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

A charging demand forecasting method and device for an electric vehicle

An electric vehicle and charging demand technology, which is applied in the directions of forecasting, registering/indicating the operation of vehicles, and data processing applications, etc., can solve the problems that the basic needs of electric vehicle charging network management cannot be met, and the charging requirements of electric vehicles are not accurate enough. Actionability and Practicality, Accurately Predicted Effects

Pending Publication Date: 2019-03-01
STATE GRID CORP OF CHINA +3
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Among the current prediction methods, one is based on the energy demand estimation method based on the vehicle dynamics model of traditional vehicles, and then assumes that the charging needs of electric vehicles are predicted based on constant speed driving; the other method is a combination of vehicle dynamics models and Battery model, the electric vehicle charging demand predicted by the two methods is not accurate enough to meet the basic needs in the management of electric vehicle charging network

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
  • A charging demand forecasting method and device for an electric vehicle
  • A charging demand forecasting method and device for an electric vehicle
  • A charging demand forecasting method and device for an electric vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] Below in conjunction with embodiment the invention is described in further detail.

[0045] Such as figure 1 As shown, the present invention provides a method for predicting the charging demand of electric vehicles, the method comprising:

[0046] Step 1, using the pre-established neural network model to predict the driving speed of the electric vehicle;

[0047] Step 2, determining the energy consumption of the electric vehicle according to the driving speed of the electric vehicle;

[0048] Step 3, determine the charging demand of electric vehicles according to the energy consumption of electric vehicles;

[0049] Among them, the pre-established neural network model is obtained by using historical traffic environment information and its corresponding historical electric vehicle driving speed;

[0050] Obtaining steps include:

[0051] Input the historical traffic environment information and its corresponding historical electric vehicle driving speed into the input...

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 provides a charging demand forecasting method and device for an electric vehicle, which comprises the following steps: a driving speed of the electric vehicle is forecasted by using a neural network model established in advance; determining the energy consumption of the electric vehicle according to the driving speed of the electric vehicle; determining electric vehicle charging demand according to electric vehicle energy consumption; among them, the neural network model established in advance is based on the historical traffic environment information and the corresponding driving speed of the historical electric vehicle. The present invention is based on the in-depth study of the historical traffic environment information and the corresponding driving speed of the historicalelectric vehicle and the battery model of the electric vehicle, so that the predicted charging demand of the electric vehicle is more accurate, and has good operability and practicability.

Description

technical field [0001] The invention belongs to the technical field of charging, and in particular relates to a method and device for predicting charging demand of electric vehicles. Background technique [0002] The traditional energy crisis and the increasing environmental pollution have prompted the rapid development of electric vehicle technology and the rapid increase in the number of electric vehicles on the market. In order to meet the charging demand of electric vehicles, a large number of charging piles have been put into operation in the market. [0003] However, the contradiction between the charging demand of electric vehicles and charging stations has become increasingly prominent. Among them, the accurate prediction of electric vehicle charging demand is the most basic management method in the management of electric vehicle charging network, and the current commercial electric vehicle charging demand forecast does not make full use of the existing information p...

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): G06Q10/04G06Q50/06G07C5/08
CPCG06Q10/04G06Q50/06G07C5/0808
Inventor 张元星蒋林洳刘永相江冰李涛永张晶冯义张宝平刁晓虹李康许娟婷马澄斌李斌闫华光郭炳庆覃剑仇新宇许庆强肖宇华吴涛易江腾
Owner STATE GRID CORP OF CHINA
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

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