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Temperature Estimation of SiC Power Devices Using High Frequency Chirp Signals

Author

Listed:
  • Xiang Lu

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Volker Pickert

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Maher Al-Greer

    (School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK)

  • Cuili Chen

    (Department of Informatics, Technical University of Munich, Boltzmann Strasse 3, 85748 Garching by Munich, Germany)

  • Xiang Wang

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Charalampos Tsimenidis

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

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.

Suggested Citation

  • Xiang Lu & Volker Pickert & Maher Al-Greer & Cuili Chen & Xiang Wang & Charalampos Tsimenidis, 2021. "Temperature Estimation of SiC Power Devices Using High Frequency Chirp Signals," Energies, MDPI, vol. 14(16), pages 1-15, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4912-:d:612503
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