Loss Prediction of Medium Voltage Power Modules: Trade-offs between Accuracy and Complexity

Jannick Kjær Jørgensen, Nicklas Christensen, Dipen Narendra Dalal, Asger Bjørn Jørgensen, Hongbo Zhao, Stig Munk-Nielsen, Christian Uhrenfeldt

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

16 Citationer (Scopus)

Abstract

Advances in high breakdown voltage SiC MOSFETs allows design of medium voltage power modules with simpler topologies, however, high dv/dt in addition to high di/dt makes parasitics of power modules more important to consider in loss estimations. Correct estimations can help prevent costly and time-consuming problems in a design process. Data sheet values can be used directly for loss estimation, but more detailed approaches in using device-level SPICE model fitting and inclusion of power module parasitics will give a more detailed estimation and may be used to predict transient behavior at a cost of increased complexity. This paper will quantitatively compare the switching loss predictive capability of different approaches in the case study of a custom-built medium voltage power module for varying operating conditions. It is found that by including parasitics loss prediction error is reduced from 15-25% to a few percent at high DC-link voltage for the case-study chosen.
OriginalsprogEngelsk
TitelProceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE)
Antal sider7
UdgivelsesstedBaltimore, MD, USA
ForlagIEEE Press
Publikationsdatosep. 2019
Sider4102-4108
Artikelnummer8913066
ISBN (Elektronisk)9781728103952
DOI
StatusUdgivet - sep. 2019
Begivenhed2019 IEEE Energy Conversion Congress and Exposition - Baltimore, USA
Varighed: 29 sep. 20193 okt. 2019
Konferencens nummer: 2019
http://www.ieee-ecce.org/2019/

Konference

Konference2019 IEEE Energy Conversion Congress and Exposition
Nummer2019
Land/OmrådeUSA
ByBaltimore
Periode29/09/201903/10/2019
Internetadresse
NavnIEEE Energy Conversion Congress and Exposition
ISSN2329-3721

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