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Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies

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  • Xu, Jun
  • Liu, Binghe
  • Wang, Xinyi
  • Hu, Dayong

Abstract

Highly nonlinear structures and constituent materials and hazardous experiment situations have resulted in a pressing need for a numerical mechanical model for lithium-ion battery (LIB). However, such a model is still not well established. In this paper, an anisotropic homogeneous model describing the jellyroll and the battery shell is established and validated through compression, indentation, and bending tests at quasi-static loadings. In this model, state-of-charge (SOC) dependency of the LIB is further included through an analogy with the strain-rate effect. Moreover, with consideration of the inertia and strain-rate effects, the anisotropic homogeneous model is extended into the dynamic regime and proven capable of predicting the dynamic response of the LIB using the drop-weight test. The established model may help to predict extreme cases with high SOCs and crashing speeds with an over 135% improved accuracy compared to traditional models. The established coupled strain rate and SOC dependencies of the numerical mechanical model for the LIB aims to provide a solid step toward unraveling and quantifying the complicated problems for research on LIB mechanical integrity.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:172:y:2016:i:c:p:180-189
    DOI: 10.1016/j.apenergy.2016.03.108
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    References listed on IDEAS

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    2. Zhang, Guangxu & Wei, Xuezhe & Tang, Xuan & Zhu, Jiangong & Chen, Siqi & Dai, Haifeng, 2021. "Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
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    5. Genwei Wang & Xuanfu Guo & Jingyi Chen & Pengfei Han & Qiliang Su & Meiqing Guo & Bin Wang & Hui Song, 2023. "Safety Performance and Failure Criteria of Lithium-Ion Batteries under Mechanical Abuse," Energies, MDPI, vol. 16(17), pages 1-25, September.
    6. Zhenhai Gao & Xiaoting Zhang & Yang Xiao & Hao Gao & Huiyuan Wang & Changhao Piao, 2019. "Influence of Low-Temperature Charge on the Mechanical Integrity Behavior of 18650 Lithium-Ion Battery Cells Subject to Lateral Compression," Energies, MDPI, vol. 12(5), pages 1-17, February.
    7. Zhu, Juner & Zhang, Xiaowei & Luo, Hailing & Sahraei, Elham, 2018. "Investigation of the deformation mechanisms of lithium-ion battery components using in-situ micro tests," Applied Energy, Elsevier, vol. 224(C), pages 251-266.
    8. Jingyi Chen & Genwei Wang & Hui Song & Bin Wang & Guiying Wu & Jianyin Lei, 2022. "Stress and Displacement of Cylindrical Lithium-Ion Power Battery during Charging and Discharging," Energies, MDPI, vol. 15(21), pages 1-22, November.
    9. Tao, Laifa & Ma, Jian & Cheng, Yujie & Noktehdan, Azadeh & Chong, Jin & Lu, Chen, 2017. "A review of stochastic battery models and health management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 716-732.
    10. Ren, Dongsheng & Feng, Xuning & Lu, Languang & He, Xiangming & Ouyang, Minggao, 2019. "Overcharge behaviors and failure mechanism of lithium-ion batteries under different test conditions," Applied Energy, Elsevier, vol. 250(C), pages 323-332.
    11. Lingxiao Zhu & Yong Xia & Yuanjie Liu & Yulong Ge & Lin Wang & Lei Zhang, 2021. "Extending a Homogenized Model for Characterizing Multidirectional Jellyroll Failure in Prismatic Lithium-Ion Batteries," Energies, MDPI, vol. 14(12), pages 1-15, June.
    12. 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.
    13. Hafiz Fadillah & Sigit Puji Santosa & Leonardo Gunawan & Akbar Afdhal & Agus Purwanto, 2020. "Dynamic High Strain Rate Characterization of Lithium-Ion Nickel–Cobalt–Aluminum (NCA) Battery Using Split Hopkinson Tensile/Pressure Bar Methodology," Energies, MDPI, vol. 13(19), pages 1-26, September.
    14. 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.
    15. Golriz Kermani & Elham Sahraei, 2017. "Review: Characterization and Modeling of the Mechanical Properties of Lithium-Ion Batteries," Energies, MDPI, vol. 10(11), pages 1-25, October.
    16. Donateo, Teresa & Ficarella, Antonio & Spedicato, Luigi & Arista, Alessandro & Ferraro, Marco, 2017. "A new approach to calculating endurance in electric flight and comparing fuel cells and batteries," Applied Energy, Elsevier, vol. 187(C), pages 807-819.
    17. Wenwei, Wang & Yiding, Li & Cheng, Lin & Yuefeng, Su & Sheng, Yang, 2019. "State of charge-dependent failure prediction model for cylindrical lithium-ion batteries under mechanical abuse," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    18. Dongchen Qin & Peizhuo Wang & Tingting Wang & Jiangyi Chen, 2023. "Modeling and Dynamic Impact Analysis of Prismatic Lithium-Ion Battery," Sustainability, MDPI, vol. 15(10), pages 1-12, May.
    19. Qingxia Yang & Jun Xu & Binggang Cao & Xiuqing Li, 2017. "A simplified fractional order impedance model and parameter identification method for lithium-ion batteries," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-13, February.
    20. Ren, Dongsheng & Liu, Xiang & Feng, Xuning & Lu, Languang & Ouyang, Minggao & Li, Jianqiu & He, Xiangming, 2018. "Model-based thermal runaway prediction of lithium-ion batteries from kinetics analysis of cell components," Applied Energy, Elsevier, vol. 228(C), pages 633-644.
    21. Pan, Yongjun & Zhang, Xiaoxi & Liu, Yue & Wang, Huacui & Cao, Yangzheng & Liu, Xin & Liu, Binghe, 2022. "Dynamic behavior prediction of modules in crushing via FEA-DNN technique for durable battery-pack system design," Applied Energy, Elsevier, vol. 322(C).
    22. Liu, Binghe & Yin, Sha & Xu, Jun, 2016. "Integrated computation model of lithium-ion battery subject to nail penetration," Applied Energy, Elsevier, vol. 183(C), pages 278-289.

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