Combining multi-modal non-destructive techniques to investigate ageing and orientation effects in automotive Li-ion pouch cells

10 May 2023, Version 1

Abstract

As the electrification of the transport sector progresses, an abundance of lithium-ion batteries inside electric vehicles (EVs) will reach their end-of-life (EoL). The cells inside battery packs will age differently depending on multiple factors during their use. Currently, there is limited publicly available research on the degradation of the individual cells recovered from real-world EV usage. Once they have been recovered from the vehicle, large-format pouch cells are challenging to characterise, measure their internal structure and determine state-of-health (SoH). Here, large-format (261 x 216 x 7.91 mm) Nissan Leaf cells are harvested from an EV and four complementary non-destructive techniques are used to distinguish the ageing of cells arranged in varying orientations and locations within the pack. The measurement suite includes infrared thermography, ultrasonic mapping, X-ray computed tomography, and synchrotron X-ray diffraction, and represents a unique combination of characterisation techniques. We found that each of the non-destructive diagnostic techniques corroborated each other yet provide different complementary insights. The influence of orientation and location of the cells is significant, with the rotated/vertically aligned cells differing significantly from the flat/horizontally aligned cells in mode and degree of ageing. These insights provide new information on cell degradation that can help to influence pack design and illustrates how rapid and relatively inexpensive technology can provide sufficient information for practical assessment compared to costly synchrotron studies. Such an approach can inform decision support at EoL and more efficient battery production reducing the wastage of raw materials.

Keywords

Automotive Li-ion pouch cell
electric vehicle
ageing
infrared thermal imaging
ultrasound acoustic measurement
X-ray tomography
deep learning
synchrotron X-ray diffraction.

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Supplemental Materials: Combining multi-modal non-destructive techniques to investigate ageing and orientation effects in automotive Li-ion pouch cells
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This document contains the Supplemental Material for the research paper titled, 'Combining multi-modal non-destructive techniques to investigate ageing and orientation effects in automotive Li-ion pouch cells'. The file includes scientific figures containing, experiemental setups and additional results.
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