Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning

作者:Guijun Ma, Songpei Xu, Benben Jiang, Cheng Cheng, Xin Yang, Yue Shen, Tao Yang, Yunhui Huang, Han Ding, Ye Yuan · 发表于:Energy & Environmental Science · 年份:2022 · DOI:10.1039/d2ee01676a · 被引用次数:299 · 研究领域:Advanced Battery Technologies Research、Advancements in Battery Materials、Electric Vehicles and Infrastructure

We have developed a high-performance deep transfer learning framework to predict the health status of lithium-ion batteries for each end-user at any charge–discharge cycle.