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Characterisation and modelling of potassium-ion batteries

Author

Listed:
  • Shobhan Dhir

    (University of Oxford)

  • John Cattermull

    (University of Oxford
    University of Oxford)

  • Ben Jagger

    (University of Oxford)

  • Maximilian Schart

    (University of Oxford)

  • Lorenz F. Olbrich

    (University of Oxford)

  • Yifan Chen

    (University of Oxford)

  • Junyi Zhao

    (University of Oxford)

  • Krishnakanth Sada

    (University of Oxford)

  • Andrew Goodwin

    (University of Oxford)

  • Mauro Pasta

    (University of Oxford)

Abstract

Potassium-ion batteries (KIBs) are emerging as a promising alternative technology to lithium-ion batteries (LIBs) due to their significantly reduced dependency on critical minerals. KIBs may also present an opportunity for superior fast-charging compared to LIBs, with significantly faster K-ion electrolyte transport properties already demonstrated. In the absence of a viable K-ion electrolyte, a full-cell KIB rate model in commercial cell formats is required to determine the fast-charging potential for KIBs. However, a thorough and accurate characterisation of the critical electrode material properties determining rate performance—the solid state diffusivity and exchange current density—has not yet been conducted for the leading KIB electrode materials. Here, we accurately characterise the effective solid state diffusivities and exchange current densities of the graphite negative electrode and potassium manganese hexacyanoferrate $${{{{\rm{K}}}}}_{2}{{{\rm{Mn}}}}[{{{\rm{Fe}}}}{({{{\rm{CN}}}})}_{6}]$$ K 2 Mn [ Fe ( CN ) 6 ] (KMF) positive electrode, through a combination of optimised material design and state-of-the-art analysis. Finally, we present a Doyle-Fuller-Newman model of a KIB full cell with realistic geometry and loadings, identifying the critical materials properties that limit their rate capability.

Suggested Citation

  • Shobhan Dhir & John Cattermull & Ben Jagger & Maximilian Schart & Lorenz F. Olbrich & Yifan Chen & Junyi Zhao & Krishnakanth Sada & Andrew Goodwin & Mauro Pasta, 2024. "Characterisation and modelling of potassium-ion batteries," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51537-w
    DOI: 10.1038/s41467-024-51537-w
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    References listed on IDEAS

    as
    1. Shobhan Dhir & Ben Jagger & Alen Maguire & Mauro Pasta, 2023. "Fundamental investigations on the ionic transport and thermodynamic properties of non-aqueous potassium-ion electrolytes," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Leqing Deng & Jiale Qu & Xiaogang Niu & Juzhe Liu & Juan Zhang & Youran Hong & Meiying Feng & Jiangwei Wang & Miao Hu & Liang Zeng & Qianfan Zhang & Lin Guo & Yujie Zhu, 2021. "Defect-free potassium manganese hexacyanoferrate cathode material for high-performance potassium-ion batteries," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    3. James T. Frith & Matthew J. Lacey & Ulderico Ulissi, 2023. "A non-academic perspective on the future of lithium-based batteries," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    4. Hongbo Zhao & Haitao Dean Deng & Alexander E. Cohen & Jongwoo Lim & Yiyang Li & Dimitrios Fraggedakis & Benben Jiang & Brian D. Storey & William C. Chueh & Richard D. Braatz & Martin Z. Bazant, 2023. "Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel," Nature, Nature, vol. 621(7978), pages 289-294, September.
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