Browse Topic: Chassis

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S.I.S.T.E.R.: an integrated approach to non-exhaust emissions2025-24-0091To be published on 09/07/2025
As electric mobility spreads and evolves, non-exhaust Particulate Matter sources are gaining more attention for total vehicular emissions. A holistic approach for studying the involved phenomena is necessary to identify the parameters that have the greatest impact on this portion of emissions. To achieve this, it is needed to develop a new platform capable of both creating testing methodologies for future regulations and enabling the parallel development of advanced tires and brakes that meet these standards, by correlating vehicle dynamics, driving style, tire and brake characteristics, and the resulting emissions. Here the authors present the Sustainable Integrated System for Total non-Exhaust Reduction (S.I.S.T.E.R.) project, funded by the Italian Centro Nazionale per la Mobilità Sostenibile (MOST), that aims to develop an integrated approach to study tire/brake-related emissions from the initial stages of compound development to outdoor vehicle tests, allowing actions to be taken
Genovese, Andrea, De Robbio, Roberta, Lenzi, Emanuele, Caiazza, Antonio, Lippiello, Felice, Costagliola, Maria Antonietta, Marchitto, Luca, Serra, Antonio, Arimondi, Marco, Bardini, Perla
Technical Paper
An optimized particle collection system for PM10 and PM2.5 tyre wear emission factors under real-world conditions2025-24-0093To be published on 09/07/2025
The growing demand for greener transport along with progress in vehicle electrification has led to an increased focus on accurate Emission Factors (EFs) for non-exhaust sources like tyres. Tyre wear arises through mechanical and thermal processes, generating Tyre Road Wear Particles (TRWP) composed of rubber polymers, fillers, and road particles. This research aims to establish precise tyre airborne EFs for real-world conditions, emphasizing in an efficient collection system to generate accurate PM10 and PM2.5 EFs from passenger car tyres. Particle generation replicates typical driving on asphalt road for a wide selection of tyres (different manufacturers, price ranges, fuel economy rating). Factors such as tyre load, speed and vehicle acceleration are also considered to cover various driving characteristics. The collection phase focuses on separating tyre wear particles from potential contaminants, such as brake particles and other road particles, while maintaining high capture
Kontses, Dimitrios, Dimaratos, Athanasios, Kaimakamis, Thomas, Vizvizis, George, Ouzounis, Rafail, Koutsokeras, Odysseas, Samaras, Zissis
Technical Paper
DLR Tire Road Wear Particle Emission Testing Methodology – Collection System Influence and Repeatability Assessments2025-24-0092To be published on 09/07/2025
Tire road wear particle (TRWP) emissions are a significant contributor to airborne particulate matter (PM), with increasing concerns regarding their environmental and health impacts. However, the lack of standardized methodologies for TRWP measurements interferes with comparability across studies and limits emission factor assessment. This study systematically evaluates the influence of the collection system design on TRWP measurement outcomes and assesses the repeatability of a novel housing-based collection system in a controlled dyno chassis test bench environment. In the first part of the study, a three-step methodology—generation, collection, and analysis—was applied under controlled boundary conditions to compare two distinct collection systems. The housing-based system encloses the tire while also separately encapsulating the brake system, preventing brake wear particles from mixing with TRWP. In contrast, the nozzle-based system has no encapsulation for either the tire or the
Celenlioglu, Melis Seren, Epple, Fabius, Reijrink, Nina, Löber, Manuel, Reiland, Sven, Vecchi, Roberta, Philipps, Franz
Technical Paper
An eco-charging strategy for heavy-duty electric vehicles via graph optimization2025-24-0116To be published on 09/07/2025
The adoption of heavy-duty electric vehicles (HDEVs) presents significant challenges in trip planning due to high energy consumption, limited battery capacity, and the reduced availability of high-power charging stations. Unlike passenger EVs, HDEVs require careful coordination of routing and charging decisions to ensure both operational efficiency and feasibility. This work proposes a graph-based optimization framework for eco-charging strategies that jointly optimizes energy consumption, travel time, and charging costs while considering road, traffic, and infrastructure constraints. The methodology relies on constructing first a routing graph, where nodes represent waypoints, and edges represent road links with attributes such as speed limits, traffic conditions, and energy consumption. This graph is then extended into a hypergraph, where nodes incorporate information about both vehicle location and state-of-charge (SOC), while edges represent either driving or charging actions. The
Zonetti, Daniele, Sciarretta, Antonio, De Nunzio, Giovanni
Technical Paper
Safe Obstacle Avoidance Maneuver for Autonomous Vehicles2025-01-0285To be published on 07/02/2025
This paper focuses on trajectory planning for autonomous vehicles, specifically addressing the challenge of obstacle avoidance during driving. The proposed approach generates a safe and efficient maneuver in real time when a static obstacle is detected in the vehicle's path. The method consists of a path generation algorithm that computes a collision-free trajectory to avoid the obstacle while guiding the vehicle back to its initial lane. Geometric and dynamic constraints are integrated to maintain vehicle stability and ensure the feasibility of the generated trajectories. The algorithm has been validated through an IPG CarMaker professional simulator and an experimental campaign using an instrumented vehicle. Trajectory generation and path tracking are embeded in the vehicle software platform tested on a track. The experimental results demonstrate the effectiveness of the proposed planning method in generating safe avoidance maneuvers, enhancing the reliability and safety of
Vigne, Benoit, Giuliani, Pio Michele, Orjuela, Rodolfo, Basset, Michel
Technical Paper
Methodology for Fast-Running, Time-Resolved Simulation of Non-Exhaust Particle Emissions from Brake Wear Abrasion2025-01-0275To be published on 07/02/2025
Non-exhaust particle emissions, particularly those generated by brake wear, are a significant source of fine particulate matter in urban environments. These emissions contribute to air pollution and pose serious health risks, particularly in densely populated areas. While vehicle exhaust emissions have been extensively studied and regulated, the contribution of non-exhaust sources, including brake wear, remains a critical factor in air quality management. This paper presents a novel methodology for fast-running, time-resolved simulation of non-exhaust particle emissions, specifically those from brake wear abrasion. A 3D CFD model computes the turbulent flow field around the disc brake. The resulting information on the convective air cooling is applied as boundary conditions on a 3D thermal model. This thermal simulation setup is compared and verified with experimental data from literature. The 3D numerical models produce data and boundary conditions for an efficient 1D numerical
Herkenrath, Ferris, Lückerath, Moritz, Günther, Marco, Pischinger, Stefan
Technical Paper
Leveraging LLM-based AI Agents for Boosting the Vehicle Testing Process2025-01-0300To be published on 07/02/2025
The validation process in research and development involves several complex stages, including test requests, planning, execution, and the analysis and evaluation of results. In the automotive domain, compliance with regulatory standards, such as those required for Euro 7 homologation, adds an additional layer of complexity. Implementing these regulations into operational validation workflows and ensuring their seamless integration with supporting tools remains a significant challenge. Recent advancements in Large Language Models (LLMs) have introduced innovative use cases across various domains. In particular, AI agents powered by LLMs demonstrate immense potential by autonomously performing complex tasks while utilizing user-defined tools. This capability extends far beyond traditional applications like knowledge management or text generation typically associated with LLMs. In this paper, we explore how a modern AI agent can be developed and integrated into existing IT tools for test
Unterschütz, Stefan, Hansen, Björn
Technical Paper
Evaluation of Static and Dynamic Stiffness of Rubber Grommet by Experimental and FEA Method2025-01-0274To be published on 07/02/2025
Vibration control is most important in automotive applications and generally rubbers are used to dampen these vibrations due to their inherent nature and low-cost manufacturing methods. Now to select a rubber material shore hardness is considered in engineering applications, but to additionally control the behaviour we need to understand its static and dynamic stiffness. These values help to determine the vibration isolation obtained by these rubbers. In this paper, we will discuss methods to calculate the static and dynamic stiffness of rubber grommets using experimental methods and FEA modelling. As elastomers have non-linear material properties various material modelling techniques in FEA are used to capture multiple phenomena like creep, fatigue and dynamic conditions. Rubber compounding is used to improve the physical and chemical properties which in turn would give desirable linear characteristics. Certain guidelines and thumb rules are used in the rubber industry for different
Khamkar, Prasad Subhash, Gaikwad, Vikrant Chandrakant
Technical Paper
Simulation-Based Investigation and its Experimental Validation of the Thermal Behaviour of a Battery Electric City Bus2025-01-0266To be published on 07/02/2025
Electrification of city busses is an important factor for decarbonisation of the public transport sector. Due to its strictly scheduled routes and regular idle times, the public transport sector is an ideal use case for battery electric vehicles (BEV). In this context, the thermal management has a high potential to decrease the energy demand or to increase the vehicles range. The thermal management of an electric city bus controls the thermal behaviour of the components of the powertrain, such as motor and inverters, as well as the conditioning of the battery system and the heating, ventilation, and air conditioning (HVAC) of the drivers’ front box and the passenger room. The focus of the research is the modelling of the thermal behaviour of the important components of an electric city bus in MATLAB/Simscape including real-world driving cycles and the thermal management. The heating of the components, geometry and behaviour of the cooling circuits as well as the different mechanisms of
Schäfer, Henrik, Meywerk, Martin, Hellberg, Tobias
Technical Paper
The Automation Concept of the U-Shift II Vehicle2025-01-0281To be published on 07/02/2025
Autonomous driving technology enables new and innovative driverless vehicle concepts to emerge, like U-Shift. Designed from the ground up, the U-Shift II platform, called driveboard, exemplifies the advantages of separating a vehicle's driving capability from the intended transportation task. It allows different so-called capsules, such as public transport or cargo, to be transported using the same U-shaped driving platform. The driveboard can change the capsules autonomously, thus providing high flexibility for fleet operators. This novel approach introduces new challenges to the task of autonomous driving. On one hand, changing sensor and vehicle configurations, e.g., when transporting a capsule with its own sensors to compensate for occlusions of the driveboard sensors by the capsule itself, requires an adaptive approach to environmental perception. On the other hand, different environments and driving tasks, as well as the augmented motion capabilities of the driveboard, require
Buchholz, Michael, Wodtko, Thomas, Schumann, Oliver, Authaler, Dominik
Technical Paper
Partial Experimental Validation of Generalized n-Trailer Articulated Vehicle Kinematics2025-01-0272To be published on 07/02/2025
Control-oriented models for vehicle systems are necessary to develop motion planning and path tracking controllers for active safety system development. While being mathematically elegant and simple enough for control design, such models must represent real-world phenomena associated with the vehicle’s kinematic and dynamic behavior. Specifically, articulated vehicles suffer from peculiarities like rearward amplification and offtracking in their kinematic behavior that are not found in single-unit passenger vehicles. In this paper, an iterative kinematic modeling algorithm for articulated truck-trailer vehicles with an arbitrary number of vehicle units having an arbitrary number of axles on each vehicle unit is evaluated using driver input data collected from an experimental passenger vehicle on eight real-world scenarios. The experimental vehicle is considered as the tractor vehicle unit for a simulation study in which multiple trailers of various geometries are considered. The yaw
Singh, Yuvraj, Giuliani, Pio Michele, Jayakumar, Adithya, Javed, Nur Uddin, Tan, Shengzhe, Rizzoni, Giorgio
Technical Paper
Data-Driven Analysis of Vehicle Lateral Control in the Country Road Domain2025-01-0268To be published on 07/02/2025
The optimization and further development of automated driving functions offer significant potential for reducing the driver's workload and increasing road safety. Among these functions, vehicle lateral control plays a critical role, especially with regard to its acceptance by end customers. Significant development efforts are required to ensure the effectiveness and reliability of this aspect in real-world conditions. This work focuses on analyzing vehicle lateral control using extensive measurement data collected from a dedicated vehicle fleet at the Institute of Automotive Engineering at the Technical University of Braunschweig. Equipped with state-of-the-art measurement technology, the fleet has driven several hundred thousand kilometers, allowing for the collection of detailed information on vehicle trajectories under various driving conditions. These measurements have been classified into different driving environment domains - namely city, country road, and highway - with
Iatropoulos, Jannes, Panzer, Anna, Arntz, Martin, Prueggler, Adrian, Henze, Roman
Technical Paper
Study on Driver-Dependent Stabilization Capabilities for Safe Chassis Control with Steer By Wire2025-01-0276To be published on 07/02/2025
Steer-by-wire actuators represent a transformative advancement in chassis control, opening up new potential for optimizing driving behavior across the entire range of driving dynamics - including driver-dependent automatic countersteering in critical driving situations. However, from a functional safety perspective, the increased potential also introduces new risks with respect to possible system failures. To mitigate these risks, sophisticated monitoring functions are essential to ensure vehicle controllability at all times. Current research approaches for monitoring functions use safe driving envelopes. This set of safe driving states is often found by open-loop simulations, which provide a phase portrait of the nonlinear system under control and from which stability limits can be derived. However, it remains open how these open-loop stability limits correspond to the stabilization capability of a real human driver in the loop. And secondly, how these closed-loop stability limits
Birkemeyer, Janick, Naidu P.M, Tarun, Borkowski, Lukas, Müller, Steffen
Technical Paper
Automation and Optimization of the Design and Development Process for a Formula Student Racing Car Suspension2025-01-0270To be published on 07/02/2025
The design and the development of modern suspension systems is a complex process covering several different engineering domains and disciplines. Among others, this includes vehicle dynamics simulations, tyre data analysis, 1D-lap time simulations, 3D CAD design and structural analysis including collision detection. Taking into account that the overall vehicle and suspension development including all these different disciplines is performed by several engineering departments, the design automation by process digitalization is a means to minimize the manual workload for this complex engineering design and development task. The paper illustrates how the generic suspension design and development procedure can be almost fully automized with the help of so-called graph-based design languages and an associated compiler and can be applied to a concrete Formula Student racing car. It is shown how the therefore necessary digital consistency of data, digital continuity of processes and digital
Borowski, Julian, Rudolph, Stephan
Technical Paper
Kinetic Energy Recovery: Assessment on the impact of Permanent Magnet Synchronous Motor and Battery Dynamic models2025-01-0303To be published on 07/02/2025
This paper examines the influence of a detailed dynamic model of a Surface Permanent Magnet Synchronous Motor (SPMSM) on the accurate evaluation of kinetic energy recovery during braking in a mild hybrid vehicle. The model, implemented in MATLAB Simulink, is based on the motor's DQ equivalent circuit, accounting for transient effects, inductance variability, and magnetic saturation. Also, a 2nd Order Thevenin Equivalent model of the battery is used in order to take into account the bus voltage variability. Simulations reveal that the dynamic model predicts significant variations in energy recovery potential, with differences of up to 25% compared to static models under specific braking conditions. These discrepancies are particularly pronounced during high-speed high-torque transitions, where transient electrical behaviors strongly influence energy recovery. The model’s accuracy enhances the reliability of energy simulations, especially in scenarios involving frequent or intense
Lombardi, Simone, Federici, Leonardo, Tribioli, Laura, Bella, Gino
Technical Paper
Development and Evaluation of a Combined Driveline Oscillation and Traction Controller Using Model Predictive Control and Reinforcement Learning: A Comparative Case Study2025-01-0291To be published on 07/02/2025
In electric vehicles, the control of driveline oscillations and tire trac- tion is critical for guaranteeing driver comfort and safety. Yet, achiev- ing sufficient driveline control performance remains challenging in the presence of rapidly varying road conditions. Two promising avenues for further improving driveline control are adaptive model predictive control (MPC) and model-based reinforcement learning (RL). We de- rive such controllers from the same non-linear vehicle model and vali- date them through pre-defined test scenarios. The MPC approach em- ploys input and output trajectory tracking with soft constraints to en- sure feasible control actions even in the presence of constraint viola- tions and is further supported by a Kalman filter for robust state estima- tion and prediction. In contrast, the RL controller leverages the model- based DreamerV3 algorithm to learn control policies autonomously, adapting to different road conditions without relying on external infor- mation
Uhl, Ramón Tamino, Schüle, Isabel, Ludmann, Laurin, Geist, A. René
Technical Paper
Longitudinal Dynamic Metrics for Describing and Developing the Deceleration Behavior of Vehicles in the Concept Phase2025-01-0264To be published on 07/02/2025
The brake system is a critical safety component in motor vehicles. Advances in the electrification of the powertrain and the rise of autonomous driving technologies are profoundly influencing the brake system, driving innovative approaches to brake concepts and necessitating the development of new deceleration strategies. A significant technological advancement is the decoupling of the driver from the brake system through Brake-by-Wire technology. A crucial attribute is the attainment of a consistent and concept-independent deceleration behavior and pedal feel. To establish a consistent and OEM-specific deceleration behavior and pedal feel in the early development phase, objective criteria and perceptual thresholds are required, describing the desired subjective braking behavior. Moreover, objective criteria are indispensable for the virtual phase of the vehicle development process. In this article the focus is in deceleration from a straight-ahead drive. To identify objective criteria
Biller, Ralph, Udovicic, Matej, Ketzmerick, Erik, Kirch, Sebastian, Mayr, Stefan, Prokop, Günther, Wagner, Andreas
Technical Paper
Wheel Hop Detection in High-Torque Vehicles: A Machine Learning Approach with Focus on Data Coverage and Model Generalization2025-01-0271To be published on 07/02/2025
Wheel hop is a vibration phenomenon that occurs in cars with a high torque during high accelerations from low speed. Drivers perceive wheel hop as vertical oscillations in the vehicle frame. In severe cases, it can lead to component damage or deformation. Therefore, the affected vehicles must be safeguarded against these vibrations through safe component design and additional software-based functions. Conventional software-based solutions such as the traction control system (TCS) are not explicitly designed to prevent wheel hop. These systems often intervene too late and apply abrupt torque adjustments that compromise driving comfort. Based on observations on real measurements the TCS intervention in some cases leads to an amplification of the wheel hop effect. To address these challenges, we propose a novel approach based on machine learning (ML) for the early detection of wheel hop by leveraging real-time measurements from a rear-wheel drive vehicle. Unlike conventional methods, our
Chehoudi, Moatez, Moisidis, Ioannis, Sailer, Marc, Peters, Steven
Technical Paper
Road Noise Improvement Method for Battery Electric Vehicles Based on Bushing Stiffness Optimization10-09-04-003206/23/2025
The chassis bushing is one of the key components affecting the vibration isolation efficiency of a vehicle, and a comprehensive optimization method combining the experimental process and transmission path analysis (TPA) is proposed to reduce the low- and medium-frequency road noise response in the passenger compartment of a battery electric vehicle (BEV). First, the noise signals were obtained in the vehicle road noise test under two working conditions of 40 and 60 km/h at uniform speeds on rough road surfaces. Then, the excitation transmission path was analyzed based on the structural noise transmission model, and the chassis bushing parts with more considerable vibration isolation contribution were screened out. By matching the stiffness values of the chassis bushings in the optimization problem through experimental methods, the optimization scheme reduces the stiffness of the front swing arm bushing and the rear longitudinal arm bushing by 30%. Additionally, a flexible connection is
Liu, Ke, Liao, Yinghua, Wang, Hongrui, Zhou, Junchao
Journal Article
Deep Learning–Based Prediction of Suspension Dynamics Performance in Multi-Axle Vehicles15-18-03-001406/19/2025
This article is mainly to present a deep learning–based framework for predicting the dynamic performance of suspension systems for multi-axle vehicles, which emphasizes the integration of machine learning with traditional vehicle dynamics modeling. A multitask deep belief network deep neural network (MTL-DBN-DNN) was developed to capture the relationships between key vehicle parameters and suspension performance. Numerical simulation–generated data were utilized to train the model. This model also showed better prediction accuracy and computational speed compared to traditional deep neural network (DNN) models. Full sensitivity analysis has been performed in order to understand how different vehicle and suspension parameters may affect suspension dynamic performance. Furthermore, we introduce the suspension dynamic performance index (SDPI) in order to measure and quantify overall suspension performance and the effectiveness of multiple parameters. The findings highlight the
Lin, Bo-Yi, Lin, Kai-Chun
Journal Article
Developing Military Light Utility Vehicle Performance Based on Air Semi-Active Suspension System Using Recurrent Neural Network–Based Controller10-09-04-003006/19/2025
This research presents a semi-active suspension system that combines an air spring and a magneto-rheological (MR) fluid damper to produce both active force and variable damping rates based on the road conditions. The suspension system used for the military light utility vehicle (MLUV) has seven degrees of freedom. A nonlinear model predictive control system generates the desired active force for the air spring control signal, while the linear quadratic regulator (LQR) estimates the target tracking of the intended damping force. The recurrent neural network is designed to develop a controller for an identification system. To achieve the optimal voltage for the MR damper without log time, it is used to simultaneously determine the active control force of the air spring by modifying the necessary damping force tracking. The MLUV suspension system is integrated with the traction control system to improve overall vehicle stability. A fuzzy traction controller adjusts the throttle angle
Shehata Gad, A.
Journal Article
Landing Gear StabilityAIR4894A (Current)06/17/2025
This SAE Aerospace Information Report (AIR) discusses the nature of landing gear stability, describes many common landing gear stability problems, and suggests approaches and methods for solving or avoiding them.
A-5 Aerospace Landing Gear Systems Committee
Information Report
Development of the Central Coordinated Motion Control System for Pure Electric Vehicles2025-01-018806/16/2025
The article introduces the air springs, CDC, rear-wheel steering system, braking system, front-wheel steering system, and electric drive system in the vehicle’s central coordinated motion control system. It explores achieving more comfortable shock absorption by adjusting the CDC (Continuously Variable Damping system) damping and other means. By combining open-loop and closed-loop rear-wheel steering control, the turning radius in small-radius steering mode is reduced by up to 10%, enabling crab-walking, optimizing the moose test entering speed up to 90.9 kph, and improving vehicle behavior on split-friction surfaces. Through the cooperation of IBS (Intelligent Brake System) and VMC, an extremely comfortable braking process is achieved.
Zhou, Yuxing, Li, Wen
Technical Paper
Automobile Wheel Alignment and Wheel Balancing, Second EditionR-59106/12/2025
With over thirty years of hands-on experience in designing, developing, and patenting products in the wheel alignment industry, the author brings invaluable expertise to the second edition of this essential guide. Perfectly suited for mechanics, technicians, engineers, and even vehicle owners, this book goes beyond the basics to offer a comprehensive understanding of wheel alignment and its critical role in vehicle performance. The importance of proper wheel alignment and balancing cannot be overstated—incorrect alignment leads to premature tire wear and reduced safety. This updated edition provides in-depth coverage on wheel alignment techniques for light vehicles, commercial trucks, and trailers, with clear illustrations to help readers recognize and address various types of tire wear. The book explores everything from the mechanics of alignment to the impact of air pressure and tire rotation on longevity. With the growing need for vehicle maintenance, this guide empowers
R., Mananathan
Reference
Optimal Geometrical Planning of Autonomous Vehicle Trajectory2025-01-503706/10/2025
Trajectory planning is a major challenge in robotics and autonomous vehicles, ensuring both efficient and safe navigation. The primary objective of this work is to generate an optimal trajectory connecting a starting point to a destination while meeting specific requirements, such as minimizing travel distance and adhering to the vehicle’s kinematic and dynamic constraints. The developed algorithms for trajectory design, defined as a sequence of arcs and straight segments, offer a significant advantage due to their low computational complexity, making them well-suited for real-time applications in autonomous navigation. The proposed trajectory model serves as a benchmark for comparing actual vehicle paths in trajectory control studies. Simulation results demonstrate the robustness of the proposed method across various scenarios.
Soundouss, Halima, Msaaf, Mohammed, Belmajdoub, Fouad
Technical Paper
Braking Force Distribution Strategy for Brake-by-Wire Systems: Enhancing Safety and Redundancy10-09-03-002806/09/2025
Brake-by-wire (BBW) systems, characterized by fast response, high precision, ease installation, and simplified maintenance, are highly likely to become the future braking systems. However, the reliability of BBW is currently inferior to that of traditional hydraulic braking systems. Considering ECE R13 regulations, actuator reliability, and braking efficiency, this article first proposes a new braking force distribution strategy to prevent braking failure and enhance vehicle safety without modifying the actuator itself. The strategy reduces the operating frequency of rear actuators during low- and medium-intensity braking, thereby extending their service life and operational reliability. Then, the co-simulation model combining Simulink and AMESim was established for simulation validation based on direct drive braking actuator. Additionally, the real-vehicle test platform was built for typical braking scenarios. The simulation and experimental results show that this strategy
Li, Tianle, Gong, Xiaoxiang, He, Chunrong, Deng, Zhenghua, Zhang, Hong, Xu, Rong, He, Haitao, Wang, Xun, Zhang, Huaiyue
Journal Article
Analysis and Evaluation of Roll Safety Thresholds of Tractor Semi-Trailer Vehicles during Turning Maneuvers Based on the Yaw Rate of Vehicle Bodies and Roll Safety Factor02-18-04-002406/05/2025
This article aims to analyze and evaluate the roll safety thresholds (RSTs) and roll safety zones of tractor semi-trailer vehicles during turning maneuvers, using the roll safety factor (RSF) and yaw rate of the vehicle bodies. To achieve this, a full dynamics model is established using the multibody system method. This model is then used to survey and evaluate the vehicle’s motion state, using ramp steer maneuver (RSM) steering rules. In each survey case, the maximum values of RSF and yaw rate of vehicle bodies are synthesized in 3D data, with an initial velocity range of 40 km/h to 80 km/h and a magnitude of steering wheel angle range of 12.5° to 300°. These 3D data are used to determine the proposed values of RSF, which can be used as examples to set the threshold values of the yaw rate of vehicle bodies and roll safety zones. At a velocity of 60 km/h, the dynamic rollover threshold for proposed roll safety factor (RSFprop) is equal to 1, with corresponding values of 15.718°/s and
Hung, Ta Tuan
Journal Article
Multi-Objective Robust Optimization for a Parallel Link Steering System: A Six Sigma and Monte Carlo Approach2025-01-503606/03/2025
The steering system is one of the most important assemblies for the vehicle. It allows the vehicle to steer according to the driver’s intention. For an ideal steering system, the steering angle for the wheel on the left and right side should obey the Ackman equation. To achieve this goal, the optimization method is usually initiated to determine the coordinates of the hard points for the steering system. However, the location of hard points varies due to the manufacturing error of the components and wear caused by friction during their working life. To decrease the influence of geometry parameter error, and system mass, and improve the robust performance of the steering system, the optimization based on Six Sigma and Monte Carlo approach is used to optimize the steering system for an off-road vehicle. At last, the effect is proved by the comparison of other methods. The maximum error of the steering angle is decreased from 7.78° to 2.14°, while the mass of the steering system is
Peng, Dengzhi, Deng, Chao, Zhou, Bingbing, Zhang, Zhenhua
Technical Paper
Comprehensive Management of Water Ingress in the Torque Overlay Steering System for Enhanced Reliability in Smart Trucks02-18-03-001606/02/2025
The reliability and performance of steering systems in commercial vehicles are paramount, given their direct impact on reducing hazardous driving and improving operational efficiency. The torque overlay system is designed to enhance driver control, feedback, and reduce driver fatigue. However, vulnerabilities such as water ingress under certain environmental conditions have raised significant reliability requirements. This article discusses the systematic investigation into how radial bearing sideloading led to the input shaft seal failing to contact the input shaft. Water was allowed a path to enter the TOS module, affecting the electronic sensor, and faulting out the ADAS functionality. Improvement to the bearing support and sealing design culminated to an enhanced TOS module package able to withstand testing procedures that mimic the environmental and use case situation which caused the ingress.
Bari, Praful Rajendra, Kintner, Jason
Journal Article
Thermal Swell, Growth, and Hot Compressibility of Brake Friction Materials and Noise InsulatorsJ160_202505 (Current)05/27/2025
This document specifies a universal method of measuring the thickness change of friction materials to determine the effects of temperature. The test applies to both disc and drum-type linings commonly used in hydraulic and air brake systems for automotive or commercial vehicle applications. This document describes several methods for thermal swell and growth. Method A is where the friction material is in contact with a heated surface to simulate the heat input to the pad that occurs during actual usage. Method B uses an oven to heat the freestanding material and is an approximate procedure requiring less instrumentation. Method A is recommended for disc brake pad assemblies, noise insulators, or flat coupons, while Method B is recommended for curved drum brake linings. This document also describes how to test the warmed-up disc brake pads and noise insulators for hot compressibility using Method A.
Brake Linings Standards Committee
Technical Standard
Development of an Intelligent Instrumented Tire for Real-Time Hydroplaning Risk Estimation10-09-03-002705/21/2025
This study introduces an innovative intelligent tire system capable of estimating the risk of total hydroplaning based on water pressure measurements within the tread grooves. Dynamic hydroplaning represents an important safety concern influenced by water depth, tread design, and vehicle longitudinal speed. Existing intelligent tire systems primarily assess hydroplaning risk using the water wedge effect, which occurs predominantly in deep water conditions. However, in shallow water, which is far more prevalent in real-world scenarios, the water wedge effect is absent at higher longitudinal speeds, which could make existing systems unable to reliably assess the total hydroplaning risk. Groove flow represents a key factor in hydroplaning dynamics, and it is governed by two mechanisms: water interception rate and water wedge pressure. In both the shallow water and deep water cases, the groove water flow will increase as a result of increasing the longitudinal speed of the vehicle for a
Vilsan, Alexandru, Sandu, Corina, Anghelache, Gabriel, Warfford, Jeffrey
Journal Article
Letter from the Guest Editors10-09-02-000905/19/2025
Letter from the Guest Editors
Wang, Zhenfeng, Zhang, Yunqing, Qi, Ronghuai, Lu, Yukun
Journal Article
Identification of Suspension Kingpin Alignment Parameters Based on Screw Axis Theorem and Differential Calculation Model2025-01-503405/06/2025
This paper presents an analytical approach for identifying suspension kingpin alignment parameters based on screw axis theorem and differential calculation model. The suspension kingpin caster and inclination alignment parameters can produce additional tire force, which affects vehicle handling dynamics. In wheel steering process, the multi-link suspension control arms lead to movement of the imaginary kingpin, which can cause change in suspension kingpin alignment parameters. According to the structure mechanism of commercial vehicle multi-link independent suspension, the kinematics characteristics of imaginary kingpin were analyzed based on the screw axis theorem. The angular velocity and translation velocity vectors were calculated. In order to avoid the influence of bushing deformation, the unique differential identification model was established to evaluate the suspension kingpin alignment parameters, and the identification results were compared with the ADAMS/Car data. The
Ding, Jinquan, Hou, Junjian, Zhao, Dengfeng, Guo, Yaohua
Technical Paper
Cairene Car-Culture: How are Automobility and Social Behavior Linked to The Development of The Soundscape and Urban Fabric of Cairo2025-01-006905/05/2025
Cairo’s soundscape has witnessed changes due to the ongoing urban structure developments that accommodate the number of vehicles passing through the city. The soundscape produced by this growing automobility is affected not only by vehicles but also by their owners' behavior. Cairenes use their cars as a communication tool and an extension of private space. By viewing the vehicle as a component of the soundscape as well as a space that filters it, this study examines the synergy between social behavior, automobility, urban structure, and their interdependent relationship on the soundscape of Cairo. The study responds to literature elaborating on acoustic ecology, car culture, urban structure, and social behavior. The methodology applied in this study follows practice-based phenomenological research while documenting and reflecting on car cultural practices in Cairo from an aural perspective. Grounded theory contextualizes the analysis of archived audio and video material, semi
Abd El Naby, Abla Mohamed
Technical Paper
Study of Sound and Cabin Touchpoint Contributions to Subjective Perception of Secondary Ride2025-01-006005/05/2025
Subjective perception of vehicle secondary ride is dependent on simultaneous touchpoint vibrations and audible inputs to the occupants. Standards such as ISO 2361 provide guidelines for objective assessments of human body thresholds to vibration [1]. However, when a human experiences vibration inputs at multiple touchpoints, as well as aural inputs, it becomes complicated to judge each individual contribution to the overall subjective perception [2]. Additional factors, such as ambient conditions, ergonomics, age, gender etc. also play a role. Secondary ride, which is defined as energy in the 10-30 Hz frequency range, is one such event that affects the customers’ perception of ride comfort and quality. The goal of this work is to develop a sound and vibration simulator model and execute a secondary ride jury study of vehicle driving over cleats. The aim of the study is to rank the contributions of each touch point vibration input, as well as sound to the overall subjective perception
Jayakumar, Vignesh, Joodi, Benjamin, Geissler, Christian, Pilz, Fernando, Lynch, Luke, Conklin, Chris, Weilnau, Kelby, Hodgkins, Jeffrey
Technical Paper
Simulation of In-Vehicle Tire Noise Performance from Single-Tire Test Stand2025-01-006105/05/2025
A test and signal processing strategy was developed to allow a tire manufacturer to predict vehicle-level interior response based on component-level testing of a single tire. The approach leveraged time-domain Source-Path-Contribution (SPC) techniques to build an experimental model of an existing single tire tested on a dynamometer and substitute into a simulator vehicle to predict vehicle-level performance. The component-level single tire was characterized by its acoustic source strength and structural forces estimated by means of virtual point transformation and a matrix inversion approach. These source strengths and forces were then inserted into a simulator vehicle model to predict the acoustic signature, in time-domain, at the passenger’s ears. This approach was validated by comparing the vehicle-level prediction to vehicle-level measured response. The experimental model building procedure can then be adopted as a standard procedure to aid in vehicle development programs.
Nashio, Hiroshi, Kajiwara, Kohei, Rinaldi, Giovanni, Sakamoto, Yumiko
Technical Paper
A Study on Luxury Captain Seat Vibration in MPV Vehicles with Semi-Active Suspension2025-01-010705/05/2025
More and more captain-seat-like, luxury individual seats have been appeared inside MPV vehicles in order to meet various customer needs and improve market competitiveness. In the same time, customer complaints about seat vibration also increase significantly. Thus, luxury captain seat vibration is becoming MPV issues facing the vehicle development engineers. Typically, luxury captain seats are much heavier due to the added mechanisms to provide functions like massage or temperature controls, etc., and it is not feasible to structurally improve the seat modal frequencies to meet the need for NVH issue resolution. This paper presents a systematical study on the second-row luxury captain seat vibration issue between 10-25Hz with MPV vehicles. An axle contribution is analyzed with a 4-poster shaker test, and the test data show that the seat vibration is more sensitive to rear axle excitation than that of front axle, and to the out-of-phase excitation than the in-phase one. The similar
Zhou, Changshui, Yu Sr, Jing, Gu, Perry, Zhang, Fan, Bu, Kunquan, Liu, Xinhua
Technical Paper
Experimental Characterization of a Steel Spring Mount Using Virtual Point Transformation2025-01-004605/05/2025
The application of virtual point transformation for determining the transfer dynamic stiffness of a helical coil spring is demonstrated in this experimental study. Rigid fixtures are attached to both ends of the spring, and frequency response functions are measured using impact hammer excitations. These frequency response functions are transformed into virtual points, analogous to a node in finite element analysis, with six degrees of freedom. The six degrees of freedom transfer dynamic stiffness is then extracted using the inverse substructuring method, which eliminates the need to account for fixture dynamics. The results are validated by a direct measurement approach. Additionally, the study investigates the effect of liquid applied sprayed damping coatings on the spring's transfer dynamic stiffness, revealing that the coating significantly reduces vibration amplitudes at the surge frequencies. This suggest that the springs effective damping properties are enhanced.
Neihguk, David, Herrin, D. W., de Klerk, Dennis
Technical Paper
Application of AI/ML in Hydrobush Tuning to Enhance Overall Value Proposition2025-01-013205/05/2025
In the highly competitive automotive industry, optimizing vehicle components for superior performance and customer satisfaction is paramount. Hydrobushes play an integral role within vehicle suspension systems by absorbing vibrations and improving ride comfort. However, the traditional methods for tuning these components are time-consuming and heavily reliant on extensive empirical testing. This paper explores the advancing field of artificial intelligence (AI) and machine learning (ML) in the hydrobush tuning process, utilizing algorithms such as random forest, artificial neural networks, and logistic regression to efficiently analyze large datasets, uncover patterns, and predict optimal configurations. The study focuses on comparing these three AI/ML-based approaches to assess their effectiveness in improving the tuning process. A case study is presented, evaluating their performance and validating the most effective method through physical application, highlighting the potential
Hazra, Sandip, Khan, Arkadip Amitava
Technical Paper
Model Based NVH Simulator for Virtual Development2025-01-005905/05/2025
For mature virtual development, enlarging coverage of performances and driving conditions comparable with physical prototype is important. The subjective evaluation on various driving conditions to find abnormal or nonlinear phenomena as well as objective evaluation becomes indispensable even in virtual development stage. From the previous research, the road noise had been successfully predicted and replayed from the synthesis of system models. In this study, model based NVH simulator dedicated to virtual development have been implemented. At first, in addition to road noise, motor noise was predicted from experimental models such as blocked force and transfer function of motor, mount and body according to various vehicle conditions such as speed and torque. Next, to convert driver’s inputs such as acceleration and brake pedal, mode selection button and steering wheel to vehicle’s driving conditions, 1-D performance model was generated and calibrated. Finally, the audio and visual
Park, Sangyoung, Dirickx, Tom, Kang, Yeon June, Nam, Jeong Min, Gonçalves, Vinícius Valencia
Technical Paper
Investigation and Application of Tire Model to Optimize Road Noise2025-01-011105/05/2025
Tires have a significant impact on vehicle road noise. The noise in 80~160Hz is easily felt when driving on rough roads and has a great relationship with the tire structural design. How to improve the problem through tire simulation has become an important issue. Therefore, this paper puts forward the concept of virtual tire tuning to optimize the noise. An appropriate tire model is crucial for road noise performance, and the CDtire (Comfort and Durability Tire) model was used in the article. After conducting experimental validation to get an accurate tire model, adjust the parameters and structure of the tire model to generate alternative model scenarios. The transfer function of the tire center was analyzed and set as the evaluation condition for tire NVH (Noise, vibration, and harshness) performance. This enabled a comparison among various model scenarios to identify the best-performing tire scenario in focused frequency whose transfer function needed to be lowest. Manufacture the
Zhang, Ben, Yu Sr, Jing, Chen, Qimiao, Liu, Xianchen, Gu, Perry
Technical Paper
Experimental Investigation on Genetic Algorithm Optimized Proportional Integral Derivative Based Active Suspension System2025-01-001405/05/2025
In this work, Genetic Algorithm (GA) optimized Proportional Integral Derivative (PID) controller is employed in the active suspension. The PID gain values are optimally tuned based on the objective function by the Integral Time Absolute Error (ITAE) criteria of various suspension measures like vehicle body displacement, suspension and tire deflections. The proposed GAPID controller is experimentally validated through the 3-DOF quarter-car (QC) test rig model. The fabricated model with passive suspension system (PASS) and active suspension system (ACSS) with an electrical actuator is presented. The schematic representation of the fabricated test set-up with and without ACSS is also illustrated. Further, simulation and experimental response of the fabricated model with and without ACSS are compared. It is identified that the proposed GAPID controller attenuates the sprung mass acceleration by about 41.64 % and 29.13 % compared with PASS for the theoretical as well as experimental cases
A, Arivazhagan, Kandavel, Arunachalam
Technical Paper
Brake Noise CAE Enhancement with the Synergy between Design of Experiments and Machine Learning2025-01-012405/05/2025
The digitalization of industrial systems has led to increased data availability. Machine learning (ML) methodologies are now commonly used for data analysis in industrial contexts. Not all contexts have abundant data; sometimes data collection can be scarce or expensive. Design of Experiments (DOE) is a technique that provides an informative dataset for ML analysis when data are limited. It involves systematically designing experiments to collect relevant data points with regression models. Disc brake noise is a challenging problem in vehicle noise, vibration, and harshness (NVH). Different noise events occur under various operating conditions and across frequencies (1-16 kHz). To enhance computer-aided engineering (CAE) techniques for brake noise, ML is used to generate additional data. Sequential experimentation in DOE aligns well with ML’s ability to continuously learn and improve as more data become available. DOE is applied in CAE to collect data for training ML models. ML helps
Song, Gavin, Sridhar, Gurupriya, Vlademar, Michael, Venugopal, Narayana
Technical Paper
Electric Bus NVH Challenges and Refinement Using Innovative Approach2025-01-008005/05/2025
The trend towards electrification propulsion in the automotive industry is highly in demand due to zero-emission and becoming more significant across the world. Battery electric vehicles have lower overall noise as compared to conventional I.C Engine counterparts due to the absence of engine combustion and mechanical noise. However, other narrowband and tonal noises are becoming dominant and are strongly perceived inside the cabin. With the ongoing push towards electrification, there is likely to be increased focus on the noise impact of gearing required for the transmission of power from the electric motor to the road. Direct coupling of E-motors with Axle has resulted in severe tonal noises from the driveline due to instant e-motor torque ramp up from 0 rpm and reverse torque on driving axle during regenerative braking. The tonal noises from the rear axle during vehicle running become very critical for customer perception. For automotive NVH engineers, it has become a challenge to
Doshi, Sohin, Kalsule, Dhanaji, Sawangikar, Pradeep, Suresh, Vineeth, Sharma, Manish
Technical Paper
Road Noise Analysis using Component TPA and FBS with Vehicle Component Modifications2025-01-005505/05/2025
Road noise caused by road excitation is a critical factor for vehicle NVH (Noise, Vibration, and Harshness) performance. However, assessing the individual contribution of components, particularly bushings, to NVH performance is generally challenging, as automobiles are composed of numerous interconnected parts. This study describes the application of Component Transfer Path Analysis (CTPA) on a full vehicle to provide insights into improving NVH performance. With the aid of Virtual Point Transformation (VPT), blocked forces are determined at the wheel hubs; afterward, a TPA is carried out. As blocked forces at the wheel hub are independent of the vehicle dynamics, these forces can be used in simulations of modified vehicle components. These results allow for the estimation of vehicle road noise. To simulate changes in vehicle components, including wheel/tire and rubber bushings, Frequency-Based Substructuring (FBS) is used to modify the vehicle setup in a simulation model. In this
Kim, Jungu, Reichart, Ron, de Klerk, Dennis, Schütler, Willem, Malic, Mario, Kim, Hyeongjun, Kim, Uije
Technical Paper
The Applications of Acoustic Black Holes to Attenuation of Coach/Bus Frame Structure Vibrations2025-01-006505/05/2025
Basic structures of vehicle frames、aircraft fuselages and ship hulls are made of beams、columns and trusses. If Acoustic Black Holes(ABH) are carefully arranged alongside with the wave propagation paths in those structures, the wave propagation paths could be changed at NVH engineers’ will and the structure vibrations can be reduced. Two kinds of ABHs are used in this paper: one is ABH made of Polyurethane(PU), other one is ABH composed of several steel plate 1D ABH stacked up in parallel. Three structures are used to test the effectiveness of ABHs for vibration reductions: a squared hollow sectional steel commonly used in motorcoach/bus chassis and frame structures, a simple frame for motorcoach airbag suspension and a 12m chassis structure. The attached ABHs show a great vibration attenuation in terms of transfer functions on the basic structure element for a motorcoach. The lateral, vertical and longitudinal transfer functions for steel ABHs were greatly reduced from 13.2~14.7 dB
Xu, Chuanyan, Wang, Jianjun, Xing, Qisen, Chen, Hengbin, Huang, Xianli
Technical Paper
Leveraging Vision Language Models and Prompt Engineering for Bearing Defect Classification from Vibration Signals2025-01-012705/05/2025
Bearings are fundamental components in automotive systems, ensuring smooth operation, efficiency, and longevity. They are widely used in various automotive systems such as wheel hubs, transmissions, engines, steering systems etc. Early detection of bearing defects during End-of-Line (EOL) testing and operational phases is crucial for preventive maintenance, thereby preventing system malfunctions. In the era of Industry 4.0, vibrational, accelerometer, and other IoT sensors are actively engaged in capturing performance data and identifying defects. These sensors generate vast amounts of data, enabling the development of advanced data-driven applications and leveraging deep learning models. While deep learning approaches have shown promising results in bearing fault diagnosis, they often require extensive data, complex model architectures, and specialized hardware. This study proposes a novel method leveraging the capabilities of Vision Language Models (VLMs) and Large Language Models
Chandrasekaran, Balaji, Cury, Rudoniel
Technical Paper
Application of Blocked Force Methodology to an Electrified Beam Axle from a Medium-Duty Truck in Vehicle and in a Dynamometer Test Cell2025-01-005405/05/2025
The recent addition of fully electric powertrains to propulsion system options has increased the relevance of sound and vibration from electric motors and gearboxes. Electrified beam axles require different metrics from conventional beam axles for noise and vibration because they have multiple sources of vibration energy, including an electric motor and a reduction gearbox. Improved metrics are also driven by the stiff suspension connections and lack of significant isolation compared to electric drive units. Blocked force is a good candidate because it can completely characterize the vibration energy transmitted into a receiver and is especially useful because it is theoretically independent of the vehicle-side structure. While the blocked force methodology is not new, its application to beam axles is relatively unexplored in the literature. This paper demonstrates a case study of blocked force measurement of an electrified beam axle with a leaf spring suspension. The axle was tested
Shaw, Matthew D, Grimmer, Michael J
Technical Paper
The Accelerated Roughness Noise Optimization of One PHEV Vehicle2025-01-008705/05/2025
To optimize the noise that heard like ‘kalakala’ produced by the plug hybrid electric vehicle when accelerating with a small accelerated pedal opening while in the charging state of series modal. The LMS test device was used to acquire the noise of the driver's outer ear. Through filtering and playback analysis, it was confirmed that the noise is mainly contains the frequency bands of 250-400Hz and450-700Hz. The frequency bands of the noise were used as carriers for Hilbert transform, and their envelopes were obtained for Fourier transform analysis. It was found that the modulation order of the noise is 0.5 times of the engine ignition order, and the modulation frequency is 20-30Hz, which let the customer hears like roughness. Regarding the spectral characteristics of this noise, firstly, at the excitation source, selected a reasonable moment of inertia and frequency of the Crank torsional damper, to decrease the torsional excitation of the engine. Secondly, investigated the structural
Shouhui, Huang, Zhongxun, Hu, Zhao, Yun, Shanyin, Ren, Ruifeng, Dong, Teng, Charlie, Changshui, Zhou, Xu, Ling
Technical Paper
Effects on Motorcycle Response Data Using Wheel Force Transducers2025-01-009405/05/2025
Wheel Force Transducers (WFT) are precise and accurate measurement devices that seamlessly integrate into any vehicle. They can be applied in numerous vehicle applications for both on-road and in laboratory settings. The instrumentation requires replacing an original equipment manufacturer (OEM) wheel with a custom WFT system which is specific to the wheel hub design. An ideal design will minimally impact a vehicle's dynamics, but the vehicle system is inherently modified from the mass of the measurement device. Research and technical documentation have been published which provide conclusions explaining reduction in the unsprung mass reduces dynamic wheel load. However, there doesn’t appear to be clear compensation techniques for how a modified unsprung mass can be related to the original system, thus allowing the WFT signals to be more accurate to the OEM wheel forces. An experimental study was performed on a prototype motorcycle to better understand these differences. An
Frisco, Jacob, Larsen, William, Rhudy, Scott, Oosting, Nicholas, Laurent, Matthew
Technical Paper
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