Optimal control method of motoring operation for SRM drives in electric vehicles

X. D. Xue, Ka Wai Eric Cheng, J. K. Lin, Z. Zhang, K. F. Luk, T. W. Ng, Chow Norbert Cheung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

94 Citations (Scopus)

Abstract

This paper presents three criteria for evaluating the motoring operations of switched reluctance motor (SRM) drives for electric vehicles (EVs). They imply motoring torque, copper loss, and torque ripple, respectively. The effects of the turn-off and turn-on angles on these criteria are investigated under hysteresis current control. To fulfill the best motoring operation, consequently, the multiobjective optimization function is developed by using three weight factors and three groups of base values: the correct balance between the maximum average torque, the maximum average torque per root mean square current, and the maximum torque smoothness factor. The study in this paper shows that the turn-off and the turn-on angles can be optimized to maximize the developed multiobjective function. In addition, the control method for the best motoring operation of SRM drives in EVs is proposed. In this method, two angular controllers are proposed to automatically tune the turn-off and turn-on angles to obtain high motoring torque, low copper loss, and low torque ripple. Simulations and experimental results have demonstrated the proposed optimal control method. Therefore, this paper offers a valuable and feasible approach for implementing the best motoring operation of SRM drives for EVs.
Original languageEnglish
Article number5395644
Pages (from-to)1191-1204
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Volume59
Issue number3
DOIs
Publication statusPublished - 1 Mar 2010

Keywords

  • Control
  • Electric vehicles (EVs)
  • Optimization
  • Switched reluctance motor (SRM) drives

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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