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绝缘栅双极型晶体管结温监测技术综述

Review of Junction Temperature Monitoring Technologies for Insulated Gate Bipolar Transistors

  • 摘要: 结温是影响功率半导体器件可靠性与寿命的关键状态量。围绕绝缘栅双极型晶体管功率模块的在线结温监测,系统分析了温度敏感电参数、芯片内集成温度传感、热模型与参数化建模、光纤温度传感以及数据驱动与人工智能五类技术路线,并从测量机理、适用场景、精度影响因素和工程应用约束等方面进行了比较。结果表明,电参数法易于集成,但依赖标定和工况补偿。芯片内集成温度传感器可测量局部结区温度,并具有器件退化监测潜力,但受到芯片面积和封装接口等因素限制。热模型法便于嵌入控制系统,但受参数漂移和边界条件影响。光纤传感可获得更接近芯片热点的温度信息,但封装集成和成本约束明显。数据驱动方法适合多源特征融合和健康状态评估,但样本覆盖、可解释性和长期维护仍需加强。物理模型约束、在线校准、多点分布式传感和寿命预测融合是提升工程可靠性的关键方向。

     

    Abstract: Junction temperature is a key determinant of power semiconductor reliability and lifetime. Five approaches to online junction-temperature monitoring of insulated-gate bipolar transistor (IGBT) power modules are reviewed: temperature-sensitive electrical parameter (TSEP) methods, monolithically integrated temperature sensing, thermal modeling, fiber-optic sensing, and data-driven methods. Their principles, applications, accuracy factors, and engineering constraints are compared. TSEP methods are easy to integrate but require calibration and operating-condition compensation. Monolithic sensors measure temperature near local junction regions and support degradation monitoring, although chip area and packaging interfaces remain constraints. Thermal models suit embedded control but are sensitive to parameter drift and boundary conditions. Fiber-optic sensors provide temperature information near chip hot spots but face packaging and cost challenges. Data-driven methods support multisource fusion and health assessment, but require broader datasets, better interpretability, and long-term maintenance. Physics-informed modeling, online calibration, distributed multipoint sensing, and integration with lifetime prediction are key directions for improving engineering reliability.
     

     

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