CN106058279A - Lithium battery pack grouping method - Google Patents

Abstract

The invention discloses a lithium battery pack assembly method, comprising the following steps: taking a batch of batteries whose quality meets the technological requirements and the number of batteries is N*(M+m), where N is the number of parallel batteries, M is the number of series batteries, m is the number of excessive N parallel battery groups; N is an even or odd number, and the difference obtained is arranged in descending order of the absolute value of the difference, and the first m groups are eliminated, and the remaining M groups are the target battery groups that need to be allocated. In the present invention, M N-parallel battery packs are spliced in pairs of small battery packs in ascending order of M+m capacity and descending order of M+m capacity. The capacity difference between them greatly improves the consistency of the target battery pack, the method is simple, and it is easy to realize automatic processing; The large parallel group greatly improves the consistency of group matching; the method is simple and easy to realize automation.

Description

A lithium battery pack matching method

technical field

The invention relates to a lithium battery pack assembly method.

Background technique

The current prismatic lithium battery pack adopts parallel connection and series connection respectively to increase capacity and voltage. The usual method is to group the batteries first, connect the batteries in each group in parallel, and connect the groups in series.

The requirement for group matching is that the capacity and difference between groups should be as small as possible, so group matching is a heavy workload and difficult process in the battery pack, and the result of group matching is related to the cruising range and life of the battery pack.

The current common group matching method is to divide the battery into several gears, and then take the batteries in proportion according to the number of batteries in each gear to form a group. If there is a large gap between the capacity and capacity of the group, then replace the battery for modification. . This method divides the battery into several gears, which greatly increases the difficulty and complexity of operation, which is not conducive to improving efficiency and is difficult to automate. Authorized announcement number CN 104103866 B discloses a lithium battery grouping method. The lithium battery is a battery module composed of N*M single lithium batteries. First, N batteries are connected in parallel and then M groups are connected in series. The data of N*M batteries Arranged in ascending order of capacity, it is evenly divided into the entire segment of data consisting of the first half of ascending data and the second half of descending data, so that the high and low capacities complement each other when grouping, reducing the capacity difference between each parallel group.

Contents of the invention

Aiming at the deficiencies of the prior art, the present invention proposes a lithium battery pack matching method.

The purpose of the present invention can be achieved through the following technical solutions:

A lithium battery pack matching method, the method comprising the steps of:

(1) Take a batch of batteries whose quality meets the process requirements and the number of batteries is N*(M+m), where N is the number of parallel batteries, M is the number of series batteries, and m is the number of excessive N parallel battery groups;

(2) If N is an even number, blindly randomly select N/2 batteries as a group, a total of (2M+2m) groups, export the capacity data of each group of batteries from the database and sum them up, arrange them in ascending order of total capacity, and number them sequentially A(01), A(02), ..., A(2M+2m); then combine A(01), A(02), ..., A(M+m) with A(2M+2m), A( 2M+2m-1),..., A(M+m+1) are added in pairs in turn, and the sum values are numbered as B(01), B(02),...,B(M+m), and then B (01), B(02),...,B(M+m) subtract the mean value of B(01), B(02),...,B(M+m) in turn to obtain the difference;

If N is an odd number, randomly and blindly select (N+1)/2 batteries as a group, and take a total of (M+m) groups, export the capacity data of each group of batteries from the database and sum them up and arrange them in ascending order of total capacity, in order The numbers are A(01), A(02),..., A(M+m); then random blindly select (N-1)/2 batteries as a group, a total of (M+m) groups, and export each After the capacity data of the battery pack are summed, they are arranged in descending order of the total capacity, and the numbers are B(01), B(02),..., B(M+m); A(01), A(02),..., A(M+m) and B(01), B(02),..., B(M+m) are added in pairs in sequence, and the sum values are sequentially numbered as C(01), C(02),...,C( M+m), and then subtract the mean value of C(01), C(02),...,C(M+m) from C(01), C(02),...,C(M+m) in turn to find Get the difference;

(3) Arrange the differences obtained when the above-mentioned N is an even or odd number in descending order of the absolute value of the difference, remove the first m groups, and the remaining M groups are the target battery groups to be obtained.

Beneficial effects of the present invention: in the present invention, since the M N-parallel battery packs are spliced in pairs of small battery packs in ascending order of M+m group capacity and descending order of M+m group capacity, the high and low capacities complement each other, reducing The capacity difference between each parallel group is eliminated, and finally the parallel group with a large difference from the average value is eliminated, which greatly improves the consistency of the target battery group. The method is simple and easy to realize automatic processing;

The grouping method of the invention is formed by splicing small battery groups in ascending order and descending order in pairs, and finally eliminates the parallel group with a large difference from the average value, which greatly improves the consistency of grouping; the method is simple and easy to realize automation.

detailed description

A kind of assortment method of lithium battery pack

Assemble an N parallel M battery pack, take a batch of batteries whose quality meets the process requirements and the number of batteries is N*(M+m), where m refers to the excessive number of N parallel battery packs;

Among them: if N is an even number, blindly randomly select N/2 batteries as a group, a total of (2M+2m) groups, export the capacity data of each group of batteries from the database, and arrange each group in ascending order of total capacity after summation, and number them in turn It is A(01), A(02), ..., A(2M+2m);

Then put A(01), A(02),..., A(M+m) and A(2M+2m), A(2M+2m-1),..., A(M+m+1) in pairs Add, and the sum value is sequentially numbered as B(01), B(02),...,B(M+m), as follows:

B(01)=A(01)+A(2M+2m),

B(02)=A(02)+A(2M+2m-1),

…

B(M+m)=A(M+m)+A(M+m+1);

Then subtract the mean value of B(01), B(02),..., B(M+m) from B(01), B(02),..., B(M+m) in turn to obtain the difference, and The absolute value of the difference is arranged in descending order, and the first m groups are eliminated, and the remaining M groups are the target battery groups that need to be allocated;

If N is an odd number, randomly and blindly select (N+1)/2 batteries as a group, and take a total of (M+m) groups, export the capacity data of each group of batteries from the database, and arrange each group in ascending order of total capacity after summing , sequentially numbered as A(01), A(02),..., A(M+m); then blindly randomly select (N-1)/2 batteries as a group, a total of (M+m) groups, from the database Export the capacity data of each group of batteries, each group is summed and arranged in descending order of total capacity, and the numbers are B(01), B(02),..., B(M+m), A(01), A(02) , ..., A(M+m) and B(01), B(02), ..., B(M+m) are added two by two in turn, and the sum values are numbered as C(01), C(02),... ,C(M+m), as follows:

C(01)=A(01)+B(01),

C(02)＝A(02)+B(02),

…

C(M+m)=A(M+m)+B(M+m),

Then subtract the mean value of C(01), C(02),...,C(M+m) from C(01), C(02),...,C(M+m) in order to obtain the difference, and The absolute value of the difference is arranged in descending order, and the first m groups are eliminated, and the remaining M groups are the target battery groups that need to be matched.

Since M N-parallel battery packs are spliced in pairs by small battery packs in ascending order of M+m capacity and descending order of M+m capacity, the high and low capacities complement each other, reducing the gap between each parallel group. The capacity is poor, and the parallel group with a large difference from the average value is finally eliminated, which greatly improves the consistency of the target battery group. The method is simple and easy to realize automatic processing; this method of group matching adopts small battery groups in ascending and descending order. It is formed by splicing, and finally eliminates the parallel group with a large difference from the mean value, which greatly improves the consistency of the matching group. The method is simple and easy to realize automation.

Take 10 and 10 strings of packs as an example, randomly select 10*(10+2) from the database, a total of 120 qualified batteries, M is 10, N is 10, m is 2, export capacity data, press the battery barcode Sorting, the capacity is arranged in random order, and the sum of every five data, as shown in Table 1.

Table 1

Arranged in ascending order of total capacity, numbered as A(01), A(02), ..., A(2M+2m); then A(01), A(02), ..., A(M+m) and A (2M+2m), A(2M+2m-1),..., A(M+m+1) are added in pairs, and the sum values are numbered as B(01), B(02),...,B( M+m), and then subtract B(01), B(02),...,B(M+m) from B(01), B(02),...,B(M+m) in turn to find Get the difference; as shown in Table 2.

Table 2

Eliminate the B(01) and B(02) groups with the highest absolute value of the difference, and the remaining 10 groups are the target 10-parallel 10-string battery pack.

In actual production, the number of parallel and series connections is much greater than the example value, or the value of m is increased, and the consistency of the target battery pack obtained will be much better than the example results.

The above content is only an example and description of the structure of the present invention. Those skilled in the art make various modifications or supplements to the described specific embodiments or replace them in similar ways, as long as they do not deviate from the structure of the invention or Anything beyond the scope defined in the claims shall belong to the protection scope of the present invention.

Claims (1)

1. a lithium battery pack method for group matching, it is characterised in that the method comprises the steps:

(1) take a collection of quality and meet technological requirement and cell number is N*(M+m) battery only, N is batteries in parallel connection number, and M is series connection Cell number, m is N the set of cells number of excess；

(2) if N is even number, it is one group that random-blind takes N/2 battery, and (2M+2m) group, derives the appearance of every Battery pack from data base altogether After amount data summation, arranging by total capacity ascending order, number consecutively is A(01), A(02) ..., A(2M+2m)；Then by A (01), A(02) ..., A(M+m) and A(2M+2m), A(2M+2m-1) ..., A(M+m+1) it is added the most two-by-two, and value is compiled successively Number it is B (01), B (02) ..., B (M+m), then by B (01), B (02) ..., B (M+m) deducts B (01), B (02) successively ..., B (M+m) average, tries to achieve difference；

If N is odd number, it is one group that random-blind takes (N+1)/2 battery, takes (M+m) group altogether, derives every Battery pack from data base Arranging by total capacity ascending order after capacity data summation, number consecutively is A(01), A(02) ..., A(M+m)；Random-blind takes again (N-1)/2 batteries are one group, altogether (M+m) group, derive capacity data the summation of every Battery pack from data base after, by total capacity Descending, number consecutively is B(01), B(02) ..., B(M+m)；A(01), A(02) ..., A(M+m) and B(01), B (02) ..., B(M+m) it is added the most two-by-two, and value number consecutively is C (01), C (02) ..., C (M+m), then by C (01), C (02) ..., C (M+m) deducts C (01), C (02) successively ..., the average of C (M+m), try to achieve difference；

(3) above-mentioned N is even number or difference that odd number is tried to achieve is by absolute difference descending, m group before rejecting, remaining M group It it is i.e. the target battery group needing to join.