Solar PV Battery Powered Electric Vehicle in MATLAB
Introduction:
In this simulation, we delve into the integration of solar energy with electric vehicles, paving the way for sustainable transportation solutions. Let's dive into the intricacies of this innovative model.
System Components: The electric vehicle system comprises several key components, including a local load representing electrical appliances such as lamps or AC loads, and a BLDC (Brushless DC) motor drive responsible for driving the vehicle's transmission. Additionally, there's a Voltage Source Inverter (VSI) and a closed-loop speed control system.
Solar Integration: Solar power is harnessed through a 2000 Watt PV (Photovoltaic) panel, which is designed to generate electricity from sunlight. The PV panel's output is connected to a common DC bus, ensuring seamless integration with the vehicle's electrical system.
MPPT Algorithm: To optimize power extraction from the PV panel, a Maximum Power Point Tracking (MPPT) algorithm is employed. This algorithm continuously adjusts the operation of the boost converter based on variations in solar irradiation and temperature, ensuring maximum power output from the PV panel.
Battery Storage: A battery energy storage system is integrated into the vehicle, connected to the DC bus via a bidirectional converter. This allows excess solar power to be stored in the battery for later use or to supply power to the vehicle when needed, ensuring optimal energy management.
Control Systems: The operation of the BLDC motor drive and the power flow within the vehicle system are controlled through sophisticated control algorithms. Closed-loop speed control ensures that the motor operates at the desired speed, while power balance between the PV panel, battery, and load is maintained through intelligent control strategies.
Simulation Results: The simulation results showcase the system's performance under varying solar irradiation conditions. Parameters such as PV power output, DC bus voltage, battery charging/discharging, and electric vehicle speed are analyzed to assess the effectiveness of the solar-powered EV system.
Drive Cycle Simulation: The simulation includes a drive cycle scenario, simulating the vehicle's speed variation over time. This allows for the assessment of the vehicle's performance under different driving conditions, including acceleration, constant speed operation, and deceleration.
Conclusion: The integration of solar power with electric vehicles holds tremendous potential for sustainable transportation. By harnessing solar energy, the dependence on traditional energy sources is reduced, leading to lower operating costs and environmental benefits. This simulation model provides valuable insights into the feasibility and effectiveness of solar-powered electric vehicles, paving the way for a greener future.