Abstract

Thermal runaway is always a troublesome problem that hinders the safe application of high energy lithium-ion batteries. There is an urgent need to interpret the voltage and temperature changes and their underlying mechanisms during thermal runaway, in order to guide the safe design of a battery system. This paper is dedicated to building a coupled electrochemical-thermal model that can well predict the voltage drop and temperature increase during thermal runaway. The model can capture the underlying mechanism of ① the capacity degradation under high temperature; ② the internal short circuit caused by the thermal failure of the separator; and ③ the chemical reactions of the cell components that release heat under extreme temperature. The model is validated using by experimental data, therefore the modeling analysis has high fidelity. We employ the model to analyze 1) the capacity degradation under extreme temperature; 2) the influence of the SEI decomposition and regeneration on the thermal runaway behavior; 3) the heat generation by internal short circuit in the thermal runaway process. The discussions presented here help extend the usage of lithium-ion batteries at extreme high temperature (>80°C), and guide the safe design of lithium-ion batteries with less hazard level during thermal runaway.

Highlights

  • The modeling analysis that discusses capacity degradation under extreme temperatures can be used to extend the usage of lithium-ion batteries at extreme high temperature

  • The discussion on the critical parameters relating with the ISC process benefits the safety design of lithium-ion battery with lower hazard levels during TR

  • Our modeling analysis studied the influence of the SEI decomposition and regeneration on the TR behavior

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Summary

SEI decomposition

Where dcSdEI dt refers to the decomposition rate of SEI, ASEI is the preexponential factor, cSEI is the normalized concentration of SEI, Ea,SEI is the activation energy, R0 = 8.314J · mol−1 · K−1 is the molar gas constant, T is temperature in the model.

Li reacts with electrolyte at the anode interface
Loss of lithium inventory
SEI regeneration
Resistance growth
Results and Discussion
Summary
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