Control-Oriented Battery Management Systems for Mitigating Thermal and Performance Issues in Fast-Charging EV Batteries

Abstract

The advancement of electric vehicles (EVs) relies heavily on the efficiency, safety, and durability of lithium-ion battery systems. This study proposes A-BMS, a novel adaptive Battery Management System (BMS) architecture designed to mitigate thermal and performance issues during fast charging through a control-oriented approach. By integrating state estimation algorithms with real-time control feedback, the system continuously monitors and manages key battery parameters such as State of Charge (SoC), State of Health (SoH), and temperature. Intelligent control layers address challenges including cell imbalance, overcharging, and thermal runaway, ensuring stable operation under high charging rates. Predictive analytics and high-precision monitoring enable the system to dynamically respond to rapid changes in operating conditions, improving battery lifespan and overall reliability. The proposed framework provides a robust solution for maintaining safe and efficient battery performance under the demanding conditions of fast charging, marking a significant step toward advanced, intelligent EV energy management.