Electric vehicle charging scheduling method and system based on internet of things

Abstract

The invention discloses an electric vehicle charging scheduling method and system based on the Internet of Things. The scheduling system includes a perception layer, a network layer and an application layer, wherein: the perception layer includes an electric vehicle perception component and a user for obtaining preference data information of an electric vehicle. The charging station perception component is used to obtain charging station preference data information. The network layer is the IoT data center server, which is used for data transmission between the perception layer and the application layer. The application layer is used to calculate the scheduling results based on the data information collected by the perception layer and Send the scheduling result to the network layer. The present invention builds the entire system based on the three-layer model of the Internet of Things, fully utilizes the interconnection and intercommunication characteristics of the Internet, and the scheduling results generated by the Gale-Shapley algorithm used have the stability in the sense of Pareto efficiency, so as to achieve electric vehicle The best match with the charging station can dispatch electric vehicles efficiently and orderly, thereby shortening the waiting time of electric vehicles in line and rationally utilizing the charging station resources.

Description

technical field [0001] The present invention relates to the application field of the Internet of Things, and specifically refers to a charging scheduling method and system for electric vehicles based on the Internet of Things. Background technique [0002] With the development of society, oil and gas resources are becoming more and more tense, and the problem of environmental pollution is becoming more and more prominent. People pay more and more attention to electric vehicles. The charging station provides energy supply for the operation of electric vehicles, and can provide fast charging services for various types of electric vehicles at the same time. Considering the limited number of charging stations in a certain area and the long charging time of electric vehicles, the scheduling of electric vehicle charging is particularly important. [0003] At present, the Internet of Things technology is on the rise and has a broad space for development. The Internet of Things, w...

AI Technical Summary

Problems solved by technology

[0004] Electric vehicle charging scheduling is a resource scheduling problem. At present, there are generally two solutions to the problem of electric vehicle charging scheduling. One is to schedule according to the simple first-come-first-charge principle. The station problem is completely randomly selected by the car owner, and there is no scientific scheduling plan

The second is to use modern heuristic algorithms such as genetic algorithm and ant colony algorithm to solve the scheduling problem. The defects of these algorithms are mainly manifested in two aspects. Stable matching results; the second is that although the objective functions set by these algorithms for the system model can produce one or more approximate solutions under constraints, it is difficult for these approximate solutions to make the resource allocation results Pareto efficient stability, that is, the matching results produced by these algorithms are difficult to reach the optimal state of resource allocation

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