Lithium-ion battery aging mechanism analysis and health prognostics are of great
significance for a smart battery management system to ensure safe and optimal use of the …

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 …

Reliable state of health (SOH) estimation is significant for safe operation of lithium-ion
batteries (LIBs). However, due to the strong nonlinearity of battery degradation and complex …

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

The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …

The rapid development of lithium-ion battery (LIB) technology promotes its wide application
in electric vehicle (EV), aerospace, and mobile electronic equipment. During application …

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

There is a recognized need to forecast lithium-ion batteries' state of health (SOH) to
guarantee their safety and reliability. However, the selected health indicators highly …

Deep neural networks have been widely used in battery health management, including state-
of-health (SOH) estimation and remaining useful life (RUL) prediction, with great success …

Accurate state of health (SOH) estimation is significantly important to ensure the safe and
reliable operation of lithium-ion battery. Most existing data-driven estimation methods are …