Accurate remaining useful life (RUL) prediction of lithium-ion batteries is critical for energy
supply systems. In conventional data-driven RUL prediction approaches, the battery's …

An important component of electric vehicles is the Battery Management System (BMS),
whose main objective is to monitor the state of charge (SoC) of the battery, which can …

Online state-of-charge estimations are critical to lithium-ion batteries in electric vehicles for
safe and reliable operations. To ensure accurate online state estimations, an online battery …

This paper presents two designs of constant-current/constant voltage battery charging
control systems in the form of a cascade control system arrangement with the superimposed …

Lithium-ion batteries are widely applied in sustainable energy conversion system.
Consequently, it is of great research significance to accurately estimate the state of health …

Safely and reliably managing the lithium-ion batteries in electric vehicles for daily operations
relies on accurate state-of-charge estimation. To pursue accurate state-of-charge estimation …

A high number of charge/discharge cycles results in premature aging of distributed energy
storage units (DESUs). Since classical droop control does not consider this issue and leads …

State of charge (SOC) estimation is a crucial challenge faced by battery management
systems. Extended Kalman filter (EKF) based approaches have been widely explored in the …

Phase shift full bridge DC/DC converter gains growing attention as the rapid development of
electric vehicles, battery energy storage systems and microgrids. Comparing to conventional …

Machine learning is an useful approach estimating the state-of-health (SOH) of the lithium-
ion batteries and had been successfully implemented on battery management systems …