In order to comprehensively consider the energy transmission efficiency of the isolated Dual-Active-Bridge (DAB) DC-DC converter, this paper proposes a control method that maximizes the power transmission efficiency of the whole converter and optimizes the stress of the switching device by using the dual-phase-shifting control mode under the premise of simultaneously considering current stress, back-flow power and power loss. Firstly, we compare and analyze the advantages and disadvantages of DPS, SPS and TPS, and finally determine the control method using DPS. Then analyze and compare the basic principles of the traditional current stress optimization target control method and the comprehensive efficiency optimal control method proposed in this paper. We compared the working mode analysis with the stability, current stress and application range of soft-switching. The adaptive genetic algorithm is used to optimize the two duty ratio degrees of freedom of the control strategy, and the optimal duty ratio corresponding to the objective function is obtained. Finally, the correctness of the control method and the superiority of the power transmission efficiency are proved by simulation and experimental comparison.
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Integrated optimization Control Strategy of DAB Based on DPS and Adaptive Genetic Algorithm
Semantic Scholar · Engineering · 2021
Abstract
In order to comprehensively consider the energy transmission efficiency of the isolated Dual-Active-Bridge (DAB) DC-DC converter, this paper proposes a control method that maximizes the power transmission efficiency of the whole converter and optimizes the stress of the switching device by using the dual-phase-shifting control mode under the premise of simultaneously considering current stress, back-flow power and power loss. Firstly, we compare and analyze the advantages and disadvantages of DPS, SPS and TPS, and finally determine the control method using DPS. Then analyze and compare the basic principles of the traditional current stress optimization target control method and the comprehensive efficiency optimal control method proposed in this paper. We compared the working mode analysis with the stability, current stress and application range of soft-switching. The adaptive genetic algorithm is used to optimize the two duty ratio degrees of freedom of the control strategy, and the optimal duty ratio corresponding to the objective function is obtained. Finally, the correctness of the control method and the superiority of the power transmission efficiency are proved by simulation and experimental comparison.