117 / 2025-03-12 21:33:41
Current Stress Optimization-Based Unbiased Model Predictive Control for Dual Active Bridge Converters
Dual active Bridge,model predictive control (MPC),Adaptive reference command,dynamic response,Efficiency optimization
全文录用
Dehao Kong / Chair of High-Power Converter Systems, Technical University of Munich
Heyang sun / Northeast Electric Power University School of Electrical Engineering
Chuang Liu / Northeast Electric Power University
Jose Rodriguez / Universidad San Sebastian
Ralph Kennel / Technical University of Munich
Marcelo Lobo Heldwein / Technical University of Munich
To enhance the power transfer efficiency, dynamic response characteristics, and robustness of dual active bridge (DAB) converters, this paper proposes a bias-free model predictive control method. Firstly, to address the issues of high conduction losses and low conversion efficiency in DAB converters, the Karush-Kuhn-Tucker conditions are employed to calculate the optimal phase-shift angle for current stress optimization. Secondly, a comprehensive cost function set is designed to compare and optimize control variable candidates while performing adaptive correction on reference commands, thereby eliminating steady-state errors induced by model parameter mismatches and improving system robustness. Finally, an experimental prototype is developed to validate the effectiveness of the proposed methodology.
重要日期
  • 会议日期

    06月05日

    2025

    06月08日

    2025

  • 04月30日 2025

    初稿截稿日期

主办单位
IEEE PELS
IEEE
承办单位
Southeast University
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