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Optimum design of a regenerative braking system for electric vehicles based on fuzzy control strategy
Author(s) -
Cao Xihang,
Ishikawa Takeo
Publication year - 2016
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22254
Subject(s) - regenerative brake , matlab , automotive engineering , fuzzy control system , fuzzy logic , taguchi methods , energy (signal processing) , engineering , software , control (management) , stability (learning theory) , computer science , control engineering , control theory (sociology) , artificial intelligence , mathematics , statistics , brake , machine learning , programming language , operating system
A regenerative braking system (RBS) can prolong the driving distance of electric vehicles by converting mechanical energy into electric energy. In this paper, an RBS based on fuzzy control strategy is proposed. By analyzing the characteristics of all factors, under the assurance of safety and stability during braking conditions, a fuzzy control model was established in the MATLAB/SIMULINK environment and verified by using simulation software Advisor2002. In order to recover more energy, the control model was optimized by the Taguchi method, and a new fuzzy control model was established and simulated. The simulation results show that by using the optimized fuzzy control system, more braking energy can be recovered and that the energy recovery efficiency can be increased. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.