Online Full ZVS Optimization for Modular Multi-Active Bridge Converter in MV PET

Conference Paper (2026)
Author(s)

Haoyu Wang (Tsinghua University)

Junwei Liu (The Hong Kong Polytechnic University)

Jialin Zheng (Tsinghua University)

Yangbin Zeng (South China University of Technology)

Di Mou (Tsinghua University)

Zian Qin (Netherlands Defence Academy (NLDA), TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/APEC51134.2026.11516849 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
DC systems, Energy conversion & Storage
Pages (from-to)
2959-2966
Publisher
IEEE
ISBN (electronic)
9798331575441
Event
41st Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2026 (2026-03-22 - 2026-03-26), San Antonio, United States
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Abstract

Multi-active bridge (MAB) converters, the core of the state-of-the-art medium-voltage power electronic transformers, can flexibly connect multiple DC ports among distributed DC grids and loads, but suffer from hard switching under conventional single phase-shift control, especially under unbalanced voltage conversion ratios and light load conditions. Although some offline methods manage to improve the efficiency through complex optimization structures, there lacks online optimization methods that are simple but effective due to the strong coupling among ports of the converter. By leveraging the time-domain model of the MAB converter under the multiple phase-shift modulation scheme, this paper simplifies the optimization process and proposes an online optimization method that can achieve full zero-voltage switching (ZVS) operation regardless of the load conditions. The proposed method has simple solutions with only voltage conversion ratios involved and can be implemented within a wide operation range without additional sensors or advanced controllers. A four-port MAB converter is constructed as the prototype. The simulation and experimental results have verified the feasibility and superiority of the proposed online strategy in achieving ZVS operation, dynamic response, and efficiency improvement.

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