This video presents a detailed MATLAB/Simulink simulation of an Electric Vehicle (EV) Regenerative Braking System with Intelligent Torque Management. The model demonstrates how regenerative braking enhances energy efficiency, improves battery state of charge (SOC), and ensures smooth torque distribution between traction and braking modes.
The simulation includes driver braking demand, motor-generator operation, battery charging during braking, mechanical brake coordination, and torque blending strategy. This project is ideal for final-year engineering projects, master’s research, and PhD-level simulation studies in electric mobility and power electronics.
📞 Contact for MATLAB / Simulink EV Projects
🌐 Website: www.matlabprojectscode.com
📧 Email: matlabprojectscode@gmail.com
📱 WhatsApp: +91 8300015425
Global support available for students and researchers in UK, USA, Australia, UAE & Europe.
🔧 Key Features of the Simulation
✅ EV longitudinal dynamics
✅ Regenerative + mechanical braking coordination
✅ Torque management during acceleration & braking
✅ Battery SOC improvement analysis
✅ MATLAB/Simulink block-level modeling
✅ Performance plots: speed, torque, braking power, SOC
🎓 Who Should Watch This?
Electrical & Mechanical Engineering Students
EV & Hybrid Vehicle Researchers
Power Electronics & Control Engineers
MATLAB / Simulink Learners
Renewable & Sustainable Energy Enthusiasts
🚀 Applications
Electric Vehicles (BEV, HEV)
EV Energy Management Systems
Automotive Control Systems
Smart Transportation Research
📌 If you are looking for complete MATLAB/Simulink EV models, project guidance, or research-level support, feel free to explore our resources.
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Two-Area Load Frequency Control (LFC) using Grey Wolf Fuzzy-PID Controller | MATLAB Simulink Simulation This video presents the modeling and simulation of a Two-Area Power System Load Frequency Control (LFC) using an intelligent hybrid controller — the Grey Wolf Optimization (GWO) tuned Fuzzy-PID Controller implemented in MATLAB/Simulink. The proposed controller improves dynamic performance, frequency stability, and tie-line power oscillation damping compared to conventional PID and Fuzzy controllers. 👨💻 Project Support 🌐 www.matlabprojectscode.com 📧 matlabprojectscode@gmail.com 📱 WhatsApp: +91 8300015425 🔍 Topics Covered Modeling of two-area interconnected thermal power system Governor, turbine, and tie-line power flow representation Fuzzy logic controller for adaptive gain tuning Grey Wolf Optimization (GWO) algorithm for optimal PID parameter selection Simulation of load disturbances and system response Comparison of PID, Fuzzy-PID, and GWO-Fuzzy-PID controllers Performa...
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