Dataset
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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Authors/Creators
Contributors
+ Howey, D
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Engineering Science
- Role:
- Contributor
- ORCID:
- 0000-0002-0620-3955
+ Engineering and Physical Sciences Research Council
More from this funder
- 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
Terms of use
- Copyright holder:
- The Chancellor, Masters and Scholars of the University of Oxford, and the 'Path Dependent Battery Degradation Dataset 3' researchers
- Copyright date:
- 2021
- Rights statement:
- These data are copyright (c) 2020, The Chancellor, Masters and Scholars of the University of Oxford, and the 'Path Dependent Battery Degradation Dataset 3' researchers. All rights reserved. THIS DATA IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS DATA, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- Licence:
- ODC Open Database License (ODC-ODbL)
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