Abstract
Thanks to the development in fields of materials and power electronics, the use of high speed electrical machines has boosted significantly in recent decades due to their many advantages and applications. To enhance this king of machines, it is absolutely necessary to reduce losses. This is especially applicable to eddy current losses. Their evaluation in the cooling sleeve of a toroidal high speed permanent magnet machine in this paper has been performed through 2D analytical harmonic model implemented in Matlab, 2D FEM model implemented in Cedrat Flux software and laboratory tests. The final goals have been to obtain a validated model to estimate eddy current losses and determine experimentally if the segregation of losses method is applicable to the considered problem. Two different materials, copper and aluminum, have been analyzed changing their thickness and varying the airgap between the external part of stator coils and cooling sleeve. The results show how electrical conductivity, frequency and geometry influence eddy current losses.
Original language | English |
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Title of host publication | 2020 2nd Global Power, Energy and Communication Conference (GPECOM) |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 125-130 |
Number of pages | 6 |
ISBN (Electronic) | 9781728162645 |
DOIs | |
Publication status | Published - Nov 2020 |
Event | 2020 2nd Global Power, Energy and Communication Conference (GPECOM) - Izmir, Turkey Duration: 20 Oct 2020 → 23 Oct 2020 |
Conference
Conference | 2020 2nd Global Power, Energy and Communication Conference (GPECOM) |
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Country/Territory | Turkey |
City | Izmir |
Period | 20/10/20 → 23/10/20 |
Keywords
- high speed machines, electrical machines, PM machines, eddy current losses, 2D analytical model, 2D harmonic model, Matlab, 2D FEM model, Flux, laboratory tests, segregation of losses method
- 2D harmonic model
- eddy current losses
- Flux
- laboratory tests
- PM machines
- high speed machines
- electrical machines
- 2D analytical model
- 2D FEM model
- Matlab
- segregation of losses method