Title
Magnetic Field Prediction in Cubic Spoke-Type Permanent-Magnet Machine Considering Magnetic Saturation
Author
Du, Yunlu (Southeast University)
Huang, Yunkai (Southeast University)
Guo, Baocheng (Nanjing Normal University)
Djelloul-Khedda, Zakarya (Université Djilali Bounaama Khemis Miliana)
Peng, Fei (Southeast University)
Yao, Y. (TU Delft DC systems, Energy conversion & Storage; Southeast University)
Dong, J. (TU Delft DC systems, Energy conversion & Storage) 
Date
2024
Abstract
In this article, a nonlinear semianalytical model (SAM) is presented to predict the magnetic field distribution (MFD) and electromagnetic performances (EPs) in the cubic spoke-type permanent magnet (PM) machine. To model the rectangular PMs, the rectangular PM is simplified as a combination of fan-shaped regions with different arc angles. Then, the MFD and EPs of the cubic spoke-type machines can be obtained by the harmonic modeling technique. Particularly, the saturation of the magnetic bridges is considered by the nonlinear iterative algorithm. The proposed nonlinear SAM is studied on a 12-slot/8-pole cubic PM prototype, and the nonlinear finite element model and experiment verify its correctness. The main contribution of this article is to present a general analytical modeling method for cubic spoke-type PM machines and consider the magnetic saturation of magnetic bridges.
Subject
Cubic spoke-type permanent magnet (PM) machine
harmonic modeling (HM)
magnetic saturation
nonlinear
To reference this document use:
http://resolver.tudelft.nl/uuid:cad1561d-a3fb-4ed7-8856-6693571ec656
DOI
https://doi.org/10.1109/TIE.2023.3265043
Embargo date
2024-04-08
ISSN
0278-0046
Source
IEEE Transactions on Industrial Electronics, 71 (3), 2208-2219
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2024 Yunlu Du, Yunkai Huang, Baocheng Guo, Zakarya Djelloul-Khedda, Fei Peng, Y. Yao, J. Dong