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Ferrite Core Loss Prediction with Direct Data Interpolation Method
  • Yidong Tian,
  • Cheng Zhang
Yidong Tian

Corresponding Author:[email protected]

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Cheng Zhang


This paper proposes a direct data interpolation method for predicting ferrite core loss in power electronics. The core idea is to accurately construct the B-H loop shape given arbitrary Hfield waveforms. Unlike conventional loss models like the Steinmetz equation and its variations, or recent neural network methods like MagNet that leverage periodic B-H waveforms and frequencies, this method employs a data segmentation and reconstruction process to fully exploit the distinctive features of the B-H loop under varying conditions. The source data is from Princeton University's MagNet open-source datasets.
30 Dec 2023Submitted to TechRxiv
08 Jan 2024Published in TechRxiv