A Proposal of Hybrid Excitation Variable Flux Memory Motor Having Field Winding with Magnetization Function in the Rotor

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

1 Citation (Scopus)

Abstract

This paper proposes a novel hybrid excitation variable flux memory motor (HE-VFMM) combining the hybrid excitation motor (HEM) and the variable flux memory motor (VFMM). Variable flux motor can be classified by their configuration into such as the VFMM and the HEM. However, both motors respectively have challenging points to solve in traction applications. The proposed HE-VFMM combined HEM with VFMM has potential to improve the problems and drawbacks of conventional VFMMs and HEMs. In addition, the proposed HE-VFMM offers higher efficiency than that of conventional HEM and an IPMSM mounted in Prius 4th-generation over a wide operating area. In this research, comprehensive characteristics of the proposed HE-VFMM are investigated. Finally, advantages of the proposed HE-VFMM are shown by comparison to the conventional HEM and the IPMSM mounted in Prius 4th-generation.

Original languageEnglish
Title of host publication2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193878
DOIs
Publication statusPublished - 2022
Event2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States
Duration: Oct 9 2022Oct 13 2022

Publication series

Name2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/TerritoryUnited States
CityDetroit
Period10/9/2210/13/22

Keywords

  • efficiency
  • electric vehicle
  • hybrid excitation motor
  • traction application
  • Variable flux memory motor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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