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A pseudo three-dimensional electrochemical–thermal model of a prismatic LiFePO4 battery during discharge process

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  • Xu, Meng
  • Zhang, Zhuqian
  • Wang, Xia
  • Jia, Li
  • Yang, Lixin

Abstract

A lithium ion battery consists of numerous electrochemical cell units. Thermal and electrical behaviors of these local cell units have great influence on the battery's performance and safety. To study the relationship between the cell units and the battery cell, a pseudo 3D (three-dimensional) model was developed for a prismatic LiFePO4 battery by coupling the mass, charge, and energy conservations, as well as the cell electrochemical kinetics. The model treated the battery with current collecting tabs as 3D and the local cell units as 1D. Both electrochemical and thermal characteristics of the battery were studied by using this simplified model during the discharge process. A uniformity index characterizing the SOC (state of charge) distributions among 1D cell units was also introduced. This index was used to investigate the effects of the tab placement on the uniformity of the battery cell. The placement of the positive and negative current collecting tabs on the prismatic battery was found to have a significant effect on the distributions of its potential and local reaction rates, which therefore affect the heat generation rate, and thus the temperature distribution within the battery.

Suggested Citation

  • Xu, Meng & Zhang, Zhuqian & Wang, Xia & Jia, Li & Yang, Lixin, 2015. "A pseudo three-dimensional electrochemical–thermal model of a prismatic LiFePO4 battery during discharge process," Energy, Elsevier, vol. 80(C), pages 303-317.
    • Handle: RePEc:eee:energy:v:80:y:2015:i:c:p:303-317
    DOI: 10.1016/j.energy.2014.11.073
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    References listed on IDEAS

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    1. Kang, Jianqiang & Yan, Fuwu & Zhang, Pei & Du, Changqing, 2014. "Comparison of comprehensive properties of Ni-MH (nickel-metal hydride) and Li-ion (lithium-ion) batteries in terms of energy efficiency," Energy, Elsevier, vol. 70(C), pages 618-625.
    2. Hu, Xiaosong & Li, Shengbo Eben & Jia, Zhenzhong & Egardt, Bo, 2014. "Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles," Energy, Elsevier, vol. 64(C), pages 953-960.
    3. Krieger, Elena M. & Cannarella, John & Arnold, Craig B., 2013. "A comparison of lead-acid and lithium-based battery behavior and capacity fade in off-grid renewable charging applications," Energy, Elsevier, vol. 60(C), pages 492-500.
    4. Zhang, Xiongwen & Kong, Xin & Li, Guojun & Li, Jun, 2014. "Thermodynamic assessment of active cooling/heating methods for lithium-ion batteries of electric vehicles in extreme conditions," Energy, Elsevier, vol. 64(C), pages 1092-1101.
    5. Fathabadi, Hassan, 2014. "High thermal performance lithium-ion battery pack including hybrid active–passive thermal management system for using in hybrid/electric vehicles," Energy, Elsevier, vol. 70(C), pages 529-538.
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