The DOI matches its Crossref record; 39 of the 40 references it cites were found in a registry or an index.
In-operando high-speed tomography of lithium-ion batteries during thermal runaway
Open accessAbstract
Prevention and mitigation of thermal runaway presents one of the greatest challenges for the safe operation of lithium-ion batteries. Here, we demonstrate for the first time the application of high-speed synchrotron X-ray computed tomography and radiography, in conjunction with thermal imaging, to track the evolution of internal structural damage and thermal behaviour during initiation and propagation of thermal runaway in lithium-ion batteries. This diagnostic approach is applied to commercial lithium-ion batteries (LG 18650 NMC cells), yielding insights into key degradation modes including gas-induced delamination, electrode layer collapse and propagation of structural degradation. It is envisaged that the use of these techniques will lead to major improvements in the design of Li-ion batteries and their safety features.
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“Extremely high temperatures may trigger”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [31]
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Armand, M., & Tarascon, J.-M. (2008) · Nature · doi:10.1038/451652a · Cited by 19,612
A Review of Image Denoising Algorithms, with a New One
Buades, A., Coll, B., & Morel, J. (2005) · Multiscale Modeling and Simulation · doi:10.1137/040616024 · Cited by 4,120
Lithium-ion batteries. A look into the future
Scrosati, B., Hassoun, J., & Sun, Y. (2011) · Energy & Environmental Science · doi:10.1039/c1ee01388b · Cited by 2,602
Arora, P., & Zhang, Z. (2004) · Chemical Reviews · doi:10.1021/cr020738u · Cited by 2,183
Abuse behavior of high-power, lithium-ion cells
Spotnitz, R. M., & Franklin, J. (2002) · Journal of Power Sources · doi:10.1016/s0378-7753(02)00488-3 · Cited by 1,419
Maire, É., & Withers, P. J. (2013) · International Materials Reviews · doi:10.1179/1743280413y.0000000023 · Cited by 1,391
Safety mechanisms in lithium-ion batteries
Balakrishnan, P., Ramesh, R., & Kumar, T. (2006) · Journal of Power Sources · doi:10.1016/j.jpowsour.2005.12.002 · Cited by 1,084
Thermal-runaway experiments on consumer Li-ion batteries with metal-oxide and olivin-type cathodes
Golubkov, A. W., Fuchs, D., Wagner, J., Wiltsche, H., Stangl, C., Fauler, G., Voitic, G., Thaler, A., & Hacker, V. (2013) · RSC Advances · doi:10.1039/c3ra45748f · Cited by 910
A three-dimensional thermal abuse model for lithium-ion cells
Kim, G., Pesaran, A., & Spotnitz, R. M. (2007) · Journal of Power Sources · doi:10.1016/j.jpowsour.2007.04.018 · Cited by 889
Visualization and Quantification of Electrochemical and Mechanical Degradation in Li Ion Batteries
Ebner, M., Marone, F., Stampanoni, M., & Wood, V. C. (2013) · Science · doi:10.1126/science.1241882 · Cited by 699
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1 of the 40 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Jacoby, M. Assessing the safety of lithium-ion batteries. Chem. Eng. News 91, 33–37 (2013).
- Slaney, M. & Kak, A. C. Principles of Computerized Tomographic Imaging IEEE, New York (1988).
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A review of lithium-ion battery safety concerns: The issues, strategies, and testing standards
Chen, Y., Kang, Y., Zhao, Y., Wang, L., Liu, J., Li, Y., Liang, Z., He, X., Li, X., Tavajohi, N., et al. (2021) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2020.10.017 · Cited by 2,178
Temperature effect and thermal impact in lithium-ion batteries: A review
Ma, S., Jiang, M., Tao, P., Song, C., Wu, J., Wang, J., Deng, T., & Shang, W. (2018) · Progress in Natural Science: Materials International · doi:10.1016/j.pnsc.2018.11.002 · Cited by 1,674
Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
Li, Y., Liu, K., Foley, A. M., Zülke, A., Berecibar, M., Nanini-Maury, E., Van Mierlo, J., & Hoster, H. E. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109254 · Cited by 1,193
“Extremely high temperatures may trigger “thermal runaway”, the ultimate threat [31].”
BackgroundWithers, P. J., Bouman, C. A., Carmignato, S., Cnudde, V., Grimaldi, D. A., Hagen, C. K., Maire, É., Manley, M., du Plessis, A., & Stock, S. R. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00015-4 · Cited by 1,149
Gel Polymer Electrolytes for Electrochemical Energy Storage
Cheng, X., Pan, J., Zhao, Y., Liao, M., & Peng, H. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201702184 · Cited by 1,022
Metadata
- Authors
- Finegan, D. P., Scheel, M., Robinson, J. B., Tjaden, B., Hunt, I., Mason, T. J., Millichamp, J., Di Michiel, M., Offer, G. J., Hinds, G., Brett, D. J. L., & Shearing, P. R.
- Affiliations
- University College London (GB)
- Synchrotron SOLEIL (FR)
- Imperial College London (GB)
- National Physical Laboratory (GB)
- Corresponding author
- Shearing, Paul R.
- ORCID
- Venue
- Nature Communications
- Published
- 2015-04-28
- Volume
- 6
- Issue
- 1
- Pages
- 6924-6924
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC4423228
- OpenAlex
- W2066988889
- Cited by
- 844
- References
- 40
- Citations by year
- 2026: 130 · 2025: 108 · 2024: 109 · 2023: 87 · 2022: 77 · 2021: 69 · 2020: 69 · 2019: 53 · 2018: 54 · 2017: 42 · 2016: 34 · 2015: 12
- FWCI
- 48.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Royal Academy of Engineering
- European Synchrotron Radiation Facility (ID15A)
- Engineering and Physical Sciences Research Council (EP/I00422X/1, 1528603)
- Science and Technology Facilities Council (ST/K00171X/1)
- National Physical Laboratory
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Battery Materials and Technologies
- Keywords
- lithium-ion batteries, thermal runaway, synchrotron X-ray tomography, high-speed radiography, infrared thermography, battery safety, NMC cells, 18650 cells, structural deterioration, degradation modes
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