Title
Evolution of classical 1-D based models and improved approach for the characterization of litz wire lossesOther institutions
Technical University of DenmarkVersion
Postprint
Rights
© 2024 IEEEAccess
Open accessPublisher’s version
https://doi.org/10.1109/TPEL.2024.3446962Published at
IEEE Transactions on Power Electronics Vol. 39. N. 12. Pp. 16371-16381. December, 2024xmlui.dri2xhtml.METS-1.0.item-publicationfirstpage
16371xmlui.dri2xhtml.METS-1.0.item-publicationlastpage
16381Publisher
IEEEKeywords
High-frequency transformersMathematical model
Wire
ODS 7 Energía asequible y no contaminante
Subject (UNESCO Thesaurus)
http://vocabularies.unesco.org/thesaurus/concept621UNESCO Classification
Electrical engineering and technologyAbstract
Prediction of Litz wire losses is a challenging endeavor in the design of high-frequency transformers. Although many analytical approaches of varying complexity can be found in the literature, classic ... [+]
Prediction of Litz wire losses is a challenging endeavor in the design of high-frequency transformers. Although many analytical approaches of varying complexity can be found in the literature, classical 1-D-based models are the norm in the analysis of wide design spaces. Even then, an important degree of uncertainty exists around the accuracy of the 1-D models. After a critical review of these models and an analysis of their application in Litz wire loss prediction, a new model is proposed, which tries to address some of the concerns and limitations of the existing approaches. The models are evaluated against 2-D finite-element simulations in many different conditions to ensure that the models correctly consider the impact of different parameters. The experimental results are presented to demonstrate the accuracy of the new approach at very high frequencies and high amounts of strands using four prototypes with different Litz wires, designed to correctly match the conditions inherent to any 1-D model. [-]
Funder
Gobierno VascoProgram
Programa Predoctoral de Formación de Personal Investigador No DoctorNumber
PRE_2020_1_0267Award URI
Sin informaciónProject
Sin informaciónCollections
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