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Cycling Rate-Induced Spatially-Resolved Heterogeneities in Commercial Cylindrical Li-Ion Batteries.
Vamvakeros, Antonis; Matras, Dorota; Ashton, Thomas E; Coelho, Alan A; Dong, Hongyang; Bauer, Dustin; Odarchenko, Yaroslav; Price, Stephen W T; Butler, Keith T; Gutowski, Olof; Dippel, Ann-Christin; Zimmerman, Martin von; Darr, Jawwad A; Jacques, Simon D M; Beale, Andrew M.
Affiliation
  • Vamvakeros A; Finden Limited, Merchant House, 5 East St Helens Street, Abingdon, OX14 5EG, UK.
  • Matras D; The Faraday Institution, Quad One, Harwell Science and Innovation Campus, Didcot, OX11 0RA, UK.
  • Ashton TE; Diamond Light Source, Harwell Science and Innovation Campus, Didcot, Oxfordshire, OX11 0DE, UK.
  • Coelho AA; Department of Chemistry, University College London, 20 Gordon Street, London, WC1H 0AJ, UK.
  • Dong H; Coelho Software, 72 Cedar Street, Wynnum, Brisbane, Queensland, 4178, Australia.
  • Bauer D; Department of Chemistry, University College London, 20 Gordon Street, London, WC1H 0AJ, UK.
  • Odarchenko Y; Department of Chemistry, University College London, 20 Gordon Street, London, WC1H 0AJ, UK.
  • Price SWT; Finden Limited, Merchant House, 5 East St Helens Street, Abingdon, OX14 5EG, UK.
  • Butler KT; Finden Limited, Merchant House, 5 East St Helens Street, Abingdon, OX14 5EG, UK.
  • Gutowski O; SciML, Scientific Computer Division, Rutherford Appleton Laboratory, Harwell, OX11 0QX, UK.
  • Dippel AC; Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607, Hamburg, Germany.
  • Zimmerman MV; Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607, Hamburg, Germany.
  • Darr JA; Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607, Hamburg, Germany.
  • Jacques SDM; Department of Chemistry, University College London, 20 Gordon Street, London, WC1H 0AJ, UK.
  • Beale AM; Finden Limited, Merchant House, 5 East St Helens Street, Abingdon, OX14 5EG, UK.
Small Methods ; 5(9): e2100512, 2021 Sep.
Article in En | MEDLINE | ID: mdl-34928070
ABSTRACT
Synchrotron high-energy X-ray diffraction computed tomography has been employed to investigate, for the first time, commercial cylindrical Li-ion batteries electrochemically cycled over the two cycling rates of C/2 and C/20. This technique yields maps of the crystalline components and chemical species as a cross-section of the cell with high spatiotemporal resolution (550 × 550 images with 20 × 20 × 3 µm3 voxel size in ca. 1 h). The recently developed Direct Least-Squares Reconstruction algorithm is used to overcome the well-known parallax problem and led to accurate lattice parameter maps for the device cathode. Chemical heterogeneities are revealed at both electrodes and are attributed to uneven Li and current distributions in the cells. It is shown that this technique has the potential to become an invaluable diagnostic tool for real-world commercial batteries and for their characterization under operating conditions, leading to unique insights into "real" battery degradation mechanisms as they occur.
Key words

Full text: 1 Database: MEDLINE Language: En Year: 2021 Type: Article

Full text: 1 Database: MEDLINE Language: En Year: 2021 Type: Article