轮毂电机驱动汽车电子差速系统P-模糊PID控制研究  

Research on P-Fuzzy PID Control of Electronic Differential System for In-wheel Motor Drive Vehicle

作　　者：陆文昌[1] 张勇[1] 张厚忠[1] LU Wenchang;ZHANG Yong;ZHANG Houzhong(School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

机构地区：[1]江苏大学汽车与交通工程学院,江苏镇江212013

出　　处：《机械制造与自动化》2017年第6期193-196,共4页Machine Building & Automation

基　　金：江苏省高校自然科学研究面上项目(14KJD580001);江苏省电动车辆驱动与智能控制重点实验室开放研究课题(JLDICEV20150703)

摘　　要：对后轮毂电机驱动电动汽车的电子差速控制策略进行研究,提出了一种基于滑转率控制的P-模糊PID双模态控制方法,建立了整车动力学模型和电机模型,设计了P-模糊PID控制器,降低电动汽车两侧车轮的滑转率,并趋于理想值。利用Matlab/Simulink和Car Sim建立了联合仿真模型。仿真对比了常规的模糊控制方法,结果表明,系统动态响应速度提高,并且没有超调,提升了电动汽车的动力学特性,尤其是在低附着系数路面上的转向及加速行驶时的控制效果更为明显。This paper researches on the differential control strategy of rear in-wheel motor vehicle and proposes a method based on P-Fuzzy PID double dynamic control.Firstly,whole vehicle dynamic model and motor model are established.Then the corresponding P-Fuzzy PID controller is designed to reduce the both sides wheel slip ratio of EV to the ideal value.At last,simulation model is built by using Matlab/Simulink and CarSim.The simulation results show that P-Fuzzy PID control increases the system dynamic response speed without the overshoot and improves the dynamic characteristic of the vehicle,especially the control effect of steering and speeding up on the low adhesion coefficient road.

关 键 词：电动汽车 电子差速 P-模糊PID 滑转率控制 联合仿真 

分 类 号：U469.72[机械工程—车辆工程]