Summary: The dataset includes data from Li-ion batteries tested under varying conditions to model degradation and predict failure, focusing on discharge cycles and environmental impacts.
| Parameter | Value |
|---|---|
| Name | Li-ion Battery Aging Datasets |
| Labeled | Yes |
| Time Series | Yes |
| Simulation | No |
| Missing Values | No |
| Dataset Characteristics | Time-Series, Multivariate |
| Feature Type | Real |
| Associated Tasks | Prognostics |
| Number of Instances | INA |
| Number of Features | INA |
| Date Donated | 2010-09-13 |
| Source | NASA |
This data set has been collected from a custom built battery prognostics testbed at the NASA Ames Prognostics Center of Excellence (PCoE). Li-ion batteries were run through 3 different operational profiles (charge, discharge and Electrochemical Impedance Spectroscopy) at different temperatures. Discharges were carried out at different current load levels until the battery voltage fell to preset voltage thresholds. Some of these thresholds were lower than that recommended by the OEM (2.7 V) in order to induce deep discharge aging effects. Repeated charge and discharge cycles result in accelerated aging of the batteries. The experiments were stopped when the batteries reached the end-of-life (EOL) criteria of 30% fade in rated capacity (from 2 Ah to 1.4 Ah).
Battery health, Prognostics, Electrochemical impedance spectroscopy, Deep discharge, Aging effects