Research papers · 2023.05.08
Battery SOH estimation and anomaly detection with machine learning
State-of-Health Estimation and Anomaly Detection in Li-Ion Batteries Based on a Novel Architecture with Machine Learning
Overview
Research on battery state estimation and anomaly detection from a system-architecture perspective, providing a case study in integrating AI into battery systems.
Engineering relevance
A starting point for examining functional boundaries and anomaly handling when connecting model outputs to other system functions.