LAPSE:2023.33849
Published Article

LAPSE:2023.33849
Temperature Estimation of SiC Power Devices Using High Frequency Chirp Signals
April 24, 2023
Abstract
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.
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.
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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
Subject
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
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
ISSN
1996-1073
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Original Submission
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PII: en14164912, Publication Type: Journal Article
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LAPSE:2023.33849
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https://doi.org/10.3390/en14164912
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Apr 24, 2023
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