Correlative non-destructive techniques to investigate aging and orientation effects in automotive Li-ion pouch cells

Arthur Fordham, Zoran Milojevic, Emily Giles, Wenjia Du, Rhodri Owen, Stefan Michalik, Phil Chater, Prodip Das, Pierrot Attidekou, Simon Lambert, Phoebe Allan, Peter Slater, Paul Anderson, Rhodri Jervis, Paul Shearing*, Dan Brett*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

The growing demand for electric vehicles (EVs) continues to raise concern for the disposal of lithium-ion batteries reaching their end of life (EoL). The cells inside EVs age differently depending on multiple factors. Yet, following extraction, there are significant challenges with characterizing degradation in cells that have been aged from real-world EV usage. We employed four non-destructive techniques—infrared thermography, ultrasonic mapping, X-ray tomography, and synchrotron X-ray diffraction—to analyze the aging 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 aging patterns compared with 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 minimizing material waste.
Original languageEnglish
Pages (from-to)2622-2652
Number of pages31
JournalJoule
Volume7
Issue number11
DOIs
Publication statusPublished - 15 Nov 2023

Bibliographical note

Acknowledgments:
This work was part of ReLiB (https://relib.org.uk/), LiStar (https://www.listar.ac.uk/), SafeBatt (https://www.safebatt.ac.uk/), and CatMat (https://catmatproject.com/) Faraday Institution projects (grant numbers EP/S003053/1, FIRG027, FIRG014, FIRG028, and FIRG026). Diamond Light Source is acknowledged for time on Beamline I12-JEEP under proposal MG27719.

The Royal Academy of Engineering is acknowledged for the financial support of P.R. Shearing (CiET1718∖59) and D.J.L.B. (RCSRF2021/13/53) under the Chair in Emerging Technologies and Research Chairs scheme. D.J.L.B. acknowledges the National Physical Laboratory (NPL) and HORIBA MIRA for the support of his RAEng Research Chair.

Keywords

  • automotive Li-ion pouch cell
  • electric vehicle
  • aging
  • infrared thermal imaging
  • ultrasound acoustic measurement
  • X-ray tomography
  • deep learning
  • synchrotron X-ray diffraction

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