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

Charging planning method for long-distance operation of electric vehicles in intelligent transportation

A technology for electric vehicles and intelligent transportation, which is applied in electric vehicle charging technology, electric vehicles, secondary battery charging/discharging, etc., and can solve problems such as poor service capabilities

Active Publication Date: 2021-12-24
HARBIN ENG UNIV
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still many problems in the construction of charging stations in my country, such as poor service capabilities, etc.

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
  • Charging planning method for long-distance operation of electric vehicles in intelligent transportation
  • Charging planning method for long-distance operation of electric vehicles in intelligent transportation
  • Charging planning method for long-distance operation of electric vehicles in intelligent transportation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The charging planning method for long-distance operation of electric vehicles in intelligent transportation of the present invention comprises the following steps:

[0045] Step 1: Obtain necessary information such as the remaining power of the electric vehicle (the power must be sufficient for the electric vehicle to reach any charging station), and the power consumed per unit distance.

[0046] Step 2: Assuming that the cellular network is fully covered, read the information of all charging stations in a reasonably planned area, including the charging situation in the station, the waiting situation and the utilization of charging facilities.

[0047] Step 3: Determine whether the remaining power of the electric vehicle can support it to reach the nearest charging station after driving to the destination. If the judgment result is "yes", that is, just drive directly to the destination; if the judgment is "no", then drive to the charging station.

[0048] Step 4: When ...

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 planning method for long-distance operation of electric vehicles in intelligent transportation. Includes path finding and charging schemes. In the path finding, the starting point, destination point and charging station are regarded as all passing points in the path, and a two-stage search is adopted to extract all possible paths and give a plan to reach the destination. After the route is given, the charging time and travel time of each route are calculated. In the charging scheme, the number of vehicles waiting for each charging station, the estimated queuing time and the new queuing time when the electric vehicle arrives at the charging station are estimated through queuing theory, and the queuing time at the accessible charging station is estimated, and it is combined with the search path The charging time and travel time are obtained by merging the time in the vehicle, and a reasonable route is planned by the coordination curve method. The present invention can provide optimal route selection when there is no charging demand, and can also provide a route selection scheme and a charging planning scheme when there is a charging demand.

Description

technical field [0001] The invention relates to an optimal driving planning method for an electric vehicle in intelligent transportation. Background technique [0002] With the intensification of the global financial crisis, the deterioration of the ecological environment, and the depletion of energy and resources, vigorously researching and utilizing electric vehicle-related technologies and promoting industrial development have become a new focus of competition in the world's automobile industry. The United States, Japan, Germany and other major automobile manufacturing powers in the world have joined the ranks of seizing the commanding heights of electric vehicle technology and market. The production and sales of electric vehicles have increased significantly, of which electric passenger vehicles account for more than 90%. The United States, the European Union, China, and Japan are still at the forefront of the global electric vehicle market. General Motors, Ford, and T...

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 Patents(China)
IPC IPC(8): H01M10/44B60L53/31B60L53/66G06Q10/04G06Q50/06
CPCH01M10/44G06Q10/047G06Q50/06B60L53/60Y02T10/7072Y02T10/70Y02T90/12Y02E60/10Y02T90/16
Inventor 王桐杨光新曹越赵春晖王希波
Owner HARBIN ENG UNIV
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