Hybrid behavioral-analytical loss model for a high frequency and low load DC/DC buck converter

Díaz López, Daniel, Vasic, Miroslav ORCID: https://orcid.org/0000-0001-9597-6409, García Suárez, Oscar ORCID: https://orcid.org/0000-0001-6042-3855, Oliver Ramírez, Jesús Angel ORCID: https://orcid.org/0000-0002-5286-5378, Alou Cervera, Pedro ORCID: https://orcid.org/0000-0002-2985-1330 and Cobos Márquez, José Antonio ORCID: https://orcid.org/0000-0003-4542-2656 (2012). Hybrid behavioral-analytical loss model for a high frequency and low load DC/DC buck converter. En: "IEEE Conference on Energy Conversion Congress and Exposition (ECCE)", 15/09/2012 - 20/09/2012, Raleigh, North Carolina. pp. 4288-4294. https://doi.org/10.1109/ECCE.2012.6342239.

Descripción

Título: Hybrid behavioral-analytical loss model for a high frequency and low load DC/DC buck converter
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: IEEE Conference on Energy Conversion Congress and Exposition (ECCE)
Fechas del Evento: 15/09/2012 - 20/09/2012
Lugar del Evento: Raleigh, North Carolina
Título del Libro: IEEE Conference on Energy Conversion Congress and Exposition (ECCE)
Fecha: 2012
Materias:
ODS:
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This work presents a behavioral-analytical hybrid loss model for a buck converter. The model has been designed for a wide operating frequency range up to 4MHz and a low power range (below 20W). It is focused on the switching losses obtained in the power MOSFETs. Main advantages of the model are the fast calculation time (below 8.5 seconds) and a good accuracy, which makes this model suitable for the optimization process of the losses in the design of a converter. It has been validated by simulation and experimentally with one GaN power transistor and three Si MOSFETs. Results show good agreement between measurements and the model

Más información

ID de Registro: 20881
Identificador DC: https://oa.upm.es/20881/
Identificador OAI: oai:oa.upm.es:20881
Identificador DOI: 10.1109/ECCE.2012.6342239
Depositado por: Memoria Investigacion
Depositado el: 05 Mar 2014 17:45
Ultima Modificación: 20 Feb 2023 08:18