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
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