Title: Control and optimisation of a dual-motor coupling drive system of pure electric vehicle based on multi-island genetic algorithm

Authors: Qingyong Zhang; Yongjun Luo; Weiping Lin; Yaru Wang; Xingjian Wu

Addresses: School of Mechanical and Automotive Engineering,Fujian University of Technology,Fuzhou 350118, China; and Fujian Key Laboratory of Automotive Electronics and Electric Drive, Fujian University of Technology,Fuzhou 350118, China ' School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou, 350118, China ' School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou, 350118, China ' School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou, 350118, China ' School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou, 350118, China

Abstract: In order to improve the endurance of pure electric vehicles, improving the energy utilisation is an effective way to increase the mileage. Energy utilisation can be effectively improved by using the new structure of dual motor coupling drive system as the power source. In the new structure, the energy utilisation is improved by eight mode switching. In this paper, CRUISE is used to build the vehicle model of pure electric vehicle, its control strategy is established by Simulink. The reliability of the model and control strategy is verified by using CRUISE and Simulink joint simulation method. The preset parameters in the control strategy are optimised by Multi Island Genetic Algorithm, making the model, parameters and control strategy more accurate so as to provide a scheme for the research of improving the energy utilisation rate of pure electric vehicles.

Keywords: dual motor coupling; mode switch; multi island genetic algorithm; joint simulation; energy utilisation rate; braking energy recovery; dynamic and economic requirements; pure electric vehicle; energy consumption; electric vehicle transmission.

DOI: 10.1504/IJEHV.2021.115195

International Journal of Electric and Hybrid Vehicles, 2021 Vol.13 No.1, pp.21 - 37

Received: 08 Feb 2020
Accepted: 22 Apr 2020
Published online: 24 May 2021 *

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