基于响应面方法的车辆多目标协同优化

Multi-objective collaborative optimization of vehicle based on response surface methodology

建立包含7个子系统的某整车动力学仿真模型,以整车的操纵稳定性和行驶平顺性达到最佳匹配为目标,整车的悬架刚度和减震器的阻尼以及稳定杆的扭转刚度为优化变量,在ADAMS/CAR环境下进行仿真。根据中国汽车行业标准QC/T 480—1999和GB/T 4970—2006,分别以操纵稳定性的4个闭环评价指标和平顺性的随机路面评价指标的综合计分为目标函数,以相应计分的最大、最小值作为约束函数建立协同优化的数学模型。然后采用中心复合试验方法设计59组试验,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。仿真结果表明该优化方法使汽车的综合计分提高了13%,操纵稳定性和平顺性同时得到优化。

The full vehicle dynamics virtual prototype which included 7 subsystems was established to simulate using ADAMS/CAR, with the best match between handling stability and the ride comfort performance of the car as the object, taking the stiffness and damping of the suspension, the torsion stiffness of anti-roll bar as the optimization variables. According to the Chinese automotive industry standard QC/T 480--1999 and GB/T 4970--2006, it built the corresponding mathematic model of collaborative optimization which used the total score of the comprehensive evaluation indexes include of the four closed-loop handling stability and ride comfort evaluation of random road as the objective function, used the maximum or the minimum score as a constraint function. Then 59 groups test was designed using central composite test method and the total score was estimated by using response surface methodology （RSM）. Optimization result of design factors shows that the total score of the full vehicle improves by 13%, and handling stability and the ride comfort performance both are improved.