A semi reduced-order model for multi-scale simulation of fire propagation of lithium-ion batteries in energy storage system

电池(电) 热失控 储能 模拟 汽车工程 计算机科学 核工程 工程类 功率(物理) 物理 量子力学
作者
Gongquan Wang,Ping Ping,Rongqi Peng,Hongpeng Lv,Hengle Zhao,Wei Gao,Depeng Kong
出处
期刊:Renewable & Sustainable Energy Reviews [Elsevier BV]
卷期号:186: 113672-113672 被引量:15
标识
DOI:10.1016/j.rser.2023.113672
摘要

Thermal runaway (TR) and the resulting fire propagation are still critical issues puzzling the application of lithium-ion batteries in energy storage system (ESS). A fire propagation model including accurate TR propagating process assists in understanding the battery failure mechanism and determining the safety-optimal design of ESS, while its development is hindered by the complexity of simulating large-scale spatial system and interactions between TR and fire. In this work, a coupled semi reduced-order model (SROM) toward real-scale ESS is developed to capture battery TR and fire propagation behavior. Wherein, meshless methods are implemented for battery cluster by constructing thermal resistance network to simulate heat generation and transfer, which simultaneously couples a mass flowing network to address gas generation and subsequent jet. Full-order CFD model is adopted to simulate burning behavior in external fluid with higher precision. This model can accurately capture cross-scale parameters, including temperature evolution at cell-level and heat release rates (HRR) at system-level, as confirmed by experiments. Simulation results elucidate the failure propagation mode and mechanism from cell-to-cell to module-to-module levels. The significant impact of triggering position on fire behavior is also revealed that TR originating from the cluster center causes rapider fire growth and larger peak HRR during fire propagation. The SROM covers entire phenomena chain from cell-level to system-level, which can serve as new guidelines for designing and running safer ESS.
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