Paper
6 February 2024 Simulation research on magnetic properties of high-frequency core materials for electric locomotives
Jichao Chen, Shuoya Mi, Qingguang Chi, Runhao Liang
Author Affiliations +
Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129794F (2024) https://doi.org/10.1117/12.3016011
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China
Abstract
To realize the lightweight and fine design requirements of electric locomotives based on actual working conditions, the loss characteristics of three kinds of high-frequency core materials for electric locomotives, ferrite, amorphous alloys, and nanocrystalline materials, were deeply studied in this paper. Firstly, the core material loss characteristics were measured by simulating the actual working state of the locomotive at high frequency. Based on the traditional Steinmetz loss model being optimized and improved and considering the generality of the loss model under different operating frequencies, the loss calculation model was modified by introducing the correction coefficient of the loss model with the change of frequency. Finally, using nanocrystalline core materials as an example, the calculation accuracy of the optimized loss model was verified by direct measurement of the loss characteristics of the core materials, simulation calculation, and physical verification, which proved the feasibility of the optimization scheme of the loss model.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jichao Chen, Shuoya Mi, Qingguang Chi, and Runhao Liang "Simulation research on magnetic properties of high-frequency core materials for electric locomotives", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129794F (6 February 2024); https://doi.org/10.1117/12.3016011
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KEYWORDS
Magnetism

Transformers

Alloys

Nanocrystals

Design and modelling

Mathematical optimization

Electromagnetism

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