Graph measures on DMDc modes show battery degradation as a shift from highly connected networks in healthy states to fragmented structures with advancing age.
Prediction of state of health and rema ining useful life of lithium- ion battery using graph convolutional network with dual att ention mechanisms
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Graph Theoretic Approach in Combination With Dynamic Mode Decomposition With Control (DMDc) to Analyze Battery Degradation
Graph measures on DMDc modes show battery degradation as a shift from highly connected networks in healthy states to fragmented structures with advancing age.