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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

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Hilda's College
Role:
Depositor, Creator

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Hilda's College
Role:
Contributor
ORCID:
0000-0002-0620-3955
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Programme:
Jaguar Land Rover
Grant:
EP/N509310/1
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:
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 i... Expand documentation
Deposit date:
2020-08-25

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