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

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

Due to the inability to directly measure the internal state of batteries, there are technical
challenges in battery state estimation, defect detection, and fault diagnosis. Ultrasonic …

Prediction of state-of-health and remaining useful life is crucial to the safety of lithium-ion
batteries. Existing state-of-health and remaining useful life prediction methods are not …

Lithium-ion batteries are widely used as effective energy storage and have become the main
component of power supply systems. Accurate battery state prediction is key to ensuring …

Accurate state of health (SOH) of batteries is a crucial prerequisite for ensuring the safety
and stable operation of electric vehicles. However, existing conventional prediction methods …

An accurate aging forecasting and state of health estimation is essential for a safe and
economically valuable usage of lithium-ion batteries. However, the non-linear aging of …

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 estimation of the State of Health (SOH) for lithium-ion batteries is necessary for the
stable operation of the battery system. To accurately estimate the SOH for lithium-ion …

Lithium-ion battery has presented a rapid growth as the power source of electric vehicles
(EVs). The state of health (SOH) estimation plays an important role in ensuring the safe …