Premium
An adaptive f uzzy sliding‐mode control for regenerative braking system of electric vehicles
Author(s) -
Mei Peng,
Karimi Hamid Reza,
Yang Shichun,
Xu Bin,
Huang Cong
Publication year - 2022
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.3347
Subject(s) - control theory (sociology) , regenerative brake , torque , sliding mode control , slip ratio , electric vehicle , fuzzy logic , control engineering , computer science , slip (aerodynamics) , automotive engineering , engineering , retarder , control (management) , brake , nonlinear system , power (physics) , artificial intelligence , physics , quantum mechanics , thermodynamics , aerospace engineering
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.