基于平顺性与操纵稳定性的悬架系统多目标优化

Multi-objective optimization of suspension system based on vehicle ride comfort and handling stability

针对汽车悬架系统开发设计中行驶平顺性和操纵稳定性两个目标相互矛盾的问题,以某轻型乘用客车后悬架系统为研究对象,建立了汽车悬架系统多目标优化模型。以汽车行驶平顺性、操纵稳定性为优化目标,选择后悬架弹簧刚度、减振器阻尼系数及稳定杆扭转刚度为优化参数,设计了一种基于改进遗传算法NSGA-Ⅱ的悬架系统多目标优化策略。悬架优化前后试验结果表明,本文提出的多目标优化策略在改善汽车行驶平顺性的同时,兼顾了操纵稳定性,具有较好的优化效果。

In view of the trade-off between the handling stability and the ride comfort in the design of the suspension system,taking the rear suspension system of alight passenger bus as a research object,a multi-objective optimization model of the suspension system parameters was established.Taking the handling stability and the ride comfort as the optimization objectives,selecting the suspension spring stiffness,the shock Absorber damping factor and the stabilizer bar torsional stiffness as the optimization variables,a multi-objective optimization strategy based on the improved genetic algorithm NSGA-Ⅱ was designed for the suspension system.The test results show that the proposed optimization approach demonstrated good results in improvement of the vehicle ride comfort without penalty on the handling stability.