An experimental-based Domino prediction model of thermal runaway propagation in 18,650 lithium-ion battery modules

Currently, the thermal safety issue of lithium-ion battery (LIB) has become a major challenge to restrict its development. In this work, the thermal runaway propagation (TRP) process of the 18,650-type LIB module is studied by experimental and modeling methods. A novel experimental-based Domino prediction model is proposed, which can predict the TRP path and its probability. The calculation part of the model is realized with the Matlab software. This model for the first time proposes that whether the battery thermal runaway (TR) is a probability event, and the probability is a function of its temperature. To verify the feasibility of the model, the TRP process in a 4 x 4 arrangement battery module with three different first TR battery locations is detailed analyzed. The results show that the dangerous level ranking of cell locations from low to high is the corner location, the edge location, and the location near the module center. Higher dangerous level means more maximum probability TRP paths and higher probability. Moreover, it was found that the whole TRP process can be divided into four stages: the TRP trigger stage, the heat accumulation stage, the Domino effect stage, and the TRP stop stage. The proposed model can effectively predict the TRP process in modules, and the results have important reference value for the design of the battery thermal management system and the research on the method of blocking TRP. (c) 2021 Elsevier Ltd. All rights reserved.

Automated summary

The study investigates the thermal runaway propagation process of 18650-type LIB modules and proposes a Domino prediction model to predict TRP paths and probabilities. Results show the dangerous level ranking of cells in the module from low to high is corner, edge, and center positions.