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

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/MnO 2 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.

Authors:
ORCiD logo [1];  [2]; ORCiD logo [3]; ORCiD logo [4];  [5]; ORCiD logo [6]; ORCiD logo [7];  [2]; ORCiD logo [7];  [8];  [4];  [4]
+ Show Author Affiliations
  1. Univ. College London (United Kingdom); Science and Technology Facilities Council (STFC), Oxford (United Kingdom). Rutherford Appleton Lab. (RAL)
  2. Technische Univ. Berlin (Germany)
  3. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  4. Univ. College London (United Kingdom); The Faraday Inst. (United Kingdom)
  5. University Grenoble Aples, Institut Laue-Langevin
  6. Zuse Inst. Berlin (Germany)
  7. Helmholtz-Zentrum Berlin (HZB), (Germany). German Research Centre for Materials and Energy
  8. Science and Technology Facilities Council (STFC), Oxford (United Kingdom). Rutherford Appleton Lab. (RAL)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1602175
Report Number(s):
[NREL-JA-5400-75811]
[Journal ID: ISSN 2041-1723]
Grant/Contract Number:  
[AC36-08GO28308]
Resource Type:
Accepted Manuscript
Journal Name:
Nature Communications
Additional Journal Information:
[ Journal Volume: 11; Journal Issue: 1]; Journal ID: ISSN 2041-1723
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; 30 DIRECT ENERGY CONVERSION; lithium ion batteries; neuron imaging; x-ray computed tomography; image processing

Citation Formats

Ziesche, Ralf F., Arlt, Tobias, Finegan, Donal, Heenan, Thomas M. M., Tengattini, Alessandro, Baum, Daniel, Kardjilov, Nikolay, Markotter, Henning, Manke, Ingo, Kockelmann, Winfried, Brett, Dan J. L., and Shearing, Paul R. 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique. United States: N. p., 2020. Web. doi:10.1038/s41467-019-13943-3.
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Ziesche, Ralf F., Arlt, Tobias, Finegan, Donal, Heenan, Thomas M. M., Tengattini, Alessandro, Baum, Daniel, Kardjilov, Nikolay, Markotter, Henning, Manke, Ingo, Kockelmann, Winfried, Brett, Dan J. L., & Shearing, Paul R. 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique. United States. doi:10.1038/s41467-019-13943-3.
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Ziesche, Ralf F., Arlt, Tobias, Finegan, Donal, Heenan, Thomas M. M., Tengattini, Alessandro, Baum, Daniel, Kardjilov, Nikolay, Markotter, Henning, Manke, Ingo, Kockelmann, Winfried, Brett, Dan J. L., and Shearing, Paul R. Fri . "4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique". United States. doi:10.1038/s41467-019-13943-3. https://www.osti.gov/servlets/purl/1602175.
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@article{osti_1602175,
title = {4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique},
author = {Ziesche, Ralf F. and Arlt, Tobias and Finegan, Donal and Heenan, Thomas M. M. and Tengattini, Alessandro and Baum, Daniel and Kardjilov, Nikolay and Markotter, Henning and Manke, Ingo and Kockelmann, Winfried and Brett, Dan J. L. and Shearing, Paul R.},
abstractNote = {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.},
doi = {10.1038/s41467-019-13943-3},
journal = {Nature Communications},
number = [1],
volume = [11],
place = {United States},
year = {2020},
month = {2}
}
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DOI:  10.1038/s41467-019-13943-3
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