Battery Hysteresis SOC Estimation Using Extended Kalman Filter (EKF) | MATLAB Code
Автор: Electrical Assignment Expert
Загружено: 2026-02-11
Просмотров: 3
Описание:
This video explains Battery State of Charge (SOC) estimation with hysteresis using the Extended Kalman Filter (EKF) implemented in MATLAB.
The model considers battery nonlinearities, hysteresis effects, and dynamic behavior for accurate SOC estimation in EVs, energy storage systems, and BMS applications.
🔹 Key Highlights:
Battery hysteresis modeling
EKF-based SOC estimation
MATLAB algorithm & code explanation
Improved SOC accuracy under charge/discharge cycles
📌 Applications: Battery Management System (BMS), Electric Vehicles, Hybrid Energy Storage
📌 Tools Used: MATLAB
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