基于物理信息神经网络

This article presents the development, implementation, and validation of a loss-optimized and circuit parameter-sensitive triple-phase-shift (TPS) modulation scheme for a dual-active-bridge (DAB) dc–dc converter. The proposed approach dynamically adjusts control parameters based on circuit parameters estimated using a physics-informed neural network (PINN). For this purpose, first, a precise frequ...