Axial-flux induction motors for electric vehicles

Babak DIanati; Solmaz Kahourzade; Amin Mahmoudi

doi:10.1109/VPPC46532.2019.8952278

Axial-flux induction motors for electric vehicles

Babak DIanati
, Solmaz Kahourzade
, Amin Mahmoudi

College of Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
Subtitle of host publication	Proceedings
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	9781728112497
DOIs	https://doi.org/10.1109/VPPC46532.2019.8952278
Publication status	Published - Oct 2019
Event	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Hanoi, Viet Nam Duration: 14 Oct 2019 → 17 Oct 2019

Publication series

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

Conference

Conference	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
Country/Territory	Viet Nam
City	Hanoi
Period	14/10/19 → 17/10/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

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

Access to Document

10.1109/VPPC46532.2019.8952278Licence: In Copyright

Cite this

DIanati, B., Kahourzade, S., & Mahmoudi, A. (2019). Axial-flux induction motors for electric vehicles. In 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings: Proceedings Article 8952278 (2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VPPC46532.2019.8952278

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DIanati, B, Kahourzade, S & Mahmoudi, A 2019, Axial-flux induction motors for electric vehicles. in 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings: Proceedings., 8952278, 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings, Institute of Electrical and Electronics Engineers, 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019, Hanoi, Viet Nam, 14/10/19. https://doi.org/10.1109/VPPC46532.2019.8952278

Axial-flux induction motors for electric vehicles. / DIanati, Babak; Kahourzade, Solmaz; Mahmoudi, Amin.
2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings: Proceedings. Institute of Electrical and Electronics Engineers, 2019. 8952278 (2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - DIanati, Babak

AU - Kahourzade, Solmaz

AU - Mahmoudi, Amin

PY - 2019/10

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N2 - 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.

AB - 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.

KW - Analytical modelling

KW - Axial-flux induction motor

KW - Driving cycle

KW - Electric vehicle

KW - Optimization

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M3 - Conference contribution

T3 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

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

PB - Institute of Electrical and Electronics Engineers

T2 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019

Y2 - 14 October 2019 through 17 October 2019

ER -

Axial-flux induction motors for electric vehicles

Abstract

Publication series

Conference

UN SDGs

Keywords

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