姬俊安, 赵志刚, 张时, 陈天缘, 贾慧杰. 基于能量模型与电磁场数值法的高频激励下纳米晶材料磁滞特性预测模型[J]. 中国电机工程学报, 2025, 45(5): 2027-2038. DOI: 10.13334/j.0258-8013.pcsee.231844
引用本文: 姬俊安, 赵志刚, 张时, 陈天缘, 贾慧杰. 基于能量模型与电磁场数值法的高频激励下纳米晶材料磁滞特性预测模型[J]. 中国电机工程学报, 2025, 45(5): 2027-2038. DOI: 10.13334/j.0258-8013.pcsee.231844
JI Jun'an, ZHAO Zhigang, ZHANG Shi, CHEN Tianyuan, JIA Huijie. Prediction Method for Hysteresis Characteristics of Nanocrystalline Materials at High Frequency Based on Energy Model and Electromagnetic Field Numerical Method[J]. Proceedings of the CSEE, 2025, 45(5): 2027-2038. DOI: 10.13334/j.0258-8013.pcsee.231844
Citation: JI Jun'an, ZHAO Zhigang, ZHANG Shi, CHEN Tianyuan, JIA Huijie. Prediction Method for Hysteresis Characteristics of Nanocrystalline Materials at High Frequency Based on Energy Model and Electromagnetic Field Numerical Method[J]. Proceedings of the CSEE, 2025, 45(5): 2027-2038. DOI: 10.13334/j.0258-8013.pcsee.231844

基于能量模型与电磁场数值法的高频激励下纳米晶材料磁滞特性预测模型

Prediction Method for Hysteresis Characteristics of Nanocrystalline Materials at High Frequency Based on Energy Model and Electromagnetic Field Numerical Method

  • 摘要: 准确预测纳米晶材料的磁滞特性,对高频变压器磁芯的电-磁-热特性分析具有重要意义。然而,受制于高成本、不准确的静态磁滞特性表征方法,现有基于静态磁滞模型与电磁场数值法的软磁材料磁滞特性预测模型难以兼顾实用性与有效性。该文首先基于能量模型建模理论与软磁材料磁化机理,推导并建立能量模型参数与磁通密度之间的函数解析关系,实现不同磁化强度下软磁材料静态磁滞特性高效、准确地模拟;其次,将能量模型与Maxwell方程进行耦合,考虑高频方波电压激励下材料静态磁滞特性对带材内部涡流分布的影响,进而求解带材内部的磁通密度分布;最后,依据损耗统计理论,建立高频方波电压激励下纳米晶材料磁滞特性预测模型,并通过实验验证该文所建预测模型的有效性。

     

    Abstract: Accurate prediction of hysteresis characteristics of nanocrystalline materials is of great significance for the electromagnetic characteristics analysis of high-frequency transformers. However, due to the high cost and inaccurate characterization methods of the static hysteresis characteristics, existing numerical methods associated with the static hysteresis models are challenging to balance practicality and effectiveness. First, this paper deduces the functional relationship between magnetic flux density and model parameters. The proposed parameter calculation method is in line with the magnetization mechanism of materials under unsaturated regions, which does not rely on measured static hysteresis loops. Next, the paper presents a numerical method to solve the strip's eddy currents distribution based on accurately characterizing the static hysteresis characteristics, and then solving the magnetic flux density distribution inside the strip. Finally, based on the statistical theory of losses, a hysteresis characteristics prediction method for nanocrystalline materials under non-sinusoidal excitation is established. The experiments verify the effectiveness of the proposed method.

     

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