某轿车的前双横臂独立悬架优化设计

Optimization of Double Wishbone Suspension Independent Suspension for Car

研究某一轿车双横臂独立悬架性能的优化问题,解决前轮定位参数在汽车行驶过程中变化过大而引起的轮胎磨损的加剧以及悬架性能的降低的问题。针对上述问题,在ADAMS/Car上建立了车双横臂独立悬架的动力学模型,运用Insight模块进行灵敏度分析,选取灵敏度较大的硬点参数作为设计变量,建立车轮定位参数在轮跳过程中的最大变化量的响应面近似模型。然后运用差分进化算法与非支配遗传算法的混合多目标算法(简称DE-NSGAII算法)对目标函数进行优化求解。结果表明,优化后的车轮定位参数在车轮跳动过程中的变化量明显减小,悬架的性能得到改善,为悬架的优化设计提供了依据。

The change of wheel alignment parameters is too large in the course of driving, which aggravates tires wear and reduces the performance of suspension. So it is imperative to study the optimization problem of suspension performance. The double wishbone suspension model is built with the software of ADAMS/Car and the sensibility analysis is conducted with Insight module. The parameters with greater sensitivity are selected, the response surface approximate model which can simulate the relationship between design variables and the maximal variation of wheel alignment parameters are established. The optimization problem is solved by the DE-NSGAII Algorithm. The results show that the variation of wheel alignment parameters in the wheel hop is obviously reduced and the performance of suspension is improved.