@techreport{ab143ec58816456eb173160818700614,
title = "Correlative Non-Destructive Techniques to Investigate Ageing and Orientation Effects in Automotive Li-Ion Pouch Cells",
abstract = "The growing demand for electric vehicles (EVs) continues to raise concern for the disposal of lithium-ion batteries reaching end-of-life (EOL). The cells inside EVs will age differently depending on multiple factors. Yet, following extraction there are significant challenges with characterising degradation in cells that have been aged from real-world EV usage. We employed four non-destructive techniques - infrared thermography, ultrasonic mapping, X-ray computed tomography, and synchrotron X-ray diffraction - to analyse the ageing of Nissan Leaf large-format pouch cells that were arranged in different orientations and locations within the pack. The combination of these methods provided complementary insights into cell degradation, with rotated/vertically aligned cells exhibiting distinct ageing patterns compared to flat/horizontally aligned cells. These findings offer valuable information for pack design and demonstrate how cost-effective non-destructive techniques can provide practical assessment capabilities comparable to synchrotron studies. This approach enables decision support during EoL, enhancing battery production efficiency and minimising material waste.",
keywords = "Automotive Li-ion pouch cell, electric vehicle, ageing, infrared thermal imaging, ultrasound acoustic measurement, X-ray tomography, deep learning, synchrotron X-ray diffraction.",
author = "Arthur Fordham and Lambert, {Simon M.} and Phoebe Allan and Slater, {Peter Raymond} and Anderson, {Paul A.} and Rhodri Jervis and Shearing, {Paul R.} and Brett, {Dan J.L.} and Zoran Milojevic and Emily Giles and Wenjia Du and Owen, {Rhodri E.} and Stefan Michalik and Chater, {Philip A.} and Das, {Prodip K.} and Attidekou, {Pierrot S.}",
year = "2023",
month = may,
day = "31",
doi = "10.2139/ssrn.4464165",
language = "English",
publisher = "Cell Press",
address = "United States",
type = "WorkingPaper",
institution = "Cell Press",
}