Calculation of end-winding leakage inductance for hairpin winding high power density traction machines using the PEEC method

Marco Silberberger, D. Morisco, H. Rapp, A. Möckel
{"title":"Calculation of end-winding leakage inductance for hairpin winding high power density traction machines using the PEEC method","authors":"Marco Silberberger, D. Morisco, H. Rapp, A. Möckel","doi":"10.1109/IEMDC47953.2021.9449550","DOIUrl":null,"url":null,"abstract":"The computation of end-winding leakage inductance is often an expensive task during the design process of electrical machines, but still important for an accurate estimation of the expected short circuit current of the evaluated design. Since commonly used 3D finite element analysis (FEA) based approaches require complex modelling and consist of time consuming solving, they are less suitable for a fast evaluation. Alternatively, methods based on the Neumann-Integral can decrease the calculation time and reduce the model complexity, but suffer from the requirement of numerical integration. This paper presents an enhanced approach, based on the partial element equivalent circuit (PEEC) method, to estimate the end-winding leakage inductance by applying closed form analytical solutions for fundamental PEEC cell geometries to arbitrary hairpin winding configurations. To emphasize the benefit and the merits of the proposed approach, a study case traction motor is analyzed and the results are compared to complex 3D FEA and measurements by evaluating the short circuit current. Finally, the approach is used to estimate the influence of short pitchening on the end-winding leakage inductance.","PeriodicalId":106489,"journal":{"name":"2021 IEEE International Electric Machines & Drives Conference (IEMDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Electric Machines & Drives Conference (IEMDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMDC47953.2021.9449550","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

The computation of end-winding leakage inductance is often an expensive task during the design process of electrical machines, but still important for an accurate estimation of the expected short circuit current of the evaluated design. Since commonly used 3D finite element analysis (FEA) based approaches require complex modelling and consist of time consuming solving, they are less suitable for a fast evaluation. Alternatively, methods based on the Neumann-Integral can decrease the calculation time and reduce the model complexity, but suffer from the requirement of numerical integration. This paper presents an enhanced approach, based on the partial element equivalent circuit (PEEC) method, to estimate the end-winding leakage inductance by applying closed form analytical solutions for fundamental PEEC cell geometries to arbitrary hairpin winding configurations. To emphasize the benefit and the merits of the proposed approach, a study case traction motor is analyzed and the results are compared to complex 3D FEA and measurements by evaluating the short circuit current. Finally, the approach is used to estimate the influence of short pitchening on the end-winding leakage inductance.
用PEEC法计算发夹绕组高功率密度牵引机端面漏感
在电机设计过程中,端部漏感的计算往往是一项昂贵的任务,但对于准确估计评估设计的预期短路电流仍然很重要。由于常用的基于三维有限元分析(FEA)的方法需要复杂的建模和耗时的求解,它们不太适合快速评估。基于Neumann-Integral的方法可以减少计算时间和降低模型复杂度,但受数值积分要求的限制。本文提出了一种基于部分单元等效电路(PEEC)方法的改进方法,通过对任意发夹绕组结构应用PEEC基本单元几何形状的闭形式解析解来估计端绕组漏感。为了强调该方法的优点和优点,以牵引电机为例进行了分析,并将分析结果与复杂的三维有限元分析和短路电流测量结果进行了比较。最后,利用该方法估计了短节距对端绕组漏感的影响。
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