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Path Dependent Battery Degradation Dataset Part 3

Documentation:
Batteries experience two aging modes: calendar aging at rest and cyclic aging during the passage of current. Existing empirical aging models treat these as independent, but degradation may be sensitive to their order and periodicity – a phenomenon that has been called ‘path dependence’. This dataset was collected to study the influence of path dependence in commercially available lithium-ion 18650 cells with nickel cobalt aluminium oxide (NCA) positive electrodes and graphite negative electrodes. It was collected in order to support the data presented in 'Path Dependent Battery Degradation Dataset Part 1, https://doi.org/10.5287/bodleian:v0ervBv6p' and 'Path Dependent Battery Degradation Dataset Part 2, https://doi.org/10.5287/bodleian:2zvyknyRg' by investigating the impact that modified calendar/cyclic conditions has on path dependence. Four groups of 3 cells each were subjected to combined load profiles comprising fixed periods of calendar and cyclic aging applied in various orders. Cells in groups 7 were exposed to 1 day of constant current constant voltage (CCCV) cycling at C/2 followed calendar aging at 90% state of charge (SoC) for 5 days which was compared to group 8 that was exposed to 2 days of CCCV cycling at C/2 followed by 10 days of calendar aging at 90% SoC. Groups 9 and 10 were designed to understand the influence of calendar aging conditions on path dependence. Group 9 was exposed to 1 day of CCCV cycling at C/2 followed by calendar aging at 4.2V (100% SoC) for 5 days while cells in group 10 were subjected to 2 days of CCCV cycling at C/2 and 10 days of calendar aging at 4.2V. The data collected while the cells were exposed to the combined profiles as well as the reference performance tests and electrochemical impedance spectroscopy data is included in this dataset. Further information is available in the readme.txt file.

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Data collector, Creator

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Contributor
ORCID:
0000-0002-0620-3955


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Funder identifier:
http://dx.doi.org/10.13039/501100000266
Grant:
D4T00061 DF00.01


Publisher:
University of Oxford
Publication date:
2021
File format:
.mat
Digital storage location:
n: https://howey.eng.ox.ac.uk/data-and-code/
DOI:
Temporal coverage:
2018 - 2020


Language:
English
Keywords:
Subjects:
Deposit date:
2021-03-02

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