基于轮胎磨损的悬架与转向系统硬点优化

Hard-points Optimization of Suspension and Steering Systems Based on Tire Wear

基于轮胎磨损理论,定量分析前轮定位参数和阿克曼误差对轮胎磨损的影响。在Adams/Car模块中建立前悬架与转向系模型,运用Insight模块进行灵敏度分析,选择合适硬点坐标拟合前轮定位参数和阿克曼误差的响应面函数。建立相关约束函数和目标函数,并运用Matlab软件进行硬点坐标优化。结果表明,车轮外倾角变化减少27.65%,前束角变化曲线变得更为合理,且阿克曼误差均方根值减少14.7%,有效减少了轮胎磨损。

The effects of alignment parameters and Ackerman error on tire wear are quantitatively analyzed based on tire wear theory. The models for front suspension and steering systems are built with Adams/Car module, a sensibility analysis is conducted with Insight module, and the response surface functions for alignment parameters and Ackerman error are fitted by the coordinates of hard points properly selected. The corresponding constraint and objective functions are set up and the coordinates of hard points are optimized with Matlab software. The results show that the variation of wheel camber and the root mean square of Ackerman error reduce by 27.65% and 14.7% respectively, and the toe angle curve is changed to be more reasonable. All these lead to an effective reduction in tire wear.