An adaptive fuzzy sliding‐mode control for regenerative braking system of electric vehicles

Summary This article proposes a novel fuzzy sliding‐mode control scheme under an adaptive control strategy for energy management mechanism in electric vehicles that are subject to a regenerative braking system. The effectiveness of the fuzzy logic controller is to adjust the sliding mode parameters...

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Bibliographic Details
Published inInternational journal of adaptive control and signal processing Vol. 36; no. 2; pp. 391 - 410
Main Authors Mei, Peng, Karimi, Hamid Reza, Yang, Shichun, Xu, Bin, Huang, Cong
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 01.02.2022
Subjects
Adaptive control
Algorithms
Braking systems
Control algorithms
Control methods
Control theory
Electric vehicles
Energy management
Energy recovery
Fuzzy control
Fuzzy logic
fuzzy logic control
Regenerative braking
regenerative braking system
sliding‐mode control
Slip
Torque
Tracking errors
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Summary:Summary This article proposes a novel fuzzy sliding‐mode control scheme under an adaptive control strategy for energy management mechanism in electric vehicles that are subject to a regenerative braking system. The effectiveness of the fuzzy logic controller is to adjust the sliding mode parameters according to the slip ratio tracking error between the optimal slip ratio and the actual slip ratio. Specifically, the proposed torque distribution strategy can integrate the best battery condition and energy recovery efficiency under the practical constraints through this control method by fixing the pneumatic braking torque and motor torque. Finally, an electric vehicle model is established in the Simulink environment to verify the applicability of the proposed control algorithm.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0890-6327
1099-1115
DOI:10.1002/acs.3347