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Research and Implementation of Life Prediction Method for SiC MOSFET Module Based on PSO-BP Neural Network
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Mingbo MAO1, Zhaoliang MENG1, 2, 3, Yong GAO1, Yuan YANG2
Journal of Power Supply | 2025, 23(1) : 229 - 235
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Journal of Power Supply | 2025, 23(1): 229-235
• Power Semiconductor Devices •
Research and Implementation of Life Prediction Method for SiC MOSFET Module Based on PSO-BP Neural Network
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Mingbo MAO1, Zhaoliang MENG1, 2, 3, Yong GAO1, Yuan YANG2
Affiliations
  • 1 School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710699, China
  • 2 School of International Engineering, Xi’an University of Technology, Xi’an 710048, China
  • 3 Power Electronics Division of CRRC Yongji Electric Co., Ltd., Xi’an 710000, China
Published: 2025-01-30 doi: 10.13234/j.issn.2095-2805.2025.1.229
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To solve the difficulty in online life prediction of silicon carbide metal-oxide-semiconductor field-effect transistor (SiC MOSFET) under practical working conditions, a digital implementation method for SiC MOSFET module life prediction based on particle swarm optimization-back propagation (PSO-BP) neural network was proposed. First, the saturation voltage drop of SiC MOSFET was extracted by a saturation voltage drop platform as the temperature-sensitive electric parameter, and a junction temperature prediction scheme based on experimental data was established. Second, a life prediction scheme based on PSO-BP neural network was established by using a power cycling accelerated aging experimental platform to extract the aging characteristic data. Third, the junction temperature prediction scheme and life prediction scheme were transplanted to field programmable gate array to realize the digitization of SiC MOSFET life prediction. Finally, a circuit was designed to verify the proposed method. Experimental results show that the error between the digital junction temperature and real junction temperature was 4.73 ℃, and the percentage of error between the predicted life times and real life times was 4.1%, which proves that the proposed life prediction method is realized digitally and can accurately predict the life times of SiC MOSFET module.

Silicon carbide metal-oxide-semiconductor field-effect transistor (SiC MOSFET)  /  particle swarm optimization-back propagation (PSO-BP)  /  life prediction  /  digitization
Mingbo MAO, Zhaoliang MENG, Yong GAO, Yuan YANG. Research and Implementation of Life Prediction Method for SiC MOSFET Module Based on PSO-BP Neural Network[J]. Journal of Power Supply, 2025 , 23 (1) : 229 -235 . DOI: 10.13234/j.issn.2095-2805.2025.1.229
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.1.229
  • Receive Date：2022-06-09
  • Online Date：2025-07-01
  • Published：2025-01-30
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  • Received：2022-06-09
  • Revised：2022-07-16
  • Accepted：2022-09-27
Affiliations
    1 School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710699, China
    2 School of International Engineering, Xi’an University of Technology, Xi’an 710048, China
    3 Power Electronics Division of CRRC Yongji Electric Co., Ltd., Xi’an 710000, China
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