Battery aging assessment: from critical insights to enhanced diagnosis

Rate-adaptive, mechanistic-aware model converts high C-rate features into low-rate equivalents and corrects aging-induced mismatches via residual learning, enabling rapid, interpretable health diagnostics and early cycle-life prediction.