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X-ray tomography for battery research and development

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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Fig. 1: X-ray tomography of lithium-ion batteries.

References

  1. Pietsch, P. & Wood, V. X-ray tomography for lithium ion battery research: a practical guide. Annu. Rev. Mater. Res. 47, 451–479 (2017).

    Article  Google Scholar 

  2. Müller, S. et al. Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging. Nat. Commun. 9, 2340 (2018).

    Article  Google Scholar 

  3. Ebner, M. et al. Visualization and quantification of electrochemical and mechanical degradation in Li ion batteries. Science 342, 716–720 (2013).

    Article  Google Scholar 

  4. Pietsch, P. et al. Quantifying microstructural dynamics and electrochemical activity of graphite and silicon–graphite lithium ion battery anodes. Nat. Commun. 7, 12909 (2016).

    Article  Google Scholar 

  5. Finegan, D. P. et al. In-operando high-speed tomography of lithium-ion batteries during thermal runaway. Nat. Commun. 6, 6924 (2015).

    Article  Google Scholar 

  6. Pietsch, P. et al. Determining the uncertainty in microstructural parameters extracted from tomographic data. Sustain. Energy Fuels 2, 598–605 (2018).

    Article  Google Scholar 

  7. 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).

    Article  Google Scholar 

  8. Müller, S. et al. Quantifying inhomogeneity of lithium ion battery electrodes and its influence on electrochemical performance. J. Electrochem. Soc. 165, A339–A344 (2018).

    Article  Google Scholar 

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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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Correspondence to Vanessa Wood.

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Digital Volume Correlation: https://www.smart-piv.com/en/applications/materials-testing/digital-volume-correlation-dvc/

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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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