基于6σ稳健性方法的汽车行驶平顺性优化  

Robustness optimization of ride comfort for vehicle based on 6σ method

作　　者：莫旭辉[1] 赵宇航[1] 钟志华[1] 张义[1] 

机构地区：[1]湖南大学汽车车身先进制造国家重点实验室,湖南长沙410082

出　　处：《中南大学学报（自然科学版）》2012年第11期4286-4292,共7页Journal of Central South University:Science and Technology

基　　金：教育部长江学者与创新团队发展计划项目(531105050037);跃升计划--中国高水平汽车自主创新能力建设项目(2007);湖南大学汽车车身先进设计制造国家重点实验室自主课题安全节能通畅个人概念车研发资助项目(61075002)

摘　　要：建立某轿车11自由度的整车平顺性模型,以各个座椅垂向加速度均方根最小为优化目标,以各个悬架的动行程和各个车轮的相对动载为约束条件,结合蒙特卡罗方法和6σ稳健性优化技术,分别对悬架参数进行多目标确定性优化和稳健性优化,分析设计变量波动对优化结果的影响。优化结果表明:优化后的整车平顺性明显提高;稳健性优化结果比确定性优化结果具有更高的稳健性和可靠性。A car model with 11 degree of freedoms （DOFs） based on ride comfort was built. With the root mean square （RMS） taking each seat＇s acceleration as the optimization objectives, and with the dynamic displacement of each suspension and relative dynamic loads between road and tires as constraint conditions, combined with deterministic multi-objectives optimization method and 6σ robust reliability multi-objectives optimization design method based on Monte Carlo simulation technique, the parameters of suspensions were optimized. The results show that the optimized vehicle＇s ride comfort is greatly improved. The 6σ robust reliability multi-objectives optimization design method can get better optimum solutions with higher robustness and reliability.

关 键 词：平顺性 随机路面 6σ稳健设计 不确定性 

分 类 号：U461.4[机械工程—车辆工程]