Battery health prognostic using efficient and robust aging trajectory matching with ensemble deep transfer learning

发布时间:2024-02-29|点击次数:

所属单位:控制科学与工程学院

论文名称:Battery health prognostic using efficient and robust aging trajectory matching with ensemble deep transfer learning

发表刊物:Energy

第一作者:赵光财

论文编号:1516B0F0B94149238996BAC79B594CA3

卷号:282

字数:6000

是否译文:否

发表时间:2023-11-01