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Exploration of Steinmetz Parameter Variability in Hisgh Frecuency Transformer Design Spaces (1.190Mb)
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Title
Exploration of Steinmetz Parameter Variability in High Frequency Transformer Design Spaces
Author
Arruti Romero, AsierORCID
Agote San Sebastian, AnartzORCID
Aizpuru, IosuORCID
Mazuela, Mikel
Research Group
Sistemas Electrónicos de Potencia aplicados al Control de la Energía Eléctrica
Version
Postprint
Document type
Conference Object
Language
English
Rights
© 2025 IEEE
Access
Open access
URI
https://hdl.handle.net/20.500.11984/14533
Publisher’s version
https://doi.org/10.1109/ECCE-Europe62795.2025.11238738
Published at
Energy Conversion Congress & Expo Europe  2025 ECCE Europe. Birmingham, United Kingdom
Publisher
IEEE
Keywords
ODS 7 Energía asequible y no contaminante
Core losses
High-frequency transformers
Power transformers ... [+]
ODS 7 Energía asequible y no contaminante
Core losses
High-frequency transformers
Power transformers
Transformer design [-]
Subject (UNESCO Thesaurus)
Electronic technology
Semiconductor
Abstract
This paper investigates the impact of high frequency effects in the design space of transformers for power converters. A holistic overview of the impact of winding losses has previously been studied i ... [+]
This paper investigates the impact of high frequency effects in the design space of transformers for power converters. A holistic overview of the impact of winding losses has previously been studied in the literature, but such an analysis is missing for the high frequency effect of the core. This work will address this issue by using variable Steinmetz parameters to model the nonlinear behavior of core losses at high frequencies, while retaining a holistic view of the transformer design. Classical transformer scaling laws and high-frequency winding loss models are reviewed and combined with the improved non-linear core loss model. To demonstrate the improved model the optimal (minimum losses) solution for a case study is identified and compared against solutions from simplified core loss models. [-]
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