Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control

Liu Chunxi; Yang Yongzai; Wang Xin

doi:doi:10.11648/j.sd.20221006.31

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Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control

Liu Chunxi, Yang Yongzai, Wang Xin

Published in Science Discovery (Volume 10, Issue 6)

Received: 16 November 2022 Accepted: 22 December 2022 Published: 28 December 2022

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Abstract

The current stress of the hybrid three-level dual active bridge DC-DC converter in the battery formation system has a great influence on the system efficiency. In order to reduce the current stress, an optimal control strategy for minimum current stress based on dual phase shift control is proposed. Firstly, according to the relationship between the voltage conversion ratio and the phase shift ratio, 8 operating modes of the converter are summarized, and the expressions of the transmission power and current stress in each working mode are deduced. Secondly, by introducing a penalty function, the current stress objective function is transformed into an unconstrained objective function, and the particle swarm optimization algorithm is used to find the phase shift corresponding to the minimum current stress, which further improves the transmission efficiency; in addition, the virtual direct power control method is used to improve the dynamic response speed of the converter, estimate the transmission power in real time according to the virtual output voltage component, quickly reach a given output voltage value, and reduce the system adjustment time, thereby improving the dynamic performance of the converter when the input voltage and load fluctuate. Finally, the system model is built on the Matlab/Simulink simulation platform, which verifies the correctness and effectiveness of the proposed strategy.

Published in	Science Discovery (Volume 10, Issue 6)
DOI	10.11648/j.sd.20221006.31
Page(s)	513-521
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Battery Formation, Dual Active Bridge, Dual Phase Shift, Current Stress, Dynamic Performance

References

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APA Style

Liu Chunxi, Yang Yongzai, Wang Xin. (2022). Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control. Science Discovery, 10(6), 513-521. https://doi.org/10.11648/j.sd.20221006.31

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ACS Style

Liu Chunxi; Yang Yongzai; Wang Xin. Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control. Sci. Discov. 2022, 10(6), 513-521. doi: 10.11648/j.sd.20221006.31

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AMA Style

Liu Chunxi, Yang Yongzai, Wang Xin. Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control. Sci Discov. 2022;10(6):513-521. doi: 10.11648/j.sd.20221006.31

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@article{10.11648/j.sd.20221006.31,
  author = {Liu Chunxi and Yang Yongzai and Wang Xin},
  title = {Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control},
  journal = {Science Discovery},
  volume = {10},
  number = {6},
  pages = {513-521},
  doi = {10.11648/j.sd.20221006.31},
  url = {https://doi.org/10.11648/j.sd.20221006.31},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20221006.31},
  abstract = {The current stress of the hybrid three-level dual active bridge DC-DC converter in the battery formation system has a great influence on the system efficiency. In order to reduce the current stress, an optimal control strategy for minimum current stress based on dual phase shift control is proposed. Firstly, according to the relationship between the voltage conversion ratio and the phase shift ratio, 8 operating modes of the converter are summarized, and the expressions of the transmission power and current stress in each working mode are deduced. Secondly, by introducing a penalty function, the current stress objective function is transformed into an unconstrained objective function, and the particle swarm optimization algorithm is used to find the phase shift corresponding to the minimum current stress, which further improves the transmission efficiency; in addition, the virtual direct power control method is used to improve the dynamic response speed of the converter, estimate the transmission power in real time according to the virtual output voltage component, quickly reach a given output voltage value, and reduce the system adjustment time, thereby improving the dynamic performance of the converter when the input voltage and load fluctuate. Finally, the system model is built on the Matlab/Simulink simulation platform, which verifies the correctness and effectiveness of the proposed strategy.},
 year = {2022}
}

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TY  - JOUR
T1  - Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control
AU  - Liu Chunxi
AU  - Yang Yongzai
AU  - Wang Xin
Y1  - 2022/12/28
PY  - 2022
N1  - https://doi.org/10.11648/j.sd.20221006.31
DO  - 10.11648/j.sd.20221006.31
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 513
EP  - 521
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20221006.31
AB  - The current stress of the hybrid three-level dual active bridge DC-DC converter in the battery formation system has a great influence on the system efficiency. In order to reduce the current stress, an optimal control strategy for minimum current stress based on dual phase shift control is proposed. Firstly, according to the relationship between the voltage conversion ratio and the phase shift ratio, 8 operating modes of the converter are summarized, and the expressions of the transmission power and current stress in each working mode are deduced. Secondly, by introducing a penalty function, the current stress objective function is transformed into an unconstrained objective function, and the particle swarm optimization algorithm is used to find the phase shift corresponding to the minimum current stress, which further improves the transmission efficiency; in addition, the virtual direct power control method is used to improve the dynamic response speed of the converter, estimate the transmission power in real time according to the virtual output voltage component, quickly reach a given output voltage value, and reduce the system adjustment time, thereby improving the dynamic performance of the converter when the input voltage and load fluctuate. Finally, the system model is built on the Matlab/Simulink simulation platform, which verifies the correctness and effectiveness of the proposed strategy.
VL  - 10
IS  - 6
ER  -

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Author Information

Liu Chunxi

Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China
Yang Yongzai

Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China
Wang Xin

Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China

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Plain Text BibTeX RIS

APA Style

Liu Chunxi, Yang Yongzai, Wang Xin. (2022). Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control. Science Discovery, 10(6), 513-521. https://doi.org/10.11648/j.sd.20221006.31

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ACS Style

Liu Chunxi; Yang Yongzai; Wang Xin. Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control. Sci. Discov. 2022, 10(6), 513-521. doi: 10.11648/j.sd.20221006.31

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AMA Style

Liu Chunxi, Yang Yongzai, Wang Xin. Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control. Sci Discov. 2022;10(6):513-521. doi: 10.11648/j.sd.20221006.31

Copy | Download

@article{10.11648/j.sd.20221006.31,
  author = {Liu Chunxi and Yang Yongzai and Wang Xin},
  title = {Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control},
  journal = {Science Discovery},
  volume = {10},
  number = {6},
  pages = {513-521},
  doi = {10.11648/j.sd.20221006.31},
  url = {https://doi.org/10.11648/j.sd.20221006.31},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20221006.31},
  abstract = {The current stress of the hybrid three-level dual active bridge DC-DC converter in the battery formation system has a great influence on the system efficiency. In order to reduce the current stress, an optimal control strategy for minimum current stress based on dual phase shift control is proposed. Firstly, according to the relationship between the voltage conversion ratio and the phase shift ratio, 8 operating modes of the converter are summarized, and the expressions of the transmission power and current stress in each working mode are deduced. Secondly, by introducing a penalty function, the current stress objective function is transformed into an unconstrained objective function, and the particle swarm optimization algorithm is used to find the phase shift corresponding to the minimum current stress, which further improves the transmission efficiency; in addition, the virtual direct power control method is used to improve the dynamic response speed of the converter, estimate the transmission power in real time according to the virtual output voltage component, quickly reach a given output voltage value, and reduce the system adjustment time, thereby improving the dynamic performance of the converter when the input voltage and load fluctuate. Finally, the system model is built on the Matlab/Simulink simulation platform, which verifies the correctness and effectiveness of the proposed strategy.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Optimal Control Strategy of Hybrid Three-Level Dual Active Bridge DC-DC Converter with Dual Phase-Shift Control
AU  - Liu Chunxi
AU  - Yang Yongzai
AU  - Wang Xin
Y1  - 2022/12/28
PY  - 2022
N1  - https://doi.org/10.11648/j.sd.20221006.31
DO  - 10.11648/j.sd.20221006.31
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 513
EP  - 521
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20221006.31
AB  - The current stress of the hybrid three-level dual active bridge DC-DC converter in the battery formation system has a great influence on the system efficiency. In order to reduce the current stress, an optimal control strategy for minimum current stress based on dual phase shift control is proposed. Firstly, according to the relationship between the voltage conversion ratio and the phase shift ratio, 8 operating modes of the converter are summarized, and the expressions of the transmission power and current stress in each working mode are deduced. Secondly, by introducing a penalty function, the current stress objective function is transformed into an unconstrained objective function, and the particle swarm optimization algorithm is used to find the phase shift corresponding to the minimum current stress, which further improves the transmission efficiency; in addition, the virtual direct power control method is used to improve the dynamic response speed of the converter, estimate the transmission power in real time according to the virtual output voltage component, quickly reach a given output voltage value, and reduce the system adjustment time, thereby improving the dynamic performance of the converter when the input voltage and load fluctuate. Finally, the system model is built on the Matlab/Simulink simulation platform, which verifies the correctness and effectiveness of the proposed strategy.
VL  - 10
IS  - 6
ER  -

Copy | Download