Volume 20, Issue 1 (March 2024)                   IJEEE 2024, 20(1): 32-42 | Back to browse issues page

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Zarghani A, Dehgoshaei P, Torkaman H, Ghaheri A. Precise Loss Estimation and Comprehensive Thermal Analysis of Axial-Field Flux-Switching PM Machine. IJEEE 2024; 20 (1) :32-42
URL: http://ijeee.iust.ac.ir/article-1-2937-en.html
Precise Loss Estimation and Comprehensive Thermal Analysis of Axial-Field Flux-Switching PM Machine
Ali Zarghani , Pedram Dehgoshaei , Hossein Torkaman , Aghil Ghaheri
Abstract:   (1584 Views)
Losses in electric machines produce heat and cause an efficiency drop. As a consequence of heat production, temperature rise will occur which imposes severe problems. Due to the dependence of electrical and mechanical performance on temperature, conducting thermal analysis for a special electric machine that has a compact configuration with poor heat dissipation capability is crucial. This paper aims to carry out the thermal analysis of an axial-field flux-switching permanent magnet (AFFSPM) machine for electric vehicle application. To fulfill this purpose, three-dimensional (3D) finite element analysis is performed to accurately derive electromagnetic losses in active components. Meanwhile, copper losses are calculated by analytic correlation in maximum allowable temperature. To improve thermal performance, cooling blades are inserted on the frame of AFFSPM, and 3D computational fluid dynamics (CFD) is developed to investigate thermal analysis. The effect of different housing materials, the external heat transfer coefficient, and various operating points on the components' temperature has been reported. Finally, 3-D FEA is used to conduct heat flow path and heat generation density.
Keywords: Flux Switching Machine, Cooling System, Computational Fluid Dynamics, Finite Element Analysis, Thermal Analysis.
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Type of Study: ICEMG2023 | Subject: Electronic Devices
Received: 2023/06/12 | Revised: 2024/08/31 | Accepted: 2024/02/16
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.