{"title":"Dynamic Hysteresis Model and Loss Prediction of GO Silicon Steel Under DC-Biased High-Frequency Excitation","authors":"Shengze Gao;Xiaojun Zhao;Haoming Wang;Lanrong Liu;Xuanyuan Zhang","doi":"10.1109/TASC.2024.3468214","DOIUrl":null,"url":null,"abstract":"A dynamic hysteresis model based on the loss separation theory is proposed to simulate and predict the total loss of grain-oriented (GO) silicon steels under high-frequency excitation with DC-bias. The skin depth is included in the equations of the classical eddy current field intensity considering the inhomogeneous distribution of the magnetic field under high frequency excitations. Besides, the DC-component of the excitation is also considered in the derived classical eddy current field equation. The nonlinear property of magnetic materials is accounted by discussing the saturated and the unsaturated operating conditions separately. The measurement results of a typical GO silicon steel are applied for the validation of the proposed dynamic hysteresis model. The accuracy and the loss component of the simulation and the loss prediction of silicon steels under DC-biased excitations are analyzed in detail.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-5"},"PeriodicalIF":1.7000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Applied Superconductivity","FirstCategoryId":"101","ListUrlMain":"https://ieeexplore.ieee.org/document/10693574/","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
A dynamic hysteresis model based on the loss separation theory is proposed to simulate and predict the total loss of grain-oriented (GO) silicon steels under high-frequency excitation with DC-bias. The skin depth is included in the equations of the classical eddy current field intensity considering the inhomogeneous distribution of the magnetic field under high frequency excitations. Besides, the DC-component of the excitation is also considered in the derived classical eddy current field equation. The nonlinear property of magnetic materials is accounted by discussing the saturated and the unsaturated operating conditions separately. The measurement results of a typical GO silicon steel are applied for the validation of the proposed dynamic hysteresis model. The accuracy and the loss component of the simulation and the loss prediction of silicon steels under DC-biased excitations are analyzed in detail.
提出了一种基于损耗分离理论的动态磁滞模型，用于模拟和预测直流偏压高频激励下晶粒取向（GO）硅钢的总损耗。考虑到高频激励下磁场的不均匀分布，在经典涡流场强度方程中加入了集肤深度。此外，在推导的经典涡流场方程中还考虑了激励的直流分量。通过分别讨论饱和和不饱和工作条件，考虑了磁性材料的非线性特性。典型 GO 硅钢的测量结果用于验证所提出的动态磁滞模型。详细分析了模拟的准确性和损耗分量，以及直流偏置激励下硅钢的损耗预测。
期刊介绍：
IEEE Transactions on Applied Superconductivity (TAS) contains articles on the applications of superconductivity and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Large scale applications include magnets for power applications such as motors and generators, for magnetic resonance, for accelerators, and cable applications such as power transmission.
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