IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i20p5439-d430904.html
   My bibliography  Save this article

Differential Equation Model of the LLC Resonant Converter in the Ideal Case

Author

Listed:
  • Fang Li

    (School of Automation, Beijing Information Science and Technology University, Beijing 100192, China)

  • Haodong Lei

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Ruixiang Hao

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Siwei Liu

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Xiaojie You

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Jingmin Gao

    (School of Automation, Beijing Information Science and Technology University, Beijing 100192, China)

Abstract

The LLC resonant converter has been widely used in direct current (DC) power supply applications. However, fundamental harmonic approximation or other simplified analyses will introduce inevitable deviations. Therefore, the differential equation model with numerical solution of the LLC converter is proposed in this paper based on the operational principle of the ideal case. In order to solve the differential equation, initial values need to be substituted. The accurate LLC model based on time interval analysis is very complicated and cannot be used. In this paper, solution methods of the initial values corresponding to different switching frequencies are proposed. The initial values can be solved conveniently. Furthermore, the voltage gain curve is modified by the idealized analysis. Lastly, all the above research is verified by PSIM simulation. The work is helpful to understand the operational principle of the LLC resonant converter.

Suggested Citation

  • Fang Li & Haodong Lei & Ruixiang Hao & Siwei Liu & Xiaojie You & Jingmin Gao, 2020. "Differential Equation Model of the LLC Resonant Converter in the Ideal Case," Energies, MDPI, vol. 13(20), pages 1-16, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5439-:d:430904
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/20/5439/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/20/5439/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fang Li & Ruixiang Hao & Haodong Lei & Xinyi Zhang & Xiaojie You, 2019. "The Influence of Parasitic Components on LLC Resonant Converter," Energies, MDPI, vol. 12(22), pages 1-16, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xuanlyu Wu & Dejie Luo & Panpan Wu & Xin Zhao & Zhen Kang & Xiaohua Wu, 2020. "Zero-Vector-Injection Based Current Sharing Control of Interleaved Full-Bridge LLC Resonant Converters," Energies, MDPI, vol. 13(2), pages 1-15, January.
    2. Hwa-Pyeong Park & Mina Kim & Jee-Hoon Jung, 2020. "A Comprehensive Overview in Control Algorithms for High Switching-Frequency LLC Resonant Converter," Energies, MDPI, vol. 13(17), pages 1-17, August.
    3. Wieland Van De Sande & Simon Ravyts & Omid Alavi & Philippe Nivelle & Johan Driesen & Michaël Daenen, 2020. "The Sensitivity of an Electro-Thermal Photovoltaic DC–DC Converter Model to the Temperature Dependence of the Electrical Variables for Reliability Analyses," Energies, MDPI, vol. 13(11), pages 1-16, June.
    4. Umut Ondin & Abdulkadir Balikci, 2023. "A Transformer Design for High-Voltage Application Using LLC Resonant Converter," Energies, MDPI, vol. 16(3), pages 1-26, January.

    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:13:y:2020:i:20:p:5439-:d:430904. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.