Published June 27, 2025 | Version 1
Dataset Open

Degradation path indicators for lithium-ion batteries

  • 1. ROR icon University of Bayreuth
  • 2. Bavarian Centre for Battery Technology, University of Bayreuth
  • 3. Chair of Electrical Energy Systems, University of Bayreuth

Description

Short term aging study of a commercial lithium-ion battery

This dataset contains data from 48 commercial lithium-ion cells at beginning of life, during aging, and end of life. Information on the measurements performed can be taken in part from this readme file.  CCCV discharge capacity, pulse measurements in the charge and discharge direction, pseudo OCV measurements, EIS measurements, and NFRA measurements are recorded.  All measurements are performed in a BaSyTec Cell Test Systems (CTS-Lab) are used for cyclic aging and reference performance tests (RPT). Two climate chambers (Binder KB53 and CTS T-40/50) were used to control environmental conditions. EIS and NFRA measurements are performed using Zahner ZENNIUM Pro.

The data of each of the cells is uploaded as a zip file and each zip file has multiple files that represent different tests as described in the table below.

File name Description
M0001_checkup First checkup cycle at beginning of life, which consists of discharge capacity measurements, pulse measurements, pseudo OCV measurements.
M0002_aging Raw aging data of the cell cycled from 0%-100% SOC at a given temperature and C-rate for 70 cycles
M0003_checkup Final checkup cycle at end of life which has consists of discharge capacity measurements, pulse measurements, pseudo OCV measurements
fxxxx_bol EIS measurement at beginning of life
fxxxx_bol_nfra NFRA measurement at beginning of life
fxxxx_eol EIS measurement at end of life
fxxxx_eol_nfra NFRA measurement at end of life
F00xx_bol_peak DRT data from beginning of life
Fxxxx_eol_peak DRT data from end of life

It should be noted that some EIS and NFRA might occur twice and they are appropriately numbered. The file extracted_degradation_metrics.xlsx contains information about the aging conditions for each of the cells tested in the study and degradation metrics extracted from the raw data. 

 

 

Files

F0001.zip

Files (918.3 MB)

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Additional details

Related works

Is supplemented by
Software: 10.5281/zenodo.15837706 (DOI)

Software

Programming language
Python
Development Status
Unsupported