AC Loss Analysis Approaches for Hairpin Winding Configuration: Analytical, Hybrid Model, and FEA

2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2023) 2023
Payam Shams Ghahfarokhi, Ants Kallaste, Andrejs Podgornovs, Antonio J. Marques Cardoso, Anouar Belahcen, Toomas Vaimann

One of the effective options to achieve higher power density and lower-weight electric motors for electric vehicle (EV) applications is to replace the conventional winding with a hairpin configuration. This novel concept has several advantages, but the biggest drawback is high AC loss. Therefore, as this type of winding utilizes in EV motors for high-speed application, the correct estimations of this loss are essential during the design procedure. This paper presents three primary approaches to model and calculate the AC loss of hairpin windings: analytical, hybrid model, and FEA methods. In addition, the FEA method is used to validate and evaluate the accuracy of two other methods. Accordingly, both analytical and hybrid model results agree with FEA results. However, the hybrid model has higher accuracy rather than the analytical method.

Keywords
AC loss , Analytical approach , hairpin winding , hybrid model , finite elements analysis
DOI
10.1109/CPE-POWERENG58103.2023.10227403
Hyperlink
https://ieeexplore.ieee.org/document/10227403

Shams Ghahfarokhi, P., Kallaste, A., Podgornovs, A., Marques Cardoso, A., Belahcen, A., Vaimann, T. AC Loss Analysis Approaches for Hairpin Winding Configuration: Analytical, Hybrid Model, and FEA. In: 2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2023), Estonia, Tallinn, 14-16 June, 2023. Piscataway: IEEE, 2023, pp.1-4. ISBN 979-8-3503-0005-5. e-ISBN 979-8-3503-0004-8. ISSN 2166-9538. e-ISSN 2166-9546. Available from: doi:10.1109/CPE-POWERENG58103.2023.10227403

Publication language
English (en)