Dataset Information

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/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.

SUBMITTER: Ziesche RF

PROVIDER: S-EPMC7005889 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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

Ziesche Ralf F RF Arlt Tobias T Finegan Donal P DP Heenan Thomas M M TMM Tengattini Alessandro A Baum Daniel D Kardjilov Nikolay N Markötter Henning H Manke Ingo I Kockelmann Winfried W Brett Dan J L DJL Shearing Paul R PR

Nature communications 20200207 1

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<sub>2</sub> primary battery and the indirect tracking of lithium diffusion; furthermore, complementary neutron computed tomography has identified th ...[more]

PMID: 32034126

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Dataset Information

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

Publications

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

Similar Datasets

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