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Data of physical and electrochemical characteristics of calendered NMC622 electrodes and lithium-ion cells at pilot-plant battery manufacturing
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Faraji Niri, Mona, Hidalgo, Marc, Apachitei, Geanina, Dogaru, Daniela, Lain, Michael J., Copley, Jack and Marco, James (2024) Data of physical and electrochemical characteristics of calendered NMC622 electrodes and lithium-ion cells at pilot-plant battery manufacturing. Data in Brief, 52 . 109798. doi:10.1016/j.dib.2023.109798 ISSN 2352-3409.
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WRAP-data-physical-electrochemical-characteristics-calendered-NMC622-electrodes-lithium-ion-cells-pilot-plant-battery-manufacturing-2023.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (308Kb) | Preview |
Official URL: https://doi.org/10.1016/j.dib.2023.109798
Abstract
The data reported here was prepared to study the effects of calendering process on NMC622 cathodes using a 3-3-2 full factorial design of experiments. The data set consists of 18 unique combinations of calender roll temperature (85 °C, 120 °C, or 145 °C), electrode porosity (30%, 35%, or 40%), and electrode mass loading (120 g/m² or 180 g/m²). The reported physical characteristics of the electrodes include thickness, coating weight, maximum tensile strength, and density. The electrochemical performances of the electrodes were obtained by testing coin cells. In this context, 54 half-cells were produced, 3 per each calendering experiment to ensure repeatability and reliability of the results. The responses of interest included, charge energy capacity at C/2, C/5, discharge energy capacity at C/20, C/5, C/2, C, 2C, 5C, 10C, gravimetric capacity (charge at C/2, C/5, discharge at C/20, C/5, C/2, C, 2C, 5C, 10C), volumetric capacity (charge at C/2, C/5, discharge at C/20, C/5, C/2, C, 2C, 5C, 10C), rate performance (5C:0.2C), area specific impedance (at 10% to 90% state of charge (SoC) in 10 breakpoints), long-term cycling capacity (charge at C/5 for 50 cycles, discharge at C/2 for 50 cycles), long-term cycling degradation (at C/2 during 50 cycles of charge and discharge), and cycling columbic efficiency (50 cycles of C/2 charge and discharge). The details of the experimental design that has led to this data as well as comprehensive statistical analysis, and machine learning-based models can be found in the recently published manuscripts by Hidalgo et al. and Faraji-Niri et al. [1,2].
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > Q Science (General) Q Science > QD Chemistry T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TP Chemical technology T Technology > TS Manufactures |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Library of Congress Subject Headings (LCSH): | Lithium ion batteries, Lithium ion batteries -- Design and construction, Electrodes -- Design and construction, Electrochemical analysis, Machine learning | ||||||||
Journal or Publication Title: | Data in Brief | ||||||||
Publisher: | Elsevier | ||||||||
ISSN: | 2352-3409 | ||||||||
Official Date: | February 2024 | ||||||||
Dates: |
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Volume: | 52 | ||||||||
Article Number: | 109798 | ||||||||
DOI: | 10.1016/j.dib.2023.109798 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 23 November 2023 | ||||||||
Date of first compliant Open Access: | 24 November 2023 | ||||||||
RIOXX Funder/Project Grant: |
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