Electric vehicle charging demand prediction method, storage device and system

A technology for electric vehicles and forecasting methods, which is applied in the direction of forecasting and distributing coin-operated equipment for discrete items, and coin-operated equipment for renting items, etc. It can solve problems such as poor user experience, improve accuracy and save manpower and material resources. and time cost, the effect of improving efficiency and user experience

Active Publication Date: 2017-10-20
NIO CO LTD
View PDF7 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method can also provide data for predicting the charging and swapping situation of the next day, it requires the car owner to declare one day in advance, and the user experience is poor.

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
  • Electric vehicle charging demand prediction method, storage device and system
  • Electric vehicle charging demand prediction method, storage device and system
  • Electric vehicle charging demand prediction method, storage device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0076] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0077] The invention proposes a method for predicting the charging and swapping demand of electric vehicles, which is used to predict how many electric vehicles need to be charged or swapped in a specific time period in a target area, so as to provide a basis for centralized scheduling of charging and swapping stations. Its initial input is data such as the number of parking spaces in the target area and the average traffic flow on the road. During the actual operation, the time and geographical location of each charging / replacing demand are counted, and used as a large data set to build electric vehicle charging / replacing Demand probability d...

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 electric vehicle charging demand prediction method, a storage device and a system. According to the prediction method, Poisson distribution is adopted to fit the quantity of electric vehicles in a set subdivided time period in a target region according to historical statistical data of actual charging demands, and then a probability distribution model of the charging demands is constructed; and predicted values of the charging demands are calculated based on the probability distribution model of the charging demands. Through the prediction accuracy calculation method, K-L divergence is utilized to evaluate the accuracy of a prediction result, and then a confidence coefficient of charging demand prediction is obtained and applied to an actual scheduling algorithm. Through the prediction method, a car owner or a regional agent does not need to make a declaration in advance, manpower and material resources and time cost can be substantially saved, and prediction efficiency and user experience are improved.

Description

technical field [0001] The invention relates to the field of electric vehicles, in particular to a method for predicting demand for charging and swapping of electric vehicles, a storage device and a system. Background technique [0002] The operational efficiency of charging / swapping facilities (charging electric vehicles or replacing power batteries) is directly related to user experience and the input, output, and economic benefits of charging / swapping facilities. The demand for charging / replacing batteries is affected by many factors, and has great randomness in time and space. If the operator of the charging / swapping facilities can accurately, reasonably and timely predict the charging / swapping needs of users, they can make reasonable scheduling and allocation of charging / swapping facilities and resources according to the needs, so as to maximize the use of charging / swapping facilities. Battery replacement facilities, and improve user experience by reducing the user's c...

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): G06Q10/04G06Q10/06G06Q50/06G07F15/00
CPCG06Q10/04G06Q10/06315G06Q50/06G07F15/005
Inventor 陈炯张建兴
Owner NIO CO LTD
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap