Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Urban charging station planning method based on electric vehicle travel big data

A technology for electric vehicles and charging stations, which is applied in urban charging station planning based on electric vehicle travel big data, and can solve problems such as inability to filter data, lack of specificity in planning results, and inability to achieve level configuration of charging stations.

Pending Publication Date: 2020-01-10
SHANGHAI MUNICIPAL ELECTRIC POWER CO
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Patent CN 110189025A discloses a method for planning charging demand under different load growth modes, but this method cannot achieve effective data screening when processing raw data, and cannot achieve hierarchical configuration of charging stations. Planning results are not specific enough

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
  • Urban charging station planning method based on electric vehicle travel big data
  • Urban charging station planning method based on electric vehicle travel big data
  • Urban charging station planning method based on electric vehicle travel big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0104] This embodiment describes the method of the present invention based on the actual area electric vehicle data and the actual electric vehicle real-time travel data. The specific data content is:

[0105] Take an urban area of ​​37 square kilometers as an example, with a population of 570,000 and 12,000 electric vehicles (to simplify the calculation, it is uniformly assumed that the BYD E6 model is common in the market, the speed vEV=40km / h, and the rated power WEV=60kW·h). The urban area is divided into 10 districts by the main road, including three commercial districts (O1, O2, O3), four residential districts (H1, H2, H3, H4), and three working districts (W1, W2, W3), such as figure 2 shown.

[0106] Such as figure 1 As shown, the present invention relates to a method for urban charging station planning based on electric vehicle travel big data, which specifically includes the following steps:

[0107] Step 1. Clean the big data of electric vehicle travel, dig out t...

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 an urban charging station planning method based on electric vehicle travel big data. The urban charging station planning method comprises the steps: 1), carrying out the datacleaning and data mining of the electric vehicle travel big data, and obtaining an initial state rule, a state transition rule and a charging information rule; 2) simulating the initial state of the vehicle by adopting a roulette method, recurring the travel state at each moment by adopting a Markov principle, and obtaining the space-time distribution of the travel state by screening charging demand points; 3) according to the space-time distribution condition of the charging demand, selecting candidate station addresses by integrating geographical factors and urban planning requirements, andcalculating selectable levels of the candidate stations meeting the charging demand dissatisfaction rate constraint. Compared with the prior art, the urban charging station planning method has the advantages that the accuracy of obtaining the initial state rule, the state transition rule and the charging information rule is improved, and the planning scheme is specific, and the like.

Description

technical field [0001] The invention relates to a method for planning a charging station in an urban area, in particular to a method for planning a charging station in an urban area based on big data of electric vehicle travel. Background technique [0002] In the context of the depletion of fossil energy and the continuous improvement of environmental protection requirements, electric vehicles have gained more and more popular applications due to their remarkable advantages of high efficiency, energy saving, zero emission and pollution-free, and their development is very rapid. Improving charging facilities is one of the important foundations for the promotion of electric vehicles. Reasonable planning of the location and capacity of charging stations can meet the space-time requirements of electric vehicle charging and obtain certain economic benefits. [0003] The existing domestic literature on charging facility planning mostly uses the statistics of the national family ...

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): G06Q10/04G06Q10/06G06Q50/26G06N3/12
CPCG06Q10/047G06Q10/06G06Q50/26G06N3/126
Inventor 谭琪明沈浩豪何春辉吴赟高瑜焓刁昶顾嘉斌孙嘉诚舒佳驰平勇成李敏丁圣康勾衬衬
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com