Due to the manufacturing process of soft magnetic composite materials, the internal magnetic field distribution of related devices is very complex. To accurately calculate the loss and hysteresis characteristics of soft magnetic composite materials and understand their material properties, this paper establishes an equivalent particle model based on the internal structure and magnetic field intensity distribution, and combines Maxwell's equations to derive the expression of the average magnetic field intensity corresponding to the eddy current loss inside the particles. Furthermore, a two-dimensional dynamic hysteresis model is established based on the static inverse Preisach model, which improves the simulation accuracy of the hysteresis loop under sinusoidal excitation. Finally, through a comprehensive comparison between experimental and simulation results, the accuracy and effectiveness of the proposed method in this study are rigorously validated.

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Simulation of the Dynamic Hysteresis Characteristics of Soft Magnetic Composites Based on Preisach Model

  • Yutong Xing,
  • Xiaojun Zhao,
  • Shengze Gao

摘要

Due to the manufacturing process of soft magnetic composite materials, the internal magnetic field distribution of related devices is very complex. To accurately calculate the loss and hysteresis characteristics of soft magnetic composite materials and understand their material properties, this paper establishes an equivalent particle model based on the internal structure and magnetic field intensity distribution, and combines Maxwell's equations to derive the expression of the average magnetic field intensity corresponding to the eddy current loss inside the particles. Furthermore, a two-dimensional dynamic hysteresis model is established based on the static inverse Preisach model, which improves the simulation accuracy of the hysteresis loop under sinusoidal excitation. Finally, through a comprehensive comparison between experimental and simulation results, the accuracy and effectiveness of the proposed method in this study are rigorously validated.