Yuting Jin, Shuoyu Ye, Qiang-Ming Wu, Haoze Luo, Wuhua Li, Xiangning He
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引用次数: 0
Abstract
The electroluminescence effect of SiC MOSFET is correlated with parameters such as junction temperature and device current, providing a new approach for non-intrusive online device status sensing. However, existing discrete photodiode solutions have encountered bottlenecks with increasing monitoring parameters and decreasing sampling delays. This work proposes a SiC device status monitoring scheme based on the integrated miniature hyperspectral spectrometer. Convolutional smoothing and partial least squares regression are applied to the obtained hyperspectral data sets. The real-time online monitoring of junction temperature and device current is achieved under low signal-to-noise ratios where the device only emits light in the dead time. The synchronous detection errors for temperature and current are only 3.11°C and 0.81A, respectively.
SiC MOSFET的电致发光效应与结温、器件电流等参数相关,为非侵入式在线器件状态检测提供了新的途径。然而,现有的分立光电二极管解决方案遇到了监测参数增加和采样延迟减少的瓶颈。本文提出了一种基于集成微型高光谱光谱仪的SiC器件状态监测方案。对得到的高光谱数据集进行了卷积平滑和偏最小二乘回归。在低信噪比下实现了结温和器件电流的实时在线监测,器件仅在死区发光。温度和电流同步检测误差仅为3.11°C和0.81A。