Hysteresis and Loss Prediction of Soft Magnetic Composites Considering Particle Characteristics under DC-Biased Excitation
Zhao Xiaojun1, Xing Yutong1, Gao Shengze1, Liu Lanrong2, Shi Jian2
1. Department of Electrical Engineering North China Electric Power University Baoding 071003 China; 2. Hebei Provincial Key Laboratory of Electromagnetic &Structural Performance of Power Transmission and Transformation Equipment Baoding 071056 China
Abstract:With the development of modern power electronics, it is of great significance to deeply understand the hysteresis characteristics of soft magnetic composites (SMCs) and propose an accurate method for predicting the hysteresis loss of SMCs under DC-biased operating conditions. Since most current hysteresis loss calculation methods of SMCs without considering particle material properties and involve excessive computational complexity, this paper proposes a dynamic hysteresis loss model based on the loss separation model, which accounts for the internal characteristics of magnetic powder core particles. This model addresses the issue of hysteresis models neglecting material properties and achieves higher calculation accuracy. Firstly, this paper analyzes the composition of hysteresis loss in magnetic powder core materials and considers the influence of particle material properties and excitation sources on different dynamic losses. Based on Maxwell's equations and the particulate nature of particle magnetic powder core materials, an equivalent particle model is established. Furthermore, the eddy current losses inside the particles and between particles of the magnetic powder core equal to the eddy current loss of the equivalent particle, and a formula for the magnetic field strength corresponding to in-plane eddy current loss is derived. This method abandons the neglect of the magnetic field strength generated in the y-axis direction in the traditional formula for magnetic field strength corresponding to eddy current loss, thus achieving higher calculation accuracy. Secondly, this paper analyzes the actual application scenarios of magnetic powder cores and establishes an anomalous loss calculation model under DC-biased excitation. By analyzing the magnetic properties of magnetic powder core materials under the action of DC components, the corresponding anomalous loss parameters are calculated, and an anomalous loss model considering DC flux density is constructed to compute the magnetic field strength corresponding to anomalous loss. Finally, experiments are conducted using Somaloy 500 1P magnetic powder cores to measure hysteresis losses and hysteresis loops under different operating conditions, which are then compared with the calculation results. The following conclusions can be obtained: (1) A dynamic hysteresis model based is on field separation, which can account for the internal particle structure of SMCs, is proposed. The equivalent particle model is established to realize the analysis of hysteresis loss characteristics under high-frequency sinusoidal excitation. The error between the loss calculated by the improved model and the experimentally measured loss is no more than 5.13%, verifying the accuracy and effectiveness of the proposed model. (2) The loss characteristics of SMCs are analyzed. Within the experimentally measured frequency range, the increase in frequency is the main factor contributing to the increase in SMC losses. As frequency and flux density increase, the proportion of eddy current loss in total loss gradually decreases, while the proportion of anomalous loss in total loss increases. The influence of anomalous loss on loss magnitude under biased conditions is further analyzed, and a dynamic hysteresis model is established. Under high-frequency DC-biased excitation, the error of this model is no more than 4.68%. (3) Since the internal air gaps of SMC samples and the damage degree of particle insulation layers are not considered, the calculation results of this paper are slightly smaller than the actual measured losses. Future research will consider the influence of inter-particle air gaps and manufacturing pressure on the dynamic hysteresis model of SMCs.
赵小军, 邢宇彤, 高圣泽, 刘兰荣, 石建. 直流偏磁激励下计及颗粒特性的软磁复合材料磁滞及损耗预测[J]. 电工技术学报, 2026, 41(18): 6087-6097.
Zhao Xiaojun, Xing Yutong, Gao Shengze, Liu Lanrong, Shi Jian. Hysteresis and Loss Prediction of Soft Magnetic Composites Considering Particle Characteristics under DC-Biased Excitation. Transactions of China Electrotechnical Society, 2026, 41(18): 6087-6097.
[1] 赵彪, 安峰, 宋强, 等. 双有源桥式直流变压器发展与应用[J]. 中国电机工程学报, 2021, 41(1): 288-298. Zhao Biao, An Feng, Song Qiang, et al.Development and application of DC transformer based on dual-active-bridge[J]. Proceedings of the CSEE, 2021, 41(1): 288-298. [2] 孙凯, 卢世蕾, 易哲嫄, 等. 面向电力电子变压器应用的大容量高频变压器技术综述[J]. 中国电机工程学报, 2021, 41(24): 8531-8545. Sun Kai, Lu Shilei, Yi Zheyuan, et al.A review of high-power high-frequency transformer technology for power electronic transformer applications[J]. Proceedings of the CSEE, 2021, 41(24): 8531-8545. [3] 杨庆新, 李永建. 先进电工磁性材料特性与应用发展研究综述[J]. 电工技术学报, 2016, 31(20): 1-12. Yang Qingxin, Li Yongjian.Characteristics and developments of advanced magnetic materials in electrical engineering: a review[J]. Transactions of China Electrotechnical Society, 2016, 31(20): 1-12. [4] Qiu Guanqun, Ran Li, Feng Hao, et al.A fluxgate-based current sensor for DC bias elimination in a dual active bridge converter[J]. IEEE Transactions on Power Electronics, 2022, 37(3): 3233-3246. [5] 康丽, 张艳丽, 唐伟, 等. 基于变系数Steinmetz公式的直流偏磁下铁心损耗计算[J]. 电工技术学报, 2019, 34(增刊1): 1-6. Kang Li, Zhang Yanli, Tang Wei, et al.Calculation of core loss under DC bias based on the variable coefficient Steinmetz formula[J]. Transactions of China Electrotechnical Society, 2019, 34(S1): 1-6. [6] 马阳阳, 李永建, 孙鹤, 等. 基于SAE模型和Play算子的矢量磁滞模型研究[J]. 电工电能新技术, 2023, 42(6): 44-53. Ma Yangyang, Li Yongjian, Sun He, et al.Research on vector hysteresis model based on SAE model and Play operator[J]. Advanced Technology of Electrical Engineering and Energy, 2023, 42(6): 44-53. [7] 张希蔚, 李琳. 基于钉扎分布原则的改进热力学磁滞模型[J]. 中国电机工程学报, 2020, 40(16): 5162-5169. Zhang Xiwei, Li Lin.Improved thermodynamic hysteresis model based on the principle of pinning sites distribution[J]. Proceedings of the CSEE, 2020, 40(16): 5162-5169. [8] 黄文美, 冯晓博, 薛天祥, 等. 基于Armstrong能量模型的非线性动态维拉里磁滞行为建模与验证[J]. 电工技术学报, 2024, 39(18): 5565-5575. Huang Wenmei, Feng Xiaobo, Xue Tianxiang, et al.Modeling and verification of nonlinear dynamic villari hysteresis behavior based on Armstrong energy model[J]. Transactions of China Electrotechnical Society, 2024, 39(18): 5565-5575. [9] 李慧奇, 廖峪茹, 马光, 等. 考虑应力作用下取向硅钢片的改进损耗分离模型[J]. 电工技术学报, 2025, 40(10): 3097-3106. Li Huiqi, Liao Yuru, Ma Guang, et al.Improved loss separation model of oriented silicon steel sheets considering the influence of stress[J]. Transactions of China Electrotechnical Society, 2025, 40(10): 3097-3106. [10] 付裕恒, 李琳. 机械应力下取向硅钢片动态损耗特性测量与模拟[J]. 电工技术学报, 2026, 41(2): 359-373. Fu Yuheng, Li Lin.Measurement and simulation methods of dynamic loss characteristics of grain-oriented silicon steel sheets under mechanical stress[J]. Transactions of China Electrotechnical Society, 2026, 41(2): 359-373. [11] Zhou Tanwei, Zhou Guiyu, Ombach G, et al.Improvement of steinmetz’s parameters fitting formula for ferrite soft magnetic materials[C]//2018 IEEE Student Conference on Electric Machines and Systems, Huzhou, China, 2018: 1-4. [12] 刘欢, 李永建, 张长庚, 等. 非正弦激励下纳米晶材料高频磁心损耗的计算方法改进与验证[J]. 电工技术学报, 2023, 38(5): 1217-1227. Liu Huan, Li Yongjian, Zhang Changgeng, et al.Calculation and experimental verification of core loss in high frequency transformer under non-sinusoidal excitation[J]. Transactions of China Electrotechnical Society, 2023, 38(5): 1217-1227. [13] 王洋, 刘志珍. 基于蛙跳模糊算法的Jiles Atherton铁心磁滞模型参数确定[J]. 电工技术学报, 2017, 32(4): 154-161. Wang Yang, Liu Zhizhen.Determination of Jiles Atherton core hysteresis model parameters based on fuzzy-shuffled frog leaping algorithm[J]. Transactions of China Electrotechnical Society, 2017, 32(4): 154-161. [14] 刘任, 李琳. 基于损耗分离理论的非正弦激励磁心损耗计算方法研究[J]. 电工电能新技术, 2018, 37(9): 1-9. Liu Ren, Li Lin.Research on calculation methods for core losses under nonsinusoidal excitation based on loss separation theory[J]. Advanced Technology of Electrical Engineering and Energy, 2018, 37(9): 1-9. [15] Wilson P R, Ross J N, Brown A D.Optimizing the Jiles-Atherton model of hysteresis by a genetic algorithm[J]. IEEE Transactions on Magnetics, 2001, 37(2): 989-993. [16] 王洋, 刘志珍. 基于Jiles Atherton磁滞理论的直流偏磁下铁心损耗预测[J]. 中国电机工程学报, 2017, 37(1): 313-322. Wang Yang, Liu Zhizhen.The forecasting method of core loss under DC bias based on the Jiles Atherton hysteresis theory[J]. Proceedings of the CSEE, 2017, 37(1): 313-322. [17] 刘任, 李琳. 基于模拟退火与Levenberg-Marquardt混合算法的Energetic磁滞模型参数提取[J]. 中国电机工程学报, 2019, 39(3): 875-884, 966. Liu Ren, Li Lin.Parameter extraction for Energetic hysteresis model based on the hybrid algorithm of simulated annealing and Levenberg-Marquardt[J]. Proceedings of the CSEE, 2019, 39(3): 875-884, 966. [18] Bertotti G.Hysteresis in Magnetism for Physicists, Materials Scientists and Engineers[M]. San Diego: Academic Press, 1998. [19] Appino C, Bottauscio O, de la Barriere O, et al. Computation of eddy current losses in soft magnetic composites[J]. IEEE Transactions on Magnetics, 2012, 48(11): 3470-3473. [20] 刘亚丕, 石康, 石凯鸣, 等. 软磁磁粉芯和烧结软磁材料: 结构、性能、特点和应用[J]. 磁性材料及器件, 2021, 52(5): 98-103. Liu Yapi, Shi Kang, Shi Kaiming, et al.Soft magnetic powder core and sintered soft magnetic materials: structure, properties, characteristics and applications[J]. Journal of Magnetic Materials and Devices, 2021, 52(5): 98-103. [21] 刘任, 杜莹雪, 李琳, 等. 解析逆Preisach磁滞模型[J]. 电工技术学报, 2023, 38(10): 2567-2576. Liu Ren, Du Yingxue, Li Lin, et al.Analytical inverse Preisach hysteresis model[J]. Transactions of China Electrotechnical Society, 2023, 38(10): 2567-2576. [22] 陈彬, 王川源, 刘洋, 等. 基于磁导-电容类比法和解析Preisach模型的铁心动态磁滞建模方法[J]. 电工技术学报, 2024, 39(18): 5576-5587. Chen Bin, Wang Chuanyuan, Liu Yang, et al.Dynamic hysteresis modeling method for iron core based on permeance-capacitance analogy and analytic Preisach model[J]. Transactions of China Electrotechnical Society, 2024, 39(18): 5576-5587. [23] 陈彬, 秦小彬, 万妮娜, 等. 基于R-L型分数阶导数与损耗统计理论的铁磁材料高频损耗计算方法[J]. 电工技术学报, 2022, 37(2): 299-310. Chen Bin, Qin Xiaobin, Wan Nina, et al.Calculation method of high-frequency loss of ferromagnetic materials based on R-L type fractional derivative and loss statistical theory[J]. Transactions of China Electrotechnical Society, 2022, 37(2): 299-310. [24] 赵小军, 武欣怡, 章轩源, 等. 高频多谐波激励下计及趋肤效应的软磁带材磁滞及损耗特性预测[J]. 中国电机工程学报, 2024, 44(22): 9039-9047, I0029. Zhao Xiaojun, Wu Xinyi, Zhang Xuanyuan, et al.Predicting hysteresis and loss characteristics of soft magnetic tape material considering skin effect under high frequency multi-harmonic magnetization[J]. Proceedings of the CSEE, 2024, 44(22): 9039-9047, I0029. [25] 荆盈, 张艳丽, 王振, 等. 高频激励下软磁复合材料动态磁滞模型及实验验证[J]. 中国电机工程学报, 2025, 45(7): 2845-2854. Jing Ying, Zhang Yanli, Wang Zhen, et al.Dynamic hysteresis model and experimental verification of soft magnetic composites under high frequency excitation[J]. Proceedings of the CSEE, 2025, 45(7): 2845-2854. [26] 赵轩哲, 张殿海, 史凯萌, 等. 考虑颗粒属性的软磁复合材料磁特性预测方法[J]. 电工技术学报, 2024, 39(23): 7309-7318. Zhao Xuanzhe, Zhang Dianhai, Shi Kaimeng, et al.Prediction of magnetic properties of soft magnetic composites with considering of particle properties[J]. Transactions of China Electrotechnical Society, 2024, 39(23): 7309-7318. [27] Corcolle R, Ren Xiaotao, Daniel L.Effective properties and eddy current losses of soft magnetic composites[J]. Journal of Applied Physics, 2021, 129: 015103. [28] de la Barrière O, LoBue M, Mazaleyrat F. Semianalytical and analytical formulas for the classical loss in granular materials with rectangular and elliptical grain shapes[J]. IEEE Transactions on Magnetics, 2014, 50(10): 2005408. [29] Shimizu K, Furuya A, Uehara Y, et al.Loss simulation by finite-element magnetic field analysis considering dielectric effect and magnetic hysteresis in EI-shaped Mn-Zn ferrite core[J]. IEEE Transactions on Magnetics, 2018, 54(11): 1-5. [30] Ito Y, Igarashi H, Suzuki M, et al.Effect of magnetic contact on macroscopic permeability of soft magnetic composite[J]. IEEE Transactions on Magnetics, 2016, 52(3): 9400804. [31] Jost J.Partial Differential Equations[M]. New York: Springer, 2013. [32] de la Barrière O, Appino C, Fiorillo F, et al. Loss separation in soft magnetic composites[J]. Journal of Applied Physics, 2011, 109(7): 07A317.