Battery degradation, caused by multiple coupled degradation mechanisms, severely affects
the safety and sustainability of a battery management system (BMS). The battery state of …

Great progress has been made in deep learning (DL) based state-of-health (SOH)
estimation of lithium-ion batteries, which helps to provide recommendations for predictive …

The safety issue of the lithium-ion batteries is the key to their application and development.
The management of lithium-ion batteries has been a hot topic of research for many years …

The safe and reliable operation of lithium-ion batteries necessitates the accurate prediction
of remaining useful life (RUL). However, this task is challenging due to the diverse ageing …

For large-scale in-service electric vehicles (EVs) that undergo potential maintenance,
second-hand transactions, and retirement, it is crucial to rapidly evaluate the health status of …

Abstract State-of-health (SOH) estimation is critical for the reliable operation of lithium-ion
batteries. Existing methods for manually extracting health features from constant-current …

Contemporary lithium‐ion batteries (LIBs) are one of the main components of energy
storage systems that need effective management to extend service life and increase …

A fast-charging policy is widely employed to alleviate the inconvenience caused by the
extended charging time of electric vehicles. However, fast charging exacerbates battery …

Lithium-ion batteries have an essential characteristic in consumer electronics applications
and electric mobility. However, predicting their lifetime performance is a difficult task due to …

With its generality and practicality, the combination of partial charging curves and machine
learning (ML) for battery capacity estimation has attracted widespread attention. However, a …