基于全局响应面法的电动汽车车架多目标优化  

Multi-Objective Optimization of Electric Vehicle Frame Based on GRSM

作　　者：尹安东[1] 曹诚[1] 徐俊波[1] 龚来智 

机构地区：[1]合肥工业大学机械与汽车工程学院,合肥230009

出　　处：《汽车科技》2014年第5期8-11,共4页Auto Sci-Tech

基　　金：国家"863"节能与新能源汽车重大专项(编号:2012AA111401)资助项目;安徽省自然科学基金(编号:1208085ME78)资助项目

摘　　要：对电动汽车车架进行有限元分析,在此基础上选取车架前部、后部、副车架部分的尺寸厚度以及这三个部分的肋板的厚度作为设计变量,运用全局响应面法(Global Response Surface Method,GRSM)以一阶模态频率大于32 Hz作为约束,对车架的扭转刚度、弯曲刚度和总质量进行多目标优化,获取Pareto最优解集,给出优化备选方案和建议。Finite element analysis of an electric vehicle frame was taken, and a multiobjective optimization was implemented by global responsible surface method, in which the objectives are to maximize the torsional stiffness and the bending stiffness, minimize the total mass, the constraints are to keep the first-order natural frequency larger than 32 Hz, the design variables are the thicknesses of front frame, rear frame, the subframe and their ribs. Then the Pareto optimal solution set was obtained for optimizing choice, and the optimizing options and proposal were given.

关 键 词：电动汽车 车架 全局响应面法 多目标优化 

分 类 号：U469.72[机械工程—车辆工程]