Modeling and optimizing method for axial flux induction motor of electric vehicles

Axial flux induction motors have attracted attention in electric vehicles due to their advantages over conventional motors, including higher efficiency, compact structure, high utilization of materials, and good ventilation and cooling. This paper provides a fast design method for two-stator-one-rot...

Full description

Bibliographic Details
Main Authors: Mei, Jie, Zuo, Yuefei, Lee, Christopher Ho Tin, Kirtley, James L.
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/154485
_version_ 1826121722207666176
author Mei, Jie
Zuo, Yuefei
Lee, Christopher Ho Tin
Kirtley, James L.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Mei, Jie
Zuo, Yuefei
Lee, Christopher Ho Tin
Kirtley, James L.
author_sort Mei, Jie
collection NTU
description Axial flux induction motors have attracted attention in electric vehicles due to their advantages over conventional motors, including higher efficiency, compact structure, high utilization of materials, and good ventilation and cooling. This paper provides a fast design method for two-stator-one-rotor axial flux induction motor of electric vehicle applications. The proposed method consisting of an accurate motor analytical model and a design variables optimization method based on genetic algorithm. Unlike traditional design of axial flux induction motor with single objective, multi-objective is considered in this work. Based on the proposed method, the performance of axial flux induction motor can be simulated and optimized in much shorter time compared with finite element analysis in ANSYS Maxwell. The comparison results from ANSYS Maxwell can prove the effectiveness and accuracy of the proposed method, and the performance of the final designed motor can meet all the design requirements.
first_indexed 2024-10-01T05:36:50Z
format Journal Article
id ntu-10356/154485
institution Nanyang Technological University
language English
last_indexed 2024-10-01T05:36:50Z
publishDate 2021
record_format dspace
spelling ntu-10356/1544852021-12-23T06:55:01Z Modeling and optimizing method for axial flux induction motor of electric vehicles Mei, Jie Zuo, Yuefei Lee, Christopher Ho Tin Kirtley, James L. School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Axial Flux Induction Motor Optimization Axial flux induction motors have attracted attention in electric vehicles due to their advantages over conventional motors, including higher efficiency, compact structure, high utilization of materials, and good ventilation and cooling. This paper provides a fast design method for two-stator-one-rotor axial flux induction motor of electric vehicle applications. The proposed method consisting of an accurate motor analytical model and a design variables optimization method based on genetic algorithm. Unlike traditional design of axial flux induction motor with single objective, multi-objective is considered in this work. Based on the proposed method, the performance of axial flux induction motor can be simulated and optimized in much shorter time compared with finite element analysis in ANSYS Maxwell. The comparison results from ANSYS Maxwell can prove the effectiveness and accuracy of the proposed method, and the performance of the final designed motor can meet all the design requirements. 2021-12-23T06:55:01Z 2021-12-23T06:55:01Z 2020 Journal Article Mei, J., Zuo, Y., Lee, C. H. T. & Kirtley, J. L. (2020). Modeling and optimizing method for axial flux induction motor of electric vehicles. IEEE Transactions On Vehicular Technology, 69(11), 12822-12831. https://dx.doi.org/10.1109/TVT.2020.3030280 0018-9545 https://hdl.handle.net/10356/154485 10.1109/TVT.2020.3030280 2-s2.0-85096237227 11 69 12822 12831 en IEEE Transactions on Vehicular Technology © 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
spellingShingle Engineering::Electrical and electronic engineering
Axial Flux Induction Motor
Optimization
Mei, Jie
Zuo, Yuefei
Lee, Christopher Ho Tin
Kirtley, James L.
Modeling and optimizing method for axial flux induction motor of electric vehicles
title Modeling and optimizing method for axial flux induction motor of electric vehicles
title_full Modeling and optimizing method for axial flux induction motor of electric vehicles
title_fullStr Modeling and optimizing method for axial flux induction motor of electric vehicles
title_full_unstemmed Modeling and optimizing method for axial flux induction motor of electric vehicles
title_short Modeling and optimizing method for axial flux induction motor of electric vehicles
title_sort modeling and optimizing method for axial flux induction motor of electric vehicles
topic Engineering::Electrical and electronic engineering
Axial Flux Induction Motor
Optimization
url https://hdl.handle.net/10356/154485
work_keys_str_mv AT meijie modelingandoptimizingmethodforaxialfluxinductionmotorofelectricvehicles
AT zuoyuefei modelingandoptimizingmethodforaxialfluxinductionmotorofelectricvehicles
AT leechristopherhotin modelingandoptimizingmethodforaxialfluxinductionmotorofelectricvehicles
AT kirtleyjamesl modelingandoptimizingmethodforaxialfluxinductionmotorofelectricvehicles