Hybrid Analytical Model for AC Copper Loss Computation of Hairpin Winding

Journal article (2023)

Authors

Yunlu Du Southeast University
Yunkai Huang Southeast University
Baocheng Guo Nanjing Normal University
Fei Peng Southeast University
Y. Yao DC systems, Energy conversion & Storage - EEMCS , Southeast University
J. Dong Electrical Sustainable Energy , DC systems, Energy conversion & Storage - EEMCS
Research Group
DC systems, Energy conversion & Storage (EEMCS) (TU Delft)
Iron Copper Computational modeling Windings Prototypes Conductors Loss measurement AC copper loss Hairpin winding Hybrid analytical model (HAM) Magnetic saturation
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Published Date

2023

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

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.