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 …

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 safety of lithium-ion battery (LIB)-powered electric vehicles and stationary energy
storage devices relies on a high-efficient state of health (SOH) prediction of the LIB system …

In the rapidly evolving landscape of energy storage, lithium-ion batteries stand at the
forefront, powering a vast array of devices from mobile phones to electric vehicles and …

Considering the variabilities among each cell especially during the battery accelerated
decay period, the parameterized empirical model is doubtful for predicting the Lithium-ion (Li …

Efficient battery capacity estimation is of utmost importance for safe and reliable operations
of electric vehicles (EVs). This article proposes a battery capacity estimation framework …

With the continuous development of the global new energy industry, lithium-ion batteries as
new energy and the heart of intelligent manufacturing have attracted much attention. But the …

Prognostics and health management (PHM) will ensure the safe and reliable operation of
the battery systems. The remaining useful life (RUL) prediction as one of the major PHM …

Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is essential for
battery management systems (BMS) as rapid capacity declines and failure can impact …

Wrapper methods are widely employed in feature selection for status prediction of lithium-
ion batteries and Gaussian process regression (GPR) is often adopted for state-of-health …