AC Loss Analysis Approaches for Hairpin Winding Configuration: Analytical, Hybrid Model, and FEA
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A4 Artikkeli konferenssijulkaisussa
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2023
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en
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CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, International Conference on Compatibility, Power Electronics and Power Engineering
Abstract
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.Description
Funding Information: This work was supported by The Estonian Research Council Grant (PRG-1827). Publisher Copyright: © 2023 IEEE.
Keywords
AC loss, Analytical approach, finite elements analysis, hairpin winding, hybrid model
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Ghahfarokhi, P S, Kallaste, A, Podgornovs, A, Cardoso, A J M, Belahcen, A & Vaimann, T 2023, AC Loss Analysis Approaches for Hairpin Winding Configuration: Analytical, Hybrid Model, and FEA . in CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering . International Conference on Compatibility, Power Electronics and Power Engineering, IEEE, IEEE International Conference on Compatibility, Power Electronics and Power Engineering, Tallinn, Estonia, 14/06/2023 . https://doi.org/10.1109/CPE-POWERENG58103.2023.10227403