Lithium-ion battery prognostics and health management (BPHM) systems are vital to the
longevity, economy, and environmental friendliness of electric vehicles and energy storage …

In recent years, artificial neural networks (ANNs) have significantly advanced in both health
estimation and lifetime prediction of lithium-ion batteries. The great success of ANNs stems …

Accurate estimating the state of health (SOH) and state of charge (SOC) is crucial for
ensuring the reliable and safe operation of lithium-ion batteries. Traditional methods for the …

Abstract The State of Health (SOH) of lithium-ion batteries significantly impacts the
performance, safety, and reliability of the battery, making it a crucial component of the battery …

As the world accelerates its renewable energy transition, lithium-ion batteries are
increasingly being used for large scale energy storage. Due to the high cost of production …

The efficient and accurate state-of-health (SOH) estimation is crucial for reducing risks and
ensuring effective application in battery management systems (BMS) of resource-limited …

The growing market for electric vehicles and portable electronics requires the reliability
assessment of Li-ion batteries, especially in terms of nonlinear capacity degradation. For this …

With the rapid adoption of Internet of Things (IoT) and artificial intelligence (AI), lithium-ion
battery state-of-health (SOH) estimation plays an important role in guaranteeing the secure …

For a lithium-ion (Li-ion) battery to operate safely and reliably, an accurate state of health
(SOH) estimation is crucial. Data-driven models with manual feature extraction are …

Electric bicycles offer convenient short-distance travel, but improper battery charging poses
a fire risk, especially indoors, potentially causing significant accidents, property damage …