🔋 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 predicti...