Analysis and Design of a High-Efficiency Resonant Dual-Active-Bridge Converter

This thesis investigates the analysis, design, and experimental validation of a high-efficiency Resonant Dual-Active-Bridge (RDAB) DC/DC converter for next- generation artificial intelligence (AI) data center power supply architectures. The research focuses on achieving a compact design with a target efficiency of 99.5 % under stringent constraints on volume and magnetic components. A detailed steady-state analysis of both conventional and resonant Dual-Active- Bridge topologies is presented, followed by the implementation of a control strategy based on phase-shift modulation and feed-forward regulation. The control design was validated through real-time Hardware-in-the-Loop (HIL) simulations and the development of custom magnetic components. Experimen- tal results confirm the correct operation of the RDAB converter, although the measured efficiency (96.3˘96.7 %) falls below the theoretical target due to semi- conductor and magnetic component limitations. The outcomes highlight the effectiveness of the proposed design methodology and provide guidelines for further optimization towards state-of-the-art high-density and high-efficiency DC/DC conversion.