Browse Topic: Electronic braking systems

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Application of a Novel Noise-Reduction Material to Reduce Squeak Noise in Automotive Instrument Panels2026-01-50657/31/2026
In recent years, driven by increasing consumer demands for vehicle aesthetics and perceived quality, automotive instrument panels (IPs) have extensively adopted materials with poor friction compatibility, such as chrome-plated strips and synthetic leather. Concurrently, the engineering requirement for tighter matching gaps between components has significantly escalated the risk of friction noise. Traditional mitigation strategies—such as material substitution, increasing gap clearances, or applying physical isolation—are often difficult to implement due to design constraints, rendering the IP a critical high-risk zone for abnormal noise. This paper proposes a methodology to mitigate squeak noise between polycarbonate/acrylonitrile butadiene styrene (PC/ABS) and its mating counterparts by modifying the viscoelastic characteristics of the PC/ABS base material through the addition of a specialized polymer. Furthermore, a neural network model was established to objectively determine the noise compatibility of these materials. Evaluations of the material compatibility before and after modification demonstrate that adding a specific proportion of the special polymer to PC/ABS significantly improves its friction compatibility with materials such as polyvinyl chloride (PVC) skin. The efficacy of this solution was confirmed through application and verification in a mass-production vehicle.
Liu, Zubin, Cao, Chunyu, Hou, Hangsheng
Impacts of Automation and Electrification Trends on Pneumatic Braking Systems of Commercial Vehicles2026-36-03417/30/2026
Historically, the demand for advanced technology, efficiency, and safety has been a primary driving force in the evolution of commercial vehicles, particularly with respect to braking systems. More recently, the increasing levels of vehicle autonomy and electrification have emerged as irreversible trends, significantly accelerating the development of new functionalities and innovative electrical/electronic [E/E] architectures. These advancements are essentially focused on performance optimization, risk mitigation, and enhanced system reliability through the application of functional safety and cybersecurity standards, thereby shaping the current landscape of braking system design. From an efficiency standpoint, braking systems with higher levels of electronic content, functional integration – included with regenerative braking systems - and harmonization have been developed to improve energy efficiency and support global scalability. Concurrently, new system configurations are continuously being introduced to enhance vehicle safety and advanced driver assistance capabilities, in alignment with evolving regulatory requirements and market expectations. This paper evaluates the impacts of automation and electrification on commercial vehicle pneumatic braking systems, focusing on Anti-lock Braking Systems [ABS], Electronic Braking Systems [EBS] and air management platforms. It provides a technical overview of both architectures, assessing their capabilities to meet modern requirements such as integration with advanced vehicle architecture, regenerative braking for electrified applications, and Advanced Driver-Assistance Systems [ADAS] support. The study details the evolution of air management systems, with emphasis on electrified vehicles, including key functions such as air compressor charge control, Air Processing Unit [APU] desiccant regeneration, and electronic control strategies. Additionally, it examines key drivers of braking system evolution, braking system selection considering ADAS regulatory developments, Net Zero strategies, and automation trends. The paper further evaluates compliance with functional safety and cybersecurity standards and assesses the readiness of both platforms for emerging mobility concepts. Finally, it highlights the risks of deploying higher levels of autonomy in heavy-duty towing vehicles when operating with non- ABS semi-trailers, identifying this as a critical area for further investigation.
Guarenghi, Vinícius Mendes, Nicora, Fabio, Pizzi, Rafael Fortuna, Resende, Angelo Roberto Rodrigues, Pinto, Gustavo Laranjeira
Development and Validation of a Braking Simulation Model Applied to a 6x2 Vehicle in Compliance with NBR 10966-22026-36-03187/30/2026
This study presents a comparative analysis of the braking performance of a heavy commercial vehicle under in-gear and out-of- gear conditions, combining experimental tests conducted at 60 km/h with high-fidelity computational simulation. The numerical model incorporates real engine torque, power, and motoring/braking curves, full brake system parameters, dynamic load transfer, tire–road friction characteristics, and ABS actuation. Simulation results were validated against experimental MFDD and stopping distance measurements. The simulation demonstrated a high correlation with the experimental MFDD values (5.3 vs. 5.36 m/s2 in the in-gear condition and 5.6 vs. 5.37 m/s2 in the out-of-gear condition), confirming the robustness of the model. Differences in stopping distance were attributed primarily to the real-world behavior of the ABS and to variability in the road surface friction coefficient. The study concludes that braking with the vehicle in gear provides improved longitudinal stability due to the resistive contribution of engine drag torque, which also reduces the thermal load on the service brakes. Overall, the results reinforce the essential role of simulation as a development, optimization, and certification tool for brake systems.
Junior, Getulio Soares, Canale, Antônio Carlos, de Oliveira, Sergio Henrique Fidelis, Pizzi, Rafael Fortuna
Factors that Influence the Determination of Adhesion Utilization of the ABS in Commercial Vehicles: A Case Study2026-36-03077/30/2026
The anti-lock braking system (ABS) plays a fundamental role in preventing wheel lockup and preserving vehicle steerability and stability during braking. In Brazil, ABS is mandatory for commercial vehicles since 2014, following CONTRAN Resolution 380/11, with the objective of improving traffic safety and reducing road accidents. The performance of an ABS is directly influenced by the characteristics of the vehicle’s braking system, including its pneumatic architecture and mechanical component sizing, which determine brake-force distribution and the frequency of ABS intervention. Regardless of these characteristics, developers must ensure that ABS efficiency complies with applicable regulatory requirements. For performance assessment, NBR 10966 Part 6 establishes procedures for measuring and calculating the adhesion utilization of ABS. Represented by the letter epsilon (ε), adhesion utilization quantifies the relationship between the braking performance achieved with ABS active and that corresponding to the vehicle’s maximum braking capacity without wheel slip. This metric provides an indirect evaluation of system efficiency. This work presents a case study conducted during the development of the ABS for a medium-heavy truck equipped with more than two axles. The study consisted of the analysis of results obtained following the adhesion utilization determination methodology defined in NBR 10966 Part 6, and of the evaluation of its applicability to multi-axle vehicles. Despite the braking system and vehicle configuration meeting all minimum static and dynamic performance requirements, the measured adhesion utilization fell below expectations. This outcome prompted a detailed investigation of both the measurement approach used for this vehicle category and the factors affecting the tire–road friction coefficient, which are independent of the braking system itself. The analysis indicated potential improvements in the test methodology for vehicles with more than two axles and highlighted the significant influence of test-track surface conditions on the results obtained.
Dias, Eduardo Miranda, Rudek, Claudemir, Travaglia, Carlos Abílio Passos
Development of an Electronic Braking System Applied to Commercial Vehicles Focused on Improvement of Braking Pedal Feeling and Braking Performance2026-36-03087/30/2026
Embedded electronics are becoming increasingly common in solutions developed for commercial vehicles. Technological advancements enabled the development of electronic solutions that provide braking systems with functions to improve safety, comfort, performance, durability, and cost-effectiveness of wear components. In this context, the electronic braking system, EBS, has become increasingly present in the electronic architecture of commercial vehicles. Considering the functions that can be developed within the electronic braking system, the following stand out: the pedal characterization, which potentially improves comfort and increases the sensation of safety during braking; and the brake force distribution, which can be adjusted to ensure that the vehicle achieves an optimal balance between performance and friction material’s durability. This work consists of the presentation of tests and results of technical activities required to develop an EBS for medium-heavy and heavy-duty vehicles designed for a variety of applications. EBS was developed to prioritize comfort and safety, with optimized braking sensation and performance without compromising the durability of the wear components of the vehicles. Activities started with the experimental determination of the brake factor—a value that transmits to EBS the braking capacity of the truck. In sequence, brake pedal setup was performed based on data extracted from a vehicle equipped with a mechanical braking system and validated by subjective assessment. In addition, the braking force distribution definition started by establishing its target: friction material’s wear equalization or braking performance; went through balancing the mechanical braking power per axle; and finished being validated by data obtained from vehicles in use. Results showed that the implementation of electronic braking systems in commercial vehicles brought several benefits to the product, in particular, improvement of braking feeling when pressing the brake pedal, and in both braking performance and friction material’s durability, which resulted in a better balance between maintenance costs and technical advantages.
Travaglia, Carlos A. P., Rodrigues, André, Rudek, Claudemir, Dias, Eduardo Miranda, Silveira, Juliana
Maximizing Autonomy, Minimizing Environmental Impact: The Cooperative Regenerative Braking2026-36-03167/30/2026
In conventional braking systems, the kinetic energy of a vehicle is predominantly converted into heat through friction, a thermodynamically inefficient process. This not only causes progressive wear of components but also leads to the release of various materials, including heavy metals and organic compounds. With increasing concern over non-exhaust emissions, the search for innovative solutions becomes imperative. In electrified vehicles (xEVs), regenerative braking emerges as a strategic technology, converting kinetic energy into electrical energy to recharge the battery and extend range. This process not only enhances the vehicle's energy efficiency but also results in reduced frequency and intensity of mechanical brake usage. Consequently, there is a direct reduction in the wear of friction braking components, which translates into a significant mitigation of particulate matter emissions associated with this wear. The optimization of these systems occurs through Cooperative Regenerative Braking (CRB), which intelligently integrates with hydraulic braking. The primary challenge lies in managing the transition between modes to recover maximum energy without compromising safety and driver comfort. This technical paper explores how CRB employs 'torque blending' via advanced ECUs and software to adjust in real-time the proportion of each braking type, aiming for maximum energy recovery in diverse driving scenarios. To verify the effectiveness of this system, practical tests were conducted on a vehicle. The results obtained from these tests were conclusive, demonstrating significant gains in energy efficiency, with an increased battery recharging capacity during decelerations, optimized by the braking system. This improvement in efficiency directly impacts the reduction in the use of the conventional friction brake system and, consequently, a sharp decrease in particulate matter emissions. In this context, the intelligent and cooperative management of regenerative braking is a strategic and fundamental component for building a more sustainable future in vehicular mobility.
Batagini, Emerson, Romão, Bruno
Research on the Performance Evaluation Method of Intelligent Chassis Vehicles Based on AHP2026-99-08617/30/2026
The comprehensive performance evaluation system for intelligent chassis vehicles comprises multi-level indicators and exhibits certain complexity. In this study, the Analytic Hierarchy Process (AHP) is employed to calculate the weights of indicators across different performance levels. Comprehensive performance is evaluated through the integration of objective indicator assessment and subjective scoring, and the evaluation results of the vehicle’s comprehensive performance are ultimately derived. This work provides a scientific scoring method for the product testing and evaluation of intelligent chassis vehicles.
Wu, Shiyu, Wang, Jingxian, Guo, Ruiling, Liang, Dong, Li, Saisai, Yu, Xuetian
Impact of Network-Induced Delays on Autonomous Vehicle Steering Stability10-10-03-00246/25/2026
This article presents a cross-layer framework that integrates realistic vehicle-to-network-to-vehicle (V2N2V) delay characterization with a rigorous stability analysis of automated vehicle steering control. Both constant and network-induced time-varying delays modeled via deterministic bounds are addressed. For constant delays, delay-independent stability regions within the controller gain space are analytically derived. For time-varying delays with stochastic network origins, modeled using deterministic bounds, a refined Lyapunov–Krasovskii functional (LKF) incorporating augmented single- and double-integral terms is constructed. To establish delay-dependent linear matrix inequality (LMI) conditions, a reciprocally convex combination approach is employed to handle the delay interval partitioning, and the second-order Bessel–Legendre inequality is applied to tighten the integral quadratic bounds. The resulting LMI conditions explicitly capture the coupled effects of delay magnitude, delay variation rate, and control gains on closed-loop stability. Simulations of a lane-keeping scenario confirm that the predicted stability boundaries accurately match the closed-loop system behavior. Notably, incorporating a realistic time-varying V2N2V delay profile into the controller design reduces the lateral-state root-mean-square error (RMSE) by over 54% and decreases the settling time by a factor of 10 compared to designs relying on an average-delay assumption. However, high packet loss rates are shown to still induce residual oscillations due to information scarcity. Ultimately, these results elucidate delay-induced instability mechanisms and provide practical guidelines for designing delay-robust steering controllers for connected and automated vehicles.
Li, Jialin, Lu, Jianwei, Wei, Heng, Ao, Di
Coordinated Path Tracking and Stability Strategy for Distributed Drive Electric Vehicles Using Model Predictive Control with Dual Feedback Adjustment10-10-04-00346/3/2026
Distributed drive electric vehicles (DDEVs) provide enhanced maneuverability through independent wheel torque control, but coordinating precise path tracking with lateral stability remains challenging under aggressive driving conditions. This paper presents a coordinated control strategy that integrates model predictive control (MPC) for path tracking with a proportional gain controller for stability regulation. The proposed framework adopts a hierarchical design. The path tracking control leverages MPC to compute front steering commands while accounting for vehicle dynamics and preview errors. The stability adjustment uses dual proportional gain controllers to generate an additional yaw moment, which is adaptively balanced through a phase plane coordination mechanism, enhancing yaw stability during path tracking. The generated yaw moment is subsequently distributed to individual in-wheel motors with an optimization torque allocation method, respecting tire force limitations. The effectiveness of the proposed strategy is validated with hardware-in-the-loop (HIL) experiments under a double lane change maneuver. Results show that the coordinated approach improves path following and maintains yaw stability more effectively than conventional methods.
He, Yang, Zhu, Yuzheng, Guo, Ruixin, Zhu, Yueying, Xing, Chao, Liu, Shuangxi, Lin, Yier
Heavy-Duty Nonroad Material Handler Electrification Part 2: Energy Efficiency and Performance Evaluation02-19-03-00166/2/2026
Decarbonization efforts achieved through electrification in nonroad mobile machinery can realize a reduction in fuel consumption of more than 20%, thanks to concepts familiar to light-duty passenger vehicles. This case study compares the results of a hybrid-electric material handler to its conventional counterpart, utilizing machine-specific drive cycles presented in part one of this paper series. The hybrid prototype features an extended-range electric vehicle (EREV) powertrain that demonstrated substantial energy efficiency improvements. Specifically, there was a reduction in equivalent fuel consumption of 75% when operating in electric-only mode, and 33% when maintaining the battery by charging with an on-board generator. Together, the efficiency improvements can be extrapolated over a low-intensity, 8-h shift characterized by significant idle time and highly dynamic engine load for a 47% reduction in net energy consumption. Key technologies that led to this improvement included engine downsizing and decoupling, regenerative braking, and an electrohydraulic pump unit with advanced controls. This study explains details of the powertrain architecture and subsystems that were implemented on a demonstration vehicle, control strategies used to meet project goals, and an analysis of energy consumption from testing on a closed course. Also included in this study is a discourse on comparison metrics that can be used for quantifying the energy consumption differences between hybrid-electric and conventional diesel powertrains in nonroad mobile machinery.
Czarnecki, Alexander, Goodenough, Bryant, Worm, Jeremy, Robinette, Darrell, LaTendresse, Phil, Westman, John, Subert, David, Heath, Matthew, Kiefer, Dylan, Black, Andrew
Limit Stability Control for Corner Module Vehicles Based on Hierarchical Hybrid Game10-10-04-00325/18/2026
Corner module vehicles (CMVs) achieve the decoupling of driving, braking, steering, and suspension, significantly enhancing vehicle handling potential, but under extreme operating conditions, the interactions between actuators severely constrain the improvement of vehicle handling performance. In order to mitigate conflicts between subsystems and enhance vehicle handling stability, a hierarchical hybrid game–based limit stability control method for CMVs is proposed in this article. Taking into account the handling potential of subsystems under limit conditions, a Stackelberg leader–follower game is designed by first designating Direct Yaw moment Control (DYC) as the leader and Active Rear Steering (ARS) as the follower. Subsequently, the DYC–ARS and Active Suspension System (ASS) were constructed into a non-cooperative game system, and the Nash equilibrium solution was solved through iteration. The lower-level controllers, respectively, established a tire force distribution model that minimizes the overall tire utilization rate and an active suspension force distribution model that does not affect the vehicle’s pitch, in order to enhance the safety margin of the vehicle under extreme conditions. Finally, the Hardware-in-the-Loop test results proved the effectiveness of the proposed controller.
Peng, Jinxin, Xiao, Feng, Ke, Yuan, Jin, Liqiang
Coordinated Stability Control for Active Rear Steering Vehicles Based on Dynamic Stability Region2026-99-07135/15/2026
To improve the handling stability of four-wheel steering/drive vehicles under complex high-speed maneuvers, this study proposes a coordinated control strategy that incorporates Active Rear Steering (ARS) and Direct Yaw Moment Control (DYC) based on a dynamic stability region. Firstly, a four-wheel steering vehicle dynamics model including lateral motion and yaw motion is established, and the ideal values of the control variables are determined. Secondly, combined with the fuzzy control theory and double-line method, the boundary of the dynamic stability region is obtained in the sideslip angle-sideslip angle rate β−β̇ phase plane, and the vehicle state is categorized into stable, unstable, and critical stable region. Then, A hierarchical control architecture is designed based on the stability boundary. The upper controller comprehensively solves the target rear wheel angle and additional yaw moment through feedforward feedback control; the coordinated control layer allocates control weights according to the stable state of the vehicle; the lower controller optimizes torque distribution through quadratic programming. Finally, the control strategy is validated by MATLAB/Simulink and CarSim co-simulation platform. The results show that the proposed control strategy reduces the RMS values of yaw rate and sideslip angle by 23.1% and 28.5% respectively, significantly improving the handling stability of the vehicle.
Nie, Kehe, Chen, Jin, Wang, Falong, Li, Ren, Bai, Xianxu
Reinforcement Learning-Based Controller for Tiltrotor Aeroelastic Stability Augmentation (Presentation Only)F-0082-2026-03365/5/2026
This study investigated the feasibility of using Deep Reinforcement Learning (DRL) for aeroelastic stability control of a Tiltrotor Aeroelastic Stability Testbed (TRAST) model. The DRL controllers use rotor swashplate inputs to minimize oscillatory wing root bending moments of the tilt rotor model. First, three DRL-based agents including Deep Deterministic Policy Gradient (DDPG), Twin Delayed Deep Deterministic Policy Gradient (TD3), and Soft Actor-Critic (SAC) were investigated to control the aeroelastic stability of the TRAST model throughout a wide range of airspeed including where the whirl flutter occurs. All three agents demonstrated the capability of stability augmentation while the SAC agent demon-strated the most robust performance. Next, the effectiveness of the SAC agent was studied further by training the SAC agent at a certain airspeed and applying the trained agent through the TRAST whirl flutter conditions. Finally, additional tuning of the SAC agent was performed to improve performance further through a hyperparameter optimization framework called Optuna.
Husain, Syed, Floros, Matt, Anusonti-Inthra, Phuriwat, Kang, Hao
Development and Validation of Torque Vectoring and Traction Control Strategies in a FSAE Vehicle Using a Dual-Axle Dynamometer HiL Platform2026-01-06444/7/2026
This study presents the vehicle control optimization of a Formula SAE (FSAE) electric vehicle developed by National Taiwan University Racing Team (NTU Racing), utilizing a dual-axle dynamometer and a real-time Hardware-in-the-Loop platform from Chroma. The novelty of this work lies in the comprehensive system-level validation of independent torque control strategies, namely Torque Vectoring (TV) and Traction Control (TC), implemented directly within the vehicle control unit (VCU), and the high-fidelity simulation of dynamic driving scenarios based on the FSAE circuit. The vehicle features an independently controlled rear-axle, two-wheel drive (2WD) configuration, consisting of two in-wheel motors, self-developed inverters, and planetary gearboxes. During testing, a pre-built CarSim driver model provides throttle, brake, and steering inputs to the VCU via Controller Area Network (CAN) interface. The VCU, in turn, computes the independent torque commands according to the TV and TC strategies, which are then transmitted to the inverters and applied to the motors. The resulting torque output from the planetary gearboxes is measured and fed back into the CarSim vehicle model to simulate the rear wheel dynamics and command the dynamometers at the corresponding rotational speeds. The results show that with the dual-axle platform, the independent torque control strategies could be tuned effectively to improve vehicle dynamics, offering a more quantitative and precise approach for performance optimization compared to conventional Model-in-the-Loop (MiL) evaluations or driver-dependent feedback from track testing.
Hsiao, Tsung-Yu, Chen, Zhi-Ren, Jian, Rong-Wei, Chen, Tai-Hsiang, Wang, Tai-Jie, Hu, Wei-Zhe, Ho, Hui-Ting, Wu, Ting-Yu, Lin, Ting-He, Chiu, Joseph
Embedded Real-Time Control of a Distributed Trailer Propulsion System with Regenerative Braking for Net Neutral Load Towing2026-01-00654/7/2026
Towing imposes substantial efficiency penalties on both battery-electric vehicles (BEVs) and internal combustion engine (ICE) vehicles, reducing range by 30-50%. This paper presents a proof-of-concept embedded control architecture for distributed trailer propulsion that actively regulates drawbar force to reduce towing loads. Unlike proprietary e-trailer systems requiring specialized hardware, the proposed implementation demonstrates feasibility using commercial off-the-shelf (COTS) components and open-source software. The distributed architecture employs dual Raspberry Pi 4B single-board computers communicating via ROS 2 at 20 Hz. The trailer-mounted controller executes a Simulink-generated control node coordinating load cell acquisition (HX711 ADC), motor CAN bus telemetry, and throttle commands to a 5 kW BLDC traction motor powered by a 5 kWh LiFePO4 battery pack. A vehicle-mounted controller logs OBD-II/CAN validation data. The control pipeline implements cascaded EWMA/Hampel digital filtering with intentional phase lag for hitch-force regulation. The system was validated through on-road testing with an ICE towing vehicle pulling a 1,000-lb trailer over standardized 2.1 km segments following SAE J1321 Type II procedures. Preliminary trials demonstrated stable control performance with drawbar force regulation with no oscillatory behavior. Fuel consumption measurements showed promising improvements (9.4% lower fuel consumption in assisted vs. baseline conditions), though limited sample size precludes definitive causal claims. The primary contribution is establishing technical feasibility of cost-effective COTS implementation (USD 5,000 hardware cost) for trailer propulsion control, providing a foundation for expanded validation studies and commercial deployment pathways.
Joshi, Gaurav, Adelman, Ian, Liu, Jun, Donnaway, Ruthie
Vehicle Test Platform with Experimentally Correlated Tire Model for Torque Vectoring Control2026-01-06224/7/2026
This paper presents a testing platform for the development of lateral stability control systems in independent motor electric vehicles (EVs). A 10 degree of freedom (DOF) vehicle simulation and a radio control test vehicle are constructed to enable controls validation scalable to full size vehicles. These vehicle simulations, or ‘digital twins’, have been widely adopted throughout the automotive industry due to their lower operating costs and ease of implementation. Virtual models are not perfect representations of reality, however, and physical testing is still necessary to validate systems for use in the real world. This is especially true when testing safety-critical features such as stability control. As a result, a simulation environment working in conjunction with a test vehicle represents an optimal hybrid approach. In this work, a high fidelity vehicle model is constructed in the Matlab/Simulink environment. To capture the effect of suspension, the digital twin is capable of modeling all angular and linear degrees of freedom of the vehicle body. The vehicle model must also estimate wheel forces during high-sideslip maneuvers. The Pacejka Magic Formula is used for its accurate representation of tire behavior in highly transient driving scenarios. This vehicle model describes the behavior of a physical vehicle. For this purpose, a 1/5 scale radio controlled vehicle with independent rear wheel propulsion is designed and assembled. All physical parameters of the test vehicle required by the vehicle model are estimated through direct measurement or estimation through test maneuvers. Magic formula coefficients are estimated from GPS, inertial, and odometry measurements collected throughout defined test maneuvers. Vehicle model behavior is then benchmarked against the test vehicle. An S-curve maneuver is performed in simulation and experimentation to ensure accuracy and consistency across transient and steady state behavior. In future work, focus will turn to creating an ADAS control system which re-stabilizes a vehicle after a collision using torque vectoring.
Petersen, Nicholas Conner, Robinette, Darrell
Quantifying the Impact of Towing on BEV Energy Use: Instrumented On Road Testing and Chassis Dynamometer Reproduction2026-01-04314/7/2026
Electrification is rapidly entering all vehicle classes, including light- and heavy-duty trucks designed for heavy towing capabilities. Still, the quantitative impact of towing on battery-electric vehicle (BEV) energy use and range remains under-characterized. We conducted controlled towing tests with a Ford F-150 Lightning using two trailers of different sizes and varying payloads to isolate aerodynamic and mass effects and to span the full range of towable payloads within the vehicle’s rated capacity. The vehicle was instrumented at the CAN bus level, capturing motor power, torque, speed, and related internal signals from different control modules. On-road testing consisted of repeated back-and-forth passes on level, straight road segments at set speeds focusing on highway operation, where aerodynamic drag is stronger and real-world towing use cases occur. From these data, we extracted road load equations and dynamometer coefficients for each trailer combination, then reproduced equivalent conditions on a four-wheel drive chassis dynamometer across several standard cycles. Results were consistent across runs, showing a significant increase in the vehicle’s overall energy consumption and a corresponding range penalty. Additional impacts on vehicle systems due to towing, including thermal management of the motors and battery, were quantified. Dynamometer tests of varying characteristics (highway, urban, steady state speeds and accelerations) allow isolation of specific behaviors in functions like regenerative braking operation and torque-split strategy. Dynamometer results aligned with on-road measurements, enabling repeatable laboratory evaluation of towing scenarios. These findings provide a validated methodology and dataset to quantify towing impacts on BEVs, inform range prediction and route planning, support labeling and consumer guidance, and characterize sustained, high load real world operation of vehicle components.
Timermans Ladero, Inigo
Backlash Evasion Strategy for Enhancing Vehicle Cornering Performance2026-01-06404/7/2026
This study presents a torque distribution control strategy for EVs with e4WD powertrain to overcome the trade-off between ensuring vehicle acceleration and deceleration responsiveness and mitigating backlash shock in the driving system. The deterioration of the drivability which occurs from the intrinsic hardware characteristics of the drivetrain is prevented by designing a response-priority drive mode in which neither front or rear motor torque is allowed to change its sign. Instead, in such drive mode, the front motor torque is only allowed to perform regenerative braking while the rear motor torque is only allowed to produce positive acceleration torque. In order to avoid sacrificing the maximum acceleration by applying such strategy, the mode transition function is implemented as well. In addition, in order to prevent backlash impact due to drivetrain compliance, variable offset torque based on drivetrain compliance model is evaluated in real time and applied to each motor command generation strategy. The enhancement of vehicle drivetrain responsiveness directly leads to improved track driving performance, particularly for the neutral-balance phase during harsh cornering. The effectiveness of the suggested driveline torque distribution method is verified using an actual vehicle driven on the race track, and the vehicle responsiveness followed by track driving performance indices are numerically assessed for comparison.
Oh, JIWON, Lee, Ho Wook
Predictive Assessment of Drum Brake Squeal Utilizing Advanced Time-Domain CAE Synthesis2026-01-02214/7/2026
With the growing trend of electric vehicles (EVs) incorporating regenerative braking systems, many compact SUVs, including hybrids and EVs, still utilize drum brakes on the rear wheels to strike a balance between cost, performance, and durability. Drum brake squeal remains a complex and persistent challenge in the field of vehicle noise, vibration, and harshness (NVH). This issue stems from dynamic instability caused by time–dependent friction forces. Traditional linear modal analysis has been used to study the mechanisms behind drum brake squeal, focusing on harmonic vibrations in large–scale models. However, these methods often fail to accurately correlate with real world behavior due to the presence of extra, non-physical modes. To address this, time–domain analysis approaches have been explored, incorporating detailed friction models and contact mechanics. These methods consider different root causes for high and low–frequency squeal and have shown promising results in accurately predicting brake squeal behavior when validated against experimental data.
Song, Gavin, Kazimierczyk, Stanislaus, Vlademar, Michael, Venugopal, Narayana
A Study of Federal Motor Vehicle Safety Standard 126 and 136 Test Procedures on a Class 5 Vehicle2026-01-06164/7/2026
Federal Motor Vehicle Safety Standards (FMVSS) 126 and 136 are standards imposed on four of the eight recognized road vehicle classes in The United States. These standards make it mandatory for Electronic Stability Control modules (ESC) to be mounted to Class 1,2,7, and 8 vehicles. These modules strategically activate the vehicle brakes via the Antilock Brake System (ABS) to limit the recorded yaw rate and lateral displacement of a vehicle during an extreme cornering maneuver such as a sudden swerve to avoid an obstacle on the road. The two aforementioned FMVSS mandates also specify three different driving maneuvers that are conducted to profile and analyze ESC module performance. There is now an interest in creating a new FMVSS that makes ESC modules mandatory for Class 5 vehicles. The purpose of this paper is to analyze how one specific Class 5 vehicle’s ESC module performed when subjected to the two test procedures that correspond to FMVSS 126 and 136. As will be seen, the vehicle’s ESC performed quite well for the FMVSS 126 testing criteria and not as well with the FMVSS 136 testing criteria. The details of these results should both be considered if and when a new FMVSS ESC mandate is to be produced. To aide in the creation of such a mandate, additional experimental and simulation data will be necessary from other Class 5 vehicles. Simulated driving maneuvers with an accurate vehicle model will prove valuable in this pursuit. The results of such simulations will be discussed and the value that they bring will help to expedite the formation of the proposed FMVSS that covers these vehicles.
Cazares, Richard Isaac, Guenther, Dennis, Heydinger, Gary
Modular 3-D Lumped-Parameter Thermal Network for Thermal Estimation of Permanent-Magnet Synchronous Motors in Electromechanical Braking Systems2026-01-01364/7/2026
As electric intelligent vehicles advance, drive-by-wire systems are increasingly adopted, and the thermal reliability of electromechanical brake (EMB) motors—the key actuators—remains safety-critical. Under stalled-rotor operation, unequal DC currents are typically applied to the three phases, producing nonuniform winding heating. Conventional thermal models can miss the associated tangential heat-transfer effects, increasing the risk of phase-wise end-winding hot spot. This paper analyzes EMB motor thermal behavior under stalled-rotor conditions using a modular 3-D lumped-parameter thermal network (LPTN). First, a standardized tooth module with external interfaces is developed. Its internal parameters are informed by experiments and computational fluid dynamics (CFD) and identified via particle swarm optimization (PSO), allowing the module to be encapsulated for reuse. Next, based on the machine topology, a minimal motor is derived and multiple tooth modules are interconnected through common nodes to form a modular 3-D LPTN that resolves radial, axial, and tangential heat-flow paths. Finally, a stepwise, weighted PSO is applied—module level followed by system level—to calibrate the full network. The tooth-module abstraction also enables rapid network assembly, and the boundary-cooling and loss-allocation modules can be updated to accommodate different cooling architectures and heating patterns while retaining the same internal formulation. Bench tests with inhomogeneous three-phase heating, validated against three-phase end-winding thermocouple measurements, show that the proposed model predicts temperatures more accurately than existing LPTNs. These results indicate that explicitly accounting for tangential heat exchange can improve temperature prediction for EMB motors under stalled-rotor duty and provides a reusable template for other concentrated-winding machines subject to nonuniform thermal loading.
Duan, Yanlong, Xiong, Lu, Wang, Xinjian, Zhuo, Guirong, Zeng, Jie
An Adaptive Brake Force Allocation Strategy for Rear-Wheel Driven EVs2026-01-06364/7/2026
Due to changed requirements compared to conventional propulsion concepts, electromobility demands new and innovative strategies for energy-efficient vehicle motion control. For example, the challenge in purely rear-wheel drive (RWD) electric vehicles (EVs) is to achieve a maximum of regenerative braking power in order to increase energy recovery and to ensure, that this does not impair the braking stability. Within this conflict between energy efficiency and braking dynamics, it is necessary to design an intelligent strategy to optimise recuperation. This paper presents such a strategy, which improves an existing approach formerly presented by the authors, but specifically optimised to overcome weaknesses. The previous approach had two major limitations: First, the efficiency map of the in-wheel machines (IWMs) was not considered. Second, there was no possibility of switching flexibly between different brake force distributions to guarantee both, maximized recovery potential and high braking stability, in fulfilment of legislative requirements. The new strategy addresses these shortcomings by introducing a speed-dependent torque limit for the electric drive motors to avoid inefficient operating and uses two independent factors to manipulate the brake force distribution along the axles and vary the distribution between the actuators. In addition, various scenarios were analysed and incorporated into the new strategy in order to achieve optimal torque distribution in every driving situation. The developed approach was implemented into a real vehicle and extensively tested in driving trials on closed-off terrain and on public roads. The results of the investigation demonstrate the ability to ensure stable vehicle control and a 45.3 % increase in energy recovery in comparison to the established benchmark.
Mitsching, Thomas, Heydrich, Marius, Ivanov, Valentin
Characterizing Regenerative Braking of the Tesla Model 3 Using Chassis Dynamometer Testing2026-01-04534/7/2026
Regenerative braking has a strong influence on the energy efficiency and drivability of battery-electric vehicles. This study establishes an empirical baseline analysis under controlled conditions of the regenerative braking behavior of the 2020 Tesla Model 3 to support the interpretation of on-road performance and serve as a reference for subsequent testing and analysis. The tests were performed on a four-wheel-drive chassis dynamometer at Argonne National Laboratory, combining Multi Cycle Testing (MCT) to simulate real world driving patterns (city, highway) with coast-down tests to isolate periods where the motor is operating in regen mode and compare the behavior across different parameters. Vehicle data was collected from the vehicle using taps in the Controller Area Network (CAN) bus as well as a high-resolution power analyzer. The vehicle displayed the highest efficiency during simulated city driving conditions (3.62 miles/kWh followed by highway (3.40 miles/kWh) and aggressive (2.53 miles/kWh) conditions, though aggressive driving showed the highest energy recovery. Regenerative energy recovery was most efficient in the 10 – 30 mph range, with the rear motor regenerating all the energy while the front motor used a small amount of power. Standard regen mode achieved 57% greater deceleration during coast down compared to Low Regen mode and showed a much lower variability during different simulated uphill and downhill conditions. Standard mode collected more energy than Low mode in all cases apart from simulated downhill tests where Low mode performed better. These results provide an overview of the Tesla Model 3 regenerative braking behavior and delineate operating regimes that maximize efficiency and quantify trade-offs between deceleration stability and energy recovery across driver-selectable modes. The results provide a rigorous, reproducible baseline and measurement protocol that can enable cross-vehicle benchmarking, validate vehicle/software-in-the-loop models, and inform future controller calibration and the design of on-road and track experiments
Pierce, Benjamin Branch, Di Russo, Miriam, Das, Debashis, Zhan, Lu, Stutenberg, Kevin
Research on Vehicle and Longitudinal Tire Model Parameters Identification Based on Electro-Mechanical Brake System2026-01-06344/7/2026
The Electro-Mechanical Brake (EMB) system is a novel type of brake by wire systems with independently controllable characteristics. This system aids in the decoupling analysis of the vehicle and actuator dynamics, thereby improving the accuracy of parameter identification. Therefore, this paper proposes an innovative parameter identification method for vehicle parameters and longitudinal tire model parameters, based on the characteristics of the EMB system and onboard sensors. First, based on the wind resistance and rolling resistance coefficients obtained from the vehicle coasting conditions, a decoupled constant clamping force sequence braking condition for the front and rear axles is designed by integrating the characteristics of the EMB actuator and vehicle dynamics. This approach enables the identification of vehicle and nonlinear longitudinal tire model parameters, significantly improving the accuracy of parameter identification. Next, considering the nonlinear characteristics of the longitudinal tire model, a factorial experiment is conducted to analyze the impact of the Particle Swarm Optimization (PSO) optimization algorithm parameters on the identification process from three perspectives: iteration count, computation time, and optimal function value. Furthermore, the effectiveness of three PSO variants: the Compressed Factor PSO (CF-PSO), the Adaptive Weight PSO (AW-PSO), and the Hybrid PSO (H-PSO), was investigated for identifying the nonlinear characteristics of the longitudinal tire model. Finally, through data simulation and real-vehicle experiments on both high-adhesion and low-adhesion roads, the effectiveness and accuracy of the proposed vehicle parameter and longitudinal tire model parameter identification method based on EMB system characteristics are verified through a comprehensive evaluation of multiple indicators, and the method’s validity is further confirmed using data backfill and model benchmarking.
Huang, Jiayi, Cheng, Yulin, Zhuo, Guirong, Le, Qiao, Wei, Wei, Shu, Qiang
Optimal Control Analysis of Minimum-Time Maneuvers for Vehicles Recovering from Instability2026-01-02184/7/2026
Vehicles may enter highly unstable dynamic states due to lateral collisions, sudden loss of grip, or extreme steering disturbances. When such instability arises in congested road sections where obstacle avoidance is required, the safety risk to both the ego vehicle and surrounding traffic escalates significantly. In such scenarios, the vehicle must not only regain stability but also navigate the roadway in the shortest feasible time to prevent secondary collisions. This paper investigates the minimum-time maneuver of a vehicle starting from an unstable dynamic condition and constrained to travel within prescribed road boundaries. A single-track vehicle model with combined-slip nonlinear tire model is employed to capture the vehicle dynamics under high slip conditions. Phase-plane analysis is conducted to reveal how control inputs reshape the system’s vector field and influence the possibility and speed of stability recovery. An optimal control problem is formulated to compute the minimum-time control sequence subject to both dynamic and kinematic constraints, actuator limits and road boundary constraints. The optimal control problem accounts for both stabilization and rapid progression through the constrained road segment. Simulation results on straight and curved road sections show that the minimum-time maneuver consistently exhibits a two-stage structure. The vehicle initially undergoes a stabilization phase, characterized by spiral convergence in the (β, r) phase plane. After stability is restored, the optimal maneuver transitions into the second phase where the vehicle follows the minimum-time trajectory dominated by the road geometry. The findings suggest that, in emergency scenarios, stability recovery should be prioritized before attempting aggressive avoidance or cornering maneuvers.
Leng, Jiatong, Yu, Liangyao, Wang, Yongxin, You, Weijie, Li, Ziang, Jin, Zhipeng
A Cooperative AFS/DYC Lateral Stability Control for FWDIEV Based on Dissipative Energy Method2026-01-06194/7/2026
To enhance the lateral stability of four-wheel-drive intelligent electric vehicles (FWDIEV) under extreme operating conditions, this paper proposes a cooperative control strategy integrating active front steering (AFS) and direct yaw moment control (DYC) based on dissipative energy method. A nonlinear three-degree-of-freedom vehicle model is established to analyze the evolution of the vehicle state phase trajectory. A quantitative lateral stability index is constructed using dissipative energy to accurately evaluate the vehicle’s lateral dynamics. Utilizing dissipative energy and its gradient information, a time-varying stability boundary is defined under dynamic constraints, and adaptive weighting coordination between the AFS and DYC systems is designed to achieve coordinated control of front steering angle and additional yaw moment. A feedforward–model predictive control (FF-MPC) framework is developed, in which a feedforward module generates compensation based on driver intent to improve system responsiveness, while the model predictive controller predicts real-time vehicle states and optimizes the front steering angle and yaw moment control inputs. This enables cooperative tracking of the yaw rate and sideslip angle, effectively suppressing lateral motion errors. Furthermore, an optimal torque distribution strategy is formulated with the objective of maximizing tire–road friction utilization, incorporating constraints such as tire load rate and motor output capability to prevent wheel slip and improve handling stability. The effectiveness of the proposed control strategy is validated through both CarSim/Simulink co-simulation and real vehicle tests under typical maneuvers such as high-speed double lane change on various road surfaces. Results demonstrate that the proposed method significantly reduces tracking errors in yaw rate and sideslip angle compared to conventional MPC strategies, thereby enhancing lateral stability and ensuring driving safety under extreme conditions.
Zhao, Kun, Zhao, Zhiguo, Wang, Yutao, Xia, Xue, Chen, Xi, Hu, Yingjia
Redefining Tractor Braking: An Automation-Based Approach for Safety and Efficiency Across Global Applications2026-01-00054/7/2026
Agriculture sector is undergoing a phenomenal transformation, driven by the legislative requirements mandated by countries worldwide to tackle global warming through stringent global emission and on the need to improve operator safety, productivity, particularly on sloped and uneven terrains. Conventional tractors with internal combustion engines (ICEs) have been in use for decades but they often have issues over coordinated control on inclined terrains, especially during load transitions, start-stops, and loader operations. Due to which operators have a critical task of maintaining vehicle stability, controlling rollback on gradients — leading to compromised efficiency, safety risks, and increased fatigue. Global Emission Norms are getting stringent and the justification to end user on the Incremental value proposition is getting difficult to make the products appealing. To address these multifaceted challenges, this paper presents the architecture and functional strategy to increase the productivity & safety of tractor operators through automation of Braking related tasks. This concept is designed in such a way that it can be deployed in multiple power train options. A key innovation explored is the automation of One side braking done in headland turns which helps to completely get rid of Skill and expertise in increasing the productivity. Another interesting feature is Hill Hold functionality where a spring-applied hydraulically released (SAHR) cylinder is used. Hill Hold through E- motor-based torque has also been explored for deployment of the similar solution to deliver much improvised solution in alternate power train. Solution discussed has been designed to meet stringent braking regulations worldwide and has been tested to confirm the same. Automation of One side braking has resulted in Fuel savings & increased productivity and test results confirm savings of about INR 23000 due to fuel and INR 37000 due to increased productivity.
M, Rojer, Natarajan, Saravanan, Muniappan, Balakrishnan
Two-Channel Pressure Control Using an Electric Cylinder and a Solenoid valve for Electronically Controlled Brake Systems2026-01-06384/7/2026
With the rapid proliferation of electrified vehicles (xEVs), maximizing regenerative energy recovery has become a crucial challenge in realizing zero-emission mobility. In front-wheel-drive (FWD) vehicles, regenerative braking acts only on the front axle, resulting in a braking-force distribution biased toward the front. When uniform hydraulic pressure is applied to both axles, excessive braking force on the front wheels may cause premature wheel lock and hinder the intended regenerative braking effect. To address this issue, it is essential to implement an independent pressure control strategy (two-channel pressure control) that appropriately reduces front pressure according to regenerative force while independently maintaining adequate rear pressure. This study proposes a new two-channel pressure control architecture utilizing a simple and reasonable actuator set consisting of one electric cylinder and one solenoid valve. The electric cylinder generates hydraulic pressure by adjusting piston displacement to supply the required volume, while the solenoid valve provides the necessary differential pressure between front and rear circuits. By separating the feedback control objectives of the two actuators, the system effectively mitigates control interference that may cause pressure deficiency or sluggish response. The proposed control was implemented in a two-box electronically controlled brake system comprising an upper unit (an electric cylinder and a solenoid valve) and a lower unit (conventional ESC actuator). Bench and vehicle-level tests were conducted to evaluate the proposed two-channel pressure control. The results confirmed that the control strategy provided sufficient stability and hydraulic response, thereby enabling smooth regenerative braking coordination. Given this performance, despite employing a minimal actuator configuration, the system was verified to deliver approximately a 1–2% improvement in fuel economy relative to conventional one-channel control.
Kaneko, Shosuke, Deno, Yoshitomo, Kobayashi, Tatsushi, Kawamura, Hikaru
Control Strategy Optimization to Improve Energy Efficiency of Electric Wheel Loader Wheel Drive System02-19-02-00113/27/2026
Driven by the dual-carbon goals of “peak carbon emissions” and “carbon neutrality,” improving energy efficiency in electric construction machinery has become a key focus. This study proposes an energy-saving torque control strategy for the traction motor of electric wheel loaders, aiming to reduce drive system energy consumption. The innovation lies in coupling parameter optimization of the pedal–torque mapping and regenerative braking to enhance overall efficiency. An electric model was built using Cruise and validated against real-world V-cycle test data, showing good agreement with an average relative error of 4.08%. Based on the model, two optimized control strategies were developed and evaluated through simulations and field tests. The results showed energy savings of 7.08% and 16.18% in simulation, and 6.83% and 15.51% in tests, respectively, demonstrating the effectiveness and practical value of the proposed method.
Ming, Qiaohong, Wang, Yangyang, Wang, Feng
Yaw Coordinated Control Based on Fuzzy Control and Stability Region Theory10-10-03-00182/23/2026
Electric vehicle chassis integration control aims to improve vehicle handling and comfort. Previous studies encountered significant practical limitations, such as computational overhead in real-time execution scenarios. Designing effective and efficient algorithms for actuator coordination remains challenging. This article presents a synergetic controller for chassis coordination, combining fuzzy logic and stability region theory. First, the controller targets are the yaw rate and side slip angle, which are obtained from a highly accurate multi-body dynamic model. In addition, based on the generated fuzzy rules, the system calculates the required additional yaw moments for each actuator and optimizes their output. Then, the designed controller can distribute control effort optimally in real-time between braking and rear-wheel steering based on the stability status of the vehicle. Furthermore, a stability factor approach is used to formulate a dynamic safety strategy executed by the chassis. It helps to create the safety boundary of the vehicle and avoid excessive force and angle of execution. Finally, real-vehicle tests are conducted, and the experimental results and real-vehicle tests demonstrate significant improvements: steering wheel angle reduction by 10%, enhanced yaw stability (9% higher safety threshold) for the slalom test, and better elk testing performance (>2%). The proposed method offers practical, real-world applicability and provides valuable insights and a reference for yaw control research in the automotive industry.
Liao, Yinsheng, Hu, Zhiming, Cheng, Yuanshu, Lin, Ruya, Sun, Yue, Gao, Sixiao, Zhang, Junzhi
Sensitivity Analysis toward Differential Braking as Backup Steering Functionality2026-01-50132/20/2026
This paper presents a novel sensitivity analysis framework for differential braking as a backup steering solution in fail-operational Steer-by-Wire systems. The fault-tolerant design approach of Steer-by-Wire and steering systems for highly automated driving relies on the availability of road wheel actuators (RWA). Redundancies are therefore commonly used to ensure fail-operationality. Since its widespread implementation in production vehicles through electronic stability control, the use of differential braking as a cost-effective measure is desirable to increase functional diversity. However, feasible lateral accelerations through this backup solution are limited compared to conventional steering systems and lie close to ordinary driving scenarios. To address this limitation, this work investigates the influence of chassis parameters on differential braking performance. After defining characteristic values and a simulation test plan, a preliminary analysis using a linear single-track model incorporating differential braking is conducted. The most influential vehicle parameters are identified, including the newly derived effect of rear axle cornering stiffness—an aspect not previously quantified in this context. A second, more detailed sensitivity analysis is performed using a characteristic-based dual-track model equipped with representative brake, steering, and chassis subsystems. Parameter variation ranges are derived from distributed data-based sources. The resulting total effects reveal new insights into the sensitivity of chassis design parameters, including scrub radius, steering friction, rear axle cornering stiffness, and coupling effects of suspension and kinematics. The findings provide valuable guidance for future chassis design in fail-operational steering systems and highlight the importance of underexplored parameters in achieving reliable lateral dynamics through differential braking.
Salzwedel, Leon, Iatropoulos, Jannes, Heise, Cedric, Frohn, Christian, Henze, Roman
Benchmark of Conventional and By-Wire Brake System Layouts for Electric Vehicle Applications by Numerical Simulations2026-01-50082/3/2026
The recently increasing global concern about sustainability and greenhouse gas emission reduction has boosted the diffusion of electric vehicles. Research on this topic mainly focuses on either re-designing or adapting most conventional vehicle subsystems, especially the propulsion motor and the braking components. In this context, the present work aims to model, analyze, and compare three-braking system layouts design alternatives focusing on their contribution to vehicle performance and efficiency: a commercial vacuum-boosted hydraulic braking system, a commercial integrated electrohydraulic braking system, and a concept distributed electrohydraulic brake system. Braking systems performance are evaluated by simulating key maneuvers adopting a full model of a battery electric vehicle (BEV), which includes all relevant components like tires, and powertrain dynamics, which is validated against real-world data. Implementation and integration of the first two systems are discussed, followed by the design and detailed modeling of the third, which includes a control strategy for pressure modulation, including antilock braking system (ABS) and electronic stability control (ESC) functionalities. Once the simulation environment is set, simulations are performed and KPIs are defined to compare the three braking systems from both the performance and the energy consumption point of view. The results show that the distributed electrohydraulic system reduces the time to lock by 30.8%, the stopping distance by 5.89%, and the energy consumption by more than 50% in specific test cases compared to the analyzed vacuum-boosted system due to its distributed hardware and control architecture and power-on-demand operation.
Savi, Lorenzo, Garosio, Damiano, Floros, Dimosthenis, Vignati, Michele, Travagliati, Alessandro, Braghin, Francesco
Simulation Research on Torque Vectoring, Braking, Chassis Control Strategies for Electric & Hybrid Vehicles using System Simulation2026-26-04231/16/2026
Electric Vehicles and Plug-in Hybrids alleviate the energy crisis but pose a unique challenge for vehicle dynamics. Though significant developments in motor control strategy and energy density management are evolving, we face significant challenges in torque management, with several ADAS features being an integral part of the EVs/xHEVs. It demands high-fidelity physical and control model exchanges between electric chassis, ride-handling, tire modelling, steering assist, powertrain, and validation using a 0D–1D platform. This paper explicates a unified strategy for improving overall vehicle performance by intelligently distributing and coordinating drive torque to enhance traction, stability, and drivability across diverse operating conditions through co-simulation. The co-simulation platform includes physical models in AMESIM, and control strategies integrated in MATLAB/Simulink. The platform features comprehensive representations of digital vehicles that require detailed modelling of the electric motor, transmission, differential, suspension, wheel dynamics, resistive forces (aerodynamic drag, rolling resistance), and road gradient effects, enabling accurate emulation of real-world vehicle behavior. Correlation of test vs. simulation validates the functionality and robustness of the interaction between physical, basic, and application software control strategy. Digital vehicle validation includes traction-based torque limitation (Correlation: >90%), distributing proportionate hydraulic and regenerative braking to improve braking performance, one-pedal driving and stoppage (Correlation: > 85%), SOC influence on regenerative braking, and smooth torque vectoring during dynamic behavior. Evaluation of diverse driving scenarios like, Gradient profiles (Uphill/Downhill/Curvilinear banking), Gradient-μ surfaces for real-world road profiles extracted from GPX/OSM data. Outcome of correlation details reduction of torque fluctuation, vehicle jerk during mode switching & stoppage, Anti-rollback, Aggressive Acceleration, Failure mode mimicking inverter failure in E-powertrain to construct a dynamic target to avoid lateral deviation.
Eruva, Patrickxavier, Sarapalli Ramachandran, Raghuveeran, Chougule, Sourabh, Natanamani-Pillai, Siva Subramanian, Scheider, Clement, Leclerc, Cedric, Natarajasundaram, Balasubramanian
Scalable and Modular Data-Driven Hybrid Chassis Dynamometer Framework for EV Powertrain Evaluation2026-26-03631/16/2026
In its conventional form, dynamometers typically provide a fixed architecture for measuring torque, speed, and power, with their scope primarily centered on these parameters and only limited emphasis on capturing aggregated real-time performance factors such as battery load and energy flow across the diverse range of emerging electric vehicle (EV) powertrain architectures. The objective of this work is to develop a valid, appropriate, scalable modular test framework that combines a real-time virtual twin of a compact physical dynamometer with world leading real-time mechanical and energy parameters/attributes useful for its virtual validation, as well as the evaluation of other unknown parameters that respectively span iterations of hybrid and electric vehicle configurations, ultimately allowing the assessment of multiple chassis without having to modify the physical testing facility's test bench. This integration enables a blended approach, using a live data source for now, providing a point of calibration and validation for the virtual model(s), as well as using the virtual model capability to determine other unknown/measurable characteristics about the physical model. So, this test framework makes that system's capability, representing an enhancement to its ability, with a virtual twin merging them together to enable virtual evaluation of multiple configurations of the chassis without changing the physical test stand. So, this combined real-world and virtual framework offers a scalable and flexible testing and modelling platform for both early performance characterisation, as well as life cycle-based energy evaluations. In responding to the identified gaps, this work introduces an innovative hybrid chassis dynamometer framework that applies to a real-world test bench in tandem with a concurrently simulated virtual model, offering early-stage validation and optimisation potential using the shift-left development proposition. The result is a reusable and forward-thinking platform supporting efficient EV development by forecasting and drawing informed insights into energy flow, battery performance, and lifecycle behaviour from ahead of typical physical testing boundaries.
Kumar, Akhilesh, V, Yashvati
Enhancing Range Prediction Accuracy for the BEV: Bridging the Gap between Simulation and Real-World Testing2026-26-05211/16/2026
Accurate range estimation in battery electric vehicles (BEVs) is essential for optimizing performance, energy efficiency, and customer expectations. This study investigates the discrepancies between physical test data and simulation predictions for the BEV model. A detailed range delta analysis identifies key contributors to the observed deviations, including regenerative braking inefficiencies, increased propulsion demand, auxiliary loads, and estimated drivetrain losses within the Electric Drive Module (EDM) during traction and regen. Results indicate that the test vehicle exhibits lower regenerative braking efficiency, higher traction forces and lower regen energy than predicted by simulations, primarily due to EDM inefficiencies and friction brake usage during regeneration. The study underscores the importance of refining simulation methodologies by integrating real-world, test based EDM loss maps to improve accuracy and better align predictive models with actual vehicle performance. Future work will focus on enhancing simulation fidelity and minimizing range estimation deviations to support BEV development and validation.
Mahajan, Prasad, Kesarkar, Sidhesh, Ali, Shoaib
High-Fidelity Modeling of Vehicle Dynamics for Control-Oriented Stability Enhancement2026-26-00931/16/2026
This study presents an integrated vehicle dynamics framework combining a 12-degree-of-freedom full vehicle model with advanced control strategies to enhance both ride comfort and handling stability. Unlike simplified models, it incorporates linear and nonlinear tire characteristics to simulate real-world dynamic behavior with higher accuracy. An active roll control system using rear suspension actuators is developed to mitigate excessive body roll and yaw instability during cornering and maneuvers. A co-simulation environment is established by coupling MATLAB/Simulink-based control algorithms with high-fidelity multibody dynamics modeled in ADAMS Car, enabling precise, real-time interaction between control logic and vehicle response. The model is calibrated and validated against data from an instrumented test vehicle, ensuring practical relevance. Simulation results show significant reductions in roll angle, yaw rate deviation, and lateral acceleration, highlighting the effectiveness of the proposed approach. Overall, the framework offers a scalable and robust foundation for developing adaptive stability control systems in modern four-wheeled vehicles
Duraikannu, Dinesh, Dumpala, Gangi Reddi
Design Optimization of the Propeller Shaft and Transfer Case for High-Speed 4WD Vehicles2026-26-03431/16/2026
Nowadays, vehicle enthusiasts often vary the driving patterns, from high-speed driving to off-roading. This leads to a continuous increase in demand for four-wheel drive (4WD) vehicles. A 4WD vehicle have better traction control with enhanced stability. The performance and reliability of 4WD vehicles at high speeds are significantly influenced by driveline stiffness and natural frequency, which are largely affected by the propeller shaft and transfer case. This study focuses on the design optimization of the transfer case and the propeller shafts to enhance the vehicle performance at high speeds. The analysis begins with a comprehensive study of factors affecting the power transfer path, transfer case stiffness, and critical frequency, including material properties, propeller shaft geometry, and different boundary conditions. Advanced computational methods are employed to model the dynamic behavior of the powertrain, identifying the natural frequency of the transfer case and propeller shaft. Design parameters are modified by using optimization methods to ensure the critical frequency is outside the vehicle's operating speed. The modification involves to power transfer path of the transfer case, as well as the material and diameter of the propeller shaft. The optimized design is validated with a 4WD vehicle to ensure safe operating frequency and minimize resonant vibrations in the driveline systems at high speeds. The results indicate that the significant improvements in the performance of the transfer case and propeller shaft, reducing driveline vibrations and enhancing system reliability.
Kumar, Sarvesh, Yadav, Sahdev, S, Manickaraja, Sanjay, L, Kanagaraj, Pothiraj, Jain, Saurabh Kumar, Deole, Subodh M
Optimization of Inverter Control Strategies for Improved Powertrain Efficiency Using E-Motor Emulation Platforms2026-26-05091/16/2026
As the brain and the core of the electric powertrain, the traction inverter is an essential part of electric vehicles (EVs). It controls the power conversion from DC to AC between the electric motor and the high-voltage battery to enable effective propulsion and regenerative braking. Strong and scalable inverter testing solutions are becoming more essential as EV adoption rises, particularly in developing nations like India. In India, traditional testing techniques that use actual batteries and e-motors present several difficulties, such as significant safety hazards, inadequate infrastructure, expensive battery prices, and a shortage of prototype-grade parts. This paper presents a comprehensive approach for traction inverter validation using the AVL Inverter TS™ system incorporating an advanced Power Hardware-in-the-Loop (PHiL) test system based on e-motor emulation technology. It enables safe, efficient, and reliable testing eradicating the need for actual batteries or mechanical loads. Testing across signal and power levels and the validation of both inverter hardware and software under real-world driving scenarios can be facilitated with proposed test system. Indian OEM challenges like reduction in battery development costs, ensuring high replication precision, and managing thermal and power instability in early-stage prototypes are primary focus areas for this test system. With the Inverter TS, various motor types (IM, EESM, PMSM), switching strategies, and SiC based 800V architectures with different control architectures can be emulated and validated, which can further be optimized for powertrain efficiency. Inverter efficiency maps can be derived and fast control strategy can be iterated which facilitates the the overall drivetrain optimization. This paper focus on how adopting such emulation test methodologies can help EV developers to overcome infrastructure gaps, reduce time-to-market, and enhance powertrain efficiency at a lower cost.
Mehrotra, Soumya, Chhabra, Rishabh
Predictive SoC Management for Enhanced Recuperation Efficiency in Electric Vehicles2026-26-01541/16/2026
In recent years, the automotive industry has been looking into alternatives for conventional vehicles to promote a sustainable transportation future having a lesser carbon footprint. Electric Vehicles (EV) are a promising choice as they produce zero tail pipe emissions. However, even with the demand for EVs increasing, the charging infrastructure is still a concern, which leads to range anxiety. This necessitates the judicious use of battery charge and reduce the energy wastage occurring at any point. In EVs, regenerative braking is an additional option which helps in recuperating the battery energy during vehicle deceleration. The amount of energy recuperated mainly depends on the current State of Charge (SoC) of the battery and the battery temperature. Typically, the amount of recuperable energy reduces as the current SoC moves closer to 100%. Once this limit is reached, the excess energy available for recuperation is discharged through the brake resistor/pads. This paper proposes a method to minimize the energy wastage due to the SoC constraints by predicting an optimal start SoC. The optimal SoC is calculated in such a way that it maximizes energy recovery during regeneration while taking the route attributes, weather conditions, and charger availability into account. On a hilly route, it was noticed that the recuperated energy was 5 times more while using the optimal SoC, compared to the 100% start SoC. This reduction in SoC prevents overcharging and contributes to lesser charging time. Consequently, this approach would positively impact overall battery health, energy efficiency, and contribute to promoting sustainability.
Barik, Madhusmita, S, Sethuraman, Aruljothi, Sathishkumar
Regenerative Braking Control Strategy for Electric Commercial Bus under Indian Road Condition Using Artificial Neural Network2026-26-06451/16/2026
The main focus of this paper is to create a more efficient regenerative braking control strategy for electric commercial buses operating under Indian road conditions. The strategy uses Artificial Neural Networks (ANNs) to optimize regenerative braking process. Regenerative braking helps to recover energy that would otherwise be lost during braking and convert it back into usable power for the vehicle. The challenge is to design a system that works effectively on the diverse and often challenging road conditions found in India, such as varying gradients, traffic patterns, and road surface types. This study begins by collecting data (which includes vehicle speed, traffic condition, etc.) from real-world driving conditions and aims to train an Artificial Neural Network (ANN) using a large set of driving data which is collected under various conditions to predict the most efficient regenerative braking settings for different driving scenarios. This research brings a new approach to the application of regenerative braking in electric buses by using Artificial Neural Networks. Previous works in this area mostly focused on passenger vehicles or did not take into account the unique challenges posed by Indian road conditions, such as heavy traffic and frequent elevation changes. This study addresses those challenges directly by focusing on electric buses, which are a growing segment of the public transportation sector in India.
Saurabh, Saurabh, Bhardwaj, Rohit, Patil, Nikhil, Gadve, Dhananjay, Amancharla, Naga Chaithanya
A Complex Road Surface Parameter Estimation Method Based on the Fusion Framework of Visual Classifier and Dynamics Observer10-10-02-00131/16/2026
Special vehicles such as off-road vehicles and planetary rovers frequently operate on complex, unpaved road surfaces with varying mechanical parameters. Inaccurate estimation of these parameters can cause subsidence or rollover. Existing methods either lack proactive perception or high precision. This article proposes a fusion framework integrating a visual classifier and a dynamics observer for stable, accurate estimation of road surface parameters. The visual classifier uses an adaptive segmentation system for unpaved roads, leveraging a large-scale vision model and a lightweight network to classify upcoming road surfaces. The dynamics observer employs an online wheel-–ground interaction model using stress approximation, integrating strong tracking theory into an unscented Kalman filter for real-time parameter estimation. The fusion framework performs integration of the classifier and observer outputs at data, feature, and decision levels. An adaptive fading factor and recursive Gaussian process modeling ensure precise estimation of varying parameters. Real-vehicle tests demonstrate that the proposed method reduces the average estimation error by 8.5% and improves convergence speed by 40% during road surface changes, demonstrating potential for integration into off-road vehicle stability control systems.
Zhang, Chenhao, Xia, Guang, Zhang, Yang, Zhou, Dayang, Shi, Qin
Active Thermal Management of EMB Motors Considering Winding Heat Imbalance2025-01-733112/31/2025
The electro-mechanical brake (EMB) system represents a novel dry brake-by-wire technology renowned for their superior control performance and compact structure, effectively meeting the demands of intelligent electric vehicles. However, its performance can be compromised under extreme ambient temperatures and non-uniform heat generation across the coils. This study addresses the critical challenge of single-phase overheating in the EMB motor actuator during low-speed high-torque operations by proposing a novel Maximum Duration Per Torque (MDPT) control strategy. The core of this method is to optimize the allocation of dq-axis currents. It aims to extend the safe operating duration of the EMB while respecting its thermal constraints and maintaining full braking performance. Firstly, based on the operational characteristics of the EMB, we establish a lumped parameter thermal network (LPTN) model. This model accurately captures the uneven thermal distribution among the three-phase windings and enables real-time prediction of the remaining safe operating time under various current distributions per phase. Using a sequential quadratic programming (SQP) algorithm, we efficiently compute the optimal d- and q-axis current references that maximize this duration. A triple-loop controller based on the MDPT algorithm is designed and validated through simulations and experiments. Results show that the proposed method significantly extends the safe operating time compared to conventional Maximum Torque Per Ampere (MTPA)-based strategies. This study shows that effective thermal management of electromechanical brake systems, implemented through the design of control algorithms, which ensures the durability of the system and the reliability of driver safety, is achievable.
Zeng, Jie, Xiong, Lu, Zhuo, Guirong, Duan, Yanlong, Wang, Xinjian
Emergency Motion Control of Autonomous Vehicles under Tire Blowout Conditions2025-01-733612/31/2025
As one of the most common types of traffic accidents, tire blowout has become a significant safety issue in the stability control of autonomous vehicles. This paper presents a coordinated control strategy for autonomous vehicles operating under tire blowout conditions. A simplified three-degree-of-freedom vehicle dynamics model and a preview-based kinematic model are developed to capture the complex interactions between lateral and longitudinal motions during a blowout event. Then, the proposed control framework integrates sliding mode control (SMC) with a prescribed-performance function to constrain lateral deviation and heading error within predefined boundaries. To improve emergency path tracking and ensure stability, a transformation-based error bounding method is introduced. Lyapunov-based stability analysis verifies the convergence properties of the closed-loop system. Simulation results validate the effectiveness of the proposed method under both tubeless and tubed tire blowout scenarios. Compared to conventional SMC controllers, the proposed controller reduces lateral error convergence time by up to 58% while ensuring safe stopping within 2.2 seconds after blowout. These results indicate that the controller offers robust and reliable emergency motion control capabilities for autonomous vehicles in extreme tire failure situations.
Xia, Hongyang, Yang, Ming, Li, Hongluo, Huang, Yongxian
A Unified Layer-by-Layer Progressive Framework for Sensorless Control of Brake-By-Wire Systems2025-01-732812/31/2025
Conventional control of Brake-by-Wire (BBW) systems, including electro-hydraulic brake(EHB) and electro-mechanical brake(EMB), relys on pressure sensors, the errors of which usually resulted inaccurate braking force tracking bringing a lot of safety hazards, e.g., wheel locking and slipping. To address challenges of accurate braking force control under the circumstance of the system nonliearities (such as friction) and uncertainties (such as stiffness characteristics) for a sensorless BBW system, this paper proposes a unified Layer-by-Layer Progressive (LLP) control framework to enable fast and precise brake control. The work has been conducted with three new contributions in the three cascaded stages within the control framework: in the coarse compensation stage, a load-adaptive LuGre friction model is proposed to handle modellable nonlinearities; in the fine compensation stage, an Adaptive Extended Disturbance Observer (AEDO) is developed to estimate and compensate for parameter uncertainties and external disturbances; and in the fine control stage, a cascaded nonlinear controller is designed to suppress unmodeled dynamics and residual disturbances. Through real-vehicle experiments, the proposed LLP method has been validated under both pulse and gradual braking conditions for BBW systems (include EHB and EMB systems). Under pulse braking conditions, the proposed method yields maximum response errors of 1.2bar for the EHB system and 6.3% for the EMB system. Under gradual braking conditions, the steady-state errors are 0.7bar for EHB and 1.74% for EMB. These results empirically confirm the effectiveness and robustness of the proposed method.
Zhou, Quan, Lv, Zongyu, Han, Wei, Li, Congcong, Zhao, Xinyu, Xiong, Lu, Shu, Qiang
Coordinated Control of DYC/ABS for Cornering Braking Based on Driver Intention2025-01-734012/31/2025
This paper proposes a DYC/ABS coordinated control strategy for cornering and braking based on driver intention. A hierarchical control structure is established, where the upper-level controller uses a vehicle dynamics model to calculate the additional yaw moment required by the DYC controller to track the desired yaw rate and sideslip angle, as well as the driver’s intended braking intensity. Taking multiple constraints into account, a quadratic programming algorithm is employed to optimize the distribution of braking forces among the four wheels. The lower-level ABS controller is designed with multiple thresholds and corresponding control phases to precisely regulate the hydraulic pressure of individual wheel cylinders. In emergency braking scenarios where ABS intervention may conflict with the upper-layer braking force allocation, a rule-based, stepwise diagonal pressure reduction compensation strategy is proposed. This strategy fully considers the influence of longitudinal and lateral forces of each wheel on the vehicle's yaw moment. By selectively reducing brake pressure, it generates an additional yaw moment to compensate for the negative impact of ABS on vehicle steerability, while ensuring a smooth pressure transition. The proposed strategy is validated on a Driver-in-the-Loop (DIL) simulation platform built using NI PXI, DSPACE, and external driver inputs such as the steering wheel and brake pedal. Under various driver braking intentions and cornering scenarios with high and low road adhesion, the strategy shows significant improvements in fulfilling driver braking demands and enhancing vehicle yaw stability compared to the non-optimized strategy.
Zou, Yan, Ma, Yao, Kong, Yan, Pei, Xiaofei
Wheel Speed Control for Corner Module ABS with Full Brake-By-Wire System2025-01-732212/31/2025
The electro-mechanical brake (EMB), with its continuous torque control characteristic, can enhance the performance of anti-lock braking control in intelligent chassis system. Therefore, in this study, a corner module anti-lock braking system (ABS) using EMB is proposed for intelligent chassis driven by in-wheel motors (IWMs). The corner module design can directly utilize the high-bandwidth speed signal of the IWM. This transforms traditional ABS wheel slip rate control into low-latency, high-bandwidth wheel speed tracking control under strong transient conditions. As a result, the control loop is simplified and signal transmission delay is reduced, which allows EMB to fully exploit its performance advantages. Additionally, this study proposes an Improved Higher-order Sliding Mode Control strategy with Super-Twisting Algorithm (IHSMC-STA) for wheel speed tracking control. The proposed strategy enhances the traditional first-order sliding mode exponential reaching law and integrates the Super-Twisting Algorithm to achieve high-precision and robust ABS control. Finally, experimental validation is conducted through both single-wheel ABS test bench and real vehicle testing. The results demonstrate that the proposed corner module ABS system achieves faster response and enhanced stability in anti-lock braking control under various road surface conditions, thereby confirming the effectiveness of the developed approach.
Chang, Cheng, Chu, Liang, Zhao, Di
Research on Wheel Slip Ratio Control for Electro-Mechanical Brake System: From PI to High-Order Sliding Mode Control2025-01-733212/31/2025
The electro-mechanical brake (EMB) system is a novel dry-type brake-by-wire system that features superior control performance and a compact structural design, effectively meeting the development demands of intelligent and electrified vehicles. However, current research on anti-lock braking system (ABS) primarily focuses on hydraulic brake system and mostly remains at the simulation and hardware-in-the-loop testing stages. Therefore, this paper validates the feasibility of slip ratio control based on EMB actuators through both simulation and real-vehicle experiments. First, this paper establishes an equivalent second-order response model for the closed-loop EMB control system through theoretical derivation and identifies the dynamic response characteristics of the EMB actuator via sinusoidal frequency sweep testing. Next, it compares two control strategies: one that uses the reference slip ratio as the direct control target, and another that uses reference wheel speed as the direct control target to indirectly regulate slip ratio. The latter effectively avoids the nonlinearities in slip ratio control caused by variations in vehicle speed. Based on reference wheel speed control, three types of slip ratio controllers were designed and derived: proportional-integral control (PI), integral sliding mode control (ISM), and super-twisting integral sliding mode control (STISM). Finally, simulation and real-vehicle tests on high-adhesion road surfaces verified that sliding mode slip ratio control based on reference wheel speed offers robustness, avoids the risks associated with overestimated controller gains, and improves the overall stability of the control system. In particular, the STISM, as a representative of high-order sliding mode control, effectively addresses the chattering issue present in traditional first-order sliding mode methods, offering enhanced braking safety and comfort.
Cheng, Yulin, Qiao, Le, Wang, Chenyu, Li, Congcong, Zhuo, Guirong, Wei, Wei
Limited Slip Predictive Traction Control System for Light Vehicles2025-36-000312/18/2025
Traction control is a critical technique to prevent wheel slip in vehicles, ensuring optimal traction force between the tire and the ground. This study proposes a system that leverages Model-based Predictive Control (MPC) to effectively manage and control longitudinal slip. The proposed system introduces constraints specifically designed to limit longitudinal slip, offering a significant improvement over traditional approaches. The system is evaluated with simulations of a single-corner model, using the Pacejka’s Magic Formula to define the tire force. The results demonstrate the effectiveness of the control in maintaining maximum traction and highlight its advancements compared to previous work.
Rosa, Tobias José Degli Esposte, Rodrigues, Gustavo Simão, Lopes, Elias Dias Rossi
Predictive Control Applied to Antilock Braking Systems of Heavy Vehicles on Deformable Terrain2025-36-000412/18/2025
Antilock braking systems (ABS) are critical to ensuring vehicle safety, particularly in challenging off-road environments where the braking dynamics is highly complex. This study focuses on the development of an advanced ABS controller for heavy off-road vehicles to improve operational safety and reliability. For this purpose, a Model-based Predictive Control (MPC) is proposed. The predictive capabilities of MPC, which optimize control actions based on system dynamics and constraints, are highlighted as a key aspect of this approach. The controlled system is modeled and simulated using a quarter-car model and a deformable ground model, providing a realistic representation of off-road conditions. Comparative simulations are conducted to evaluate the performance of both controllers, focusing on their effectiveness in maintaining stability and improving braking efficiency.
Sawada, Fernando Satoshi, Santos, Luís Guilherme Cavalcante, Rodrigues, Gustavo Simão, Rossi Lopes, Elias Dias
Fuzzy Logic-Based Traction Control for a 4WD In-Wheel Electric Formula Vehicle2025-36-011412/18/2025
Vehicle dynamic control is crucial for ensuring safety, efficiency and high performance. In formula-type electric vehicles equipped with in-wheel motors (4WD), traction control combined with torque vectoring enhances stability and optimizes overall performance. Precise regulation of the torque applied to each wheel minimizes energy losses caused by excessive slipping or grip loss, improving both energy efficiency and component durability. Effective traction control is particularly essential in high-performance applications, where maintaining optimal tire grip is critical for achieving maximum acceleration, braking, and cornering capabilities. This study evaluates the benefits of Fuzzy Logic-based traction control and torque distribution for each motor. The traction control system continuously monitors wheel slip, ensuring they operate within the optimal slip range. Then, torque is distributed to each motor according to its angular speed, maximizing vehicle efficiency and performance. Thus, a longitudinal dynamic model was implemented in MATLAB/Simulink, incorporating traction forces, rolling resistance, aerodynamic drag and downforce, and load transfer during acceleration and braking. Tire grip was also modeled using the Pacejka formula, with data from the Tire Test Consortium (TTC). As a result, the model allows the calculation of acceleration, velocity, position, and the vehicle’s slip ratio. To simulate vehicle dynamic behavior, a representative driving cycle was defined and associated with an auxiliary control that emulates the driver throttle and braking inputs, aiming to match the desired speed profile. This approach allows the development and calibration of the fuzzy logic traction control, optimizing the vehicle performance.
Oliveira, Vivian Fernandes, Hayashi, Daniela Tiemi, Dias, Gabriel Henrique Rodrigues, Andrade Estevos, Jaqueline, Guerreiro, Joel Filipe, Ribeiro, Rodrigo Eustaquio, Eckert, Jony Javorski
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