Accurate state of charge (SOC), state of health (SOH), and degradation estimation are
important when using second-life batteries for maximum demand reduction applications …

This paper focuses on the research and simulations of the energy storage system with
higher efficiency (or durability), consisting of an electrochemical battery, which was …

This article presents a methodology of the prediction of chosen parameters of an energy
storage system in subsequent recharging cycles. Because of a nonlinear description of …

In the following work research on lead acid battery–ultracapacitor hybrid energy storage was
presented. The maximum output power and energy storage capabilities of the mentioned …

Distributed energy storage using low‐cost valve regulated lead acid (VRLA) batteries
becomes a promising solution, especially in prosumer microinstallations. In herein work, the …

In the following article research results for VRLA gel battery performance in the dynamic
load cycle is presented. The research was conducted for several-hundred consecutive …

This article presents an artificial neural network (ANN) model of the ultracapacitors based on
experimental data acquired from laboratory purposely built test stand for dynamic load cycle …

This work presents a prediction of battery terminal voltage in subsequent
charging/discharging cycles. To estimate chosen signals the NARX (AutoRegressive with …

Existing methods of state of charge (SOC) estimation have limitations such as requiring an
accurate battery model or frequent calibration, making them unsuitable for energy storage …

The following work presents the model-assisted research on Valve-Regulated Lead-Acid
(VRLA) Absorbent Glass Mat (AGM) battery in pulse operation cycle. The experimental …