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

Computationally efficient prediction of statistical variance in the AC losses of multi-stranded windings
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通过计算有效地预测多股绕组交流损耗的统计方差

DOI:
10.1109/ecce47101.2021.9595867
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发表时间:
2021
期刊:
2021 IEEE Energy Conversion Congress and Exposition (ECCE)
影响因子:
--
通讯作者:
N. Simpson
N. Simpson
中科院分区:
--
文献类型:
--
作者:
P. Mellor;J. Hoole;N. Simpson

文献摘要

被引文献

相似文献

在具有多股绕组的电机的批量制造中,无法精确地限定槽内的各个导体的布置。导体布置的这种随机性可以表现为绕组交流损耗和热性能的显着变化。本文提出了计算高效的技术,可用于量化导体放置引起的交流损耗的统计变化。使用简化的行为模型描述绕组温度和频率的影响,无需在多个工作点进行 FEA 分析。使用集中式和分布式缠绕机作为案例研究来测试这些方法。
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.