Electric vehicle charging guiding and pricing method based on dynamic road-electricity coupling network

Abstract

The invention discloses an electric vehicle charging guiding and pricing method based on a dynamic road-electricity coupling network. The method comprises the steps of building an interaction framework of traffic flow energy flow information flow of an electric vehicle in the dynamic road-electricity coupling network; dynamically updating the traffic network information, and establishing a singleelectric vehicle model for simulating a continuous driving charging state switching behavior of the electric vehicle; carrying out dynamic navigation and dynamic station selection on the electric vehicle according to the dynamic information of the coupling network; performing virtual load prediction according to the in-station virtual load and the out-station decision load; and pricing the electric vehicle charging in real time according to the load balance distribution and the predicted virtual load. According to the electric vehicle charging guidance and pricing strategy based on the dynamicroad-electricity coupling network, the distribution of the charging load in the space dimension is balanced, the congestion rate inside the charging station is reduced, the average income of electrictaxi drivers is increased, and meanwhile, the congestion phenomenon of a traffic network is relieved to a certain extent.

Description

technical field [0001] The invention relates to dynamic navigation of electric vehicles, station selection decision-making and formulation of pricing strategies for charging stations, in particular to a charging guidance and pricing method for electric vehicles based on a dynamic road-electric coupling network. Background technique [0002] With the increasing popularity and penetration of electric vehicles at the city level, and the development of charging facilities lagging behind electric vehicles, a new interaction between urban power grids and transportation networks will occur, traffic flow and energy flow The distribution of all will affect the operation status of the urban power grid and traffic network. The rise of communication and intelligent sensing technology couples multiple types of networks together, and realizes the redistribution of traffic flow and energy flow by affecting the user's driving and charging decision-making behavior, providing a new idea for i...

AI Technical Summary

Problems solved by technology

However, the information update speed of the existing coupling network is slow, and the influence of information flow on traffic flow and energy flow is poor, and it is difficult to achieve the desired effect.

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