Optimal Slip Ratio Based Fuzzy Control of Acceleration Slip Regulation for Four-Wheel Independent Driving Electric Vehicles

被引：22

作者：

Yin, Guodong ^{[1
,2
]}

Wang, Shanbao ^{[1
]}

Jin, Xianjian ^{[1
]}

机构：

[1] Southeast Univ, Sch Mech Engn, Nanjing 211189, Jiangsu, Peoples R China

[2] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2013年 / 2013卷

基金：

美国国家科学基金会;

关键词：

Fuzzy control;

D O I：

10.1155/2013/410864

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

To improve the driving performance and the stability of the electric vehicle, a novel acceleration slip regulation (ASR) algorithm based on fuzzy logic control strategy is proposed for four-wheel independent driving (4WID) electric vehicles. In the algorithm, angular acceleration and slip rate based fuzzy controller of acceleration slip regulation are designed to maintain the wheel slip within the optimal range by adjusting the motor torque dynamically. In order to evaluate the performance of the algorithm, the models of the main components related to the ASR of the four-wheel independent driving electric vehicle are built in MATLAB/SIMULINK. The simulations show that the driving stability and the safety of the electric vehicle are improved for fuzzy logic control compared with the conventional PID control.

引用

页数：7

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