Journal
JOURNAL OF ENERGY STORAGE
Volume 33, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.est.2020.101863
Keywords
Lithium-ion battery; Thermal runaway; Release gas; Bayesian prior probability distribution theory
Categories
Funding
- National Natural Science Foundation of China [51874184]
- Key R&D programs (Social Development) in Jiangsu Province [BE2016771]
- Key Natural Science Foundation in Jiangsu Province [18KJA620003]
- Postgraduate Research & Practice Innovation Program of Jiangsu Province [SJCX19-0222]
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A concentration test device was set up to study and analyze the thermal runaway gas production process in lithium-ion batteries. Experimental conditions were determined by the influence of different external environments and gas flow rates on the process, leading to findings that different state of charge, ambient temperature, and electric heating power affect the concentrations of CO and CO2 produced in the thermal runaway process.
A concentration test device was set up to study and analyze the thermal runaway gas production process in lithium-ion batteries. The experimental conditions for the research were determined by the influence of different external environments and gas flow rates on the thermal runaway process. Gas measurement and analysis of CO and CO2 generated in thermal runaway process under different states of charge (SOCs), different ambient temperatures and different electric heating power were conducted. The following results were obtained. Under different SOCs, the concentrations of CO and CO2 decreased as the charge capacity of the lithium-ion batteries decreased. Under different ambient temperatures, the concentration of CO2 decreased with the decrease of the ambient temperature. However, the concentration of CO at the ambient temperature of 180 degrees C was higher than that at the ambient temperature of 220 degrees C. Under different electric heating power, the concentrations of CO and CO2 decreased with the decrease of the electric heating power. Besides, Bayesian prior probability distribution theory was adopted to analyze the variations of CO concentration relative to time in the thermal runaway process, the results of which can predict thermal runaway state of lithium-ion batteries. The findings can serve to provide reference for accident prevention and control of thermal runaway of lithium-ion batteries.
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