TY - JOUR
T1 - Novel Li-Ion Battery Diagnostics
T2 - Detection of Redox Peaks Utilising Plasmonic Fibre Optic Sensors and Evaluation of Interference on Cell Function
AU - Gardner, Christopher
AU - Langhammer, Elin
AU - Marsic, Vlad
AU - Fleming, Joe
AU - Roberts, Alexander J.
AU - Amietszajew, Tazdin
N1 - This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
PY - 2024/7/8
Y1 - 2024/7/8
N2 - In this study we demonstrate detection of redox peaks in Li-ion pouch cells during cyclic voltammetry (CV), via the optical signal of plasmonic based fibre optic sensors placed inside Li-ion pouch cells. The sensors are placed inside the pouch cells during manufacture, allowing diagnostic data to be obtained from directly inside the cells in real time. We further present data showing the battery cell remains agnostic to the presence of fibre optic sensors over repeated cycling through analysis of the formation cycles, electrochemical impedance spectroscopy (EIS) analysis, coulombic efficiency data, capacity data and post-mortem materials analysis. This study provides evidence of the utility of fibre optic based diagnostic sensors, and in particular the novel use of plasmonic based fibre optic sensors, as an in situ battery diagnostic technique and potential research tool to investigate battery cell phenomena.
AB - In this study we demonstrate detection of redox peaks in Li-ion pouch cells during cyclic voltammetry (CV), via the optical signal of plasmonic based fibre optic sensors placed inside Li-ion pouch cells. The sensors are placed inside the pouch cells during manufacture, allowing diagnostic data to be obtained from directly inside the cells in real time. We further present data showing the battery cell remains agnostic to the presence of fibre optic sensors over repeated cycling through analysis of the formation cycles, electrochemical impedance spectroscopy (EIS) analysis, coulombic efficiency data, capacity data and post-mortem materials analysis. This study provides evidence of the utility of fibre optic based diagnostic sensors, and in particular the novel use of plasmonic based fibre optic sensors, as an in situ battery diagnostic technique and potential research tool to investigate battery cell phenomena.
UR - http://www.scopus.com/inward/record.url?scp=85193699193&partnerID=8YFLogxK
U2 - 10.1002/batt.202400079
DO - 10.1002/batt.202400079
M3 - Article
SN - 2566-6223
VL - 7
JO - Batteries & Supercaps
JF - Batteries & Supercaps
IS - 7
M1 - e202400079
ER -