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 the rapid development of electric vehicles, the disposal of retired lithium batteries is a
grand challenge for the waste management based on reliability, efficiency and sustainability …

This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

The safety issue of the lithium-ion batteries is the key to their application and development.
The management of lithium-ion batteries has been a hot topic of research for many years …

The pressure of energy crisis and environmental protection has fueled the rapid
development of electric vehicles. The lithium-ion batteries are widely used in electric …

With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in 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 …

Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …

Lithium-ion batteries decay every time as it is used. Aging-induced degradation is unlikely to
be eliminated. The aging mechanisms of lithium-ion batteries are manifold and complicated …

Accurate estimation of state of charge (SOC) constitutes the basis to enable the reliable
operations of lithium-ion batteries. The recent development in deep learning provides an …