AI-Powered Wireless Charging Systems in Homes in an Energy Community

Electric vehicle charging is becoming a crucial element for the success of electric and sustainable mobility. In addition to charging stations, the possibility of using wireless charging for electric vehicles is emerging as an innovative technology that could revolutionize the industry. In fact, the global Wireless EV market is expected to grow from ${\$}$0.08 billion by the end of 2024 to ${\$}$3.1 billion by 2033.Therefore, wireless charging could play a key role in improving the adoption of electric vehicles, making the user experience more seamless and attractive for consumers. Furthermore, in residential applications, “vehicle-to-grid” technology, given the bidirectionality of energy, could contribute to the smooth functioning of the electricity grid and the optimization of renewable energy production in Renewable Energy Communities. However, the high cost of wireless charging technology is a major obstacle to the wireless EV charging market, requiring sophisticated control systems such as the Charging Infrastructure Controller. This, through Chain 2, enables bidirectional management of charging over a longer timeframe, while simultaneously offering a certain level of flexibility to meet the potential needs of the energy grid and end users.Traditional Wireless Power Transfer technology relies on electromagnetic fields that transfer energy between two coils, but efficiency drops when load conditions change. In many systems, the design depends on theoretical calculations based on ideal conditions, but in practice, variations in components and the environment introduce instability and losses. AI will be of great assistance in this regard, and this paper aims to provide a state-of-the-art assessment of Wireless Power Transfer, supported by AI within Renewable Energy Communities.