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Electric vehicle charging navigation method and system in fast charging/slow charging mode

An electric vehicle and navigation method technology, which is applied to the traffic control system, navigation, surveying and navigation of road vehicles, etc., can solve the problems of inability to reasonably utilize charging station resources and inability to dispatch electric vehicles.

Active Publication Date: 2020-07-10
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a charging navigation method and system for electric vehicles in the fast charging / slow charging mode to solve the problems that the existing electric vehicle charging navigation strategy cannot rationally schedule the electric vehicles and cannot rationally utilize the resources of the charging station

Method used

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  • Electric vehicle charging navigation method and system in fast charging/slow charging mode
  • Electric vehicle charging navigation method and system in fast charging/slow charging mode
  • Electric vehicle charging navigation method and system in fast charging/slow charging mode

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0079] Electric vehicle charging navigation method in fast charging / slow charging mode, such as figure 1 shown, including the following steps:

[0080] S1. Obtain the vehicle information of the target electric vehicle and the traffic information and charging pile information of the area where it is located; the charging pile includes a fast charging mode and a slow charging mode;

[0081] The information to be obtained above specifically includes:

[0082] Vehicle information includes the current location coordinates of the electric vehicle (ie GPS information), its destination location coordinates, and the current battery level Battery rated capacity E ca , power consumption per kilometer e c ;

[0083] The traffic information includes map road information and traffic flow information; the map road information includes the location coordinates of the area where the target electric vehicle is located, building information (such as schools, residential areas, hospitals, sh...

Embodiment 2

[0149] Electric vehicle charging navigation system in fast charging / slow charging mode, such as Figure 5 shown, including:

[0150] The information collection module is used to obtain the vehicle information of the target electric vehicle and the traffic information and charging pile information of the area where it is located; the charging pile includes a fast charging mode and a slow charging mode;

[0151] The path planning module is used to plan several optional paths for the target electric vehicle to reach each charging pile;

[0152] The cost prediction module is used to predict the time cost and price cost of charging the target electric vehicle to its corresponding charging pile by using the recurrent neural network for each optional path;

[0153] The charging navigation strategy module is used to select the optimal path based on the data obtained by the information collection module, path planning module and cost prediction module using the preset fast charging na...

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Abstract

The invention discloses an electric vehicle charging navigation method and system in a fast charging / slow charging mode, and provides a fast charging navigation strategy and a slow charging navigationstrategy for a user to select in allusion to difference between two behavior modes of fast charging and slow charging, so as to meet the power utilization requirements of the user under different conditions, and enable the charging navigation to be more accurate. At present, most of electric vehicle charging navigation strategies predict time on the basis of a physical model. In order to solve the problem that capacity of handling traffic emergencies and traffic congestion conditions are not high, a recurrent neural network is adopted to process traffic information and road information converted into sequence information so as to accurately predict the emergencies and the traffic congestion conditions. Meanwhile, the charging price changing along with time is accurately predicted by utilizing the strong processing capability of the recurrent neural network on the sequence data, so that the charging cost is accurately predicted, and charging navigation planning is more reasonable.

Description

technical field [0001] The invention relates to the technical field of electric vehicle charging, in particular to a charging navigation method and system for electric vehicles in a fast charging / slow charging mode. Background technique [0002] The current charging navigation strategy for electric vehicles does not fully take into account the differences in the behavior patterns of electric vehicle owners in slow charging mode and fast charging mode, but simply adopts the same navigation strategy for fast charging and slow charging. Uniform processing. [0003] In addition, the current charging navigation strategy for electric vehicles has the difficulty of time prediction, which is difficult to overcome. Because the actual road conditions are very complex and have strong randomness, the time to predict the arrival time of electric vehicles from point A to point B is an estimated value. In the charging navigation of electric vehicles, it is necessary to predict not only th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/34G06Q10/04G08G1/01
CPCG01C21/3469G01C21/3492G06Q10/047G08G1/0104Y02T10/70
Inventor 方思凡陈新邹毅杨超钟雨沛林芷薇
Owner GUANGDONG UNIV OF TECH
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