STABILITY CONTROL STRATEGY FOR IN-WHEEL-MOTOR-DRIVE ELECTRIC VEHICLE BASED ON dSPACE

Zhang Chuanwei, Zhang Dongsheng, Wang Rui, Zhang Rongbo, and Wen Jianping

Keywords

Stability control, fuzzy-PID, in-wheel-motor, dSPACE, hardware-in-the-loop

Abstract

Aiming at the stability control of in-wheel-motor-drive electric vehicle, one yaw moment control algorithm based on fuzzy-PID was proposed. As a comparison object and further verification, the fuzzy-control-based controller and the dSPACE-based hardware-in-the-loop simulation platform for experimental verification were established. After the co-simulation of Simulink and CarSim, the control strategy was downloaded into the MicroAutoBox real-time hardware through RTI under the same conditions as software simulation to achieve the further verification on hardware-in-the-loop simulation. The results of both simulation experiments showed that the fuzzy-PID-based stability control strategy proposed in this paper can better improve the manoeuvrability and driving smoothness of the whole vehicle compared with traditional fuzzy control. The accuracy and response speed of the whole vehicle motion control were greatly improved, which proved the effectiveness and superiority of the stability control strategy.

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