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 …

Precise prediction of lithium‐ion cell level aging under various operating conditions is an
imperative but challenging part of ensuring the quality performance of emerging applications …

The principal contribution of this article focusing on obtaining a precise model of the lithium-
ion battery (LiB). This in fact affects the simulation analyses and dynamics of such batteries …

To advance the field of lithium-ion battery (LIB) research, this paper unveils an accurate
modelling of LIB that primarily relies on the equivalent circuit model, backed by the Osprey …

This research article demonstrates how to get a precise lithium-ion battery (LIB) model using
one of the artificial intelligence algorithms called the Walrus optimization algorithm (WaOA) …

To predict the lithium-ion (Li-ion) battery degradation trajectory in the early phase, arranging
the maintenance of battery energy storage systems is of great importance. However, under …

The electrochemical models (EMs) have gained increasing attention for their ability to reflect
the internal states of the lithium-ion battery, yet the parameter identification is still an …

The challenge of accurately determining the unknown parameters of Lithium-ion batteries
(LiBs) is primarily attributed to the intricate dynamics of these batteries, their non-linear …

As artificial intelligence (AI) technologies have advanced, neural network-based aging
estimation has been extensively studied for lithium-ion batteries. Its performance has also …

Parameters of lithium-ion electrochemical battery model have a great impact on the
simulation accuracy, so their accurate identification plays an important role in terms of …