Nisarg Dave
Accurate FEA Modeling Approach for Calculating AC Copper Loss for Random Windings
Dave, Nisarg; Gerada, David; Langlois, Paul; Lawton, Andrew; Patel, Rupesh; Gerada, Chris
Authors
Professor DAVID GERADA D.Gerada@nottingham.ac.uk
PROFESSOR OF ELECTRICAL ENGINEERING
Paul Langlois
Andrew Lawton
Rupesh Patel
Professor CHRISTOPHER GERADA CHRIS.GERADA@NOTTINGHAM.AC.UK
PROFESSOR OF ELECTRICAL MACHINES
Abstract
With increased interest in transportation electrification, the accurate modelling and analysis technique of AC copper loss plays a crucial role in the design. The distributed wound stator is dominant in electric car motors due to their suitable characteristic in the electric powertrain. The random wound-distributed windings are considered in this paper to analyze AC copper loss. The paper shows a case study with two different methods to calculate the AC copper loss for random windings and discusses each method’s merits and demerits. The first method uses a pure magnetic solver or decoupled approach, while the second uses a coupled magnetic and circuit solver.
Citation
Dave, N., Gerada, D., Langlois, P., Lawton, A., Patel, R., & Gerada, C. (2023, November). Accurate FEA Modeling Approach for Calculating AC Copper Loss for Random Windings. Presented at 2023 26th International Conference on Electrical Machines and Systems (ICEMS), Zhuhai, China
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | 2023 26th International Conference on Electrical Machines and Systems (ICEMS) |
Start Date | Nov 5, 2023 |
End Date | Nov 8, 2023 |
Acceptance Date | Nov 5, 2023 |
Online Publication Date | Dec 14, 2023 |
Publication Date | 2023 |
Deposit Date | Nov 26, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Pages | 1374-1378 |
Series ISSN | 2642-5513 |
Book Title | 2023 26th International Conference on Electrical Machines and Systems (ICEMS) |
ISBN | 9798350317596 |
DOI | https://doi.org/10.1109/icems59686.2023.10345172 |
Public URL | https://nottingham-repository.worktribe.com/output/29259213 |
Publisher URL | https://ieeexplore.ieee.org/document/10345172 |
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