CN113884887A

CN113884887A - Battery grouping method and device, electronic equipment and computer readable storage medium

Info

Publication number: CN113884887A
Application number: CN202111252776.9A
Authority: CN
Inventors: 任水华; 张志国; 段鹏; 杨雪松
Original assignee: Zhuhai Cosmx Power Battery Co Ltd
Current assignee: Zhuhai Cosmx Power Battery Co Ltd
Priority date: 2021-10-27
Filing date: 2021-10-27
Publication date: 2022-01-04

Abstract

The invention provides a battery matching method, a battery matching device, electronic equipment and a computer readable storage medium, wherein the battery matching method comprises the following steps: acquiring electrical data of n electric cores to be matched; acquiring m electric quantity reference values; calculating voltage values of the battery cells under the m electric quantity reference values based on the electric data of the n battery cells to obtain n electric quantity voltage mapping data; determining m voltage reference values and m voltage threshold values; respectively subtracting m voltage values contained in the n electric quantity and voltage mapping data from m voltage reference values to obtain absolute values of n groups of voltage differences; and matching all the battery cores, which meet the condition that the absolute values are smaller than the corresponding m voltage threshold values, in the n battery cores into a group. The invention can realize the fast and effective grouping of the battery cells to be grouped, improve the grouping efficiency and the grouping yield and reduce the grouping cost.

Description

Battery grouping method and device, electronic equipment and computer readable storage medium

Technical Field

The invention relates to the technical field of batteries, in particular to a battery grouping method and device, electronic equipment and a computer readable storage medium.

Background

The situation of large-scale application of lithium ion batteries in the fields of new energy automobiles, smart power grids and the like is increased year by year, and different from the application of the lithium ion batteries in portable energy storage products (mainly single electric cores or small modules), the lithium ion batteries for power are required to be loaded on the automobiles through an energy storage system or a battery pack formed by combining a plurality of lithium ion batteries in series and parallel. The inconsistency of battery parameters is a key factor affecting the service life of the battery system. Similar to the "barrel" short plate effect, the overall system performance depends on the "weakest cell or module" among them, and although the existence of battery thermal management and the improvement of the technical level guarantee the safe performance operation of the battery system or battery pack to some extent, the improvement of the battery consistency level is still an important technology for the large-scale use of lithium ion batteries.

At present, the main mode of lithium ion battery grouping is performed by combining static single-parameter/multi-parameter modes such as battery capacity, voltage, internal resistance, self-discharge and the like, and the battery cells are selected by grading the parameters to ensure that the battery cells have certain consistency. However, the method can only represent a certain index of the battery in a static state, cannot evaluate the difference of the battery in the actual use process, and has certain limitation.

Disclosure of Invention

The invention aims to solve the problem that the dynamic charge-discharge consistency of the battery is difficult to ensure in the battery matching method in the prior art, and at least one of low matching efficiency and low matching yield is caused by the problem.

In order to solve the above problem, a first aspect of the present invention provides a battery grouping method, including:

acquiring electrical data X of n electric cores to be matched₁、X₂、…、X_i、…、X_n；

Obtaining m electric quantity reference values S₁、S₂、…S_m；

Calculating the voltage value of each battery cell under the m electric quantity reference values based on the electric data of the n battery cells to obtain n electric quantity voltage mapping data as Y₁、Y₂、…、Y_i、…、Y_n；

Determining m voltage reference values as (U)_r1、U_r2、…、U_rm) And determining mVoltage threshold value (U)_t1、U_t2、…U_tm)；

Respectively subtracting m voltage values contained in the n electric quantity and voltage mapping data from the m voltage reference values to obtain absolute value data of n groups of voltage differences: u shape_△1、U_△2、U_△i、…U_△n，U_△i＝(|V_i1-U_r1|、|V_i2-U_r2|、…、|V_im-U_rm|)；

Further, any one of the m voltage reference values is a maximum voltage value of the n battery cells under the same electric quantity reference value;

or, any one of the m voltage reference values is a minimum voltage value of the n battery cells under the same electric quantity reference value;

or, any one of the m voltage reference values is an average voltage value of the n battery cells under the same electric quantity reference value.

Further, the m electric quantity reference values are arranged in an equal interval distribution mode.

Further, calculating the voltage value of each battery cell under the m electric quantity reference values through an interpolation method or a least square method to obtain n electric quantity voltage mapping data as Y₁、Y₂、…、Y_i、…、Y_n。

Further, the electric data X of the n electric cores to be matched is obtained₁、X₂、…、X_i、…、X_nThe method comprises the following steps:

acquiring voltage values and electric quantity values of each electric core in the n electric cores to be matched under the same charging current and n acquisition times to obtain electric data of the n electric cores;

and/or acquiring a voltage value and an electric quantity value of each electric core in the n electric cores to be matched under the same discharge current and n acquisition times to obtain the electric data of the n electric cores.

Further, the reference value of the electric quantity is an SOC value, and during charging, the minimum value of m SOC values is not lower than 80% of the rated capacity of each battery cell, and m is not less than 3 and is an integer.

Further, the reference value of the electric quantity is an SOC value, and when discharging, the maximum value of m SOC values is not higher than 20% of the rated capacity of each battery cell, and m is not less than 3 and is an integer.

A second aspect of the present invention provides a battery grouping apparatus, including:

a collection unit for acquiring electrical data X of n cells to be grouped₁、X₂、…、X_i、…、X_n；

A setting unit for acquiring m electric quantity reference values S₁、S₂、…S_m；

A first calculating unit, configured to calculate, based on the electrical data of the n electrical cores, a voltage value of each electrical core under the m electrical quantity reference values, and obtain n electrical quantity-to-voltage mapping data as Y₁、Y₂、…、Y_i、…、Y_n；

A reference unit for determining m voltage reference values as (U)_r1、U_r2、…U_rrn) And determining m voltage threshold values (U)_t1、U_t2、…U_trn)；

The second calculating unit is used for respectively subtracting m voltage values contained in the n electric quantity and voltage mapping data from the m voltage reference values to obtain n groups of voltage difference data: u shape_△1、U_△2、U_△i、…U_△n；U_△i＝(|V_i1-U_r1|、|V_i2-U_r2|、…、|V_im-U_rm|)；

The third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the processor and the memory complete communication with each other through a bus; the memory stores program instructions executable by the processor, the processor being capable of performing the method as described in any one of the above.

A fourth aspect of the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as claimed in any one of the preceding claims.

According to the battery matching method provided by the invention, the electric data of the electric core to be matched in the full electric state is obtained, the voltage value of each electric state is obtained based on the electric data of different electric states, the voltage difference of each electric core to be matched in the full electric state is obtained through the voltage value of each electric state, the matching of the electric core can be completed through the voltage difference of each electric core to be matched in the full electric state, the required parameters are less, and the matching is performed through dynamic parameters, so that the limitation caused by the fact that the difference of the electric core in the actual use process cannot be evaluated in the static single-parameter/multi-parameter matching process can be avoided, the quick and effective grouping of the electric core to be matched is realized, the matching efficiency and the matching yield are improved, and the matching cost is reduced.

Drawings

Fig. 1 is a schematic flow chart of a battery grouping method according to an embodiment of the present disclosure;

fig. 2 is a schematic structural diagram of a battery grouping apparatus according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

At present, the main mode of lithium ion battery grouping is performed by combining static single-parameter/multi-parameter modes such as battery capacity, voltage, internal resistance, self-discharge and the like, and the battery cells are selected by grading the parameters to ensure that the battery cells have certain consistency. However, this method can only represent a certain index of the battery in a static state, and cannot evaluate the difference of the battery in the actual use process, which has certain limitations, for example: the parameters can only be selected and grouped by using the value of a certain test electric state, if the test electric state is in a platform period, the consistency of the electric core at the charge and discharge tail end cannot be effectively reflected, namely the pressure difference and the performance of the module at the charge and discharge tail end cannot be effectively reflected; if the test is performed when the electrical state is very high or very low, the sigma of the data obtained by the test is very large, and the situations that the number of grading gears is large, the number of matching groups is large, and the matching yield is reduced sharply occur.

The application provides a battery grouping method, a battery grouping device, an electronic device and a computer readable storage medium, which aim to solve the technical problems in the prior art.

The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

It is noted that examples of the embodiments of the present application are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.

As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Fig. 1 is a schematic flow chart of a battery grouping method provided in an embodiment of the present application. Referring to fig. 1, a first aspect of the present application provides a battery grouping method, including the following steps:

step S1, acquiring electrical data X of n electric cores to be matched₁、X₂、…、X_i、…、X_n(ii) a Wherein i is 1, 2, …, n is an integer greater than 1, each electrical data includes a plurality of sets of electrical parameter values, each set of electrical parameter values includes an acquisition time, a voltage value, a current value and an electric quantity value;

when the n electric cores to be grouped are grouped, in order to reduce interference of other factors and improve grouping efficiency, on the basis of the above embodiment, as a preferred embodiment, the electric data X of the n electric cores to be grouped is acquired₁、X₂、…、X_i、…、X_nThe method comprises the following steps:

It should be noted that, a person skilled in the art may determine the predetermined charging current or the predetermined discharging current according to an actual situation or a requirement for consistency of n cells to be paired, which is not further limited in the present application, for example: the preset charging current and the preset discharging current are 23000-27000 mA respectively.

When the consistency requirements of the charging and discharging of the n electric cores to be matched and grouped are higher, the electric quantity values and the voltage values of each electric core in the n electric cores to be matched and grouped under the same charging current and different acquisition time and the electric quantity values and the voltage values of each electric core in the n electric cores to be matched and grouped under the same discharging current and different acquisition time are required to be obtained; when the requirement on the consistency of the charging of the n electric cores to be matched is low or no requirement exists, only the electric quantity values and the voltage values of each electric core in the n electric cores to be matched under the same discharging current and different acquisition time can be obtained; when the requirement on the consistency of the discharge of the n electric cores to be paired is low or no requirement exists, only the electric quantity values and the voltage values of each electric core in the n electric cores to be paired under the same charging current and different acquisition time can be obtained.

Step S2, obtaining m electric quantity reference values S₁、S₂、…、S_m；

The electric quantity reference value comprises an electric quantity value and an SOC value, and the electric quantity value comprises a charging quantity value or a discharging quantity value.

The SOC (state of charge) value refers to the ratio of the remaining capacity of the battery after a period of use or long standing to the capacity in its fully charged state.

According to the ratio of the electric quantity value of the n electric cores to be matched in different acquisition time to the rated capacity of each electric core to be matched, which is obtained in the step S1, the SOC values in different acquisition time and the voltage values corresponding to the SOC values can be obtained.

The m electric quantity reference values may be selected from electric quantity values (including charge values and discharge values) or SOC values of each of the n electric cells to be paired at different collection times, or electric quantity values or SOC values of each of the n electric cells to be paired at different collection times may not be selected according to actual conditions. For example: the electric quantity reference value is an SOC value, the SOC values of 5min, 10min, 15min … and 30min can be obtained according to each battery cell of n battery cells to be matched, and the set m SOC values S1, S2, … and Sm are the SOC values of each battery cell in 5min, 10min, … and 30min respectively; the m SOC values S1, S2, …, and Sm may be SOC values at 8min, 12min, …, and 28min, respectively.

Each cell to be paired needs to set m electric quantity reference values S1, S2, and … Sm, and the m electric quantity reference values set by the n cells to be paired are all the same, for example: the electric quantity reference value is an SOC value, and a first battery cell to be matched sets 3 SOC values: 5% SOC, 10% SOC, 15% SOC, the second electric core that waits to join in marriage the group also sets up 3 same SOC values: 5% SOC, 10% SOC, 15% SOC, … analogize in turn, and the nth cell to be grouped also sets 3 same SOC values: 5% SOC, 10% SOC, 15% SOC.

In order to prevent the collected electric quantity reference values from being too dense or too sparse to influence the accuracy of the matching group, on the basis of the above embodiment, as a preferred embodiment, the m electric quantity reference values are set in an equally-spaced distribution manner.

For example, the charge reference value is an SOC value, several SOC values from 0% SOC to 100% SOC are set, and the interval between each SOC value is 5%, that is, 0% SOC, 5% SOC, 10% SOC, … 100% SOC are set.

A person skilled in the art may set the interval between any two adjacent reference values of electric quantity according to actual conditions, but in order to balance the group matching yield and the quality of the grouped module product, in some preferred embodiments, the interval between any two adjacent reference values of electric quantity is a 5% SOC value or a product of 5% SOC and the rated capacity of the battery cell; if the electric quantity reference value is the SOC value, the interval between any two adjacent electric quantity reference values is the 5% SOC value; and if the electric quantity reference value is an electric quantity value, the interval between any two adjacent electric quantity reference values is the product of 5% of the SOC and the rated capacity of the battery cell.

The internal resistance of the battery cell changes along with the change of the SOC value, and the internal resistance of the battery cell changes more obviously along with the change of the SOC value in the terminal charging or terminal discharging, so as to better reduce the internal resistance difference between the battery cells, improve the consistency of the internal resistance of the battery cells during matching, and reduce the voltage difference caused by the internal resistance difference between the battery cells, thereby improving the yield of matching.

Generally, when m electric quantity reference values are set, the larger the number of the selected electric quantity reference values is, the smaller the interval is, the better the actual voltage difference condition of the reaction module can be, and the higher the quality of the module product can be obtained, but meanwhile, the lower the matching yield and efficiency of the module product can be; for the battery cells, the battery cells are sensitive to changes of terminal charging or terminal discharging, and the electrical data of each battery cell at the terminal charging or terminal discharging can better reflect the consistency of the battery cells, so in order to improve the yield of matching and further improve the matching efficiency, on the basis of the above embodiment, m electric quantity reference values S are set₁、S₂、…S_mThe method also comprises the following steps:

the electric quantity reference value is an SOC value;

during charging, the minimum value of the m SOC values is not less than 80% of the rated capacity of each battery cell, and m is not less than 3 and is an integer.

When discharging, the maximum value of the m SOC values is not higher than 20% of the rated capacity of each battery cell, and m is not less than 3 and is an integer.

For example: during charging, 4 SOC values are set, and each SOC value is 84% SOC, 89% SOC, 94% SOC and 99% SOC of the rated capacity of each battery cell in sequence; at the time of discharge, 4 SOC values are set, and each SOC value is 1% SOC, 6% SOC, 11% SOC, and 16% SOC of the rated capacity of each cell in this order.

S3, calculating voltage values of the battery cells under the m electric quantity reference values based on the electric data of the n battery cells, and obtaining n electric quantity voltage mapping data as Y₁、Y₂、…、Y_i、…、Y_n(ii) a Wherein, Y_i＝(S₁，V_i1)、(S₂，V_i2)、…、(S_m，V_im) M is an integer greater than 1;

it can be understood that each battery cell has an electric quantity value and a voltage value corresponding to the acquisition time at different acquisition times in the charging and discharging processes, and an SOC value corresponding to the acquisition time can be obtained from the ratio of the electric quantity value to the rated capacity of each battery cell, so that each battery cell has an SOC value and a voltage value corresponding to the acquisition time at different acquisition times in the charging and discharging processes, and thus, the voltage value of each battery cell at different SOC values can be obtained, and a mapping relationship between the SOC value and the voltage value is established. Therefore, the charge-voltage map data includes both the map between the charge value (charge value and discharge value) and the voltage value and the map between the SOC value and the voltage value.

In an actual group matching process, in order to improve the group matching efficiency, it is only necessary to obtain a voltage value of each electric core of the n electric cores under the m electric quantity reference values based on the set m electric quantity reference values, so as to obtain n electric quantity voltage mapping data.

In the process of acquiring the voltage values of the battery cells under the m electric quantity reference values, since only the voltage values corresponding to the corresponding electric quantity reference values can be acquired according to the electrical data of the n battery cells to be paired, and a part of the m electric quantity reference values may not be in the electrical data acquired in step S1, the voltage values corresponding to the part of the electric quantity reference values cannot be directly acquired, but the voltage values under the part of the electric quantity reference values play a significant role in the group matching yield, and therefore, in order to acquire the part of the important electric quantity reference values, on the basis of the above-mentioned embodiment, the method further includes:

calculating the voltage value of each battery cell under the m electric quantity reference values through an interpolation method or a least square method to obtain n electric quantity voltage mapping data as Y₁、Y₂、…、Y_i、…、Y_n。

Specifically, based on the cell data of each cell acquired in step S1, voltage values under the electric quantity reference values at both ends of the electric quantity reference value to be acquired are respectively acquired, and the voltage value under the electric quantity reference value to be acquired is acquired by performing interpolation or least square calculation on the voltage values under the electric quantity reference at both ends of the electric quantity reference value to be acquired.

For example: the reference value of the electric quantity is an SOC value, and 3 SOC values are set as 5% SOC, 8% SOC, and 15% SOC, wherein both 5% SOC and 15% SOC can directly obtain a voltage value under 5% SOC and a voltage value under 15% SOC according to the electrical data of each battery cell acquired in step S1, but the voltage value under 8% SOC cannot be directly obtained, and at this time, the voltage value under 5% SOC and the voltage value under 15% SOC are calculated by an interpolation method or a least square method by using 8% SOC as an independent variable and 8% SOC as a dependent variable.

S4, determining m voltage reference values as (U)_r1、U_r2、…、U_rm) And determining m voltage threshold values (U)_t1、U_t2、…、U_tm)；

It can be understood that, since each battery cell has a certain difference, even under the same reference value of electric quantity, the voltages of the battery cells are also different, but in order to facilitate grouping the n battery cells to be grouped, it is necessary to set a corresponding grouping standard to classify and group the n battery cells to be grouped.

On the basis of the above-described embodiment, therefore, as a preferred embodiment,

any one of the m voltage reference values is the maximum voltage value of the n battery cells under the same electric quantity reference value, that is, U_r1＝Max(V₁₁、V₁₂、…、V_1m)、U_r2＝Max(V₂₁、V₂₂、…、V_2m)、…、U_rn＝Max(V_n1、V_n2、…、V_nm)；

Or, any one of the m voltage reference values is the minimum voltage value of the n battery cells under the same electric quantity reference value, that is, U_r1＝Min(V₁₁、V₁₂、…、V_1m)、U_r2＝Min(V₂₁、V₂₂、…、V_2m)、…、U_rn＝Min(V_n1、V_n2、…、V_nm)；

Or, any one of the m voltage reference values is an average voltage value of the n battery cells under the same electric quantity reference value, that is, U_r1＝(V₁₁+V₁₂+…+V_1m)/m、U_r2＝(V₂₁+V₂₂+…+V_2m)/m、…、U_rn＝(V_n1+V_n2+…+V_nm)/m。

In order to complete grouping of the cells to be grouped as many as possible and improve the yield of grouping, on the basis of the above embodiment, as a preferred embodiment, any one of the m voltage reference values is an average voltage value of the n cells under the same electric quantity reference value, that is, U_r1＝(V₁₁+V₁₂+…+V_1m)/m、U_r2＝(V₂₁+V₂₂+…+V_2m)/m、…、U_rn＝(V_n1+V_n2+…+V_nm)/m。

Threshold value (U) for m voltages in the present application_t1、U_t2、…、U_tm) Without further limitation, those skilled in the art may set the following according to actual requirements, for example: u shape_t1、U_t2、…、U_tmAre all 10V.

S5, respectively subtracting m voltage values contained in the n electric quantity and voltage mapping data from m voltage reference values to obtain absolute value data of n groups of voltage differences: u shape_△1、U_△2、U_△i、…U_△n(ii) a Wherein the absolute value data of each set of voltage differences comprises m absolute values of voltage differences, U_△i＝(|V_i1-U_r1|、|V_i2-U_r2|、…、|V_im-U_rm|)；

It should be understood that, under the same electric quantity reference value, the voltage value of each of the n electric cells to be grouped is greater than the voltage reference value, is smaller than the voltage reference value, or is equal to the voltage reference value, thereby causing that the difference between the voltage value of each electric cell and the voltage reference value may obtain a positive value, a negative value, or zero, but as long as the fluctuation range is consistent around the voltage reference value, the consistency of the electric cells is basically the same, therefore, m voltage values included in the n electric quantity-voltage mapping data are respectively subtracted from m voltage reference values, so as to obtain the absolute value data of n groups of voltage differences.

It is understood that only the absolute value data of the voltage difference of the n cells to be grouped satisfy | V_i1-U_r1|≤U_t1、|V_i2-U_r2|≤U_t2、…、|V_im-U_rm|≤U_tmMay be configured as a group, and as long as the absolute value of the voltage difference of one of the cells does not satisfy the above relationship, the cells are not grouped with other cells.

The battery matching method provided by the embodiment of the application obtains the electrical data of the battery cells to be matched in the full electrical state based on the electrical data of different electrical states, obtains the voltage values of the different electrical states, obtains the voltage differences of the battery cells to be matched in the full electrical state through the voltage values of the different electrical states, and can complete the matching of the battery cells through the voltage differences of the battery cells to be matched in the full electrical state.

The battery grouping method according to the embodiment of the present application is described in more detail with reference to an example.

In one example, the battery grouping method includes the following steps:

step 1, setting the discharge current values of n electric cores to be grouped to 25000 +/-2 mA, and collecting voltage values and electric quantity values under different discharge time, wherein for example, the original data (not completely shown, only part of the original data is shown) of one electric core is shown in table 1;

table 1 partial raw data sheet of a certain cell

Step 2, setting 20 SOC values from 0% to 100% SOC at equal intervals, wherein the SOC values are 5% SOC, 10% SOC, … and 100% SOC in sequence;

step 3, calculating voltage values of the battery cells under 20 SOC values according to the voltage values and the electric quantity values of the n battery cells under different discharge times in step S1, and obtaining n SOC voltage mapping data Y₁、Y₂、…、Y_i、…、Y_n(ii) a Wherein, Y_i＝(5％SOC，V_i1)、(10％SOC，V_i2)、…、(100％SOC，V_i20) For example, a corresponding relationship between the SOC value and the voltage value of one of the battery cells is shown in table 2;

TABLE 2 corresponding relationship table of SOC value and voltage value of certain electric core

Step 4, determining 20 voltage reference values, where each voltage reference value is an average voltage value of the n battery cells under the same SOC value, that is, the 20 voltage reference values are: average voltage values of n cells at 5% SOC, average voltage values of n cells at 10% SOC, …, and average voltage values of n cells at 100% SOC; simultaneously determining 20 voltage threshold values, for example, 20 voltage threshold values may be set according to table 3;

TABLE 3 Voltage threshold value Specification Table

Step 5, mapping the n SOC voltagesAnd (3) respectively subtracting 20 voltage values contained in the data from 20 voltage reference values to obtain absolute value data of n groups of voltage differences: u shape_△1、U_△2、U_△i、…U_△n(ii) a Wherein the absolute value data for each set of voltage differences comprises the absolute values of 20 voltage differences, U_△i＝(|V_i1-U_r1|、|V_i2-U_r2|、…、|V_i20-U_r20|)；

Fig. 2 is a battery assembling device provided in an embodiment of the present application. Referring to fig. 2, a second aspect of the present application provides a battery grouping apparatus, which includes a collecting unit 101, a setting unit 102, a first calculating unit 103, a reference unit 104, a second calculating unit 105, and a grouping unit 106, wherein:

an acquisition unit 101, configured to acquire electrical data X of n electrical cores to be grouped₁、X₂、…、X_i、…、X_n(ii) a Wherein i is 1, 2, …, n is an integer greater than 1, each electrical data includes a plurality of sets of electrical parameter values, each set of electrical parameter values includes an acquisition time, a voltage value, a current value and an electric quantity value;

a setting unit 102 for setting m reference values S of electric quantity₁、S₂、…S_m；

A first calculating unit 103, configured to calculate, based on the electrical data of the n battery cells, voltage values of the battery cells under the m electric quantity reference values, and obtain n electric quantity-to-voltage mapping data as Y₁、Y₂、…、Y_i、…、Y_n(ii) a Wherein, Y_i＝(S₁，V_i1)、(S₂，V_i2)、…、(S_m，V_im) M is an integer greater than 1;

a reference unit 104 for determining m voltage reference values as (U)_r1、U_r2、…U_rrn) And determining m voltage threshold values (U)_t1、U_t2、…U_trn)；

The second calculating unit 105 is configured to obtain n groups of voltage difference data by subtracting m voltage values included in the n electric quantity-voltage mapping data from m voltage reference values: u shape_△1、U_△2、U_△i、…U_△n(ii) a Wherein each set of voltage difference data comprises m voltage differences, U_△i＝(|V_i1-U_r1|、|V_i2-U_r2|、…、|V_im-U_rm|)；

The battery grouping device provided in the embodiment of the present application specifically executes the processes of the above method embodiments, and please refer to the contents of the above battery grouping method embodiments in detail, which are not described herein again. The battery matching device comprises a battery matching device body, wherein the battery matching device body comprises a battery core, a plurality of battery cores and a plurality of groups of batteries, the battery matching device body comprises a plurality of groups of batteries, the battery core is arranged in the battery matching device body, the battery cores are arranged in the battery matching device body, the battery matching device body comprises a plurality of groups of batteries, the battery cores are arranged in the battery matching device body, the battery cores are connected with the battery matching device body through a plurality of groups of batteries, the battery matching device body comprises a plurality of groups of batteries, and the battery matching device body comprises a plurality of groups of batteries.

A third aspect of the present application provides an electronic device, including: a memory and a processor; at least one program stored in the memory for execution by the processor to cause the processor to perform the corresponding aspects of the method embodiments described above. Compared with the prior art, the method can realize that: this electronic equipment is through acquireing the electric data of waiting to join in marriage a group electric core at full electric, the electric pressure value of each electric is acquireed to the electric data based on different electric, and obtain the voltage difference of each electric core of waiting to join in marriage a group at full electric through the electric pressure value of each electric, the group of joining in marriage of electric core can be accomplished to each electric core of waiting to join in marriage a group at the voltage difference of full electric, required parameter is less, and join in marriage the group through dynamic parameter, can avoid static single parameter/many parameters to join in marriage the limitation that the difference of group in the in-service use of electric core brought in the group process of joining in marriage, realize fast, the effectual electric core of waiting to join in marriage a group is grouped, the efficiency of joining in marriage the group and the yield of joining in marriage the group have been improved, and the cost of joining in marriage the group has been reduced.

In an alternative embodiment, an electronic device is provided, as shown in fig. 3, the electronic device 4000 shown in fig. 3 comprising: a processor 4001 and a memory 4003. Processor 4001 is coupled to memory 4003, such as via bus 4002. Optionally, the electronic device 4000 may further comprise a transceiver 4004. In addition, the transceiver 4004 is not limited to one in practical applications, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.

The Processor 4001 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 4001 may also be a combination that performs a computational function, including, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like.

Bus 4002 may include a path that carries information between the aforementioned components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 4002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 3, but this does not mean only one bus or one type of bus.

The Memory 4003 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.

The memory 4003 is used for storing application codes for executing the scheme of the present application, and the execution is controlled by the processor 4001. Processor 4001 is configured to execute application code stored in memory 4003 to implement what is shown in the foregoing method embodiments.

A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, on which a computer program is stored, which, when run on a computer, enables the computer to perform the corresponding content in the aforementioned method embodiments. Compared with the prior art, the computer-readable storage medium obtains the voltage values of all the electric states based on the electric data of all the electric cores to be matched based on the electric data of different electric states, obtains the voltage differences of all the electric cores to be matched based on the voltage values of all the electric states, and can complete the matching of the electric cores through the voltage differences of all the electric cores to be matched based on all the electric states.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

Although the present disclosure has been described above, the scope of the present disclosure is not limited thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the spirit and scope of the present disclosure, and these changes and modifications are intended to be within the scope of the present disclosure.

Claims

1. A battery grouping method, comprising:

Obtaining m electric quantity reference values S₁、S₂、…S_m；

Determining m voltage reference values as (U)_r1、U_r2、…、U_rm) And determining m voltage thresholdsValue (U)_t1、U_t2、…U_tm)；

2. The battery grouping method according to claim 1,

any one of the m voltage reference values is a maximum voltage value of the n battery cells under the same electric quantity reference value;

3. The battery grouping method according to claim 1, wherein the m charge reference values are arranged in an equally spaced distribution.

4. The battery grouping method according to claim 1, wherein the voltage values of the battery cells under the m electricity reference values are calculated by an interpolation method or a least square method to obtain n electricity voltage mapping data as Y₁、Y₂、…、Y_i、…、Y_n。

5. The battery grouping method according to claim 1, wherein the obtaining n to be groupedElectric data X of each cell₁、X₂、…、X_i、…、X_nThe method comprises the following steps:

6. The battery grouping method according to claim 5, wherein the reference value of the electric quantity is an SOC value, and when charging, the minimum value of m SOC values is not less than 80% of the rated capacity of each battery cell, and m is not less than 3 and is an integer.

7. The battery grouping method according to claim 5, wherein the reference value of the electric quantity is an SOC value, and when discharging, the maximum value of m SOC values is not higher than 20% of the rated capacity of each battery cell, and m is not less than 3 and is an integer.

8. A battery grouping apparatus, comprising:

The second calculating unit is used for respectively subtracting m voltage values contained in the n electric quantity and voltage mapping data from the m voltage reference values to obtain absolute value data of n groups of voltage differences: u shape_△1、U_△2、U_△i、…U_△n，U_△i＝(|V_i1-U_r1|、|V_i2-U_r2|、…、|V_im-U_rm|)；

9. An electronic device, comprising a memory and a processor, wherein the processor and the memory communicate with each other via a bus; the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.