Investigation of the swelling failure of lithium-ion battery packs at low temperatures using 2D/3D X-ray computed tomography

Chen, Chengcheng; Wei, Yong Feng; Zhao, Zhigang; Zou, Yabing; Luo, Dijun

doi:10.1016/j.electacta.2019.03.038

Cited by 36 publications

(10 citation statements)

References 27 publications

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“…This has more recently been followed by the work of Robinson et al, in which the failure of lithium and sodium cells were compared using lab-based instruments (Fig. 3b) [77], and work by Chen et al investigating the swelling failure experienced during low-temperature operation [78].…”

Section: X-ray Characterisation Of Libsmentioning

confidence: 99%

Developments in X-ray tomography characterization for electrochemical devices

et al. 2019

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Over the last century, X-ray imaging instruments and their accompanying tomographic reconstruction algorithms have developed considerably. With improved tomogram quality and resolution, voxel sizes down to tens of nanometres can now be achieved. Moreover, recent advancements in readily accessible lab-based X-ray computed tomography (X-ray CT) instruments have produced spatial resolutions comparable to specialist synchrotron facilities. Electrochemical energy conversion devices, such as fuel cells and batteries, have inherently complex electrode microstructures to achieve competitive power delivery for consideration as replacements for conventional sources. With resolution capabilities spanning tens of microns to tens of nanometres, X-ray CT has become widely employed in the three-dimensional (3D) characterisation of electrochemical materials. The ability to perform multiscale imaging has enabled characterisation from system-down to particle-level, with the ability to resolve critical features within device microstructures. X-ray characterisation presents a favourable alternative to other 3D methods such as focused ion beam scanning electron microscopy, due to its non-destructive nature, which allows four-dimensional (4D) studies, three spatial dimensions plus time, linking structural dynamics to device performance and lifetime. X-ray CT has accelerated research from fundamental understanding of the links between cell structure and performance, to the improvement in manufacturing and scale-up of full electrochemical cells. Furthermore, this has aided in the mitigation of degradation and celllevel failures such as thermal runaway. This review presents recent developments in the use of X-ray CT as a characterisation method and its role in the advancement of electrochemical materials engineering.

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Section: X-ray Characterisation Of Libsmentioning

confidence: 99%

Developments in X-ray tomography characterization for electrochemical devices

et al. 2019

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“…Rahe et al [7] proposed an aging anode defect analysis method for lithium batteries based on submicron CT imaging and image processing. Chen et al [8] proposed a detection scheme based on CT technology to observe and analyze lithium battery failures at low temperatures. Patel et al [9] used CT technology to study lithium batteries' thermal failure characteristics and identify key features.…”

Section: Introductionmentioning

confidence: 99%

Research on Feature Extraction and Classification Methods to Improve the Recognition Rate of Monomers Assembly Defects in Thermal Battery

Zhou

et al. 2022

IEEE Access

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In the assembly process of thermal battery monomers, problems such as inversion, wrong order, and missing collectors often occur. Defect detection is important for the normal use of thermal batteries. In order to improve the defect recognition rate, this paper proposes a feature extraction and classification method based on x-ray images. A new method is formed by combining Gray Level Cooccurrence Matrix and Local Binary Pattern, and improving the traditional Random Forest. Extract the gray texture of the monomer respectively by the Improved Gray Level Co-occurrence Matrix and Local Binary Pattern Equivalent Mode. Analyze the extracted results for serial feature fusion. The classification experiments are performed by Particle Swarm Optimized Random Forest Algorithm. The experimental results show that this method's final defect recognition rate is 98.9%. It provides a new way to identify thermal battery defects accurately and is of great significance in improving the thermal battery defect identification rate.

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“…[7,8] Traditional batteries have provided a feasible means to renewable energy storage, [9] however, they suffer from various hurdles, such as dendrite formation in solid-state metal-based batteries [10,11] or mechanical electrode damage in intercalation battery systems. [12,13] In contrast, redox flow batteries possess valuable capabilities, such as the ability to use redox components with lower cost, easier scale-up, and decoupling of the energy and power sections. The energy capacity of a flow battery will increase by enlarging the size of the storage tanks and the output power can be manipulated via modification of the battery cell.…”

Section: Introductionmentioning

confidence: 99%

Higher Voltage Redox Flow Batteries with Hybrid Acid and Base Electrolytes

Dizaji¹,

Li²

2020

Eng. Sci.

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An organic redox flow battery with hybrid acid and base electrolytes using a single cation exchange membrane has been successfully developed to demonstrate higher operation voltage and higher energy density. This concept of hybrid electrolyte flow battery was able to increase the voltage span of a previously tested quinone flow battery by 300 mV and raise the energy density by four times to reach 27.4 Wh/L. This technique has been successfully implemented in another flow battery system utilizing metal ions, demonstrating the applicability of this technique to other types of redox flow batteries. Furthermore, the suggested flow batteries with hybrid electrolytes have been proposed to be economically advantageous over the systems using a cation-exchange membrane and an anion-exchange membrane simultaneously.

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Investigation of the swelling failure of lithium-ion battery packs at low temperatures using 2D/3D X-ray computed tomography

Cited by 36 publications

References 27 publications

Developments in X-ray tomography characterization for electrochemical devices

Developments in X-ray tomography characterization for electrochemical devices

Research on Feature Extraction and Classification Methods to Improve the Recognition Rate of Monomers Assembly Defects in Thermal Battery

Higher Voltage Redox Flow Batteries with Hybrid Acid and Base Electrolytes

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