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MATLAB Simulation of Fuel Cell Battery Driven Electric Vehicle

MATLAB Simulation of Fuel Cell Battery Driven Electric Vehicle


The integration of fuel cell technology with battery-driven electric vehicles offers a promising solution for sustainable transportation. MATLAB provides a powerful platform for modeling and simulating such complex systems, allowing us to analyze their performance under various conditions.


Simulation Model Overview:

The simulation model comprises a fuel cell, a battery, a boost converter, and an electric vehicle system. Here's a breakdown of the key components:

  1. Fuel Cell: A 24-volt fuel cell with a rating of 1.26 kilowatts is employed as the primary power source for the electric vehicle.

  2. Battery: A 48-volt battery with a capacity of 200 ampere-hours serves as a supplementary power source and energy storage device.

  3. Boost Converter: The boost converter is utilized to regulate the voltage output from the fuel cell and maintain it at a suitable level for charging the battery and driving the electric vehicle.

  4. MPPT Algorithm: An MPPT (Maximum Power Point Tracking) algorithm is implemented to optimize the power output from the fuel cell and ensure maximum energy extraction under varying operating conditions.

  5. Electric Vehicle System: The electric vehicle system includes an AC motor, a voltage source converter (inverter), and various sensors for monitoring system parameters.

Simulation Parameters and Control Logic:

  • The fuel cell's operating parameters, such as voltage and current, are monitored and used to control the boost converter's operation.

  • An MPPT algorithm adjusts the duty cycle of the boost converter to extract maximum power from the fuel cell.

  • The battery's state of charge (SoC) is monitored, and its charging and discharging modes are controlled based on the power demand and available energy from the fuel cell.

  • The electric vehicle's motor speed, torque, and current are regulated to maintain optimal performance during acceleration, deceleration, and steady-state operation.

Simulation Results:

The simulation results demonstrate the dynamic behavior of the fuel cell battery-driven electric vehicle under different scenarios, such as changes in fuel cell pressure and power demand. Key observations include:

  • The fuel cell's power output varies based on the pressure and operating conditions.

  • The battery serves as a backup power source, supplementing the fuel cell's output during periods of high demand or low fuel cell pressure.

  • The electric vehicle's performance parameters, including motor speed, torque, and battery SoC, are maintained within desired limits throughout the simulation.

Conclusion:

Modeling and simulating a fuel cell battery-driven electric vehicle in MATLAB provide valuable insights into its performance characteristics and system behavior under real-world conditions. By optimizing control strategies and component sizing, engineers can design efficient and reliable electric propulsion systems for sustainable transportation.

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