Deformation and failure of lithium-ion batteries treated as a discrete layered structure

Zhu, Juner; Li, Wei; Wierzbicki, Tomasz; Xia, Yong; Harding, Jonathon R.

doi:10.1016/j.ijplas.2019.06.011

Cited by 91 publications

(52 citation statements)

References 42 publications

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“…The fitting curves for the coatings present that the uniaxial tensile strengths of the cathode and anode coatings are approximately 2.6 and 4 MPa, respectively. Based on peeling tests in a variety of loading directions, Zhu et al [24] found that the adhesion strength between the coating and current collector varies between 3.0 and 4.5 MPa. They also observed that the effect of loading direction on adhesion strength is small.…”

Section: Uniaxial Tension Propertiesmentioning

confidence: 99%

“…These model-based approaches are capable of predicting the mechanical behaviors of LIBs under mechanical loads, but unable to characterize their internal failure modes accurately. Zhu et al [24] constructed a model of lithium-ion pouch cells including the cathode coating, cathode collector, anode coating, anode collector, and separator layers, which can be used to predict the macroscopic mechanical responses of these cells and characterize their mesoscopic fracture failure modes accurately. Therefore, the layered structure model can reasonably describe the failure modes of the internal cell through the deformation failure of component materials.…”

Section: Introductionmentioning

confidence: 99%

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Constitutive Behavior and Mechanical Failure of Internal Configuration in Prismatic Lithium-Ion Batteries under Mechanical Loading

Chen

Lan

et al. 2021

Energies

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Internal short circuits and thermal runaway in lithium-ion batteries (LIBs) are mainly caused by deformation-induced failures in their internal components. Understanding the mechanisms of mechanical failure in the internal materials is of much importance for the design of LIB pack safety. In this work, the constitutive behaviors and deformation-induced failures of these component materials were tested and simulated. The stress-strain constitutive models of the anode/cathode and the separator under uniaxial tensile and compressive loads were proposed, and maximum tensile strain failure criteria were used to simulate the failure behaviors on these materials under the biaxial indentations. In order to understand the deformation failure mechanisms of ultrathin and multilayer materials within the prismatic cell, a mesoscale layer element model (LEM) with a separator-cathode-separator-anode structure was constructed. The deformation failure of LEM under spherical punches of different sizes was analyzed in detail, and the results were experimentally verified. Furthermore, the n-layer LEM stacked structure numerical model was constructed to calculate the progressive failure mechanisms of cathodes and anodes under punches. The results of test and simulation show the fracture failure of the cathodes under local indentation will trigger the failure of adjacent layers successively, and the internal short circuits are ultimately caused by separator failure owing to fractures and slips in the electrodes. The results improve the understanding of the failure behavior of the component materials in prismatic lithium-ion batteries, and provide some safety suggestions for the battery structure design in the future.

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Section: Uniaxial Tension Propertiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Constitutive Behavior and Mechanical Failure of Internal Configuration in Prismatic Lithium-Ion Batteries under Mechanical Loading

Chen

Lan

et al. 2021

Energies

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“…4 Detailed models may determine the position of the crack and the short circuit, but require rigorous validation testing, which reduces model applicability. 8,19 Computer models that have complex, layered structures need high computational power in even simple loading conditions. Also, constructing FE models consume time to compare to the homogenized models.…”

Section: Introductionmentioning

confidence: 99%

“…Using constant failure for modelling damage decrease viability of model since it needs to be recalculated for each indenter type 4 . Detailed models may determine the position of the crack and the short circuit, but require rigorous validation testing, which reduces model applicability 8,19 . Computer models that have complex, layered structures need high computational power in even simple loading conditions.…”

Section: Introductionmentioning

confidence: 99%

Homogenized pouch cell material modelling and a comparison study

Orhan

Özel

2020

Int J Energy Res

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Simulation of the mechanical response of lithium-ion battery cells is preferably over experimental due to the explosive nature of them. There are several mechanical modelling methods for representing pouch cells; this study introduces a modified homogenized model. The model uses mechanical responses of layers from literature to establish an average behavior of a pouch cell. Data is normalized, then unified tension and compression stress-strain curves are gathered. These properties are used to build a homogenized pouch cell model by using a tension and compression plasticity model. A stress state dependent failure model (GISSMO) is utilized to demonstrate the damage of cell. Finally, experimental studies from literature are employed for validation. As a result, the model simulates peak forces of all experimental studies with a very low deviation. Homogenizing pouch cell with the proposed approach eliminates modeling detail without compromising the overall mechanical response of the cell. The model is seen to be suitable for applications that do not require a precise mechanical response, such as a battery module or pack analysis.

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“…Figure 1. Overview of Technique Flow diagram showing the layered structure of the approach by Li et al1 The first section is described by Zhu et al,6 and the dashed box shows the work described by Li et al1 The icons give an indication of either the nature of the activity or the size of the dataset created at this stage.…”

mentioning

confidence: 99%

Battery Safety: Data-Driven Prediction of Failure

Finegan

Cooper

2019

Joule

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Accurate prediction of battery failure, both online and offline, facilitates design of safer battery systems through informed-engineering and on-line adaption to unfavorable scenarios. With the wide range of batteries available and frequently evolving pack designs, accurate prediction of cell behavior under different conditions is very challenging and extremely time consuming. In this issue of Joule, Li et al. 1 used data from a previously reported finite-element model to train machine learning algorithms to predict whether a cell will undergo an internal short circuit when exposed to a selection of mechanical abuse conditions. The presented approach aims to alleviate, and yet is still limited by, a common challenge facing data-driven prediction methods: access to robust, plentiful, high-quality, and relevant experimental data.

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Deformation and failure of lithium-ion batteries treated as a discrete layered structure

Cited by 91 publications

References 42 publications

Constitutive Behavior and Mechanical Failure of Internal Configuration in Prismatic Lithium-Ion Batteries under Mechanical Loading

Constitutive Behavior and Mechanical Failure of Internal Configuration in Prismatic Lithium-Ion Batteries under Mechanical Loading

Homogenized pouch cell material modelling and a comparison study

Battery Safety: Data-Driven Prediction of Failure

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