Dong, X., Griffo, A. orcid.org/0000-0001-5642-2921 and Wang, J. orcid.org/0000-0003-4870-3744 (2019) Fast simulation of transient temperature distributions in power modules using multi-parameter model reduction. In: The Journal of Engineering. 9th International Conference on Power Electronics, Machines and Drives (PEMD 2018), 17-19 Apr 2018, Liverpool, UK. IET
Abstract
In this study, a three-dimensional model with multi-parameter order reduction is applied to the thermal modelling of power electronics modules with complex geometries. Finite element or finite difference method can be used to establish accurate mathematical models for thermal analyses. Unfortunately, the resulting computational complexity hinders the analysis in parametric studies. This study proposes a parametric order reduction technique that can significantly increase simulation efficiency without significant penalty in the prediction accuracy. The method, based on the block Arnoldi method, is illustrated with reference to a multi-chip SiC power module mounted on a forced air-cooled finned heat sink with a variable mass flow rate.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Authors. This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Keywords: | Thermal modelling; Power Electronics; Finite difference method (FDM); Multi-Parameter model order reduction (MOR) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 I2MPECT - 636170 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 May 2018 11:11 |
Last Modified: | 11 Jun 2019 11:52 |
Status: | Published online |
Publisher: | IET |
Refereed: | Yes |
Identification Number: | 10.1049/joe.2018.8094 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:131202 |