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 …

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 …

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 …

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 …

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 …

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 …

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 ubiquitous in applications ranging from portable electronics to
electric vehicles. Irrespective of the application, reliable real-time estimation of battery state …

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 …

Forecasting the state of health and remaining useful life of Li-ion batteries is an unsolved
challenge that limits technologies such as consumer electronics and electric vehicles. Here …