Browse Topic: Vehicle ride

Items (542)
Throughout the vehicles industry and electrification, vehicle ride comfort, road holding, and fuel/charge economy have always been important considerations for the design and development of shock absorbers. Vehicle suspension is one of the oscillating power dissipation sources in which the undesired mechanical energy is dissipated into heat waste. Therefore, in this study a regenerative MacPherson strut is modeled and validated to investigate the vehicle vertical dynamics performance as well as the harvestable power that can be used to charge batteries or power vehicle electrical loads. The optimal design parameters of the regenerative MacPherson strut (RE.M.S) is obtained by using multi-object genetic algorithm (MOGA) optimization for a better trade-off between regenerated power, ride comfort, and road holding. The results showed that RE.M.S can function as a semi-active shock absorber as change of duty cycle of charging circuit. Furthermore, the optimal selection of the design
Hegazy, Ahmed H.A.Kaldas, Mina M.Soliman, Aref M.A.Huzayyin, A.S.
The parametrized twist beam suspension is a pivotal component in the automotive industry, profoundly influencing the ride comfort and handling characteristics of vehicles. This study presents a novel approach to optimizing twist beam suspension systems by leveraging parametric design principles. By introducing a parameter-driven framework, this research empowers engineers to systematically iterate and fine-tune twist beam designs, ultimately enhancing both ride quality and handling performance. The paper outlines the theoretical foundation of parametrized suspension design, emphasizing its significance in addressing the intricate balance between ride comfort and dynamic stability. Through a comprehensive examination of key suspension parameters, such as twist beam profile, material properties, and attachment points, the study demonstrates the versatility of the parametric approach in tailoring suspension characteristics to meet specific performance objectives. To validate the
Pakala, Pradeep KumarGanesh, Lingadalu
In the realm of commercial vehicle design, enhancing the durability of bumpers and headlamps is paramount for ensuring safety and reducing maintenance costs. This study explores the development of a lightweight bumper design with optimized resonance frequency to improve the durability of these critical components. The research focuses on innovative design techniques to achieve a balance between weight reduction and structural integrity. The primary objective is to minimize the impact forces transmitted to the bumper and headlamp assemblies during vibrations. By employing finite element analysis (FEA) and experimental validation, the study identifies the optimal resonance frequency that mitigates the risk of resonance-induced damage. Additionally, the study examines the influence of geometric modifications on the bumper’s performance. Various design iterations are analyzed to determine the most effective configuration for enhancing durability while maintaining compliance with industry
Pandey, SudheerGanesan, Balaji
Born Electric SUVs generally feature a high centre of gravity (CG) with greater rear axle weight. They use sophisticated multi-link suspension, which offers large scope for ride comfort and handling optimisation. The development costs and time associated with the process will position the vehicle in a premium segment. Usually, the twist beam (RTB) is used in lower rear axle weight category vehicles due to its simple design and cost effectiveness. This study showcases exploration for implementation of RTB on higher weight category vehicles, which usually uses multi-link suspension. The limitation of the twist beam is to exhibit lateral force compliance oversteer during cornering, due to large moment arm from wheel centre to twist beam bush. Lack of lateral stiffness when compared to multi-link suspension causes delayed rear axle yaw response. It also has reduced scope in ride-handling optimization due to its simple structure and kinematics. So, in order to maximize the performance
Prabhakara Rao, VageeshRasal, ShraddheshAsthana, ShivamM, SudhanVellandi, Vikraman
ABSTRACT Test course characterization has long relied on single-line profile measurements which provide elevation as a function of distance. These profiles are analyzed to provide various statistics and metrics. While these metrics can be useful, single-line profiles will always lead to a limited characterization. A vehicle has multiple concurrent inputs from the ground, inducing not just vertical excitations but also pitching, rolling, and twisting displacements (amongst others). Improvements in profiling equipment have enabled the ability to sample and characterize the entire surface. This paper identifies two characterization methods which take advantage of a full surface scan. The first uses orthogonal transverse modes which could either be extracted with Singular Value Decomposition (SVD) or be predefined polynomials. The second extracts a concurrent profile under each wheel for a given vehicle axle spacing and track width. Orthogonal basis vectors are then projected onto the
Liswell, Brian
ABSTRACT This paper presents a modeling and simulation framework for tracked vehicles for ride comfort and load prediction analysis. The development began with the identification of the key issues such as formulations, integration schemes and contact (with friction) modeling on which the comparative studies are conducted. Based on the results of the investigations, the framework and process for the modeling and simulation of tracked vehicles are established and appropriate algorithms for contact and friction are developed. To facilitate the modeling and simulation process, a Python-based modeling environment was developed for process automation, design optimization and design of experiment. The developed framework has been successfully applied to the dynamic load predication of a M1A1 based Joint Assault Bridge (JAB). The parameter optimization enabled with the Python-based process automation tool helps improve the design and modification of vehicles for significantly improved fatigue
Song, PeilinMelick, PeteHorchner, James
ABSTRACT We compared performance of a lightweighted and baseline vehicle and demonstrated how performance is affected by adjusting the spring and shocks using 2-D and 3-D simulations. 2-D lump-parameter model was constructed from physical vehicle parameters by transforming displacements and loads from the springs and dampers into wheel motion and spindle forces. For the 3-D model, a detailed model for each suspension was used including rotational inertia of moving parts. Ride quality was assessed for 16 ride-courses with varying RMS terrain roughness by finding maximum speed at which average absorbed power at the driver seat is lower than 6 W. Shock performance was evaluated by finding maximum speed for the driver not to exceed 2.5-G acceleration when riding over varying-size half-round obstacles. The forces on wheel axes and accelerations were measured for the vehicle dropped from the height of 6, 12, 18, and 24 in. Maximum longitudinal slope climbing capability was estimated on hard
Jelinek, BohumirSalmon, EthanMason, GeorgeGibson, MichaelHannis, TylerPachel, NathanJarrell, WalkerTowne, Brent
ABSTRACT The need for up-armored vehicles has increased over the years. This has put a greater emphasis on suspensions that can provide improved ride and handling capabilities while facing the additional weight. One of the challenges with these vehicles traditionally has been increased likelihood of rollover. Increased rollover is due to high center of gravity, kinematics of the overloaded suspension, and the low damping that is needed to satisfy 6-Watt ride speed performance criteria. The Lord magneto-rheological (MR) suspension system addresses these issues by improving the ride quality and handling characteristics thereby increasing safety and mission effectiveness. During handling maneuvers, algorithms inside the controller unit apply corrective forces to minimize peak roll angle and peak roll rate. The benefit of this has been tested on a vehicle comparing the stock passive dampers to the MR dampers over NATO Lane change events. Furthermore, the controller has the capability to
Hildebrand, StephenMargolis, DonaldMathew, AbrahamMattson, Michael
ABSTRACT Damper models used in Multi Body Dynamics simulations of tracked vehicles are commonly defined solely by damper curves, that is stabilized damper reaction torque as a function of steady state velocity. In reality, the achievement of the stable reaction torque lags behind damper curve torque upon attainment of a given velocity. As detailed in this paper, the idealization to reduce damper performance to a “damper curve” cannot produce an accurate representation of the two primary terrains military vehicles are designed against: half-round and ride quality courses. By introducing “compliance” and “lash”, the damper performance can be accurately represented. With the slight extension of this model to a fully physics based one, future dampers can be designed to expand the operating performance envelope of tracked vehicles. Citation: D. Ostberg, K. Redner, S. Allen, “Transient Torque Response Modeling of Tracked Vehicle Suspension Rotary Dampers,” In Proceedings of the Ground
Ostberg, DavidRedner, KennethAllen, Samuel
ABSTRACT <underline>Problem outline</underline>: Adding armor to protect vehicle occupants leaves conventional suspensions incapable of delivering ride quality and handling needed for mission objectives. The current up-armored HMWWV has exceeded the design weight for the M1113 variant by a considerable amount. The rated GVW is 11,500 lb, yet the mission ready weight often reaches 14,500 lb. This results in greatly reduced reliability and frequent breakage of suspension components. When the suspension is overloaded, the ride height is reduced and the vehicle is no longer capable of safely traversing rough terrain. In addition, the lack of available compression travel results in severe bottoming that transmits extremely high shock loads into the suspension, chassis and ultimately the occupants. A semi-active suspension upgrade kit for the up-armored HMWWV was developed with the objective of achieving comparable performance for the weight range of 8300lbs curb weight to 14,500lbs combat
ABSTRACT The normal reaction force in the tire-soil patch is a continuously changing wheel parameter. When a vehicle moves over uneven ground, motion in the vehicle’s sprung and unsprung masses produce dynamic shifts in the magnitude of the load transmitted to the ground. With the damping force controlled for better ride quality, tight constraining of the sprung mass motion may lead to significant dynamic changes of the normal load. At excessive loads, the wheel can dig into the soil. Considerably reduced loads can negatively impact vehicle steerability and diminish traction performance. The purpose of this paper is to develop a method that allows for establishing boundaries of the dynamic normal reaction in the tire-soil patch on uneven terrain. The boundary constraints are considered for both maximum and minimum values to establish conditions for mobility and steerability. Using differential equations describing the motion two masses of a single-wheel module representing a vehicle
Paldan, JesseVantsevich, VladimirGorsich, DavidGoryca, JillSingh, AmandeepMoradi, Lee
Advances in vehicle sensing and communication technologies are enabling new opportunities for intelligent driver assistance systems that enhance road safety and performance. This paper provides a comprehensive review of recent research on two complementary areas: haptic/tactile interfaces for conveying road terrain and hazard information to drivers, and shared control frameworks that employ assistive automation to supplement driver inputs. Various haptic feedback techniques for generating realistic road feel through steering wheel torque overlays, pedal interventions, and alternative interface modalities are examined. Control assistance approaches integrating environmental perception to provide steering, braking, and collision avoidance support through blended human–machine control are also analyzed. The paper scrutinizes methods for road sensing using cameras, LiDAR, and radar to classify terrain for adapting system response. Evaluation practices across this domain are critically
Shata, Abdelrahman Ali AdelNaghdy, FazelDu, Haiping
In order to modify both stiffness and damping rates according to various road conditions, this research introduces a pneumatic spring in conjunction with a magnetorheological (MR) fluid damper as a single suspension unit for each wheel in the truck. Preventing weight transfer and improving riding comfort during braking, acceleration, and trajectory prediction are the main objectives. A two-axle truck has been used, consisting of three degrees of freedom for the sprung mass, including vertical, pitch, and roll motions, and four degrees of freedom for the unsprung masses, which have been redesigned according to the different types of springs and dampers. Pneumatic-controlled springs, often referred to as dynamic or classic models, replace laminated leaf springs commonly found in vehicles. Additionally, an MR damper replaces a hydraulic double-acting telescopic shock absorber. These models are studied to evaluate the effect of pneumatic spring parameters on truck dynamics. Pneumatic
Shehata Gad, AhmedEl-Zomor, Haytham M.
The automobile industry strives to develop high-quality vehicles quickly that fulfill the buyer’s needs and stand out within the competition. Full utilization of simulation and Computer-Aided Engineering (CAE) tools can empower quick assessment of different vehicle concepts and setups without building physical models. This research focuses on optimizing vehicle ride and handling performance by utilizing a tuning specifications range. Traditional approaches to refining these aspects involve extensive physical testing, which consumes both time and resources. In contrast, our study introduces a novel methodology leveraging virtual Subjective Rating through driving simulators. This approach aims to significantly reduce tuning time and costs, consequently streamlining overall development expenditures. The core objective is to enhance vehicle ride and handling dynamics, ensuring a superior driving experience for end-users. By meticulously defining and implementing tuning specifications, we
Ganesh, Lingadalu
Three dynamic models of a passenger car including the one-dimensional dynamic model, two-dimensional dynamic model, and three-dimensional dynamic model are built to evaluate the ride quality of the passenger car as well as the isolating performance of the SNS (structure of negative stiffness). The decrease of the root-mean-square (RMS) accelerations in the seat and car’s body shaking is the research goal. The investigation results indicate that under all working conditions including the various excitations of the road surface and various velocities of the passenger car, the seat’s acceleration with SNS is strongly ameliorated in comparison without SNS in all three models of the passenger car. Particularly, the RMS seat acceleration with SNS in one-, two-, and three-dimensional models is strongly reduced in comparison without SNS by 76.87%, 66.15%, and 70.59%, respectively. Thus, the seat’s SNS has a good effect in isolating the vertical vibration of the passenger car’s seat. However
Zhang, LeiLi, TaoYang, Guixing
Vibration comfort is a critical factor in assessing the overall performance of engineering machinery, with significant implications for operator health and safety. However, current evaluation methods lack specificity for construction machinery, impeding accurate prediction of vibration comfort and hindering the optimization of noise, vibration, and harshness (NVH) performance. To address this challenge, this article proposes a model that combines a random forest with a genetic algorithm (GA-RF) to enable rapid and accurate prediction of vibration comfort in construction machinery cabins. The approach begins with an improved objective evaluation methodology for extracting key features from vibration signals at five measurement points: seat, floor, back, and left and right armrests. Additionally, subjective evaluation technology, combining semantic differential and rating scales, is employed to capture operators’ personal comfort perceptions. The implementation of the GA-RF model
Zhao, JianYin, YingqiChen, JiangfeiZhao, WeidongDing, WeipingHuang, Haibo
While semi-active suspensions help improve the ride comfort and road-holding capacity of the vehicle, they tend to be reactive and thus leave a lot of room for improvement. Incorporating road preview data allows these suspensions to become more proactive rather than reactive and helps achieve a higher level of performance. A lot of preview-based control algorithms in literature tend to require high computational effort to arrive at the optimal parameters thus making it difficult to implement in real time. Other algorithms tend to be based upon lookup tables, which classify the road input into different categories and hence lose their effectiveness when mixed types of road profiles are encountered that are difficult to classify. Thus, a novel MPC (model predictive control)-based algorithm is developed which is easy to implement online and more responsive to the varying road profiles that are encountered by the vehicle. The efficacy of the algorithm is tested against a numerical methods
Thamarai Kannan, Harish KumarFerris, John B.
This SAE Recommended Practice establishes a rating scale for subjective evaluation of vehicle ride and handling. The scale is applicable for the evaluation of specific vehicle ride and handling properties for specified maneuvers, road characteristics and driving conditions, and on proving ground and public roads. The validity of the evaluation is restricted to the individual ride and handling disciplines defined by these maneuvers and to the particular combination of conditions of the vehicle (e.g., equipment, degree of maintenance) and of the environment (e.g., road, weather). This rating scale may not be suitable for some applications, such as specific types of ride or handling qualities, driver populations and market segments, or for correlating with objective measures. Appendix A discusses rating scales that better suit such applications. This document is intended as a guide toward standard practice and is subject to change to keep pace with experience and technical advances
Vehicle Dynamics Standards Committee
In the highly competitive landscape of the automotive industry, enhancing ride comfort has become a paramount challenge for automakers. To address this challenge, a novel double damper suspension system has been investigated. This system, featuring two single dampers operating collaboratively as an integrated unit, is analyzed with a dual focus: a comprehensive comparison of various control algorithms to identify the one offering superior comfort and the experimental validation of these findings. The modeling process, executed in Simulink, encompasses the representation of pressure, discharge, and force equations, along with the development and testing of multiple control algorithms. The study employs a shock dynamometer, utilizing both the double damper and a single semi-active damper as test subjects in a pseudo-quarter-car test bed setup. Throughout the experimental phase, solenoid actuation in the dampers is guided by specific control logic, utilizing acceleration data for the
Hamedi, BehzadShrikanthan, SudarshanTaheri , Saied
The NVH performance of electric vehicles is a key indicator of vehicle quality, being the structure-borne transmission predominating at low frequencies. Many issues are typically generated by high vibrations, transmitted through different paths, and then radiated acoustically into the cabin. A combined analysis, with both finite-element and multi-body models, enables to predict the interior vehicle noise and vibration earlier in the development phases, to reduce the development time and moreover to optimize components with an increased efficiency level. In the present work, a simulation of a Hyundai electric vehicle has been performed in IDIADA VPG with a full vehicle Multi-Body (MBD) model, integrated by vibration calculations with a Finite Elements (FE) model in MSC. Nastran to analyze the comfort. Firstly, a full vehicle MBD model has been developed in MSC. ADAMS-Car including representative flexible bodies (generated from FE part models). The usage of a physical tire model and
Tonelli, RiccardoBuckert, SebastianPatrucco, AndreaBragado Perez, BeatrizGutierrez, JavierSanchez, Angel
Making a Miata feel at home off-road takes ingenuity and some help from modern 3D-printing tech. I have always loved off-road racing. I love the innovation, grit and determination it takes to get across the finish line after 250, 500 or even 1,000 miles (402, 805 or 1,609 km) of racing. I have also always loved Miatas. I bought my first NA in 1994 and never looked back. I currently own a 2004 Mazdaspeed Miata and a 2001 lifted Miata
Hall, Emme
While there is a tendency for new vehicles to have a focus on ride, handling, performance and other dynamic elements, the model year 2024 Lincoln Nautilus team added another element to how the driver will experience the midsize SUV. Not that the ride, handling, etc. were ignored, but the global design and engineering team wanted to do something different with this two-row SUV. Recognize that this is a vehicle with a sumptuous interior that includes not only first-class seating (24-way adjustable front seats) and materials (Alpine Venetian leather available on the seats; cashmere for the headliner) but also an available high-end Revel Ultima 3D audio system with 28 speakers. What's more, there's “Lincoln Digital Scent,” small electronically activated pods containing various aromas (e.g., Mystic Forest, Ozonic Azure, Violet Cashmere). Across the top of the instrument panel there is a 48-inch backlit LCD screen and a 11.1-inch touchscreen in the center stack
Vasilash, Gary
Taking the semi-active suspension system as the research object, the forward model and inverse model of a continuous damping control (CDC) damper are established based on the characteristic test of the CDC damper. A multi-mode semi-active suspension controller is designed to meet the diverse requirements of vehicle performance under different road conditions. The controller parameters of each mode are determined using a genetic algorithm. In order to achieve automatic switching of the controller modes under different road conditions, a method is proposed to identify the road roughness based on the sprung mass acceleration. The average of the ratio between the squared sprung mass acceleration and the vehicle speed within a specific time window is taken as the identification indicator for road roughness. Simulation results show that the proposed road roughness identification method can accurately identify smooth roads (Class A–B), slightly rough roads (Class C), and severely rough roads
Feng, JieyinYin, ZhihongXia, ZhaoWang, WeiweiShangguan, Wen-BinRakheja, Subhash
In order to efficiently predict and investigate a vehicle’s vertical dynamics, it is necessary to consider the suspension component properties holistically. Although the effects of suspension stiffness and damping characteristics on vertical dynamics are widely understood, the impact of suspension friction in various driving scenarios has rarely been studied in both simulation and road tests for several decades. The present study addresses this issue by performing driving tests using a special device that allows a modification of the shock absorber or damper friction, and thus the suspension friction to be modified independently of other suspension parameters. Initially, its correct functioning is verified on a shock absorber test rig. A calibration and application routine is established in order to assign definite additional friction forces at high reproducibility levels. The device is equipped in a medium-class passenger vehicle, which is driven on various irregular road sections as
Deubel, ClemensSchneider, Scott JarodProkop, Günther
This paper presents an adaptive H2/H∞ control strategy for a semi-active suspension system with unknown suspension parameters. The proposed strategy takes into account the damping force characteristics of continuous damping control (CDC) damper. Initially, the external characteristics of CDC damper were measured, and a forward model and a back propagation (BP) neural network inverse model of CDC damper were proposed using the measured data. Subsequently, a seven-degree-of-freedom vehicle with semi-active suspension system and H2/H∞ controller was designed. Multiple feedback control matrices corresponding to different sprung mass parameter values were determined by analyzing time and frequency domain performance. Finally, a dual observer system combining suspension state and parameter estimation based on the Kalman filter algorithm was established. The estimated parameter was used to determine feedback control matrix, while the observed states were used to calculate the desired damping
Du, CanjieYin, ZhihongXia, ZhaoWang, WeiweiShangguan, Wen-Bin
In today’s rapidly evolving automotive world, reduction of time to market has prime importance for a new product development. It is critical to have significant front-loading of the development activities to reduce development time while achieving best in class performance targets. Driver-in-the-loop (DIL) simulators have shown significant potential for achieving it, through real time subjective feedback at preliminary stages of the vehicle development. Recent advances in technology of driving simulators have enabled quite accurate representation steering and handling performance, also good prediction on primary ride and low frequency vibrations. In conventional damper development, the definition of the initial dampers tuning specifications typically requires a mule vehicle, or atleast, a comparable vehicle. However, this approach is associated with protracted iterations that consume substantial time and cost. This becomes even more critical when introducing new damper technology on
Rasal, ShraddheshAsthana, ShivamVellandi, VikramanArconada, Verónica SantosTosolin, Guido
The accuracy of chassis control for intelligent electric vehicles (IEVs), especially in road-based IEVs control for improving road holding and ride comfort, is a challenging task for the intelligent transport system. Due to the high fatality rate caused by inaccurate road-based control algorithms, how to precisely and effectively choose a reasonable road-based control algorithm become a hot topic in both academia and industry. To address and improve the performance of road holding and ride comfort of IEVs by using a semi-active suspension system, an adaptive sliding mode control (ASMC) algorithm-based road information is proposed to realize the overall performance of the intelligent vehicle chassis system in the paper. Firstly, the models of road excitation and equivalent hybrid control of a quarter semi-active suspension system are established. Secondly, connecting with the minimum redundancy maximum relevance (MRMR) approach and probability neural network (PNN) theory, the method of
Wang, ZhenfengLiao, YinshengZhang, ZhijieHu, ZhimingZhao, GaomingHuang, TaishuoZhang, Lei
The purpose of this paper is to investigate the efficiency of a quarter car semi-active suspension system with the state-derivative feedback controller using the Bouc-Wen model for magneto-rheological fluids. The magnetorheological (MR) dampers are classified as adaptive devices because of their characteristics can be easily modified by applying a controlled voltage signal. Semi-active suspension with MR dampers combines the benefits of active and passive suspension systems. The dynamic system captures the basic performance of the suspension, including seat travel distance, body acceleration, passenger acceleration, suspension travel distance, dynamic tire deflection and damping force. With minimal reliance on the use of sensors, the investigation aims to improve ride comfort and vehicle stability. In this study, the state derivative feedback controller and Genetic algorithm (GA) is utilized to improve the performance of semi-active suspension system. Moreover, the cost is reduced
M.Faragallah, MohamedMetered, HassanAbdelaziz, Taha H.
The performance of suspension system has a direct impact on the riding comfort and smoothness. For the traditional suspension can not effectively alleviate the impact of road surface and the poor anti-vibration performance, The dynamics model of vehicle suspension system is established, and the control model of vehicle four-degree-of-freedom active suspension is designed with fuzzy control strategy. On this basis, a comprehensive simulation model of the control model of vehicle active suspension coupled with road excitation is established. and the ride comfort of vehicles under different types of suspension are tested through Simulink. The simulation results show that compared with the passive suspension, the reduction of vehicle acceleration and dynamic deformation of the active suspension controlled by fuzzy PID can reach 33.76% and 22.45%. and the reduction of pitch Angle speed and dynamic load of the active suspension controlled by fuzzy PID can reach 16.18% and 10.72%. Under fuzzy
Jing, Li Jing
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