Aging of Samsung INR21700-50E Li-ion Cells: 80 Aged and 2 New Cells

Salvador Ponce Alcantara's dataset contains experimental aging data for 82 Samsung INR21700-50E lithium-ion cells. The work is part of the REBELION project's Work Package 4, aiming to develop a state-of-health diagnostic protocol for battery repurposing and recycling. It includes capacity measurements before and after aging, cycling data, and quasi-stationary open-circuit voltage measurements for 80 aged cells and 2 new cells.

Use Cases

• Modeling battery capacity fade based on different cycling strategies and cycle counts.
• Developing state-of-health diagnostic protocols using quasi-stationary open-circuit voltage (OCV) data.
• Training machine learning models to predict cell degradation from voltage and current time-series data.
• Benchmarking aging models for cylindrical 21700-format lithium-ion cells.

Strengths

• Includes data for 80 cells aged under different cycling strategies and 2 new cells for baseline comparison.
• Provides multiple measurement types per cell: capacity (Coulomb counting), cycling time-series, and quasi-stationary OCV.
• Data is organized in a structured directory-per-cell format with clear file naming conventions.

Limitations

• The dataset is noted as obsolete, superseded by a newer repository with additional data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total file size are unknown, which may limit suitability assessment.

Provenance

Source

e-cienciaDatos Harvested Dataverse, part of the European Commission's REBELION project (HORIZON-CL5-2022-D2-01-10).

Collection Method

Experimental aging of commercial battery cells in a laboratory setting.

Time Range

null

Freshness

Last updated 2025-10-14 21:39:26; freshness should be verified.

Geography

null