NASA PCoE Lithium-Ion Battery Experimental Data

Experimental time-series data records the performance and degradation of lithium-ion batteries. The dataset originates from NASA's Prognostics Center of Excellence (PCoE). Specific details on the number of batteries, cycles, and measurement variables are not provided.

Use Cases

• Predict battery remaining useful life (RUL) from voltage, current, and temperature time-series measurements.
• Model battery capacity fade over charge-discharge cycles using cycle index and capacity measurements.
• Identify failure precursors by analyzing patterns in internal resistance or impedance data across cycles.
• Train anomaly detection models on operational data like discharge voltage curves to flag early degradation.

Strengths

• Data is collected from controlled laboratory experiments, ensuring measurement consistency.
• Originates from NASA PCoE, a recognized authority in prognostics and health management.

Limitations

• The exact sample size (number of battery cells tested) is unknown, limiting assessment of statistical power.
• Specific measured features (columns) and data completeness are not detailed, complicating immediate usability.

Provenance

Source

NASA Prognostics Center of Excellence (PCoE)

Collection Method

Laboratory experiments on lithium-ion batteries, likely involving repeated charge-discharge cycles under various conditions.