i-manager Publications

Wireless Charging Stations Utilizing Solar Energy for Electric Vehicles

N. Swathi*, Ajay Kumar Dharmireddy**

*-** Department of Electronics and Communication Engineering, Sir C. R. Reddy College of Engineering, Eluru, Andhra Pradesh, India.

Periodicity:July - September'2024
DOI : https://doi.org/10.26634/jps.12.2.21613

Abstract

The emergence of electric vehicles (EVs) signifies a transformative potential for the future of transportation on a global scale. The transition from fuel-dependent transportation to electric-powered systems marks a significant breakthrough in energy efficiency, conservation, and the facilitation of smooth energy transitions. This initiative also aims to reduce harmful emissions that have significant environmental impacts, including influencing weather patterns and contributing to global warming. Advancements in technology have led numerous companies to manufacture electric vehicles (EVs). However, charging remains a significant challenge for EVs. Various methods have been proposed to address this concern, with one conventional approach being the charging of vehicles at designated stations. However, this method is limited by the time required for charging and the restricted travel distances. As a result, wireless charging has been proposed as an alternative solution. Several factors influence the efficacy of wireless charging, with various techniques developed that rely on electromagnetic induction or inductive power transfer. Although passive wireless charging has been implemented, challenges related to the placement of charging pads and stations continue to arise. The parameters influencing these charging methods and the positioning of charging infrastructure are critical to the system’s success. This system operates through affordable inductive coupling between two coils, known as the transmitter and receiver coils. In the context of EV charging, transmitter coils are typically embedded in the roadway, while receiver coils are installed within the vehicle.

Keywords

Transformer, Solar Panel, Wireless Charging, Parking Slot, Electric Vehicle.

How to Cite this Article?

Swathi, N., & Dharmireddy, A. K. (2024). Wireless Charging Stations Utilizing Solar Energy for Electric Vehicles. i-manager’s Journal on Power Systems Engineering, 12(2), 37-43. https://doi.org/10.26634/jps.12.2.21613

References

[1]. Abdolmaleki, M., Masoud, N., & Yin, Y. (2019). Vehicle-to-vehicle wireless power transfer: Paving the way toward an electrified transportation system. Transportation Research Part C: Emerging Technologies, 103, 261-280.

[2]. Barman, S. D., Reza, A. W., Kumar, N., Karim, M. E., & Munir, A. B. (2015). Wireless powering by magnetic resonant coupling: Recent trends in wireless power transfer system and its applications. Renewable and Sustainable Energy Reviews, 51, 1525-1552.

[3]. Chakradhar, A., Dharmireddy, A., Sudhkar, H., Lavanyai, K., Krishna, M. V., Madhava Rao, C. H., & Hareesh, P. (2024, June). Arduino based GPS tracking alert system for women’s protection. In All Conference Proceedings, 2971(1).

[4]. Chhawchharia, S., Sahoo, S. K., Balamurugan, M., Sukchai, S., & Yanine, F. (2018). Investigation of wireless power transfer applications with a focus on renewable energy. Renewable and Sustainable Energy Reviews, 91, 888-902.

[5]. Clemente, C., & Soraghan, J. J. (2012). Range doppler and chirp scaling processing of synthetic aperture radar data using the fractional fourier transform. IET Signal Processing, 6(5), 503-510.

[6]. Dharmireddy, A. K., & Suneetha, N. (2023). A blockchain based cyber thread detection system for IIoT networks. I-manager’s Journal on IoT and Smart Automation, 1(2), 16.

[7]. Dharmireddy, A. K., Larraine, K. J. S., Maddumala, R. K., & Lavanya, K. (2024a). Pesticide prediction and disease identification with AIoT. In The Future of Agriculture: IoT, AI and Blockchain Technology for Sustainable Farming (pp. 62-85).

[8]. Dharmireddy, A. K., Ravikumar, M., & Kumar, B. V. (2024b). Identifying chronic kidney failure through machine learning. I-manager’s Journal on IoT and Smart Automation, 2(1), 1.

[9]. Dharmireddy, A. K., Srinivasulu, P., Greeshma, M., & Shashidhar, K. (2024c). Soft sensor-based remote monitoring system for industrial environments. In Blockchain Technology for IoT and Wireless Communications (pp. 103-112).

[10]. Dharmireddy, A., & Gotlipalli, M. D. (2023). Social networking sites fake profiles detection using machine learning techniques. Asian Journal for Convergence in Technology (AJCT), 9(3), 09-15.

[11]. Dharmireddy, A., Chakradhar, A., Akram, S. V., Deepak, R. S., Akash, S., Rajasekhar, T., & Anatha, T. (2024d, June). Dermatological disease detection and preventative measures using deep convolution neural networks. In AIP Conference Proceedings, 2971(1).

[12]. Elfourni, F. M., Becherif, M., Djerdit, A., & Ramadan, H. S. (2021). The key issues of electric vehicle charging via hybrid power sources: Techno-economic viability, analysis, and recommendations. Renewable and Sustainable Energy Reviews, 138, 110534.

[13]. Kumar, M., Narayana, K., & Dharmireddy, D. (2024). High performance approximate multiplier using reversible logic gates. Asian Journal for Convergence in Technology (AJCT), 10(3), 1-5.

[14]. Kurs, A., Karalis, A., Moffatt, R., Joannopoulos, J. D., Fisher, P., & Soljacic, M. (2007). Wireless power transfer via strongly coupled magnetic resonances. Science, 317(5834), 83-86.

[15]. Prithvi, J. M., & Dharmireddy, A. K. (2013). Multitrack simulator implementation in FPGA for ESM system. International Journal of Electronics Signals and Systems, (pp. 81-84).

[16]. Shashidhar, K., Dharmireddy, A. K., & Rao, C. M. (2024). Anti-theft fingerprint security system for motor vehicles. In Blockchain Technology for IoT and Wireless Communications (pp. 89-101).

[17]. Swathi, V., Dharmireddy, A. K., Kumar, M. R., Kumar, B. V., & Prasad, P. S. (2024). Suggestion of tablets with machine learning and IoT for women. I-manager’s Journal on IoT and Smart Automation, 2(2), 13.

[18]. Tuchnitz, F., Ebell, N., Schlund, J., & Pruckner, M. (2021). Development and evaluation of a smart charging strategy for an electric vehicle fleet based on reinforcement learning. Applied Energy, 285, 116382.

[19]. Vallera, A. M., Nunes, P. M., & Brito, M. C. (2021). Why we need battery swapping technology. Energy Policy, 157, 112481.

[20]. Vildthgamuwa, D. M., & Sampath, J. P. K. (2015). Wireless power transfer (WPT) for electric vehicles (EVS)-Present and future trends. Plug In Electric Vehicles in Smart Grids: Integration Techniques, 33-60.

[21]. Zhang, X., Yuan, Z., Yang, Q., Li, Y., Zhu, J., & Li, Y. (2016). Coil design and efficiency analysis for dynamic wireless charging system for electric vehicles. IEEE Transactions on Magnetics, 52(7), 1-4.

	North Americas,UK, Middle East,Europe		India	Rest of world
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Online	15	15	200	15
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Wireless Charging Stations Utilizing Solar Energy for Electric Vehicles

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