摘要
为了在良好操纵稳定性的基础上,实现对车辆平顺性的最优化,以某智能四驱SUV为研究对象,利用ADAMS/CAR软件建立刚柔耦合的平顺性虚拟样机模型,在随机路面下进行仿真计算。根据仿真结果对影响平顺性的因素进行灵敏度分析,确定座椅刚度、前悬刚度、前悬阻尼、后悬阻尼为优化变量,座椅平面3个轴向的总加权加速度为优化目标,运用D-最优设计理论进行试验设计。根据实验数据,运用响应面方法(RSM)拟合出回归模型,得到最优值。研究结果表明,优化后得到的加权加速度均方根值减小了20%。
We first build the a virtual prototype of an intelligent 4WD （Four Wheels Drive） SUV which includes both rigid and flexible parts for ride comfort analysis. The system includes random road and driver-seat model. Then, we carry out sensitivity analysis of relative factors and choose the stiffness of seat and front suspension and the damping coefficient of front suspension and rear suspension as the variables and the total root mean square（RMS） of the acceleration as the object function. We design experiment according to D-optimal theory. The object function is estimated by using response surface methodology （RSM）. Optimization result of design factors shows that the ride comfort performance of the car is improved by 20%.
出处
《机械科学与技术》
CSCD
北大核心
2010年第3期373-378,共6页
Mechanical Science and Technology for Aerospace Engineering
基金
国家863计划项目(2007AA04Z122)
教育部长江学者与创新团队发展计划项目(531105050037)资助
