Title: Regenerative braking control strategy optimisation based on hybrid power source and PSO

Authors: Guizhou Ren; Guofei Zhang; Wenpu Shi; Yuanquan Si; Youpeng Duan

Addresses: School of Electromechanical and Automotive Engineering, Yantai University, 30 Qingquan Road Laishan District, Yantai 264005, China ' School of Electromechanical and Automotive Engineering, Yantai University, 30 Qingquan Road Laishan District, Yantai 264005, China ' School of Electromechanical and Automotive Engineering, Yantai University, 30 Qingquan Road Laishan District, Yantai 264005, China ' School of Electromechanical and Automotive Engineering, Yantai University, 30 Qingquan Road Laishan District, Yantai 264005, China ' School of Electromechanical and Automotive Engineering, Yantai University, 30 Qingquan Road Laishan District, Yantai 264005, China

Abstract: How to achieve optimal braking force distribution and improve regeneration efficiency are urgent problems to be solved. A battery/super-capacitor hybrid power source and particle swarm optimization-based control strategy of regenerative braking is designed, which fully considers braking stability and efficiency. The regenerative power is taken as the fitness function, the optimal electric braking force is used as the optimisation goal, to achieve the optimal distribution of the mechanical and electric braking forces of the front axle. A MATLAB/Simulink-AVL Cruise co-simulation model is established, and the simulation studies are carried out under the CLTC, FTP75, and NEDC cycle conditions. The results show the proposed regenerative braking control strategy can effectively improve energy regeneration efficiency while ensuring braking stability, which verifies the effectiveness of the designed scheme. The research results offer the reference for the design of control strategy of regenerative braking for electric vehicles.

Keywords: hybrid power source; regenerative braking; particle swarm optimisation; braking force distribution; variable voltage output; electric vehicle; ECE-R13 regulation line; AVL cruise; joint simulation model.

DOI: 10.1504/IJMMS.2023.132010

International Journal of Mechatronics and Manufacturing Systems, 2023 Vol.16 No.1, pp.37 - 54

Received: 05 Oct 2022
Accepted: 07 Dec 2022
Published online: 06 Jul 2023 *

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