UConn-ILCC NMC/Gr Battery Aging Dataset focuses on the degradation of lithium-ion batteries. The dataset likely contains experimental measurements related to battery performance over time. It originates from the University of Connecticut's Institute for Materials Science (UConn-ILCC).
Use Cases
- Train a model to predict battery capacity fade over cycles (inferred from domain, verify after download)
- Analyze the relationship between charging protocols and degradation mechanisms (inferred from domain, verify after download)
- Benchmark battery aging simulation algorithms (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with established data sharing infrastructure.
- Focuses on Nickel Manganese Cobalt (NMC) and Graphite (Gr) battery chemistry, a common commercial type.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and temporal coverage are unknown, which may limit suitability assessment.
Provenance
- Source
- University of Connecticut Institute for Materials Science (UConn-ILCC)