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.

Dual active Bridge,model predictive control (MPC),Adaptive reference command,dynamic response,Efficiency optimization