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A Review of Lithium-Air Battery Modeling Studies

Author

Listed:
  • Kisoo Yoo

    (School of Mechanical Engineering, Yeungnam University, Gyeongsan 38541, Korea)

  • Soumik Banerjee

    (School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920, USA)

  • Jonghoon Kim

    (Department of Electrical Engineering, Chungnam National University, Daejeon 34134, Korea)

  • Prashanta Dutta

    (School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920, USA)

Abstract

Li-air batteries have attracted interest as energy storage devices due to their high energy and power density. Li-air batteries are expected to revolutionize the automobile industry (for use in electric and hybrid vehicles) and electrochemical energy storage systems by surpassing the energy capacities of conventional Li-ion batteries. However, the practical implementation of Li-air batteries is still hindered by many challenges, such as low cyclic performance and high charging voltage, resulting from oxygen transport limitations, electrolyte degradation, and the formation of irreversible reduction products. Therefore, various methodologies have been attempted to mitigate the issues causing performance degradation of Li-air batteries. Among myriad studies, theoretical and numerical modeling are powerful tools for describing and investigating the chemical reactions, reactive ion transportation, and electrical performance of batteries. Herein, we review the various multi-physics/scale models used to provide mechanistic insights into processes in Li-air batteries and relate these to overall battery performance. First, continuum-based models describing ion transport, pore blocking phenomena, and reduction product precipitation are presented. Next, atomistic modeling-based studies that provide an understanding of the reaction mechanisms in oxygen evolution reaction (OER) and oxygen reduction reaction (ORR), as well as ion–ion interactions in the electrolyte, are described.

Suggested Citation

  • Kisoo Yoo & Soumik Banerjee & Jonghoon Kim & Prashanta Dutta, 2017. "A Review of Lithium-Air Battery Modeling Studies," Energies, MDPI, vol. 10(11), pages 1-42, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1748-:d:117213
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    References listed on IDEAS

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    1. Li, Xianglin & Huang, Jing & Faghri, Amir, 2015. "Modeling study of a Li–O2 battery with an active cathode," Energy, Elsevier, vol. 81(C), pages 489-500.
    2. Shichao Wu & Yu Qiao & Sixie Yang & Masayoshi Ishida & Ping He & Haoshen Zhou, 2017. "Organic hydrogen peroxide-driven low charge potentials for high-performance lithium-oxygen batteries with carbon cathodes," Nature Communications, Nature, vol. 8(1), pages 1-9, August.
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    Cited by:

    1. Tian, Pengjie & Liu, Xuejun & Luo, Kaiyao & Li, Hongkun & Wang, Yun, 2021. "Deep learning from three-dimensional multiphysics simulation in operational optimization and control of polymer electrolyte membrane fuel cell for maximum power," Applied Energy, Elsevier, vol. 288(C).
    2. Hayat, K. & Vega, L.F. & AlHajaj, A., 2022. "What have we learned by multiscale models on improving the cathode storage capacity of Li-air batteries? Recent advances and remaining challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).

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