基于全局响应面法的电动轿车白车身多目标优化  

Multi-objective optimization of electric vehicle body in white based on GRSM

作　　者：尹安东[1] 许靖[1] 曹诚[1] 

机构地区：[1]合肥工业大学机械与汽车工程学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2015年第12期1607-1611,1616,共6页Journal of Hefei University of Technology：Natural Science

基　　金：国家"863"节能与新能源汽车重大专项资助项目(2013BAG08B01)

摘　　要：文章在分析电动轿车车身结构的基础上,采用HyperWorks软件,建立了某款电动轿车白车身有限元模型,并对其进行了扭转刚度分析、弯曲刚度分析、自由模态分析;在此基础上通过灵敏度分析选出顶盖、前地板、后地板、侧围外板、外挡泥板、后轮罩、地板纵梁的板厚作为优化变量,以一阶模态避开路面对汽车的激励频率(大于25Hz)及扭转刚度满足设计要求为约束,以白车身总质量、弯曲刚度为优化目标,运用全局响应面法进行多目标优化,以获得较好的改进方案。Based on the analysis of electric vehicle body structure, and using HyperWorks software, the finite element model of body in white of an electric car was established, and the torsional and bending stiffness analysis and the free modal analysis were conducted. The thickness of the roof, front floor, rear floor, side outer plate, outer fender, rear cover and longitudinal beam of floor was selected as optimization variables through the sensitivity analysis. With the first-order modal frequency over 25 Hz to avoid road excitation frequency to vehicle and the torsional stiffness meeting the design requirements as constraints, and with the total weight and bending stiffness of body in white as the optimization goal, the multi-objective optimization was done by using the global response surface method （GRSM） to obtain a better improvement solution.

关 键 词：电动汽车 白车身 全局响应面法 多目标优化 

分 类 号：U463.821[机械工程—车辆工程]