Electromobile charging path planning method based on intelligent transportation system

An intelligent transportation system, electric vehicle technology, applied in electric vehicles, traffic control systems, traffic control systems for road vehicles, etc., can solve problems such as unqualified voltage levels, uneven load distribution, and overloading of loads.

Active Publication Date: 2012-10-03
TSINGHUA UNIV
View PDF3 Cites 60 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, electric vehicle charging may adversely affect the power system in many ways: such as load overload, unqualified voltage level and increased power loss, etc.
When electric vehicles are introduced into the market on a large sc

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
  • Electromobile charging path planning method based on intelligent transportation system
  • Electromobile charging path planning method based on intelligent transportation system
  • Electromobile charging path planning method based on intelligent transportation system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The charging path planning method for electric vehicles based on the intelligent transportation system proposed by the present invention, its system block diagram is as follows figure 1 As shown, the method includes the following steps:

[0039] (1) The electric vehicle sends the electric vehicle information to the traffic control center. The electric vehicle information includes: starting point A, destination B, initial power state E soc0 , battery capacity E B , departure time t 0 , The maximum mileage d of electric vehicles ran and KPGe per unit of electric energy travel; the traffic control center selects the shortest path between A and B according to the received electric vehicle information, and the distance of the shortest path is recorded as d ABmin , select the charging station T closest to destination B, and the shortest path distance between destination B and charging station T is denoted as d BTmin ; The traffic control center judges the electric energy ...

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 electromobile charging path planning method based on an intelligent transportation system, belonging to the technical field of operation and control of electric systems. The electromobile charging path planning method comprises the following steps of: firstly, a traffic control center judges whether an electromobile needs to be charged according to information of the electromobile; if necessary, an owner is prompted to charge the electromobile; the traffic control center searches all charging stations in the maximum range of the electromobile as candidate charging stations and calculates the charging probability of the electromobile in each charging station; a charging load is predicated according to the charging probability and is transmitted to an electric system scheduling center, and the electric system scheduling center calculates the allowable maximum charging power of each charging station and transmits the allowable maximum charging power to the traffic control center; and the traffic control center transmits traveling and charging total time sequence obtained according to the maximum charging power to the owner. The electromobile charging path planning method provides an optimal charging path for the owner of the electromobile and improves the traveling efficiency of the owner. In addition, the operation requirements of the electric system are sufficiently considered in the selection of the charging stations, and therefore the safe operation of the electric system is guaranteed.

Description

technical field [0001] The invention relates to a method for planning an electric vehicle charging path based on an intelligent transportation system, and belongs to the technical field of power system operation and control. Background technique [0002] The internationally accepted SAE J1772-2010 standard specifies three charging methods: "AC level 1" for slow charging, and "AC level 2" and "DC charging" for fast charging. Slow charging is mainly carried out at charging piles, and the charging time is 6 to 8 hours, which is suitable for electric vehicles that have been parked for a long time. Fast charging is mainly carried out at the charging station, and the charging time is 15 minutes to 2 hours. It is used for emergency charging of the electric vehicle on the way. The owner hopes that the charging power provided by the charging station is the maximum power that the electric vehicle can accept, so that it can be completed as soon as possible. Charge. However, EV chargi...

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
IPC IPC(8): H02J7/00G06F17/30G01C21/34G08G1/0968
Inventor 郭庆来孙宏斌张伯明吴文传王尧李正烁辛蜀骏
Owner TSINGHUA UNIV
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