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Improved constitutive model of the jellyroll for cylindrical lithium ion batteries considering microscopic damage

Author

Listed:
  • Yang, Sheng
  • Wang, Wenwei
  • Lin, Cheng
  • Shen, Weixiang
  • Li, Yiding

Abstract

The stiffness of Li-ion batteries is defined as the derivative of force with respect to displacement. The existing constitutive models of the jellyroll of Li-ion batteries reveal that such stiffness keeps increasing as displacement increases. In this study, quasi-static mechanical abusive tests are performed on 18650 cylindrical Li-ion batteries at different state of charge. The experimental results indicate that three distinct stages are identified in the stiffness curve corresponding to densification stage, microscopic damage stage and macroscopic failure stage, and the stiffness only increases in the first stage and decreases in the latter two stages. Therefore, this paper proposes the improved constitutive model of the jellyroll of Li-ion batteries to describe their kinematics considering microscopic damage. An explicit finite element model of a Li-ion battery is established to validate the improved constitutive model. The voltages and temperatures of Li-ion batteries are also recorded to reveal their responses at different stages. It is found that Li-ion batteries at the fully charged state initiate internal short circuit before the end of the stage 2 (microscopic damage stage) whereas Li-ion batteries at low state of charge will only initiate internal short circuit at the stage 3 (macroscopic failure stage).

Suggested Citation

  • Yang, Sheng & Wang, Wenwei & Lin, Cheng & Shen, Weixiang & Li, Yiding, 2019. "Improved constitutive model of the jellyroll for cylindrical lithium ion batteries considering microscopic damage," Energy, Elsevier, vol. 185(C), pages 202-212.
  • Handle: RePEc:eee:energy:v:185:y:2019:i:c:p:202-212
    DOI: 10.1016/j.energy.2019.07.012
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    References listed on IDEAS

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    1. Song, Ziyou & Li, Jianqiu & Hou, Jun & Hofmann, Heath & Ouyang, Minggao & Du, Jiuyu, 2018. "The battery-supercapacitor hybrid energy storage system in electric vehicle applications: A case study," Energy, Elsevier, vol. 154(C), pages 433-441.
    2. 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.
    3. Jia, Yikai & Yin, Sha & Liu, Binghe & Zhao, Hui & Yu, Huili & Li, Jie & Xu, Jun, 2019. "Unlocking the coupling mechanical-electrochemical behavior of lithium-ion battery upon dynamic mechanical loading," Energy, Elsevier, vol. 166(C), pages 951-960.
    4. 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.
    5. Xu, Jun & Liu, Binghe & Wang, Xinyi & Hu, Dayong, 2016. "Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies," Applied Energy, Elsevier, vol. 172(C), pages 180-189.
    6. Wang, WenWei & Yang, Sheng & Lin, Cheng, 2017. "Clay-like mechanical properties for the jellyroll of cylindrical Lithium-ion cells," Applied Energy, Elsevier, vol. 196(C), pages 249-258.
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    Cited by:

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    3. Jiang, Yihui & Xu, Jun & Hou, Wenlong & Mei, Xuesong, 2021. "A stack pressure based equivalent mechanical model of lithium-ion pouch batteries," Energy, Elsevier, vol. 221(C).

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