DocumentCode :
3257787
Title :
Fuzzy Logic Controller for Electric Vehicle Braking Strategy
Author :
Wang, Xixi ; Cheng, K. W Eric ; Liao, Xiaozhong ; Cheung, Norbert C. ; Dong, Lei
Author_Institution :
Hong Kong Polytech. Univ., Hong Kong
fYear :
2007
fDate :
27-30 Nov. 2007
Firstpage :
1542
Lastpage :
1547
Abstract :
In this paper, the braking strategy is developed for electric vehicle which includes regenerative braking and anti-lock brake system (ABS). Induction motor is used in EV to regenerate kinetic energy. This paper describes the preliminary research and implementation of a fuzzy logic controller to control wheel slip for ABS. The controller is used to enhance the vehicle stability and safety under highly nonlinear and time variant braking conditions. Simulation was used to derive a rule base. The robustness of the fuzzy-logic slip regulator is further tested by applying the resulting controller over a wide range controller over a wide range of operating conditions.
Keywords :
electric vehicles; fuzzy control; induction motors; regenerative braking; anti-lock brake system; electric vehicle braking strategy; fuzzy logic controller; induction motor; regenerate kinetic; regenerative braking; vehicle stability; wheel slip control; Electric vehicles; Fuzzy logic; Induction motors; Kinetic energy; Regulators; Robust control; Stability; Testing; Vehicle safety; Wheels; ABS; Antilock braking system; Electrcial vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Drive Systems, 2007. PEDS '07. 7th International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-0645-6
Electronic_ISBN :
978-1-4244-0645-6
Type :
conf
DOI :
10.1109/PEDS.2007.4487912
Filename :
4487912
Link To Document :
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