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Published April 17, 2015 | Published
Journal Article Open

X-Ray Diffraction Computed Tomography for Structural Analysis of Electrode Materials in Batteries

Abstract

We report the use of X-ray diffraction in combination with computed tomography to provide quantitative information of a coin cell Li-ion battery and a commercial Ni/MH AAA battery for the first time. This technique allows for structural information to be garnered and opens up the possibility of tracking nanostructural changes in operandi. In the case of the cylindrically wound, standard AAA Ni/MH cell, we were able to map all the different phases in the complex geometry, including anode, cathode, current collector and casing, as well as amorphous phases such as the binder and separator. In the case of a Li-ion coin cell battery, we show how the X-ray diffraction tomography data can be used to map crystal texture of the LiCoO_2 particles over the cathode film. Our results reveal that the LiCoO_2 microparticles show a high degree of preferred orientation, but that this effect is not homogenous over the film, which may affect the electrochemical properties.

Additional Information

© The Author(s) 2015. Published by ECS. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY, http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse of the work in any medium, provided the original work is properly cited. Manuscript submitted February 20, 2015; revised manuscript received April 7, 2015. Published April 17, 2015. All authors thank the ESRF for beamtime allocation. S. A. C. and J. V. L. gratefully acknowledge funding support from the EPSRC (EP/K029290/1) and the allocation of a PhD scholarship from the University of Glasgow. B.C.M. and W.G.Z. gratefully acknowledge financial support through start-up funding provided by the Dana and David Dornsife College of Letters and Sciences at the University of Southern California. W.G.Z. also acknowledges the support by a fellowship within the Postdoc-Program of the German Academic Exchange Service (DAAD). K. M. Ø. J. acknowledges funding from the Villum Foundation Postdoc Program. S.J.L.B and X.Y acknowledge funding from Laboratory Directed Research and Development (LDRD) Program 12-007 (Complex Modeling) at Brookhaven National Laboratory, which is funded by the US Department of Energy Office of Basic Energy Sciences grant DE-AC02-98CH10886. Authors Kirsten M. Ø. Jensen and Xiaohao Yang contributed equally to this work.

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August 22, 2023
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October 18, 2023