Charging recommendation method and device based on big data analysis

A technology of big data and big data platform, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve the problems of lack of intelligent perception, unfriendly matching of vehicle charging piles, and no vehicle charging at human-vehicle piles.

Pending Publication Date: 2021-10-08
DFSK MOTOR LTD CHONGQING BRANCH CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the existing technology, the charging pile lacks the intelligent perception of the electric vehicle that needs to be charged. When the power is lower than a certain threshold and needs to be charged, the user needs to find the charging pile location through the map software. Driving to the charging pile for charging. During the whole process, because the vehicle is not connected to the big data platform, the vehicles and charging piles in the area cannot be matched in a friendly manner. In festivals or routes and areas with heavy traffic, people are prone to appear. The unbalanced number of car piles causes congestion in some areas or no car charging in some areas, which increases the waiting time for users to wait in line for charging and reduces the user's charging experience.

Method used

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  • Charging recommendation method and device based on big data analysis
  • Charging recommendation method and device based on big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] see figure 1 and figure 2 , this embodiment provides a charging recommendation method based on big data analysis, including:

[0042] Obtain the vehicle data of the current vehicle and the charging pile data within the preset range. The vehicle data includes vehicle identification information, vehicle speed information, location information and remaining battery information; based on the current vehicle remaining battery information, location information and vehicle speed information, filter out the area The target charging pile within the range and use the vehicle identification information to queue up for an appointment on the target charging pile.

[0043] In the charging recommendation method based on big data analysis provided in this embodiment, the vehicle data of the current vehicle and the charging pile data within the preset range of the current vehicle are collected through the big data platform, wherein the vehicle data includes vehicle identification info...

Embodiment 2

[0061] This embodiment provides a charging recommendation device based on big data analysis, including:

[0062] An acquisition unit, configured to acquire vehicle data of the current vehicle and charging pile data within a preset range, the vehicle data including vehicle identification information, vehicle speed information, location information and remaining power information;

[0063] The calculation unit is used to filter out the target charging piles in the area based on the remaining power information of the current vehicle, the location information and the vehicle speed information, and use the vehicle identification information to queue up for reservations on the target charging piles.

[0064] Compared with the prior art, the beneficial effect of the device for recommending charging based on big data analysis provided by the embodiment of the present invention is the same as that of the method for recommending charging based on big data analysis provided by the first e...

Embodiment 3

[0066] This embodiment provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is run by a processor, the steps of the above charging recommendation method based on big data analysis are executed.

[0067] Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this embodiment are the same as those of the charging recommendation method based on big data analysis provided by the above technical solution, and will not be repeated here.

[0068] Those of ordinary skill in the art can understand that all or part of the steps in the above-mentioned inventive method can be completed by instructing related hardware through a program. The above-mentioned program can be stored in a computer-readable storage medium. When the program is executed, it includes: For each step of the method in the above embodiments, the storage medium may be: ROM / RAM, magnetic d...

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Abstract

The invention discloses a charging recommendation method and device based on big data analysis, relates to the technical field of charging piles, and aims to effectively reduce the waiting time of charging queuing of users through big data analysis, and improve the charging experience of the users. The method comprises the following steps that: vehicle data of a current vehicle and charging pile data in a preset range are acquired, wherein the vehicle data comprises vehicle identification information, vehicle speed information, position information and residual electric quantity information; and based on the residual electric quantity information, the position information and the vehicle speed information of the current vehicle, screening out a target charging pile in the regional range, and queuing and reserving on the target charging pile by using the vehicle identification information. The method provided by the technical schemes is applied to the device.

Description

technical field [0001] The invention relates to the technical field of charging piles, in particular to a charging recommendation method and device based on big data analysis. Background technique [0002] In the existing technology, the charging pile lacks the intelligent perception of the electric vehicle that needs to be charged. When the power is lower than a certain threshold and needs to be charged, the user needs to find the charging pile location through the map software. Driving to the charging pile for charging. During the whole process, because the vehicle is not connected to the big data platform, the vehicles in the area and the charging pile cannot be matched friendly. The unbalanced number of vehicle piles causes congestion in some areas or no car charging in some areas, which increases the waiting time for users to wait in line for charging and reduces the user's charging experience. Contents of the invention [0003] The purpose of the present invention i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9537G06Q10/02G07C5/00G07F15/00
CPCG06Q10/02G06F16/9537G07C5/008G07F15/005
Inventor 李军黄诚刚张超易强王小斌敖志国
Owner DFSK MOTOR LTD CHONGQING BRANCH CO
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