Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-type electric vehicle charging facility planning method based on urban function division and resident travel big data

A technology for electric vehicles and charging facilities, which is applied in the field of power system informatization, can solve the problems of not considering the economics of charging facilities, the characteristics of charging facilities and the requirements for planning, and the inability to fully describe the characteristics of travel behavior, etc., so as to enhance the convenience of charging , planning results are reliable, and the effect of alleviating mileage anxiety

Pending Publication Date: 2022-04-29
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
View PDF1 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention patent with the publication number CN112950034A uses the GPS navigation system to make statistics on the travel data of short-term electric vehicles, so as to obtain the planning scheme of electric vehicle charging facilities; but it cannot fully describe the travel behavior characteristics of electric vehicles at different times and places throughout the year, and This patent does not consider the economics of the establishment and operation of charging facilities, nor can it be planned in combination with the characteristics and requirements of charging facilities in different urban functional zones

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-type electric vehicle charging facility planning method based on urban function division and resident travel big data
  • Multi-type electric vehicle charging facility planning method based on urban function division and resident travel big data
  • Multi-type electric vehicle charging facility planning method based on urban function division and resident travel big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0096] This embodiment implements a multi-type electric vehicle charging facility planning method based on urban functional zoning and residents' travel big data.

[0097] In this embodiment, a multi-type electric vehicle charging facility planning method based on urban functional zoning and residents' travel big data focuses on solving the following technical problems:

[0098] 1. Consider the travel behavior of electric vehicles in different functional areas such as residential areas, commercial areas, and work areas, and plan electric vehicle charging facilities in combination with the characteristics of urban divisions.

[0099] 2. Considering that the fully charged electric vehicle will still occupy the charging parking space, establish an electric vehicle planning model that considers the parking occupancy situation.

[0100] 3. Consider the impact of different types of charging facilities on the power grid, and incorporate power capacity constraints into the optimizatio...

Embodiment 2

[0173] This embodiment implements a multi-type electric vehicle charging facility planning method based on urban functional zoning and residents' travel big data. This embodiment is a specific application of Embodiment 1. Taking a certain area in Shanghai as the planning object as an example, an example analysis is performed to verify the effectiveness of the method.

[0174] The survey obtains big data on the travel situation of residents. The data includes information on the location of vehicles passing by within a day, information on departure and arrival times, distance information, information on the SOC of the initial battery state of charge of electric vehicles, and information on the average power consumption of vehicle models. Calculate the above data and obtain the probability distribution of the above data.

[0175] Select an area in Shanghai as the planning object, and divide the planning area into four types of functional areas: residential area, work area, commer...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a multi-type electric vehicle charging facility planning method based on urban function division and resident travel big data. The method comprises the following steps: S1, investigating and acquiring historical resident electric vehicle travel behavior data in an urban planning area; s2, dividing the urban planning area into four functional areas according to different area functions; s3, obtaining a travel parameter probability distribution function of each section of travel of each resident electric vehicle travel chain type; s4, establishing a complete planning resident electric vehicle travel behavior data set; s5, establishing a single electric vehicle charging and discharging model across functional areas; s6, establishing a power interaction model of the charging facility cluster and the transformer substation cluster in the multi-temporal-spatial-scale functional area; s7, establishing a parking space physical constraint; and S8, establishing an optimization model by taking the minimum construction and operation cost of the charging facility and the minimum annual user charging cost as an objective function. The method is used for overall layout planning of urban electric vehicle charging facilities.

Description

【Technical field】 [0001] The invention relates to the technical field of electric power system informatization, in particular to a multi-type electric vehicle charging facility planning method based on urban functional zoning and residents' travel big data. 【Background technique】 [0002] The development of new energy vehicles is of great significance to promote the transformation of energy structure, promote energy conservation and emission reduction, ensure energy security and prevent and control air pollution. In recent years, the fuel vehicle subsidy policy has been gradually tightened, and my country's new energy vehicle market has gradually entered a more rational "post-subsidy era". After subsidies are reduced, the practicality and cost performance of new energy vehicles will become the key to increasing their market share. At the current stage, consumers generally have "mileage anxiety" in the use of new energy vehicles, that is, they are worried that the vehicle's ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F30/20G06F111/04
CPCG06Q10/0631G06F30/20G06F2111/04Y02T10/40
Inventor 张开宇余苏敏傅晓飞周云沈冰时珊珊黄晨宏纪坤华苏运王云马韬韬方陈史一炜冯冬涵刘泽宇
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products