In-Situ Li-Ion Pouch Cell Diagnostics Utilising Plasmonic Based Optical Fibre Sensors

As the drive to improve the cost, performance characteristics and safety of lithium-ion batteries increases with adoption, one area where significant value could be added is that of battery diagnostics. This paper documents an investigation into the use of plasmonic-based optical fibre sensors, inse...

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Main Authors: Christopher Gardner, Elin Langhammer, Wenjia Du, Dan J. L. Brett, Paul R. Shearing, Alexander J. Roberts, Tazdin Amietszajew
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/3/738
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author Christopher Gardner
Elin Langhammer
Wenjia Du
Dan J. L. Brett
Paul R. Shearing
Alexander J. Roberts
Tazdin Amietszajew
author_facet Christopher Gardner
Elin Langhammer
Wenjia Du
Dan J. L. Brett
Paul R. Shearing
Alexander J. Roberts
Tazdin Amietszajew
author_sort Christopher Gardner
collection DOAJ
description As the drive to improve the cost, performance characteristics and safety of lithium-ion batteries increases with adoption, one area where significant value could be added is that of battery diagnostics. This paper documents an investigation into the use of plasmonic-based optical fibre sensors, inserted internally into 1.4 Ah lithium-ion pouch cells, as a real time and in-situ diagnostic technique. The successful implementation of the fibres inside pouch cells is detailed and promising correlation with battery state is reported, while having negligible impact on cell performance in terms of capacity and columbic efficiency. The testing carried out includes standard cycling and galvanostatic intermittent titration technique (GITT) tests, and the use of a reference electrode to correlate with the anode and cathode readings separately. Further observations are made around the sensor and analyte interaction mechanisms, robustness of sensors and suggested further developments. These finding show that a plasmonic-based optical fibre sensor may have potential as an opto-electrochemical diagnostic technique for lithium-ion batteries, offering an unprecedented view into internal cell phenomena.
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spelling doaj.art-6fcc06bc49aa4a40ad19dac9ea3d88fb2023-11-23T17:44:33ZengMDPI AGSensors1424-82202022-01-0122373810.3390/s22030738In-Situ Li-Ion Pouch Cell Diagnostics Utilising Plasmonic Based Optical Fibre SensorsChristopher Gardner0Elin Langhammer1Wenjia Du2Dan J. L. Brett3Paul R. Shearing4Alexander J. Roberts5Tazdin Amietszajew6Centre for Advanced Low Carbon Propulsion Systems, Institute for Clean Growth and Future Mobility, Coventry University, Coventry CV1 5FB, UKInsplorion AB, Arvid Wallgrens Backe 20, 413 46 Goteborg, SwedenElectrochemical Innovation Lab, Department of Chemical Engineering, University College London, London WC1E 6BT, UKElectrochemical Innovation Lab, Department of Chemical Engineering, University College London, London WC1E 6BT, UKElectrochemical Innovation Lab, Department of Chemical Engineering, University College London, London WC1E 6BT, UKCentre for Advanced Low Carbon Propulsion Systems, Institute for Clean Growth and Future Mobility, Coventry University, Coventry CV1 5FB, UKCentre for Advanced Low Carbon Propulsion Systems, Institute for Clean Growth and Future Mobility, Coventry University, Coventry CV1 5FB, UKAs the drive to improve the cost, performance characteristics and safety of lithium-ion batteries increases with adoption, one area where significant value could be added is that of battery diagnostics. This paper documents an investigation into the use of plasmonic-based optical fibre sensors, inserted internally into 1.4 Ah lithium-ion pouch cells, as a real time and in-situ diagnostic technique. The successful implementation of the fibres inside pouch cells is detailed and promising correlation with battery state is reported, while having negligible impact on cell performance in terms of capacity and columbic efficiency. The testing carried out includes standard cycling and galvanostatic intermittent titration technique (GITT) tests, and the use of a reference electrode to correlate with the anode and cathode readings separately. Further observations are made around the sensor and analyte interaction mechanisms, robustness of sensors and suggested further developments. These finding show that a plasmonic-based optical fibre sensor may have potential as an opto-electrochemical diagnostic technique for lithium-ion batteries, offering an unprecedented view into internal cell phenomena.https://www.mdpi.com/1424-8220/22/3/738Li-Ion batterypouch cellsbatterydiagnosticsplasmonic sensingoptical fibres
spellingShingle Christopher Gardner
Elin Langhammer
Wenjia Du
Dan J. L. Brett
Paul R. Shearing
Alexander J. Roberts
Tazdin Amietszajew
In-Situ Li-Ion Pouch Cell Diagnostics Utilising Plasmonic Based Optical Fibre Sensors
Sensors
Li-Ion battery
pouch cells
battery
diagnostics
plasmonic sensing
optical fibres
title In-Situ Li-Ion Pouch Cell Diagnostics Utilising Plasmonic Based Optical Fibre Sensors
title_full In-Situ Li-Ion Pouch Cell Diagnostics Utilising Plasmonic Based Optical Fibre Sensors
title_fullStr In-Situ Li-Ion Pouch Cell Diagnostics Utilising Plasmonic Based Optical Fibre Sensors
title_full_unstemmed In-Situ Li-Ion Pouch Cell Diagnostics Utilising Plasmonic Based Optical Fibre Sensors
title_short In-Situ Li-Ion Pouch Cell Diagnostics Utilising Plasmonic Based Optical Fibre Sensors
title_sort in situ li ion pouch cell diagnostics utilising plasmonic based optical fibre sensors
topic Li-Ion battery
pouch cells
battery
diagnostics
plasmonic sensing
optical fibres
url https://www.mdpi.com/1424-8220/22/3/738
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