license: mit
tags:
- Battery
- chemistry
Here are the processed datasets for our work, "BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction."
The purpose of proposing this data is to faciliate battery life prediction research. It is also possible to use the processed datasets for other battery informatics tasks. This dataset consists of four sub-datasets: Li-ion, Zn-ion, Na-ion, and CALB datasets. It includes 998 batteries, 8 different battery formats, 80 different chemical systems, 12 different operation temperatures, and 646 different charge/discharge protocols in a uniform data format. The details of each sub-dataset are described in the table below:
| Li-ion | Zn-ion | Na-ion | CALB | |
|---|---|---|---|---|
| Battery Number | 845 | 95 | 31 | 27 |
| Package Structure | 5 | 3 | 1 | 1 |
| Chemical System | 15 | 63 | 1 | 1 |
| Operation Temperature | 8 | 3 | 2 | 4 |
| Protocol | 631 | 1 | 12 | 2 |
| Data Source | Lab test | Lab test | Lab test | Industrial test |
| Battery Type | Li-ion | Zn-ion | Na-ion | Li-ion |
Other details can be found in README.md in each sub-dataset.
The official repository for preprocessing and benchmarking is available at: https://github.com/Ruifeng-Tan/BatteryLife
If you are interested in contributing, please contact us via email at [email protected] and [email protected].