Title: Research on power transmission optimisation of dual motor coupling drive for pure electric car based on genetic algorithm

Authors: Qingyong Zhang; XingJian Wu; Yiqing Yuan; Saiyun Xu; Zhenfei Lu

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

Abstract: Based on a pure electric vehicle, we have adopted a new dual motor coupling drive system to realise a smooth switch between the single motor and dual motor modes, without experiencing power interruption, and a switch between dual motor and single motor modes without experiencing power interruption and with minimum impact. Also, the structural characteristics and working mode are analysed, and the parameter matching and control strategy of the new power system are studied. Taking the 100 km power consumption as the optimisation goal, a non-dominated sequencing genetic algorithm (NSGAII) with elite strategy is adopted to optimise the coupling drive system. The results of the experiment show that the control strategy of the dual motor multimode drive system improves the vehicle economy by 12%.

Keywords: new dual motor coupling drive system; mode switching; Cruise; NSGA-II; parameter matching; vehicle economy; elite strategy; no power interruptions.

DOI: 10.1504/IJVSMT.2022.128178

International Journal of Vehicle Systems Modelling and Testing, 2022 Vol.16 No.2, pp.165 - 181

Received: 05 Feb 2021
Accepted: 13 Jul 2021
Published online: 10 Jan 2023 *

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