Multi-objective optimization design of in-wheel switched reluctance motors in electric vehicles

X. D. Xue, Ka Wai Eric Cheng, T. W. Ng, Chow Norbert Cheung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

222 Citations (Scopus)

Abstract

The method of the optimization design with multi-objectives for switched reluctance motors (SRMs) in electric vehicles (EVs) is proposed in this paper. It is desired that electric motors for EVs have high torque, high efficiency, and high torque density. Thus, the developed optimization function is selected as the correct compromise between the maximum average torque, maximum average torque per copper loss, and maximum average torque per motor lamination volume, by using three weight factors and three base values. The stator and rotor pole arc angles are selected as the optimized variables. Furthermore, the authors also discuss the design requirements and some constraints on the optimization design. The results of the optimization design show that the proposed method meets the requirements of EVs on electric motors well. A prototype of the optimally designed in-wheel SRM for EVs has been manufactured. This paper provides a valuable method to implement the optimal design of SRMs for EVs.
Original languageEnglish
Article number5545589
Pages (from-to)2980-2987
Number of pages8
JournalIEEE Transactions on Industrial Electronics
Volume57
Issue number9
DOIs
Publication statusPublished - 1 Sep 2010

Keywords

  • Design
  • electric vehicles
  • in-wheel
  • optimization
  • switched reluctance motors (SRMs)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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