Title: Optimisation of braking energy recovery for rear-drive electric vehicles based on fuzzy control

Authors: Li Ye; Zhihao Wu; Wenjing Lv

Addresses: School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200000, China ' School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200000, China ' School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200000, China

Abstract: To further improve the utilisation rate of braking energy recovery and ensure the stability and safety of braking, this paper comprehensively considers the braking dynamics and regenerative braking structure to optimise the control strategy of braking energy recovery. Fuzzy controller, regenerative braking module, and regenerative braking model of electric vehicle are established by Matlab/Simulink and AMEsim, respectively. The fuzzy controller is designed, and the classic series and parallel control strategy is compared with the braking control strategy based on fuzzy control. Research shows that compared with the traditional series and parallel control strategies, the fuzzy control strategy has a better effect on braking energy recovery. The braking conversion rate is increased by 11.9% and 21.2%, and the braking recovery rate is increased by 2.78% and 4.96%, respectively, with a better recovery capacity of braking energy. This can increase the vehicle driving range and improve the vehicle energy utilisation.

Keywords: electric vehicle; braking energy recovery; fuzzy control; joint simulation.

DOI: 10.1504/IJVD.2023.134732

International Journal of Vehicle Design, 2023 Vol.92 No.2/3/4, pp.93 - 112

Received: 28 Mar 2022
Received in revised form: 21 Jul 2022
Accepted: 01 Sep 2022
Published online: 09 Nov 2023 *

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