Issue 11, 2019

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

Abstract

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.

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

Supplementary files

Article information

Article type
Communication
Submitted
12 Jul 2019
Accepted
15 Aug 2019
First published
19 Aug 2019
This article is Open Access
Creative Commons BY license

Sustainable Energy Fuels, 2019,3, 2972-2976

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

M. D. R. Kok, J. B. Robinson, J. S. Weaving, A. Jnawali, M. Pham, F. Iacoviello, D. J. L. Brett and P. R. Shearing, Sustainable Energy Fuels, 2019, 3, 2972 DOI: 10.1039/C9SE00500E

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements