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Internal resistance and polarization dynamics of lithium-ion batteries upon internal shorting

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  • Noelle, Daniel J.
  • Wang, Meng
  • Le, Anh V.
  • Shi, Yang
  • Qiao, Yu

Abstract

Internal resistance and temperature measurements are made for LIR2450 format LiCoO2/graphite 120 mA h coin cells upon abusive discharge conditions. The dynamic contributions of electrical and ionic resistances to joule heat generation are investigated in the earliest stages of battery failure. It is shown that while ohmic, primarily electrical resistances initially dictate the joule heating rates, polarization, primarily ionic resistances become dominant as time progresses. Ionic conductivity and resistance of LiPF6 salt in ethylene carbonate/ethyl methyl carbonate solvent are examined through concurrent concentration, viscosity, and temperature measurements to elucidate the intricacies of electrolyte polarization. Comparative analysis suggests that upon polarization at high discharge rates, resistance is concentrated in the electrolyte within the cathode region due to rapid depletion of lithium-ions available to facilitate charge transfer. Expected consequences are corroborated in external shorting and nail penetration experiments. The findings are used to predict how a cell would respond if electrical or ionic resistances are exacerbated upon shorting, so as to identify effective thermal runaway mitigation strategies.

Suggested Citation

  • Noelle, Daniel J. & Wang, Meng & Le, Anh V. & Shi, Yang & Qiao, Yu, 2018. "Internal resistance and polarization dynamics of lithium-ion batteries upon internal shorting," Applied Energy, Elsevier, vol. 212(C), pages 796-808.
  • Handle: RePEc:eee:appene:v:212:y:2018:i:c:p:796-808
    DOI: 10.1016/j.apenergy.2017.12.086
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    References listed on IDEAS

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    1. Waag, Wladislaw & Sauer, Dirk Uwe, 2013. "Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination," Applied Energy, Elsevier, vol. 111(C), pages 416-427.
    2. Ping, Ping & Wang, Qingsong & Huang, Peifeng & Sun, Jinhua & Chen, Chunhua, 2014. "Thermal behaviour analysis of lithium-ion battery at elevated temperature using deconvolution method," Applied Energy, Elsevier, vol. 129(C), pages 261-273.
    3. Feng, Xuning & Lu, Languang & Ouyang, Minggao & Li, Jiangqiu & He, Xiangming, 2016. "A 3D thermal runaway propagation model for a large format lithium ion battery module," Energy, Elsevier, vol. 115(P1), pages 194-208.
    4. Basu, Suman & Hariharan, Krishnan S. & Kolake, Subramanya Mayya & Song, Taewon & Sohn, Dong Kee & Yeo, Taejung, 2016. "Coupled electrochemical thermal modelling of a novel Li-ion battery pack thermal management system," Applied Energy, Elsevier, vol. 181(C), pages 1-13.
    5. Zhao, Rui & Liu, Jie & Gu, Junjie, 2016. "Simulation and experimental study on lithium ion battery short circuit," Applied Energy, Elsevier, vol. 173(C), pages 29-39.
    6. Yinjiao Xing & Eden W. M. Ma & Kwok L. Tsui & Michael Pecht, 2011. "Battery Management Systems in Electric and Hybrid Vehicles," Energies, MDPI, vol. 4(11), pages 1-18, October.
    7. Feng, Xuning & Weng, Caihao & Ouyang, Minggao & Sun, Jing, 2016. "Online internal short circuit detection for a large format lithium ion battery," Applied Energy, Elsevier, vol. 161(C), pages 168-180.
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    Cited by:

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    2. Yang, Yang & Yuan, Wei & Zhang, Xiaoqing & Yuan, Yuhang & Wang, Chun & Ye, Yintong & Huang, Yao & Qiu, Zhiqiang & Tang, Yong, 2020. "Overview on the applications of three-dimensional printing for rechargeable lithium-ion batteries," Applied Energy, Elsevier, vol. 257(C).
    3. Li, Xiaoyu & Zhang, Zuguang & Wang, Wenhui & Tian, Yong & Li, Dong & Tian, Jindong, 2020. "Multiphysical field measurement and fusion for battery electric-thermal-contour performance analysis," Applied Energy, Elsevier, vol. 262(C).
    4. Lv, Jie & Lin, Shili & Song, Wenji & Chen, Mingbiao & Feng, Ziping & Li, Yongliang & Ding, Yulong, 2019. "Performance of LiFePO4 batteries in parallel based on connection topology," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    5. Liu, Lishuo & Feng, Xuning & Zhang, Mingxuan & Lu, Languang & Han, Xuebing & He, Xiangming & Ouyang, Minggao, 2020. "Comparative study on substitute triggering approaches for internal short circuit in lithium-ion batteries," Applied Energy, Elsevier, vol. 259(C).
    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).

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