High-Frequency Core Loss Modeling Based on Knowledge-Aware Artificial Neural Network

High-frequency core loss modeling plays a critical role in the magnetics design of power electronics. However, existing modeling tools fail to achieve both high speed and high precision. The conventional analytical approach enables fast estimations but performs poorly in accuracy. Magnetic loss mode...

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Veröffentlicht in:	IEEE transactions on power electronics 2024-02, Vol.39 (2), p.1968-1973
Hauptverfasser:	Deng, Junyun, Wang, Wenbo, Ning, Zhansheng, Venugopal, Prasanth, Popovic, Jelena, Rietveld, Gert
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Analytical core loss models Analytical models Artificial neural networks Core loss core loss modeling Datasets Frequency ranges High speed knowledge-aware artificial neural network Machine learning Magnetics Mathematical models Model accuracy Modelling Neural networks Parameterization Source code Training Training data
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