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 🔋 State of Charge (SOC) Estimation of Li-Ion Battery using Extended Kalman Filter (EKF) | MATLAB Simulink

🔗 Project support: www.matlabprojectscode.com 🔹 WhatsApp: +91 8300015425 This video presents State of Charge (SOC) estimation of a Lithium-Ion battery using the Extended Kalman Filter (EKF) in MATLAB Simulink. The model combines an equivalent circuit battery model (ECM) with an EKF observer to estimate SOC accurately under dynamic load and drive-cycle conditions. You’ll see how EKF uses measured terminal voltage and current to correct SOC in real time, improving estimation compared to simple Coulomb counting—especially under noise, parameter variation, and changing operating conditions. https://www.youtube.com/watch?v=FvlnaiDIfvQ

✅ Best for EV battery management systems (BMS), energy storage, and control-oriented battery modeling projects. 🔍 Key Topics Covered Li-ion battery modeling (ECM: R0–R1C1 / RC network) OCV–SOC curve and parameter identification EKF prediction + correction steps SOC estimation under pulse load / drive cycle Error analysis and convergence performance MATLAB Simulink implementation (BMS-ready structure) 🎯 Applications EV Battery Management System (BMS) Hybrid EV / Microgrid energy storage Real-time SOC monitoring & estimation Research projects (MSc/PhD) in EV & control SOC estimation EKF, lithium ion battery SOC MATLAB, extended kalman filter SOC Simulink, EKF battery model MATLAB, battery management system MATLAB Simulink, li ion battery modeling Simulink, OCV SOC curve MATLAB, equivalent circuit model battery, EKF observer Simulink, real time SOC estimation, EV BMS simulation MATLAB, battery parameter identification MATLAB, coulomb counting vs EKF, drive cycle SOC estimation, pulse current SOC estimation, masters EV project MATLAB, MSc battery project Simulink, UK engineering students, US masters engineering, Canada EV research, energy storage SOC estimation #SOC #EKF #BatteryManagementSystem #LithiumIonBattery #MATLABSimulink #EVBattery #StateOfCharge #KalmanFilter #BatteryModeling #MastersEngineering #UKStudents #USStudents #CanadaStudents

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