.png){kind=icon}
.png){kind=icon}
Return
Battery usage-agnostic multi-task diagnostics using contrastive learning and knowledge-guided voltage relaxation
.png){kind=icon}
PRE
AI
DOI：10.1016/j.est.2026.121961.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Knowledge-guided ECM extracts interpretable features from relaxation. • Contrastive multi-task framework model predicts capacity, SOH, and cathode. • Enable early battery diagnostics using only relaxation voltage.
Keywords:
ECM
contrastive learning
battery diagnostics
voltage relaxation
multi-task framework
Journal
IF:
9.8
Papers:
2.2W
Citations:
10.1W