Dong, X., Griffo, A. orcid.org/0000-0001-5642-2921 and Wang, J. orcid.org/0000-0003-4870-3744 (2020) Multi-parameter model order reduction for thermal modelling of power electronics. IEEE Transactions on Power Electronics, 35 (8). pp. 8550-8558. ISSN 0885-8993
Abstract
In this paper, a multi-parameter model order reduction is applied to the thermal modelling and simulation of power electronics modules and air cooling system. Although widely employed, simulation tools based on Finite elements (FE) or finite difference methods (FDM) result in computationally expensive models that hamper the analysis in studies where one or more parameters are changed. Model order reduction techniques can be applied to reduce the computational complexity. However, standard reduction techniques cannot easily consider parameters variability and need to be reapplied for each parameter value. The paper proposes a multi-parameter order reduction technique which can significantly improve the thermal simulation efficiency without having a significant impact on the prediction accuracy. The method is applied to multi-chip SiC power module mounted on a forced air cooled finned heatsink with variable air flow.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Thermal modelling; Power Electronics; Finite difference method (FDM); Multi-Parameter model order reduction (MOR); Air cooling |
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: | 10 Jan 2020 14:58 |
Last Modified: | 19 Oct 2021 13:39 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/TPEL.2020.2965248 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155337 |