Abstract
Suspension system is one of the key parts of vehicle, the performance of suspension system has great influence on vehicle handling stability and safety. In order to improve the performance of suspension system, the Macpherson suspension of a vehicle is taken as the research object, the suspension model is established by ADAMS/Car, and carried out parallel wheel travel simulation to analyze the key parameters variation of camber angle, toe angle, caster angle, kingpin inclination angle and scrub radius. Simulation results show that camber angle and scrub radius are beyond normal design range and require optimization. Wheel alignment parameters are determined by sensitivity analysis, and optimized by ADAMS/Insight. Then carried out simulation to analyze the performance of optimized suspension system. Results show that optimized suspension system satisfies the requirements of vehicle stability and safety.
Highlights
Suspension system is an elastic device connecting frame and axle of vehicle, which transfer the force or torque between wheel and axle, cushion vibration and impact from ground to the vehicle body, and ensure vehicle normal running [1]
Liang et al [3] determined hard point coordinates which have great influence on the front wheel alignment parameters by sensitivity analysis, and optimized the McPherson front suspension system by genetic algorithm, but it has not analyzed whether the optimized parameters of front suspension system meet the design requirements
According to the requirement of camber angle value –2° to 0.5°during the upward process [15], it can be known that the suspension of micro electric vehicle does not meet the design requirement and needs to be optimized
Summary
Suspension system is an elastic device connecting frame and axle of vehicle, which transfer the force or torque between wheel and axle, cushion vibration and impact from ground to the vehicle body, and ensure vehicle normal running [1]. Liang et al [3] determined hard point coordinates which have great influence on the front wheel alignment parameters by sensitivity analysis, and optimized the McPherson front suspension system by genetic algorithm, but it has not analyzed whether the optimized parameters of front suspension system meet the design requirements. Lu et al [6] established the McPherson front suspension model of a vehicle by ADAMS/Car, and optimized the front suspension structure by Insight module, but hasn’t analyzed the variables which have great influence on wheel alignment parameters.
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