Evidence map›Paper›PMID 35161487›Full record

ArticleSensors (Basel, Switzerland)2022

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

Christopher Gardner, Elin Langhammer, Wenjia Du, Dan J L Brett, Paul R Shearing, Alexander J Roberts, Tazdin Amietszajew

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Christopher GardnerCentre for Advanced Low Carbon Propulsion Systems, Institute for Clean Growth and Future Mobility, Coventry University, Coventry CV1 5FB, UK.ORCID 0000-0002-2388-6583
Elin LanghammerInsplorion AB, Arvid Wallgrens Backe 20, 413 46 Goteborg, Sweden.
Wenjia DuElectrochemical Innovation Lab, Department of Chemical Engineering, University College London, London WC1E 6BT, UK.ORCID 0000-0001-8434-4764
Dan J L BrettElectrochemical Innovation Lab, Department of Chemical Engineering, University College London, London WC1E 6BT, UK.ORCID 0000-0002-8545-3126
Paul R ShearingElectrochemical Innovation Lab, Department of Chemical Engineering, University College London, London WC1E 6BT, UK.ORCID 0000-0002-1387-9531
Alexander J RobertsCentre for Advanced Low Carbon Propulsion Systems, Institute for Clean Growth and Future Mobility, Coventry University, Coventry CV1 5FB, UK.
Tazdin AmietszajewCentre for Advanced Low Carbon Propulsion Systems, Institute for Clean Growth and Future Mobility, Coventry University, Coventry CV1 5FB, UK.ORCID 0000-0001-7452-1034
Coventry University · GBThe Faraday Institution · GBInsplorion (Sweden) · SE

Funding

Engineering and Physical Sciences Research Council EP/R023581/1
6 · The paper itself

Abstract

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.

Indexed as

LithiumOptical FibersElectric Power SuppliesElectrodesIonsIonsLithiumbatterydiagnosticsLi-Ion batteryoptical fibresplasmonic sensingpouch cells

Identifiers

PMID35161487
PMCPMC8838023
OpenAlexW4205853691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.