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This paper presents an innovative approach to accurately estimate the junction temperature of power devices using switching delay parameters. The method employs two linear estimation models: one for the turn-on delay and another for the turn-off delay. The models improve temperature estimation accuracy under various operating conditions by dynamically selecting the optimal temperature estimate based on the mean absolute error. A detection circuit was designed to capture essential electrical parameters while integrating the proposed model. Experimental results demonstrate that the method accurately estimates real-time junction temperature under various load conditions.

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Improved Temperature Estimation of Power Devices Based on Dynamic Multi-model Selection

  • 会议论文

  • 发表日期：

    2025年

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  • Meng Luo,
  • Kun Tan,
  • Xi Tang,
  • Cungang Hu,
  • Wenping Cao

摘要

This paper presents an innovative approach to accurately estimate the junction temperature of power devices using switching delay parameters. The method employs two linear estimation models: one for the turn-on delay and another for the turn-off delay. The models improve temperature estimation accuracy under various operating conditions by dynamically selecting the optimal temperature estimate based on the mean absolute error. A detection circuit was designed to capture essential electrical parameters while integrating the proposed model. Experimental results demonstrate that the method accurately estimates real-time junction temperature under various load conditions.