To deal with the indeterminacy of the renewable energy in power system, electrochemical
energy storage system is a promising solution for improving the flexibility of grid. As lithium …

Energy storage systems (ESS) are among the fastest-growing electrical power system due to
the changing worldwide geography for electrical distribution and use. Traditionally, methods …

Accurate and robust battery models are required for the proper design and operation of
battery-powered systems. However, the parametric identification of these models requires …

Electrochemical models play a significant role in today's rapid development and
enhancement of lithium-ion batteries. For instance, they are applied for design and process …

Coot algorithm (COOT) is a new metaheuristic algorithm (MA) based on the swarm of COOT
birds' behavior. Like other MAs, the COOT algorithm may easily become trapped in local …

This paper presents an optimal parameter identification strategy of the lithium‐ion (Li‐ion)
battery model applying a recent metaheuristic artificial ecosystem‐based optimization (AEO) …

Accurate parameter identification of a lithium‐ion battery is a critical basis in the battery
management systems. Based on the analysis of the second‐order RC equivalent circuit …

A lithium-ion battery cell's electrochemical performance can be obtained through a series of
standardized experiments, and the optimal operation and monitoring is performed when a …

To achieve accurate prediction of the nonlinear behavior of lithium‐ion battery, parameters
of the lithium‐ion battery model play a key role for dynamic performance, hence the …

This paper proposes a highly effective voltage cell equalization method for lithium-ion (Li-
ion) battery management systems (BMSs) for several applications, such as nearly zero …