4.7 Article

Steady-State Performance Optimization of Dual-Bridge Series Resonant DC/DC Converters

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JESTPE.2022.3215170

Keywords

Optimization; Topology; Steady-state; Control systems; Bridge circuits; Zero voltage switching; Voltage control; Asymmetric-phase shift (APS) control; dual bridge series resonant dc; dc converter (DBSRC); parameters sensitivity; transmission efficiency

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By establishing the mathematical model of the resonant-tank root-mean-square (rms) current of the dual-bridge series resonant dc/dc converter (DBSRC), this article comparatively analyzes the performance of the DBSRC under asymmetric-phase shift (APS) control. The proposed steady-state performance optimization strategy minimizes the resonant tank rms current, extends the zero voltage switching (ZVS) range, eliminates the influence of the dead-time gap, and enhances the transmission efficiency of the DBSRC. The theoretical analysis and excellent performance of the steady-state optimization strategy are verified in this article.
By establishing the mathematical model of the resonant-tank root-mean-square (rms) current of the dual-bridge series resonant dc/dc converter (DBSRC), this article comparatively analyzes the performance of the DBSRC under asymmetric-phase shift (APS) control. This article analyzes the influence of the dead-time gap on APS control. Then, a steady-state performance optimization strategy is proposed in this article for DBSRC under APS control considering the dead-time gap, and the proposed control scheme is analyzed and implemented. The steady-state performance optimization strategy can minimize the resonant tank rms current, extend the zero voltage switching (ZVS) range, eliminate the influence of the dead-time gap and enhance the transmission efficiency of the DBSRC. Besides, the resonant tank parameters sensitivity of the proposed optimization strategy is discussed, and a simple parameters estimation strategy is proposed. At last, the excellent performance and theoretical analysis of the steady-state optimization strategy have been verified in this article.

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