High energy density has made Li-ion battery become a reliable energy storage technology
for transport-grid applications. Safely disposing batteries that below 80% of their nominal …

Lithium-ion batteries are the most widely used energy storage devices, for which the
accurate prediction of the remaining useful life (RUL) is crucial to their reliable operation and …

The aging life estimation of lithium-ion batteries (LIBs) is of great significance to the use,
maintenance and economic analysis of energy storage systems. The estimation method of …

Abstract State-of-health (SOH) estimation of lithium-ion batteries is crucial for ensuring the
reliability and safety of battery operation while kee** maintenance and service costs down …

Prognostics and health management (PHM) is developed to guarantee the safety and
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …

Accurately predicting the Remaining Useful Life (RUL) of a Li-ion battery plays an important
role in managing the health and estimating the state of a battery. With the rapid development …

Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …

To achieve an accurate remaining useful life (RUL) prediction for lithium-ion batteries (LIBs),
this study proposes an adaptive self-attention long short-term memory (SA-LSTM) prediction …

Accurate state of health (SOH) estimation for lithium-ion batteries is crucial to ensure the
safety and reliability of electric vehicles. However, traditional neural network algorithms to …

The wide application of lithium-ion batteries makes their lifecycle prognosis a challenging
and hot topic in the battery management research field. Feature extraction is a key step for …