BatteryMFormer Transformer Forecasts Full Battery Degradation Trajectories Early

BatteryMFormer uses a multi-level Transformer with an aging-condition-aware decoder and SOC-interval-localized attention to predict full state-of-health trajectories from early operational data. The model explicitly captures both cross-battery trajectory patterns and within-condition regularities that prior methods treat implicitly.