Skip to main content
SpringerLink
Log in

X-ray tomography for battery research and development

  • Comment
  • Published:

From Nature Reviews Materials

View current issue Sign up to alerts

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

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 

Download references

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).

Author information

Authors and Affiliations

  1. Department of Information Technology and Electrical Engineering, ETH Zürich, Gloriastrasse 35, Zürich, Switzerland

    Vanessa Wood

Authors
  1. Vanessa Wood
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vanessa Wood.

Ethics declarations

Competing interests

The author declares no competing interests.

Additional information

Related links

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41578-018-0053-4

  • Springer Nature Limited

This article is cited by

Search

Navigation