Junran Chen from Borealis Harvested Dataverse published a dataset on April 25, 2026. It contains battery state-of-power measurements across approximately 2,500 test conditions. The data covers four commercial cells, two chemistries, five temperatures, and the full service life from fresh cells to 80% state of health.
Use Cases
- Modeling state-of-power (SOP) nonlinearity based on temperature, pulse duration, and state of health mentioned in the description
- Analyzing the impact of operational history on battery performance based on the described varying histories
- Comparing performance characteristics between NCA and LFP battery chemistries across the described test conditions
- Developing data-driven models for battery state estimation based on the multi-factor test framework
Strengths
- Covers approximately 2,500 distinct test conditions
- Includes data from four commercial cells (Samsung 30T, BYD Blade, A123 APR18650M1A, Tesla Panasonic)
- Tests across five temperatures from -20°C to 40°C and three pulse durations (2, 10, 30 seconds)
- Spans the full service life from fresh cells to 80% state of health
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Description metadata is limited; actual data quality requires manual inspection after download
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- Likely contains laboratory measurements from controlled battery testing.
- Freshness
- Last updated 2026-04-25 04:15:49; freshness should be verified