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

Intelligent management charging algorithm for multiple AGVs in system

A technology of intelligent management and charging algorithm, applied in current collectors, electric vehicles, electrical components, etc., can solve the problems of decreased charging efficiency, chaotic charging management of AGV equipment, and different charging strategies of AGV equipment.

Pending Publication Date: 2022-02-15
GUANGDONG JATEN ROBOT & AUTOMATION
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the increase in the complexity of operations in intelligent production scenarios, the number and types of AGV equipment applied in intelligent production scenarios are gradually increasing, and the resulting problems are: (1) The same type of AGV equipment for different operating purposes (2) The charging strategies adopted by different types of AGV equipment are also different
Due to the implementation of multiple charging strategies in the system, the charging management of AGV equipment is chaotic. Multiple AGV equipment under different charging strategies move to the charging position and wait for charging, which reduces the charging efficiency of the system.

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
  • Intelligent management charging algorithm for multiple AGVs in system
  • Intelligent management charging algorithm for multiple AGVs in system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] see figure 1 , the intelligent management charging algorithm of multiple AGVs in the system of the present embodiment comprises the following steps:

[0048] Read all charging strategies in the system (n kinds of charging strategies);

[0049] Determine the charging strategy adopted by all AGV equipment in the system;

[0050] Query n kinds of charging strategies in turn, and sort the AGV devices using the same charging strategy from low to high to form a power sorting set En, where n represents the number of the charging strategy;

[0051] For all the AGV devices in the n battery sorting sets En, determine in turn whether the AGV devices have loaded the charging task, and screen out the AGV devices that have not loaded the charging task;

[0052] Judge the charging conditions of the AGV devices that have not been loaded with charging tasks, and screen out the AGV devices that meet the charging conditions;

[0053] Judging whether the charging device allows the AGV e...

Embodiment 2

[0083] This embodiment is an improved solution of Embodiment 1, and the difference from Embodiment 1 is:

[0084] In step (a3), if it is judged that there is an AGV device that can end the charging task in the charging device, it is sorted according to the power value from high to low to form a set K, and the AGV devices in the set K are sequentially searched for tasks in the scheduling system, and the query scheduling system Whether there is currently a task to be executed that specifies the AGV device to execute, or query whether the scheduling system currently has a task to be executed that has not been designated for execution by the AGV device but the AGV model required for the task is consistent with the type of the AGV device, if any (the above tasks If the first condition is judged to be yes), then the corresponding AGV device will send a charging task end command, otherwise (the above two conditions are judged to be none), the AGV device that executes the judgment will...

Embodiment 3

[0087] Due to the differences in the specifications of the charging interface and / or charging device of different types of AGV equipment, some AGV equipment can only be adapted to the specified type of charging device (fixed charging point). On the basis of the second embodiment, it is considered that the AGV equipment is limited to fit a specified type of charging device.

[0088] see figure 2 , in this implementation, for the case where the AGV equipment is limited to fit a specified type of charging device, the following judgment content is added:

[0089] Judging whether the charging device allows the AGV equipment that meets the charging conditions to enter, if not allowed, end the judgment; if allowed, then judge whether the charging device that is allowed to enter is consistent with the specified type of charging device that the AGV equipment is limited to fit, if so, then Control the AGV equipment that meets the charging conditions to enter the charging device for ch...

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 an intelligent management charging algorithm for multiple AGVs in a system. The intelligent management charging algorithm comprises the steps that all charging strategies are read; a charging strategy adopted by the AGV equipment is determined; the AGV equipment is sorted adopting the same charging strategy according to the electric quantity from low to high to form an electric quantity sorting set En; aGV equipment which is not loaded with the charging task is screened out; aGV equipment meeting the charging condition is screened out; and whether the charging device allows the AGV equipment meeting the charging condition to enter or not is judged, if yes, the AGV equipment meeting the charging condition is controlled to enter the charging device to be charged, and if not, judgment is ended. Compared with the prior art, according to the intelligent management charging algorithm for the multiple AGVs in the system, multiple charging strategies in the system are integrated, and disorder of charging management in the system is avoided.

Description

technical field [0001] The invention relates to the field of charging management methods for AGV devices, in particular to an intelligent management charging algorithm for multiple AGVs in a system. Background technique [0002] A large number of AGV devices are running in the existing intelligent production scenarios. In order to realize the 24-hour unattended continuous operation of the AGV devices, it is necessary to set a charging strategy for the AGV devices to implement charging control, so that the AGV devices can automatically deactivate when they are in a specific state. Perform charging tasks. With the increase in the complexity of operations in intelligent production scenarios, the number and types of AGV equipment applied in intelligent production scenarios are gradually increasing, and the resulting problems are: (1) The same type of AGV equipment for different operating purposes (2) The charging strategies adopted by different types of AGV equipment are also d...

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): H02J7/00
CPCH02J7/0045H02J7/0029
Inventor 刘珍周小和
Owner GUANGDONG JATEN ROBOT & AUTOMATION
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com