Electric vehicle charging station site selection method based on time reliability

Abstract

The invention provides an electric vehicle charging station site selection method based on time reliability. The electric vehicle charging station site selection method comprises the following steps that A, obtaining the running state of a road section in a road network according to floating vehicle GPS track information; B, extracting a traveler charging demand point according to the floating carGPS track information; C, calculating the reachable circle of the alternative place of the charging station within a certain period of time; and D, calculating to obtain a charging station configuration scheme covering the demand point. According to the method, the electric vehicle charging station site selection method based on time reliability is constructed by using actual operation data of aroad network, and a decision maker can visually analyze the coverage area of the constructed charging station, so that a reasonable site selection combination is selected; according to the method, a site selection place which is good in road condition and can reach a relatively large circle can be excavated, so that negative effects such as traffic jam caused by improper site selection of the charging station are reduced or avoided while the service level of the charging station is improved; the method has the advantages of effectiveness, systematicness, wide application and the like.

Description

technical field [0001] The invention proposes a method for selecting a location for an electric vehicle charging station based on time reliability, which relates to a method for selecting a location for an electric vehicle charging station based on time reliability, and belongs to the field of operations research and reliability technology. Background technique [0002] In recent years, the living standards of Chinese residents have been continuously improved, the number of private cars owned by urban residents has gradually increased, and the emphasis on environmental issues has gradually increased. Among urban environmental pollution, air pollution is particularly harmful to residents. Long-term inhalation of harmful gases such as sulfur dioxide and carbon monoxide produced by the combustion of large amounts of fossil fuels, as well as dust and inhalable particulate matter produced by incomplete combustion can lead to diseases such as chronic bronchitis, bronchial asthma a...

AI Technical Summary

Problems solved by technology

[0005] 1. Different areas and different road sections in the city have different road driving conditions, and the time required for the same driving distance is quite different. Therefore, the detour distance cannot directly reflect the inconvenience of users reaching the charging station and the energy consumed in the process. electricity

[0006] 2. The minimization of the overall detour distance cannot ensure that all users (demand points) are within the reasonable service range of the charging station, and in emergency situations such as the power of the electric vehicle is about to run out, if the power cannot be exhausted before Arriving at a charging station will cause even more inconvenience

The time reliability-based site selection method for electric vehicle charging stations adopted by the present invention solves the limitations of the existing site selection methods for electric vehicle charging stations that do not consider actual road conditions and ignore the impact of charging station layout on overall traffic conditions, etc.

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