Expressway electric vehicle emergency rescue station site selection constant volume method and system

A technology for electric vehicles and highways, which is applied in the field of site selection and volume determination of electric vehicle emergency rescue stations on highways, can solve the problems of lack of user rescue waiting time and rescue costs, and achieve good economic results.

Active Publication Date: 2019-09-10
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing technology proposes a site selection model for emergency rescue stations that minimizes construction costs, and obtains a site selection scheme for rescue stations with minimum investment costs, but the model lacks the consideration of user rescue waiting time costs and rescue costs

Method used

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  • Expressway electric vehicle emergency rescue station site selection constant volume method and system
  • Expressway electric vehicle emergency rescue station site selection constant volume method and system
  • Expressway electric vehicle emergency rescue station site selection constant volume method and system

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Experimental program
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Embodiment 1

[0042] 1 Problem description

[0043] 1.1 Demand Analysis of Rescue Stations

[0044] At present, a fast-charging network with highways as the backbone network is rapidly forming, which is expected to solve the long-distance travel problem of electric vehicles. However, if an electric vehicle cannot reach the fast charging station on the expressway due to a failure of the fast charging station or insufficient power, it will cause traffic jams and rear-end collisions. Therefore, emergency rescue of electric vehicles is an urgent problem to be solved. important question. There are many reasons why electric vehicles cannot be charged, and they can be roughly classified into fast charging station failures, electric vehicle failures, electric vehicle power shortages, etc. The detailed fishbone diagram is as follows: figure 1 shown.

[0045] Among the above factors, the probability of fast charging station failure and electric vehicle failure is relatively small, and the probabil...

Embodiment 2

[0180] The site selection and capacity setting system for expressway electric vehicle emergency rescue stations disclosed in one or more embodiments includes a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, When the processor executes the program, the method for selecting the location and capacity of the expressway electric vehicle emergency rescue station in the first embodiment is realized.

Embodiment 3

[0182] A computer-readable storage medium disclosed in one or more implementations, on which a computer program is stored, is characterized in that, when the program is executed by a processor, the selection of the expressway electric vehicle emergency rescue station in the first embodiment is performed. Addressing method.

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Abstract

The invention discloses an expressway electric vehicle emergency rescue station site selection constant volume method and system. The goal of minimizing the social yearly cost is achieved; on the premise that the rescue timeliness requirement is guaranteed, benefits of a station builder and an electric vehicle user are considered, the number and positions of rescue stations and the number of rescue vehicles in the station are decided by comprehensively considering influence factors such as the failure rate of the fast charging station, the vehicle flow, the electricity price and the station building cost, and the built model is solved by adopting a self-adaptive genetic algorithm. Taking the Shandong expressway fast charging service network as an example, the article verifies the effectiveness of the method.

Description

technical field [0001] The invention relates to a method and system for site selection and capacity determination of expressway electric vehicle emergency rescue stations. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] In response to government planning, the State Grid Corporation of China has built more than 1,200 expressway fast charging stations in more than 20 provinces and municipalities directly under the Central Government. Although the basic charging facilities of highways are becoming more and more perfect, problems such as failure of fast charging stations or insufficient power of electric vehicles to reach fast charging stations still limit the promotion and use of electric vehicles. Therefore, it is of great practical significance to study the emergency rescue methods of electric vehicles in the highway environment to promote...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/12G06Q10/04
CPCG06N3/126G06Q10/04G06F30/20
Inventor 杨明张程琳
Owner SHANDONG UNIV
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