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 …

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 …

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 …

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

Accurate remaining useful life (RUL) prediction and state-of-health (SOH) diagnosis are of
extreme importance for safety, durability, and cost of energy storage systems based on …

Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly
crucial role in the intelligent battery health management systems. The advances in deep …

Lithium-ion battery packs in hybrid and electric vehicles, as well as in other traction
applications, are always equipped with a Battery Management System (BMS). The BMS …

Lithium-ion batteries are commonly used to power unmanned aircraft vehicles (UAVs). The
ability to model and forecast remaining useful life of these batteries enables UAV reliability …