Spice modeling and simulation of silicon-carbide power modules

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dc.contributor Passmore, Brandon
dc.contributor Freeborn, Todd J.
dc.contributor.advisor Lemmon, Andrew N.
dc.contributor.author Nelson, Blake Whitmore
dc.contributor.other University of Alabama Tuscaloosa
dc.date.accessioned 2018-01-19T19:37:49Z
dc.date.available 2018-01-19T19:37:49Z
dc.date.issued 2017
dc.identifier.other u0015_0000001_0002737
dc.identifier.other Nelson_alatus_0004M_13244
dc.identifier.uri http://ir.ua.edu/handle/123456789/3375
dc.description Electronic Thesis or Dissertation en_US
dc.description.abstract The design of power converters relies on computer modeling to accurately predict system electrical and thermal behavior prior to implementation. In the field of wide bandgap semiconductors, the extraordinarily high switching speed of silicon-carbide devices dictates that traditionally inconsequential parasitic elements can impact system level behavior. This is especially true for systems implementing multi-chip power modules. To ensure accurate simulations, a new and precise methodology for modeling these systems is needed. This thesis formulates a measurement based and empirically-validated methodology for modeling wide bandgap power modules. First, impedance analysis is used to create a parasitic model of the power module’s frequency domain behavior. Second, double pulse testing is implemented to characterize the dynamic behavior of the power module. Next, a SPICE model is developed from the frequency and time domain measurements. Finally, the model is validated through its accurate prediction of time domain waveforms and switching losses. en_US
dc.format.extent 103 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated. en_US
dc.subject Electrical engineering
dc.title Spice modeling and simulation of silicon-carbide power modules en_US
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Department of Electrical and Computer Engineering
etdms.degree.discipline Electrical and Computer Engineering
etdms.degree.grantor The University of Alabama
etdms.degree.level master's
etdms.degree.name M.S.

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