Battery-Life/BatteryLife_Processed

News

• [June 3rd]: Add the complete Stanford dataset as "Stanford_2" (now including both releases of the Stanford dataset). We also corrected data statistics in the readme documents.
• [Apr. 29th 15:20 pm]: We found that some "SOC_interval" records in the ISU_ILCC dataset were wrong. We have fixed the wrong "SOC_interval" records.
• [Mar. 5th]: Due to some network issues, only the data since Mar. 5th, 2025 are complete. Please download the data of version v4 from Zenodo or download the datasets from Huggingface since Mar. 5th, 2025.

Note: Time is (Anywhere on Earth time zone).

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 facilitate 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 990 batteries, 8 different battery formats, 59 different chemical systems, 9 different operation temperatures, and 421 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	837	95	31	27
Package Structure	5	3	1	1
Chemical System	13	45	1	1
Operation Temperature	8	3	1	4
Protocol	406	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 use the data, you should cite the BatteryLife paper and the original papers that produced the data. The updated code of conduct is shown in the repository.

If you are interested in contributing, please contact us via email at rtan474@connect.hkust-gz.edu.cn and whong719@connect.hkust-gz.edu.cn.