DocumentCode :
3052883
Title :
Slip ratio control of independent AWD EV based on fuzzy DSMC
Author :
Guangcai ; Yugong ; Keqiang ; Xiaomin ; Zou ; Luo ; Li, Jonathan ; Lian
Author_Institution :
State Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing
fYear :
2007
fDate :
13-15 Dec. 2007
Firstpage :
1
Lastpage :
6
Abstract :
A slip ratio control method using fuzzy dynamical sliding mode strategy (fuzzy DSMC) is proposed to reduce the slip ratio oscillations in the independent AWD EV traction control. The slip ratios are also accurately estimated in a new way to support this control process. Firstly in this control method, the fuzzy logic method is applied respectively to regulate the switching surface and the reaching law of DSMC with the estimated slip ratios, which are used to weaken the chattering and improve the convergence rate to some extent Furthermore the control structure of DSMC is designed to obtain the smooth torque outputs from all independent traction motors, which are implemented in the anti-skid control for EV in the end. The simulation experiments show that the method can greatly avoid the drawback of control chattering occurred in the classical sliding mode control. Moreover, the robustness of systems for parameter uncertainties is also guaranteed in simulation validation.
Keywords :
electric vehicles; fuzzy control; motor drives; traction motors; variable structure systems; all wheel drive electric vehicle; fuzzy dynamical sliding mode strategy; fuzzy logic method; independent AWD EV; independent traction motors; parameter uncertainties; slip ratio control; switching surface; traction control; Control systems; Fuzzy control; Fuzzy logic; Process control; Robustness; Sliding mode control; Torque control; Traction motors; Uncertain systems; Wheels; Dynamical Sliding Mode; Electric Driving; Fuzzy Logic; Independent AWD; Slip Ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Electronics and Safety, 2007. ICVES. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1265-5
Electronic_ISBN :
978-1-4244-1266-2
Type :
conf
DOI :
10.1109/ICVES.2007.4456400
Filename :
4456400
Link To Document :
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