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Modeling the effect of electrode thickness on the performance of lithium-ion batteries with experimental validation

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  • Xu, Meng
  • Reichman, Benjamin
  • Wang, Xia

Abstract

Manufacturing process for composite electrodes in lithium-ion batteries generally results in non-uniform micro-structure geometrical distribution in the through-thickness direction of a porous electrode. Inhomogeneity of the porous electrode thus affects the lithium ions transport in the electrolyte and their diffusion in the active materials. Quantifying the relationship between mass transport-related parameters and the electrode thickness is very important for studying the effect of the electrode thickness on the performance of lithium-ion batteries. The objective of this work is to study how the Lix(Ni1/3Mn1/3Co1/3)O2 (NMC111) electrode thickness affects the battery performance by developing an improved physics-based electrochemical model. In this model, the Bruggeman coefficient and the effective diffusion coefficient of NMC111 cathode with various thicknesses ranging from 31 μm to 130 μm are estimated by comparing simulation results with experimental data. The proposed electrochemical model is validated experimentally for cells with various electrode thicknesses. The simulation results indicate that increasing electrode thickness reduces the rate capabilities of lithium-ion batteries. The reason is discussed by analyzing the ohmic and diffusion limitation for cells will various electrode thicknesses under different discharge C-rates.

Suggested Citation

  • Xu, Meng & Reichman, Benjamin & Wang, Xia, 2019. "Modeling the effect of electrode thickness on the performance of lithium-ion batteries with experimental validation," Energy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:energy:v:186:y:2019:i:c:s0360544219315361
    DOI: 10.1016/j.energy.2019.115864
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    Citations

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    Cited by:

    1. Silje Nornes Bryntesen & Anders Hammer Strømman & Ignat Tolstorebrov & Paul R. Shearing & Jacob J. Lamb & Odne Stokke Burheim, 2021. "Opportunities for the State-of-the-Art Production of LIB Electrodes—A Review," Energies, MDPI, vol. 14(5), pages 1-41, March.
    2. Astaneh, Majid & Andric, Jelena & Löfdahl, Lennart & Stopp, Peter, 2022. "Multiphysics simulation optimization framework for lithium-ion battery pack design for electric vehicle applications," Energy, Elsevier, vol. 239(PB).
    3. Khan, F.M. NizamUddin & Rasul, Mohammad G. & Sayem, A.S.M. & Mandal, Nirmal K., 2024. "A computational analysis of effects of electrode thickness on the energy density of lithium-ion batteries," Energy, Elsevier, vol. 288(C).
    4. Gao, Yizhao & Zhu, Chong & Zhang, Xi & Guo, Bangjun, 2021. "Implementation and evaluation of a practical electrochemical- thermal model of lithium-ion batteries for EV battery management system," Energy, Elsevier, vol. 221(C).
    5. Tian, Jiaqiang & Fan, Yuan & Pan, Tianhong & Zhang, Xu & Yin, Jianning & Zhang, Qingping, 2024. "A critical review on inconsistency mechanism, evaluation methods and improvement measures for lithium-ion battery energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    6. Kang, Jihyeon & Atwair, Mohamed & Nam, Inho & Lee, Chul-Jin, 2023. "Experimental and numerical investigation on effects of thickness of NCM622 cathode in Li-ion batteries for high energy and power density," Energy, Elsevier, vol. 263(PE).
    7. Li, Changlong & Cui, Naxin & Wang, Chunyu & Zhang, Chenghui, 2021. "Reduced-order electrochemical model for lithium-ion battery with domain decomposition and polynomial approximation methods," Energy, Elsevier, vol. 221(C).

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