Advanced parking assistance system for solar electric vehicles using 360° virtual reality imaging and real-time solar radiation forecasting

As solar electric vehicles spend a significant amount of time parked during daylight hours, choosing the right parking spot becomes crucial for maximizing solar power generation. In response to this need, this study presents an innovative solution to help drivers select the optimal parking space for solar electric vehicles. A system was developed that utilizes a cost-effective 360° VR camera mounted on a vehicle's roof to capture sky images in outdoor parking spaces. The captured images are analyzed using a smartphone to assess potential shading obstructions. The system also uses real-time solar radiation forecasts and vehicle solar power generation data to predict charging potential during parking. The system was tested in an outdoor parking lot at the Daeyeon Campus of Pukyong National University. The system's accuracy was verified through comparisons with solar access analyzed using Solmatric Suneye 210, as well as through power measurement trials conducted on solar panels installed on the vehicle. The proposed system analyzes solar access in real time and predicts power generation, allowing drivers to select the optimal parking space for maximizing solar power generation. Our system ensures optimal solar access by considering both direct and diffuse solar radiation.