Carbon oxides emissions from lithium-ion batteries under thermal runaway from measurements and predictive model

Yun Yang, Zhirong Wang, Pinkun Guo, Shichen Chen, Huan Bian, Xuan Tong, Lei Ni

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

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 °C was higher than that at the ambient temperature of 220 °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.

Original languageEnglish
Article number101863
JournalJournal of Energy Storage
Volume33
DOIs
StatePublished - Jan 2021

Keywords

  • Bayesian prior probability distribution theory
  • Lithium-ion battery
  • Release gas
  • Thermal runaway

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