With the rapid global growth in demand for renewable energy, the traditional energy
structure is accelerating its transition to low-carbon, clean energy. Lithium-ion batteries, due …

This study explores the challenges and advances in the estimation of the state of charge
(SOC) of lithium-ion batteries (LIBs), which are crucial to optimizing their performance and …

Due to the wide range of operating conditions under which a lithium-ion battery operates, it
is essential to develop models that are able to replicate experimental behavior in a variety of …

This paper establishes a study for an accurate parameter modeling method for lithium-ion
batteries. A precise state space model generated from an equivalent electric circuit is used …

This work introduces a sophisticated impedance-based equivalent circuit model of the
electrochemical processes inside a lithium-ion battery cell. The influence on the electrical …

In this study we define a comprehensive method for analyzing electrochemical impedance
spectra of lithium batteries using equivalent circuit models, and for information extraction on …

Temperature constitutes a critical variable in the operation of lithium-ion batteries, given its
major influence on their behavior, as well as for safety reasons in real-world applications …

Accurate estimation of SOC is crucial for the safe and efficient utilization of electric vehicles,
portable devices and renewable energy systems. Neural networks have become a powerful …

The widespread deployment of electric vehicles (EVs), as well as the growing requirements
both from manufacturers and consumers, necessitate an increase in energy density with …

Lithium-ion batteries (LIBs) are critical components of electric vehicles and energy storage
systems. However, low ambient temperatures can significantly slow down the …