{"title":"Lumped-Parameter and 3D Thermal Model of a PMASynRM Under Fault Conditions with Asymmetric Temperature Distribution","authors":"Yanwen Shi, Jiabin Wang, Bo Wang","doi":"10.1109/ECCE.2018.8557727","DOIUrl":null,"url":null,"abstract":"This paper develops a 3D transient thermal model and a lumped-parameter (LP) thermal model to predict the asymmetric temperature distribution in a triple redundant 9-phase permanent magnet-assisted synchronous reluctance machine (PMASynRM) under fault conditions. The predicted temperatures by the LP thermal model will be compared with those by the 3D thermal model in order to validate the developed LP thermal model. The transient and steady-state temperatures predicted by the 3D thermal model which accounts a number of practical issues will be comprehensively compared with the test results. The relative merits of the two thermal models are discussed. It is shown that both the models have good accuracy in predicting the machine thermal behavior under fault conditions and can be chosen according to the requirements.","PeriodicalId":415217,"journal":{"name":"2018 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Energy Conversion Congress and Exposition (ECCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECCE.2018.8557727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper develops a 3D transient thermal model and a lumped-parameter (LP) thermal model to predict the asymmetric temperature distribution in a triple redundant 9-phase permanent magnet-assisted synchronous reluctance machine (PMASynRM) under fault conditions. The predicted temperatures by the LP thermal model will be compared with those by the 3D thermal model in order to validate the developed LP thermal model. The transient and steady-state temperatures predicted by the 3D thermal model which accounts a number of practical issues will be comprehensively compared with the test results. The relative merits of the two thermal models are discussed. It is shown that both the models have good accuracy in predicting the machine thermal behavior under fault conditions and can be chosen according to the requirements.