Physics Informed Neural Network-Estimated Circuit Parameter Adaptive Modulation of DAB

• Published in: IEEE transactions on power electronics Vol. 40; no. 10; pp. 14821 - 14841
• Main Authors: Dey, Saikat, Mallik, Ayan
• Format: Journal Article
• Language: English
• Published: IEEE 01.10.2025
• Subjects: Analytical models; Artificial neural networks; Bridge circuits; Computational modeling; Dual-active-bridge (DAB); efficiency optimization; Hardware; Inductance; Integrated circuit modeling; Mathematical models; Modulation; parameter estimation; physics informed neural network (PINN); triple-phase-shift modulation (TPS); Voltage control; zero-voltage-switching (ZVS)

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 parameter...