CN114405843A - Method for selecting abnormal lithium ion battery in capacity grading process - Google Patents
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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Abstract
The invention discloses a method for selecting abnormal lithium ion batteries in a capacity grading process, which comprises the following steps: s1, battery loading: laying the batteries after formation at each point in the grading cabinet; s2, pasting a bar code: pasting a bar code on a shell on the outer side of the battery, and acquiring data in the bar code of the battery by using a bar code gun; s3, capacity grading: grading the battery according to a set capacity grading flow; s4, data derivation: exporting various data of the battery in the capacity grading process after the capacity grading is finished; s5, setting standard parameters of judgment data: setting and judging data standard parameters according to the requirements of various data; s6, data comparison: comparing the data derived in the step S4 with the standard parameters of the judgment data set in the step S5; s7, battery selection: the qualified batteries enter the next procedure, and the unqualified batteries are placed; s8, carrying out the capacity grading process again on the unqualified battery; the invention can quickly find out the battery with abnormal data in the capacity grading process, and has accurate data judgment and quick selection.
Description
Technical Field
The invention belongs to the technical field of new energy batteries, and particularly relates to a method for selecting abnormal lithium ion batteries in a capacity grading process.
Background
In recent years, with the increasing scarcity of petroleum resources and the increasing severity of environmental pollution, it is urgent to develop new energy to replace the traditional petrochemical energy, and under this background, it is important to accelerate the development of lithium ion batteries without environmental pollution.
Under the strong support of the state, the lithium ion battery industry is rapidly developed in recent years, and although the manufacturing steps of the lithium ion battery are slightly different, the manufacturing steps are generally consistent, and all the manufacturing steps comprise: stirring, coating, rolling, tabletting, core forming, welding, drying, liquid injection, laying aside, formation charging, sealing, formation discharging, battery aging, OCV testing, capacity grading, sorting and shipment.
In the capacity grading process, due to the fact that battery data errors can be caused by poor contact of the capacity grading cabinet or the problem of abnormal position of the cabinet, troubles are added to the subsequent battery matching process, and matching errors are caused; in addition, the battery itself may have a problem, and the problematic battery may be mixed into the assembled battery, which may affect the overall performance of the assembled battery, and thus reduce the use effect.
Problems that may generally exist are: abnormal charging and discharging current, abnormal charging constant current ratio, abnormal capacity and abnormal voltage; such a problem is not preferable to be checked by staff one by one, which is both labor-consuming and error-prone.
Disclosure of Invention
The invention aims to provide a method for selecting abnormal lithium ion batteries in a capacity grading process, which can effectively select bad batteries in the capacity grading process of the lithium ion batteries.
In order to solve the technical problems, the invention provides the following technical scheme:
a method for selecting abnormal lithium ion batteries in a capacity grading process comprises the following steps:
s1, battery loading: standing the formed batteries for 16-24 h in an environment with the temperature of 25 +/-2 ℃, and placing each battery at each point in the grading cabinet after the standing is finished;
s2, pasting a bar code: pasting bar codes on the shell on the outer side of the battery, scanning the codes of the batteries by using a bar code gun, and acquiring data in the bar codes of the batteries;
s3, capacity grading: grading the battery according to a set capacity grading flow;
s4, data derivation: exporting various data of the battery in the capacity grading process after the capacity grading is finished;
s5, setting standard parameters of judgment data: setting and judging data standard parameters according to the requirements of various data;
s6, data comparison: comparing the data derived in the step S4 with the standard parameters of the judgment data set in the step S5;
s7, battery selection: the qualified batteries enter the next procedure, the unqualified batteries are taken down from the capacity grading cabinet and marked for classified placement;
and S8, carrying out the capacity grading process again on the unqualified battery.
The following is a further optimization of the above technical solution of the present invention:
further optimization: in step S3, the capacity classifying process is performed as follows:
the first step is as follows: placing the battery on a grading cabinet for standing for 2 min;
the second step is that: charging with 0.5C constant current and constant voltage, wherein the current limit is 0.02C, and the time is 180min, wherein the voltage limit of the lithium iron phosphate battery is 3.65V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 4.15V;
the third step: continuously standing the battery on the grading cabinet for 5 min;
the fourth step: discharging with constant current of 0.5C for 180 min; wherein the voltage limit of the lithium iron phosphate battery is 2.5V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 3.0V;
the fifth step: continuously standing the battery on the grading cabinet for 5 min;
and a sixth step: charging with 0.5C constant current and constant voltage, wherein the current limit is 0.02C, and the time is 180min, wherein the voltage limit of the lithium iron phosphate battery is 3.65V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 4.15V;
the seventh step: continuously standing the battery on the grading cabinet for 5 min;
eighth step: discharging with constant current of 0.5C for 180 min; wherein the voltage limit of the lithium iron phosphate battery is 2.5V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 3.0V;
the ninth step: continuously standing the battery on the grading cabinet for 5 min;
the tenth step: discharging with constant current of 0.02C for 60 min; wherein the voltage limit of the lithium iron phosphate battery is 2.0V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 2.5V;
the eleventh step: continuously standing the battery on the grading cabinet for 5 min;
the twelfth step: charging with 0.3C constant current for 120min, and limiting the charging capacity to 0.5 rated capacity, wherein the voltage limit of the lithium iron phosphate battery is 3.65V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 4.15V;
the thirteenth step: and (6) ending.
Further optimization: the data derived in step S4 includes: a second-step constant-current constant-voltage charging cut-off current I1, a second-step charging capacity C1, a fourth-step constant-current discharging current I2, a sixth-step constant-current constant-voltage constant-current ratio H, a sixth-step constant-current constant-voltage charging cut-off current I3, an eighth-step constant-current discharging current I4, a tenth-step constant-current discharging current I5, a twelfth-step constant-current charging current I6, an eighth-step discharging capacity C2 and a twelfth-step charging capacity C3.
Further optimization: in step S5, the determining the data criterion parameter includes:
i1 max: secondly, stopping the upper limit of the current in constant-current and constant-voltage charging;
i1 min: secondly, stopping current lower limit in constant current and constant voltage charging;
c1 max: the second step is charging capacity upper limit;
c1 min: the second step is the lower limit of the charging capacity;
i2 max: fourthly, constant current discharging current upper limit;
i2 min: fourthly, constant current discharging current lower limit;
hmax: sixthly, keeping constant current, constant voltage and constant current at the upper limit;
hmin: sixthly, constant current, constant voltage and constant current ratio lower limit;
i3 max: sixthly, stopping the upper limit of the current in constant-current and constant-voltage charging;
i3 min: sixthly, stopping the lower limit of current in constant-current and constant-voltage charging;
i4 max: eighth step, constant current discharging current upper limit;
i4 min: eighthly, constant current discharging current lower limit;
i5 max: the tenth step is that the upper limit of the constant current discharge current is reached;
i5 min: the tenth step is that the constant current discharge current is lower limited;
i6 max: twelfth, limiting the constant current charging current;
i6 min: twelfth, the lower limit of the constant current charging current is set;
c2 max: the eighth step of discharging capacity upper limit;
c2 min: the eighth step is the lower limit of the discharge capacity;
c3 max: the twelfth step of charging capacity upper limit;
c3 min: and twelfth, charging capacity lower limit.
Further optimization: in step S6, the alignment criteria are: i1 is more than or equal to I1min and less than or equal to I1 max; c1min is less than or equal to C1 is less than or equal to C1 max; i2 is more than or equal to I2min and less than or equal to I2 max; h is more than or equal to Hmin and less than or equal to Hmax; i3 is more than or equal to I3min and less than or equal to I3 max; i4 is more than or equal to I4min and less than or equal to I4 max; i5 is more than or equal to I5min and less than or equal to I5 max; i6 is more than or equal to I6min and less than or equal to I6 max; c2min is less than or equal to C2 and less than or equal to C2 max; c3min is less than or equal to C3 is less than or equal to C3 max.
Further optimization: in step S7, the defective battery is subjected to the capacity grading process again, and if the same problem occurs repeatedly in the battery for more than 2 times, the battery is subjected to B-level reduction processing.
Further optimization: in step S7, when the unqualified battery is subjected to the capacity grading process again, if each item of data of the battery meets the qualified requirement, the point corresponding to the battery in the capacity grading cabinet is further detected.
By adopting the technical scheme, the battery data processing method is ingenious in conception, all factors which possibly influence the accuracy of the battery data can be judged by the IF function through the judgment data standard parameters set in the early stage, no judgment error occurs, the data correspond to the battery point positions one by one, and the battery with abnormal data can be quickly found out; by adopting the technical scheme, the labor intensity of workers can be reduced, and the judgment data can be accurate and can be selected quickly.
The present invention will be further described with reference to the following examples.
Drawings
FIG. 1 is a schematic overall flow chart of an embodiment of the present invention.
Detailed Description
Example (b): referring to fig. 1, a method for selecting an abnormal lithium ion battery in a capacity grading process includes the following steps:
and printing corresponding bar codes according to the batch number, the quantity and the material of the batteries.
In this example, the batch number of the batch of batteries is 100, the number of the batteries is 2000, and the material is BB.
Barcode coding is a100BB0001 to a100BB2000, where a100 represents: batch 100, BB denotes: the batch of cells was made of BB; 0001 represents: the cell was the first of the batch of cells.
The rated capacity of the batch of batteries was 100 Ah.
According to the performance of the batch of batteries, the standard parameters of the judgment data of the batteries are set as follows:
in the second step, the upper limit I1max of the cut-off current of the constant-current constant-voltage charging is as follows: 5050 mA;
in the second step, the lower limit I1min of the cut-off current of the constant-current constant-voltage charging is as follows: 4500 mA;
the second-step upper charge capacity limit C1max is: 80000 mAh;
the lower limit of the charge capacity C1min in the second step is as follows: 70000 mAh;
in the fourth step, the upper limit I2max of the constant current discharge current is as follows: 50200 mA;
in the fourth step, the lower limit I2min of the constant current discharge current is as follows: 49800 mA;
in the sixth step, the upper limit Hmax of the constant current, the constant voltage and the constant current ratio is as follows: 99.99 percent;
in the sixth step, the lower limit Hmin of the constant current, the constant voltage and the constant current ratio is as follows: 92 percent;
in the sixth step, the upper limit I3max of the cutoff current of the constant-current constant-voltage charging is as follows: 1050 mA;
in the sixth step, the lower limit of the cut-off current I3min of the constant-current constant-voltage charging is as follows: 500 mA;
the upper limit I4max of the constant current discharge current in the eighth step is as follows: 50200 mA;
the eighth step, the lower limit of the constant current discharge current I4min is as follows: 49800 mA;
in the tenth step, the upper limit of the constant current discharge current I5max is as follows: 2100 mA;
in the tenth step, the lower limit of the constant current discharge current I5min is as follows: 1900 mA;
in the twelfth step, the upper limit I6max of the constant current charging current is: 30200 mA;
in the twelfth step, the lower limit of the constant current charging current I6min is as follows: 29800 mA;
the upper limit of the discharge capacity C2max in the eighth step is as follows: 110000 mAh;
the lower limit C2min of the discharge capacity in the eighth step is as follows: 90000 mAh;
the upper limit C3max of the charge capacity in the twelfth step is: 50200 mAh;
the twelfth lower limit of the charging capacity C3min is as follows: 49800 mAh.
In this embodiment, the standard parameter of the determination data may be stored in a screening standard table of an Excel table, where the screening standard table is shown as the following table:
s1, battery loading: and (3) standing the formed batteries for 16-24 h in an environment with the temperature of 25 +/-2 ℃, and placing each battery at each point in the grading cabinet after the standing is finished.
S2, pasting a bar code: after the batteries are put into the cabinet, bar codes are pasted on the shell on the outer side of the batteries, after the bar codes are pasted, a bar code gun is used for scanning the batteries one by one according to the sequence of data export of the capacity grading cabinet, the data in the bar codes of the batteries are imported into a screening form of an Excel form, and the screening form is shown as the following table:
as can be seen from the above table, the first column of the screening table is the serial number; the second column is a battery bar code; the third column is the point in the grading cabinet corresponding to the battery.
Where the sites are in the form of a-B-C, where a represents the cabinet number, B represents the row of the cabinet, and C represents the battery in row B.
S3, carrying out capacity grading on the battery (taking the battery with the rated capacity of 100Ah as an example), wherein the capacity grading process comprises the following steps:
the first step is as follows: placing the battery on a cabinet for 2 min;
the second step is that: charging with 0.5C constant current and constant voltage, wherein the current limit is 0.05C, and the time is 180min, wherein the voltage limit of the lithium iron phosphate battery is 3.65V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 4.15V;
the third step: standing the battery for 5 min;
the fourth step: discharging with constant current of 0.5C for 180 min; wherein the voltage limit of the lithium iron phosphate battery is 2.5V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 3.0V;
the fifth step: standing the battery on a grading cabinet for 5 min;
and a sixth step: charging with 0.5C constant current and constant voltage, wherein the current limit is 0.01C, and the time is 180min, wherein the voltage limit of the lithium iron phosphate battery is 3.65V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 4.15V;
the seventh step: standing the battery on a grading cabinet for 5 min;
eighth step: discharging with constant current of 0.5C for 180 min; wherein the voltage limit of the lithium iron phosphate battery is 2.5V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 3.0V;
the ninth step: standing the battery on a grading cabinet for 5 min;
the tenth step: discharging with constant current of 0.02C for 60 min; wherein the voltage limit of the lithium iron phosphate battery is 2.0V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 2.5V;
the eleventh step: standing the battery on a grading cabinet for 5 min;
the twelfth step: charging with 0.3C constant current for 120min, and limiting the charging capacity to 0.5 rated capacity, wherein the voltage limit of the lithium iron phosphate battery is 3.65V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 4.15V;
the thirteenth step: and (6) ending.
S4, data derivation: and after the capacity grading is finished, data of a second-step constant-current constant-voltage charging cut-off current I1, a second-step charging capacity C1, a fourth-step constant-current discharging current I2, a sixth-step constant-current constant-voltage constant-current ratio H, a sixth-step constant-current constant-voltage charging cut-off current I3, an eighth-step constant-current discharging current I4, a tenth-step constant-current discharging current I5, a twelfth-step constant-current charging current I6, an eighth-step discharging capacity C2 and a twelfth-step charging capacity C3 in the capacity grading process are derived.
The exported data is stored in a screening table of the Excel table, and the bar codes are ensured to be in one-to-one correspondence with the data, and the screening table is shown as the following table:
the standard parameters of the judgment data in the screening standard table can adopt an if function to judge each item of data in the screening standard table, wherein the data in the capacity grading process is judged to be OK when each item of data is within the range of the corresponding judgment standard, and is judged to be NG when each item of data is out of the range of the corresponding judgment standard (OK represents that the battery is qualified, and NG represents that the battery is in problem).
In the present embodiment, the if function is the prior art, and can be written according to the standard parameters of the actual judgment data.
After the determination was completed, the results are shown in the following table:
as can be seen from the above table, the first inspection item at the point 1-1-3 has a problem, the battery is found out on the capacity grading cabinet, the battery is marked with the number "1" by a red pen, the second inspection item at the point 1-1-7 has a problem, the battery is found out on the capacity grading cabinet, the battery is marked with the number "2" by a red pen, and so on, the batteries with different problems are marked with different numbers by red pens.
And (4) carrying out the capacity grading process for multiple times on the sorted out problem battery, if the same problem of the battery is repeated for multiple times, discharging the problem of the cabinet, and carrying out B-gear reduction treatment on the battery if the battery has a problem.
In this example, the defective cell can be subjected to the capacity grading process 3 more times.
If the unqualified battery is subjected to the secondary capacity grading process, when all data of the battery meet the qualified requirements, the battery is free of problems, and whether the point position corresponding to the battery in the capacity grading cabinet is in a problem needs to be further detected.
By adopting the technical scheme, the invention takes the consideration of careful and rigorous processes, fully considers the problem of process abnormity possibly occurring in the capacity grading process of the lithium ion battery, and sorts out the battery with problems by integrating the data of each stage which can influence the accuracy of the final data in the capacity grading process, thereby ensuring the accuracy of the circulated capacity grading data of the battery.
It will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in the embodiments described above without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims.
Claims (7)
1. A method for selecting abnormal lithium ion batteries in a capacity grading process is characterized in that: the method comprises the following steps:
s1, battery loading: standing the formed batteries for 16-24 h in an environment with the temperature of 25 +/-2 ℃, and placing each battery at each point in the grading cabinet after the standing is finished;
s2, pasting a bar code: pasting bar codes on the shell on the outer side of the battery, scanning the codes of the batteries by using a bar code gun, and acquiring data in the bar codes of the batteries;
s3, capacity grading: grading the battery according to a set capacity grading flow;
s4, data derivation: exporting various data of the battery in the capacity grading process after the capacity grading is finished;
s5, setting standard parameters of judgment data: setting and judging data standard parameters according to the requirements of various data;
s6, data comparison: comparing the data derived in the step S4 with the standard parameters of the judgment data set in the step S5;
s7, battery selection: the qualified batteries enter the next procedure, the unqualified batteries are taken down from the capacity grading cabinet and marked for classified placement;
and S8, carrying out the capacity grading process again on the unqualified battery.
2. The method of claim 1, wherein the method comprises the following steps: in step S3, the capacity classifying process is performed as follows:
the first step is as follows: placing the battery on a grading cabinet for standing for 2 min;
the second step is that: charging with 0.5C constant current and constant voltage, wherein the current limit is 0.02C, and the time is 180min, wherein the voltage limit of the lithium iron phosphate battery is 3.65V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 4.15V;
the third step: continuously standing the battery on the grading cabinet for 5 min;
the fourth step: discharging with constant current of 0.5C for 180 min; wherein the voltage limit of the lithium iron phosphate battery is 2.5V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 3.0V;
the fifth step: continuously standing the battery on the grading cabinet for 5 min;
and a sixth step: charging with 0.5C constant current and constant voltage, wherein the current limit is 0.02C, and the time is 180min, wherein the voltage limit of the lithium iron phosphate battery is 3.65V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 4.15V;
the seventh step: continuously standing the battery on the grading cabinet for 5 min;
eighth step: discharging with constant current of 0.5C for 180 min; wherein the voltage limit of the lithium iron phosphate battery is 2.5V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 3.0V;
the ninth step: continuously standing the battery on the grading cabinet for 5 min;
the tenth step: discharging with constant current of 0.02C for 60 min; wherein the voltage limit of the lithium iron phosphate battery is 2.0V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 2.5V;
the eleventh step: continuously standing the battery on the grading cabinet for 5 min;
the twelfth step: charging with 0.3C constant current for 120min, and limiting the charging capacity to 0.5 rated capacity, wherein the voltage limit of the lithium iron phosphate battery is 3.65V, and the voltage limit of the lithium nickel cobalt manganese oxide battery is 4.15V;
the thirteenth step: and (6) ending.
3. The method of claim 2, wherein the method comprises the following steps: the data derived in step S4 includes: a second-step constant-current constant-voltage charging cut-off current I1, a second-step charging capacity C1, a fourth-step constant-current discharging current I2, a sixth-step constant-current constant-voltage constant-current ratio H, a sixth-step constant-current constant-voltage charging cut-off current I3, an eighth-step constant-current discharging current I4, a tenth-step constant-current discharging current I5, a twelfth-step constant-current charging current I6, an eighth-step discharging capacity C2 and a twelfth-step charging capacity C3.
4. The method of claim 3, wherein the method comprises the following steps: in step S5, the determining the data criterion parameter includes:
i1 max: secondly, stopping the upper limit of the current in constant-current and constant-voltage charging;
i1 min: secondly, stopping current lower limit in constant current and constant voltage charging;
c1 max: the second step is charging capacity upper limit;
c1 min: the second step is the lower limit of the charging capacity;
i2 max: fourthly, constant current discharging current upper limit;
i2 min: fourthly, constant current discharging current lower limit;
hmax: sixthly, keeping constant current, constant voltage and constant current at the upper limit;
hmin: sixthly, constant current, constant voltage and constant current ratio lower limit;
i3 max: sixthly, stopping the upper limit of the current in constant-current and constant-voltage charging;
i3 min: sixthly, stopping the lower limit of current in constant-current and constant-voltage charging;
i4 max: eighth step, constant current discharging current upper limit;
i4 min: eighthly, constant current discharging current lower limit;
i5 max: the tenth step is that the upper limit of the constant current discharge current is reached;
i5 min: the tenth step is that the constant current discharge current is lower limited;
i6 max: twelfth, limiting the constant current charging current;
i6 min: twelfth, the lower limit of the constant current charging current is set;
c2 max: the eighth step of discharging capacity upper limit;
c2 min: the eighth step is the lower limit of the discharge capacity;
c3 max: the twelfth step of charging capacity upper limit;
c3 min: and twelfth, charging capacity lower limit.
5. The method of claim 4, wherein the method comprises the following steps: in step S6, the alignment criteria are: i1 is more than or equal to I1min and less than or equal to I1 max; c1min is less than or equal to C1 is less than or equal to C1 max; i2 is more than or equal to I2min and less than or equal to I2 max; h is more than or equal to Hmin and less than or equal to Hmax; i3 is more than or equal to I3min and less than or equal to I3 max; i4 is more than or equal to I4min and less than or equal to I4 max; i5 is more than or equal to I5min and less than or equal to I5 max; i6 is more than or equal to I6min and less than or equal to I6 max; c2min is less than or equal to C2 and less than or equal to C2 max; c3min is less than or equal to C3 is less than or equal to C3 max.
6. The method of claim 1, wherein the method comprises the following steps: in step S7, the defective battery is subjected to the capacity grading process again, and if the same problem occurs repeatedly in the battery for more than 2 times, the battery is subjected to B-level reduction processing.
7. The method of claim 1, wherein the method comprises the following steps: in step S7, when the unqualified battery is subjected to the capacity grading process again, if each item of data of the battery meets the qualified requirement, the point corresponding to the battery in the capacity grading cabinet is further detected.
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| CN114405843B (en) | 2023-09-08 |
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