Online prediction of lithium-ion battery’s remaining useful life with multiple health indicators and hybrid SAE-LSTM-1DCNN model
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Published online on January 29, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Ahead of Print.
Accurate and efficient prediction of the remaining useful life (RUL) of lithium-ion batteries is critical for ensuring their safe operation, preventing catastrophic accidents, and mitigating potential economic losses. Health indicators (HIs) are capable ...
Accurate and efficient prediction of the remaining useful life (RUL) of lithium-ion batteries is critical for ensuring their safe operation, preventing catastrophic accidents, and mitigating potential economic losses. Health indicators (HIs) are capable ...