Research data supporting: Hollow-core optical fibre sensors for operando Raman spectroscopy investigation of Li-ion battery liquid electrolytes
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Authors
Miele, Ermanno
Dose, Wesley
Manyakin, Ilya
Frosz, Michael
Ruff, Zachary
Grey, Clare
Publication Date
2022-03-21Type
Dataset
Metadata
Show full item recordCitation
Miele, E., Dose, W., Manyakin, I., Frosz, M., Ruff, Z., De Volder, M., Grey, C., et al. (2022). Research data supporting: Hollow-core optical fibre sensors for operando Raman spectroscopy investigation of Li-ion battery liquid electrolytes [Dataset]. https://doi.org/10.17863/CAM.81189
Description
In this repository are stored the Datasets for the figures displayed in:
"Hollow-core optical fibre sensors for operando Raman spectroscopy investigation of
Li-ion battery liquid electrolytes"
Briefly, the CSV files contain the datasets used to create the following figures in the related manuscript:
Figure2b - Continuous acquisition of Raman scattering from hollow-core fibre during liquid exchange in the hollow-core fibre.
Figure2c - Tracked intensity Vs. Time of Ethylene Carbonate (EC) breathing mode and PF6 anion symmetric stretch mode.
Figure3a - Continuous monitoring of Raman during battery charging and discharging
Figure3_voltageprofile - Full cell Voltage Vs. Time during Raman acquisition and electrolyte sampling.
Figure4c - Intensity ratio of the EC and EMC C=O bands Vs. Time, extrapolated from Figure 3a.
Figure5c - Intensity Vs. Time of EC Breathing mode and VC C=C, extrapolated from Figure 3a.
Figure6_a.zip - Compressed folder containing charge/discharge profile dataset for cycles, displayed in Figure 6a.
Figure6_b - Cell Charge/Discharge voltage profile of the cell during Operando Raman and Ethylene Carbonate (EC) and Vinylene Carbonate (VC) C=C intensity plots.
Figure6_c - Raman spectrum of pristine LP57 ELectrolyte and Cycled electrolyte (Cycle7).
Format
Microsoft Excel
Keywords
Raman spectroscopy, Li-ion batteries, operando measurements, hollow-core fibres, optical sensing
Relationships
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.81189
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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