Scalable and Accurate Modelling of a WBG-based Bidirectional DC/DC Converter for Electric Drivetrains

Sajib Chakraborty, Yuanfeng Lan, Iosu Aizpuru, Mikel Mazuela, Argiñe Alacano, Omar Hegazy

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

This article presents the scalable and accurate modelling technique of a Wideband Gap-based (WBG) bidirectional DC/DC converter to achieve high efficiency while satisfying a set of design constraints. Using Si and SiC-based switches, the converter is scaled for different power ratings (10kW~50kW). Moreover, to scale the passive components of the DC/DC converter empirical design approach is developed for inductor while the systematic approach is used for capacitor selection. The accuracy (~95% accurate) of the inductor design approach is verified by the Finite Element Method (FEM) COMSOL software and accurate loss model is validated using the MATLAB tool Simulink®. The proposed study reduces 60% of core losses in comparing with a conventional silicon core, reduces 2.5% of output voltage ripples while maximum efficiency is obtained up to 98.5% at 30kW load using CAS120M12BM2 SiC MOSFET module.
Original languageEnglish
Title of host publication32nd Electric Vehicle Symposium (EVS32) Lyon, France, May 19 - 22, 2019
PublisherEVS32
Pages1-11
Number of pages11
Publication statusPublished - 20 May 2019
EventEVS32: International electric vehicle symposium & exhibition - Lyon, Lyon, France
Duration: 19 May 201922 May 2019
Conference number: 32
https://www.evs32.org/
https://evs32.org/

Conference

ConferenceEVS32
Country/TerritoryFrance
CityLyon
Period19/05/1922/05/19
Internet address

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