LAPSE:2023.33849
Published Article
LAPSE:2023.33849
Temperature Estimation of SiC Power Devices Using High Frequency Chirp Signals
Xiang Lu, Volker Pickert, Maher Al-Greer, Cuili Chen, Xiang Wang, Charalampos Tsimenidis
April 24, 2023
Silicon carbide devices have become increasingly popular in electric vehicles, predominantly due to their fast-switching speeds, which allow for the construction of smaller power converters. Temperature sensitive electrical parameters (TSEPs) can be used to determine the junction temperature, just like silicon-based power switches. This paper presents a new technique to estimate the junction temperature of a single-chip silicon carbide (SiC) metal−oxide−semiconductor field-effect transistor (MOSFET). During off-state operation, high-frequency chirp signals below the resonance frequency of the gate-source impedance are injected into the gate of a discrete SiC device. The gate-source voltage frequency response is captured and then processed using the fast Fourier transform. The data is then accumulated and displayed over the chirp frequency spectrum. Results show a linear relationship between the processed gate-source voltage and the junction temperature. The effectiveness of the proposed TSEPs is demonstrated in a laboratory scenario, where chirp signals are injected in a stand-alone biased discrete SiC module, and in an in-field scenario, where the TSEP concept is applied to a MOSFET operating in a DC/DC converter.
Keywords
frequency response analysis, junction temperature estimation, reliability of power devices, signal injection, silicon carbide metal–oxide–semiconductor field-effect transistor, temperature sensitive electrical parameters
Suggested Citation
Lu X, Pickert V, Al-Greer M, Chen C, Wang X, Tsimenidis C. Temperature Estimation of SiC Power Devices Using High Frequency Chirp Signals. (2023). LAPSE:2023.33849
Author Affiliations
Lu X: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Pickert V: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Al-Greer M: School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK [ORCID]
Chen C: Department of Informatics, Technical University of Munich, Boltzmann Strasse 3, 85748 Garching by Munich, Germany [ORCID]
Wang X: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Tsimenidis C: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Journal Name
Energies
Volume
14
Issue
16
First Page
4912
Year
2021
Publication Date
2021-08-11
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14164912, Publication Type: Journal Article
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doi:10.3390/en14164912
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Apr 24, 2023
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