外激同步电机自感知控制在电动汽车牵引中的应用

M. Koteich, A. Messali, Simon Daurelle
{"title":"外激同步电机自感知控制在电动汽车牵引中的应用","authors":"M. Koteich, A. Messali, Simon Daurelle","doi":"10.1109/SLED.2017.8078436","DOIUrl":null,"url":null,"abstract":"This paper studies the possibility of removing the position sensor from electric vehicles (EVs) powertrains that employ the externally-excited synchronous machine (EESM) for traction. Three position estimation approaches are studied: back-electromotive-force integration, state-observer and high-frequency voltage injection approaches. Theoretical background is presented, a comparative performance analysis is performed, and experimental results on a 65-kW EESM drive test bench are shown. Some requirements for EV powertrains are emphasized.","PeriodicalId":386486,"journal":{"name":"2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Self-sensing control of the externally-excited synchronous machine for electric vehicle traction application\",\"authors\":\"M. Koteich, A. Messali, Simon Daurelle\",\"doi\":\"10.1109/SLED.2017.8078436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the possibility of removing the position sensor from electric vehicles (EVs) powertrains that employ the externally-excited synchronous machine (EESM) for traction. Three position estimation approaches are studied: back-electromotive-force integration, state-observer and high-frequency voltage injection approaches. Theoretical background is presented, a comparative performance analysis is performed, and experimental results on a 65-kW EESM drive test bench are shown. Some requirements for EV powertrains are emphasized.\",\"PeriodicalId\":386486,\"journal\":{\"name\":\"2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SLED.2017.8078436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SLED.2017.8078436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

本文研究了在采用外激同步电机牵引的电动汽车动力系统中去除位置传感器的可能性。研究了反电动势积分法、状态观测器法和高频电压注入法三种位置估计方法。介绍了理论背景,进行了性能对比分析,并给出了在65kw EESM驱动试验台上的实验结果。强调了对电动汽车动力系统的一些要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-sensing control of the externally-excited synchronous machine for electric vehicle traction application
This paper studies the possibility of removing the position sensor from electric vehicles (EVs) powertrains that employ the externally-excited synchronous machine (EESM) for traction. Three position estimation approaches are studied: back-electromotive-force integration, state-observer and high-frequency voltage injection approaches. Theoretical background is presented, a comparative performance analysis is performed, and experimental results on a 65-kW EESM drive test bench are shown. Some requirements for EV powertrains are emphasized.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信