This study presents a comprehensive review of State of Charge (SOC) estimation methods
for Lithium-Ion (Li-Ion) batteries, with a specific focus on Electric Vehicles (EVs). The …

Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …

Lithium-ion batteries are ubiquitous in applications ranging from portable electronics to
electric vehicles. Irrespective of the application, reliable real-time estimation of battery state …

Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …

Abstract Lithium-ion Batteries (LiB) have a wide range of applications in daily life. However,
as they get used over time, battery degradation becomes inevitable, which can lead to a …

Lithium-ion battery remaining useful life (RUL) is an essential technology for battery
management, safety assurance and predictive maintenance, which has attracted the …

The growing interest and recent breakthroughs in artificial intelligence and machine learning
(ML) have actively contributed to an increase in research and development of new methods …

Accurate health estimation and lifetime prediction of lithium-ion batteries are crucial for
durable electric vehicles. Early detection of inadequate performance facilitates timely …

Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …

Accurately estimating the state of health (SOH) of lithium-ion batteries (LIBs) can avoid
safety accidents and economic losses, and it remains a big research challenge. In this …