Control strategy for four-wheel independent drive electric vehicles under failure of motor drive systems

Author:

Xin Xiaoshuai1,Zheng Hangen1,Xu Hongbing1,Qin Gang1

Affiliation:

1. Automation Engineering, University of Electronic Science and Technology of China, China

Abstract

Four-wheel independent drive electric vehicle cannot follow the driver’s command when one or more motor drive systems fail, which may lead to some serious accidents when the vehicle is running. In order to deal with this problem, a control strategy is proposed in this paper to maintain the stability of 4WID electric vehicle under the failure of motor drive systems. Firstly, failure states of motor drive systems are analysed and classified into Failure-Driving mode and Failure-Stopping mode according to the ability of the vehicle to drive safely. Secondly, a two-layer-control model is designed to maintain the vehicle performance and stability by controlling the remaining normal working motor drive systems for Failure-Driving mode. Thirdly, a control algorithm is designed to help the driver stop the vehicle safely in Failure-Stopping mode. Simulation based on Matlab/Simulink and veDYNA demonstrate that the proposed control strategy can maintain the stability of the 4WID electric vehicle in both Failure-Driving mode and Failure-Stopping mode.

Publisher

SAGE Publications

Subject

Instrumentation

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1. Research on failure classification and control strategy of four-wheel independent drive electric vehicle drive system;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2021-11-22

2. Electromechanical composite brake control for two in-wheel motors drive electric vehicle with single motor failure;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2019-07-21

3. Fault-tolerant control for in-wheel-motor-driven electric ground vehicles in discrete time;Mechanical Systems and Signal Processing;2019-04

4. Decoupling control of steering and driving system for in-wheel-motor-drive electric vehicle;Mechanical Systems and Signal Processing;2018-02

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