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