vehicle based on road identification

 

 

DUAN Min1, GUO Wen tao1, LI Gang1, YU Qian2

 

(1. Automobile & Transportation Engineering College, Liaoning University of Technology, Jinzhou 121001, China;

 

2. Dalian Equipment Technical College, Dalian 116110, China)

 

 

Abstract: Aiming at the problem of the slip on driving wheel for EV ( Electric Vehicle ) under the condition of low adhesion road, The acceleration slip regulation (ASR) technology was researched for the rear wheel independent drive (RWID) EV. A adaptive fuzzy PID control method based on fuzzy road identification was proposed to improve vehicle stability under ultimate driving condition. Firstly, according to the advantages that the rotational speed and torque of the driving wheels were measured easily, the fuzzy road identification was designed based on the Burckhardt μ S model. According to the vehicle state, road adhesion and optimal slip ratio can be confirmed by the arithmetic of fuzzy road identification. Then, controlled by the adaptive fuzzy PID controller, the drive wheels will working in the vicinity of the optimal slip ratio. At the last, the ASR control method was verified based on the CarSim and Matlab/Simulink co simulation in typical working condition. The results indicate that the fuzzy road identification can identified the road adhesion coefficient and the optimal slip ratio accurately, and the ASR control method based on the fuzzy road identification has a good control effect, which improves vehicle stability and power under extreme condition obviously.

 

Key words: EV (electric vehicle); acceleration slip regulation control; road identification; the optimal slip ratio