A Probabilistic Data-Driven Ensemble Approach for Battery Remaining Useful Life (RUL) Prognostics
A novel dynamic ensemble weighting mechanism that adaptively adjusts each base model’s contribution as a function of degradation stage, operating-condition similarity, and recent prediction residuals, and a principled decomposition of total predictive uncertainty into epistemic and aleatoric components are presented.