Wireless Power Transfer for Electric Vehicles: A Review and Future Directions
Keywords:
Arduino, solar energy, sun tracking, optimization, renewable energyAbstract
This project presents a low-cost, Arduino-based system for optimizing solar energy generation. The system utilizes a solar panel, a light-dependent resistor (LDR), and a servo motor to track the sun's movement and maximize energy harvesting. The Arduino microcontroller reads data from the LDR and controls the servo motor to adjust the solar panel's angle and orientation. The system's performance is evaluated based on its ability to track the sun's movement and generate maximum power. Experimental results show that the system can increase solar energy generation by up to 30% compared to a fixed solar panel. The proposed system offers a cost-effective and efficient solution for optimizing solar energy generation, making it suitable for various applications, including renewable energy systems and environmental monitoring.
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References
International Energy Agency, "Global EV Outlook 2020," Paris, France, 2020.
J. Dai and D. C. Ludois, "A survey of wireless power transfer and a critical comparison of inductive and capacitive coupling in application," IEEE Transactions on Power Electronics, vol. 30, no. 11, pp. 6012-6027, Nov. 2015.
S. Li and C. C. Mi, "Wireless power transfer for electric vehicles: A review," IEEE Transactions on Vehicular Technology, vol. 66, no. 9, pp. 7523-7535, Sep. 2017.
J. Kim et al., "Design and implementation of a wireless power transfer system for electric vehicles using a resonant coil and a capacitive compensation circuit," IEEE Transactions on Power Electronics, vol. 32, no. 11, pp. 8172-8183, Nov. 2017.
Y. Zhang et al., "Efficiency analysis of a wireless power transfer system for electric vehicles using a series-parallel resonant coil," IEEE Transactions on Vehicular Technology, vol. 67, no. 10, pp. 8934-8943, Oct. 2018.
S. Li et al., "Dynamic wireless power transfer for electric vehicles using a moving coil and a stationary coil," IEEE Transactions on Transportation Electrification, vol. 5, no. 1, pp. 154-163, Mar. 2019.
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