Semantic Scholar Open Access 2022 13 sitasi

Prediction of the Voltage Distribution in a Inverter-Fed Hairpin Stator Winding

J. Dittmann Cara-Nastasja Behrendt B. Ponick

Abstrak

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.

Penulis (3)

J

J. Dittmann

C

Cara-Nastasja Behrendt

B

B. Ponick

Format Sitasi

Dittmann, J., Behrendt, C., Ponick, B. (2022). Prediction of the Voltage Distribution in a Inverter-Fed Hairpin Stator Winding. https://doi.org/10.1109/ICEMS56177.2022.9983323

Akses Cepat

Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
13×
Sumber Database
Semantic Scholar
DOI
10.1109/ICEMS56177.2022.9983323
Akses
Open Access ✓