Data for: Unlocking Interpretable Prediction of Battery Random Discharge Capacity with Domain Adaptative Physics Constraint
收藏官方服务:
资源简介:
Data for: Unlocking Interpretable Prediction of Battery Random Discharge Capacity with Domain Adaptative Physics Constraint. Please cite our paper (10.1002/aenm.202405506) if the data is used. The dataset contains two second-life application batteries cycling with random discharge current rates. EIS test is conducted after each fully charged process. Cell 1 EIS1 and Cell 2 EIS3 data have duplicates due to the test system faults. It is recommended to exclude these two subsets for usage. The two cells are open after cycling and the SEM test pictures are provided. For detailed descriptions of the data, please refer to our paper.
提供机构:
Zenodo创建时间:
2024-11-22



