Abstract
To accommodate the development of power-dense electrical machines that employ multistrand random windings, there has been sustained interest in the statistical simulation of the variable strand transpositions that occur in as-manufactured windings. However, the development and calibration of such methodologies is challenging due to the lack of data concerning realistic strand transpositions. This paper aims to overcome this lack of data through performing X-ray Computed Tomography (XCT) of a multistrand random winding coil extracted from an electric vehicle traction motor stator. By tracing each parallel strand in the winding through the XCT-derived data, turn bundle shapes and behaviours were identified that are not routinely accounted for in the statistical simulation of strand transpositions. Consequently, the data presented in this paper presents guidance to support the future development of strand transposition and AC loss variability simulation methods.
Original language | English |
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Title of host publication | 2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 6 |
ISBN (Electronic) | 9798331520748 |
ISBN (Print) | 9798331520755 |
DOIs | |
Publication status | Published - 2 Jun 2025 |
Event | 2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD) - Valletta, Malta Duration: 9 Apr 2025 → 10 Jun 2025 https://www.um.edu.mt/events/wemdcd2025/ |
Publication series
Name | IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD) |
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Publisher | IEEE |
ISSN (Print) | 2694-0264 |
ISSN (Electronic) | 2380-856X |
Conference
Conference | 2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD) |
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Country/Territory | Malta |
City | Valletta |
Period | 9/04/25 → 10/06/25 |
Internet address |
Research Groups and Themes
- Electrical Energy Management
Keywords
- random windings
- computed tomography
- x-ray