3 papers
cs.LG2026
Pretrained battery transformer (PBT): A foundation model for battery life prediction
Ruifeng Tan, Weixiang Hong, Jia Li +2
Early prediction of battery cycle life is essential for improving battery design, manufacturing and deployment. However, despite encouraging progress with machine learning, battery…
cs.AI2026
BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting
Ruifeng Tan, Jintao Dong, Weixiang Hong +3
Early battery degradation trajectory forecasting (BDTF), which predicts the full-life state-of-health trajectory from early operational data, is critical for battery optimization,…
cs.LG2025
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction
Ruifeng Tan, Weixiang Hong, Jiayue Tang +6
Battery Life Prediction (BLP), which relies on time series data produced by battery degradation tests, is crucial for battery utilization, optimization, and production. Despite imp…