Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2022 International Conference on Electrical Machines and Systems, ICEMS 2022 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9781665493024 |
| ISBN (Print) | 9781665493031 |
| Publikationsstatus | Veröffentlicht - 2022 |
| Veranstaltung | 25th International Conference on Electrical Machines and Systems, ICEMS 2022 - Virtual, Online, Thailand Dauer: 29 Nov. 2022 → 2 Dez. 2022 |
Abstract
This article describes a method to predict the voltage distribution in the stator winding of an electrical machine with profile conductors (hairpins). The method allows the identification of spots with high potential differences where high stresses in the insulation system occur. It can be used in the design phase of the machine to design a specific insulation system or to insulate the conductors with high differential potential individually. The parasitic and partially frequency-dependent parameters used in the method are based on the geometric parameters of the winding i.e. on its conductordimensions, windinglayout and their materials. They are subsequently combined into a distributed equivalent circuit network. The resulting network is solved in the frequency domain using a modified nodal analysis. An ideal or measured input voltage pulse is applied to the system and the transient nonlinear electric potentials of the individual conductors are determined, yielding responses as function of time.
ASJC Scopus Sachgebiete
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Ingenieurwesen (insg.)
- Maschinenbau
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2022 International Conference on Electrical Machines and Systems, ICEMS 2022. Institute of Electrical and Electronics Engineers Inc., 2022.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Prediction of the Voltage Distribution in a Inverter-Fed Hairpin Stator Winding
AU - Dittmann, Jochen
AU - Behrendt, Cara Nastasja
AU - Ponick, Bernd
PY - 2022
Y1 - 2022
N2 - This article describes a method to predict the voltage distribution in the stator winding of an electrical machine with profile conductors (hairpins). The method allows the identification of spots with high potential differences where high stresses in the insulation system occur. It can be used in the design phase of the machine to design a specific insulation system or to insulate the conductors with high differential potential individually. The parasitic and partially frequency-dependent parameters used in the method are based on the geometric parameters of the winding i.e. on its conductordimensions, windinglayout and their materials. They are subsequently combined into a distributed equivalent circuit network. The resulting network is solved in the frequency domain using a modified nodal analysis. An ideal or measured input voltage pulse is applied to the system and the transient nonlinear electric potentials of the individual conductors are determined, yielding responses as function of time.
AB - This article describes a method to predict the voltage distribution in the stator winding of an electrical machine with profile conductors (hairpins). The method allows the identification of spots with high potential differences where high stresses in the insulation system occur. It can be used in the design phase of the machine to design a specific insulation system or to insulate the conductors with high differential potential individually. The parasitic and partially frequency-dependent parameters used in the method are based on the geometric parameters of the winding i.e. on its conductordimensions, windinglayout and their materials. They are subsequently combined into a distributed equivalent circuit network. The resulting network is solved in the frequency domain using a modified nodal analysis. An ideal or measured input voltage pulse is applied to the system and the transient nonlinear electric potentials of the individual conductors are determined, yielding responses as function of time.
KW - hairpin winding
KW - PWM voltage excitation
KW - voltage propagation
KW - voltage stress
KW - winding insulation
UR - http://www.scopus.com/inward/record.url?scp=85146336298&partnerID=8YFLogxK
U2 - 10.1109/ICEMS56177.2022.9983323
DO - 10.1109/ICEMS56177.2022.9983323
M3 - Conference contribution
AN - SCOPUS:85146336298
SN - 9781665493031
BT - 2022 International Conference on Electrical Machines and Systems, ICEMS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Conference on Electrical Machines and Systems, ICEMS 2022
Y2 - 29 November 2022 through 2 December 2022
ER -