This document explores the evolution of battery management systems (BMS) through the integration of cloudbased analytics. It details the system architecture for data acquisition, storage, and processing, emphasizing the role of cloud computing in enabling sophisticated algorithms for battery state estimation and safety diagnostics. The study focuses on improvements in state of charge (SOC) and state of health (SOH) predictions, as well as the implementation of advanced thermal anomaly detection within the BMS framework. Challenges and solutions related to data processing, algorithm deployment, and system scalability are specifically addressed from a battery management perspective.
A. E. Baer (Fri,) studied this question.