Yixiang Yuan
Analysis of Proximity Loss of Electrical Machines Using Mesh-Based Magnetic Equivalent Circuit
Yuan, Yixiang; Ahmadi Darmani, Mostafa; Bao, Yuli; Zhang, Xiaochen; Gerada, David; Zhang, He
Authors
MOSTAFA AHMADI DARMANI MOSTAFA.AHMADI@NOTTINGHAM.AC.UK
Research Fellow
Yuli Bao
Xiaochen Zhang
DAVID GERADA D.Gerada@nottingham.ac.uk
Professor of Electrical Engineering
He Zhang
Abstract
In high power density machines, proximity loss presents an unavoidable obstacle due to its significant impact on thermal dissipation and insulation aging. To address the need for rapid and accurate proximity loss prediction, this study presents a novel methodology that employs a mesh-based magnetic equivalent circuit (MEC) for calculating proximity loss in electrical machines. Using an existing machine as an example, the proposed approach is applied to various scenarios, yielding results that demonstrate close agreement with both finite element analysis (FEA) and experimental results, validating its effectiveness. Notably, the technique exhibits high flexibility and can be extended to accommodate slots of various shapes. This innovative approach, which involves flux leakage calculation, represents a previously unexplored avenue and could potentially serve as a fundamental basis for expeditious AC loss calculations.
Citation
Yuan, Y., Ahmadi Darmani, M., Bao, Y., Zhang, X., Gerada, D., & Zhang, H. (2024). Analysis of Proximity Loss of Electrical Machines Using Mesh-Based Magnetic Equivalent Circuit. IEEE Transactions on Transportation Electrification, https://doi.org/10.1109/TTE.2024.3383845
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 4, 2024 |
Online Publication Date | Apr 2, 2024 |
Publication Date | Apr 2, 2024 |
Deposit Date | Jul 18, 2024 |
Publicly Available Date | Jul 24, 2024 |
Journal | IEEE Transactions on Transportation Electrification |
Electronic ISSN | 2332-7782 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1109/TTE.2024.3383845 |
Public URL | https://nottingham-repository.worktribe.com/output/33294052 |
Publisher URL | https://ieeexplore.ieee.org/document/10487968 |
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