Virtual characterization of Interior Permanent Magnet (IPM) motor for EV traction applications

Rajesh Gudivada, Kishor Kumar Bodnapu, Koorma Rao Vavillapalli
{"title":"Virtual characterization of Interior Permanent Magnet (IPM) motor for EV traction applications","authors":"Rajesh Gudivada, Kishor Kumar Bodnapu, Koorma Rao Vavillapalli","doi":"10.1109/ITEC-INDIA.2017.8333875","DOIUrl":null,"url":null,"abstract":"Interior Permanent Magnet (IPM) motors are strengthening its candidature as traction motor in Electric Vehicles (EV) because of their advantages like high power density, extended field weakening and high efficiency. IPM motor being a complex control problem with inherent rotor saliency characteristic, extensive characterization on regenerative dynamometer is required for traction applications. This paper proposes a virtual characterization methodology for IPM motor using 2D Finite Element Analysis (FEA). The bench and vehicle test results confirmed the dynamic performance of IPM motor drive with acceptable accuracy.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Transportation Electrification Conference (ITEC-India)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC-INDIA.2017.8333875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Interior Permanent Magnet (IPM) motors are strengthening its candidature as traction motor in Electric Vehicles (EV) because of their advantages like high power density, extended field weakening and high efficiency. IPM motor being a complex control problem with inherent rotor saliency characteristic, extensive characterization on regenerative dynamometer is required for traction applications. This paper proposes a virtual characterization methodology for IPM motor using 2D Finite Element Analysis (FEA). The bench and vehicle test results confirmed the dynamic performance of IPM motor drive with acceptable accuracy.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
电动汽车牵引用内嵌式永磁(IPM)电机的虚拟特性研究
内嵌式永磁电机以其高功率密度、扩展弱磁场和高效率等优点,在电动汽车中作为牵引电机的候选地位日益增强。IPM电机是一个复杂的控制问题,具有固有的转子显著性特性,在牵引应用中需要对再生式测功机进行广泛的表征。本文提出了一种基于二维有限元分析(FEA)的IPM电机虚拟表征方法。台架和车辆试验结果证实了IPM电机驱动的动态性能,精度可接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Numerical analysis of thermal and mechanical field in the high temperature permanent magnet synchronous Machine Battery aging estimation with deep learning Impact of zero-voltage switching on efficiency and power transfer capability of a series-series compensated IPT system An electric circuit based EV battery model for runtime prediction and state of charge tracking Optimization of single speed EV drivetrain for commercial electric vehicles
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1