Lithium Ion Battery

Lithium-ion batteries are crucial for numerous applications, and research focuses on improving their performance, lifespan, and safety. Current efforts concentrate on developing accurate and robust methods for predicting battery state-of-health (SOH), remaining useful life (RUL), and capacity, employing machine learning models such as transformers, graph neural networks, and various recurrent neural networks, often enhanced by data augmentation and physics-informed approaches. These advancements are vital for optimizing battery management systems, enabling more efficient energy storage and utilization in electric vehicles, grid-scale energy storage, and portable electronics.