Battery cell production line OCV test section logistics line material distribution strategy optimization method and equipment

Abstract

The invention discloses a battery cell production line OCV test section logistics line material distribution strategy optimization method and device. The method comprises the steps of S1, obtaining a material distribution strategy formulated by a user; s2, the material distribution strategy is input into a pre-constructed real scene simulation model for simulation, and the utilization rate of each OCV device and the total capacity of all OCV devices are obtained after simulation is finished; s3, if the OCV equipment with the utilization rate smaller than the utilization rate threshold value exists or the total capacity of all the OCV equipment is smaller than the total capacity threshold value, it is judged that the input material distribution strategy is unqualified, and an unqualified data report containing the utilization rate and the total capacity is generated; and S4, obtaining a material distribution strategy optimized by the user according to the unqualified data report and returning to the step S2. According to the method, the material distribution strategy can be manually adjusted and optimized, a feasible improvement scheme is found through analogue simulation, and the production capacity of a production line is improved. No physical resource needs to be consumed, the optimization cost is saved, and it is guaranteed that the production progress is not affected.

Description

Technical Field

[0001] This invention relates to the field of battery cell manufacturing technology, and in particular to a method and equipment for optimizing the material diversion strategy of the OCV testing section of a battery cell production line. Background Technology

[0002] In the production line of power battery cells for new energy vehicles, OCV testing is a crucial step in quality inspection of the cells. Due to high production capacity requirements, numerous processes and equipment, limited workshop space, and the inability of single-machine testing equipment to meet production demands, multiple machines often operate in parallel to ensure capacity. Because of space constraints, logistics may be distributed from a single main line to multiple machines. An unreasonable logistics allocation strategy can lead to uneven utilization of equipment, poor line balance, and reduced capacity. Current technology cannot experimentally verify different logistics allocation strategies. Directly conducting experimental verification on the production line would inevitably affect production progress. Therefore, a technical solution capable of selecting a reasonable logistics allocation strategy is needed. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and equipment for optimizing the material diversion strategy of the OCV testing section of a battery cell production line, thereby solving the technical problem of unsatisfactory equipment utilization and total capacity when the logistics allocation strategy is unreasonable.

[0004] To achieve the above objectives, the present invention is implemented using the following technical solution: In a first aspect, the present invention provides a method for optimizing the material diversion strategy of the OCV testing section of a battery cell production line, comprising: S1. Obtain the material distribution strategy defined by the user; S2. Input the material diversion strategy into the pre-built real-scene simulation model for simulation, and obtain the utilization rate of each OCV device and the total capacity of all OCV devices after the simulation. S3. If there are OCV devices with utilization rates less than the utilization rate threshold or the total capacity of all OCV devices is less than the total capacity threshold, the input material diversion strategy is deemed unqualified, and an unqualified data report containing utilization rate and total capacity is generated. S4. Obtain the material allocation strategy optimized by the user based on the non-conforming data report and return to S2.

[0005] This invention uses the utilization rate and total capacity of OCV equipment as evaluation indicators, builds a realistic scenario simulation model, and outputs reliable evaluation indicators. Material diversion strategies are used as input conditions. By comparing OCV equipment utilization rates and manually adjusting and optimizing the material diversion strategies, feasible improvement solutions are ultimately found to increase production line capacity. The simulation process does not consume any physical resources, saving optimization costs and ensuring that production schedules are not affected.

[0006] Optionally, if there are no OCV devices with utilization rates below the utilization rate threshold or the total capacity of all OCV devices is greater than or equal to the total capacity threshold, the input material diversion strategy is deemed qualified, and a qualified data report containing utilization rate and total capacity is generated.

[0007] By presenting qualified data reports to users, they can intuitively obtain the utilization rate of each OCV device and the total capacity of all OCV devices. Based on the utilization rate, maintenance plans can be formulated for each OCV device, and based on the total capacity, production plans can be formulated to ensure efficient production operations. Furthermore, if users are still not satisfied with the qualified data reports, they can continue to optimize their material diversion strategies.

[0008] Optionally, the OCV test section logistics line includes a parallel loading logistics line and a unloading logistics line, with multiple OCV devices arranged side by side on the side of the unloading logistics line away from the loading logistics line. The test unit time of the OCV devices, the speed and size of the loading and unloading logistics lines, and the buffer capacity of the loading logistics line are used as the basic parameters of the real scene simulation model.

[0009] Due to limited workshop space, multiple parallel logistics lines could not be arranged. Therefore, only one loading logistics line and one unloading logistics line were set up. The OCV equipment was placed on the side of the unloading logistics line. The entire logistics system structure was simple. Therefore, only the test unit time of the OCV equipment, the speed and dimensions of the loading and unloading logistics lines, and the buffer capacity of the loading logistics line were needed to build a realistic scenario simulation model. While ensuring close resemblance to the actual scenario, it features simple setup and stable operation.

[0010] Optionally, the material diversion strategy includes the number and location of material diversion points, the number and location of material buffer points, and related transfer channels set in the feeding logistics line.

[0011] Since the OCV test section's material flow line is not suitable for relocation or relocation after installation and commissioning, the material diversion strategy is implemented at the material diversion points, material buffer points, and transfer channels of the feeding material flow line. By adjusting these points, the timing and sequence of material entry into each OCV device are altered, thereby changing the utilization rate of each OCV device and ultimately affecting the total capacity of all OCV devices. This optimized material diversion strategy can be directly put into production, offering flexibility and convenience.

[0012] Optionally, generating a report of non-compliance data, including utilization rate and total capacity, includes: The underutilization rate of each OCV device is calculated based on its utilization rate. The utilization rate and underutilization rate of each OCV device are generated in a percentage stacked bar chart, and the utilization rates below the utilization rate threshold are highlighted. Generate a comparison table of total capacity and total production threshold.

[0013] The percentage-based stacked bar chart clearly presents the distribution of utilization rates for each OCV device. Each bar has a total height of 100%, and different colors or patterns represent the utilization rates of different devices, facilitating a direct comparison of the relative size and overall composition of each part. Utilization rates below the threshold are highlighted, allowing users to easily identify OCV devices requiring adjustment. Low utilization indicates severe material shortages for the corresponding OCV device; by modifying the material distribution strategy to improve material supply, utilization can ultimately be increased. A comparison table provides a clear indication of whether the current total capacity meets design requirements.

[0014] Optionally, the simulation time for each round of the real-world scenario simulation model is set to 31 days.

[0015] The longer the simulation time, the more computing resources and time are usually required to complete the simulation. Based on actual needs, setting the simulation time to 31 days can more comprehensively reflect the operating status of the production system and more comprehensively and stably evaluate the monthly performance of the production system.

[0016] In a second aspect, the present invention provides an electronic device, including a processor and a storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps according to the method described above.

[0017] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0018] Fourthly, the present invention provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.

[0019] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: This invention provides a method and equipment for optimizing the material diversion strategy of the OCV testing section in a battery cell production line. The method uses the utilization rate and total capacity of the OCV equipment as evaluation indicators, builds a realistic scenario simulation model, and outputs reliable evaluation indicators. The material diversion strategy is used as input conditions. By comparing the OCV equipment utilization rate and manually adjusting and optimizing the material diversion strategy, a feasible improvement plan is found to increase production line capacity. The simulation does not consume any physical resources, saving optimization costs and ensuring that production progress is not affected. The equipment is used to execute the above method and achieve the corresponding technical effects. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating the material diversion strategy optimization method for the OCV testing section of a battery cell production line provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of the OCV test section logistics line provided in an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the operation of a user-defined material diversion strategy provided in an embodiment of the present invention; Figure 4 This is a data report diagram of a user-defined material diversion strategy provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the operation of the first user-optimized material diversion strategy provided in an embodiment of the present invention; Figure 6 This is a data report diagram of the first user-optimized material diversion strategy provided in this embodiment of the invention; Figure 7 This is a schematic diagram of the operation of the second material diversion strategy optimized by the user provided in the embodiment of the present invention; Figure 8 This is a data report diagram of the second material diversion strategy optimized by the user, provided in an embodiment of the present invention. Detailed Implementation

[0021] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0022] Example 1:

[0023] like Figure 1As shown, this embodiment of the invention provides a method for optimizing the material diversion strategy of the OCV testing section of a battery cell production line, including the following steps: S1. Obtain the material distribution strategy defined by the user.

[0024] The material diversion strategy includes the number and location of material diversion points set in the feeding logistics line, the number and location of material buffer points, and related transfer channels.

[0025] Since the OCV test section's material flow line is not suitable for relocation or relocation after installation and commissioning, the material diversion strategy is implemented at the material diversion points, material buffer points, and transfer channels of the feeding material flow line. By adjusting these points, the timing and sequence of material entry into each OCV device are altered, thereby changing the utilization rate of each OCV device and ultimately affecting the total capacity of all OCV devices. This optimized material diversion strategy can be directly put into production, offering flexibility and convenience.

[0026] S2. Input the material diversion strategy into the pre-built real-scene simulation model for simulation. After the simulation, obtain the utilization rate of each OCV device and the total capacity of all OCV devices.

[0027] S3. If there are OCV devices with utilization rates less than the utilization rate threshold or the total capacity of all OCV devices is less than the total capacity threshold, the input material diversion strategy is deemed unqualified, and an unqualified data report containing utilization rate and total capacity is generated. If there are no OCV devices with utilization rates below the utilization threshold, or if the total capacity of all OCV devices is greater than or equal to the total capacity threshold, then the input material diversion strategy is deemed qualified, and a qualified data report containing utilization rate and total capacity is generated.

[0028] Specifically, in this embodiment, generating a non-compliance data report that includes utilization rate and total capacity includes: Calculate the underutilization rate of each OCV device based on its utilization rate, generate a percentage stacked bar chart of the utilization and underutilization rates of each OCV device, and highlight the utilization rates below the utilization threshold; generate a comparison table of total capacity and total output threshold.

[0029] The percentage-based stacked bar chart clearly presents the distribution of utilization rates for each OCV device. Each bar has a total height of 100%, and different colors or patterns represent the utilization rates of different devices, facilitating a direct comparison of the relative size and overall composition of each part. Utilization rates below the threshold are highlighted, allowing users to easily identify OCV devices requiring adjustment. Low utilization indicates severe material shortages for the corresponding OCV device; by modifying the material distribution strategy to improve material supply, utilization can ultimately be increased. A comparison table provides a clear indication of whether the current total capacity meets design requirements.

[0030] Generate a qualified data report containing utilization rate and total capacity using the same method as generating an unqualified data report containing utilization rate and total capacity, except that the highlighting of utilization rates below the utilization rate threshold is disabled.

[0031] S4. Obtain the material allocation strategy optimized by the user based on the non-conforming data report and return it to S2.

[0032] By presenting qualified data reports to users, they can intuitively obtain the utilization rate of each OCV device and the total capacity of all OCV devices. Based on the utilization rate, maintenance plans can be formulated for each OCV device, and based on the total capacity, production plans can be formulated to ensure efficient production operations. Furthermore, if users are still not satisfied with the qualified data reports, they can continue to optimize their material diversion strategies.

[0033] Due to limited workshop space, multiple parallel logistics lines cannot be arranged, such as Figure 2 As shown, the OCV test section logistics line includes a parallel loading logistics line and a unloading logistics line, with multiple OCV devices (s, s1, s2) arranged side by side on the unloading logistics line away from the loading logistics line.

[0034] The test unit time of the OCV equipment, the speed and dimensions of the loading and unloading logistics lines, and the buffer capacity of the loading logistics line are obtained as the basic parameters for the real-world simulation model. This model is then constructed by combining the actual layout of the OCV test section's logistics lines. This simulation model, while ensuring close resemblance to real-world scenarios, is characterized by its simplicity in construction and stable operation.

[0035] The simulation time for each round of the real-world scenario simulation model is set to 31 days.

[0036] The longer the simulation time, the more computing resources and time are usually required to complete the simulation. Based on actual needs, setting the simulation time to 31 days can more comprehensively reflect the operating status of the production system and more comprehensively and stably evaluate the monthly performance of the production system.

[0037] like Figure 3 The image shows an example of a user-defined material diversion strategy; the data report generated after simulation using a real-world scenario simulation model is as follows. Figure 4 As shown. From Figure 4 It is evident that the OCV equipment s2 has a low utilization rate and a severe material shortage. User analysis revealed that the distances from the logistics line's distribution points to each station are: S: 2.8m, S1: 4.6m, and S2: 6.4m. This significant distance difference leads to untimely material supply to the OCV equipment s2, an imbalance in material supply between different devices, resulting in low equipment utilization and reduced production capacity.

[0038] like Figure 5 The image shows an example of a user-optimized material diversion strategy. The material diversion point is adjusted to be in front of the material flow line opposite to s2, adding two transfer channels that can directly transfer materials from the target material flow line to s1 and s2. After simulation using a real-world scenario simulation model, the generated data report is as follows: Figure 6 As shown.

[0039] like Figure 7 As shown, this is another example of a user-optimized material diversion strategy. The material diversion point is adjusted to be in front of the material flow line opposite to s2. Two transfer channels are added that can directly transfer materials from the object material flow line to s1 and s2. Simultaneously, buffer positions are added in front of the transfer channels of s1 and s2. The allocation strategy is that materials that can directly enter the OCV device are directly transferred into the device; those that cannot directly enter the OCV device are transferred into the buffer positions. After simulation using a real-world scenario simulation model, the generated data report is as follows: Figure 8 As shown.

[0040] from Figure 5 and Figure 6 It can be seen that the first optimized material diversion strategy improved the utilization rate of OCV equipment, with an average equipment utilization rate increase of 2.7% and a total capacity increase of 2.7%. From Figure 7 and Figure 8 As can be seen, the second optimized material diversion strategy improved the utilization rate of OCV equipment, with an average equipment utilization rate increase of 6.6% and a total capacity increase of 6.6%. According to the judgment rules, the second optimized material diversion strategy is qualified.

[0041] In summary, the material diversion strategy optimization method for the OCV testing section of a battery cell production line provided by this invention uses the utilization rate and total capacity of the OCV equipment as evaluation indicators. A realistic scenario simulation model is built and reliable evaluation indicators are output. The material diversion strategy is used as input conditions. By comparing the OCV equipment utilization rate and manually adjusting and optimizing the material diversion strategy, a feasible improvement plan is finally found to increase production line capacity. The simulation does not consume any physical resources, saving optimization costs and ensuring that production progress is not affected.

[0042] Example 2:

[0043] Based on the material diversion strategy optimization method for the OCV testing section of the battery cell production line provided in Embodiment 1, this embodiment of the invention provides an electronic device, including a processor and a storage medium; Storage media are used to store instructions; The processor is used to perform operations according to instructions to execute the steps according to the method described above.

[0044] Example 3:

[0045] Based on the material diversion strategy optimization method for the OCV testing section of the battery cell production line provided in Embodiment 1, this embodiment of the invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above method.

[0046] Example 4:

[0047] Based on the material diversion strategy optimization method for the OCV testing section of the battery cell production line provided in Embodiment 1, this embodiment of the invention provides a computer program product, including a computer program / instruction, which implements the steps of the above method when executed by a processor.

[0048] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0049] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0050] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0051] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0052] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. An OCV test section logistics line material diversion strategy optimization method of a battery cell production line, characterized in that, The method comprises: S1, obtaining a material distribution strategy set by a user; S2, inputting the material distribution strategy into a pre-constructed real scene simulation model for simulation, and obtaining the utilization rate of each OCV device and the total capacity of all OCV devices after the simulation is completed; S3, if there is an OCV device with a utilization rate less than a utilization rate threshold or the total capacity of all OCV devices is less than a total capacity threshold, it is determined that the input material distribution strategy is unqualified, and an unqualified data report containing the utilization rate and the total capacity is generated; S4, obtaining a material distribution strategy optimized by the user according to the unqualified data report and returning to S2.

2. The method of claim 1, wherein the method further comprises: If there is no OCV device with a utilization rate less than a utilization rate threshold or the total capacity of all OCV devices is greater than or equal to a total capacity threshold, it is determined that the input material distribution strategy is qualified, and a qualified data report containing the utilization rate and the total capacity is generated.

3. The method of claim 1, wherein the method further comprises: The OCV test section logistics line comprises a feeding logistics line and a discharging logistics line arranged in parallel, and a plurality of OCV devices are arranged side by side on the side of the discharging logistics line away from the feeding logistics line, and the test unit time of the OCV devices, the speed and size of the feeding logistics line and the discharging logistics line, and the buffer amount of the feeding logistics line are used as the basic parameters of the real scene simulation model.

4. The method of claim 2, wherein, The material distribution strategy comprises the number and position of material distribution sites, the number and position of material buffer sites, and related transplanting channels arranged on the feeding logistics line.

5. The method of claim 1, wherein, The generation of the unqualified data report containing the utilization rate and the total capacity comprises: According to the utilization rate of each OCV device, the non-utilization rate thereof is calculated, and the utilization rate and the non-utilization rate of each OCV device are generated in a percentage stacked column chart, and the utilization rate less than the utilization rate threshold is highlighted; The total capacity and the total production threshold are generated in a comparison table.

6. The method of claim 1, wherein, The simulation time of each round of the real scene simulation model is set to 31 days.

7. An electronic device, comprising: The method comprises a processor and a storage medium; The storage medium is used to store instructions; The processor is used to operate according to the instructions to perform the steps of the method according to any one of claims 1-6.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to realize the steps of the method according to any one of claims 1-6.

9. A computer program product comprising computer programs / instructions, characterized in that, The computer program / instructions are executed by the processor to realize the steps of the method according to any one of claims 1-6.

Images