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Title: Matching and optimisation of an in-wheel tri-motor powertrain for electric vehicles

Authors: Hongyu Shu; Xingpeng Diao; Yexing Liao; Qiping Chen

Addresses: State Key Lab of Mechanical Transmission, Chongqing University, Chongqing 400044, China ' State Key Lab of Mechanical Transmission, Chongqing University, Chongqing 400044, China ' State Key Lab of Mechanical Transmission, Chongqing University, Chongqing 400044, China ' Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China

Abstract: As an important development direction of electric vehicles (EVs), the in-wheel motor powertrain has advantages of compact structure and flexible control, although there are some serious problems, such as high performance requirements to the drive motor and complex control strategies. To address these problems, a novel in-wheel tri-motor powertrain (IWTMP) is proposed at first, followed by the introduction of configuration and operating principles. Afterwards, vehicle power demand is calculated based on vehicle parameters and dynamic performance requirements, and a statistical analysis for typical driving cycles is carried out before conducting parameters matching for the IWTMP. Next, an optimisation for original parameters is achieved with an objective function of minimum total power of the IWTMP. Finally, a detailed IWTMP EV model is developed in CRUISE, and simulation results indicate that the IWTMP meets the dynamic performance requirements and efficiently reduces the energy consumption compared with an in-wheel single motor powertrain (IWSMP).

Keywords: electric vehicles; in-wheel motor; driving cycles; statistical analysis; parameters matching; optimisation; simulation; CRUISE; dynamic performance; economic performance.

DOI: 10.1504/IJEHV.2018.093067

International Journal of Electric and Hybrid Vehicles, 2018 Vol.10 No.1, pp.26 - 40

Available online: 26 Jun 2018 *

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