Hybrid Analytical Model for AC Copper Loss Computation of Hairpin Winding

Journal Article (2023)
Authors

Yunlu Du (Southeast University)

Yunkai Huang (Southeast University)

B. C. Guo (Nanjing Normal University)

Fei Peng (Southeast University)

Y. Yao (TU Delft - DC systems, Energy conversion & Storage, Southeast University)

J. Dong (TU Delft - DC systems, Energy conversion & Storage, TU Delft - Electrical Sustainable Energy)

Research Group
DC systems, Energy conversion & Storage
To reference this document use:
https://doi.org/10.1109/TMAG.2023.3300305
More Info
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Publication Year
2023
Language
English
Research Group
DC systems, Energy conversion & Storage
Issue number
3
Volume number
60
Pages (from-to)
1-4
DOI:
https://doi.org/10.1109/TMAG.2023.3300305
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Abstract

This article proposes a hybrid analytical model (HAM) for predicting ac copper losses in hairpin windings. The HAM combines the nonlinear semi-analytical model (SAM) and the 1-D ac copper loss computation model to solve the inaccurate boundary solutions of the 1-D ac copper loss computation model when magnetic saturation occurs in the stator teeth. The HAM is used to study the ac losses of the hairpin windings with four different conductor arrangements under different current excitation conditions, and the versatility of the HAM is verified. The HAM has high calculation accuracy, and the calculation speed is 66% faster than the finite element (FE) model. The primary contribution of this research is to present a quick and simple approach for accurately predicting ac copper losses in hairpin windings with arbitrary conductor arrangements.

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