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Sera: Semantic Representation Aggregation for Reliable and Interpretable Battery Health Forecasting
Battery state of health (SoH) forecasting is important for battery management, but remains challenging due to nonlinear degradation and heterogeneity across batteries. Existing data-driven approaches primarily use temporal models to learn from numerical battery time series, and higher-level degradat
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