Safety-oriented CNN-attention-GRU hybrid network for remaining useful life prediction of lithium-ion batteries
Average error metrics do not show whether a battery RUL model becomes overly optimistic near the end of life, where delayed intervention is most harmful. Prediction intervals are also difficult to interpret when calibration uses test-battery information or when high coverage is obtained only through wide intervals. Thi...