IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v211y2018icp1050-1059.html
   My bibliography  Save this article

Investigation of the use of electrolyte viscosity for online state-of-charge monitoring design in vanadium redox flow battery

Author

Listed:
  • Li, Xiangrong
  • Xiong, Jing
  • Tang, Ao
  • Qin, Ye
  • Liu, Jianguo
  • Yan, Chuanwei

Abstract

In vanadium redox flow batteries, an accumulated imbalance of the states-of-charge between the two half-cell electrolytes caused by vanadium ion crossover and gassing side reactions can result in only one half-cell achieving 100% state-of-charge, which is referred to as capacity loss that needs to be corrected online. In order to implement rebalancing control, online states-of-charge have to be monitored. In this paper, the electrolyte viscosity and its use for online state-of-charge monitoring design are investigated. The study firstly measures the viscosities of both V2+/V3+ and VO2+/VO2+ redox couples in sulfuric acid as the negative and positive half-cell electrolytes at different states-of-charge and temperatures, followed by establishing an empirical neural network model that correlates the state-of-charge to viscosity and temperature. To overcome the limitation in online viscosity measurements, Darcy’s law describing the flow of a fluid through a porous medium is further introduced to link the electrolyte viscosity to the pressure drop across a porous medium where the electrolyte solutions flow through. Together with the neural network model, the state-of-charge can be eventually represented as a function of pressure, temperature and flow rate that are readily measurable online, and accordingly an online state-of-charge monitoring design is developed, which could be readily integrated into the online battery control system for automated electrolyte rebalance. Experimental validation is performed on a 15-cell stack system and the results demonstrate the feasibility of the proposed method.

Suggested Citation

  • Li, Xiangrong & Xiong, Jing & Tang, Ao & Qin, Ye & Liu, Jianguo & Yan, Chuanwei, 2018. "Investigation of the use of electrolyte viscosity for online state-of-charge monitoring design in vanadium redox flow battery," Applied Energy, Elsevier, vol. 211(C), pages 1050-1059.
  • Handle: RePEc:eee:appene:v:211:y:2018:i:c:p:1050-1059
    DOI: 10.1016/j.apenergy.2017.12.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917317221
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2017.12.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wei, Zhongbao & Lim, Tuti Mariana & Skyllas-Kazacos, Maria & Wai, Nyunt & Tseng, King Jet, 2016. "Online state of charge and model parameter co-estimation based on a novel multi-timescale estimator for vanadium redox flow battery," Applied Energy, Elsevier, vol. 172(C), pages 169-179.
    2. Chou, Yi-Sin & Hsu, Ning-Yih & Jeng, King-Tsai & Chen, Kuan-Hsiang & Yen, Shi-Chern, 2016. "A novel ultrasonic velocity sensing approach to monitoring state of charge of vanadium redox flow battery," Applied Energy, Elsevier, vol. 182(C), pages 253-259.
    3. Liu, Le & Li, Zhaohua & Xi, Jingyu & Zhou, Haipeng & Wu, Zenghua & Qiu, Xinping, 2017. "Rapid detection of the positive side reactions in vanadium flow batteries," Applied Energy, Elsevier, vol. 185(P1), pages 452-462.
    4. Xu, Q. & Zhao, T.S. & Zhang, C., 2014. "Effects of SOC-dependent electrolyte viscosity on performance of vanadium redox flow batteries," Applied Energy, Elsevier, vol. 130(C), pages 139-147.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Shujuan Meng & Binyu Xiong & Tuti Mariana Lim, 2019. "Model-Based Condition Monitoring of a Vanadium Redox Flow Battery," Energies, MDPI, vol. 12(15), pages 1-16, August.
    2. Yue, Meng & Lv, Zhiqiang & Zheng, Qiong & Li, Xianfeng & Zhang, Huamin, 2019. "Battery assembly optimization: Tailoring the electrode compression ratio based on the polarization analysis in vanadium flow batteries," Applied Energy, Elsevier, vol. 235(C), pages 495-508.
    3. Kim, Jungmyung & Park, Heesung, 2018. "Impact of nanofluidic electrolyte on the energy storage capacity in vanadium redox flow battery," Energy, Elsevier, vol. 160(C), pages 192-199.
    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. Wang, Shaoliang & Xu, Zeyu & Wu, Xiaoliang & Zhao, Huan & Zhao, Jinling & Liu, Jianguo & Yan, Chuanwei & Fan, Xinzhuang, 2020. "Analyses and optimization of electrolyte concentration on the electrochemical performance of iron-chromium flow battery," Applied Energy, Elsevier, vol. 271(C).
    6. 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.
    7. Quan Xu & Xinyi Chen & Siyang Wang & Chao Guo & Yingchun Niu & Runguo Zuo & Ziji Yang & Yang Zhou & Chunming Xu, 2022. "The Recycling of Waste Per-Fluorinated Sulfonic Acid for Reformulation and Membrane Application in Iron-Chromium Redox Flow Batteries," Energies, MDPI, vol. 15(22), pages 1-10, November.
    8. Cheng, Ziqiang & Tenny, Kevin M. & Pizzolato, Alberto & Forner-Cuenca, Antoni & Verda, Vittorio & Chiang, Yet-Ming & Brushett, Fikile R. & Behrou, Reza, 2020. "Data-driven electrode parameter identification for vanadium redox flow batteries through experimental and numerical methods," Applied Energy, Elsevier, vol. 279(C).
    9. Alejandro Clemente & Ramon Costa-Castelló, 2020. "Redox Flow Batteries: A Literature Review Oriented to Automatic Control," Energies, MDPI, vol. 13(17), pages 1-31, September.
    10. Pugach, M. & Kondratenko, M. & Briola, S. & Bischi, A., 2018. "Zero dimensional dynamic model of vanadium redox flow battery cell incorporating all modes of vanadium ions crossover," Applied Energy, Elsevier, vol. 226(C), pages 560-569.
    11. Pugach, M. & Vyshinsky, V. & Bischi, A., 2019. "Energy efficiency analysis for a kilo-watt class vanadium redox flow battery system," Applied Energy, Elsevier, vol. 253(C), pages 1-1.

    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. Wei, L. & Wu, M.C. & Zhao, T.S. & Zeng, Y.K. & Ren, Y.X., 2018. "An aqueous alkaline battery consisting of inexpensive all-iron redox chemistries for large-scale energy storage," Applied Energy, Elsevier, vol. 215(C), pages 98-105.
    2. Chao-Tsung Ma, 2020. "A Novel State of Charge Estimating Scheme Based on an Air-Gap Fiber Interferometer Sensor for the Vanadium Redox Flow Battery," Energies, MDPI, vol. 13(2), pages 1-13, January.
    3. Souentie, Stamatios & Amr, Issam & Alsuhaibani, Abdulrahman & Almazroei, Essa & Hammad, Ahmad D., 2017. "Temperature, charging current and state of charge effects on iron-vanadium flow batteries operation," Applied Energy, Elsevier, vol. 206(C), pages 568-576.
    4. Kim, Jungmyung & Park, Heesung, 2017. "Experimental analysis of discharge characteristics in vanadium redox flow battery," Applied Energy, Elsevier, vol. 206(C), pages 451-457.
    5. Shujuan Meng & Binyu Xiong & Tuti Mariana Lim, 2019. "Model-Based Condition Monitoring of a Vanadium Redox Flow Battery," Energies, MDPI, vol. 12(15), pages 1-16, August.
    6. Li, Yifeng & Bao, Jie & Skyllas-Kazacos, Maria & Akter, Md Parvez & Zhang, Xinan & Fletcher, John, 2019. "Studies on dynamic responses and impedance of the vanadium redox flow battery," Applied Energy, Elsevier, vol. 237(C), pages 91-102.
    7. Kim, Dong Kyu & Yoon, Sang Jun & Lee, Jaeho & Kim, Sangwon, 2018. "Parametric study and flow rate optimization of all-vanadium redox flow batteries," Applied Energy, Elsevier, vol. 228(C), pages 891-901.
    8. Wei, Zhongbao & Zhao, Jiyun & Ji, Dongxu & Tseng, King Jet, 2017. "A multi-timescale estimator for battery state of charge and capacity dual estimation based on an online identified model," Applied Energy, Elsevier, vol. 204(C), pages 1264-1274.
    9. Bizhong Xia & Zizhou Lao & Ruifeng Zhang & Yong Tian & Guanghao Chen & Zhen Sun & Wei Wang & Wei Sun & Yongzhi Lai & Mingwang Wang & Huawen Wang, 2017. "Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Forgetting Factor Recursive Least Squares and Nonlinear Kalman Filter," Energies, MDPI, vol. 11(1), pages 1-23, December.
    10. Henrik Zsiborács & Gábor Pintér & Attila Bai & József Popp & Zoltán Gabnai & Béla Pályi & István Farkas & Nóra Hegedűsné Baranyai & Christian Gützer & Heidelinde Trimmel & Sandro Oswald & Philipp Weih, 2018. "Comparison of Thermal Models for Ground-Mounted South-Facing Photovoltaic Technologies: A Practical Case Study," Energies, MDPI, vol. 11(5), pages 1-18, May.
    11. Dai, Haifeng & Xu, Tianjiao & Zhu, Letao & Wei, Xuezhe & Sun, Zechang, 2016. "Adaptive model parameter identification for large capacity Li-ion batteries on separated time scales," Applied Energy, Elsevier, vol. 184(C), pages 119-131.
    12. Wei, L. & Zeng, L. & Wu, M.C. & Fan, X.Z. & Zhao, T.S., 2019. "Seawater as an alternative to deionized water for electrolyte preparations in vanadium redox flow batteries," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    13. Zhou, X.L. & Zhao, T.S. & An, L. & Zeng, Y.K. & Yan, X.H., 2015. "A vanadium redox flow battery model incorporating the effect of ion concentrations on ion mobility," Applied Energy, Elsevier, vol. 158(C), pages 157-166.
    14. Wang, Shaoliang & Xu, Zeyu & Wu, Xiaoliang & Zhao, Huan & Zhao, Jinling & Liu, Jianguo & Yan, Chuanwei & Fan, Xinzhuang, 2020. "Analyses and optimization of electrolyte concentration on the electrochemical performance of iron-chromium flow battery," Applied Energy, Elsevier, vol. 271(C).
    15. Jiale Xie & Jiachen Ma & Jun Chen, 2018. "Peukert-Equation-Based State-of-Charge Estimation for LiFePO4 Batteries Considering the Battery Thermal Evolution Effect," Energies, MDPI, vol. 11(5), pages 1-14, May.
    16. Li, Yanwen & Wang, Chao & Gong, Jinfeng, 2017. "A multi-model probability SOC fusion estimation approach using an improved adaptive unscented Kalman filter technique," Energy, Elsevier, vol. 141(C), pages 1402-1415.
    17. Alejandro Clemente & Ramon Costa-Castelló, 2020. "Redox Flow Batteries: A Literature Review Oriented to Automatic Control," Energies, MDPI, vol. 13(17), pages 1-31, September.
    18. Jiang, H.R. & Zeng, Y.K. & Wu, M.C. & Shyy, W. & Zhao, T.S., 2019. "A uniformly distributed bismuth nanoparticle-modified carbon cloth electrode for vanadium redox flow batteries," Applied Energy, Elsevier, vol. 240(C), pages 226-235.
    19. Ana-Irina Stroe & Jinhao Meng & Daniel-Ioan Stroe & Maciej Świerczyński & Remus Teodorescu & Søren Knudsen Kær, 2018. "Influence of Battery Parametric Uncertainties on the State-of-Charge Estimation of Lithium Titanate Oxide-Based Batteries," Energies, MDPI, vol. 11(4), pages 1-19, March.
    20. Tang, Xiaopeng & Gao, Furong & Zou, Changfu & Yao, Ke & Hu, Wengui & Wik, Torsten, 2019. "Load-responsive model switching estimation for state of charge of lithium-ion batteries," Applied Energy, Elsevier, vol. 238(C), pages 423-434.

    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:eee:appene:v:211:y:2018:i:c:p:1050-1059. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.