CN116148694A - Screening method, screening device, screening equipment and storage medium for lithium ion battery cells - Google Patents
Screening method, screening device, screening equipment and storage medium for lithium ion battery cells Download PDFInfo
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- 238000012216 screening Methods 0.000 title claims abstract description 57
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- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 title abstract description 21
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 5
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- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 1
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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
- B07C5/34—Sorting according to other particular properties
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
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- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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Abstract
The invention discloses a screening method, a screening device, screening equipment and a storage medium of a lithium ion battery cell, wherein the method comprises the following steps: micro-charging is carried out on the battery cell to be formed by injecting the electrolyte, corresponding charging data are obtained and recorded according to a set time interval, wherein the micro-charging means that the charging current is controlled within a preset low current range, and the charging voltage is controlled within a preset low voltage range; drawing a discrimination curve according to the charge data recorded each time, wherein the discrimination curve comprises a (dQ/dV) -V curve or a voltage-capacity curve; according to the judging curve, whether the battery core is the self-discharging and amplifying battery core or not can be judged accurately under the conditions of less working procedures and less consumed time, and the self-discharging and amplifying battery core is screened before formation, so that the screening rate of the subsequent working procedures can be effectively improved, and the production cost is reduced.
Description
Technical Field
The invention belongs to the technical field of lithium batteries, and particularly relates to a screening method, a screening device, screening equipment and a storage medium of a lithium ion battery cell.
Background
For the lithium ion battery core, the positive electrode plate, the negative electrode plate and the diaphragm are assembled in a lamination or winding mode, and the problems of micro short circuit and the like in the battery core are possibly caused by the reasons of dust control, low material supply control and the like in the production process.
The battery manufacturing enterprises usually adopt a Hi-pot tester (high-voltage insulation test) to detect before formation, and establish a mathematical model based on data such as capacity, voltage and the like after formation aging and capacity-division aging to screen self-discharge large battery cells.
However, in actual production, the Hi-pot tester may have improper test parameter setting, and misjudgment and missed judgment, which may cause the self-discharge large cell to flow into subsequent processes. After the subsequent formation and capacity division processes, the self-discharge large battery cells which are missed to be judged in the step of testing by the Hi-port tester can be screened based on the related mathematical models established by the formation and capacity division data, so that the production cost of the subsequent processes is greatly increased, and the yield is reduced.
Disclosure of Invention
The invention provides a screening method, a screening device, screening equipment and a storage medium of lithium ion battery cells, which are used for solving the problems that the battery cells are detected by a tester before formation, so that the battery cells with large self-discharge are likely to flow into subsequent procedures, thereby increasing production cost and reducing yield.
According to a first aspect of the present invention, there is provided a method for screening lithium ion cells, the method comprising:
micro-charging the battery cell to be formed by injecting the electrolyte, and acquiring and recording corresponding charging data according to a set time interval, wherein the micro-charging means that the charging current is controlled within a preset low current range, and the charging voltage is controlled within a preset low voltage range;
drawing a discrimination curve according to the charge data recorded each time, wherein the discrimination curve comprises a (dQ/dV) -V curve or a voltage-capacity curve;
and judging whether the battery cell is a battery cell with large self-discharge according to the judging curve.
Optionally, the determining, according to the discrimination curve, whether the cell is a cell with large self-discharge includes:
comparing the discrimination curve of the battery cell with a pre-generated standard discrimination curve, wherein the standard discrimination curve is a discrimination curve drawn according to charging data after micro-charging is carried out on a normal battery cell to be formed by injected electrolyte;
if the discrimination curve is the (dQ/dV) -V curve, and each peak of the discrimination curve of the battery cell appears later than the peak of the standard discrimination curve, judging that the battery cell is a battery cell with large self-discharge;
and if the discrimination curve is the voltage-capacity curve and the capacity of the discrimination curve of the battery cell at a given voltage is smaller than the standard discrimination curve, judging that the battery cell is a battery cell with large self-discharge.
Optionally, the determining, according to the discrimination curve, whether the cell is a cell with large self-discharge includes:
determining a representative charging parameter value of the discrimination curve;
determining a reference charging parameter value of the battery cell;
acquiring a difference value between the representative charging parameter value and the reference charging parameter value;
and if the difference value is smaller than or equal to the set difference threshold value of the discrimination curve, judging that the battery cell is a battery cell with large self-discharge.
Optionally, the determining the representative charging parameter value of the discriminant curve includes:
and taking the abscissa value of the appointed position of the discrimination curve as a representative charging parameter value.
Optionally, the determining the reference charging parameter value of the battery cell includes:
acquiring discrimination curves of other electric cores generated in the same batch with the electric core;
and taking the average value of the abscissa at the designated position of all the discrimination curves of the battery cells in the same batch as the reference charging parameter value.
Optionally, if the discrimination curve is the (dQ/dV) -V curve, the specified position is the first peak of the discrimination curve;
and if the discrimination curve is the voltage-capacity curve, the designated position is a position with the ordinate being the given voltage.
Optionally, the obtaining a difference value between the representative charging parameter value and the reference charging parameter value includes:
calculating a difference between the representative charging parameter value and the reference charging parameter value;
and taking the ratio of the difference value to the reference charging parameter value as the difference value between the representative charging parameter value and the reference charging parameter value.
According to a second aspect of the present invention, there is provided a screening apparatus for lithium ion cells, the apparatus comprising:
the micro-charging module is used for carrying out micro-charging on the battery cell to be formed by the injected electrolyte, and acquiring and recording corresponding charging data according to a set time interval, wherein the micro-charging refers to controlling the charging current in a preset low current range and controlling the charging voltage in a preset low voltage range;
the drawing module is used for drawing a discrimination curve according to the charging data recorded each time, wherein the discrimination curve comprises a (dQ/dV) -V curve or a voltage-capacity curve;
and the judging module is used for judging whether the battery cell is a battery cell with large self-discharge according to the judging curve.
According to a third aspect of the present invention, there is provided an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a method for screening lithium ion cells according to any of the embodiments of the present invention.
According to a fourth aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute a method for screening lithium ion cells according to any embodiment of the present invention.
The technical scheme of the embodiment of the invention provides a screening method of lithium ion battery cells, when the battery cells are screened, the battery cells to be formed by injected electrolyte can be subjected to micro-charging, corresponding charging data are acquired and recorded according to a set time interval, wherein the micro-charging means that charging current is controlled within a preset low current range, charging voltage is controlled within a preset low voltage range, a discrimination curve is drawn according to the charging data recorded each time, whether the battery cells are battery cells with large self-discharge is judged according to the discrimination curve, screening of the battery cells with large self-discharge is completed by utilizing the characteristics of the discrimination curve of the battery cells with large self-discharge, quick judgment of the battery cells with large self-discharge can be realized, the battery cells with large self-discharge can be screened before formation, the screening rate of subsequent procedures can be effectively improved, and the production cost is reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a screening method of a lithium ion battery cell according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a dQ/dV-V curve provided in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of a voltage-capacity curve provided in accordance with an embodiment of the present invention;
fig. 4 is a flowchart of a method for screening lithium ion battery cells according to a second embodiment of the present invention;
fig. 5 is a flowchart of screening a lithium ion battery cell according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of a screening device for lithium ion battery cells according to a fourth embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device for implementing a screening method of a lithium ion battery cell according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a screening method for a lithium ion battery cell according to a first embodiment of the present invention.
In the existing method for screening the self-amplifying battery cells, the self-amplifying battery cells are screened mainly based on the self-discharging voltage drop after formation-capacity division-aging. The chemical synthesis is used for activating the electrochemical performance of the lithium battery, and is divided into the steps of classifying and screening the voltage, the capacity and the internal resistance of the lithium battery once, and ageing is used for standing at a high temperature.
Therefore, the high-accuracy screening self-amplifying battery cell is realized before formation, and the battery cell is prevented from flowing into the next process, so that the screening rate of the next process can be effectively improved, and the production cost can be effectively reduced.
The method may be performed by a lithium ion cell screening device, which may be implemented in hardware and/or software.
As shown in fig. 1, the present embodiment may include the following steps:
s110, carrying out micro-charging on the battery cell to be formed by injecting the electrolyte, and acquiring and recording corresponding charging data according to a set time interval.
In this embodiment, the micro-charging refers to controlling the charging current within a preset low current range and the charging voltage within a preset low voltage range, specifically, the micro-charging may be a constant-current and constant-voltage charging process, the preset low current range may be 0.01-0.1C, the preset low voltage range may be 0.5-2.2V, and for the preset low voltage range, the voltage lower than the voltage at which the battery core forms the SEI film should be used, and since the voltage at which the lithium iron phosphate battery forms the SEI film is about 2.2V, the preset low voltage range may be set within the range of 0.5-2.2V.
Before formation, the cell filled with the electrolyte is subjected to micro-charging, and corresponding charging data can be obtained and recorded according to a set time interval in the micro-charging process, wherein the set time interval can be one of duration values ranging from 1s to 5 s. The charging data may obtain a charging capacity and a voltage corresponding to the time.
S120, drawing a discrimination curve according to the charging data recorded each time.
From the sets of charging data recorded during the charging process, a discrimination curve may be drawn, which in this embodiment includes a (dQ/dV) -V curve or a voltage-capacity curve.
In one embodiment, the discrimination curve may be determined based on a dQ/dV curve.
According to the charging data, the voltage and the charging capacity in the charging data of the n+1th group can be subtracted, so that one dV and dQ data can be obtained, all the charging data are sequentially processed, a series of dV and dQ data can be obtained, dQ/dV can be obtained by dividing dQ by dV, dQ/dV can be used as an ordinate, voltage can be used as an abscissa, drawing of a discrimination curve can be completed, and the obtained discrimination curve can refer to a dQ/dV-V curve schematic diagram of fig. 2, wherein a curve corresponding to black and a curve corresponding to gray are discrimination curves corresponding to different electric cores respectively.
In another embodiment, the discrimination curve is a voltage-capacity curve. Refer to a voltage-capacity curve diagram of fig. 3. The determination curve may be plotted based on the charge voltage and the battery capacity corresponding to the charge voltage.
S130, judging whether the battery cell is a battery cell with large self-discharge according to the judging curve.
For a discrimination curve of (dQ/dV) -V, since the anode/cathode material of the lithium battery is usually provided with one or more voltage platforms, for the lithium battery, a smaller fluctuation of the voltage within the range of the voltage platforms corresponds to a larger capacity, which can be displayed as a characteristic peak on the discrimination curve, each peak on the discrimination curve can be considered to represent an electrochemical reaction, a peak point can represent a phase change point of the material, and an area enclosed by the curve and the abscissa can represent the capacity charged or discharged in the phase change process. The position of the characteristic peak in the discrimination curve of the battery cell can be utilized to judge whether the battery cell is a battery cell with large self-discharge.
For the discrimination curve is a voltage-capacity curve, because the self-discharging large battery cell has the condition of electric leakage, whether the battery cell is the battery cell with large self-discharging can be judged based on the charging condition of the battery cell and the charging capacity pair of the battery cell.
The embodiment discloses a screening method of lithium ion battery cells, when screening battery cells, micro-charging can be carried out on battery cells to be formed by injected electrolyte, corresponding charging data are obtained and recorded according to set time intervals, wherein micro-charging means that charging current is controlled within a preset low current range, charging voltage is controlled within a preset low voltage range, a discrimination curve is drawn according to the charging data recorded each time, whether the battery cells are battery cells with large self-discharge is judged according to the discrimination curve, screening of the battery cells with large self-discharge is completed by utilizing the characteristics of the discrimination curve of the battery cells with large self-discharge, rapid judgment of the battery cells with large self-discharge can be achieved, the battery cells with large self-discharge are screened before formation, screening rate of subsequent procedures can be effectively improved, and production cost is reduced.
Example two
Fig. 4 is a flowchart of a screening method for lithium ion battery cells according to a second embodiment of the present invention, where the step of determining whether the battery cells are large self-discharge battery cells according to a determination curve is based on the first embodiment, and the method specifically includes the following steps:
s410, carrying out micro-charging on the battery cell to be formed by injecting the electrolyte, and acquiring and recording corresponding charging data according to a set time interval.
S420, drawing a discrimination curve according to the charging data recorded each time.
In the present embodiment, step S410 to step S420 may be explained in detail with reference to step S110 to step S120 in the first embodiment.
S430, comparing the discrimination curve of the battery cell with a pre-generated standard discrimination curve, wherein the standard discrimination curve is drawn according to charging data after micro-charging the normal battery cell to be formed by the injected electrolyte.
For the cell after liquid injection and before formation, the adsorption of the electrolyte on the surfaces of the positive and negative plates can form adsorption double-electric-layer potential, so that along with the infiltration of the electrolyte in the cell, the electrolyte can generate extremely large concentration polarization internal resistance, and as the concentration polarization generates tiny voltage, along with the infiltration process, the concentration polarization internal resistance can gradually increase and then disappear.
However, for a shorted cell, the self-discharge is greater due to internal micro-shorting, resulting in a slower voltage rise rate during the wetting than for a normal cell. Therefore, if an external power supply is applied to the battery cell, anions and cations in the electrolyte can move directionally to accelerate the infiltration of the electrolyte on the pole piece, and the self-discharge battery cell can have a slower charging rate than a normal battery cell due to leakage current.
Because the self-discharging large battery cell has the problems of slow charging rate, reduced capacity and the like due to the fact that the self-discharging large battery cell has a micro-short circuit inside, a normal battery cell can reach a set voltage in advance after being charged under the constant-current and constant-voltage conditions, therefore, the judging curve of the battery cell can be compared with the standard judging curve corresponding to the normal battery cell, and whether the battery cell is the battery cell with the self-discharging large battery cell can be determined.
S440, if the discrimination curve is a (dQ/dV) -V curve, and each peak of the discrimination curve of the battery cell appears later than the peak of the standard discrimination curve, the battery cell is judged to be a battery cell with large self-discharge.
In this embodiment, when the discrimination curve is the dQ/dV-V discrimination curve, reference may be made to fig. 2, in which in fig. 2, the black-colored curve is drawn according to the charging data after the 4 normal cells are micro-charged, and the black-colored curve is actually displayed by overlapping the 4 discrimination curves corresponding to the 4 normal cells. As can be seen from fig. 2, the discrimination curves of the normal cells almost coincide, and the black curve in fig. 2 can be used as a pre-generated standard discrimination curve. In fig. 2, the gray curve is drawn from the charging data after the micro-charging by the 4 short-circuited cells, which corresponds to the cells with large self-discharge, and it can be seen that the discrimination curves of the short-circuited cells are almost overlapped.
The discrimination curve of the battery cell can be compared with a standard discrimination curve which is generated in advance, and as can be seen from fig. 2, each peak in the standard discrimination curve corresponding to black is earlier than the curve corresponding to gray, so that each peak position of the discrimination curve can be obtained, the corresponding sampling time when the peak appears can be determined, and when each peak of the discrimination curve of the battery cell appears later than the peak of the standard discrimination curve, the battery cell can be judged to be a battery cell with large self-discharge.
When the method is implemented, if the discrimination curve of the battery cell is overlapped with the standard discrimination curve, the battery cell can be judged to be a normal battery cell.
S450, if the discrimination curve is a voltage-capacity curve, and the capacity of the discrimination curve of the battery cell at a given voltage is smaller than the standard discrimination curve, the battery cell is judged to be a battery cell with large self-discharge.
In this embodiment, when the discrimination curve is a voltage-capacity curve, the charging rate is slower than that of a normal cell due to the presence of leakage current in the cell with large self-discharge, so that the capacity of the cell with large self-discharge after charging is smaller than that of the normal cell at a given voltage, and therefore, when the discrimination curve of the cell with small capacity at a given voltage is smaller than that of the standard discrimination curve, the cell is determined to be the cell with large self-discharge.
As shown in fig. 3, the black curves in fig. 3 are also shown by the discrimination curves of 4 normal cells, the gray curves in fig. 3 are shown by the discrimination curves of 4 cells with large self-discharge, and it is seen that the relationship between the voltage and the capacity of the normal cells is almost consistent when the normal cells are charged, so that the discrimination curves of the normal cells almost coincide, and similarly, the discrimination curves of the cells with large self-discharge almost coincide.
As shown in fig. 3, when the given voltages are all 2V, it can be seen that the short-circuited cell (i.e., the cell with large self-discharge) has a corresponding capacity of 0.11Ah, and the normal cell has a corresponding capacity of 0.12Ah, so when the discrimination curve of the cell is smaller than the standard discrimination curve, the cell is determined to be the cell with large self-discharge.
The embodiment provides a screening method of lithium ion battery cells, when judging whether the battery cells are large-self-discharge battery cells according to a judging curve, the judging curve of the battery cells can be compared with a pre-generated standard judging curve, the standard judging curve is a judging curve drawn according to charging data of the battery cells after micro-charging the normal battery cells to be formed by electrolyte, if the judging curve is a (dQ/dV) -V curve, and when each wave crest of the judging curve of the battery cells appears later than the wave crest of the standard judging curve, the judging curve is the battery cells with large self-discharge, if the judging curve is a voltage-capacity curve, and when the capacity of the judging curve of the battery cells is smaller than the standard judging curve, the judging curve is the battery cells with large self-discharge, and by comparing the judging curve of the battery cells with the standard judging curve in a curve graph, whether the battery cells are large-self-discharge battery cells can be judged quickly, the related procedures are less, the screening time is saved, and the production cost is reduced.
Example III
Fig. 5 is a flowchart of a screening process of a lithium ion battery cell according to a third embodiment of the present invention, where the step of determining whether the battery cell is a battery cell with large self-discharge according to a determination curve is further described based on the first embodiment, and the method specifically includes the following steps:
s510, carrying out micro-charging on the battery cell to be formed by injecting the electrolyte, and acquiring and recording corresponding charging data according to a set time interval;
s520, drawing a discrimination curve according to the charge data recorded each time;
in the present embodiment, the detailed explanation of step S510 to step S520 may be referred to the explanation in the first embodiment.
S530, determining the representative charging parameter value of the discrimination curve.
In this embodiment, whether the discrimination curve is a (dQ/dV) -V curve or a voltage-capacity curve, the representative charge parameter value may be determined from some representative points in the discrimination curve as micro-charging proceeds.
For example, when the discrimination curve is a (dQ/dV) -V curve, a plurality of peaks may occur, and the peak having the highest peak value may be determined from the discrimination curve, with the abscissa value as the representative charging parameter value.
In one embodiment, step S530 specifically includes the following steps:
and taking the abscissa value of the designated position of the discrimination curve as a representative charging parameter value.
In this embodiment, in order to accelerate the speed of cell screening, the abscissa value of the specified position of the discriminant curve may be used as the representative charging parameter value, that is, after the discriminant curve is drawn, the discriminant curve may be directly positioned at the specified position to determine the representative charging parameter value.
S540, determining a reference charging parameter value of the battery cell.
In this embodiment, when determining whether the self-discharge of the battery cell is large, after determining the representative charging parameter value according to the discrimination curve of the battery cell, it is necessary to determine whether the signal is different by referring to the reference charging parameter value, so that the screening can be completed.
In one implementation, the reference charging parameter values corresponding to the battery cells may be preset according to empirical values.
In one embodiment, step S540 specifically includes the following steps:
s540-1, acquiring discrimination curves of other battery cells generated in the same batch with the battery cell;
s540-2, taking the average value of the abscissa at the designated position of all the discrimination curves of the battery cells in the same batch as the reference charging parameter value.
In this embodiment, in the process of producing the battery cells, mass production is generally performed, all the battery cells in the same production batch may be subjected to the same precharge operation, a discrimination curve is drawn for all the battery cells in the batch, after the discrimination curves corresponding to all the battery cells in the batch are obtained, the parameter values corresponding to the abscissa at the designated position may be averaged, and the obtained result is used as the reference charging parameter value.
In one embodiment, if the discrimination curve is a (dQ/dV) -V curve, the designated location is the first peak of the discrimination curve; if the discrimination curve is a voltage-capacity curve, the designated position is a position with an ordinate of a given voltage.
In this embodiment, when the discrimination curve is a (dQ/dV) -V curve, the designated position is the first peak of the discrimination curve, the abscissa value of the first peak of the discrimination curve may be used as the representative charging parameter value, and the abscissa values of the first peaks in the discrimination curves corresponding to all the cells in the same production lot may be averaged to determine the reference charging parameter value.
When the discrimination curve is a voltage-capacity curve, the designated position may be a position with an ordinate being a given voltage, where the voltage value of a specific given voltage may be determined according to the voltage when the normal battery cell is full. The corresponding capacity of the ordinate in the discrimination curve at the given voltage, that is, the corresponding abscissa value, may be used as the representative charging parameter value, and the average value of all the capacities of the ordinate in the discrimination curve corresponding to all the cells in the same production lot, that is, all the abscissa values, may be calculated to determine the reference charging parameter value.
S550, a difference value representing the charging parameter value and the reference charging parameter value is obtained.
After the representative charging parameter value and the reference charging parameter value of the battery cell are determined, a difference value can be determined based on the two values, so that whether the battery cell belongs to a normal battery cell or a battery cell with large self-discharge can be determined according to the difference value. In determining the difference value, a difference value between the representative charging parameter value and the reference charging parameter value may be determined first, and then the obtained quotient may be taken as the difference value according to dividing the obtained difference value by a specified value.
In one embodiment, step S550 specifically includes the following steps:
calculating a difference value representing the charging parameter value and a reference charging parameter value;
the ratio of the difference value to the reference charging parameter value is taken as a difference value representing the charging parameter value and the reference charging parameter value.
In this embodiment, when determining the difference value between the representative charge parameter value and the reference charge parameter value, the difference value between the representative charge parameter value and the reference charge parameter value may be calculated first, and then the obtained difference value is divided by the reference charge parameter value, and the obtained result is used as the difference value between the representative charge parameter value and the reference charge parameter value.
For example, when the discrimination curve is a (dQ/dV) -V curve, assuming that the voltage corresponding to the first occurrence of the peak value of the self-discharging large cell is 1.26V, and the reference charging parameter value determined according to the same batch of cells is 1.2V, the difference value is calculated as follows: (1.26-1.2)/1.2=0.05.
In another example, when the discrimination curve is a voltage-capacity curve, the capacity of the cell with large self-discharge reaches the cut-off voltage and the reference charging parameter value determined according to the cells in the same batch is 0.11Ah, the calculation process of the difference value is: (0.12-0.11)/0.11.apprxeq.0.09.
S560, if the difference value is smaller than or equal to the set difference threshold of the discrimination curve, the battery cell is judged to be the battery cell with large self-discharge.
In this embodiment, after determining the difference value, the difference value may be compared with a set difference threshold, where the set difference threshold may be set empirically, and the set difference thresholds corresponding to different types of discrimination curves are different.
Specifically, when the discrimination curve is a (dQ/dV) -V curve, and the difference value is less than or equal to 5%, the cell is judged to be a cell with large self-discharge. When the discrimination curve is a voltage-capacity curve and the difference value is less than or equal to 9%, the battery cell is judged to be a battery cell with large self-discharge.
In the method for screening the lithium ion battery cells, when judging whether the battery cells are large battery cells with self-discharge according to the judging curve, the reference charging parameter values of the battery cells can be determined first, the difference values of the representative charging parameter values and the reference charging parameter values are obtained, if the difference values are smaller than or equal to the set difference threshold value of the judging curve, the battery cells are judged to be large battery cells with self-discharge, whether the battery cells are large battery cells with self-discharge is determined through the difference between the representative charging parameter values and the reference charging parameter values, and accurate and rapid battery cell screening can be achieved.
Example IV
Fig. 6 is a schematic structural diagram of a screening device for lithium ion battery cells according to a fourth embodiment of the present invention, as shown in fig. 6, where the device includes:
the micro-charging module 610 is configured to perform micro-charging on a battery cell to be formed by injecting an electrolyte, and acquire and record corresponding charging data according to a set time interval, where the micro-charging refers to controlling a charging current within a preset low current range and controlling a charging voltage within a preset low voltage range;
a drawing module 620, configured to draw a discrimination curve according to the charge data recorded each time, where the discrimination curve includes a (dQ/dV) -V curve or a voltage-capacity curve;
and the judging module 630 is configured to judge whether the battery cell is a battery cell with large self-discharge according to the judging curve.
In one embodiment, the judging module 630 includes the following sub-modules:
the comparison submodule is used for comparing the discrimination curve of the battery cell with a standard discrimination curve which is generated in advance, wherein the standard discrimination curve is a discrimination curve drawn according to charging data after micro-charging is carried out on a normal battery cell to be formed by injected electrolyte;
the first judging submodule is used for judging that the battery cell is a battery cell with large self-discharge when the judging curve is the (dQ/dV) -V curve and each wave peak of the judging curve of the battery cell appears later than the wave peak of the standard judging curve;
and the second judging submodule is used for judging that the battery cell is a battery cell with large self-discharge when the judging curve is the voltage-capacity curve and the capacity of the judging curve of the battery cell under a given voltage is smaller than the standard judging curve.
In one embodiment, the judging module 630 includes the following sub-modules:
a representative charging parameter value determination submodule for determining a representative charging parameter value of the discriminant curve;
a reference charging parameter value determining sub-module for determining a reference charging parameter value of the battery cell;
a difference value obtaining sub-module, configured to obtain a difference value between the representative charging parameter value and the reference charging parameter value;
and the third judging submodule is used for judging that the battery cell is a battery cell with large self-discharge when the difference value is smaller than or equal to the set difference threshold value of the judging curve.
In one embodiment, the representative charging parameter value determination submodule is specifically configured to:
and taking the abscissa value of the appointed position of the discrimination curve as a representative charging parameter value.
In one embodiment, the reference charging parameter value determination submodule is specifically configured to:
acquiring discrimination curves of other electric cores generated in the same batch with the electric core;
and taking the average value of the abscissa at the designated position of all the discrimination curves of the battery cells in the same batch as the reference charging parameter value.
In one embodiment, if the discrimination curve is the (dQ/dV) -V curve, the specified location is the first peak of the discrimination curve;
and if the discrimination curve is the voltage-capacity curve, the designated position is a position with the ordinate being the given voltage.
In one embodiment, the difference value obtaining sub-module is specifically configured to:
calculating a difference between the representative charging parameter value and the reference charging parameter value;
and taking the ratio of the difference value to the reference charging parameter value as the difference value between the representative charging parameter value and the reference charging parameter value.
The screening device for the lithium ion battery cells provided by the embodiment of the invention can realize the screening method for the lithium ion battery cells provided by the first embodiment, the second embodiment and the third embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example five
Fig. 7 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 7, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM12 and the RAM13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a screening method for lithium ion cells.
In some embodiments, a method of screening lithium ion cells may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM12 and/or the communication unit 19. When the computer program is loaded into RAM13 and executed by processor 11, one or more steps of a method of screening lithium ion cells as described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform a method of screening lithium ion cells in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for screening lithium ion cells, the method comprising:
micro-charging the battery cell to be formed by injecting the electrolyte, and acquiring and recording corresponding charging data according to a set time interval, wherein the micro-charging means that the charging current is controlled within a preset low current range, and the charging voltage is controlled within a preset low voltage range;
drawing a discrimination curve according to the charge data recorded each time, wherein the discrimination curve comprises a (dQ/dV) -V curve or a voltage-capacity curve;
and judging whether the battery cell is a battery cell with large self-discharge according to the judging curve.
2. The method of claim 1, wherein said determining whether the cell is a self-discharging large cell based on the discrimination curve comprises:
comparing the discrimination curve of the battery cell with a pre-generated standard discrimination curve, wherein the standard discrimination curve is a discrimination curve drawn according to charging data after micro-charging is carried out on a normal battery cell to be formed by injected electrolyte;
if the discrimination curve is the (dQ/dV) -V curve, and each peak of the discrimination curve of the battery cell appears later than the peak of the standard discrimination curve, judging that the battery cell is a battery cell with large self-discharge;
and if the discrimination curve is the voltage-capacity curve and the capacity of the discrimination curve of the battery cell at a given voltage is smaller than the standard discrimination curve, judging that the battery cell is a battery cell with large self-discharge.
3. The method of claim 1, wherein said determining whether the cell is a self-discharging large cell based on the discrimination curve comprises:
determining a representative charging parameter value of the discrimination curve;
determining a reference charging parameter value of the battery cell;
acquiring a difference value between the representative charging parameter value and the reference charging parameter value;
and if the difference value is smaller than or equal to the set difference threshold value of the discrimination curve, judging that the battery cell is a battery cell with large self-discharge.
4. A method according to claim 3, wherein said determining representative charging parameter values of said discriminant curve comprises:
and taking the abscissa value of the appointed position of the discrimination curve as a representative charging parameter value.
5. The method of claim 4, wherein said determining a reference charging parameter value for the cell comprises:
acquiring discrimination curves of other electric cores generated in the same batch with the electric core;
and taking the average value of the abscissa at the designated position of all the discrimination curves of the battery cells in the same batch as the reference charging parameter value.
6. The method according to claim 4 or 5, wherein,
if the discrimination curve is the (dQ/dV) -V curve, the designated position is the first peak of the discrimination curve;
and if the discrimination curve is the voltage-capacity curve, the designated position is a position with the ordinate being the given voltage.
7. The method according to claim 3 or 4 or 5, wherein said obtaining a difference value of said representative charging parameter value and said reference charging parameter value comprises:
calculating a difference between the representative charging parameter value and the reference charging parameter value;
and taking the ratio of the difference value to the reference charging parameter value as the difference value between the representative charging parameter value and the reference charging parameter value.
8. A screening apparatus for lithium ion cells, the apparatus comprising:
the micro-charging module is used for carrying out micro-charging on the battery cell to be formed by the injected electrolyte, and acquiring and recording corresponding charging data according to a set time interval, wherein the micro-charging refers to controlling the charging current in a preset low current range and controlling the charging voltage in a preset low voltage range;
the drawing module is used for drawing a discrimination curve according to the charging data recorded each time, wherein the discrimination curve comprises a (dQ/dV) -V curve or a voltage-capacity curve;
and the judging module is used for judging whether the battery cell is a battery cell with large self-discharge according to the judging curve.
9. An electronic device, the electronic device comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a method of screening lithium ion cells as claimed in claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to execute a method for screening lithium ion cells according to claims 1-7.
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