Electric vehicle charging scheduling method of ANP bilateral benefit fuzzy evaluation model based on time quantization

Abstract

The invention discloses an electric vehicle charging scheduling method of an ANP bilateral benefit fuzzy evaluation model based on time quantification. The method comprises the following steps: counting road real-time working condition information, user vehicle residual electric quantity and charging station operation information of a region; counting the real-time queuing condition of each charging station, and determining the predicted waiting time after the vehicle arrives; calculating traffic flow, node loss and road section loss of surrounding roads; detecting whether a user has a charging demand; and executing different charging schemes in combination with the operation conditions of the surrounding charging stations at the moment. According to the method, real-time road network information, charging station state information and electricity price information are comprehensively considered, on the basis of constructing a charging scheme evaluation system based on bilateral benefit balance, an ANP bilateral benefit fuzzy evaluation model based on time quantization is further constructed, the subjectivity problem existing when a traditional ANP model is used for solving the problem is solved, and the optimal selection of the charging path of the electric vehicle under different working conditions can be realized.

Description

technical field [0001] The invention belongs to the field of electric vehicle charging scheduling, and in particular relates to an electric vehicle charging scheduling method based on a time-quantified ANP bilateral benefit fuzzy evaluation model. Background technique [0002] In the case of global energy shortages, new energy vehicles will gradually replace traditional vehicles and become the mainstream due to their advantages of no pollution, energy saving, and low noise. However, as the number of electric vehicles continues to increase, the problems of orderly charging and optimal scheduling have gradually become prominent. If the charging behavior of electric vehicles cannot be guided in an orderly manner, it will cause a large waste of resources, and even cause traffic jams, frequency oscillations, etc. question. With the development of electric vehicle charging scheduling system, electric vehicle users can use smart mobile devices to upload real-time vehicle status, s...

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Problems solved by technology

[0003] The existing electric vehicle charging scheduling method is not very comprehensive in consideration of real-time road conditions and time costs, and does not comprehensively consider the interests of both charging stations and users. There are at least two deficiencies in the following aspects: 1. The existing technology considers road driving loss, but a reasonable road network vehicle flow model has not been established, and the node loss caused by traffic lights and other reasons has not been considered; 2. The existing technology does not fully consider the charging guidance scheme for the interests of both charging stations and users

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