CN117828786A

CN117828786A - Size optimization method, device, system and storage medium

Info

Publication number: CN117828786A
Application number: CN202311861962.1A
Authority: CN
Inventors: 程浩; 吴俊钦; 高思军; 张国文; 魏华浩; 肖顺才
Original assignee: Sunwoda Electronic Co Ltd
Current assignee: Sunwoda Electronic Co Ltd
Priority date: 2023-12-29
Filing date: 2023-12-29
Publication date: 2024-04-05

Abstract

The invention discloses a size optimization method, a device, a system and a storage medium, wherein the method comprises the following steps: acquiring multiple types of size information among a plurality of single battery cells of a battery pack, wherein each type of size information comprises multiple groups of sub-size information corresponding to the battery cell sizes of the plurality of single battery cells; performing a compensation calculation operation on each type of size information to obtain a compensation amount, the compensation calculation operation including: calculating Cpk indexes of respective corresponding sub-sizes according to the plurality of sets of sub-size information, and determining the sub-size corresponding to the minimum Cpk index as the target sub-size if the plurality of Cpk indexes meet a first preset condition; if the target sub-size meets a second preset condition, calculating a compensation amount according to a group of sub-size information corresponding to the target sub-size; and performing first optimization processing on the plurality of sub-sizes according to the compensation amount acquired by each type of size information. The technical scheme provided by the invention can solve the technical problem that the adjustment of the sizes of a plurality of battery cells of the battery pack depends on manpower in the prior art.

Description

Size optimization method, device, system and storage medium

Technical Field

The present invention relates to the field of battery technologies, and in particular, to a size adjustment method, device, system, and storage medium.

Background

The intelligent size adjustment and optimization is mainly based on the intelligent manufacturing internet of things technology and big data technology, and the real-time collection and transmission of data are realized by connecting sensors, devices and systems inside and outside a factory, so that the production process is more intelligent and efficient. The system aims to provide a platform for connecting, managing and controlling equipment tools and services of the Internet of things for users, has the functions of equipment management, data analysis and processing and good data security, and improves industrial production efficiency.

At present, the foundation of the Internet of things is built and only plays a role in monitoring and alarming, the intelligent degree is low, the labor cost is high, and the production efficiency is low. In the production process of battery products, an intelligent size optimization scheme is one of optimization keys, the existing size optimization process is required to rely on manual analysis after determining bad sizes, and parameters of mechanical arms on a structure are adjusted through manual operation, so that the size of equipment is modified. The intelligent degree of the method is low, the problem can not be effectively solved in time, and the achievement of productivity is affected.

Disclosure of Invention

The invention provides a size optimization method, a size optimization device, a size optimization system and a storage medium, and aims to effectively solve the technical problems that automatic optimization of battery size cannot be realized, manual participation in debugging is required, and the debugging efficiency and the debugging precision are low in the prior art.

According to an aspect of the present invention, there is provided a size tuning method including:

obtaining multiple types of size information among a plurality of single battery cells of a battery pack, wherein each type of size information comprises multiple groups of sub-size information corresponding to the battery cell sizes of the single battery cells;

performing a compensation calculation operation on each type of the size information to obtain a compensation amount, wherein the compensation calculation operation comprises: calculating Cpk indexes of respective corresponding sub-sizes according to the multiple sets of sub-size information, and determining the sub-size corresponding to the minimum Cpk index as a target sub-size if the Cpk indexes meet a first preset condition; if the target sub-size meets a second preset condition, calculating the compensation quantity according to a group of sub-size information corresponding to the target sub-size;

and performing first optimization processing on the plurality of sub-sizes according to the compensation amount obtained by each type of the size information.

Further, the multiple types of dimension information include a first profile dimension, a second profile dimension, and a cell gap dimension;

the first profile dimension is at least two spacings between the battery pack in a first direction from a reference point;

The second contour dimension is at least two intervals between the battery pack and the battery protection plate and the datum point in a second direction;

the cell gap size is the gap distance between two adjacent single cells at a plurality of preset positions.

Further, before the calculating Cpk indexes of the respective corresponding sub-sizes according to the plurality of sets of sub-size information, the size optimizing method further includes:

judging intervals of a plurality of groups of sub-size information, and if the sub-size information is within a first preset interval value, sending alarm information;

and/or if the sub-size information is within a second preset interval value, executing compensation calculation operation.

Further, determining that a plurality of the Cpk indexes meet a first preset condition according to the following method:

judging whether the Cpk index of each sub-size is smaller than a preset Cpk threshold;

and if at least one Cpk index is smaller than the Cpk threshold, determining that the Cpk index meets a first preset condition.

Further, the target sub-size is determined to meet a second preset condition according to the following method:

calculating Cp index and average value of the target sub-size according to a group of sub-size information corresponding to the target sub-size;

Determining that the Cp index is greater than a preset Cp threshold;

and determining that the average value is smaller than or equal to a preset average value threshold value.

Further, the calculating the compensation amount according to the set of sub-size information corresponding to the target sub-size includes:

acquiring a preset standard value corresponding to the average value of the target sub-size;

and calculating a difference between the standard value and the average value, and determining the difference as the compensation amount.

Further, the size tuning method further includes:

and if the compensation quantity is not in the preset numerical value interval, sending alarm information and performing second optimization processing.

Further, after performing the first tuning process on the plurality of sub-sizes according to the compensation amount obtained by each type of the size information, the size tuning method further includes:

determining updated multiple groups of sub-size information according to the size information subjected to the first optimization processing;

calculating an updated Cpk index according to the updated multiple groups of sub-size information;

if the updated Cpk index is greater than the Cpk threshold, the size tuning is successful;

and when at least one updated Cpk index is less than or equal to the Cpk threshold, sending alarm information and performing second optimization processing.

According to another aspect of the present invention, there is also provided a size tuning device, the device comprising:

the device comprises a size acquisition module, a storage module and a storage module, wherein the size acquisition module is used for acquiring multiple types of size information among a plurality of single battery cells of a battery pack, and each type of size information comprises multiple groups of sub-size information corresponding to the battery cell sizes of the single battery cells;

the compensation amount determining module is configured to perform a compensation calculation operation on each type of the size information, and obtain a compensation amount, where the compensation calculation operation includes: calculating Cpk indexes of respective corresponding sub-sizes according to the multiple sets of sub-size information, and determining the sub-size corresponding to the minimum Cpk index as a target sub-size if the Cpk indexes meet a first preset condition; if the target sub-size meets a second preset condition, calculating the compensation quantity according to a group of sub-size information corresponding to the target sub-size;

and the size optimizing module is used for performing first optimizing processing on the plurality of sub-sizes according to the compensation amount acquired by each type of the size information.

According to another aspect of the present invention, there is also provided an electronic apparatus including: at least one processor and memory;

the memory stores computer-executable instructions;

The at least one processor executes the computer-executable instructions stored by the memory, causing the at least one processor to perform any of the sizing methods described above.

According to another aspect of the present invention, there is also provided a computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor to perform any of the size tuning methods described above.

Through one or more of the above embodiments of the present invention, at least the following technical effects can be achieved:

in the technical scheme disclosed by the invention, multiple types of size information among a plurality of single battery cells of a battery pack are acquired, wherein each type of size information comprises multiple groups of sub-size information corresponding to the battery cell sizes of the plurality of single battery cells; performing a compensation calculation operation on each type of size information to obtain a compensation amount, the compensation calculation operation including: calculating Cpk indexes of respective corresponding sub-sizes according to the plurality of sets of sub-size information, and determining the sub-size corresponding to the minimum Cpk index as the target sub-size if the plurality of Cpk indexes meet a first preset condition; if the target sub-size meets a second preset condition, calculating a compensation amount according to a group of sub-size information corresponding to the target sub-size; and performing first optimization processing on the plurality of sub-sizes according to the compensation amount acquired by each type of size information. The intelligent size adjustment scheme can automatically optimize the size of the battery, real-time monitoring of the size is achieved, the corresponding compensation value is calculated by using an algorithm to replace manual analysis and processing errors, the real-time feedback is carried out on the accurate size adjustment of a machine vision or servo module, high-efficiency intelligent size adjustment is achieved, and the size is accurately and efficiently automatically optimized. The problems of untimely error feedback and insufficient accuracy are solved, manual participation can be reduced, cost is saved, and the size is optimized in real time and efficiently. In addition, the data after the adjustment can be added with artificial intelligence to perform deep learning, and the function is continuously enhanced, so that the follow-up scheme is more intelligent.

Drawings

The technical solution and other advantageous effects of the present invention will be made apparent by the following detailed description of the specific embodiments of the present invention with reference to the accompanying drawings.

FIG. 1 is a flow chart of steps of a size tuning method according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a battery size according to an embodiment of the present invention;

FIG. 3 is a schematic flow chart of setting preset conditions according to an embodiment of the present invention;

FIG. 4 is a flow chart of a size tuning method according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of a size tuning device according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

In the description of the present invention, it should be noted that, unless explicitly specified and defined otherwise, the term "and/or" herein is merely an association relationship describing associated objects, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. The character "/" herein generally indicates that the associated object is an "or" relationship unless otherwise specified.

Fig. 1 is a flowchart illustrating steps of a size tuning method according to an embodiment of the present invention, where according to an aspect of the present invention, a size tuning method is provided, and the size tuning method includes:

step 101: obtaining multiple types of size information among a plurality of single battery cells of a battery pack, wherein each type of size information comprises multiple groups of sub-size information corresponding to the battery cell sizes of the single battery cells;

step 102: performing a compensation calculation operation on each type of the size information to obtain a compensation amount, wherein the compensation calculation operation comprises: calculating Cpk indexes of respective corresponding sub-sizes according to the multiple sets of sub-size information, and determining the sub-size corresponding to the minimum Cpk index as a target sub-size if the Cpk indexes meet a first preset condition; if the target sub-size meets a second preset condition, calculating the compensation quantity according to a group of sub-size information corresponding to the target sub-size;

step 103: and performing first optimization processing on the plurality of sub-sizes according to the compensation amount obtained by each type of the size information.

The intelligent size adjustment scheme is used for realizing intelligent adjustment of the size of the battery. Real-time monitoring of APMT (measurement and collection data table) size by a manufacturing information specification system (Manufacturing Message Specification, MMS). The MMS system is a standard, accurate and instant intelligent database system which is specially developed for the production and manufacturing process of the manufacturing industry, and can bring about higher production efficiency and accuracy. The MMS system can be an MES system with corresponding functions, and the measuring machine can also be a CCD or an integrated sensor.

The scheme calculates the corresponding compensation value by using an algorithm, feeds back the compensation value to a machine vision or servo module in real time to accurately adjust the structure, realizes high-efficiency intelligent optimization of the size, and accurately and efficiently automatically optimizes the size. The manual participation can be reduced, the cost is saved, and the dimensional stability is monitored in real time. The above steps S1 to S3 are specifically described below.

In step 101, multiple types of size information among multiple single battery cells of a battery pack are obtained, wherein each type of size information comprises multiple groups of sub-size information corresponding to the battery cell sizes of the multiple single battery cells.

For example, there may be a plurality of unit cells in a battery pack, where the unit cells are arranged according to a preset rule, for example, arranged in parallel, and fig. 2 is a schematic diagram of the battery cells, and two unit cells in fig. 2 are arranged together. The size affecting the battery package is mainly the size of the outer edge of the battery cell and the size of the gap between the battery cells.

As shown in fig. 2, the plurality of cells have a plurality of sizes, for example, a plurality of gap sizes between the first cell and the second cell, which are classified into one type of cell size, that is, one type of cell size has a plurality of sub-size information (s 1-s 5). In order to improve the accuracy of the data, each sub-size corresponds to a group of sub-size information acquired at different times. For example, data acquisition is continuously performed for each of the 5 sub-sizes (s 1-s 5), resulting in 5 sets of sub-size information corresponding to each of s1-s 5.

In general, the multiple types of size information include at least three types: a first profile dimension, a second profile dimension, and a cell gap dimension. The contour dimension represents the distance between the edge of the battery cell and the datum point after the plurality of single battery cells are arranged, wherein the first contour dimension is the dimension distance between the edge of the battery cell and the datum point in the first direction, and the second contour dimension is the dimension distance between the edge of the battery cell and the datum point in the second direction; the cell gap size is the gap distance between two adjacent single cells after a plurality of single cells are arranged.

For example, the battery in fig. 2 has two single cells (a first cell and a second cell) arranged side by side, the top ends of the two single cells are respectively provided with a cell top (head) edge seal, the cell top edge seal is sealed by a PCM plate, one side of the PCM plate is provided with a PCM plate circular hole, and a certain space is reserved between the other side and the cell edge between the second cell. Assuming that a PCM plate circular hole of the battery is taken as a reference point, and coordinates of the reference point are set to be (0, 0), the multi-type dimension information after the plurality of unit cells are arranged includes a first contour dimension (e.g., X1, X2) of an X axis where edges of two ends of the unit cells in a first direction are located from the reference point, and a second contour dimension (e.g., Y1, Y2, Y3) of edges of two ends of the unit cells in a second direction from the reference point in the second direction, wherein the second contour dimension further includes a distance from the PCM plate to a Y axis where the reference point is located in the second direction, and the dimension information further includes a plurality of cell gap dimensions (e.g., s1-s 5) between any two adjacent unit cells (e.g., the first and second unit cells).

To reduce calculation errors, each type of size information needs to be repeatedly collected for a plurality of times, for example, 64 times, so as to obtain 64 groups of data, and then size adjustment is performed according to the 64 groups of data. For example, the cell gap size in fig. 2 is a type of size information, and the cell gap size specifically includes 5 cell gaps (s 1-s 5), i.e., 5 sets of first sub-size information, and 64 times, i.e., size data, are collected for each 1 cell gap. The class of size information includes 5 sets of sub-size information, each set of sub-size information including 64 pieces of size data.

In step 102, a compensation calculation operation is performed on each type of the size information, and a compensation amount is obtained, where the compensation calculation operation includes: calculating Cpk indexes of respective corresponding sub-sizes according to the multiple sets of sub-size information, and determining the sub-size corresponding to the minimum Cpk index as a target sub-size if the Cpk indexes meet a first preset condition; and if the target sub-size meets a second preset condition, calculating the compensation amount according to a group of sub-size information corresponding to the target sub-size.

Illustratively, the size information affected by different workstations is subjected to differentiated debugging by the scheme, so that debugging errors are avoided. The size information in different directions or different types of size information is required to be adjusted and optimized respectively, namely the first contour size, the second contour size and the cell gap size are required to be adjusted and optimized respectively, and the mode of each adjustment is the same.

First, cpk indexes of respective corresponding sub-sizes are calculated according to the plurality of sets of sub-size information.

When acquiring data of the APMT size of an APMT machine by an MMS system, each set of sizes is measured multiple times in order to improve the evaluation accuracy, for example, one set of sub-size information includes 64 pieces of data, i.e. 64 times of measurement of one set of sub-size information, and then the corresponding 64 pieces of sub-size data are obtained.

For each type of size information, the Cpk indexes corresponding to the respective multiple sets of sub-size information are calculated according to the obtained multiple size data, taking the size information in fig. 2 as the cell gap size as an example, assuming that 5 sets of cell gaps exist between two single cells with respect to the cell gap size, the Cpk indexes corresponding to each set of cell gaps need to be calculated, that is, the Cpk indexes corresponding to the cell gaps s1 to s5 are calculated respectively.

There are two important parameters Cpk index and Cp index in the production process to determine if process capacity is meeting requirements. Where Cpk index is process capability index, is process capability in the event of a process excursion, provided that the process is stable and the data is normally distributed, and the data should be above 25 sets (the fewer the data sets the greater the risk). The Cp index is the process capability, which is only applicable to statistically stable processes, is the actual processing capability of the process in a controlled state, is independent of process drift, is the inherent degradation of the process, and is calculated using short-term data in a controlled state.

Wherein the Cpk index value is always less than or equal to the Cp index value. The Cp index for the no-offset case indicates consistency of process work, i.e. "quality ability", the greater the Cp index the greater the quality ability; the Cpk index with the offset condition reflects the offset condition of the process center and the target value, and the greater the Cpk index is, the smaller the offset of the Cpk index and the target value is, and the result of the combination of the process quality capability and the management capability is obtained. The emphasis on both Cp and Cpk indices is different and should be taken into account simultaneously.

And secondly, if the Cpk indexes meet a first preset condition, determining the sub-size corresponding to the minimum Cpk index as a target sub-size.

Illustratively, because the larger the Cpk index, the better the presentation data, if the values of the Cpk index are all higher, the characterization data is not problematic and may be produced directly without tuning. Thus, tuning is premised on the presence of Cpk indices of lower values in the plurality of sub-sizes that do not meet production requirements. Specifically, if at least one Cpk index is less than a preset Cpk threshold, it is determined that the Cpk index meets a first preset condition.

For example, in the 5 cell gaps (s 1-s 5) of fig. 2, the Cpk values of each set of cell gaps are calculated with 64-time acquired dimensional data, respectively, resulting in 5 Cpk indices.

The Cpk index is calculated as follows:

Cpk＝Min[(USL-Mu)/3σ,(Mu-LSL)/3σ]，

wherein USL is an upper limit value of the size, and LSL is a lower limit value of the size. Mu is the average value of the dimensions and sigma is the standard deviation of the dimensions. min [ ] represents taking the minimum value.

And then judging whether each Cpk index is smaller than the Cpk threshold value or not respectively, and if one or more Cpk indexes are smaller than the Cpk threshold value, indicating that the cell size needs to be optimized.

If the compensation amount needs to be calculated, the compensation amount is calculated according to a group of data with the minimum Cpk index, so that the sub-size corresponding to the minimum Cpk index needs to be determined as the target sub-size in a plurality of sub-sizes. For example, the Cpk index with the smallest value is determined from the 5 Cpk indexes corresponding to the 5 cell gaps (s 1-s 5), and the cell gap corresponding to the Cpk index is the target sub-size.

And then judging whether the target sub-size meets a second preset condition, and performing size adjustment when the target sub-size meets the second preset condition. Specifically, when the Cp index is greater than a preset Cp threshold and the average value is equal to or less than a preset average value threshold, it is determined that the target sub-size satisfies a second preset condition. The two parameters judge errors for further determining the size information, and if the errors are smaller, the two parameters can be directly used for production without adjustment; if the error is too large, sending out alarm information, and acquiring data again and automatically adjusting the data after adjusting the data; in the scheme, when the Cp index and the average value meet a second preset condition, the error is determined to be in a reasonable range, and the size is automatically adjusted.

And finally, calculating the compensation quantity according to a group of sub-size information corresponding to the target sub-size, and taking the average value of the target sub-size as the compensation quantity for adjusting the size subsequently. Specifically, a difference between a standard value and an average value of the target sub-size is calculated, and the difference is determined as the compensation amount.

It should be noted that, in this embodiment, there may be another way to obtain the average value as the compensation amount, where when the Cpk index corresponding to the cell size is calculated according to the multiple sets of sub-size information, only the Cpk index is calculated, the Cpk index with the minimum value is determined by comparing the Cpk indexes, the sub-size with the Cpk index with the minimum value is used as the target sub-size, whether the Cp index and the average value of the target sub-size meet the second preset condition is determined, and after the target sub-size meets the second preset condition, the compensation amount is calculated according to the average value corresponding to the target sub-size; in addition, cpk index and average value can be synchronously calculated when Cpk is directly calculated according to multiple groups of sub-size information, so that data can be directly obtained when the subsequent step is needed.

In step 103, a first tuning process is performed on the plurality of sub-sizes according to the compensation amounts obtained by each type of the size information.

For each type of size information, tuning judgment is needed, specifically, first tuning is performed on the plurality of single battery cells according to the compensation amount calculated by each type of size information. If the compensation quantity exists, the size is adjusted according to the compensation quantity, and if the size is too small, the compensation quantity is added to all the sub-sizes; conversely, if the size is too large, the compensation amount is subtracted from all the sub-sizes.

Illustratively, when the size information is the first contour size, the compensation amount calculated by the first contour size is used as the first compensation amount, and the first compensation amounts are used for adjusting and optimizing the X1 and the X2 respectively; when the size information is the second contour size, the compensation quantity obtained through calculation of the second contour size is used as a second compensation quantity, and Y1, Y2 and Y3 are respectively optimized through the second compensation quantity; when the size information is the cell gap size, the compensation quantity obtained through the cell gap size calculation is used as a third compensation quantity, and s1, s2, s3, s4 and s5 are respectively optimized through the third compensation quantity.

After the size is adjusted, the data can be collected again, the steps are repeated, and whether the size reaches the index is judged again.

For example, according to the arrangement of the single cells, various types of size information are determined, if the battery cells are arranged to be cuboid, the length and the width of the cuboid are determined to correspond to the first direction and the second direction respectively, and if the length and the width of the cuboid are perpendicular to each other, a coordinate system as shown in fig. 2 can be established, and a PCM board round hole at one side of the battery is taken as a reference point, namely, an origin of a coordinate axis. And respectively measuring a first contour dimension and a second contour dimension, wherein the first contour dimension is the dimension distance from the edge of the battery cell in the first direction to the datum point in the first direction, and the second contour dimension is the dimension distance from the edge of the battery cell in the second direction to the datum point in the second direction. If the cell periphery further includes other structures, for example, the single cell of the battery in fig. 2 is connected to the PCM plate, the influence of the PCM plate on the installation needs to be considered when the dimension is measured, so in fig. 2, the second contour dimension further includes the dimension from the edge of the PCM plate to the Y axis where the reference point is located in the second direction, and therefore, in fig. 2, the second contour dimension includes Y3, that is, the second contour dimension includes Y1, Y2, and Y3. In practical application, there may be multiple components when packaging the battery cells, and the size type and the number of sizes corresponding to each size are determined according to the layout positions of different components. The invention is not limited in this regard.

The intelligent size adjusting and optimizing method in the scheme can automatically identify size problems, accurately calculate compensation values by means of an algorithm, feed back the compensation values to a machine vision or servo module to adjust the positions of the battery and the BMU plate, ensure size stability, and is higher in the existing intelligent degree compared with the traditional improvement method which needs manual participation. The gap size intelligent tuning can obtain accurate tuning parameters through accurate data analysis, and accurate tuning is achieved.

Illustratively, after acquiring data of the APMT board size by the MMS system, a preliminary determination is made as to whether the size information meets the requirements, before calculating the Cpk index. Specifically, each piece of sub-size information corresponds to a second preset interval value, and whether the collected sub-size information is within the preset second preset interval value is judged. For example, taking the dimension information (s 1-s 5) of the cell gaps as an example, each gap corresponds to a second preset interval value, if there are 64 dimension information in one gap, each dimension information is determined, and if there are a preset number (for example, 1 or 3) of dimension information not in the interval, then it is determined that there is a problem in the sub-dimension information.

The following 3 kinds are classified according to comparison results:

the first is that the information of the sub-size with the preset number is not in the corresponding second preset interval value, the data error is very large, the size is NG, the problem can not be solved through the size adjustment in the control range of the preset standard, the problem needs to be manually processed, the MMS system sends alarm information to the PLC, the machine station alarms, and the problem needs to be manually re-judged and analyzed. The PLC can also be an industrial robot, a servo module and a machine vision;

the second is that the size does not need to be optimized, specifically, all sub-size information or sub-size information less than the preset number are in the corresponding second preset interval value, which indicates that the data error is in the adjustable range, at this time, whether the Cpk index of the size meets the condition or not needs to be further judged, and the size meets the standard and does not need to be adjusted. For example, if the Cpk indexes are all greater than 1.33, the characterization data are all qualified, the MMS generates a calculation log, reserves the calculation log, does not perform compensation action, and circularly collects the data;

and thirdly, the size needs to be adjusted, specifically, all the sub-size information or less than the preset number of sub-size information are in the corresponding second preset interval value, but at least one Cpk index is less than 1.33, and the size is adjusted.

Fig. 3 is a schematic flow chart of setting preset conditions according to an embodiment of the present invention, and first determines whether the Cpk index meets a first preset condition, and then determines whether the Cp index and an average value meet a second preset condition. In order to intuitively embody the judgment process of the preset condition, specific numerical values are used for illustration in fig. 3. As shown in fig. 3, the first preset condition is met when the Cpk index of at least one sub-size is less than a preset Cpk threshold (1.33); and then determining the minimum Cpk index as a target sub-size, and if the Cp index corresponding to the target sub-size is greater than a preset Cp threshold (1.67) and the average Mean corresponding to the target sub-size is less than or equal to an average threshold, for example, 10% (USL-LSL), wherein USL is the upper limit value of the size and LSL is the lower limit value of the size, then the target sub-size meets a second preset condition.

Wherein Cp is used to measure structural stability, cpk is used to measure data stability, and Cp and Cpk are all the better the larger.

Taking fig. 3 as an example, if Cpk of all sub-sizes is equal to or greater than 1.33, the characterization size is better, tuning is not needed, production can be directly carried out according to the current size, a calculation log is generated through MMS, the calculation log is reserved for storage, compensation action is not carried out, and data are circularly collected.

When Cpk is less than 1.33, the difference of the data values representing the corresponding sub-sizes is obvious, at the moment, cp indexes are required to be further judged, if the Cp indexes are also poor, such as Cp is less than or equal to 1.67, the characterization stability is poor, namely the data error is overlarge, the readjustment necessity is avoided, and the automatic tuning is abandoned, and a second tuning process, such as manual intervention for adjusting the sizes, is performed;

when Cpk <1.33 and Cp >1.67, the stability of the device structure is good although the difference in data values is significant. In this case, only the problem that the actual average value of the size data is greatly different from the theoretical average value is solved, and the method is suitable for size adjustment, but needs to further judge whether the average value corresponding to the target sub-size meets the requirement or not, namely, determining that the Mean value Mean is smaller than or equal to the average value threshold value;

when Cpk is less than 1.33 and Cp is more than 1.67 and Mean is less than or equal to 10 percent (USL-LSL), the three parameters meet the preset condition, the first optimization treatment is carried out, the compensation quantity of the size information is calculated by using the average value corresponding to the target sub-size, and the size correction is carried out according to the calculated compensation quantity.

How the parameters are determined to satisfy the preset conditions is described below in connection with fig. 2:

determining that at least one Cpk index is less than 1.33 in the 5 gaps s1-s5 in FIG. 2, i.e., the first preset condition is satisfied;

assuming that the Cpk value of the gap s2 is minimum, s2 is the target sub-size, and if the Cp index of s2 is greater than 1.67 and the Mean of s2 is less than or equal to 10%, the second preset condition is satisfied, and the first tuning process is performed.

According to the scheme, cp and Cpk indexes are calculated and compared, the size which is needed to be optimized is accurately obtained, simulation calculation is performed before the compensation value is synchronously transmitted, the fact that other adjusted sizes are not abnormal is ensured, the algorithm logic is accurate and precise, and the error probability is low.

Wherein the average threshold value may be calculated according to the following method:

acquiring an upper limit value and a lower limit value of the battery cell size corresponding to the target sub-size;

calculating a limit difference value according to the upper limit value and the lower limit value;

and multiplying the preset coefficient by the limiting difference value to obtain an average value threshold value.

For example, in designing the dimensions, in order to prevent large errors, a range interval is determined for each dimension according to an upper limit value (USL) and a lower limit value (LSL), and the data needs to be determined in advance and stored in a data storage space, and can be directly acquired in automatic tuning. And then calculating the difference between the upper limit value and the lower limit value to obtain a limit difference.

And determining a coefficient preset in advance, such as 10%, if more accurate size data is needed, reducing the coefficient, and finally multiplying the coefficient by a limiting difference value to obtain the average value threshold, for example, the average value threshold is (USL-LSL) 10%.

Further, the size tuning method further includes:

Illustratively, for each cell size, there is a standard value in addition to the upper and lower values (USL) described above. The compensation amount x is the difference between the standard value and the target average value. Specifically, the compensation value x of the size is calculated by MMS, and the compensation amount x=target average Mean-standard value.

After the compensation amount is calculated, it may be further determined whether the value of the compensation amount is out of range. If the compensation amount is larger, the size error is larger, and the second tuning process, such as manual process, is performed. If the compensation value is within the preset numerical value interval, the adjustment amount is smaller, the system performs analog calculation within the specified range, the compensated size is input into the calculation again, and whether the compensated size information meets the requirement is judged.

Illustratively, to ensure the reliability of the data, it is determined whether the compensated dimensions meet the requirements, and the Cpk index of each dimension is calculated again, for example, if each Cpk is greater than 1.33, it indicates that the compensated dimension is acceptable and the dimension tuning is successful. And then feeding back the compensation value to a cell positioning PLC, receiving the compensation value by the PLC and sending the compensation value to a robot, adjusting the size by the robot, and circularly collecting data after the compensation is completed. If the system is in other states, the system indicates that tuning fails, for example, the Cp index of the compensated size is smaller than 1.67, or the compensation value x is out of a specified range, or the Cpk index calculated by the simulation of the system is smaller than 1.33, and the system can send alarm information and needs to perform second tuning processing, for example, manual re-judging processing.

According to the scheme, the size can be monitored and adjusted in real time, analysis and improvement are performed after bad batch performance is avoided, the NG problem can be more rapidly solved, the cost is saved, the average processing time required by manual analysis and improvement is 15min, the intelligent tuning response time is less than 1min, and the system has high efficiency.

Example 1

Fig. 4 is a flowchart of a size optimizing method according to an embodiment of the present invention, assuming that the adjusted size is the gap size in fig. 2, the data obtained at a time is 64 sets, and first, the characteristic parameters of the cell gap size including Cpk index, cp index and average value are calculated according to the 64 sets of data.

It is determined whether the Cpk index of the 5 gaps are all greater than 1.33. If the data are larger than 1.33, MMS generates a calculation log, reserves the calculation log, does not perform compensation action, and circularly collects the data.

If at least one Cpk index is smaller than 1.33, the smallest Cpk size is taken, and the corresponding characteristic parameter is determined as the target characteristic parameter.

And judging whether Cp in the target characteristic parameters is larger than 1.67, if so, continuing to perform offset judgment, calculating whether the target average value is smaller than or equal to an average value threshold value, for example, mean is smaller than or equal to 10 percent (USL-LSL), and if the conditions are met, performing MMS to calculate a compensation value x, wherein x=the target average value-standard value, and further judging whether the compensation value is in a specified range.

If the compensation value is within the specified range, the system conducts simulation calculation preferentially, whether Cpk of the overall size after compensation is larger than 1.33 is calculated, if yes, the compensation value is fed back to the cell positioning PLC, the PLC receives the compensation value and sends the compensation value to the robot, the robot adjusts the cell gap, compensation is completed, and the acquisition cycle is completed.

If the compensation value x exceeds the specified range, or the size Cp is less than 1.67, or the system analog calculation Cpk is less than 1.33, the tuning is unsuccessful, the system will send an alarm signal, and a second tuning process, such as a manual re-judgment process, is needed.

Based on the same inventive concept as a size tuning method of the embodiment of the present invention, the embodiment of the present invention provides a size tuning device, please refer to fig. 5, which includes:

a size obtaining module 201, configured to obtain multiple types of size information between multiple unit cells of a battery pack, where each type of size information includes multiple sets of sub-size information corresponding to cell sizes of the multiple unit cells;

a compensation amount determining module 202, configured to perform a compensation calculation operation on each type of the size information, and obtain a compensation amount, where the compensation calculation operation includes: calculating Cpk indexes of respective corresponding sub-sizes according to the multiple sets of sub-size information, and determining the sub-size corresponding to the minimum Cpk index as a target sub-size if the Cpk indexes meet a first preset condition; if the target sub-size meets a second preset condition, calculating the compensation quantity according to a group of sub-size information corresponding to the target sub-size;

and the size tuning module 203 is configured to perform a first tuning process on the plurality of sub-sizes according to the compensation amounts obtained by each type of the size information.

Further, before the calculating Cpk indexes of the respective corresponding sub-sizes according to the plurality of sets of sub-size information, the apparatus is further configured to:

Further, the compensation amount determining module 202 is further configured to:

Determining that the Cp index is greater than a preset Cp threshold;

Further, the device is further configured to:

Further, after performing the first tuning process on the plurality of sub-sizes according to the compensation amount obtained by each type of the size information, the apparatus is further configured to:

Other aspects and implementation details of the size tuning device are the same as or similar to those of the size tuning method described above, and are not described herein.

Based on the same inventive concept as a size tuning method of the embodiment of the present invention, the embodiment of the present invention provides an electronic device, including: at least one processor and memory;

the memory stores computer-executable instructions;

the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the sizing method as described in any of the above.

According to another aspect of the present invention there is also provided a storage medium having stored therein a plurality of instructions adapted to be loaded by a processor to perform any of the size tuning methods described above.

In summary, although the present invention has been described in terms of the preferred embodiments, the preferred embodiments are not limited to the above embodiments, and various modifications and changes can be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention is defined by the appended claims.

Claims

1. A size tuning method, characterized in that the size tuning method comprises:

2. The sizing method according to claim 1, wherein,

the multiple types of size information comprise a first contour size, a second contour size and a cell gap size;

3. The sizing method of claim 1, wherein prior to said calculating Cpk indexes of respective corresponding sub-sizes from the plurality of sets of sub-size information, the sizing method further comprises:

4. The size tuning method of claim 1, wherein the plurality of Cpk indexes are determined to satisfy a first preset condition according to the following method:

5. The sizing method of claim 1, wherein the target sub-size is determined to satisfy a second preset condition according to the following method:

determining that the Cp index is greater than a preset Cp threshold;

6. The size tuning method of claim 4, wherein the calculating the compensation amount according to the set of sub-size information corresponding to the target sub-size comprises:

7. The sizing method of claim 1, wherein the sizing method further comprises:

8. The size tuning method as claimed in claim 1, wherein after performing a first tuning process on the plurality of sub-sizes according to the compensation amount obtained for each type of the size information, the size tuning method further comprises:

9. A size tuning device, the device comprising:

10. An electronic device, comprising: at least one processor and memory;

the memory stores computer-executable instructions;

the at least one processor executing computer-executable instructions stored in the memory, causing the at least one processor to perform the size tuning method of any one of claims 1 to 8.

11. A computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor to perform the size tuning method according to any one of claims 1 to 8.