IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i22p4251-d284824.html
   My bibliography  Save this article

Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method

Author

Listed:
  • Jianhua Guo

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Weilun Liu

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Liang Chu

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Jingyuan Zhao

    (Auto Engineering Research Institute, BYD Auto Co., Ltd; Shenzhen 518118, China)

Abstract

This paper deals with an ultracapacitor (UC) model and its identification procedure. To take UC’s fractional characteristic into account, two constant phase elements (CPEs) are used to construct a model structure according to impedance spectrum analysis. The different behaviors of UC such as capacitance, resistance, and charge distribution dynamics are simulated by the corresponding part in the model. The resistance under different voltages is calculated through the voltage rebound method to explore its non-linear characteristics and create a look-up table. A nonlinear fractional model around an operation voltage is then deduced by applying the resistance table. This time identification is carried by a proposed hybrid optimization algorithm: Nelder-Mead seeker algorithm (NMSA), which embeds the Nelder–Mead Simplex (NMS) method into the seeker optimization algorithm (SOA). Its time behavior has been compared with the linear fractional model for charging and discharging current profiles at different levels.

Suggested Citation

  • Jianhua Guo & Weilun Liu & Liang Chu & Jingyuan Zhao, 2019. "Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method," Energies, MDPI, vol. 12(22), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4251-:d:284824
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/22/4251/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/22/4251/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Shailendra Rajput & Alon Kuperman & Asher Yahalom & Moshe Averbukh, 2020. "Studies on Dynamic Properties of Ultracapacitors Using Infinite r–C Chain Equivalent Circuit and Reverse Fourier Transform," Energies, MDPI, vol. 13(18), pages 1-11, September.

    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:22:p:4251-:d:284824. 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.