Computational modelling of thermal runaway propagation potential in lithium iron phosphate battery packs

Bugryniec, Peter J.; Davidson, Jonathan N.; Brown, Solomon

doi:10.1016/j.egyr.2020.03.024

Cited by 33 publications

(10 citation statements)

References 33 publications

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“…The classical paper by Hatchard et al laid the groundwork for thermal abuse models of Li-ion cells using three decomposition reactions: SEI decomposition, reaction of anode and electrolyte, and cathode decomposition (Hatchard et al, 2001). Since then, many studies have built on the original model framework to account for additional reactions (Kim et al, 2007;Ren et al, 2018;Xu et al, 2018), to consider different cell chemistries (Peng and Jiang, 2016;Dong et al, 2018;Bugryniec et al, 2020), to account for aging (Prada et al, 2012;Abada et al, 2018;Larsson et al, 2018), to investigate different thermal management strategies (Chen et al, 2016;Lopez et al, 2016;Bugryniec et al, 2020), and to account for gas generation from decomposition reactions (Coman et al, 2017;Ostanek et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

High Resolution 3-D Simulations of Venting in 18650 Lithium-Ion Cells

Quiroga

Crompton

et al. 2021

Front. Energy Res.

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High temperature gases released through the safety vent of a lithium-ion cell during a thermal runaway event contain flammable components that, if ignited, can increase the risk of thermal runaway propagation to other cells in a multi-cell pack configuration. Computational fluid dynamics (CFD) simulations of flow through detailed geometric models of four vent-activated commercial 18650 lithium-ion cell caps were conducted using two turbulence modeling approaches: Reynolds-averaged Navier-Stokes (RANS) and scale-resolving simulations (SRS). The RANS method was compared with independent experiments of discharge coefficient through the cap across a range of pressure ratios and then used to investigate the ensemble-averaged flow field for the four caps. At high pressure ratios, choked flow occurs either at the current collector plate when flow through the current collector plate is more restrictive or the positive terminal vent holes when flow through the current collector plate is less restrictive. Turbulent mixing occurred within the vent cap assembly, in the jets emerging from the vent holes, and in recirculating zones directly above the vent cap assembly. The global maximum turbulent viscosity ratio (μT/μ) of the MTI, LG MJ1, K2, and LG M36 caps at pressure ratio of P1/P2 = 7 were 4,575, 3,360, 3,855, and 2,993, respectively. SRS and RANS simulations showed that both velocity magnitude and fluctuating velocity magnitude were lower for vent holes which are obstructed by the burst disk. SRS showed high levels of fluctuating velocity in the jets, up to 48.5% of the global maximum velocity. The present CFD models and the resulting insights provide the groundwork for future studies to investigate how jet structure and turbulence levels influence combustion and heat transfer in propagating thermal runaway scenarios.

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Section: Introductionmentioning

confidence: 99%

High Resolution 3-D Simulations of Venting in 18650 Lithium-Ion Cells

Quiroga

Crompton

et al. 2021

Front. Energy Res.

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“…Highly reliable modeling frameworks depend on first-principle methods to determine the advanced material characteristics, fabrication steps, and post-cell assembly features using quantum computational mechanics and statistical equations [349,[488][489][490][491][492][493][494]. Considering all the aspects of excellent electrode materials, such as affordability, security, space, distribution kinetics, endurance, and relevant components, it is challenging to explore such materials due to the stringent laboratory requirements.…”

Section: Computational Designs and Simulationmentioning

confidence: 99%

“…Considering all the aspects of excellent electrode materials, such as affordability, security, space, distribution kinetics, endurance, and relevant components, it is challenging to explore such materials due to the stringent laboratory requirements. On the contrary, the computational simulations could be performing depending on the use of ab initio estimates on substances by adopting fewer electrochemical parameters to fix the lattice mismatch and crystal orientation problems in order to address the concerns discussed so far [491,[495][496][497]. Moreover, we are in the preliminary phase of analyzing next-generation storage devices; therefore, the implementation of a secure database in order to devise guidelines for facilitating an expert search for battery materials is imperative.…”

Section: Computational Designs and Simulationmentioning

confidence: 99%

Growth Mechanism of Micro/Nano Metal Dendrites and Cumulative Strategies for Countering Its Impacts in Metal Ion Batteries: A Review

et al. 2021

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Metal-ion batteries are capable of delivering high energy density with a longer lifespan. However, they are subject to several issues limiting their utilization. One critical impediment is the budding and extension of solid protuberances on the anodic surface, which hinders the cell functionalities. These protuberances expand continuously during the cyclic processes, extending through the separator sheath and leading to electrical shorting. The progression of a protrusion relies on a number of in situ and ex situ factors that can be evaluated theoretically through modeling or via laboratory experimentation. However, it is essential to identify the dynamics and mechanism of protrusion outgrowth. This review article explores recent advances in alleviating metal dendrites in battery systems, specifically alkali metals. In detail, we address the challenges associated with battery breakdown, including the underlying mechanism of dendrite generation and swelling. We discuss the feasible solutions to mitigate the dendrites, as well as their pros and cons, highlighting future research directions. It is of great importance to analyze dendrite suppression within a pragmatic framework with synergy in order to discover a unique solution to ensure the viability of present (Li) and future-generation batteries (Na and K) for commercial use.

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“…The unique thermal control strategy of the hybrid EV system can effectively control the frequent charge and discharge of the lithium ion battery, and eliminate thermal runaway problems such as leakage, smoke, exhaust, rapid disassembly and flames. Bugryniec et al [3] 2020 A computational method was proposed to investigate potential thermal runaway propagation (TRP) in LFP cathode batteries. It was mainly based on the 2D model of the battery pack.…”

Section: Maheswari Et Al [2]mentioning

confidence: 99%

Analysis of the Thermal Behavior of a Lithium Cell Undergoing Thermal Runaway

Du¹,

Fang²

2021

Fluid Dynamics &Amp; Materials Processing

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This study examines the thermal runaway of a lithium ion battery caused by poor heat dissipation performances. The heat transfer process is analyzed on the basis of standard theoretical concepts. Water mist additives are considered as a tool to suppress the thermal runaway process. The ensuing behaviour of the battery in terms of surface temperature and heat generation is analyzed for different charge and discharge rates. It is found that when the remaining charge is 100%, the heat generation rate of the battery is the lowest, and the surface temperature with a 2C charge rate is higher than that obtained for a 0.5C charge rate. The experimental results show that when the additive concentration is 20% NaCl, its ability to inhibit the thermal runaway is the strongest.

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Computational modelling of thermal runaway propagation potential in lithium iron phosphate battery packs

Cited by 33 publications

References 33 publications

High Resolution 3-D Simulations of Venting in 18650 Lithium-Ion Cells

High Resolution 3-D Simulations of Venting in 18650 Lithium-Ion Cells

Growth Mechanism of Micro/Nano Metal Dendrites and Cumulative Strategies for Countering Its Impacts in Metal Ion Batteries: A Review

Analysis of the Thermal Behavior of a Lithium Cell Undergoing Thermal Runaway

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