基于ADAMS的麦弗逊悬架运动学优化

The Optimization of McPherson Suspension's Kinematics Based on ADAMS

悬架运动学的优化是汽车底盘开发中的重要内容,目前商用动力学软件并没有专门针对悬架运动学的优化方法,多采用试凑法或实验设计方法。应用Adams/Insight工具进行灵敏度分析并确定适当的硬点坐标为优化变量。选用一种适合悬架运动学优化的牛顿迭代法对优化变量进行优化。该方法能快速的找出所需调整的设计变量,并快速有效的找到最优解,适合多目标优化。针对某样车前麦弗逊悬架前束角及外倾角存在的问题,应用该方法对目标函数影响较大的硬点坐标值进行优化,仿真结果表明:该麦弗逊悬架的运动学性能得到了有效改善。

The optimization of vehicle suspension kinematics is an important part to the chassis development. The current business dynamic software had not suitable optimization algorithm for suspension kinematics, and trial- and-error or experimental design method was used for it mostly. Adams/Insight tools for sensitivity analysis and de- termined the appropriate hard points as the optimization variables are used, and then selected Newton iteration method for suspension＇ s kinematics optimization. This method can quickly identify variables, and efficiently find the optimal solution for multi-objective optimization. Aiming at front McPherson suspension＇ s problems in toe angle and camber angle, after the optimization, the simulation results show that ： the McPherson suspension＇ s kinematics performance is effectively improved.