In the context of Peak Emission & Carbon Neutrality, focus on carbon dioxide emissions of BEV, make use of All-Round-STN (Traffic flow prediction network) and vehicle energy consumption model, predicted road state on predicted traffic flow rate, improve ACO as E-ACO, set energy consumption as the selection strategy, dynamic programming the path with the least energy consumption. Focus on range anxiety, combining shared road data and charging station data, build charging path selection algorithm. The development system provides optimal charging planning and intelligent travel service, which is based on the date of current power, the estimated energy consumption, the charging station layout, and the future road flow. Measuring emission reduction benefits based on public data, for carbon trading reference.
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