Battery Aging Dataset for 15 Minute Fast Charging of Samsung 30T Cells
- Description:
- This aging dataset was designed to be used for training/parameterization and testing of machine learning and conventional filter based state of charge and state of health estimation models. A number of characterization tests (HPPC, C/20 charge discharge, etc) are applied to each cell and are followed by repeating series of drive cycle discharges and a fifteen minute fast charge. The characterization and drive cycle tests are repeated until the battery cells reach 70% SOH (around 1500 to 2000 cycles). The rate of aging for each cell is different because each cell is fast charged using a different method (standard CC/CV, boost charge - higher current at low SOC, and two pulsed charge methods). The four cells tested are brand new 3Ah Samsung INR21700-30T lithium ion battery cells. The testing was performed in a thermal chamber at 25 degrees Celsius using an Arbin battery cycler.
- Duque, Josimar, Phillip J. Kollmeyer, and Naguib, Mina
- Contributor(s):
- Kollmeyer, Phil
- Source Repository:
- McMaster University Dataverse
- Publisher(s):
- Borealis
- Access:
- Public
- URL:
- https://doi.org/10.5683/SP3/UYPYDJ
- Publication date:
- 2023-09-25
- Subjects:
- Identifier:
- https://doi.org/10.5683/SP3/UYPYDJ
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