Battery System

Battery system research intensely focuses on improving performance, safety, and lifespan, primarily through advanced materials discovery and sophisticated health monitoring. Current efforts leverage machine learning, particularly deep learning architectures like convolutional neural networks (CNNs) and transformers, along with Gaussian processes, to accelerate material screening, predict battery degradation, and enable real-time diagnostics from diverse sensor data. These advancements are crucial for optimizing battery management systems, enhancing electric vehicle performance, and facilitating the broader adoption of energy storage technologies.