具有高泛化能力的碳化硅功率模块物理信息智能热模型

This article proposes a novel physics informed intelligent thermal model (PIITM) for silicon carbide (SiC) power modules, offering interpretability and generalization compared to traditional ITM. This proposed PIITM framework integrates the thermal transfer logic of each component to provide good interpretability. A residual convolutional neural network is employed to extract features of thermal c...