Lithium ion battery matching method, electronic device and storage medium

Abstract

The application provides a lithium ion battery grouping method, an electronic device and a storage medium. The method comprises: collecting test data of each grouping index of a plurality of to-be-grouped batteries; for each grouping index, determining the maximum value, the minimum value and the minimum unit of the index in the test data; based on the minimum unit of the index corresponding to the grouping index and a reference value, converting the test data of each to-be-grouped battery under the grouping index into a sequence value; wherein the reference value is the maximum value or the minimum value; based on the sequence value of each to-be-grouped battery corresponding to each grouping index and the priority of each grouping index, determining the total sequence value of each to-be-grouped battery; determining the target sequence value of each grouping index based on the preset grouping target difference value of each grouping index, and grouping the plurality of to-be-grouped batteries based on the target sequence value of each grouping index and the total sequence value of each to-be-grouped battery. The application can effectively improve the overall use performance of the grouped battery pack.

Description

Technical Field

[0001] This application belongs to the field of lithium-ion battery technology, and particularly relates to a lithium-ion battery packing method, electronic device and storage medium. Background Technology

[0002] With economic development and social progress, lithium-ion batteries have been widely used in various production and daily life scenarios due to their high specific energy, lack of memory effect, and long cycle life. Lithium-ion batteries are usually used in series and parallel to form battery packs. The consistency between individual cells is very important during the packing process, as it can greatly affect the overall performance of the battery pack. Therefore, various packing methods have been proposed to improve the consistency of the packed batteries.

[0003] The conventional battery grouping method involves selecting grouping criteria, testing each battery and collecting data, dividing the criterion ranges based on the distribution of the data, and then directly grouping batteries that meet the criteria ranges. However, the battery grouping in the conventional method is random. After grouping, the consistency between individual batteries is only a relative consistency in meeting the criterion ranges. Such consistency has a limited and uncontrollable impact on the overall performance of the battery pack. Therefore, such battery packs cannot achieve optimal performance in real-world applications. Summary of the Invention

[0004] This application provides a lithium-ion battery packing method, electronic device, and storage medium to optimize the overall performance of the battery pack.

[0005] This application is achieved through the following technical solution:

[0006] In a first aspect, embodiments of this application provide a lithium-ion battery grouping method, comprising: collecting test data of multiple batteries to be grouped under various grouping indicators; for each grouping indicator, determining the maximum value, minimum value, and minimum unit of the test data of the multiple batteries to be grouped under the grouping indicator; based on the minimum unit and reference value corresponding to the grouping indicator, converting the test data of each battery to be grouped under the grouping indicator into a corresponding sequence value; wherein the reference value is the maximum value or the minimum value; determining the total sequence value of each battery to be grouped based on the sequence value of each grouping indicator corresponding to each battery to be grouped and the priority of each grouping indicator; determining the target sequence value of each grouping indicator based on the preset grouping target difference of each grouping indicator; and grouping the multiple batteries to be grouped based on the target sequence value of each grouping indicator and the total sequence value of each battery to be grouped.

[0007] In conjunction with the first aspect, in some embodiments, the step of converting the test data of each battery to be paired under the pairing index into a corresponding sequence value based on the minimum unit and reference value of the pairing index includes: if the pairing index is an index where a larger value indicates better battery performance, then the reference value corresponding to the pairing index is the minimum value of the pairing index; calculating the difference between the test data of each battery to be paired under the pairing index and the minimum value of the pairing index, and taking the quotient of the difference corresponding to each battery to be paired and the minimum unit of the pairing index as the sequence value of the pairing index corresponding to each battery to be paired; if the pairing index is an index where a smaller value indicates better battery performance, then the reference value corresponding to the pairing index is the maximum value of the pairing index; calculating the difference between the maximum value of the pairing index and the test data of each battery to be paired under the pairing index, and taking the quotient of the difference corresponding to each battery to be paired and the minimum unit of the pairing index as the sequence value of the pairing index corresponding to each battery to be paired.

[0008] In conjunction with the first aspect, in some embodiments, determining the total sequence value of each battery to be paired based on the sequence values ​​of each pairing index corresponding to each pairing index and the priority of each pairing index includes: for each pairing index, taking the quotient of the difference between the maximum and minimum values ​​of the pairing index and the minimum unit of the pairing index as the actual length of the pairing index; determining the coefficient corresponding to each pairing index based on the priority of each pairing index and the actual length of each pairing index; and for each battery to be paired, taking the sum of the products of the sequence values ​​of each pairing index corresponding to the battery to be paired and their coefficients as the total sequence value of the battery to be paired.

[0009] In conjunction with the first aspect, in some embodiments, determining the coefficient corresponding to each pairing indicator based on the priority of each pairing indicator and the actual length of each pairing indicator includes: determining the coefficient corresponding to the pairing indicator with the lowest priority as 1 among multiple pairing indicators; and determining the coefficient corresponding to each of the remaining pairing indicators as the product of the actual lengths of each pairing indicator with a lower priority than the pairing indicator.

[0010] In conjunction with the first aspect, in some embodiments, determining the target sequence value of each pairing indicator based on the preset target difference of each pairing indicator includes: for each pairing indicator, taking the quotient of the preset target difference of the pairing indicator and the smallest unit of the indicator as the target sequence value of the pairing indicator.

[0011] In conjunction with the first aspect, in some embodiments, the step of grouping the plurality of batteries to be paired based on the target sequence values ​​of each pairing index and the total sequence value of each battery to be paired includes: sorting the plurality of batteries to be paired in descending order of total sequence value to obtain a pairing queue; and, based on the pairing queue, grouping the plurality of batteries to be paired according to the target sequence values ​​of each pairing index, the sequence values ​​of each pairing index corresponding to each battery to be paired, and a preset quantity; wherein the preset quantity is the number of batteries in each battery group.

[0012] In conjunction with the first aspect, in some embodiments, the step of grouping the multiple batteries to be paired based on the queue of batteries to be paired, according to the target sequence values ​​of each pairing indicator, the sequence values ​​of each pairing indicator corresponding to each battery to be paired, and a preset quantity, includes: starting from the first battery to be paired in the current queue, selecting the preset number of batteries to be paired as a battery group to be paired; for each pairing indicator, calculating the difference between the maximum and minimum values ​​of the sequence values ​​of the pairing indicator corresponding to each battery to be paired in the battery group to be paired; if the difference corresponding to each pairing indicator in the battery group to be paired is less than its respective target sequence value, then the battery group to be paired is determined to be successfully paired; and the batteries to be paired are then... If a battery group is removed from the queue of batteries to be paired, and the number of batteries in the queue after removal is greater than the preset number, then the process jumps to the step of "selecting the preset number of batteries to be paired as a battery group to be formed, starting from the first battery in the current queue of batteries to be paired". If the difference corresponding to at least one pairing index in the battery group to be formed is greater than or equal to its own target sequence value, then the first battery in the current queue of batteries to be paired is removed from the current queue of batteries to be paired. If the number of batteries in the queue after removal is greater than the preset number, then the process jumps to the step of "selecting the preset number of batteries to be paired as a battery group to be formed, starting from the first battery in the current queue of batteries to be paired".

[0013] In conjunction with the first aspect, in some embodiments, the priority of each pairing indicator is determined based on the target application scenario of the plurality of batteries to be paired; the pairing indicators include voltage, internal resistance, capacity, and K-value; if the target application scenario of the plurality of batteries to be paired is a long-term storage scenario, then the priority of each pairing indicator from low to high is capacity, internal resistance, voltage, and K-value; if the target application scenario of the plurality of batteries to be paired is a power tool power supply scenario, then the priority of each pairing indicator from low to high is capacity, voltage, K-value, and internal resistance; if the target application scenario of the plurality of batteries to be paired is a digital product power supply scenario, then the priority of each pairing indicator from low to high is internal resistance, K-value, voltage, and capacity.

[0014] Secondly, embodiments of this application provide a lithium-ion battery pairing device, comprising: a data acquisition module for acquiring test data of multiple batteries to be paired under various pairing indicators; a sequence value conversion module for determining, for each pairing indicator, the maximum value, minimum value, and minimum unit of the test data of the multiple batteries to be paired under that pairing indicator; and converting the test data of each battery to be paired under that pairing indicator into a corresponding sequence value based on the minimum unit and reference value corresponding to that pairing indicator; wherein the reference value is the maximum value or the minimum value; a total sequence value calculation module for determining the total sequence value of each battery to be paired based on the sequence values ​​of each pairing indicator corresponding to each battery to be paired and the priority of each pairing indicator; and a battery pairing module for determining the target sequence value of each pairing indicator based on a preset pairing target difference of each pairing indicator, and pairing the multiple batteries to be paired based on the target sequence values ​​of each pairing indicator and the total sequence value of each battery to be paired.

[0015] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the lithium-ion battery packing method as described in any of the first aspects.

[0016] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the lithium-ion battery packing method as described in any of the first aspects.

[0017] Fifthly, embodiments of this application provide a computer program product that, when run on an electronic device, causes the electronic device to execute the lithium-ion battery packing method described in any of the first aspects above.

[0018] The advantages of the embodiments in this application compared with related technologies are:

[0019] This application provides a lithium-ion battery grouping method, electronic device, and storage medium. First, using the minimum unit and reference value of each grouping index corresponding to the batteries to be grouped, the test data of each battery under each grouping index is converted into corresponding sequence values. The reference value for each grouping index is the maximum or minimum value among the test data under that index. Then, based on the sequence values ​​of each grouping index corresponding to each battery and the priority of each grouping index, the total sequence value of each battery to be grouped is determined. Based on the preset target difference of each grouping index, the target sequence value of each grouping index is determined. Finally, multiple batteries to be grouped are grouped based on the target sequence values ​​of each grouping index and the total sequence value of each battery to be grouped. In this way, during the battery pairing process, a total sequence value is set for each battery to be paired, taking into account the priority of each pairing index. Based on the total sequence value of each battery to be paired and the target sequence value of each pairing index, multiple batteries to be paired are paired. This not only improves the consistency of each battery pack, but also enables the battery pack to achieve a relatively higher consistency under the pairing index with higher priority, effectively optimizing the overall performance of the battery pack.

[0020] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this specification. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic flowchart of a lithium-ion battery packing method provided in an embodiment of this application;

[0023] Figure 2 This is a flowchart of a process for grouping multiple batteries to be matched, provided in one embodiment of this application;

[0024] Figure 3 This is a test data distribution diagram of voltage indicators provided in an embodiment of this application;

[0025] Figure 4 This is a test data distribution diagram of the internal resistance index provided in an embodiment of this application;

[0026] Figure 5 This is a test data distribution diagram of the capacity index provided in one embodiment of this application;

[0027] Figure 6 This is a schematic diagram of the structure of a lithium-ion battery assembly device provided in one embodiment of this application;

[0028] Figure 7 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0029] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0030] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0031] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection."

[0032] References to "one embodiment" or "some embodiments" in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, phrases such as "in one embodiment," "in some embodiments," "in one possible implementation," and "in other embodiments" appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0033] Conventional battery pairing methods first define a broad range of performance indicators based on the distribution of test data, then randomly combine all batteries that meet the required range according to the amount of battery data needed for each group. This results in randomness in the resulting battery packs, and the consistency between individual cells remains insufficient. Furthermore, conventional pairing methods do not adequately consider the actual usage scenarios of the battery packs. For example, the impact of different battery pairing indicators on actual battery performance varies across different target application scenarios. Therefore, battery packs paired using conventional methods will perform differently in different target application scenarios, making it impossible to guarantee optimal performance for every paired battery pack in the target application.

[0034] To address the aforementioned issues, the lithium-ion battery grouping method in this application first converts the test data of each battery to be grouped under each grouping index into corresponding sequence values ​​based on the minimum unit and reference value of each grouping index corresponding to the battery to be grouped. The reference value for each grouping index is the maximum or minimum value among the test data under that index. Then, based on the sequence values ​​of each grouping index corresponding to each battery to be grouped and the priority of each grouping index, the total sequence value of each battery to be grouped is determined. Based on the preset target difference for each grouping index, the target sequence value of each grouping index is determined. Finally, multiple batteries to be grouped are grouped based on the target sequence values ​​of each grouping index and the total sequence value of each battery to be grouped. In this way, during the battery pairing process, a total sequence value is set for each battery to be paired, taking into account the priority of each pairing index. Then, based on the total sequence value of each battery to be paired and the target sequence value of each pairing index, multiple batteries to be paired are paired. This not only improves the consistency of each battery group, but also enables the consistency of the battery group under the higher priority pairing index to achieve a relatively higher improvement effect, thus improving the performance of the battery group in a targeted manner.

[0035] In this embodiment, all matching indicators that need to be considered in the current target application scenario can be evaluated to determine the priority order of indicators suitable for the current target application scenario. The priority of the matching indicators can represent the degree of influence of different matching indicators on the actual application performance of the battery. Therefore, referring to the priority of the matching indicators during the matching process is equivalent to selectively controlling the performance of the battery pack, so that the overall performance of the matched battery pack is more suitable for the target application scenario, thereby achieving better usage results.

[0036] Figure 1 This is a schematic flowchart of a lithium-ion battery packing method provided in an embodiment of this application, referred to... Figure 1 The detailed description of this lithium-ion battery packing method is as follows:

[0037] S101 collects test data of multiple batteries to be paired under various pairing indicators.

[0038] Optionally, the above-mentioned pairing indicators include, but are not limited to, battery indicators such as voltage, internal resistance, capacity, and K-value.

[0039] In this embodiment of the application, the battery to be paired refers to a single battery cell used for battery pairing.

[0040] S102, for each pairing index, determine the maximum value max, minimum value min, and minimum unit ras of the test data of multiple batteries to be paired under the pairing index; based on the minimum unit ras and reference value corresponding to the pairing index, convert the test data of each battery to be paired under the pairing index into the corresponding sequence value; wherein, the reference value is the maximum value max or the minimum value min.

[0041] It should be noted that for pairing indicators with integer test data values, the smallest unit of the indicator, ras, has a value of 1; for pairing indicators with decimal test data values, the smallest unit of the indicator, ras, is the counting unit of the test data value. For example, if the test data range for the voltage of a batch of batteries to be paired is 3.842V-3.859V, then the smallest unit of the voltage indicator here is 0.001V. As another example, if the test data range for the capacity of a batch of batteries to be paired is 1800mAh-1900mAh, then the smallest unit of the capacity indicator here is 1mAh.

[0042] In some embodiments, the process of converting the test data of each battery to be paired under the pairing index into corresponding sequence values ​​based on the minimum unit and reference value of the matching index in step S102 may include:

[0043] If a pairing index indicates better battery performance with a higher value, then the reference value for that index is its minimum value (min). The difference between the test data of each battery to be paired under that index and the minimum value (min) is calculated. The quotient of this difference for each battery to be paired and the minimum unit (ras) of the index is taken as the sequence value of that index for each battery to be paired. That is, the sequence value of the pairing index = (test data of the pairing index - minimum value (min)) / minimum unit (ras) of the index. For example, if the test data for the voltage index of a battery to be paired is 3.853V and the minimum value is 3.849V, then the test data for the voltage index of the battery to be paired can be converted into the sequence value V. n = (3.853-3.849) / 0.001 = 4.

[0044] If a pairing index indicates better battery performance with a smaller value, then the reference value for that index is its maximum value (max). The difference between the maximum value (max) and the test data for each battery to be paired under that index is calculated. The quotient of this difference for each battery to be paired and the minimum unit (ras) of the index is taken as the sequence value of that index for each battery to be paired. That is, the sequence value of the pairing index = (maximum value (max) - test data for the pairing index) / minimum unit (ras) of the pairing index. For example, if the internal resistance test data for a battery to be paired is 21.2 mΩ and the maximum internal resistance value is 22.9 mΩ, then the internal resistance test data for that battery can be converted into the sequence value R of the internal resistance index. n = (22.9-21.2) / 0.01 = 17.

[0045] S103, based on the sequence values ​​of each pairing index corresponding to each battery to be paired and the priority of each pairing index, determine the total sequence value of each battery to be paired.

[0046] The priority of each battery pack pairing indicator can be determined based on the target application scenarios of the multiple battery packs to be paired. Target application scenarios may include, but are not limited to, long-term storage scenarios, power tool power supply scenarios, and digital product power supply scenarios. For example, a long-term storage scenario could refer to a scenario where the paired battery pack is used as a backup power source, a power tool power supply scenario could refer to a scenario where the paired battery pack is used as a power source for power tools, and a digital product power supply scenario could refer to a scenario where the paired battery pack is used as a power source for digital products.

[0047] For example, if the target application scenario for multiple batteries to be paired is long-term storage, such as when the paired battery pack is used as a backup power source and the battery pack is not used for a long time and is in a static state, the consistency of self-discharge of the batteries during pairing is extremely important. Otherwise, the voltage consistency of each string of batteries will be problematic after long-term storage. Therefore, in this application scenario, the priority of each pairing index can be set from low to high as capacity, internal resistance, voltage, and K value.

[0048] For example, if the target application scenario for multiple batteries to be paired is the power supply scenario for power tools, such as when the paired battery pack is used as a power source for power tools, the consistency of the internal resistance of the batteries is extremely important because the battery pack uses a large current. In this application scenario, the priority of each pairing index can be set from low to high as capacity, voltage, K value, and internal resistance.

[0049] For example, if the target application scenario for multiple battery packs to be matched is a power supply scenario for digital products, such as when the matched battery pack is used as a power source for digital products, the consistency of capacity among the individual battery strings has a significant impact because the current used by the battery pack is not large and it is used frequently. In this application scenario, the priority of each matching indicator can be set from low to high as internal resistance, K-value, voltage, and capacity. In other target application scenarios not mentioned in the embodiments of this application, those skilled in the art can determine specific matching indicators according to the actual use scenario and determine the priority of each matching indicator according to the needs of the actual application scenario. It is understood that the capacity, voltage, K-value, internal resistance, and other indicators mentioned in the embodiments of this application are only illustrative examples and are not intended to limit the type and number of matching indicators.

[0050] In some embodiments, step S103 can be implemented by steps S201 to S203:

[0051] S201, for each pairing indicator, the quotient of the difference between the maximum value (max) and the minimum value (min) of the pairing indicator and the minimum unit (ras) of the pairing indicator is taken as the actual length L of the pairing indicator. That is, the actual length L of each pairing indicator = (maximum value (max) of the pairing indicator - minimum value (min) of the pairing indicator) / minimum unit (ras) of the pairing indicator.

[0052] S202, based on the priority of each pairing index and the actual length L of each pairing index, determine the coefficient corresponding to each pairing index.

[0053] In one possible implementation, among multiple pairing indicators, the coefficient corresponding to the pairing indicator with the lowest priority is determined to be 1; the coefficient corresponding to each of the remaining pairing indicators is determined to be the product of the actual lengths of each pairing indicator with a lower priority than the pairing indicator.

[0054] S203, for each battery group to be matched, the sum of the products of the sequence values ​​of each matching index corresponding to the battery group and its coefficient is taken as the total sequence value S of the battery group to be matched. n .

[0055] The total sequence value S of each battery group to be matched n It can be calculated using the following formula:

[0056] S n = Lowest priority indicator sequence value + Second lowest priority indicator sequence value * Lowest priority indicator length + Second lowest priority indicator sequence value * Second lowest priority indicator length * Lowest priority indicator length + ... + Highest priority indicator sequence value * Second highest priority indicator length * ... * Lowest priority indicator length. That is, the total sequence value S. n The mathematical formula for calculation is:

[0057]

[0058]

[0059] Among them, T n,i Let A be the sequence value of the i-th priority index corresponding to the n-th battery group to be matched. i Let L be the coefficient corresponding to the i-th priority indicator, and M be the priority number corresponding to the highest priority indicator. The order of priority numbers 1 to M represents the order of priority from low to high. k This represents the actual length of the k-th priority index, where k is an integer.

[0060] For example, if we consider four pairing criteria, ranked from lowest to highest as priority criterion 1, priority criterion 2, priority criterion 3, and priority criterion 4, i.e., M = 4, then the total sequence value S2 = T for the second battery to be paired. 2,1 A1+T 2,2 A2+T 2,3 A3+T 2,4 A4, where A1 = 1, A2 = L1, A3 = L1 × L2, A4 = L1 × L2 × L3.

[0061] For example, in one embodiment, the priority of each pairing index, from low to high, is capacity, internal resistance, and voltage. Therefore, the total sequence value of each battery to be paired is equal to the sequence value C of the capacity index. n +Sequence value R of the internal resistance index n * Actual length L of capacity index C + Voltage index sequence value V n *The actual length L of the internal resistance index R * Actual length L of capacity index C .

[0062] S104, based on the preset target difference of each pairing index, determine the target sequence value of each pairing index, and pair multiple batteries to be paired based on the target sequence value of each pairing index and the total sequence value of each battery to be paired.

[0063] In this embodiment, for a battery pack pairing index, the target difference refers to the difference in the index range of each battery pack group under that pairing index. The target difference is a parameter used to ensure the consistency between individual cells in the battery pack. For example, in some embodiments, the voltage index requirement for battery pairing includes a voltage difference of 0.005V between each battery pack group. That is, the maximum difference between the voltage test data of each battery pack group must be less than 0.005V. If the maximum voltage of a battery pack group is 3.945V and the minimum voltage is 3.942V, then the actual voltage difference of that battery pack group is 0.003V, which is less than 0.005V. Therefore, the actual voltage difference of that battery pack group meets the target difference requirement.

[0064] In some embodiments, the method for determining the target sequence value of each pairing index based on the preset target difference of each pairing index in step S104 can be as follows: For each pairing index, the quotient of the preset target difference of the pairing index and the minimum unit ras of the pairing index is taken as the target sequence value of the pairing index. That is, the target sequence value of the pairing index = the target difference of the pairing index / the minimum unit ras of the pairing index. For example, if the target difference of the voltage index is 0.005V, then the target sequence value of the voltage index = 0.005 / 0.001 = 5.

[0065] In some embodiments, the implementation of grouping multiple batteries to be matched based on the target sequence value of each matching index and the total sequence value of each battery to be matched in step S104 may include:

[0066] S301, sort the multiple battery groups to be matched in descending order of total sequence value to obtain the queue of battery groups to be matched.

[0067] S302, based on the queue of batteries to be matched, according to the target sequence value of each matching index, the sequence value of each matching index corresponding to each battery to be matched, and the preset quantity, multiple batteries to be matched are matched; wherein, the preset quantity is the number of batteries in each battery group.

[0068] In one possible implementation, see [link to implementation details]. Figure 2 The implementation process of step S302 is as follows:

[0069] Step 1: Starting from the first battery in the current queue of batteries to be paired, select a preset number of batteries to be paired as a battery pack to be formed.

[0070] Step 2: For each pairing index, calculate the difference between the maximum and minimum values ​​of the sequence values ​​of the pairing index for each battery in the battery pack to be paired.

[0071] Step 3: If the difference between the pairing indicators of each battery pack to be paired is less than its respective target sequence value, then the battery pack to be paired is successfully paired; remove the battery pack to be paired from the pairing queue. If the number of batteries to be paired in the pairing queue after removal is greater than the preset number, then jump to step 1.

[0072] Step 4: If the difference between at least one pairing index in the battery pack to be paired is greater than or equal to its own target sequence value, then the first battery to be paired in the current pairing queue is removed from the current pairing queue. If the number of batteries to be paired in the pairing queue after removal is greater than the preset number, then jump to step 1.

[0073] The following provides a specific embodiment to illustrate the above-described lithium-ion battery packing method:

[0074] This specific embodiment provides 25 sample batteries of model number 654167-2000mAh, i.e., 25 batteries to be matched. Three matching indicators were selected: voltage, internal resistance, and capacity. First, each cell was numbered, and the discharge capacity C was recorded. After capacity matching, room temperature aging was performed. After aging, the battery voltage V and battery internal resistance R were tested. The test data were recorded according to the corresponding battery number, as shown in Table 1.

[0075] Table 1 Test data of batteries to be paired under various pairing indicators.

[0076] Battery number Voltage V (V) Internal resistance R (mΩ) Capacity C (mAh) C01 3.853 21.2 2005 C02 3.849 21.7 2011 C03 3.851 20.6 2002 C04 3.855 22.9 2018 C05 3.850 21.4 2015 C06 3.855 22.6 2017 C07 3.855 22.0 2016 C08 3.852 20.2 2006 C09 3.853 21.6 2010 C10 3.854 21.7 2018 C11 3.851 20.2 2001 C12 3.852 21.2 2002 C13 3.854 21.9 2008 C14 3.856 21.0 2011 C15 3.855 22.2 2013 C16 3.857 22.0 2014 C17 3.851 20.3 2002 C18 3.855 22.2 2019 C19 3.851 21.2 2002 C20 3.858 21.0 2012 C21 3.853 21.9 2005 C22 3.851 20.8 2001 C23 3.852 21.2 2003 C24 3.853 21.2 2006 C25 3.853 21.2 2006

[0077] In this specific embodiment, the paired battery packs are used in a long-term storage scenario where high voltage consistency is required after aging. Therefore, the priority of the pairing indicators, from lowest to highest, is determined as capacity, internal resistance, and voltage. The target differences for each pairing indicator are a voltage difference of 0.005V, an internal resistance difference of 3mΩ, and a capacity difference of 20mAh. Each group consists of 5 batteries, i.e., the preset quantity is 5.

[0078] The maximum value (max), minimum value (min), minimum value unit (ras), and index length (L) of the test data of the 25 batteries to be paired were calculated under each pairing index. The calculated values ​​of each pairing index are shown in Table 2.

[0079] Table 2 shows the calculated values ​​of each grouping index.

[0080] Voltage V (V) Internal resistance R (mΩ) Capacity C (mAh) max 3.858 22.9 2019 min 3.849 20.2 2001 ras 0.001 0.1 1 L 9 27 18

[0081] Based on max, min, and ras in Table 2, the test data of each pairing index of the batteries to be paired are converted into sequence values ​​of each pairing index according to the method in step S102 above. For an index where a larger value indicates better battery performance, the sequence value = (index test data - corresponding index minimum value min) / corresponding index minimum unit ras. For example, the voltage index value of battery C01, 3.853V, is converted into the voltage index sequence value V1 = (3.853 - 3.849) / 0.001 = 4. For an index where a smaller value indicates better battery performance, the sequence value = (corresponding index maximum value max - index test data) / corresponding index minimum unit ras; for example, the internal resistance index value of battery C01, 21.2mΩ, is converted into the internal resistance index sequence value R1 = (22.9 - 21.2) / 0.01 = 17. In this embodiment, the voltage index sequence values ​​V of the 25 batteries to be paired are... n The sequence value R of the internal resistance index n The sequence value C of the capacity index n The calculation results are shown in Table 3.

[0082] Table 3 shows the sequence values ​​of each pairing index for each battery group to be paired.

[0083] Battery number Voltage V (V) Internal resistance R (mΩ) Capacity C (mAh) <![CDATA[V n ]]> <![CDATA[R n ]]> <![CDATA[C n ]]> <![CDATA[S n ]]> C01 3.853 21.2 2005 4 17 4 2254 C02 3.849 21.7 2011 0 12 10 226 C03 3.851 20.6 2002 2 23 1 1387 C04 3.855 22.9 2018 6 0 17 2933 C05 3.850 21.4 2015 1 15 14 770 C06 3.855 22.6 2017 6 3 16 2986 C07 3.855 22.0 2016 6 9 15 3093 C08 3.852 20.2 2006 3 27 5 1949 C09 3.853 21.6 2010 4 13 9 2187 C10 3.854 21.7 2018 5 12 17 2663 C11 3.851 20.2 2001 2 27 0 1458 C12 3.852 21.2 2002 3 17 1 1765 C13 3.854 21.9 2008 5 10 7 2617 C14 3.856 21.0 2011 7 19 10 3754 C15 3.855 22.2 2013 6 7 12 3054 C16 3.857 22.0 2014 8 9 13 4063 C17 3.851 20.3 2002 2 26 1 1441 C18 3.855 22.2 2019 6 7 18 3060 C19 3.851 21.2 2002 2 17 1 1279 C20 3.858 21.0 2012 9 19 11 4727 C21 3.853 21.9 2005 4 10 4 2128 C22 3.851 20.8 2001 2 21 0 1350 C23 3.852 21.2 2003 3 17 2 1766 C24 3.853 21.2 2006 4 17 5 2255 C25 3.853 21.2 2006 4 17 5 2255

[0084] Next, the total sequence value of each battery to be matched is calculated, the total sequence value S. n =Sequence value C of the capacity index n +Sequence value R of the internal resistance index n * Actual length L of capacity index C + Voltage index sequence value V n *The actual length L of the internal resistance index R * Actual length L of capacity index C For example, the total sequence value S of battery numbered C01 n =C n +R n *L C +V n *L R *L C = 4 + 17*18 + 4*27*18 = 2254. The total sequence value S of the 25 batteries to be matched in this embodiment. n The calculation results are shown in Table 3.

[0085] Based on the calculated total sequence value, the 25 batteries to be matched were arranged in descending order. The sorting results are shown in Table 4.

[0086] Table 4 Battery sorting and differences in index sequence values ​​among different battery pack groups.

[0087]

[0088] When performing pairing, it is necessary to calculate the target sequence value of each pairing indicator. According to step S104 above, the target sequence value of the pairing indicator = the pairing target difference of the pairing indicator / the smallest unit of the pairing indicator, ras. In this embodiment, the pairing target difference of the voltage indicator is 0.005V, and the target sequence value of the voltage indicator = 0.005 / 0.001 = 5; the pairing target difference of the internal resistance indicator is 3mΩ, and the target sequence value of the internal resistance indicator = 3 / 0.1 = 30; the pairing target difference of the capacity indicator is 20mAh, and the target sequence value of the capacity indicator = 20 / 1 = 20.

[0089] Next, from the total sequence value S n Starting with the first battery in the descending sort results, select 5 batteries. If the difference in the sequence values ​​of each indicator among the 5 batteries is less than the target sequence value of the corresponding indicator, then these 5 batteries are grouped together and their data is removed. Otherwise, the first battery is deemed unsuitable and removed. After completing the above operations, continue selecting 5 batteries from the first battery in the sort and repeat the above operations. The sorted batteries and the final grouping levels are shown in Table 4, and the range and actual difference of each pairing indicator within each battery group are shown in Table 5.

[0090] Table 5. Range and actual differences of indicators for each group within each battery pack.

[0091]

[0092] As shown in Table 5, the lithium-ion battery pairing method provided in this application produces 5 battery packs. The actual voltage difference of each battery pack is no greater than 0.004V, the actual internal resistance difference is no greater than 1.3mΩ, and the actual capacity difference is no greater than 15mAh.

[0093] To better demonstrate the effect of the lithium-ion battery pairing method provided in this application embodiment, in this specific embodiment, the above-mentioned 25 batteries to be paired were also paired using a conventional pairing method. The pairing process is as follows:

[0094] The conventional grouping method involves segmenting each indicator value according to the target grouping difference, then dividing the battery indicator values ​​into different tiers based on the segmentation, and finally randomly grouping the batteries within the same tier according to a preset number. In other words, based on the target grouping difference, the battery indicator values ​​are directly divided from the data distribution chart, which may result in only one tier or multiple tiers. For example, for an indicator, if only one tier is identified, the batteries within that tier are simply randomly grouped; if three tiers are identified, the batteries within each of the three tiers are then randomly grouped.

[0095] In the comparative experiment of this embodiment, based on the data in Table 1, the distribution and concentration of the test data for each pairing index were analyzed, and the data were segmented according to the target difference of the pairing, such as... Figure 3 , Figure 4 , Figure 5 As shown. Figure 3 This is a distribution chart of voltage performance test data, where each point represents the voltage performance test value for a specific battery. See also... Figure 3 Based on the voltage grouping difference, only one voltage range was identified, which is 3.851-3.855V. There are also 5 batteries that are not in this voltage range. Figure 4 This is a distribution chart of test data for internal resistance, where each point represents the test value of the internal resistance for a specific battery. (See also...) Figure 4 There is only one range for the internal resistance index, which is 20.1-23.0mΩ. All 25 batteries fall within this range. Figure 5 This is a distribution chart of test data for capacity metrics, where each point represents the test value of the capacity metric for a single battery. See also... Figure 5 There is only one capacity range, which is 2001-2020mAh, and all 25 batteries fall within this capacity range. The actual grouping results are shown in Table 6.

[0096] Table 6 shows the grouping of batteries to be paired in the conventional pairing method.

[0097]

[0098] Referring to Table 6, the battery specifications were grouped into four groups according to their voltage ranges. Z1, Z2, Z3, and Z4 form one large group, from which batteries can be randomly selected. The battery groupings shown in the table represent the actual groupings generated in this random selection. The other five batteries are not within the voltage range and therefore could not be grouped.

[0099] Based on the comparison of the grouping results, the average value of the differences in the grouping index of the battery packs after grouping by the two grouping methods is shown in Table 7.

[0100] Table 7 shows the average difference in intra-group matching index of battery packs in the matching results of the two methods.

[0101]

[0102] Based on the data comparison in Table 7, it can be seen that the lithium-ion battery packing method provided in this application forms 5 battery packs, one more than the conventional packing method. Furthermore, considering the average difference in packing indexes within each battery pack, the average difference in each index obtained by the lithium-ion battery packing method provided in this application is significantly lower than the average difference in indexes obtained by the conventional packing method, especially for high-priority packing indexes, which will greatly improve the performance in later use. Therefore, the lithium-ion battery packing method provided in this application significantly improves the consistency between individual cells within each battery pack, effectively enhancing the performance of the battery pack in the target application scenario.

[0103] The lithium-ion battery grouping method provided in this application, during the battery grouping process, establishes a total sequence value for each battery to be grouped, taking into account the priority of various grouping indicators. Then, based on the total sequence value of each battery to be grouped and the target sequence value of each grouping indicator, multiple batteries are grouped. This improves the consistency of each battery group while also achieving a relatively higher improvement in consistency under higher-priority grouping indicators. Consequently, it significantly enhances the battery pack's performance in the target application scenario, specifically improving its performance. Since the priority of the grouping indicators is determined according to the target application scenario, the overall performance of the grouped battery pack is also better adapted to the target application scenario, resulting in a better overall performance.

[0104] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0105] Corresponding to the lithium-ion battery packing method described in the above embodiments, Figure 6 A schematic diagram of the structure of the lithium-ion battery packing device provided in the embodiments of this application is shown. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0106] See Figure 6 The lithium-ion battery matching device 600 in this embodiment may include a data acquisition module 610, a sequence value conversion module 620, a total sequence value calculation module 630, and a battery matching module 640.

[0107] The data acquisition module 610 is used to collect test data of multiple batteries to be matched under various matching indicators.

[0108] The sequence value conversion module 620 is used to determine the maximum value, minimum value and minimum unit of the test data of multiple batteries to be matched under the matching index for each matching index; and convert the test data of each battery to be matched under the matching index into a corresponding sequence value based on the minimum unit and reference value of the matching index; wherein the reference value is the maximum value or the minimum value.

[0109] The total sequence value calculation module 630 is used to determine the total sequence value of each battery to be matched based on the sequence value of each matching index corresponding to each battery to be matched and the priority of each matching index.

[0110] The battery pairing module 640 is used to determine the target sequence value of each pairing indicator based on the preset target difference of each pairing indicator, and to pair multiple batteries to be paired based on the target sequence value of each pairing indicator and the total sequence value of each battery to be paired.

[0111] Optionally, the sequence value conversion module 620 is specifically used for: if the pairing index is an index where a larger value indicates better battery performance, then the reference value corresponding to the pairing index is the minimum value of the pairing index; calculating the difference between the test data of each battery to be paired under the pairing index and the minimum value of the pairing index, and taking the quotient of the difference corresponding to each battery to be paired and the minimum unit of the pairing index as the sequence value of the pairing index for each battery to be paired; if the pairing index is an index where a smaller value indicates better battery performance, then the reference value corresponding to the pairing index is the maximum value of the pairing index; calculating the difference between the maximum value of the pairing index and the test data of each battery to be paired under the pairing index, and taking the quotient of the difference corresponding to each battery to be paired and the minimum unit of the pairing index as the sequence value of the pairing index for each battery to be paired.

[0112] Optionally, the total sequence value calculation module 630 is specifically used for: for each pairing index, taking the quotient of the difference between the maximum and minimum values ​​of the pairing index and the minimum unit of the pairing index as the actual length of the pairing index; determining the coefficient corresponding to each pairing index based on the priority of each pairing index and the actual length of each pairing index; and for each battery to be paired, taking the sum of the products of the sequence values ​​of each pairing index corresponding to the battery to be paired and their coefficients as the total sequence value of the battery to be paired.

[0113] Optionally, the total sequence value calculation module 630 is specifically used to: determine the coefficient of the lowest priority matching indicator among multiple matching indicators as 1; and determine the coefficient of each of the remaining matching indicators as the product of the actual lengths of each matching indicator with a lower priority than that matching indicator.

[0114] Optionally, the battery pairing module 640 is specifically used to: for each pairing index, use the quotient of the preset pairing target difference of the pairing index and the smallest unit of the index of the pairing index as the target sequence value of the pairing index.

[0115] Optionally, the battery grouping module 640 is specifically used to: sort multiple batteries to be grouped in descending order of total sequence value to obtain a queue of batteries to be grouped; based on the queue of batteries to be grouped, group the multiple batteries to be grouped according to the target sequence value of each grouping indicator, the sequence value of each grouping indicator corresponding to each battery to be grouped, and a preset quantity; the preset quantity is the number of batteries in each battery group.

[0116] Optionally, the battery grouping module 640 is specifically used for: starting from the first battery in the current grouping queue, selecting a preset number of batteries as a battery group to be grouped; for each grouping indicator, calculating the difference between the maximum and minimum values ​​of the sequence values ​​of the corresponding grouping indicator for each battery in the battery group to be grouped; if the difference corresponding to each grouping indicator in the battery group to be grouped is less than its respective target sequence value, then the battery group to be grouped is determined to be successfully grouped; removing the battery group to be grouped from the grouping queue, if the number of batteries to be grouped in the queue after removal is greater than a preset number... If the quantity is not specified, proceed to the step of "selecting a preset number of batteries to be paired as a battery group, starting from the first battery in the current battery group queue". If the difference corresponding to at least one pairing index in the battery group is greater than or equal to its own target sequence value, then remove the first battery in the current battery group queue from the current battery group queue. If the number of batteries to be paired in the battery group queue after removal is greater than the preset number, proceed to the step of "selecting a preset number of batteries to be paired as a battery group, starting from the first battery in the current battery group queue".

[0117] It should be noted that the information interaction and execution process between the above-mentioned devices are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0118] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional units or modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the above modules can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0119] This application also provides an electronic device, see [link to relevant documentation] Figure 7 The electronic device 700 may include: at least one processor 710, a memory 720, and a computer program stored in the memory 720 and executable on the at least one processor 710. When the processor 710 executes the computer program, it implements the steps in any of the above-described method embodiments, for example... Figure 1 Steps S101 to S104 in the illustrated embodiment. Alternatively, when the processor 710 executes the computer program, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 6 The functions of modules 610 to 640 are shown.

[0120] For example, a computer program may be divided into one or more modules / units, one or more of which are stored in memory 720 and executed by processor 710 to complete this application. The one or more modules / units may be a series of computer program segments capable of performing a specific function, which describe the execution process of the computer program in electronic device 700.

[0121] Those skilled in the art will understand that Figure 7 This is merely an example of an electronic device and does not constitute a limitation on the electronic device. It may include more or fewer components than shown, or combinations of certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0122] The processor 710 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0123] The memory 720 can be an internal storage unit of the electronic device or an external storage device, such as a plug-in hard drive, a smart media card (SMC), a secure digital card (SD), or a flash card. The memory 720 is used to store the computer program and other programs and data required by the electronic device. The memory 720 can also be used to temporarily store data that has been output or will be output.

[0124] Buses can be Industry Standard Architecture (ISA) buses, Peripheral Component Interconnect (PCI) buses, or Extended Industry Standard Architecture (EISA) buses, etc. Buses can be categorized into address buses, data buses, control buses, etc.

[0125] The lithium-ion battery packing method provided in this application can be applied to electronic devices such as computers, wearable devices, in-vehicle devices, tablet computers, laptop computers, netbooks, personal digital assistants (PDAs), augmented reality (AR) / virtual reality (VR) devices, and mobile phones. This application does not impose any restrictions on the specific type of electronic device.

[0126] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the various embodiments of the lithium-ion battery packing method described above.

[0127] This application also provides a computer program product that, when run on a mobile terminal, enables the mobile terminal to implement the steps in the various embodiments of the lithium-ion battery packing method described above.

[0128] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to a photographic device / electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, an electrical signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0129] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0130] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0131] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for grouping lithium-ion batteries, characterized in that, include: Collect test data of multiple battery groups to be matched under various matching parameters; For each pairing index, determine the maximum value, minimum value, and minimum unit of the test data of the plurality of batteries to be paired under that pairing index; based on the minimum unit and reference value corresponding to that pairing index, convert the test data of each battery to be paired under that pairing index into a corresponding sequence value; wherein, the reference value is the maximum value or the minimum value; Based on the sequence values ​​of each pairing index corresponding to each battery group to be paired and the priority of each pairing index, the total sequence value of each battery group to be paired is determined. Based on the preset target difference of each pairing index, the target sequence value of each pairing index is determined, and the multiple batteries to be paired are paired based on the target sequence value of each pairing index and the total sequence value of each battery to be paired. The determination of the total sequence value of each battery group to be paired, based on the sequence values ​​of each pairing index and the priority of each pairing index, includes: For each pairing index, the quotient between the difference between the maximum and minimum values ​​of the pairing index and the minimum unit of the pairing index is taken as the actual length of the pairing index. Based on the priority of each pairing indicator and the actual length of each pairing indicator, the coefficient corresponding to each pairing indicator is determined. For each battery to be matched, the sum of the products of the sequence values ​​of each matching index corresponding to the battery to be matched and their coefficients is taken as the total sequence value of the battery to be matched.

2. The lithium-ion battery packing method as described in claim 1, characterized in that, Based on the minimum unit and reference value of the matching index, the test data of each battery to be matched under the matching index is converted into a corresponding sequence value, including: If the larger the value of the pairing index is, the better the battery performance, then the reference value corresponding to the pairing index is the minimum value of the pairing index; calculate the difference between the test data of each battery to be paired under the pairing index and the minimum value of the pairing index, and take the quotient of the difference corresponding to each battery to be paired and the minimum unit of the pairing index as the sequence value of the pairing index corresponding to each battery to be paired. If the smaller the value of the pairing index, the better the battery performance, then the reference value corresponding to the pairing index is the maximum value of the pairing index; calculate the difference between the maximum value of the pairing index and the test data of each battery to be paired under the pairing index, and take the quotient of the difference corresponding to each battery to be paired and the smallest unit of the pairing index as the sequence value of the pairing index corresponding to each battery to be paired.

3. The lithium-ion battery packing method as described in claim 1, characterized in that, The determination of the coefficients corresponding to each pairing indicator based on the priority and actual length of each pairing indicator includes: Among multiple pairing indicators, the coefficient corresponding to the pairing indicator with the lowest priority is determined to be 1; the coefficient corresponding to each of the remaining pairing indicators is determined to be the product of the actual lengths of each pairing indicator with a priority lower than that pairing indicator.

4. The lithium-ion battery packing method as described in claim 1, characterized in that, The determination of the target sequence value of each pairing indicator based on the preset target difference of each pairing indicator includes: For each pairing index, the quotient of the preset pairing target difference of the pairing index and the smallest unit of the pairing index is taken as the target sequence value of the pairing index.

5. The lithium-ion battery packing method as described in claim 1, characterized in that, The process of grouping the multiple batteries to be paired based on the target sequence values ​​of each pairing index and the total sequence value of each battery to be paired includes: The multiple battery groups to be matched are sorted in descending order of total sequence value to obtain a queue of battery groups to be matched. Based on the queue of batteries to be paired, the batteries to be paired are paired according to the target sequence value of each pairing indicator, the sequence value of each pairing indicator corresponding to each battery to be paired, and a preset quantity; the preset quantity is the number of batteries in each battery group.

6. The lithium-ion battery packing method as described in claim 5, characterized in that, The step of grouping the multiple batteries to be paired based on the queue of batteries to be paired, according to the target sequence values ​​of each pairing indicator, the sequence values ​​of each pairing indicator corresponding to each battery to be paired, and a preset quantity, includes: Starting from the first battery in the current queue of batteries to be paired, select the preset number of batteries to be paired as a battery pack to be assembled. For each pairing index, calculate the difference between the maximum and minimum values ​​in the sequence of values ​​of that pairing index for each battery in the battery pack to be paired. If the difference between the pairing indicators of each battery pack to be paired is less than its respective target sequence value, then the battery pack to be paired is determined to be successfully paired; the battery pack to be paired is removed from the pairing queue. If the number of batteries to be paired in the pairing queue after removal is greater than the preset number, then the process jumps to the step of "starting from the first battery to be paired in the current pairing queue, selecting the preset number of batteries to be paired as a battery pack to be paired". If the difference between at least one pairing index in the battery pack to be paired is greater than or equal to its own target sequence value, then the first battery in the current pairing queue is removed from the current pairing queue. If the number of batteries in the pairing queue after removal is greater than the preset number, then the process jumps to the step of "starting from the first battery in the current pairing queue, selecting the preset number of batteries as a battery pack to be paired".

7. The lithium-ion battery packing method as described in claim 1, characterized in that, The priority of each pairing index is determined based on the target application scenarios of the multiple battery groups to be paired. The matching parameters include voltage, internal resistance, capacity, and K value; If the target application scenario for the multiple batteries to be matched is a long-term storage scenario, then among the matching indicators, the priority of each matching indicator from low to high is capacity, internal resistance, voltage, and K value. If the target application scenario for the multiple batteries to be matched is a power tool power supply scenario, then among the matching indicators, the priority of each matching indicator from low to high is capacity, voltage, K value, and internal resistance. If the target application scenario for the multiple batteries to be matched is a power supply scenario for digital products, then among the matching indicators, the priority of each matching indicator from low to high is internal resistance, K value, voltage, and capacity.

8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 7.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 7.

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