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Experimental_based_model_for_turn_to_turn_PDIV_prediction_dependent_on_temperature.pdf (579.3Kb)
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Title
Experimental-Based model for Turn-to-Turn PDIV Prediction Dependent on Temperature
Author
Elorza Azpiazu, Leire
Egea, Aritz
Almandoz, Gaizka
Ugalde, Gaizka
Sarasola, Izaskun
Research Group
Accionamientos aplicados a la tracción y a la generación de energía eléctrica
Version
Postprint
Rights
© 2024 IEEE
Access
Embargoed access
URI
https://hdl.handle.net/20.500.11984/6786
Publisher’s version
https://doi.org/10.1109/ICEM60801.2024.10700559
Published at
International Conference on Electrical Machines (ICEM)  Torino, 1-4 septiembre, 2024
Publisher
IEEE
Keywords
Electric motor winding
Insulation design
Operational temperature
ODS 7 Energía asequible y no contaminante ... [+]
Electric motor winding
Insulation design
Operational temperature
ODS 7 Energía asequible y no contaminante
ODS 9 Industria, innovación e infraestructura
ODS 11 Ciudades y comunidades sostenibles
ODS 12 Producción y consumo responsables
ODS 13 Acción por el clima [-]
Subject (UNESCO Thesaurus)
http://vocabularies.unesco.org/thesaurus/concept621
Abstract
Turn-to-turn insulation partial discharge inception voltage (PDIV) plays a crucial role in the design of the insulation system of inverter-fed motors for the automotive sector. This paper presents a t ... [+]
Turn-to-turn insulation partial discharge inception voltage (PDIV) plays a crucial role in the design of the insulation system of inverter-fed motors for the automotive sector. This paper presents a turn-to-turn PDIV estimation model as a function of temperature, insulation thickness, and its relative permittivity for round and rectangular conductors. The model addresses constraints identified in other published methodologies, in that it does not require FEM simulation, experimental results as reference data, and γ or Schuman's constant adjustment. The model was validated with over 100 experimental self-measurements and literature results. For almost half of these, the PDIV value was estimated with an error of less than or equal to 5%, and the 87% of the estimated values did not exceed an error of 12%. This figure is in good agreement with other literature models. The maximum error obtained was 18%, however this can be attributed to the assumption of unknown insulation thickness and ambient relative humidity condition differences during experiments. By employing the model, coil winding designers or wire manufacturers can quickly and effectively estimate turn-to-turn PDIV at the required operational temperature for round and rectangular conductors. [-]
Funder
Gobierno Vasco
Program
Elkartek 2023
Number
KK-2023-00091
Award URI
Sin información
Project
Equipos de Potencia en Gallium Nitride (EPOGAN)
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