Oxford Battery Degradation: Long-Term Cycling of 8 Lithium-Ion Cells

The Oxford Battery Degradation Dataset 1 contains results from long-term cycling of 8 lithium-ion cells conducted in a lab at Oxford. The dataset addresses limited understanding of the complex physical and chemical mechanisms behind battery performance deterioration and failure. It was contributed by Christoph Birkl.

Use Cases

• Modeling battery capacity fade over time based on long-term cycling data
• Predicting cell failure events based on performance deterioration patterns
• Analyzing the impact of usage and environmental conditions on degradation mechanisms

Strengths

• Data originates from controlled long-term cycling experiments in a lab setting.
• The dataset focuses on a specific, critical problem in energy storage technology.

Limitations

• Row count, column definitions, and file formats are unknown, limiting suitability assessment.
• Last update date is unknown; freshness unverified.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Christoph Birkl, Oxford

Collection Method

Long-term cycling experiments in a laboratory.