Induction machine models for efficiency studies in EV design applications

F. Aguilera, P. M. de la Barrera, C. D. de Angelo
{"title":"Induction machine models for efficiency studies in EV design applications","authors":"F. Aguilera, P. M. de la Barrera, C. D. de Angelo","doi":"10.1109/INDUSCON.2012.6452497","DOIUrl":null,"url":null,"abstract":"Different induction machine (IM) models are evaluated, with the aim to determine its usefulness in efficiency studies for electric vehicles (EV) traction drives. In particular, two simple IM models proposed in the literature, which take into account the additional losses, are compared. With this aim, model parameters are adjusted from experimental tests performed on a 4 kW IM. Then, obtained results from both models at different operating points are compared. Even when the estimation errors are similar using both models, one of them is chosen because of its simplicity. Finally, a simple application of this model is proposed, which consists in use the model for obtaining a complete efficiency map of the IM, without need further essays. Such efficiency map can be used to evaluate the overall efficiency of the traction drive of an EV or in EV design.","PeriodicalId":442317,"journal":{"name":"2012 10th IEEE/IAS International Conference on Industry Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 10th IEEE/IAS International Conference on Industry Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDUSCON.2012.6452497","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

Different induction machine (IM) models are evaluated, with the aim to determine its usefulness in efficiency studies for electric vehicles (EV) traction drives. In particular, two simple IM models proposed in the literature, which take into account the additional losses, are compared. With this aim, model parameters are adjusted from experimental tests performed on a 4 kW IM. Then, obtained results from both models at different operating points are compared. Even when the estimation errors are similar using both models, one of them is chosen because of its simplicity. Finally, a simple application of this model is proposed, which consists in use the model for obtaining a complete efficiency map of the IM, without need further essays. Such efficiency map can be used to evaluate the overall efficiency of the traction drive of an EV or in EV design.
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
用于电动汽车设计中效率研究的感应电机模型
对不同的感应电机模型进行了评估,目的是确定其在电动汽车牵引驱动效率研究中的实用性。特别地,比较了文献中提出的两种考虑了额外损失的简单IM模型。为此,根据在4 kW IM上进行的实验测试调整了模型参数。然后比较了两种模型在不同工况下的计算结果。即使使用两种模型的估计误差相似,也会选择其中一种模型,因为它简单。最后,提出了该模型的一个简单应用,即使用该模型可以得到一个完整的IM效率图,而无需进一步的研究。该效率图可用于评价电动汽车牵引传动系统的整体效率,也可用于电动汽车的设计。
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
Practical comparisons among electronic energy meters, a precision energy meter and IEEE1459 for reactive energy measurements, under unbalanced and non-sinusoidal conditions A new design methodology for multipulse rectifiers with Delta auto-connected transformers and a retrofit application in Adjustable Speed Drives (ASDs) A single-phase single-stage buck-boost inverter intended for low power alternative energy conversion systems: Analysis, design and experimentation Interferometric measurements of nanometric displacements in a Piezoelectric Flextensional Actuator by using the new J1…J5 method Identification and feature selection of non-technical losses for industrial consumers using the software WEKA
×
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:604180095
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