IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v194y2017icp530-539.html
   My bibliography  Save this article

A microscopic investigation of ion and electron transport in lithium-ion battery porous electrodes using the lattice Boltzmann method

Author

Listed:
  • Jiang, Z.Y.
  • Qu, Z.G.
  • Zhou, L.
  • Tao, W.Q.

Abstract

Improving the cycle life and reliability of a battery is an important issue in lithium-ion battery (LIB) applications. Except for the material properties of the battery electrodes, the morphological features of LIBs also have a great influence on battery performance. In order to identify the relation between the morphological features of the electrodes and the macroscopic battery performance, a two-dimensional (2D) lattice Boltzmann model of ion and electron transport within LIB porous electrodes is presented in this study. The proposed model is superior to previous finite element method (FEM)-based models by providing a more convenient geometry generation process and a more efficient calculation technique. In the simulation, the lattice Boltzmann method (LBM) is utilized to solve the governing equations for ion and electron transport. The quartet structure generation set (QSGS) is employed to generate the electrode geometry with circular particles. The effects of the electrode micro-structure on the local concentration distribution, electric potential, and macroscopic discharge performance are investigated. Results show that the LBM is an optional approach in solving problems related to mass transport and electrochemical reactions. For the electrode particles, the obvious variations in local lithium concentration and electric potential prove that the electrode microstructure can influence the microscopic lithium transport; specifically, the lithium exchange is improved for smaller particle sizes. As for discharge performance, larger discharge depth can be achieved by a smaller cathode particle size and a larger cathode porosity. Meanwhile, a larger anode particle size and a smaller anode porosity both contribute to a larger discharge depth.

Suggested Citation

  • Jiang, Z.Y. & Qu, Z.G. & Zhou, L. & Tao, W.Q., 2017. "A microscopic investigation of ion and electron transport in lithium-ion battery porous electrodes using the lattice Boltzmann method," Applied Energy, Elsevier, vol. 194(C), pages 530-539.
    • Handle: RePEc:eee:appene:v:194:y:2017:i:c:p:530-539
    DOI: 10.1016/j.apenergy.2016.10.125
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916315756
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.10.125?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. Su, Laisuo & Zhang, Jianbo & Wang, Caijuan & Zhang, Yakun & Li, Zhe & Song, Yang & Jin, Ting & Ma, Zhao, 2016. "Identifying main factors of capacity fading in lithium ion cells using orthogonal design of experiments," Applied Energy, Elsevier, vol. 163(C), pages 201-210.
    2. Abdel Monem, Mohamed & Trad, Khiem & Omar, Noshin & Hegazy, Omar & Mantels, Bart & Mulder, Grietus & Van den Bossche, Peter & Van Mierlo, Joeri, 2015. "Lithium-ion batteries: Evaluation study of different charging methodologies based on aging process," Applied Energy, Elsevier, vol. 152(C), pages 143-155.
    3. Miranda, D. & Costa, C.M. & Almeida, A.M. & Lanceros-Méndez, S., 2016. "Computer simulations of the influence of geometry in the performance of conventional and unconventional lithium-ion batteries," Applied Energy, Elsevier, vol. 165(C), pages 318-328.
    4. Zhao, Rui & Liu, Jie & Gu, Junjie, 2015. "The effects of electrode thickness on the electrochemical and thermal characteristics of lithium ion battery," Applied Energy, Elsevier, vol. 139(C), pages 220-229.
    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. Wang, Bin & Wang, Shifeng & Tang, Yuanyuan & Tsang, Chi-Wing & Dai, Jinchuan & Leung, Michael K.H. & Lu, Xiao-Ying, 2019. "Micro/nanostructured MnCo2O4.5 anodes with high reversible capacity and excellent rate capability for next generation lithium-ion batteries," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    2. Jiang, Z.Y. & Qu, Z.G., 2019. "Lithium–ion battery thermal management using heat pipe and phase change material during discharge–charge cycle: A comprehensive numerical study," Applied Energy, Elsevier, vol. 242(C), pages 378-392.
    3. Wang, Yulin & Xu, Haokai & Zhang, Zhe & Li, Hua & Wang, Xiaodong, 2022. "Lattice Boltzmann simulation of a gas diffusion layer with a gradient polytetrafluoroethylene distribution for a proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 320(C).
    4. Xiong, Ruoyu & Zhang, Tengfang & Huang, Tianlun & Li, Maoyuan & Zhang, Yun & Zhou, Huamin, 2020. "Improvement of electrochemical homogeneity for lithium-ion batteries enabled by a conjoined-electrode structure," Applied Energy, Elsevier, vol. 270(C).
    5. Hou, Yuze & Deng, Hao & Pan, Fengwen & Chen, Wenmiao & Du, Qing & Jiao, Kui, 2019. "Pore-scale investigation of catalyst layer ingredient and structure effect in proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Qiu, Diankai & Janßen, Holger & Peng, Linfa & Irmscher, Philipp & Lai, Xinmin & Lehnert, Werner, 2018. "Electrical resistance and microstructure of typical gas diffusion layers for proton exchange membrane fuel cell under compression," Applied Energy, Elsevier, vol. 231(C), pages 127-137.

    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. Guan, Ting & Sun, Shun & Gao, Yunzhi & Du, Chunyu & Zuo, Pengjian & Cui, Yingzhi & Zhang, Lingling & Yin, Geping, 2016. "The effect of elevated temperature on the accelerated aging of LiCoO2/mesocarbon microbeads batteries," Applied Energy, Elsevier, vol. 177(C), pages 1-10.
    2. Liao, Xiaolin & Sun, Peiyi & Xu, Mengqing & Xing, Lidan & Liao, Youhao & Zhang, Liping & Yu, Le & Fan, Weizhen & Li, Weishan, 2016. "Application of tris(trimethylsilyl)borate to suppress self-discharge of layered nickel cobalt manganese oxide for high energy battery," Applied Energy, Elsevier, vol. 175(C), pages 505-511.
    3. Wang, Shunli & Shang, Liping & Li, Zhanfeng & Deng, Hu & Li, Jianchao, 2016. "Online dynamic equalization adjustment of high-power lithium-ion battery packs based on the state of balance estimation," Applied Energy, Elsevier, vol. 166(C), pages 44-58.
    4. Ghassemi, Alireza & Chakraborty Banerjee, Parama & Hollenkamp, Anthony F. & Zhang, Zhe & Bahrani, Behrooz, 2021. "Effects of alternating current on Li-ion battery performance: Monitoring degradative processes with in-situ characterization techniques," Applied Energy, Elsevier, vol. 284(C).
    5. Miranda, D. & Costa, C.M. & Almeida, A.M. & Lanceros-Méndez, S., 2018. "Computer simulation of the influence of thermal conditions on the performance of conventional and unconventional lithium-ion battery geometries," Energy, Elsevier, vol. 149(C), pages 262-278.
    6. Miranda, D. & Almeida, A.M. & Lanceros-Méndez, S. & Costa, C.M., 2019. "Effect of the active material type and battery geometry on the thermal behavior of lithium-ion batteries," Energy, Elsevier, vol. 185(C), pages 1250-1262.
    7. Li, Xue & Jiang, Jiuchun & Wang, Le Yi & Chen, Dafen & Zhang, Yanru & Zhang, Caiping, 2016. "A capacity model based on charging process for state of health estimation of lithium ion batteries," Applied Energy, Elsevier, vol. 177(C), pages 537-543.
    8. Donghyeon Yoo & Jinhwan Park & Jaemin Moon & Changwan Kim, 2021. "Reliability-Based Design Optimization for Reducing the Performance Failure and Maximizing the Specific Energy of Lithium-Ion Batteries Considering Manufacturing Uncertainty of Porous Electrodes," Energies, MDPI, vol. 14(19), pages 1-15, September.
    9. Tao, Laifa & Cheng, Yujie & Lu, Chen & Su, Yuzhuan & Chong, Jin & Jin, Haizu & Lin, Yongshou & Noktehdan, Azadeh, 2017. "Lithium-ion battery capacity fading dynamics modelling for formulation optimization: A stochastic approach to accelerate the design process," Applied Energy, Elsevier, vol. 202(C), pages 138-152.
    10. Lybbert, M. & Ghaemi, Z. & Balaji, A.K. & Warren, R., 2021. "Integrating life cycle assessment and electrochemical modeling to study the effects of cell design and operating conditions on the environmental impacts of lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    11. Yang, Yue & Chen, Lei & Yang, Lijun & Du, Xiaoze & Yang, Yongping, 2020. "Capacity fade characteristics of lithium iron phosphate cell during dynamic cycle," Energy, Elsevier, vol. 206(C).
    12. Abdel-Monem, Mohamed & Trad, Khiem & Omar, Noshin & Hegazy, Omar & Van den Bossche, Peter & Van Mierlo, Joeri, 2017. "Influence analysis of static and dynamic fast-charging current profiles on ageing performance of commercial lithium-ion batteries," Energy, Elsevier, vol. 120(C), pages 179-191.
    13. Boshi Wang & Haitao Min & Weiyi Sun & Yuanbin Yu, 2021. "Research on Optimal Charging of Power Lithium-Ion Batteries in Wide Temperature Range Based on Variable Weighting Factors," Energies, MDPI, vol. 14(6), pages 1-21, March.
    14. Li, Yunjian & Li, Kuining & Xie, Yi & Liu, Jiangyan & Fu, Chunyun & Liu, Bin, 2020. "Optimized charging of lithium-ion battery for electric vehicles: Adaptive multistage constant current–constant voltage charging strategy," Renewable Energy, Elsevier, vol. 146(C), pages 2688-2699.
    15. Singh, Deepak Kumar & Tirkey, Jeewan Vachan, 2022. "Performance optimization through response surface methodology of an integrated coal gasification and CI engine fuelled with diesel and low-grade coal-based producer gas," Energy, Elsevier, vol. 238(PC).
    16. Jie Yang & Chunyu Du & Ting Wang & Yunzhi Gao & Xinqun Cheng & Pengjian Zuo & Yulin Ma & Jiajun Wang & Geping Yin & Jingying Xie & Bo Lei, 2018. "Rapid Prediction of the Open-Circuit-Voltage of Lithium Ion Batteries Based on an Effective Voltage Relaxation Model," Energies, MDPI, vol. 11(12), pages 1-15, December.
    17. Lazaroiu, Gheorghe & Pop, Elena & Negreanu, Gabriel & Pisa, Ionel & Mihaescu, Lucian & Bondrea, Andreya & Berbece, Viorel, 2017. "Biomass combustion with hydrogen injection for energy applications," Energy, Elsevier, vol. 127(C), pages 351-357.
    18. Xiong, Rui & Sun, Wanzhou & Yu, Quanqing & Sun, Fengchun, 2020. "Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles," Applied Energy, Elsevier, vol. 279(C).
    19. Zhang, Caiping & Jiang, Yan & Jiang, Jiuchun & Cheng, Gong & Diao, Weiping & Zhang, Weige, 2017. "Study on battery pack consistency evolutions and equilibrium diagnosis for serial- connected lithium-ion batteries," Applied Energy, Elsevier, vol. 207(C), pages 510-519.
    20. Zhenhai Gao & Xiaoting Zhang & Yang Xiao & Hao Gao & Huiyuan Wang & Changhao Piao, 2019. "Influence of Low-Temperature Charge on the Mechanical Integrity Behavior of 18650 Lithium-Ion Battery Cells Subject to Lateral Compression," Energies, MDPI, vol. 12(5), pages 1-17, February.

    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:194:y:2017:i:c:p:530-539. 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.