Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …

The reliable prediction of state of charge (SOC) is one of the vital functions of advanced
battery management system (BMS), which has great significance towards safe operation of …

Accurate state-of-health (SOH) estimation is critical for reliable and safe operation of lithium-
ion batteries. However, reliable and stable battery SOH estimation remains challenging due …

An in-depth understanding of battery degradation and aging in-Operando not only plays a
vital role in the design of battery managing systems but also helps to ensure safe use and …

Prognostics and health management (PHM) are developed to accurately estimate the state
of health (SOH) of lithium-ion batteries, which are crucial parts for planning the employment …

Abstract Accurate SOH (State of Health) estimation is one of the key technologies to ensure
the safe operation of lithium-ion batteries. When predicting SOH, efficient data feature …

The state of charge (SOC) estimation of lithium-ion battery (LIB) based on recurrent neural
network (RNN) has been a popular research due to its suitability for time series data …

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 …

Abstract Machine learning-based methods have emerged as a promising solution to
accurate battery capacity estimation for battery management systems. However, they are …

Accurate capacity estimation is essential in the management of lithium-ion batteries, as it
guarantees the safety and dependability of battery-powered systems. However, direct …