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<p>For high-frequency transformers with nanocrystalline cores, a core loss correction model that accounts for the characteristics of non-sinusoidal excitation waveforms is proposed in this paper. This approach enhances the accuracy of loss prediction under complex operating conditions, such as high frequencies and non-sinusoidal excitation. The formulation incorporates key waveform parameters, including the rise time constant and duty cycle, to derive loss expressions for both trapezoidal and rectangular waveforms. Furthermore, a conversion coefficient is introduced to correlate these losses with those under sinusoidal excitation, leading to a refined predictive model. The magnetic flux density and loss characteristics of the nanocrystalline core are evaluated using a finite element model. Experimental results confirm the accuracy of the model, with a maximum prediction error of 6.372%. Thus, this paper provides a theoretical foundation for optimizing the design and assessing the reliability of high-frequency transformers.</p>

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Loss model correction for high-frequency transformers with nanocrystalline cores

  • 期刊论文

  • 发表日期：

    2026年7月23日

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  • Zhongyu Dai,
  • Mengxiao Zhang,
  • Wenle Song,
  • Lei Wang,
  • Chengyu Liu,
  • Furao Yang,
  • Hetong Wang,
  • Xian Zhang

摘要

For high-frequency transformers with nanocrystalline cores, a core loss correction model that accounts for the characteristics of non-sinusoidal excitation waveforms is proposed in this paper. This approach enhances the accuracy of loss prediction under complex operating conditions, such as high frequencies and non-sinusoidal excitation. The formulation incorporates key waveform parameters, including the rise time constant and duty cycle, to derive loss expressions for both trapezoidal and rectangular waveforms. Furthermore, a conversion coefficient is introduced to correlate these losses with those under sinusoidal excitation, leading to a refined predictive model. The magnetic flux density and loss characteristics of the nanocrystalline core are evaluated using a finite element model. Experimental results confirm the accuracy of the model, with a maximum prediction error of 6.372%. Thus, this paper provides a theoretical foundation for optimizing the design and assessing the reliability of high-frequency transformers.