Authors: Shengyu Tao, Ruohan Guo, Jaewoong Lee, Scott Moura, Lluc Canals Casals, Shida Jiang, Junzhe Shi, Stephen Harris, Tongda Zhang, Chi Yung Chung, Guangmin Zhou, Jinpeng Tian, Xuan Zhang
Published: 2025-06-20
DOI: 10.1039/d5ee02217g
Source: Full article
This work proposes a novel deep generative transfer learning algorithm to estimate the relative remaining capacity of second-life batteries using minimal field data, enabling safe and sustainable reuse under data scarce and heterogeneous conditions.