Abstract
The growing trend of high speed, high power density machines for applications such as EVs, aerospace and machine tools demand these machines to work at higher electrical frequencies. Meanwhile, increasing the fundamental frequency leads to pronounced parasitic effects such as skin and proximity effects, which could induce considerable circulating current in stator windings. The additional winding loss due to these effects has generally made copper loss the dominant part of overall power loss in a high speed, high power density machine. This paper presents an in-depth investigation into the losses in the winding of a high-speed PM machine based on numerical FEA and compares the losses. Through loss comparison of various winding topologies using straight magnet wires along with Litz wire at high frequencies, it is found that transposition between coil turns which belong to the upper and lower coil sides can significantly reduce the AC copper loss.
| Original language | English |
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| Title of host publication | 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728133980 |
| DOIs | |
| Publication status | Published - Aug 2019 |
| Event | 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China Duration: 11 Aug 2019 → 14 Aug 2019 |
Publication series
| Name | 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 |
|---|
Conference
| Conference | 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 |
|---|---|
| Country/Territory | China |
| City | Harbin |
| Period | 11/08/19 → 14/08/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Free Keywords
- AC losses
- Aerospace
- circulating currents
- conductors
- electric transportation
- high power density
- permanent magnet
- proximity effect
- windings
ASJC Scopus subject areas
- Control and Optimization
- Energy Engineering and Power Technology
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering
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