Lithium ion battery production process optimization method

Abstract

The invention relates to a lithium ion battery production process optimization method, and aims to improve equipment production efficiency. The specific technical scheme includes that the lithium ionbattery production process optimization method includes the steps: 1 judging whether B1-C or C1-B or B2-D or A-B carrying tasks exist or not, turning to step 2 if the carrying tasks exist, otherwise,turning to step 4; 2 searching the task closest to a carrying site, and starting execution; 3 marking the state of all tasks to be executed as 'non-execution' after executing one task, returning to the step 2 and performing optimization again until finishing; 4 searching the position C2 of a working procedure C nearing completion and calculating remaining time of completion. Compared with the prior art, the lithium ion battery production process optimization method has the advantages that an independent carrying task selection sequence is innovatively added to execute carrying and forecasted carrying tasks, carrying routes are optimized in advance, and the waiting time of production equipment is shortened by the two functions.

Description

Technical field: [0001] The invention relates to a manufacturing process of a lithium ion battery, in particular to a method for optimizing the production process of the lithium ion battery. Background technique: [0002] The process of lithium battery production includes: feeding, aging, formation, and discharging. For the convenience of the following description, use A for feeding, B for aging, C for chemical conversion, and D for discharging. Feeding A is to put the battery into the production line. Aging B is to put the battery in a static storage location for a period of time. The material can be moved during the static state. Formation C is to charge and discharge the battery. Output D is to put the battery through the logistics line. Shipping out of the production line is also the export of materials. [0003] With the deepening of the popularization of Industry 4.0, more and more lithium battery manufacturers have begun to use lithium batteries to produce storage m...

AI Technical Summary

Problems solved by technology

Due to limited equipment resources, the production time of the equipment in each link is different. Performing the transportation task of the same production link multiple times will easily cause other links to stop working due to lack of materials, thereby reducing production.

[0008] Technical Solution 2 Although the trolley performs the transportation tasks of each production link in turn, it is still impossible to reduce the idle time of C and D production equipment due to the lack of route planning

[0009] Technical solution 1 and 2 trolleys are task-driven and cannot be predicted in advance. The warehouse management system will generate a transport task after a certain production link is completed, so the trolley cannot predict the transport position and will not wait in advance when it is idle. Transport, unable to reduce equipment waiting time

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