Dataset
Path Dependent Battery Degradation Dataset Part 1
- Alternative title:
- Investigation of Path Dependent Degradation in Lithium-Ion Batteries : Degradation Dataset, T. Raj, D. A. Howey
- Documentation:
- Models that predict battery lifetime require knowledge of the causes of degradation and operating conditions that accelerate it. 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 long-term 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. 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 1 and 2 were exposed to one day of cycling followed by five days of calendar aging at C/2 and C/4 respectively. Cells in groups 3 and 4 were exposed to two days of cycling followed by ten days of calendar aging at C/2 and C/4 respectively. The data collected while the cells were exposed to the combined profiles as well as the reference performance tests and electrochemical impedence 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
- Oxford college:
- St Hilda's College
- Role:
- Contributor
- ORCID:
- 0000-0002-0620-3955
+ Engineering and Physical Sciences Research Council
More from this funder
- Grant:
- EP/N509310/1
- Programme:
- Jaguar Land Rover
- Publisher:
- University of Oxford
- Publication date:
- 2020
- Digital size:
- 3.15GB
- File format:
- .mat
- Digital storage location:
- http://howey.eng.ox.ac.uk/data-and-code/
- DOI:
- Temporal coverage:
- 2017 - 2020
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2020-08-25
Terms of use
- Copyright holder:
- These data are copyright (c) 2020, The Chancellor, Masters and Scholars of the University of Oxford, and the 'Path Dependent Battery Degradation Dataset 1' researchers. All rights reserved.
- Copyright date:
- 2020
- 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 1' 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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