4.7 Article

Thermal simulation and prediction of high-energy LiNi0.8Co0.15Al0.05O2//Si-C pouch battery during rapid discharging

期刊

JOURNAL OF ENERGY STORAGE
卷 47, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.est.2021.103536

关键词

Thermal behavior; Thermal simulation; LiNi0.8Co0.15Al0.05O2 cathode; Si-C anode; Pouch battery; Lithium ion battery

资金

  1. National Key R&D Program of China: Tracking Key Technology for Development and Industrialization of Power Lithium Ion Battery with High Specific Energy [2016YFB0100508]
  2. Experimental Center of Materials Sciences and Engineering at Beijing Institute of Technology
  3. Beijing Institute of Technology Teli Young Fellow Program [3090011181903]

向作者/读者索取更多资源

This paper presents research on the thermal behavior of high-energy LiNi0.8Co0.15Al0.05O2//Si-C pouch battery under different current rates and ambient temperatures. By using electrochemical calorimetry and finite element analysis, the heat generation rate and temperature distribution of the battery are calculated. The results show that the temperature gradient of the battery increases with the discharge rate, and the simulation results are consistent with experimental measurements.
Accurate thermal simulation of lithium-ion batteries is of great significance for evaluating and predicting the battery performance to avoid safety hazards. In this paper, research focused on the effects of current rates and ambient temperature on the thermal behavior of high-energy LiNi0.8Co0.15Al0.05O2//Si-C pouch battery is presented. The heat generation rate as a function of discharge rate is calculated by the means of electrochemical calorimetric study. Then by using the finite element analysis method, a three-dimensional model is developed to predict the battery temperature distribution at different discharge rates (0.33, 1.0, 3.0, and 5.0 C). The results reveal a minimum temperature difference of less than 1 degrees C between simulations and experiments even at 5.0 C rate. Notably, the increased rate leads to an enlarged temperature gradient field of battery, where the maximum battery temperature appears at its geometric center, then it gradually decreases from the center to edges in an annular gradient radiation manner. Accordingly, the simulation results provide a comprehensive evaluation and prediction for the thermal behavior of high-energy battery, which are well consistent with the experimental measurements.

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