Novel Li‐Ion Battery Diagnostics; Detection of Redox Peaks Utilising Plasmonic Fibre Optic Sensors and Evaluation of Interference on Cell Function

Author:

Gardner Christopher1,Langhammer Elin2,Marsic Vlad1,Fleming Joe1,Roberts Alexander J.1,Amietszajew Tazdin1ORCID

Affiliation:

1. Coventry University Coventry CV1 5FB UK

2. Insplorion AB Arvid Wallgrens backe 20 413 46 Göteborg Sweden

Abstract

AbstractIn 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.

Funder

Coventry University

Publisher

Wiley

Reference38 articles.

1. I. Tsiropoulos D. Tarvydas N. Lebedeva Li-ion batteries for mobility and stationary storage applications 2018 https://doi.org/10.2760/87175.

2. The lithium-ion battery: State of the art and future perspectives

3. eVTOL Aircraft Market Size & Trends | Global Analysis (n.d.) https://www.fortunebusinessinsights.com/evtol-aircraft-market-106298(accessed January 28 2023).

4. Critical review of state of health estimation methods of Li-ion batteries for real applications

5. A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

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