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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Alexander Hoffmann & Bernd Ponick, 2022. "Method to Predict the Non-Uniform Potential Distribution in Random Electrical Machine Windings under Pulse Voltage Stress," Energies, MDPI, vol. 15(1), pages 1-15, January.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:1:p:358-:d:717735
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