IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i6p973-d213505.html
   My bibliography  Save this article

Modeling and Optimization of Dual Active Bridge DC-DC Converter with Dead-Time Effect under Triple-Phase-Shift Control

Author

Listed:
  • Chaochao Song

    (School of Control Science and Engineering, Shandong University, Jinan 250061, China)

  • Alian Chen

    (School of Control Science and Engineering, Shandong University, Jinan 250061, China)

  • Yiwei Pan

    (School of Control Science and Engineering, Shandong University, Jinan 250061, China)

  • Chunshui Du

    (School of Control Science and Engineering, Shandong University, Jinan 250061, China)

  • Chenghui Zhang

    (School of Control Science and Engineering, Shandong University, Jinan 250061, China)

Abstract

Dead-time effect has become an apparent issue in high-switching-frequency high-power dual active bridge (DAB) DC-DC converter. This paper gives a detailed analysis of phase-shift errors effect caused by dead time, including output voltage offset, soft-switching failure, optimal scheme failure, etc. Phase-shift errors effect will invalidate traditional analyses of optimal control and mislead the design of DAB converter. To overcome these drawbacks, various operating modes and an accurate transmission power model incorporating dead time under triple-phase-shift (TPS) control are developed. On this basis, an optimal TPS incorporating dead time (TPSiDT) scheme is further proposed to minimize the current stress, while guaranteeing soft-switching operation by using Lagrange multiplier method (LMM) and Genetic Algorithm (GA). The novel transmission power model can provide accurate power flow computation to avoid phase-shift errors. Therefore, in practical applications, the minimum current stress and soft-switching operation can be guaranteed, and the efficiency of DAB converter can be improved. Finally, the experimental results verify the feasibility of the proposed TPSiDT scheme.

Suggested Citation

  • Chaochao Song & Alian Chen & Yiwei Pan & Chunshui Du & Chenghui Zhang, 2019. "Modeling and Optimization of Dual Active Bridge DC-DC Converter with Dead-Time Effect under Triple-Phase-Shift Control," Energies, MDPI, vol. 12(6), pages 1-24, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:973-:d:213505
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/6/973/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/6/973/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muhammad Faisal Fiaz & Sandro Calligaro & Mattia Iurich & Roberto Petrella, 2022. "Analytical Modeling and Control of Dual Active Bridge Converter Considering All Phase-Shifts," Energies, MDPI, vol. 15(8), pages 1-32, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:973-:d:213505. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.