Work Description

Title: Battery test data - fast formation study Open Access Deposited

There are no ingest append scripts associated with this work.
h
Attribute Value
Methodology
  • Forty prismatic lithium-ion pouch cells were built at the University of Michigan Battery Laboratory. The cells have a nominal capacity of 2.36Ah and comprise a NCM111 cathode and graphite anode. Cells were formed using two different formation protocols: "fast formation" and "baseline formation". After formation, cells were put under cycle life testing at room temperature and 45degC. Cells were cycled until the discharge capacities dropped below 50% of the initial capacities. Data was collected by the cycler equipment (Maccor) during both the formation process as well as during the cycling test. Data was processed in the Voltaiq software and subsequently exported as .csv files.
Description
  • The goal of this research is to investigate the impact of fast formation protocol on battery lifetime. The dataset has also been used to explore data-driven approaches in battery lifetime estimation (manuscript under review). Source code used to generate the results for this work has been included. The file contents contain a detailed README.md file which describes the organization of the files.
Creator
Depositor
  • asweng@umich.edu
Contact information
Discipline
Funding agency
  • National Science Foundation (NSF)
ORSP grant number
  • 176224
Date coverage
  • 2020 to 2021
Citations to related material
Resource type
Curation notes
  • On April 26, 2022 record was updated with additional creators.
Last modified
  • 11/17/2022
Published
  • 09/24/2021
DOI
  • https://doi.org/10.7302/pa3f-4w30
License
To Cite this Work:
Weng, A., Mohtat, P., Attia, P., Less, G., Lee, S., Stefanopoulou, A. (2021). Battery test data - fast formation study [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/pa3f-4w30

Relationships

This work is not a member of any user collections.

Files (Count: 2; Size: 2.37 GB)

Fast Formation Data

Andrew Weng

9/22/2021

DOI: https://doi.org/10.7302/pa3f-4w30

Description

The dataset supports research to investigate the impact of fast formation protocols on battery lifetime. The dataset has been used to explore data-driven approaches in battery lifetime estimation.

Source code used to generate the results for this work has been included.

Methodology

Forty prismatic lithium ion pouch cells were built at the University of Michigan Battery Laboratory. The cells have a nominal capacity of 2.36Ah and comprise of a NCM111 cathode and graphite anode.

Cells were formed using two different formation protocols: "fast formation" and "baseline formation".

After formation, cells were put under cycle life testing at room temperature and 45degC. Cells were cycled until the discharge capacities dropped below 50% of the initial capacities.

Data was collected by the cycler equipment (Maccor) during both the formation process as well as during the cycling test. Data was processed in the Voltaiq software and subsequently exported as .csv files.

Description of Folders

  • code contains a copy of the source code (https://doi.org/10.5281/zenodo.5525258)
  • data includes all of the raw cycler data files, including during formation, during cycling, and for the coin cells
  • documents contain cell tracker files and test schedules
  • output contains post-processed data outputs

Download All Files (To download individual files, select them in the “Files” panel above)

Total work file size of 2.37 GB may be too large to download directly. Consider using Globus (see below).

Files are ready   Download Data from Globus
Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus