电动汽车轮毂电机-多连杆悬架系统设计与优化  

Design and Optimization of In-Wheel Motor and Multi-Link Suspension of Electric Vehicle

作　　者：王冬良[1] 陈南[2] 秦洪艳[1] WANG Dong-liang;CHEN Nan;QIN Hong-yan(School of Mechanical and Electrical Engineering,Sanjiang University,Jiangsu Nanjing210012,China;School of Mechanical Engineering,Southeast University,Jiangsu Nanjing211189,China)

机构地区：[1]三江学院机械与电气工程学院,江苏南京210012 [2]东南大学机械工程学院,江苏南京211189

出　　处：《机械设计与制造》2020年第5期224-227,共4页Machinery Design & Manufacture

基　　金：江苏省高校自然科学研究基金资助项目(16KJB580007);江苏省高校“青蓝工程”资助项目;江苏省高校高级访问学者计划资助项目。

摘　　要：基于传统车辆的多连杆悬架结构以及轮毂电机的结构设计了一种适用于直驱式电动汽车的轮毂电机-多连杆悬架系统。建立了数学模型、运动学仿真模型,验证了模型的准确性。基于构建的多连杆悬架模型,结合NSGA-Ⅱ算法,提出了轮毂电机-多连杆悬架系统的多目标优化方法,以悬架硬点为设计变量,对悬架的定位参数进行多目标优化并获得了Pareto最优解集。研究结果表明:优化后的悬架定位参数得到了改善,减少了轮胎磨损、车轮横向偏移的现象,提高了车辆的操纵稳定性,显著提高了悬架运动特性。Based on the multi-link suspension structure and the structure of in-wheel motor of the traditional vehicle,this research designed an in-wheel and multi-link suspension system suitable for direct-drive EV,established a mathematical model and kinematics simulation model and verified their accuracy. This study proposed a multi-objective optimization of the in-wheel motor and multi-link suspension system with the NSGA-II algorithm on the basis of the constructed multi-link suspension model. It took the suspension hard points as the design variables and conducted multi-objective optimization for the suspension positioning parameters,obtaining the Pareto optimal solution set. The results show that the optimized suspension positioning parameters have been improved,which reduces the tire wear and wheel lateral deviation,improves the vehicle handing stability and significantly improves the suspension motion features.

关 键 词：轮毂电机 多连杆悬架 NSGA-Ⅱ算法 优化 

分 类 号：TH16[机械工程—机械制造及自动化] U463[机械工程—车辆工程]