Method to Predict the Non-Uniform Potential Distribution in Random Electrical Machine Windings under Pulse Voltage Stress

Alexander Hoffmann and Bernd Ponick
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Alexander Hoffmann: Institute for Drive Systems and Power Electronics, Leibniz University Hannover, Welfengarten 1, 30167 Hannover, Germany
Bernd Ponick: Institute for Drive Systems and Power Electronics, Leibniz University Hannover, Welfengarten 1, 30167 Hannover, Germany

Energies, 2022, vol. 15, issue 1, 1-15

Abstract: This article describes a practical method for predicting the distribution of electric potential inside an electrical machine’s winding based on design data. It broadens the understanding of winding impedance in terms of inter-winding behavior and allows to properly design an electrical machine’s insulation system during the development phase. The predictions are made based on an frequency-dependent equivalent circuit of the electrical machine which is validated by measurements in the time domain and the frequency domain. Element parameters for the equivalent circuit are derived from two-dimensional field simulations. The results demonstrate a non-uniform potential distribution and demonstrate that the potential difference between individual turns and between turns and the stator core exceeds the expected values. The findings also show a link between winding impedance and potential oscillations inside the winding. Additionally, the article provides an overview of the chronological progression of turn-based models and shows how asynchronous multiprocessing is used to accelerate the solution process of the equivalent circuit.

Keywords: differential mode; electrical machine; frequency inverter; frequency response; HF impedance; HF lumped parameter model; HF modeling; insulation stress; potential distribution; random-wound; voltage stress; wide-bandgap (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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