Lithium-ion battery aging mechanism analysis and health prognostics are of great
significance for a smart battery management system to ensure safe and optimal use of the …

With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …

Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …

Accurate estimation of the state of charge (SOC) and state of health (SOH) is a fundamental
requirement for the management system of a lithium-ion battery, but also important to the …

Due to the dynamic and non-linear behavior of lithium-ion battery (LIB) states, the accuracy
of state estimation proportionally impacts the performance of the battery management …

As the unscented Kalman filtering algorithm is sensitive to the battery model and susceptible
to the uncertain noise interference, an improved iterate calculation method is proposed to …

Accurate estimations of battery state-of-charge (SOC) for energy storage systems are
popular research topics in recent years. Numerous challenges remain in several aspects …

Lithium-ion batteries are widely used in many electronic and electrical devices, and
accurately predicting their remaining useful life is essential to ensure the safe and reliable …

With the rapid development and widespread application of smart grids, electric vehicles and
various electronic devices, the demand of lithium-ion battery (LIB) is constantly increasing …

Accurate state of charge (SOC) and closed-circuit voltage (CCV) prediction is essential for
lithium-ion batteries and their model performance. In this study, a novel feedback correction …