X-ray tomography is revolutionizing battery research and development by enabling non-destructive, 3D imaging of the inside of battery cells before, during and after operation.
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References
Pietsch, P. & Wood, V. X-ray tomography for lithium ion battery research: a practical guide. Annu. Rev. Mater. Res. 47, 451–479 (2017).
Müller, S. et al. Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging. Nat. Commun. 9, 2340 (2018).
Ebner, M. et al. Visualization and quantification of electrochemical and mechanical degradation in Li ion batteries. Science 342, 716–720 (2013).
Pietsch, P. et al. Quantifying microstructural dynamics and electrochemical activity of graphite and silicon–graphite lithium ion battery anodes. Nat. Commun. 7, 12909 (2016).
Finegan, D. P. et al. In-operando high-speed tomography of lithium-ion batteries during thermal runaway. Nat. Commun. 6, 6924 (2015).
Pietsch, P. et al. Determining the uncertainty in microstructural parameters extracted from tomographic data. Sustain. Energy Fuels 2, 598–605 (2018).
Eastwood, D. S. et al. Three-dimensional characterization of electrodeposited lithium microstructures using synchrotron X-ray phase contrast imaging. Chem. Commun. 51, 266–268 (2015).
Müller, S. et al. Quantifying inhomogeneity of lithium ion battery electrodes and its influence on electrochemical performance. J. Electrochem. Soc. 165, A339–A344 (2018).
Acknowledgements
This comment is based on knowledge gained from working with many collaborators and a terrific team. In particular, the author thanks her current and former PhD students M. Ebner, P. Pietsch, M. F. Lagadec and S. Müller. The author gratefully acknowledges funding through a European Research Council Starting Grant (Project 680070).
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Wood, V. X-ray tomography for battery research and development. Nat Rev Mater 3, 293–295 (2018). https://doi.org/10.1038/s41578-018-0053-4
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DOI: https://doi.org/10.1038/s41578-018-0053-4
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