Optimization method of lithium-ion battery production process

Abstract

The invention relates to a method for optimizing the production process of a lithium ion battery, and aims to improve equipment production efficiency. The specific technical solution is as follows: Lithium-ion battery production process optimization method, including the following steps: Step 1: Determine whether there is a transfer task of B1-C or C1-B or B2-D or A-B, if there is, go to step 2, otherwise Go to Step 4; Step 2: Find the task closest to the transfer location, and start executing it; Step 3: After executing a task, mark all pending tasks as "unexecuted", and return to Step 2 to optimize again until the end; Step 4: Find the position C2 that is about to complete the process C, and calculate the remaining time from the completion; the progress of the present invention compared with the prior art lies in: the innovation of this system increases the independent selection of the transport task order to execute the transport and predict the transport task, and optimize the transport in advance Route these two functions, and reduce the waiting time of production equipment through these 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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