Next-Generation Battery Management System Design Methodology

Abstract

The prevalence of battery-based applications has necessitated rapid improvement in batteries and allied technologies. The Battery Management system is a critical component of the battery energy storage systems (BESS) which is needed to maintain operational safety as well as improve the reliability and Quality of Service of the system. In this work, we propose a next-generation battery management system for Li-ion batteries consisting of a battery state monitoring unit (BMU), active cell balancing, and fault localization and diagnosis methodology. The Battery monitoring unit estimates the critical battery states with high accuracy and reliability by considering the degradation of cells due to aging. The BMU is supplemented by an energy-efficient flyback converter-based Active Cell Balancing methodology. Finally, a fault diagnosis methodology is proposed using fault localization in the battery pack for identifying the cells which do not perform optimally in the system in real-time. The results have been presented for state monitoring and cell balancing system which shows improved system efficiency, greater accuracy, and reliability compared to the state-of-the-art methodologies.