Research on Electric Vehicle Charging Trade Strategy Based on Digital Twin and Edge Computing

As the scale of electric vehicles increases, the cloud computing trade centers will bear significant operational pressure. The edge computing technology can process charging data and identify potential fault risks of electric vehicles which can reduce the operational load of electric vehicle cloud computing centers. The digital twin model can reflect the entire life cycle process of electric vehicle physical equipment which can predict charging facilities, vehicle status and energy demand. The fuzzy neural network can be used to predict the trend of electric vehicle charging trade. The participation of electric vehicles in spot market quotations can effectively guide various trading entities to adjust their resource distribution. By the interaction between physical system and digital twin system, the charging resources can be allocated reasonably which can improve their utilization rate.