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This document presents research on a battery state of charge (SOC) estimation algorithm using an equivalent circuit model, specifically the extended Kalman filter (EKF) based on a first-order RC model. The study emphasizes the importance of accurate SOC estimation for battery management systems (BMS) and compares various SOC estimation methods, highlighting the advantages of the proposed EKF approach. The results from simulations and experiments validate the effectiveness of the algorithm in improving SOC e

Author

jx.kang

Language

EN