Large Models for Battery Prognostics: Review and Roadmap

Summary

This review examines Transformer-based large models and self-supervised learning for battery prognostics and health management. It covers data scarcity, cross-domain generalization, interpretability, robustness, automation, and the challenges of trustworthy industrial and on-device deployment.