Accelerated Life Testing Data for Lithium-Ion Battery Packs

An accelerated life testing dataset for lithium-ion batteries under constant and variable loading conditions. It characterizes the life cycle of 26 battery packs composed of two 18650 cells, including tests on second-life batteries assembled from previously aged cells. The dataset was generated by researchers from the University of Central Florida's Probabilistic Mechanics Laboratory.

Use Cases

• Model battery capacity degradation and remaining useful life using voltage, current, and temperature data from 26 packs.
• Analyze the impact of constant versus random loading conditions on battery health management metrics.
• Compare degradation patterns between first-life and second-life battery packs using cycle data.
• Develop prognostics algorithms for battery packs using features like voltage and capacity fade over cycles.

Strengths

• Data covers 26 distinct battery packs, enabling statistical analysis of failure modes.
• Includes testing on second-life batteries, a specific and relevant condition for reuse studies.
• Dataset is explicitly designed for accelerated life testing under a range of load levels and conditions.

Limitations

• The specific number of data rows, columns, and measurement intervals is unknown.
• Data scope is limited to a specific experimental setup from a single laboratory, not field data.
• Potential for unknown biases based on the custom testbed's design and the selected loading protocols.

Provenance

Source

Probabilistic Mechanics Laboratory, University of Central Florida, via NASA's data.gov.

Collection Method

Generated from a custom-made testbed cycling 26 battery packs under controlled constant and random loading conditions.

Freshness

Last updated in May 2025.

Geography

Data collection location not specified; research conducted at University of Central Florida, USA.