摘要
以某电动汽车麦弗逊式前悬架为研究对象,运用多体动力学软件ADAMS/Car建立悬架系统虚拟样机试验模型,得出双轮同向激励下的仿真结果;选用改进型非支配排序遗传算法NSGA-Ⅱ对悬架系统进行多目标优化,得到定位参数Pareto最优解集,表明悬架结构设计的合理性。将优化前后的麦弗逊悬架仿真装配到整车中进行转向回正性试验,得出操纵稳定性仿真曲线。结果表明,优化后的悬架系统运动特性良好,有效提高了整车的操纵稳定性。
The McPherson suspension of an electric vehicle is taken as the object of study.The virtual prototype test model of the suspension system is established by using ADAMS/Car software,and the simulation results of parallel wheel travel experience are obtained.The improved non-dominated sorting genetic algorithm NSGA-Ⅱis applied on the suspension system for optimization calculation to obtain the Pareto optimal solution.The rationality of designed suspension structure is also indicated.The McPherson suspensions of initial design and optimum design are assembled to the vehicle to have a test of the steering returnability simulation and the curves of handling stability are obtained.The results show that the optimized suspension system has good performance of mobility and improves the handling stability of the vehicle.
出处
《金陵科技学院学报》
2017年第3期6-9,67,共5页
Journal of Jinling Institute of Technology
基金
江苏省高校品牌专业建设工程资助项目(PPZY2015C219)
江苏省现代教育技术研究课题(2015-R-42305)
