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

Phil H Mellor*, Joshua Hoole, Nick Simpson

*Corresponding author for this work

Research output: Contribution to conferenceConference Paper

7 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages3887-3894
Number of pages8
DOIs
Publication statusPublished - 16 Nov 2021
Event2021 IEEE Energy Conversion Congress and Exposition (ECCE) - Virtual
Duration: 10 Oct 202114 Oct 2021
https://www.ieee-ecce.org/2021/

Conference

Conference2021 IEEE Energy Conversion Congress and Exposition (ECCE)
Period10/10/2114/10/21
Internet address

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