Axial-flux induction motors for electric vehicles

Babak DIanati, Solmaz Kahourzade, Amin Mahmoudi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Citations (Scopus)

Abstract

This paper presents design optimization of axial- flux induction motors (AFIMs) for electric vehicles. The approach is based on an analytical resolution of the Maxwellâ™s equations inside a set of subdomains. The analytical method is verified against 2D finite-element analysis. It allows detailed modelling and accurate steady-state performance prediction of AFIMs in a very short time (under 1sec), making possible evaluation of numerous design for the optimization. The optimization effortlessly simulates and predict the performance of various AFIM designs based on driving cycles and vehicle limitations. An optimization based on driving cycle of electric vehicles is studied through considering a driving cycle and designing minimum-mass AFIMs capable of fulfilling it. It is observed that driving-cycle based motor designs benefit from mass reduction and ensures the feasibility of all operating conditions.

Original languageEnglish
Title of host publication2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
Subtitle of host publicationProceedings
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781728112497
DOIs
Publication statusPublished - Oct 2019
Event2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Hanoi, Viet Nam
Duration: 14 Oct 201917 Oct 2019

Publication series

Name2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

Conference

Conference2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
Country/TerritoryViet Nam
CityHanoi
Period14/10/1917/10/19

Keywords

  • Analytical modelling
  • Axial-flux induction motor
  • Driving cycle
  • Electric vehicle
  • Optimization

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