Learning for Battery Degradation Trajectory Forecasting

BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting

Announce Type: replace Abstract: Early battery degradation trajectory forecasting (BDTF), which predicts the full-life state-of-health trajectory from early operational data, is critical for battery optimization, manufacturing, and deployment. Battery degradation data exhibit two key characteristics. First, degradation data present a multi-level structure, including regularities shared within aging conditions and trajectory patterns shared across batteries.