The accurate estimation of the state of charge, the state of health and the prediction of
remaining useful life of lithium–ion batteries is an important component of battery …

With increasing concerns about climate change, there is a transition from high-
carbonemitting fuels to green energy resources in various applications including household …

The prediction of remaining useful life (RUL) in lithium-ion batteries (LIB) serves as a critical
health index for evaluating battery parameters, including efficiency, robustness, and …

Batteries are considered critical elements in most applications nowadays due to their power
and energy density features. However, uncontrolled charging and discharging will …

This paper presents a comprehensive survey of machine learning, deep learning, and digital
twin technology methods for predicting and managing the battery state of health in electric …

Accurate and reliable prediction of the future capacity degradation of lithium-ion batteries is
crucial for their application in electric vehicles. Recent publications have highlighted the …

The cycle life and efficiency of a battery pack get enhanced by employing an intelligent
supporting system with it called the Battery Management System (BMS). A novel …

Battery management systems (BMSs) play a critical role in electric vehicles (EVs), relying
heavily on two essential factors: the state of charge (SOC) and state of health (SOH) …

Predicting the remaining useful life (RUL) is a pivotal step in ensuring the reliability of lithium-
ion batteries (LIBs). In order to enhance the precision and stability of battery RUL prediction …

As an important performance indicator of battery management systems, lithium-ion battery
state of health (SOH) information is crucial to ensure battery safety and extend battery …