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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

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Authors

Yixiang Yuan

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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