Dong, X., Griffo, A. orcid.org/0000-0001-5642-2921, Hewitt, D. et al. (1 more author) (2020) Reduced-order thermal observer for power modules temperature estimation. IEEE Transactions on Industrial Electronics, 67 (12). pp. 10085-10094. ISSN 0278-0046
Abstract
In this paper, a reduced order thermal observer with disturbance estimation is applied for temperature monitoring in a power electronics module. Although accurate thermal models of power electronics assemblies are widely available, based e.g. on computational fluid dynamics (CFD) solvers, their computational complexity hinders the application in real-time temperature monitoring applications. This paper proposes a reduced order state space observer to provide a real-time estimation of temperature in power electronics modules. The observer is coupled with a disturbance estimator, to minimize the error caused by uncertainties in the model and unknown operating conditions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 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: | reduced-order observer; thermal; disturbance estimation; power modules |
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: | 29 Nov 2019 12:21 |
Last Modified: | 12 Nov 2021 10:05 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/TIE.2019.2959483 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154027 |