IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i4p582-d205358.html
   My bibliography  Save this article

Equivalent Circuit Model Construction and Dynamic Flow Optimization Based on Zinc–Nickel Single-Flow Battery

Author

Listed:
  • Shouguang Yao

    (School of Energy and Power Engineering, Jiangsu University of Science and Technology, Zhengjiang 212000, China)

  • Xiaofei Sun

    (School of Energy and Power Engineering, Jiangsu University of Science and Technology, Zhengjiang 212000, China)

  • Min Xiao

    (School of Energy and Power Engineering, Jiangsu University of Science and Technology, Zhengjiang 212000, China)

  • Jie Cheng

    (Zhangjiagang Zhidian Fanghua Storage Research Institute, Zhangjiagang 215600, China)

  • Yaju Shen

    (Zhangjiagang Zhidian Fanghua Storage Research Institute, Zhangjiagang 215600, China)

Abstract

Based on the zinc–nickel single-flow battery, a generalized electrical simulation model considering the effects of flow rate, self-discharge, and pump power loss is proposed. The results compared with the experiment show that the simulation results considering the effect of self-discharge are closer to the experimental values, and the error range of voltage estimation during charging and discharging is between 0% and 3.85%. In addition, under the rated electrolyte flow rate and different charge–discharge currents, the estimation of Coulomb efficiency by the simulation model is in good agreement with the experimental values. Electrolyte flow rate is one of the parameters that have a great influence on system performance. Designing a suitable flow controller is an effective means to improve system performance. In this paper, the genetic algorithm and the theoretical minimum flow multiplied by different flow factors are used to optimize the variable electrolyte flow rate under dynamic SOC (state of charge). The comparative analysis results show that the flow factor optimization method is a simple means under constant charge–discharge power, while genetic algorithm has better performance in optimizing flow rate under varying (dis-)charge power and state of charge condition in practical engineering.

Suggested Citation

  • Shouguang Yao & Xiaofei Sun & Min Xiao & Jie Cheng & Yaju Shen, 2019. "Equivalent Circuit Model Construction and Dynamic Flow Optimization Based on Zinc–Nickel Single-Flow Battery," Energies, MDPI, vol. 12(4), pages 1-17, February.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:582-:d:205358
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/4/582/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/4/582/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shouguang Yao & Peng Liao & Min Xiao & Jie Cheng & Wenwen Cai, 2017. "Study on Electrode Potential of Zinc Nickel Single-Flow Battery during Charge," Energies, MDPI, vol. 10(8), pages 1-11, July.
    2. Wang, Tao & Fu, Jiahui & Zheng, Menglian & Yu, Zitao, 2018. "Dynamic control strategy for the electrolyte flow rate of vanadium redox flow batteries," Applied Energy, Elsevier, vol. 227(C), pages 613-623.
    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. Sun, Jie & Zheng, Menglian & Yang, Zhongshu & Yu, Zitao, 2019. "Flow field design pathways from lab-scale toward large-scale flow batteries," Energy, Elsevier, vol. 173(C), pages 637-646.
    2. Jefimowski, Włodzimierz & Szeląg, Adam & Steczek, Marcin & Nikitenko, Anatolii, 2020. "Vanadium redox flow battery parameters optimization in a transportation microgrid: A case study," Energy, Elsevier, vol. 195(C).
    3. Arenas, Luis F. & Loh, Adeline & Trudgeon, David P. & Li, Xiaohong & Ponce de León, Carlos & Walsh, Frank C., 2018. "The characteristics and performance of hybrid redox flow batteries with zinc negative electrodes for energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 992-1016.
    4. Liu, Yongbin & Yu, Lihong & Liu, Le & Xi, Jingyu, 2021. "Tailoring the vanadium/proton ratio of electrolytes to boost efficiency and stability of vanadium flow batteries over a wide temperature range," Applied Energy, Elsevier, vol. 301(C).
    5. Chen, Hui & Li, Xiangrong & Gao, Hai & Liu, Jianguo & Yan, Chuanwei & Tang, Ao, 2019. "Numerical modelling and in-depth analysis of multi-stack vanadium flow battery module incorporating transport delay," Applied Energy, Elsevier, vol. 247(C), pages 13-23.
    6. Ni, Jing-Wei & Li, Ming-Jia & Ma, Teng, 2023. "The study of energy filtering management process for microgrid based on the dynamic response model of vanadium redox flow battery," Applied Energy, Elsevier, vol. 336(C).
    7. Guarnieri, Massimo & Trovò, Andrea & Picano, Francesco, 2020. "Enhancing the efficiency of kW-class vanadium redox flow batteries by flow factor modulation: An experimental method," Applied Energy, Elsevier, vol. 262(C).
    8. Jienkulsawad, Prathak & Jirabovornwisut, Tossaporn & Chen, Yong-Song & Arpornwichanop, Amornchai, 2023. "Effect of battery material and operation on dynamic performance of a vanadium redox flow battery under electrolyte imbalance conditions," Energy, Elsevier, vol. 268(C).
    9. Tugrul Y. Ertugrul & Michael. C. Daugherty & Jacob R. Houser & Douglas S. Aaron & Matthew M. Mench, 2020. "Computational and Experimental Study of Convection in a Vanadium Redox Flow Battery Strip Cell Architecture," Energies, MDPI, vol. 13(18), pages 1-17, 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:4:p:582-:d:205358. 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.