Physics Informed Neural Network Estimated Circuit Parameter Adaptive Modulation of DAB

Published 8 Feb 2025 in eess.SP, cs.NE, cs.SY, and eess.SY | (2502.17452v1)

Abstract: This article presents the development, implementation, and validation of a loss-optimized and circuit parameter-sensitive TPS modulation scheme for a dual-active-bridge DC-DC converter. The proposed approach dynamically adjusts control parameters based on circuit parameters estimated using a physics-informed neural network.

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