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

Intra-regional electric vehicle ordered charging control method

A charging control method and technology for electric vehicles, applied to electric vehicles, battery circuit devices, current collectors, etc., can solve the problems of lack, less data information, less research, etc., to reduce peak-to-valley differences, optimize scheduling, and reduce load fluctuating effect

Inactive Publication Date: 2016-01-20
JIANGSU ELECTRIC POWER CO +3
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because the development of electric vehicles is still in the initial stage, the corresponding data information is scarce, and it is difficult to predict the charging load, so the research on the charging load control strategy lacks data foundation support, resulting in very little research in this area.

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
  • Intra-regional electric vehicle ordered charging control method
  • Intra-regional electric vehicle ordered charging control method
  • Intra-regional electric vehicle ordered charging control method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0031] In this example, there are N electric vehicles in total, and each day is divided into M=96 time periods on average. The method for controlling the orderly charging of electric vehicles in the area of ​​this embodiment includes the following steps:

[0032] Step 1. Collect the travel chain information of all N electric vehicles in the area. The travel chain information of each electric vehicle includes the starting travel time, travel distance and target location of the electric vehicle. The target location may be one or There may be multiple (ie multi-destination travel).

[0033] Step 2: Detect the charging quantities of all electric vehicles in the area at the initial moment.

[0034] Step 3. According to the electric quantity charged at the initial moment of each electric vehicle, the initial travel time, the travel distance and the target location, the electricity required for each electric vehicle travel can be determined, and the charging of the electric vehicle ...

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 intra-regional electric vehicle ordered charging control method. The method comprises the steps of analyzing trip characteristics of electric vehicles based on the trip chain theory, collecting trip chain information of the number of N electric vehicles in a region, obtaining the battery state of charge of each electric vehicle at an initial moment of a user and obtaining the charging time and charging place of each electric vehicle through analysis; obtaining operating state information of a power grid, and updating a conventional load curve; and finally, aiming to minimize the load difference between peak and valley of a power distribution network, and determining the optimal charging time period and the optimal charging duration of each electric vehicle by using the genetic algorithm. According to the invention, the strategy to control the ordered charging of the electric vehicles can be made, the trip chain theory is used for predicting the charging load, the authenticity of the electric vehicle load prediction is improved, the availability of the control strategy is improved, and the effects of reducing the difference between peak and valley and the load fluctuation are achieved.

Description

technical field [0001] The invention relates to a method for controlling orderly charging of electric vehicles in an area, and belongs to the technical field of electric power planning. Background technique [0002] Electric vehicles are widely promoted and researched all over the world because of their dual attributes of load and power supply. The "Twelfth Five-Year Plan" for the Development of Electric Vehicle Technology pointed out that the development of the electric vehicle industry is an inevitable trend that cannot be changed in my country, and it is also a historical opportunity for my country to develop strategic emerging industries. According to conservative estimates, by 2020 and 2030, the number of automobiles in my country will reach 150 million and 250 million. If all electric vehicles are popularized, the total power generation will increase by 4% and 5.5% respectively. [0003] With the popularization of large-scale electric vehicles, there will be an increa...

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): H02J7/00
Inventor 朱红王勇嵇文路徐青山马洲俊蔡婷婷杜红卫罗兴王春宁苏光李文书赵辉程
Owner JIANGSU 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