Author

Jianguo Zhu

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Review Open access Sep 2026

A Review of Core-Loss Modeling in Electrical Machines Under Complex and Rotational Magnetization Conditions

Accurate core-loss prediction in electrical machines is difficult when local magnetic flux follows elliptical, circular, irregular, harmonic-rich, or three-dimensional trajectories. This structured review examines empirical and loss-separation formulations, vector and hysteresis models, flux-locus methods, finite-eleme...

Yun-Fei Yu, Youguang Guo, Gang Lei et al. · Applied Sciences · 0 citations

#machine learning Preprint Aug 2026

A Physics-Informed Hybrid Neural Operator for Transient Magnetization Prediction in Power Magnetics

Magnetic components in high-frequency, high-power-density converters are increasingly driven by non-sinusoidal flux-density waveforms with fast transitions, minor-loop operation, dc bias, and temperature variation. Under these conditions, steady-state core-loss formulas and single-valued material curves cannot fully ca...

Yachao Zhu, Qiujie Huang, Sinan Li et al. · 0 citations