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What is Hybrid SOC Estimation for Lithium-Ion Batteries about?

This paper presents a hybrid method for estimating the state of charge (SOC) of lithium-ion batteries using a Long Short-Term Memory (LSTM) network combined with an attention mechanism and a Kalman filter. The proposed method demonstrates high reliability and accuracy in SOC estimation across various driving conditions, achieving lower root mean square errors compared to traditional methods. The study emphasizes the importance of accurate SOC estimation for battery management systems in electric vehicles, p

Author

al.aliefzainii

Language

EN