Title
Evolution of classical 1-D based models and improved approach for the characterization of litz wire lossesxmlui.dri2xhtml.METS-1.0.item-contributorOtherinstitution
https://ror.org/04qtj9h94Version
http://purl.org/coar/version/c_ab4af688f83e57aa
Rights
© 2024 IEEEAccess
http://purl.org/coar/access_right/c_f1cfPublisher’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
xmlui.dri2xhtml.METS-1.0.item-unesco-tesauro
http://vocabularies.unesco.org/thesaurus/concept621xmlui.dri2xhtml.METS-1.0.item-unesco-clasificacion
http://skos.um.es/unesco6/3306Abstract
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. [-]
xmlui.dri2xhtml.METS-1.0.item-oaire-funderName
Gobierno Vascoxmlui.dri2xhtml.METS-1.0.item-oaire-fundingStream
Programa Predoctoral de Formación de Personal Investigador No Doctorxmlui.dri2xhtml.METS-1.0.item-oaire-awardNumber
PRE_2020_1_0267xmlui.dri2xhtml.METS-1.0.item-oaire-awardURI
Sin informaciónxmlui.dri2xhtml.METS-1.0.item-oaire-awardTitle
Sin informaciónCollections
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