Details
Originalsprache | Englisch |
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Titel des Sammelwerks | IECON 2023 |
Untertitel | 49th Annual Conference of the IEEE Industrial Electronics Society |
Herausgeber (Verlag) | IEEE Computer Society |
ISBN (elektronisch) | 9798350331820 |
ISBN (Print) | 979-8-3503-3183-7 |
Publikationsstatus | Veröffentlicht - 2023 |
Veranstaltung | IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society - Singapore, Singapur Dauer: 16 Okt. 2023 → 19 Okt. 2023 |
Publikationsreihe
Name | IECON Proceedings (Industrial Electronics Conference) |
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ISSN (Print) | 2162-4704 |
ISSN (elektronisch) | 2577-1647 |
Abstract
Due to the increased voltage stress on the winding of an electrical machine during inverter operation, it is necessary to take this additional stress into account in the design of the insulation system. In this paper, a comparison of the measured and the simulated potential distributions in an inverter-fed hair-pin stator winding is presented. The method used to predict the potential distributions within a winding enables to identify spots with high potential differences. This information of the maximum potential differences can then be used to design the insulation system of the electrical machine. Using the measurement of the potential distribution of a sample stator specimen with a hairpin winding, the predictive method is validated. With the help of the validation, it is also possible to demonstrate the accuracy and the limitations of the prediction method.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
Zitieren
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- Harvard
- Apa
- Vancouver
- BibTex
- RIS
IECON 2023 : 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2023. (IECON Proceedings (Industrial Electronics Conference)).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Comparison of the Measured and Simulated Potential Distributions in an Inverter-Fed Hairpin Stator Winding
AU - Dittmann, Jochen
AU - Ponick, Bernd
PY - 2023
Y1 - 2023
N2 - Due to the increased voltage stress on the winding of an electrical machine during inverter operation, it is necessary to take this additional stress into account in the design of the insulation system. In this paper, a comparison of the measured and the simulated potential distributions in an inverter-fed hair-pin stator winding is presented. The method used to predict the potential distributions within a winding enables to identify spots with high potential differences. This information of the maximum potential differences can then be used to design the insulation system of the electrical machine. Using the measurement of the potential distribution of a sample stator specimen with a hairpin winding, the predictive method is validated. With the help of the validation, it is also possible to demonstrate the accuracy and the limitations of the prediction method.
AB - Due to the increased voltage stress on the winding of an electrical machine during inverter operation, it is necessary to take this additional stress into account in the design of the insulation system. In this paper, a comparison of the measured and the simulated potential distributions in an inverter-fed hair-pin stator winding is presented. The method used to predict the potential distributions within a winding enables to identify spots with high potential differences. This information of the maximum potential differences can then be used to design the insulation system of the electrical machine. Using the measurement of the potential distribution of a sample stator specimen with a hairpin winding, the predictive method is validated. With the help of the validation, it is also possible to demonstrate the accuracy and the limitations of the prediction method.
KW - Common-Mode Impedance
KW - Electrical Machine
KW - Hairpin Winding
KW - High-Frequency Modelling
KW - Potential Distribution
KW - Voltage Overshoot
UR - http://www.scopus.com/inward/record.url?scp=85179510940&partnerID=8YFLogxK
U2 - 10.1109/IECON51785.2023.10312452
DO - 10.1109/IECON51785.2023.10312452
M3 - Conference contribution
AN - SCOPUS:85179510940
SN - 979-8-3503-3183-7
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2023
PB - IEEE Computer Society
T2 - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
Y2 - 16 October 2023 through 19 October 2023
ER -