Research on Magnetic Losses Characteristics of Ferromagnetic Materials Based on Improvement Loss Separation Model
Zhao Zhigang1,2, Xu Man1,2, Hu Xinjian1,2
1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300132 China; 2. Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology Tianjin 300132 China
Abstract：In order to provide a reference for the optimal design of power transformers, a calculation model is proposed based on the classical Bertotti loss separation model for accurate prediction of ferromagnetic material losses over a wide range of frequencies and magnetic flux densities. The proposed model can not only consider the nonlinearity of ferromagnetic materials, but accurately simulate iron losses under harmonic excitation conditions. Firstly, based on the magnetic loss data measured under sinusoidal excitation, two-frequency method is used to calculate the hysteresis loss at low frequency and low magnetic density, and the hysteresis loss expression is solved. Then, according to the equivalent magnetic flux density variation, a dynamic loss factor is proposed to calculate the excess losses. Considering the nonlinearity when magnetic flux density is high, a nonlinear correction term is introduced to compensate the losses. Finally, according to the actual working conditions, the proposed model was used to calculate ferromagnetic material losses within the frequency range of 1 000Hz and under different harmonic excitation conditions, respectively. The results show that the calculated values are in good agreement with the experimental measured values, which verifies the validity of the model.
赵志刚, 徐曼, 胡鑫剑. 基于改进损耗分离模型的铁磁材料损耗特性研究[J]. 电工技术学报, 2021, 36(13): 2782-2790.
Zhao Zhigang, Xu Man, Hu Xinjian. Research on Magnetic Losses Characteristics of Ferromagnetic Materials Based on Improvement Loss Separation Model. Transactions of China Electrotechnical Society, 2021, 36(13): 2782-2790.
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2021, Vol. 36 
