Browse Topic: Vehicle ride

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Balancing Ride Comfort: Optimizing Semi-Active Suspension Systems Through Multi-Objective Parameter Tuning2026-26-0594To be published on 01/16/2026
Optimizing semi-active suspension systems for ride comfort presents significant challenges due to the inherently conflicting requirements of different ride conditions. Enhancing primary ride associated with low-frequency body motions—may compromise the system’s ability to handle secondary ride, which involves mid-frequency road irregularities. Conversely, tuning for impact loadcases like potholes or road discontinuities often introduces trade-offs that can worsen comfort or suspension performance under regular driving conditions. These conflicts necessitate a systematic approach to identify balanced suspension behavior across diverse frequency bands. This study focuses on the parameter tuning of a smart damper within a semi-active suspension system to optimize overall ride performance. The investigation is carried out using a high-fidelity vehicle model in ADAMS Car, while mode-FRONTIER is employed to perform multi-objective optimization. This approach targets specific tunable blocks
Mishra, Satyakam, Verma, Rahul Ranjan, PRASAD, TEJ PRATAP
Adaptive Control Algorithms for Active Mounts on Diesel Powertrains in Passenger Cars2026-26-0324To be published on 01/16/2026
Diesel powertrains are inherently characterized by high vibration levels and low-frequency excitations, which are extremely demanding for passenger comfort and vehicle refinement. Conventional passive engine mounts often fall short in mitigating such vibrations effectively across a wide range of operating conditions. Passive mounts are inadequate for effectively isolating vibrations in powerful, lightweight vehicles or those without a balancer shaft 3-cylinder engine ordiesel engines. Consequently, this has prompted the consideration of active engine mounts as an alternative solution for solving NVH (Noise, Vibration, Harshness)-related issues. This paper explores the application of adaptive control algorithms in active engine mount systems for diesel powertrains in passenger vehicles. Through the integration of real-time feedback loops with smart control strategies the system adaptively controls mount stiffness and damping to minimize engine-induced vibrations. The study presents
Hazra, Sandip, Khan, Arkadip Amitava, more, Vishwas
Comprehensive Evaluation of Bolster Behavior: Field Data Insights for Design Modifications2026-26-0497To be published on 01/16/2026
Bogie suspension systems are increasingly being used in tipper vehicles to enhance their performance and durability, especially in demanding environments like construction and mining areas. Bolsters play a very crucial role in the bogie suspension systems of tipper vehicles, contributing significantly to their overall performance and durability. Bolsters help in evenly distributing the load across the suspension system, reducing stress on individual components and enhancing the vehicle’s stability. They act as shock absorbers, mitigating the impact of rough terrains and heavy loads, which is essential for maintaining the structural integrity of the vehicle. By dampening vibrations, bolsters improve ride comfort and reduce wear and tear on the vehicle’s components, leading to longer service life. Bolsters assist in maintaining proper alignment of the suspension system, ensuring optimal performance and safety. This study focuses on the comprehensive testing and evaluation of bolsters to
V Dhage, Yogesh, Kolage, Vikas
Effect of the Flow Forming Process on the Mechanical properties and Microstructure of GDC & LPDC cast aluminum alloy wheels.2026-26-0298To be published on 01/16/2026
Aluminum alloy wheels have become the preferred choice over steel wheels due to their lightweight nature, enhanced aesthetics, and contribution to improved fuel efficiency. Traditionally, these wheels are manufactured using methods such as Gravity Die Casting (GDC) [1] or Low Pressure Die Casting (LPDC) [2]. As vehicle dynamics engineers continue to increase tire sizes to optimize handling performance, the corresponding increase in wheel rim size and weight poses a challenge for maintaining low unsprung mass, which is critical for ride quality. To address this, weight reduction has become a priority. Flow forming [3,4], an advanced wheel production technique, offers a solution for reducing rim weight. This process employs high-pressure rollers to shape a metal disc into a wheel, specifically deforming the rim section while leaving the spoke and hub regions unaffected. By decreasing rim thickness, flow forming not only reduces overall wheel weight but also enhances strength and
Singh, Ram Krishnan, Medaboyina, HarshaVardhan, G K, Balaji, Gopalan, Vijaysankar, SUNDARAM, RAGHUPATHI, Paua, Ketan
Modelling and Simulation of Key Vehicle Dynamics Parameters for a Conceptual Race Car2026-26-0085To be published on 01/16/2026
Abstract Vehicle dynamics is a vital area of automotive engineering that focuses on analysing how a vehicle responds to driver inputs and external factors like road conditions and environmental influences. Achieving optimal performance, safety, and ride comfort requires a detailed understanding of longitudinal, lateral, and vertical dynamic behaviour. The objective of this paper is to develop and validate the model of a concept Race car and evaluate its vehicle dynamics behaviour using IPG CarMaker, a high-fidelity virtual testing environment widely used in industry. The model incorporates a range of vehicle parameters, including suspension parameters like spring and damper characteristics, mass distribution, tire properties and powertrain parameters. The evaluation is done using standard ISO test manoeuvres, including Constant Radius turn test (ISO 4138), Sine Steer test (ISO 8725) and other standard tests like Acceleration, Braking along with Ride and Comfort classification (as per
Agrewale, Mohammad Rafiq B., Vaish, Ujjwal
Experimental Evaluation of Tyre Vertical Dynamic Stiffness and Damping for Ride Model Applications Using Flat Trac2026-26-0607To be published on 01/16/2026
The damping and vertical dynamic stiffness of a tyre are critical to ride comfort and overall dynamics, particularly for low-frequency excitations in urban and highway driving. Accurate ride models depend on precise tyre parameterization, as tyres are the primary interface between the vehicle and the road, absorbing surface irregularities before the suspension engages. This study investigates an experimental methodology characterizing the vertical dynamic behaviour of pneumatic tyres using a Flat Trac test machine. Contrary to the conventional approaches that depend on intricate shaker rigs or frequency dependence function models, the proposed technique uses a realistic force displacement loop-based technology which is appropriate for ride model applications. Dynamic stiffness is calculated as the peak force divided by peak displacement during vertical sinusoidal excitation. Damping is derived from hysteresis energy loss per cycle. The tests were conducted under various conditions by
Duryodhana, Dasari, Sethumadhavan, Arjun, Tomer, Avinash, Ghosh, Prasenjit, Mukhopadhyay, Rabindra
Refinement of Road Induced Steering Wheel Vibration in Electric Vehicle2026-26-0337To be published on 01/16/2026
Nowadays, customers expect excellent cabin insulation and superior ride comfort in electric vehicle. OEMs focuses on fine tuning the suspension system in electric vehicle to isolate the road shocks which finally offers superior ride quality. This paper focuses on the enhancing the ride comfort by reducing the steering wheel vibration which mainly originates due to road inputs. Higher steering wheel vibrations are perceived on the test vehicle when driven on rough road at the speed of 50 kmph. To determine the predominant force transfer path, Multi reference Transfer Path Analysis (MTPA) is performed on the front and rear suspension. Based on the finding from MTPA, various recommendations are explored and the effect of each modification is discussed. Apart from this, Operational Deflection Shape (ODS) analysis is carried out on the entire steering system to identify the deflection shape at the operating condition. Based on ODS findings, recommendations like dynamic stiffness
S, Nataraja Moorthy
Achieving ride comfort in bus suspension by varying air spring performance2026-26-0081To be published on 01/16/2026
Air springs are widely used in commercial buses to obtain better quality of ride and comfort. Selecting the right air spring is a critical aspect of suspension design. However, this selection process is often constrained by the limited availability of off-the-shelf components as the development of a custom air spring involves long lead time and high tooling cost. This can be justifiable only at high production volumes. Air springs are tunable as compared to conventional mechanical metal springs. Their performance can be adjusted by varying the internal air pressure and volume, enabling them to accommodate a wide range of vehicle load conditions. In actual design practice, component packaging constraints and fixed mounting dimensions often restrict the choice of air spring. Additionally, Front and rear suspension requires air springs with different characteristics. To overcome these limitations, an auxiliary air tank is also called a ping tank that can be used along with an existing
Patre, Kamlesh, Salunkhe, Swapnil, Paranjape, Shekhar
Development of a High-Fidelity Vehicle Dynamics Model with Rear-Wheel Active Roll Control for Improved Stability2026-26-0093To be published on 01/16/2026
This work introduces a unified vehicle dynamics framework that combines detailed modeling and active control to enhance ride comfort and handling stability. A full 12-degree-of-freedom vehicle model is developed to simulate dynamic responses across a range of driving conditions. Unlike conventional approaches, this model incorporates both linear and nonlinear tire behavior, enabling more accurate prediction of vehicle motion. To further improve performance, an active roll control mechanism is proposed, utilizing rear-wheel suspension actuators to counteract undesired body roll and yaw instabilities. A novel co-simulation environment is established by coupling MATLAB/Simulink-based control strategies with high-fidelity multibody dynamics from ADAMS Car. The model is calibrated and validated using experimental data from an instrumented test vehicle. Results show that the integrated control system significantly reduces critical parameters such as roll angle, yaw rate deviation, and
Duraikannu, Dinesh, DUMPALA, GANGI REDDY
Smart Multilink Cabin Suspension with Detachable Stabilizer Mechanism for Improved Ride Comfort and Maintenance Efficiency in Vehicle Cabins.2026-26-0088To be published on 01/16/2026
This paper presents the design and development of a novel suspension system for vehicle cabins, specifically aimed at improving ride comfort and reducing maintenance time and costs. The system features a detachable stabilizer bar pivotally coupled to a pair of brackets connected to the vehicle chassis. The stabilizer bar is removably connected to a pair of connecting links, which in turn are oupled to a second pair of brackets attached to the cabin. This configuration allows for easy access to the engine bay during maintenance without disassembling the entire suspension system. Additionally, the system includes damper units and pivot arms that enhance ride comfort by isolating vibrations from the chassis. The proposed design is particularly beneficial for commercial vehicles with fixed cabins, as it reduces idle time during engine overhaul and improves overall ride quality for occupants.
K, Akilan, Pardeshi, Mahesh, Mistri, Pratikkumar, Navsariwala, Prashant
Predictive Simulation Framework for Tyre Curb Impact Durability Assessment and Design Optimization2026-26-0396To be published on 01/16/2026
Tyre structural durability validation is a critical aspect of automotive design, considering the worsening road conditions. One of the key validation tests for assessing structural integrity is the curb impact test, which evaluates the tyre's ability to withstand sudden and concentrated impacts. Typically, this process involves physical testing of preliminary tyre samples, followed by iterative modifications to the tyre's construction to meet durability requirements. However, this approach often compromises ride performance, necessitating a more efficient and predictive methodology. To address this challenge, a frugal simulation-based prediction methodology has been developed to evaluate tyre curb impact durability before vehicle-level testing. This allows for the optimization of tyre design parameters early in the development process, ensuring structural performance while minimizing ride and handling (R&H) tuning iterations. By reducing the number of iterations, the methodology
Sundaramoorthy, Ragasruoban, LENKA., VISWESWARA
Development of a GUI-Based Pitch Sequence Optimization Tool for Tyre Noise Reduction2026-26-0330To be published on 01/16/2026
Minimizing tyre noise is essential for enhancing ride comfort, especially in electric vehicles where the absence of engine noise makes tyre-generated sound more prominent. This work presents the development of a GUI-based pitch sequence optimization tool to support tyre design engineers in generating acoustically optimized tread sequences. The tool operates in two modes: without constraints, where the pitch sequence is optimized freely to reduce tonal noise levels; and with constraints, where specific design rules are applied to preserve pattern consistency and manufacturability. This tool plays a pivotal role in the tire development process, serving as one of the key evaluation criteria for tread pattern approval before mould fabrication. By enabling engineers to generate balanced, low-noise pitch sequences that align with both acoustic targets and engineering constraints, the tool facilitates faster design iterations and smooth integration with downstream processes. Its successful
Sampathraghavan, Lakshmi, Ramarathnam, Krishna Kumar, Mantripragada PhD, Krishna Teja, Ramachandran, Neeraj
Data-Driven Prediction of Damper durability Cycles Using AIML Techniques2026-26-0550To be published on 01/16/2026
The suspension dampers play a pivotal role in controlling suspension dynamics, especially during rapid suspension movements such as pothole impacts, speed bumps, and off-road conditions. The dampers directly influence the ride comfort, vehicle stability. Ensuring the durability of these valves is essential to maintain consistent performance throughout the vehicle's lifecycle. To validate the valve configuration at high speed, in current development practices, durability cycles are typically derived through physical data collection on actual vehicle driven on proven ground tracks. While this method provides accurate real world validation, it is highly time consuming and resource intensive. The dependency on full vehicle testing also limits early phase of validation, creating bottlenecks in the product development cycle. An AIML based methodology is presented in this paper to predict the HSVD cycles for damper validation. The AIML algorithm was trained using the historical test data and
Kabbin, Chetan D., Suryawanshi, Vishal, Daphal, Pratap, Kulkarni, Prasad
Electromagnetically levitated engine mount2026-26-0342To be published on 01/16/2026
Nowadays, the highly competitive automotive business industry requires manufacturers to pay more attention to passenger comfort and riding quality. Apart from suspension, engine mounts plays major role in vehicle NVH. Engine mounts is used to support weight of powertrain & to isolate unbalanced engine disturbance forces from vehicle body. Engine mounts are designed in such a way that no metal to metal contact is remained in between powertrain & rest of the vehicle. This idea presents the solution to completely isolate the powertrain from body so that no engine vibrations can be transferred, which will eventually increase the life of Engine mount
Hazra, Sandip, Naik, Sarang Pramod, more, Vishwas
New generation Natural Rubber-Based Bump Stopper with Improved NVH Characteristics2026-26-0292To be published on 01/16/2026
In automotive suspension systems, components like bump stoppers and jounce bumpers play critical roles in controlling suspension travel and enhancing ride comfort. Material selection for these components is driven by functional demands and performance criteria. Traditionally, Natural rubber (NR) has traditionally been favoured for bump stopper applications due to its excellent vibration absorption, tear resistance, cost-effectiveness, and biodegradability. However, in more demanding environments, it has been largely replaced by microcellular polyurethane (PU) elastomers, which offer superior durability, environmental resistance, and enhanced noise, vibration, and harshness (NVH) performance. PU's high compressibility, low lateral expansion, and low compression set make it the material of choice across automotive, aerospace, and industrial sectors. Other materials like thermoplastic elastomers (TPE/TPU) and EPDM rubber are also used, offering advantages such as recyclability, ease of
Murugesan, Annarajan, Perumal, Mathavan
Hydro-Pneumatic Suspension Optimization for Mining Explosion-Proof Vehicles in Underground Coal Mines2025-99-0106To be published on 11/11/2025
This study investigates the critical factors influencing the performance of hydro-pneumatic suspension systems (HPSS) in mining explosion-proof engineering vehicles operating in complex underground coal mine environments. To address challenges such as poor ride comfort and insufficient load-bearing capacity under harsh mining conditions, a two-stage pressure HPSS was analyzed through integrated numerical modeling and field validation. A mathematical model was established based on the structural principles of the suspension system, focusing on key parameters including cylinder bore (195–255 mm), piston area (170–210 mm), damping orifice diameter (7–8 mm), check valve flow area, and accumulator configurations (low-pressure: 1.2 MPa, high-pressure: 6 MPa). Experimental trials were conducted in active coal mines, simulating typical mining scenarios such as uneven road surfaces (120 mm obstacles), heavy-load gangue transportation, and confined-space operations in thin coal seams (<1.5 m
Song, Yan, Liang, Yufang
Design Strategies for “Front Stabilizer Link Assembly” for Maximized Wheel Articulation in All Terrain for Passenger Car Application2025-28-030911/06/2025
The stabilizer link, also commonly referred to as the sway bar link or anti-roll bar link, plays a crucial role in the suspension system. It connects the sway bar to suspension components such as the knuckle, control arm, or strut. The primary function of the stabilizer link is to reduce body roll during cornering or when driving over uneven terrain. It helps stabilize the wheels during extreme articulation events and ensures smoother operation in terms of ride comfort and handling. Additionally, it is designed to assist in distributing forces across the suspension system, particularly in off-road or rugged terrain applications. This case study presents the failure of a stabilizer link assembly during extreme articulation events. The front stabilizer link failed during vehicle-level durability and functional testing across multiple terrains. Based on the root cause analysis, design strategies were developed to prevent such failures and to ensure reliable operation during demanding off
S, Praveen Kumar, Chilakala, Raghavendra, Senthil Raja, T, Jadhav, Prashant, Kundan, Lal, J, Akhil, Pawar, Sandip
Development of Anti-SideSlip Control for Motorcycles Using IMU2025-32-003711/03/2025
In motorcycle racing and other competitions, there is a technique to intentionally slide the rear wheel to make turns more quickly. While this technique is effective for high-speed riding, it is difficult to execute and carries risks such as falling. Therefore, an anti-sideslip control system that suppresses unintended or excessive sideslip is needed to ensure safe, natural, and smooth turning. In anti-sideslip control, the slip angle is usually used as a control parameter. However, for motorcycles, it is necessary to know the absolute direction of the vehicle's movement. To determine this, GPS or optical sensors are required, but using such sensors for driving is costly and may not provide accurate measurements due to contamination or other environmental factors, making it impractical. Therefore, an anti-sideslip control system was developed by calculating another parameter that indicates the characteristics of the slip angle, without measuring the slip angle itself, thus eliminating
Nakano, Kyosuke, Kawai, Kazunori, Takeuchi, Michinori
Development of Electronic Control in Strong Hybrid Motorcycle2025-32-009111/03/2025
In response to the growing demand for environmental performance, the mobility industry is actively developing electrification, and in particular, the use of Battery Electric Vehicles (BEV) in commuting motorcycles is advancing. However, in the case of vehicles for leisure, which require high riding performance, there are problems such as cruising range and charging time, and there are currently few mass-produced models. Therefore, we proposed a Hybrid Electric Vehicle (HEV) type Motorcycle (MC) to achieve both environmental performance and high riding performance by means other than BEV. The proposed vehicle is equipped with a strong type hybrid system in which an engine and a drive motor are connected in parallel via a hydraulic electronically controlled clutch. It is possible to drive only by motor (EV driving) or by hybrid driving powered by both the engine and the motor (HEV driving). In order to improve environmental performance, it is necessary to develop a function for switching
Obayashi, Kosuke, Terai, Shohei, Jino, Kenichi, Kawai, Daisuke
Investigation of Driving Characteristics for Road Alignments with High Traffic Accident Rates on Hilly and Mountainous Roads Using a Motorcycle Simulator2025-32-003511/03/2025
Single motorcycle accidents are common in Nagano Prefecture where is mountainous areas in Japan. In a previous study, analysis of traffic accident statistics data suggested that the fatality and serious injury rates for uphill right curves and downhill left curves are high, however the true causes of these accidents remain unclear. In this study, a motorcycle simulator was used to evaluate the driving characteristics due to these road alignments. Evaluation courses based on combinations of uphill/downhill slopes and left/right curves were created, and experiments were conducted. The subjects of the study were expert riders and novice riders. The results showed that right curves are even more difficult to see near the entrance of the curve when accompanied by an uphill slope, making it easier to delay recognition and judgment of the curve. Expert riders recognized curves faster than novice riders. Additionally, expert riders take a large lean of the vehicle body, actively attempted to
Kuniyuki, Hiroshi, Katayama, Yuta, Kitagawa, Taisei, Numao, Yusuke
Electromagnetic, Thermal, and Dynamic Performance Analysis of Permanent Magnet Linear Synchronous Motor and MR Damper Integrated Active Suspension2025-01-040910/07/2025
Active suspension systems are crucial for enhancing ride quality and passenger comfort in vehicles because they can dynamically adjust their stiffness and damping characteristics. Significant studies have recently been conducted on corporations’ and academic institutions’ structural design of active suspension systems. Currently, hydraulic and electromagnetic systems make up the majority of active suspension types. Notably, hydraulic active suspensions exhibit a comparatively slower response time, whereas electromagnetic actuator-based active suspensions typically lack the capability to actively modify the damping force’s characteristics. Therefore, we proposed an active suspension system that consists of a permanent magnet linear synchronous motor (PMLSM) and a Magnetorheological (MR) fluid damper. In our system, linear motors could provide fast and accurate force response, and the MR fluid damper provides fast and widely adjustable damping force, improving the vehicle’s ride comfort
Chowdhury, Nayan Kumar, Zhang, Jiajun, Yintao, Wei
ZM Trucks plants its flag in North America, pushes ahead with electric ZM8 Class 4/5 truck25TOFHP10_0910/01/2025
To say 2025 has been a bumpy ride for North American electric vehicle OEMs would be an understatement not heard since Jack Swigert informed Houston that Apollo 13 was experiencing a problem. However, despite a tariff tug of war, EPA upheaval and continually changing tax incentives, OEMs are pushing ahead with plans to electrify the commercial truck segment. In late August, ZM Trucks celebrated the grand opening of its U.S. headquarters and assembly facility in Fontana, California. Truck & Off-Highway Engineering was in attendance for the opening ceremony, which included the U.S. debut of the ZM8 Class 4/5 truck.
Wolfe, Matt
Better Data for Bodies in MotionTBMG-5358008/07/2025
The return to Earth is a rough ride for astronauts, from the violent turbulence of atmospheric entry to a jarring landing. Hitting the ground in a Soyuz capsule is the equivalent of driving a car backward into a brick wall at 20 mph, and it’s resulting in more head and neck injuries than NASA computer models predicted. To collect more data, NASA’s Johnson Space Center in Houston commissioned a Small Business Innovation Research (SBIR) project to develop a wearable data recorder for astronaut spacesuits. One result, created by Diversified Technical Systems Inc. (DTS), is a miniature commercial device that now collects and transmits data for any application from airplane test flights to tracking high-value shipments.
Deep Reinforcement Learning–Based Control Strategy for Electro-Hydrostatic Active Suspension15-18-03-001607/09/2025
A DRL (deep reinforcement learning) algorithm, DDPG (deep deterministic policy gradient), is proposed to address the problems of slow response speed and nonlinear feature of electro-hydrostatic actuator (EHA), a new type of actuation method for active suspension. The model-free RL (reinforcement learning) and the flexibility of optimizing general reward functions are combined with the ability of neural networks to deal with complex temporal problems through the introduction of a new framework called “actor-critic”. A EHA active suspension model is developed and incorporated into a 7-degrees-of-freedom dynamics model of the vehicle, with a reward function consisting of the vehicle dynamics parameters and the EHA pump–valve control signals. The simulation results show that the strategy proposed in this article can be highly adapted to the nonlinear hydraulic system. Compared with iLQR (iterative linear quadratic regulator), DDPG controller exhibits better control performance, achieves
Wang, Jiawei, Guo, Huiru, Deng, Xiaohe
Theory behind a Novel Method for the Quantification of Subjective Ride Comfort Phenomena2025-01-026707/02/2025
In the automotive development process objective criteria are commonly used to evaluate the full vehicle ride comfort of vehicles. Based on these characteristics, vehicle concepts can be evaluated and compared at an early stage without using physical prototypes. Usually, these characteristics are determined in subjective studies using real vehicles. However, limitations in the implementation of vehicle variants, the controllability of external influences and longer intervals between the individual assessments have a negative impact on the quality of results using these approaches. Therefore, this paper presents an improved method to transfer the subjective perception and evaluation of ride comfort phenomena to objective characteristics. The corresponding procedure is shown on the basis of a one-dimensional, periodic phenomenon that is transferred to a frequency-dependent weighting function. In this process, a 6-degree of freedom driving simulator is used to overcome the limitations
Stroesser, Simon, Angrick, Christian, Zwosta, Tobias, Neubeck, Jens, Wagner, Andreas
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, Ahmed
No fear of loading: Driving the 2025 Ram Heavy Duty25TOFHP06_1206/01/2025
The desert landscapes of the western United States have changed since Mr. Duke and Dr. Gonzo blazed a trail across them in a drug-infused haze. But their advice to buy the ticket and take the ride is still a wise mantra - especially in the serene comfort of a modern full-size pickup. As inhospitable as southern Nevada can be outside Sin City, the amenities within the climate-controlled and leather-lined cabin of the latest Ram pickups insulate you from those realities. SAE Media was invited to sample the latest heavy haulers in Ram's portfolio, including the new 2500 and 3500 models with the high-output version of the Cummins B6.7 diesel.
Wolfe, Matt
SAE TOMORROW TODAY - Riding the EV Wave With Smarter Batteries1351705/30/2025
As OEMs race to deliver new vehicle lineups with greater speed and efficiency, the industry finds itself navigating a complex crossroads between full EVs and hybrid models. That's where ENNOVI steps in. With a focus on smarter battery management and cutting-edge electrical architecture, ENNOVI is staying agile--offering the right product mix to help OEMs and suppliers ride the wave of electrification, battery technology improvements, and market shifts without missing a beat. Listen in as we sit down with Ron Puhl, Global Director of Engineering and Product Portfolio, to discuss how ENNOVI's Current Collector System (CCS) is helping to improve the overall package size of batteries while reducing costs. It's a unique discussion with deep insight into consumer EV demand and industry trends. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we
Hineman, Marcie
Simulation and Experimental: Enhanced Stability Control of Electric Vehicle Based on Phase Plane Boundary Analysis10-09-02-001705/05/2025
To optimize vehicle chassis handling stability and ride safety, a layered joint control algorithm based on phase plane stability domain is proposed to promote chassis performance under complicated driving conditions. First, combining two degrees-of-freedom vehicle dynamics model considering tire nonlinearity with phase plane theory, a yaw rate and side slip angle phase plane stability domain boundary is drew in real time. Then based on the real-time stability domain and hierarchical control theory, an integrated control system with active front steering (AFS) and direct yaw moment control (DYC) is designed, and the stability of the controller is validated by Lyapunov theory. Finally, the lateral stability of the vehicle is validated by Simulink and CarSim simulations, real car data, and driving simulators under moose test and pylon course slalom test. The experimental results confirm that the algorithm can enhance the maneuverability and ride safety for intelligent vehicles.
Liao, Yinsheng, Zhang, Zhijie, Su, Ailin, Zhao, Binggen, Wang, Zhenfeng
Evaluating Powertrain Mount Decoupling: Insights from Simulation, Experimental Results, and Analytical Calculations2025-01-002205/05/2025
Powertrain mounts are vital for isolating vibrations and enhancing vehicle ride comfort and performance, making their dynamic behavior critical for effective design. This study provides a comprehensive analysis of powertrain mount decoupling by integrating virtual simulations, physical testing, and analytical calculations. In our approach, we first derived stiffness data through analytical calculations, which were validated through multi-body dynamics (MBD) simulations that modeled interactions within the powertrain mounts. By adjusting bush stiffness parameters within the MBD framework, we predicted decoupling frequencies and analyzed kinetic energy distribution. The iterated stiffness values from simulations were then confirmed through physical testing, ensuring consistency in decoupling frequencies and energy distribution. This alignment between virtual and experimental data enhances the reliability of our findings and helps identify overlapping frequencies across vehicle systems
Shende, Kalyani, Shingavi, Shreyas, Rane, Vishesh, Hingade, Nikhil
A Study on Reduction of Gear Rattle Noise through Clutch Hysteresis Stabilization2025-01-010005/05/2025
Reducing gear rattle noise within the passenger cabin is a crucial objective in vehicle development due to its direct impact on customer comfort and driving experience. Gear rattle occurs when free gears collide during meshing, primarily driven by high torsional vibrations generated by engine fluctuations. These vibrations are transmitted through the clutch system to the transmission, amplifying noise inside the cabin. This study focuses on optimizing the clutch by stabilizing its hysteresis to address this issue. This helps minimize the torsional vibrations transferred to the transmission input shaft, thereby reducing gear rattle. The investigation centers on a case where significant gear rattle was observed at high vehicle speeds, particularly under high engine torque conditions. A thorough root cause analysis identified that the primary contributor to the noise was a drop in the clutch hysteresis value at elevated engine torques. This drop increased torsional vibrations in the
Awasthi, Mradul, Dhankhar, Dinesh Singh, Khare, Devendra Kumar, Rana, Deepak, Pandey, Anant
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
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
Vibration Refinement of Two Wheeler Sub Chassis and Aesthetic Parts Due to Engine Unbalanced Excitation Forces2025-01-011305/05/2025
Two wheeler is important and essential transportation mode in many of the countries across the globe. Designing a motorcycle with better riding comfort and minimal vibration are thus a major challenge for engineers now a day. Engine and road excitations are two source of vibration acting on motor bike or scooter both. These vibrations are transmitted to the chassis, sub chassis, aesthetic parts and then to the rider and pillion. Unwanted vibrations will create discomfort to the rider/pillion and produce noise. Hence, these need to be minimized. This study is focus on diagnosis and control of output vibration response of sub chassis/aesthetic parts due to engine unbalanced excitation force. There are numerous parameter of motor bike/scooter that governs the vibration response of sub chassis/aesthetic parts. Engine unbalanced inertia force characteristics and their transmission to rider and pillion has been studied and reported here. Environmental benefit demands for a complete noise
Khare, Saharash
RDE Methodology Development for Motorcycle Emissions Assessment2024-32-007304/18/2025
The transfer of conditions and regulations for RDE testing from passenger cars to motorcycles is a non-trivial undertaking. Motorcycles exhibit significant differences in construction and usage compared to cars, necessitating a distinct set of requirements for equipment and methodology. Currently available PEMS are hindered by their relatively large size and weight due to the embedded measurement technology and external power supply. The weight of, at least 50kg, poses a substantial additional load, leading to a deviation and, on average, higher load collective of the engine during RDE measurement rides. Beyond these structural parameters, the actual propulsion system and subsequent exhaust system introduce another challenge when employing PEMS on motorcycles. An unfavorable combination of the ratio of engine displacement to the volume of the exhaust system and long or unequal ignition intervals leads to pulsations, which has a considerable impact on the differential pressure-based
Schurl, Sebastian, Keller, Stefan, Lankau, Mathias, Hafenmayer, Christian, Schmidt, Stephan, Kirchberger, Roland
Dynamic Nonlinear Viscoelastic Measurements of Vehicle Seat Components for Ride Comfort Evaluation2024-32-005104/18/2025
Ride comfort is an important factor in the development of vehicles. Understanding the characteristics of seat components allows more accurate analysis of ride comfort. This study focuses on urethane foam, which is commonly used in vehicle seats. Soft materials such as urethane foam have both elastic and viscous properties that vary with frequency and temperature. Dynamic viscoelastic measurements are effective for investigating the vibrational characteristics of such materials. Although there have been many studies on the viscoelastic properties of urethane foam, no prior research has focused on dynamic viscoelastic measurements during compression to simulate the condition of a person sitting on a seat. In this study, dynamic viscoelastic measurements were performed on compressed urethane foam. Moreover, measurements were conducted at low temperatures, and a master curve using the Williams–Landel–Ferry (WLF) formula (temperature–frequency conversion law) was created.
Kamio, Chihiro, Yamaguchi, Takao, Maruyama, Shinichi, Hanawa, Kazuto, Iwase, Tsutomu, Hayashi, Tatsuo, Sato, Toshiharu, Mogawa, Hajime
Ride Index Structure and Development MethodologyJ2834_202504 (Current)04/16/2025
This recommended practice defines methods for the measurement of periodic, random and transient whole-body vibration. It indicates the principal factors that combine to determine the degree to which a vibration exposure will cause discomfort. Informative appendices indicate the current state of knowledge and provide guidance on the possible effects of motion and vibration on discomfort. The frequency range considered is 0.5 Hz to 80 Hz. This recommended practice also defines the principles of preferred methods of mounting transducers for determining human exposure. This recommended practice is applicable to light passenger vehicles (e.g., passenger cars and light trucks). This recommended practice is applicable to motions transmitted to the human body as a whole through the buttocks, back and feet of a seated occupant, as well as through the hands of a driver. This recommended practice offers a method for developing a ride performance index but does not specifically describe how to
Vehicle Dynamics Standards Committee
Sensory-Driven Design Method for Personalizing Ride Comfort Tailored to Individual Vibration Perception2025-01-827304/01/2025
This study aims to develop a design method that tailors the ride comfort and design variables of vehicle components according to individual differences in vibration perception. In conventional development, variations in vibration perception have been recognized; however, quantification methods remain undeveloped, preventing designs from being adapted to individual driver perceptions. The two unresolved problems include the uniformization of vibration perception in sensory performance modeling, which predicts sensory scores from vehicle vibrations, and design approaches that focus on minimizing vehicle vibrations without considering vibration perception. First, the authors’ previous study quantified the existence of individual differences in vibration perception through sensory scores obtained from ride simulator experiments involving 24 non-expert drivers using vibrations derived from a uniform vibration perception. Hierarchical clustering identified four perception groups; however
Kikuchi, Hironobu, Inaba, Kazuaki
The Model Predictive Control of Dual-Chamber Active Air Suspension Based on Road Preview2025-01-878904/01/2025
Adverse weather conditions such as rain and snow, as well as heavy load transportation, can cause varying degrees of damage to road surfaces, and untimely road maintenance often results in potholes. Perception sensors equipped on intelligent vehicles can identify road surface conditions in advance, allowing each wheel’s suspension to actively adjust based on the road information. This paper presents an active suspension control strategy based on road preview information, utilizing a newly designed dual-chamber active air suspension system. It addresses the issue of point cloud stratification caused by vehicle body vibrations in onboard LiDAR data. The point cloud is processed through segmentation, filtering, and registration to extract real-time road roughness information, which serves as preview information for the suspension control system. The MPC algorithm is applied to actively adjust the nonlinear stiffness and damping of the suspension’s dual-chamber air springs, enhancing
Dong, Fuxin, Shen, Yanhua, Wang, Kaidi, Liu, Zuyang, Qian, Shuo
Modal Characteristics of Oil-Gas Interconnected Suspension Systems and their Influence on Vehicle Ride Quality2025-01-827104/01/2025
This study focuses on the dynamic behavior and ride quality of three different modes of oil-gas interconnected suspension systems: fully interconnected mode, left-right interconnected mode, and independent mode. A multi-body dynamics model and a hydraulic model of the oil-gas suspension were established to evaluate the system's performance under various operating conditions. The research includes simulations of pitch and roll excitations, as well as ride comfort tests on different road surfaces, such as Class B roads and gravel roads. The analysis compares the effectiveness of the modes in suppressing pitch and roll movements and their impact on overall ride comfort. Results show that the independent mode outperforms the other two in minimizing roll, while the fully interconnected mode offers better pitch control but at the cost of reduced comfort. These findings provide valuable insights for the future design and optimization of oil-gas interconnected suspension systems, especially in
Xinrui, Wang, Chen, Zixuan, Zhang, Yunqing, Wu, Jinglai
Artificial Intelligence Technique Applied to Semi-Active Vibration Control in Vehicle Suspension System2025-01-827004/01/2025
This study investigates the influence of magnetorheological (MR) dampers in semi-active suspension systems (SASSs) on ride comfort, vehicle stability, and overall performance. Semi-active suspension systems achieve greater flexibility and efficacy by combining MR dampers with the advantages of active and passive suspension systems. The study aims to measure the benefits of MR dampers in improving ride comfort, vehicle stability, and overall system performance. The dynamic system model meets all required performance criteria. This study demonstrates that the proposed artificial intelligence approach, including a fuzzy neural networks proportional-integral-derivative (FNN-PID) controller, significantly enhances key performance criteria when tested under various road profiles. The control performance requirements in engineering systems are evaluated in the frequency and time domains. A quarter-car model with two degrees of freedom (2 DOF) was simulated using MATLAB/Simulink to assess the
M.Faragallah, Mohamed, Metered, Hassan, Abdelghany, M.A., Essam, Mahmoud A.
Fuzzy Sliding Mode Control of Intelligent Electric Vehicles Based on Phase Plane Stability Domain Boundaries2025-01-880204/01/2025
In order to effectively improve the chassis handling stability and driving safety of intelligent electric vehicles (IEVs), especially in combing nonlinear observer and chassis control for improving road handling. Simultaneously, uncertainty with system input, are always existing, e.g., variable control boundary, varying road input or control parameters. Due to the higher fatality rate caused by variable factors, how to precisely chose and enforce the reasonable chassis prescribed performance control strategy of IEVs become a hot topic in both academia and industry. To issue the above mentioned, a fuzzy sliding mode control method based on phase plane stability domain is proposed to enhance the vehicle’s chassis performance during complex driving scenarios. Firstly, a two-degree-of-freedom vehicle dynamics model, accounting for tire non-linearity, was established. Secondly, combing with phase plane theory, the stability domain boundary of vehicle yaw rate and side-slip phase plane based
Liao, Yinsheng, Wang, Zhenfeng, Guo, Fenghuan, Deng, Weili, Zhang, Zhijie, Zhao, Binggen, Zhao, Gaoming
Impact of Connected and Automated Vehicles on Longitudinal and Lateral Performance of Heterogeneous Traffic Flow in Shared Autonomy on Two-Lane Highways2025-01-809804/01/2025
Intelligent transportation systems and connected and automated vehicles (CAVs) are advancing rapidly, though not yet fully widespread. Consequently, traditional human-driven vehicles (HDVs), CAVs, and human-driven connected and automated vehicles (HD-CAVs) will coexist on roads for the foreseeable future. Simultaneously, car-following behaviors in equilibrium and discretionary lane-changing behaviors make up the most common highway operations, which seriously affect traffic stability, efficiency and safety. Therefore, it’s necessary to analyze the impact of CAV technologies on both longitudinal and lateral performance of heterogeneous traffic flow. This paper extends longitudinal car-following models based on the intelligent driver model and lateral lane-changing models using the quintic polynomial curve to account for different vehicle types, considering human factors and cooperative adaptive cruise control. Then, this paper incorporates CAV penetration rates, shared autonomy rates
Wang, Tianyi, Guo, Qiyuan, He, Chong, Li, Hao, Xu, Yiming, Wang, Yangyang, Jiao, Junfeng
Road Feel Simulation Feedback in a Bi-Directional Controlled Steer-by-Wire Front Steering System for Automobiles2025-01-829704/01/2025
This study analyzes feedback and control methods for road feel simulation in automotive steer-by-wire front steering systems based on bidirectional control. Unlike traditional road feel design methods, this research employs a force-direct feedback-position type bidirectional control structure for the SBW system. It explores the mechanism of road feel generation in Electric Power Steering systems and designs a road feel simulation algorithm based on bidirectional control. Compared to conventional methods, the force direct feedback-position type bidirectional control method enables faster and more stable simulation of road feel torque. In low-speed driving, this approach provides higher steering ease, while at high speeds, the driving stability is enhanced, and both scenarios achieve an improved road feel. In the research, a complete vehicle model is established in Simulink at first, followed by a co-simulation with CarSim. A magic formula tire model and a nonlinear two-degree-of-freedom
Wang, Yuxuan, Zheng, Hongyu, Kaku, Chuyo, Zong, Changfu
Optimal Torque Vectoring Control for Autonomous Electric Vehicles Considering Ride Comfort2025-01-831004/01/2025
This study introduces an innovative torque vectoring control strategy designed to enhance ride comfort in autonomous electric vehicles. The approach seamlessly integrates steering and rear axle force control within a model predictive control (MPC) framework, enabling real-time optimization of comfort and handling performance. The proposed control method is applied to a two-rear-motor vehicle model, where the MPC algorithm adjusts steering angles and tire forces to minimize discomfort caused by yaw rate and lateral acceleration. Simulation results from a lane-change scenario demonstrate significant improvements in comfort metrics compared to conventional torque vectoring control strategies. The findings highlight the ability of the proposed method to significantly enhance ride comfort without compromising vehicle dynamics. This integrated and adaptive control strategy offers a promising solution for improving passenger satisfaction in autonomous electric vehicles, with potential
Zhao, Bolin, Lou, Baichuan, He, Xianqi, Xue, Wanying, Lv, Chen
Impact of Preload and Amplitude on the High-Frequency Behaviour of Rubber Bushings in Electric Vehicles: An Experimental Study2025-01-825404/01/2025
Electric vehicles (EVs) are particularly susceptible to high-frequency noise, with rubber eigenmodes significantly influencing these noise characteristics. Unlike internal combustion engine (ICE) vehicles, EVs experience pronounced variations in dynamic preload during torque rise, which are substantially higher. This dynamic preload variation can markedly impact the high-frequency behaviour of preloaded rubber bushings in their installed state. This study investigates the effects of preload and amplitude on the high-frequency dynamic performance of rubber bushings specifically designed for EV applications. These bushings are crucial for vibration isolation and noise reduction, with their role in noise, vibration, and harshness (NVH) management being more critical in EVs due to the absence of traditional engine noise. The experimental investigation examines how preload and excitation amplitude variations influence the dynamic stiffness, damping properties, and overall performance of
Hazra, Sandip, Khan, Arkadip Amitava
Drop Test Correlation in Front & Rear Landing Scenario for Two-Wheeler (Motorcycle) using Multibody Simulation2025-01-863804/01/2025
Two wheelers motorcycles are used for many purposes e.g. commuting from one place to another, long highway rides, racing and off-roading. Motorcycles which are used in off-road conditions require higher suspension strokes to absorb large oscillations due to terrain conditions. These motorcycles undergo jumps of varying heights and different vehicle orientations. In some of the dynamic situations front wheel may land on the ground before the rear and in other cases it may be vice versa. To make sure that the vehicle is durable enough to withstand loads in such operating conditions, vehicle drop test was developed in test lab where vehicle is dropped from predefined heights in both front & rear wheel landing conditions. Same test case is simulated in multibody dynamics to capture loads at important connections of the frame. This paper presents the correlation exercise carried out to validate MBD model and simulation process with test data captured during lab test. Accelerations at
Jain, Arvind Kumar, Nirala, Deepak
Tire Wear Life Prediction Using Machine Learning Technique2025-01-875704/01/2025
As global warming and environmental problems are becoming more serious, tires are required to achieve a high level of performance trade-offs, such as low rolling resistance, wet braking performance, driving stability, and ride comfort, while minimizing wear, noise, and weight. However, predicting tire wear life, which is influenced by both vehicle and tire characteristics, is technically challenging so practical prediction method has long been awaited. Therefore, we propose an experimental-based tire wear life prediction method using measured tire characteristics and the wear volume formula of polymer materials. This method achieves practical accuracy for use in the early stages of vehicle development without the need for time-consuming and costly real vehicle tests. However, the need for improved quietness and compliance with dust regulations due to vehicle electrification requires more accuracy, leading to an increase in cases requiring judgment through real vehicle tests. To address
Ando, Takashi
Vibration Mitigation of Semi-Active Vehicle Suspension System Incorporating Magnetorheological Damper Using Hybrid Control2025-01-826904/01/2025
Magnetorheological (MR) dampers, known for their remarkable dependability and cost-effectiveness, have established themselves as prime semi-active vibration control devices in engineering systems. MR dampers are categorized as adaptive devices because their features may be readily adjusted by applying a regulated voltage signal. Their ability to offer superior performance while mitigating the drawbacks of fully active actuators underscores their practical significance. This research is to investigate some system hybrid controllers using a combination state derivative feedback and a linear-quadratic regulator for use in conjunction with the damper controller of a semi-active suspension of a Quarter vehicle model to improve ride comfort and vehicle stability. The mathematical model of 3 degrees of freedom for semi-active suspension using MR dampers will be derived and simulated using MATLAB and SIMULINK software. In order to quantify the effectiveness of the suggested control strategies
M.Faragallah, Mohamed, Metered, Hassan, Essam, Mahmoud A.
A Study of Tire Handling and Ride Performance Map According to Tire Tread Wear State2025-01-876004/01/2025
The electric vehicle market, vehicle ECU computing power, and connected electronic vehicle control systems continue to grow in the automotive industry. The results of these advanced and expanded vehicle technologies will provide customers with increased cost savings, safety, and ride quality benefits. One of these beneficial technologies is the tire wearing prediction. The improved prediction of tire wear will advise a customer the best time to change tires. It is expected that this prediction algorithms will be essential part for both the optimization of the chassis control systems and ADAS systems to respond to changed tire performance that varies with a tire’s wear condition. This trend is growing, with many automakers interested in developing advanced technologies to improve product quality and safety. This study is aimed at analyzing the handling and ride comfort characteristics of the tire according to the depth of tire pattern wear change. The handing and ride comfort
Kim, Changsu, Kwon, Seungmin, Sung, Dae-Un, Ryu, Yonghyun, Ko, Younghee
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