Deriving the optimized battery model for battery pack and anomaly detection based on the cloud battery management system

The battery pack may reduce an available capacity due to each individual cell imbalance and cause safety problems of the battery pack itself, so it is necessary to design a battery management system with an accurate battery model in consideration of the imbalance. In this paper, the battery pack single model design method is expanded to each individual cell model design method, and the cloud battery management system is applied instead of the existing embedded battery management system. Also, the estimated voltage of the battery model was used to verify the performance of estimating the battery model of each cell, and the optimization method was proposed to update the noise parameter of extended Kalman filter (EKF). In addition, the abnormal behavior was analyzed based on the variance for dominance of noise parameter in the proposed method using the cloud battery management system, and the feasibility of using it as an index to understand the voltage deviation was explained.