Fei Zhou, Tenghui Dong, Xi Zhang, Wenqiang Jin, Zhaojun Sun
{"title":"Thermal-Electromagnetic Analysis of Automotive IPMSM on Driving Cycles","authors":"Fei Zhou, Tenghui Dong, Xi Zhang, Wenqiang Jin, Zhaojun Sun","doi":"10.1109/ICPDS47662.2019.9017178","DOIUrl":null,"url":null,"abstract":"This paper proposes an improved modeling approach for predicting the thermal and output performances of interior permanent magnet synchronous motor (IPMSM) in different driving cycles. Generally, there are significant mutual effects between the thermal and output performances in the high-speed electric machines. In addition, both of them are influenced by the motor control algorithms, material properties drifts and so on, which are hard to be formulated in the traditional analysis approaches. Over-simplification of this phenomenon will inevitably lead to large errors in the design stage. Meanwhile, the analysis of automotive motors needs to be carried out under different operating conditions. In order to alleviate these problems, this paper establishes a novel modeling approach that integrates the impact of the multi-fields into account to improve the accuracy for motor design. Then the thermal and output performances can be obtained before the prototype been made. In this way, the design stage of the motor design can be significantly shortened. The predicting performance at different driving cycles is validated by the complete finite element analysis (FEA) model with satisfying result received.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Power Data Science (ICPDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPDS47662.2019.9017178","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 proposes an improved modeling approach for predicting the thermal and output performances of interior permanent magnet synchronous motor (IPMSM) in different driving cycles. Generally, there are significant mutual effects between the thermal and output performances in the high-speed electric machines. In addition, both of them are influenced by the motor control algorithms, material properties drifts and so on, which are hard to be formulated in the traditional analysis approaches. Over-simplification of this phenomenon will inevitably lead to large errors in the design stage. Meanwhile, the analysis of automotive motors needs to be carried out under different operating conditions. In order to alleviate these problems, this paper establishes a novel modeling approach that integrates the impact of the multi-fields into account to improve the accuracy for motor design. Then the thermal and output performances can be obtained before the prototype been made. In this way, the design stage of the motor design can be significantly shortened. The predicting performance at different driving cycles is validated by the complete finite element analysis (FEA) model with satisfying result received.