Energetic Macroscopic Representation of Scalable PMSM for Electric Vehicles

W. Lhomme, F. Verbelen, M. Ibrahim, K. Stockman
{"title":"Energetic Macroscopic Representation of Scalable PMSM for Electric Vehicles","authors":"W. Lhomme, F. Verbelen, M. Ibrahim, K. Stockman","doi":"10.1109/VPPC49601.2020.9330981","DOIUrl":null,"url":null,"abstract":"In this paper, an innovative model structuration is proposed to describe scaled Permanent Magnet Synchronous Machines (PMSM) at system level. By using the Energetic Macroscopic Representation formalism (EMR), the equations of the scaling laws are reorganized. The restructuration consists of a reference PMSM model complemented with two electrical and mechanical power adaptation elements. These latter elements take care of the scaling effects, including the power losses. The methodology is applied to scale the power of a PMSM for an electric vehicle, by a factor of 2. According to the studied designs, an average efficiency from 83.7% to 87.1% is obtained during an urban driving cycle.","PeriodicalId":6851,"journal":{"name":"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"52 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC49601.2020.9330981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In this paper, an innovative model structuration is proposed to describe scaled Permanent Magnet Synchronous Machines (PMSM) at system level. By using the Energetic Macroscopic Representation formalism (EMR), the equations of the scaling laws are reorganized. The restructuration consists of a reference PMSM model complemented with two electrical and mechanical power adaptation elements. These latter elements take care of the scaling effects, including the power losses. The methodology is applied to scale the power of a PMSM for an electric vehicle, by a factor of 2. According to the studied designs, an average efficiency from 83.7% to 87.1% is obtained during an urban driving cycle.
电动汽车可伸缩永磁同步电机的能量宏观表示
本文提出了一种新颖的模型结构来描述规模化永磁同步电机(PMSM)。利用能量宏观表示形式(EMR)对标度律方程进行了重组。重构由一个参考PMSM模型和两个电气和机械功率自适应元件组成。后一种因素考虑了缩放效应,包括功率损耗。将该方法应用于电动汽车的永磁同步电机功率按2倍进行缩放。根据所研究的设计,在一个城市行驶周期内,平均效率为83.7% ~ 87.1%。
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 求助全文
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:481959085
Book学术官方微信