DocumentCode :
2706623
Title :
Fuzzy logic control in regenerative braking system for electric vehicle
Author :
Zhang, Hao ; Xu, Guoqing ; Li, Weimin ; Zhou, Meilan
Author_Institution :
Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear :
2012
fDate :
6-8 June 2012
Firstpage :
588
Lastpage :
591
Abstract :
In this paper a regenerative braking energy recovery control strategy for electric vehicle (EV) based on fuzzy logic control is proposed. By analyzing the characteristic and the influence factors of the regenerative braking, the sugeno fuzzy logic controller (FLC) is established. Under assurance of braking safety and stability, the strategy distributes regenerative braking force and frictional braking force reasonably during braking, to make use of regenerative braking characteristic of motor as much as possible, so that much more kinetic energy can be converted into electric energy and stored in the battery. Model based on fuzzy logic control was established under the Matlab/Simulink environment and embedded into simulation software ADVISOR. Simulation experiments with different driving cycles were carried out, and the feasibility and effectiveness of fuzzy logic control strategy is tested with the state of charge (SOC) and braking energy recovery.
Keywords :
electric vehicles; fuzzy control; regenerative braking; road traffic control; traffic engineering computing; FLC; Matlab/Simulink environment; SOC; Sugeno fuzzy logic controller; braking safety; driving cycle; electric energy; electric vehicle; frictional braking force; kinetic energy; regenerative braking energy recovery control; regenerative braking force; simulation software ADVISOR; stability; state of charge; Batteries; Force; Fuzzy logic; Simulation; System-on-a-chip; Vehicles; Energy recover; Fuzzy logic control; Regenerative braking; State of charge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
Type :
conf
DOI :
10.1109/ICInfA.2012.6246881
Filename :
6246881
Link To Document :
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