State-of-the-Art Research on Wireless Charging of Electric Vehicles Using Solar Energy

Within the past decade, since impediments in nonrenewable fuel sources and the contamination they cause, utilizing green energies, such as those that are sun-oriented, in tandem with electric vehicles, is a developing slant. Coordinating electric vehicle (EV) charging stations with sun-powered boards (PV) reduces the burden of EV charging on the control framework. This paper presents a state-of-the-art literature review on remote control transmission frameworks for charging the batteries of electric vehicles utilizing sun-based boards as a source of power generation. The goal of this research is to advance knowledge in the wireless power transfer (WPT) framework and explore more about solar-powered electric vehicle charging stations. To do this, a variety of solar-powered electric vehicle charging station types are thoroughly studied. Following a study of many framework elements, the types of WPT components are explored in a different section. Within the wireless power transmission framework for solar-powered electric vehicle charging, compensators and various coil structures are also investigated, along with the advantages of each coil over the others. This study also discusses the use of artificial intelligence (AI) in WPT frameworks and highlights the important aspects of developing an AI model.

Automated summary

In the past decade, there has been a growing trend towards utilizing green energies, such as solar power, in combination with electric vehicles to address the issues of nonrenewable fuel sources and pollution. This research focuses on wireless power transfer systems for charging electric vehicle batteries using solar panels as a power source. The study explores different types of solar-powered electric vehicle charging stations and investigates various components and coil structures within the wireless power transmission framework. Additionally, the use of artificial intelligence in the wireless power transfer systems is discussed, emphasizing the importance of developing AI models.