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The Incremental Capacity Curves and Frequency Response Characteristic Evolution of Lithium Titanate Battery during Ultra-High-Rate Discharging Cycles

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Listed:
  • Chu Wang

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    University of Chinese Academy of Sciences, Beijing 100039, China)

  • Yaohong Sun

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    Key Laboratory of Power Electronics and Electric Drive, Beijing 100190, China)

  • Yinghui Gao

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China)

  • Ping Yan

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    University of Chinese Academy of Sciences, Beijing 100039, China)

Abstract

The high-rate discharging performance of lithium titanate batteries is a crucial aspect of their functionality. Under high-power demands, the discharge rate, which is defined as the ratio of discharge current to the maximum capacity, can exceed 50 C or higher. This study investigates the evolution of incremental capacity (IC) curves and frequency response characteristic of 2 Ah lithium titanate batteries subjected to aging cycles at 50 C. The results provide a new indicator to assess the fading of the state of health (SOH) of lithium titanate batteries during ultra-high-rate discharge cycles.

Suggested Citation

  • Chu Wang & Yaohong Sun & Yinghui Gao & Ping Yan, 2023. "The Incremental Capacity Curves and Frequency Response Characteristic Evolution of Lithium Titanate Battery during Ultra-High-Rate Discharging Cycles," Energies, MDPI, vol. 16(8), pages 1-14, April.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3434-:d:1123130
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    References listed on IDEAS

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    1. de Hoog, Joris & Timmermans, Jean-Marc & Ioan-Stroe, Daniel & Swierczynski, Maciej & Jaguemont, Joris & Goutam, Shovon & Omar, Noshin & Van Mierlo, Joeri & Van Den Bossche, Peter, 2017. "Combined cycling and calendar capacity fade modeling of a Nickel-Manganese-Cobalt Oxide Cell with real-life profile validation," Applied Energy, Elsevier, vol. 200(C), pages 47-61.
    2. Liu, Sijia & Winter, Michaela & Lewerenz, Meinert & Becker, Jan & Sauer, Dirk Uwe & Ma, Zeyu & Jiang, Jiuchun, 2019. "Analysis of cyclic aging performance of commercial Li4Ti5O12-based batteries at room temperature," Energy, Elsevier, vol. 173(C), pages 1041-1053.
    3. Chu Wang & Zehui Liu & Yaohong Sun & Yinghui Gao & Ping Yan, 2021. "Aging Behavior of Lithium Titanate Battery under High-Rate Discharging Cycle," Energies, MDPI, vol. 14(17), pages 1-14, September.
    4. Xuebing Han & Minggao Ouyang & Languang Lu & Jianqiu Li, 2014. "Cycle Life of Commercial Lithium-Ion Batteries with Lithium Titanium Oxide Anodes in Electric Vehicles," Energies, MDPI, vol. 7(8), pages 1-15, July.
    5. Jaguemont, J. & Boulon, L. & Dubé, Y., 2016. "A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures," Applied Energy, Elsevier, vol. 164(C), pages 99-114.
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