Computationally efficient prediction of statistical variance in the AC losses of multi-stranded windings

被引:5
作者
Mellor, Philip [1 ]
Hoole, Joshua [1 ]
Simpson, Nick [1 ]
机构
[1] Univ Brisrol, Elect Enery Mangement Grp, Bristol, Avon, England
来源
2021 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE) | 2021年
关键词
AC loss; high frequency; electrical machine windings; loss and thermal modelling; statistical variation; DESIGN;
D O I
10.1109/ECCE47101.2021.9595867
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the volume manufacture of electrical machines with multi-stranded windings the disposition of the individual conductors within the slot cannot be precisely defined. This randomness in conductor lay can manifest as a significant variation in the winding AC losses and thermal performance. This paper presents computationally efficient techniques that can be used to quantify the statistical variation in AC loss arising from the conductor placement. The impact of winding temperature and frequency is described using a simplified behavioural model, eliminating the need for FEA analysis at multiple operating points. Concentrated and distributed wound machines are used as case studies to test the methods.
引用
收藏
页码:3887 / 3894
页数:8
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