Graph measures on DMDc modes show battery degradation as a shift from highly connected networks in healthy states to fragmented structures with advancing age.
State-of-health estimation of lithium-i on batteries using a kernel support vector machine tuned by a new nonlinear gray wolf algorithm
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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.