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Author:

Yi, Rongxian (Yi, Rongxian.) | Chen, Shujun (Chen, Shujun.) | Zhang, Jingzhang (Zhang, Jingzhang.) | Zhao, Hongyan (Zhao, Hongyan.) | Yu, Yue (Yu, Yue.) | Zhu, Hang (Zhu, Hang.)

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EI Scopus

Abstract:

Dual Active Bridge (DAB) DC-DC converters are widely used in modern electricity systems, energy conversion and storage applications, due to the advantages of electrical isolation, high power density, wide voltage transfer range and implementation of soft switching. Current studies about DAB focus on forward power transfer, as for reverse power transfer, only the basic operating characteristics are analyzed, and the reverse power transfer model cannot be accurately constructed and optimized for reverse transfer control. During the research, the PSpice and MATLAB/Simulink are used separately to verify the reliability of design. However, the PSpice and MATLAB/Simulink can only simulate algorithm or device separately. This paper analyzes the reverse power transfer and soft-switching characteristics, establishes an optimized control model with minimum current stress as the optimization target, and conducts co-simulation based on PSpice-MATLAB/Simulink. The results show that the algorithm can effectively reduce the inductor current stress and achieve a full range of soft-switching states. Finally, a DAB experimental prototype is built, and the experimental results coincide basically with the simulation results, which verifies the accuracy of the co-simulation model and provides a reference for power electronic system simulation. © 2022 IEEE.

Keyword:

DC-DC converters MATLAB SPICE Energy conversion Energy transfer

Author Community:

  • [ 1 ] [Yi, Rongxian]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 2 ] [Chen, Shujun]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 3 ] [Zhang, Jingzhang]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 4 ] [Zhao, Hongyan]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 5 ] [Yu, Yue]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 6 ] [Zhu, Hang]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China

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Year: 2022

Page: 243-248

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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