Title: Optimisation analysis of cogging torque of in-wheel motor based on Ansoft parametric modelling for electric vehicles

Authors: Qiping Chen; Hao Shao; Jie Bai; Yuan Xiao; Zhihui Xu

Addresses: Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, Nanchang 330013, China ' Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, Nanchang 330013, China ' School of Automotive Studies, Tongji University, Shanghai, 201804, China ' Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, Nanchang 330013, China ' Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, Nanchang 330013, China

Abstract: To weaken the cogging torque of in-wheel motors of electric vehicles, a method is proposed based on Ansoft parametric modelling, which is used to optimise the cogging torque of in-wheel motors. The cause of cogging torque is theoretically analysed, and a parametric model of the in-wheel motor is established by RMxprt. The five parameters including slot width, slot depth, magnetic pole thickness, pole arc coefficient and number of conductors per slot are parameterised and simulated. The distributions of magnetic line of force, magnetic flux density and waveform curve of induction electromotive force at different times are obtained. The research results show that the method in this paper has a significant effect on the optimisation of cogging torque, and also provides a certain reference value for the optimisation design of cogging torque of in-wheel motors for electric vehicle.

Keywords: electric vehicle; in-wheel motor; Ansoft; parametric modelling; cogging torque.

DOI: 10.1504/IJEHV.2021.123481

International Journal of Electric and Hybrid Vehicles, 2021 Vol.13 No.3/4, pp.289 - 301

Received: 16 Nov 2020
Accepted: 02 Mar 2021
Published online: 23 Jun 2022 *

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