An Information Fusion Charging Optimization Model

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Based on the road network model, grid load information, and vehicle scheduling information in the charging station, a vehicle-pile-road-network-source information fusion multi-in-one orderly charging model is established. Among them, due to vehicle charging information and grid load information It changes in real time and needs to submit charging requirements at every time interval and upload to the server. The information includes geographic location information, battery attribute information, and SOC information. The charging station provides the current number of vehicles, the total number of vehicles accommodated, and the number of vehicles queued at the charging station. The power supply end of the grid provides current load power and maximum load power. Calculate the optimal station location and shortest route navigation for each vehicle based on the road network information, and distribute it to each system. Its advantage is that it can allocate vehicles reasonably during peak hours and solve the problem of traffic congestion.