Study of High Speed SRM Using Vector Control for Electric Vehicle

K. Aiso, M. Takahashi, K. Akatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In order to realize downsizing motor in an electric vehicle (EV), the high speed motor is effective. Switched Reluctance Motor (SRM)is suitable for the high speed drive because the rotor has simple and robust structure. However, as a disadvantage, the vibration and the acoustic noise are large. Moreover, the complicated unipolar current excitation results in the difficulty of the torque controller design. To overcome these problems, the vector control has been proposed for SRM. However, the vector control has not been applied to the SRM in the high speed region. In this paper, the drive conditions such as switching frequency, bus voltage to apply the vector control to the SRM in the high speed region are clarified. It is shown by the experiment that the proposed SRM can be driven by the vector control in the high speed region and can realize the high output power and low vibration.

Original languageEnglish
Title of host publicationICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788957083130
Publication statusPublished - 2019 May
Externally publishedYes
Event10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia - Busan, Korea, Republic of
Duration: 2019 May 272019 May 30

Publication series

NameICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia

Conference

Conference10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia
Country/TerritoryKorea, Republic of
CityBusan
Period19/5/2719/5/30

Keywords

  • High speed drive
  • Switched reluctance motor
  • Vector control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

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