Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …

Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …

In recent years, prognostic and health management (PHM) has played an important role in
industrial engineering. Efficient remaining useful life (RUL) prediction can ensure the …

Accurate forecasting of the lifetime and degradation mechanisms of lithium-ion batteries is
crucial for their optimization, management, and safety while preventing latent failures …

Despite significant progress in the Prognostics and Health Management (PHM) domain
using pattern learning systems from data, machine learning (ML) still faces challenges …

Battery cycle life prediction using early degradation data has many potential applications
throughout the battery product life cycle. For that reason, various data-driven methods have …

Accurate remaining useful life (RUL) prediction of batteries plays an important role in battery
management. The existing methods mainly rely on the battery test data under ideal …

Early battery lifetime prediction is important for both safety reasons and battery development.
It predicts battery lifetime before it degrades significantly and has the advantage of being low …

Lithium-ion batteries (Li-ion) have revolutionized energy storage technology, becoming
integral to our daily lives by powering a diverse range of devices and applications. Their …

To maintain safe and dependable battery operation and lower battery system maintenance
costs, state of health (SOH) estimate, one of the primary BMS tasks for electric vehicles, is …