EV Vehicle Simulations In MATLAB
Control Systems Course Project
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This project uses MATLAB to simulate and analyze the performance of a two-wheeled electric vehicle under various driving conditions, exploring dynamic parameters such as speed, energy consumption, and regenerative braking efficiency.
Goals and Objectives ⯆
Goals and Objectives ⯆
Develop a MATLAB-based simulation model for a two-wheeled electric vehicle.
Test vehicle performance across different driving cycles, including acceleration and deceleration.
Validate the model using real-world data to ensure accuracy.
Explore energy efficiency, especially through regenerative braking.
Key Achievements ⯆
Key Achievements ⯆
Developed a simulation model that closely matches real-world scenarios.
Demonstrated effective regenerative braking to recover energy during deceleration.
Analyzed speed and battery SOC (State of Charge) dynamics for multiple drive cycles.
Highlighted discrepancies in deceleration due to vehicle mass, informing future optimization.
Results
Results
Speed Characteristics: Reference and feedback speeds showed near-perfect overlap, with minor deviations during deceleration.
Energy Analysis: Regenerative braking increased battery SOC during deceleration phases.
Distance Coverage: Accurate calculation of distance traveled under varying conditions.
Key Skills Highlighted ⯆
Key Skills Highlighted ⯆
Proficiency in MATLAB and Simulink for modeling and simulation.
Strong understanding of electric vehicle dynamics and control systems.
Application of engineering principles to optimize energy efficiency.
Analytical skills in interpreting simulation data and validating models.
Applications and Future Scope ⯆
Applications and Future Scope ⯆
Potential use in designing lightweight and energy-efficient urban electric vehicles.
Scope for integrating advanced control strategies and real-time applications.
Future enhancements could include incorporation of slip dynamics and variable road conditions.
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