Charging station planning method and system considering charging demand of electric vehicle

Abstract

The invention relates to a charging station planning method and system considering the charging demand of an electric vehicle. According to the method, travel and charging behavior characteristics are analyzed based on real data of non-operating vehicles, attraction of specific charging places to non-operating vehicle users is fully considered, more practical charging demand space-time distribution prediction is carried out, a non-operating vehicle charging demand space-time model is established, an operating vehicle charging demand space-time distribution prediction model is established by using track data of an operating vehicle, the two models are further fused, and a charging demand prediction result output by the fused model is applied to a charging station planning construction scheme. The charging demand space-time distribution of different types of vehicles is considered, normal and efficient operation of an urban electric vehicle system is ensured, and the practicability and the application range of charging station planning are improved.

Description

technical field [0001] The invention relates to the technical field of charging station planning, in particular to a charging station planning method and system considering the charging demand of electric vehicles. Background technique [0002] With the increasing pressure of energy shortage and environmental pollution, the electric vehicle industry has been valued and developed vigorously. The development of electric vehicles is an important measure for my country to deal with the energy crisis, and it is also an effective way to achieve carbon peaking. Since 2015, the production, sales and ownership of electric vehicles in my country has ranked first in the world for five consecutive years. By 2025, the sales of new energy vehicles will reach 20% of the total sales of vehicles. It is estimated that by 2035, the number of new energy vehicles in China will exceed 160 million, of which more than 90% are pure electric vehicles, and all public vehicles will be electrified. Ther...

AI Technical Summary

Problems solved by technology

[0004] Existing research uses data mining technology to process the travel trajectory data and operation data of taxis and online car-hailing vehicles, mine the travel rules of urban residents, and apply the travel trajectory data to charging stations for taxis, online car-hailing vehicles, and other operational vehicles. planning, so as to optimize the design of the construction capacity of the charging station based on the planning results, but the above research is only for the planning and design of the charging station for operating vehicles, and does not analyze non-operating vehicles such as private cars, so that the charging station capacity Planning Results Are Not Applicable

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