Title: Optimisation method and performance evaluation of a novel dual-motor multi-mode coupling powertrain for electric vehicles

Authors: Wei Du; Shengdun Zhao; Jingzhou Gao

Addresses: School of Mechanical Engineering, Xi'an Jiaotong University Xi'an, Shaanxi, 710049, China ' School of Mechanical Engineering, Xi'an Jiaotong University Xi'an, Shaanxi, 710049, China ' School of Mechanical Engineering, Xi'an Jiaotong University Xi'an, Shaanxi, 710049, China

Abstract: With a certain battery capacity, the mileage of an electric vehicle depends on the efficiency of the powertrain. In this paper, a novel dual-motor multi-mode coupling powertrain (DMMCP) is proposed. This paper compares it with the traditional powertrain composed of a single-motor and two-speed transmission (SMTSP). To make a fair comparison, the influence of component parameters on the powertrain must be considered. So this paper proposes a method which can evaluate the dynamic or economic performance at the same time of parameter optimisation. Then the dynamic performance and economy of the two powertrains are evaluated respectively. The results show that the dynamic performance and economy of DMMCP are better than SMTSP, so DMMCP has enormous development potential.

Keywords: DMMCP; dual-motor multi-mode coupling powertrain; electric vehicles; dynamic programming; NSGA_II.

DOI: 10.1504/IJVD.2022.128761

International Journal of Vehicle Design, 2022 Vol.89 No.3/4, pp.256 - 270

Accepted: 24 Aug 2021
Published online: 03 Feb 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article