{"title":"A modified jiles-atherton model for estimating the iron loss of electrical steel considering DC bias","authors":"Zhaokai Li, Xiaoyan Huang, Lijian Wu, Jituo Chen, Y. Zhong, Jien Ma, Youtong Fang","doi":"10.1109/EVER.2018.8362391","DOIUrl":null,"url":null,"abstract":"This paper proposed a novel approach to calculate the iron loss under DC bias condition using modified Jiles-Atherton (JA) model. The influence of DC bias on the JA model is analyzed. The parameters in the JA model are extracted from BH loops without DC bias but they are applicable for the one under DC bias condition. Thus the modified JA model is practically convenient for iron loss prediction. Moreover, the parameter identification is fast. In addition, the influence of different magnetic induction levels and frequency is incorporated in the model. An accurate measurement system is established to measure the BH loops and iron loss. The tested results are demonstrated and compared with the predicted iron loss to verify the modified JA model.","PeriodicalId":344175,"journal":{"name":"2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EVER.2018.8362391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposed a novel approach to calculate the iron loss under DC bias condition using modified Jiles-Atherton (JA) model. The influence of DC bias on the JA model is analyzed. The parameters in the JA model are extracted from BH loops without DC bias but they are applicable for the one under DC bias condition. Thus the modified JA model is practically convenient for iron loss prediction. Moreover, the parameter identification is fast. In addition, the influence of different magnetic induction levels and frequency is incorporated in the model. An accurate measurement system is established to measure the BH loops and iron loss. The tested results are demonstrated and compared with the predicted iron loss to verify the modified JA model.