Study of Phase-Shifted Full-Bridge Return Power Optimization Algorithm

Isolated bi-directional full-bridge DC-DC converters are capable of realizing bi-directional energy flow as well as electrical isolation, which have been widely used in fields such as micro grids and new energy generation systems. However, when phase-shifting control is performed on this converter, the converter switching loss increases, the efficiency decreases, and the device life is shortened due to the presence of return power. In this paper, single phase-shift control and double phase-shift control strategies are used respectively to minimize the return power while maintaining the stability of the output voltage on the secondary side. Finally, the effectiveness of the optimization algorithm is validated by using the MATLAB/Simulink simulation platform.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922289
Citations
2
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.34
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article

Study of Phase-Shifted Full-Bridge Return Power Optimization Algorithm

Chao Yin, Yong Luo, Xianchen Zhao
2 citations
Power Systems and Renewable Energy
0.34
article

Study of Phase-Shifted Full-Bridge Return Power Optimization Algorithm

Chao Yin, Yong Luo, Xianchen Zhao
article en
2 citations

Abstract

Isolated bi-directional full-bridge DC-DC converters are capable of realizing bi-directional energy flow as well as electrical isolation, which have been widely used in fields such as micro grids and new energy generation systems. However, when phase-shifting control is performed on this converter, the converter switching loss increases, the efficiency decreases, and the device life is shortened due to the presence of return power. In this paper, single phase-shift control and double phase-shift control strategies are used respectively to minimize the return power while maintaining the stability of the output voltage on the secondary side. Finally, the effectiveness of the optimization algorithm is validated by using the MATLAB/Simulink simulation platform.

Qujing Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 32%
Power Systems and Renewable Energy
0.34
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