4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique

Ralf F. Ziesche, Tobias Arlt, Donal P. Finegan, Thomas M. M. Heenan, Alessandro Tengattini, Daniel Baum, Nikolay Kardjilov, Henning Markötter, Ingo Manke, Winfried Kockelmann, Dan J. L. Brett and Paul R. Shearing ()
Additional contact information
Ralf F. Ziesche: University College London
Tobias Arlt: Technische Universität Berlin
Donal P. Finegan: National Renewable Energy Laboratory
Thomas M. M. Heenan: University College London
Alessandro Tengattini: Univ. Grenoble Alpes
Daniel Baum: Zuse Institute Berlin
Nikolay Kardjilov: Helmholtz-Zentrum Berlin für Materialien und Energie (HZB)
Henning Markötter: Technische Universität Berlin
Ingo Manke: Helmholtz-Zentrum Berlin für Materialien und Energie (HZB)
Winfried Kockelmann: ISIS Facility
Dan J. L. Brett: University College London
Paul R. Shearing: University College London

Nature Communications, 2020, vol. 11, issue 1, 1-11

Abstract: Abstract The temporally and spatially resolved tracking of lithium intercalation and electrode degradation processes are crucial for detecting and understanding performance losses during the operation of lithium-batteries. Here, high-throughput X-ray computed tomography has enabled the identification of mechanical degradation processes in a commercial Li/MnO2 primary battery and the indirect tracking of lithium diffusion; furthermore, complementary neutron computed tomography has identified the direct lithium diffusion process and the electrode wetting by the electrolyte. Virtual electrode unrolling techniques provide a deeper view inside the electrode layers and are used to detect minor fluctuations which are difficult to observe using conventional three dimensional rendering tools. Moreover, the ‘unrolling’ provides a platform for correlating multi-modal image data which is expected to find wider application in battery science and engineering to study diverse effects e.g. electrode degradation or lithium diffusion blocking during battery cycling.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.nature.com/articles/s41467-019-13943-3 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-13943-3

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-019-13943-3

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().