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 …

Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …

Lithium-ion batteries can last many years but sometimes exhibit rapid, nonlinear
degradation that severely limits battery lifetime. In this work, we review prior work on" knees" …

In-situ battery life prediction and classification can advance lithium-ion battery prognostics
and health management. A novel physical features-driven moving-window battery life …

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

Accurate forecasting of lithium-ion battery performance is essential for easing consumer
concerns about the safety and reliability of electric vehicles. Most research on battery health …

Unsorted retired batteries with varied cathode materials hinder the adoption of direct
recycling due to their cathode-specific nature. The surge in retired batteries necessitates …

Abstract Machine learning-based methods have emerged as a promising solution to
accurate battery capacity estimation for battery management systems. However, they are …

The large-scale application of lithium-ion batteries makes it urgent to accurately predict their
capacity degradation so as to achieve timely maintenance and second-life utilization. For on …

With the advent of sustainable and clean energy transitions, lithium-ion batteries have
become one of the most important energy storage sources for many applications. Battery …