Advanced study of tire characteristics and their influence on vehicle lateral stability and untripped rollover threshold

Hassan, Mohamed A.; Abdelkareem, Mohamed A. A.; Moheyeldein, M.M; Elagouz, Ahmed; Tan, Gangfeng

doi:10.1016/j.aej.2020.04.008

Cited by 21 publications

(17 citation statements)

References 43 publications

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“…e effects of the tire characteristics on vehicular rollover and lateral stability were investigated using two tire types with different adhesions to evaluate the relationship between the rollover propensity and lateral stability [5]. e results confirmed that the adhesion capacities of tires significantly influence the lateral vehicular stability and rollover propensity.…”

Section: Introductionmentioning

confidence: 72%

“…Vehicular handling and stability are significantly affected by the inertial vehicle properties, including the sprung mass and the location of the center of gravity (C.G. ), suspension characteristics, and driving conditions [1][2][3][4][5]. Tuned vehicle design parameters and suspension features can provide enhanced interactions between the tires and the road surface [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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A Monte Carlo Parametric Sensitivity Analysis of Automobile Handling, Comfort, and Stability

Hassan

Abdelkareem

Tan

et al. 2021

Shock and Vibration

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This paper investigates the bandwidth sensitivity of automobile handling, comfort, and stability based on Monte Carlo sensitivity simulations. Performed bandwidth sensitivity simulations include the effects of vehicle geometry and suspension parameters on lateral acceleration, roll angle, front/rear sideslip angles, and yaw rate angle, including both time- and frequency-domain sensitivity analyses. To replicate actual automobile responses, a full-vehicle roll-oriented suspension seven-degree-of-freedom (7-DOF) model was developed and implemented considering a 2-DOF planar two-track model with a nonlinear Pacejka tire model. During the Monte Carlo simulations, 10 mm and 20 mm amplitude sine-wave excitations were used for the left and right sides, respectively, and the frequency was uniformly sampled over the range of 0–30 Hz. Simultaneously, each investigated vehicle parameter varied by ±25% relative to the reference model parameters. These simulations illustrate the sensitivity of the lateral acceleration, roll angle, yaw angle, and sideslip angles to their parameter variations. The results confirm that the road excitation frequency, tire properties, vehicle geometry, and suspension parameters significantly influence the vehicular lateral and roll stabilities when considering the lower and higher peaks and the frequency bandwidths of the lateral and roll stabilities. Interestingly, the longitudinal location of the center of gravity and the tire properties can achieve more significant peak lateral stability responses, as represented by the front and rear sideslip angles and the frequency bandwidth, compared to the other vehicle parameters at high frequencies. Choosing the correct tire properties and vehicle geometry, as well as suspension characteristics, plays an essential role in increasing the vehicular lateral stability and the rollover threshold. Variations in the studied parameters allow for higher vehicular stability when a vehicle is driven on random road surfaces.

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Section: Introductionmentioning

confidence: 72%

Section: Introductionmentioning

confidence: 99%

A Monte Carlo Parametric Sensitivity Analysis of Automobile Handling, Comfort, and Stability

Hassan

Abdelkareem

Tan

et al. 2021

Shock and Vibration

Self Cite

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“…Zhang et al 33 proposed an integrated control system specially designed for multi-axle vehicles (Differential braking and active steering). Hassan et al 34 investigated the effects of tyre characteristics on vehicular rollover and lateral stability. Muniandy et al 35 designed a hardware-in-the-loop test rig that can be used to test the dual-active anti-roll bar system, and tested and verified the Self-tuning fuzzy PI-PD, the PI-PD type fuzzy logic controller and self-tuning fuzzy PID.…”

Section: Introductionmentioning

confidence: 99%

Sliding mode control for overturning prevention and hardware-in-loop experiment of heavy-duty vehicles based on dynamical load transfer ratio prediction

Han

Huang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part K:

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Aiming at the rollover risk of heavy-duty vehicles, an adaptive rollover prediction and control algorithm based on identification of multiple road adhesion coefficients is proposed, and the control effect has been verified by hardware-in-the-loop experiments. Based on the establishment of a 3 DOFs (Degree of freedom) vehicle dynamic model, the roll angle of the vehicle dynamic model is estimated in real time by using Kalman filter algorithm. In order to ensure the real-time operation of anti-rollover control strategy for multi-body dynamic heavy vehicle model, a sliding mode variable structure controller for anti-rollover of vehicles is designed to determine the optimal yaw moment. Specially, the recognition algorithm of road surface type is integrated into the control rollover algorithm. When the control system with road recognition algorithm recognizes whether the vehicle is in danger of rollover, it can not only adjust the state of the vehicle, but also shorten the time to reach the stable area of the vehicle's lateral load transfer rate by about 2 s. In order to further improve its adaptability and control accuracy, a Hardware-in-loop test platform for three-axis heavy-duty vehicles is built to verify the proposed anti-rollover control strategy. The results prove that the proposed control strategy can accurately predict the rollover risk and control the rollover in time.

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“…While passing over irregularities on the rolling surface, the car wheel was subjected to vertical displacement. The suspension system (which includes the wheel guiding mechanism, and the elastic and damping elements) has the role of minimizing the impact that the rolling surface irregularities has on the chassis, reducing the forces, damping the vibration, isolating the interior (cabin/cockpit) from noise and shocks, and thus improving the ride and handling of the vehicle [1][2][3][4][5][6][7][8]. Optimal suspension design, including the development of innovative solutions such as those shown in [9,10], has been a permanent concern and challenge.…”

Section: Introductionmentioning

confidence: 99%

“…The MBS model developed in ADAMS/View for the front axle suspension system is shown in Figure 10. The lower control arm (1) was linked to the chassis in points A and B through spherical joints, the rocker (5) was linked to the chassis in point C by a revolute joint, and point D was the location of the spherical joint that linked the toe link/steering rod (6) to the steering rack. In the kinematic model of the suspension system, the steering rack was fixed, so it was rigidly connected to chassis (in other words, the steering wheel is not actuated).…”

mentioning

confidence: 99%

Multi-Criteria Optimization of an Innovative Suspension System for Race Cars

Țoțu

Alexandru

2021

Applied Sciences

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The purpose of the present work was to design, optimize, and test an innovative suspension system for race cars. The study was based on a comprehensive approach that involved conceptual design, modeling, simulation and optimization, and development and testing of the experimental model of the proposed suspension system. The optimization process was approached through multi-objective optimal design techniques, based on design of experiments (DOE) investigation strategies and regression models. At the same time, a synthesis method based on the least squares approach was developed and integrated in the optimal design algorithm. The design in the virtual environment was achieved by using the multi-body systems (MBS) software package ADAMS, more precisely ADAMS/View—for modeling and simulation, and ADAMS/Insight—for multi-objective optimization. The physical prototype of proposed suspension system was implemented and tested with the help of BlueStreamline, the Formula Student race car of the Transilvania University of Brașov. The dynamic behavior of the prototype was evaluated by specific experimental tests, similar to those the single seater would have to pass through in the competitions. Both the virtual and experimental results proved the performance of the proposed suspension system, as well as the usefulness of the design algorithm by which the novel suspension was developed.

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Advanced study of tire characteristics and their influence on vehicle lateral stability and untripped rollover threshold

Cited by 21 publications

References 43 publications

A Monte Carlo Parametric Sensitivity Analysis of Automobile Handling, Comfort, and Stability

A Monte Carlo Parametric Sensitivity Analysis of Automobile Handling, Comfort, and Stability

Sliding mode control for overturning prevention and hardware-in-loop experiment of heavy-duty vehicles based on dynamical load transfer ratio prediction

Multi-Criteria Optimization of an Innovative Suspension System for Race Cars

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