Battery health management in the era of big field data

被引:1
|
作者
Guo, Ruohan [1 ,2 ]
Tian, Jinpeng [1 ,2 ]
机构
[1] Hong Kong Polytech Univ, Dept Elect & Elect Engn, Kowloon, Hong Kong 999077, Peoples R China
[2] Hong Kong Polytech Univ, Res Ctr Grid Modernisat, Kowloon, Hong Kong 999077, Peoples R China
关键词
D O I
10.1016/j.joule.2024.10.002
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Battery storage systems (BSSs) are emerging as pivotal components for facilitating the global transition toward transportation electrification and grid-scale renewable energy integration. Nevertheless, a significant research gap persists due to the lack of large-scale, publicly available field data from real-world BSS deployments, thereby hindering the advancement of state-of-the-art health monitoring for lithium-ion batteries. In a recent issue of Nature Energy, Figgener et al. have introduced a large-scale dataset containing field measurements from 21 household BSSs in Germany over 8 years, now publicly accessible via Zenodo. This dataset serves as the first of its kind in the battery research field, laying the groundwork for bridging laboratory research and real-world applications.
引用
收藏
页码:2951 / 2953
页数:3
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