Lithium-ion batteries have been widely used as the energy storage systems in personal
portable electronics (eg cell phones, laptop computers), telecommunication systems, electric …

This paper presents a method for modeling and estimation of the state of charge (SOC) of
lithium-ion (Li-Ion) batteries using neural networks (NNs) and the extended Kalman filter …

Currently, Lithium-ion batteries (LiB) are widely applied in energy storage devices in smart
grids and electric vehicles. The state of charge (SOC) is an indication of the available battery …

Accurate state-of-charge (SoC) estimation is remarkably difficult due to nonlinear
characteristics of batteries and complex application environment in electric vehicles (EVs) …

A more accurate battery state of charge (SOC) estimation method for electric drive vehicles
is developed based on a nonlinear battery model and an extended Kalman filter (EKF) …

State of charge (SOC) estimation is the core algorithm of the battery management system.
However, the commonly used model-based, data-driven, or experiment-based methods …

The lithium-ion battery has a great significance in meeting the growing demand for Electric
Vehicles (EVs) due to its higher energy density, longer life cycle, and notable nominal …

The state of charge (SOC) is one of the most important monitoring states for the battery
management system. It is still a challenge to estimate the battery SOC accurately and stably …

Due to the increasing concern over global warming and fossil fuel depletion, it is expected
that electric vehicles powered by lithium batteries will become more common over the next …

The growing usage of electric vehicles (EVs) has led to significant advancements in
batteries' technology. State of charge (SOC) estimation is an essential function of the battery …