Accurate beyond 150 °C
Integrating physics-informed logic with transfer learning, this model maintains high thermal prediction accuracy under elevated temperatures and varying switching frequencies, providing a new tool for reliability design and real-time monitoring of SiC power modules.
Yizheng, Tang · Zhan, Cao · Zhu, Lingyu · Sun, Hao · Weicheng, Wang · Zhili, Li · Huo, Wei · Ji, Shengchang
IEEE Transactions on Power Electronics 2025
Accurately describes nonlinear temperature-dependent effects above 150 °C
Achieves excellent generalization across operating frequencies via few-shot transfer learning
Offers interpretability and generalization compared to traditional ITM