{"title":"基于动态E&S建模的SPM电机磁特性分析","authors":"T. Sato, T. Todaka, M. Enokizono","doi":"10.1109/CEFC.2010.5481737","DOIUrl":null,"url":null,"abstract":"To make clear iron loss distributions in a stator core of SPM motor under high flux density condition over 1.3T, the integral-type dynamic E&S modeling is employed. The magnetic property database for this analysis is newly prepared in the measurements of the vector magnetic properties of the core material under high flux density conditions up to 1.8T, and then the magnetic reluctivity and hysteresis coefficients of the integral-type dynamic E&S modeling are derived. The results show that there is an applicable region of the integral-type dynamic E&S modeling to obtain a good convergence. We also point out some problems encountered in applying integral-type dynamic E&S modeling.","PeriodicalId":148739,"journal":{"name":"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Magnetic characteristic analysis of SPM motor by means of dynamic E&S modeling\",\"authors\":\"T. Sato, T. Todaka, M. Enokizono\",\"doi\":\"10.1109/CEFC.2010.5481737\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To make clear iron loss distributions in a stator core of SPM motor under high flux density condition over 1.3T, the integral-type dynamic E&S modeling is employed. The magnetic property database for this analysis is newly prepared in the measurements of the vector magnetic properties of the core material under high flux density conditions up to 1.8T, and then the magnetic reluctivity and hysteresis coefficients of the integral-type dynamic E&S modeling are derived. The results show that there is an applicable region of the integral-type dynamic E&S modeling to obtain a good convergence. We also point out some problems encountered in applying integral-type dynamic E&S modeling.\",\"PeriodicalId\":148739,\"journal\":{\"name\":\"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEFC.2010.5481737\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEFC.2010.5481737","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Magnetic characteristic analysis of SPM motor by means of dynamic E&S modeling
To make clear iron loss distributions in a stator core of SPM motor under high flux density condition over 1.3T, the integral-type dynamic E&S modeling is employed. The magnetic property database for this analysis is newly prepared in the measurements of the vector magnetic properties of the core material under high flux density conditions up to 1.8T, and then the magnetic reluctivity and hysteresis coefficients of the integral-type dynamic E&S modeling are derived. The results show that there is an applicable region of the integral-type dynamic E&S modeling to obtain a good convergence. We also point out some problems encountered in applying integral-type dynamic E&S modeling.