Virtual unrolling of spirally-wound lithium-ion cells for correlative degradation studies and predictive fault detection

A spirally-wound LG 18650 MJ1 lithium-ion battery was imaged in 3D before and after 1061 cycles using X-ray computed tomography. The battery's capacity had faded to 79% of its initial value and some of that fade was attributed to delamination in the innermost region of the jelly-roll structure....

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Bibliographic Details
Published in:Sustainable energy & fuels 2019-10, Vol.3 (11), p.2972-2976
Main Authors: Kok, Matt D. R, Robinson, James B, Weaving, Julia S, Jnawali, Anmol, Pham, Martin, Iacoviello, Francesco, Brett, Daniel J. L, Shearing, Paul R
Format: Article
Language:English
Subjects:
Computed tomography
Correlation analysis
Cycles
Delamination
Electric cells
Electrodes
Fault detection
Lithium
Lithium-ion batteries
Rechargeable batteries
Wounds
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Summary:A spirally-wound LG 18650 MJ1 lithium-ion battery was imaged in 3D before and after 1061 cycles using X-ray computed tomography. The battery's capacity had faded to 79% of its initial value and some of that fade was attributed to delamination in the innermost region of the jelly-roll structure. A method for virtually unrolling the jelly-roll and analysing it in different coordinates is presented. The method allows efficient comparison of the position and shape of the electrodes at different times and highlights imperfections present in the jelly-roll before cycling which were shown to nucleate the delamination of the electrode. This method for virtually unrolling the jelly roll of a lithium ion cell using X-ray CT highlights the predictability of macro deformations formed while cycling. The failure is shown to propagate from nucleation points present since production.
ISSN:2398-4902
2398-4902
DOI:10.1039/c9se00500e