2025 lEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE 2025)

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

To improve the power transfer efficiency, dynamic response, and robustness of dual active bridge (DAB) converters, this paper proposes a bias-free model predictive control (MPC) method. First, to mitigate high conduction losses and low conversion efficiency, the Karush-Kuhn-Tucker (KKT) conditions are employed to determine the optimal phase-shift angle for minimizing current stress. Then, a comprehensive set of cost functions is designed to evaluate and optimize candidate control variables, while adaptively correcting the reference commands. This approach eliminates steady-state errors caused by model parameter mismatches and enhances system robustness. Finally, an experimental prototype is developed to validate the effectiveness of the proposed control strategy.