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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This paper investigates and compares the torque-generating capabilities and electromagnetic performance of advanced non-overlapping winding induction machines (AIM), conventional induction machines (CIM), and interior-permanent magnet (IPM) machines for electric vehicle (EV) applications. All investigated machines are designed based on the specifications of the Toyota Prius 2010 IPM machine. The steady-state and flux-weakening performance characteristics are calculated by employing the 2D finite element method and MatLab, and the obtained results are quantitatively compared. Furthermore, the torque-generating capabilities of three machines are investigated for different electric loadings, and the machine having the highest torque-generating capability is determined as AIM. Moreover, the major parameters affecting the torque-generating capability, such as magnetic saturation and magnet demagnetization, are examined in depth.

Details

Title
Comparative Study of Permanent Magnet, Conventional, and Advanced Induction Machines for Traction Applications
Author
Gundogdu, Tayfun 1   VIAFID ORCID Logo  ; Zi-Qiang Zhu 2   VIAFID ORCID Logo  ; Chan, Ching Chuen 3 

 Department of Electrical and Electronic Engineering, Hakkari University, Zeynel Bey Campus, Keklikpinar, Pinarlar Cd., 30000 Hakkari, Turkey; [email protected]; Department of Electronic and Electrical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK 
 Department of Electronic and Electrical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK 
 Department of Electronic and Electrical Engineering, The University of Hong Kong, Hong Kong, China; [email protected] 
First page
137
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20326653
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2706423961
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.