Lithium-ion batteries (LIBs) are crucial for the large-scale utilization of clean energy.
However, because of the complexity and real-time nature of internal reactions, the …

The rapid development of lithium-ion battery (LIB) technology promotes its wide application
in electric vehicle (EV), aerospace, and mobile electronic equipment. During application …

Precise battery SOH (state of health) prediction and monitoring are of extreme importance
for the future intelligent battery management system (BMS). In this paper, battery discharge …

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 …

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 …

State of health (SOH) is a crucial challenge to guarantee the reliability and safety of the
electric vehicles (EVs), due to the complex aging mechanism. A novel SOH estimation …

Accurately monitoring battery states over battery life plays a central role in building
intelligent battery management systems. This study proposes a flexible method using only …

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 …

Predicting the evolution of multiphysics battery systems face severe challenges, including
various aging mechanisms, cell-to-cell variation and dynamic operating conditions. Despite …

Accurate prediction of battery lifetime is critical for ensuring timely maintenance and safety of
batteries. Although data-driven methods have made significant progress, their model …