Abstract
Dual bridge series resonant converter (DBSRC) has attracted more attentions in power electronic transformer (PET) application. In this paper, a model predictive power control method with current stress optimization is proposed for dual bridge series resonant dc-dc converters (DBSRC) in power electronic transformer application, aiming at the optimization of operating efficiency and dynamic response capability. The current stress optimization model under triple phase shift control is analyzed and the operating efficiency is improved. At the same time, by introducing a virtual power component, the control method does not need a load current sensor, and can realize the model predictive power control of the DBSRC through the input and output voltage sensors, improving the dynamic response capability of the converter. Finally, through the combination of two optimization control methods, the model predictive power control method with current stress optimization is obtained, and a comparison with the traditional control method is carried out on a 250W experimental prototype. Experimental results show that this method can effectively reduce the current stress of the converter, improve the operating efficiency, and significantly improve the dynamic response capability of the converter.
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