CN116577674B - Method, device and storage medium for detecting battery performance - Google Patents
Method, device and storage medium for detecting battery performance Download PDFInfo
- Publication number
- CN116577674B CN116577674B CN202310856892.4A CN202310856892A CN116577674B CN 116577674 B CN116577674 B CN 116577674B CN 202310856892 A CN202310856892 A CN 202310856892A CN 116577674 B CN116577674 B CN 116577674B
- Authority
- CN
- China
- Prior art keywords
- battery
- magnetic field
- field relaxation
- value
- relaxation time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims description 44
- 238000001514 detection method Methods 0.000 claims abstract description 41
- 230000000875 corresponding effect Effects 0.000 claims description 29
- 230000001276 controlling effect Effects 0.000 claims description 10
- 238000007599 discharging Methods 0.000 claims description 9
- 230000002596 correlated effect Effects 0.000 claims description 4
- 230000007547 defect Effects 0.000 abstract description 16
- 238000004519 manufacturing process Methods 0.000 abstract description 10
- 238000005259 measurement Methods 0.000 abstract description 7
- 238000011156 evaluation Methods 0.000 abstract description 4
- 230000008859 change Effects 0.000 description 10
- 230000008569 process Effects 0.000 description 10
- 230000008901 benefit Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 230000002950 deficient Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000006641 stabilisation Effects 0.000 description 2
- 238000011105 stabilization Methods 0.000 description 2
- 230000000087 stabilizing effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- 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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- G—PHYSICS
- 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]
- G01R31/385—Arrangements for measuring battery or accumulator variables
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The invention provides a battery performance detection method, a device and a storage medium, wherein the detection method comprises the following steps: acquiring a plurality of first magnetic field relaxation times of a plurality of batteries with different K values after electric disturbance operation; establishing a database according to the K value of the battery and a plurality of first magnetic field relaxation times; acquiring a second magnetic field relaxation time of the battery to be detected after the electric disturbance operation; inquiring a database according to the second magnetic field relaxation time to determine the K value of the battery to be detected; and determining whether the battery to be detected is qualified or not according to the K value, and determining the performance grade of the battery to be detected. According to the battery performance detection method provided by the embodiment of the invention, through measurement of the electric disturbance operation and measurement of the magnetic field relaxation time and combination of the K value of the battery as a reference parameter, performance evaluation and classification are carried out on the battery to be detected, so that the battery defect detection time can be reduced, the battery production efficiency can be improved, and the performance grade of the battery can be determined, thereby facilitating classification of the battery.
Description
Technical Field
The present invention relates to the field of battery detection technologies, and in particular, to a method and apparatus for detecting battery performance, and a storage medium.
Background
Battery defects often directly affect the service life of the battery, so detection of corresponding battery defects is very important.
In the related art, the battery defect detection methods mainly comprise three methods, wherein the first method is to detect the defect by observing whether the surface of the battery has the defect or not, but the method has higher manual requirements, and has high false detection rate and leakage detection rate and low efficiency; secondly, the defect is judged by measuring the change of the internal resistance of the battery, but the method has high precision requirement and is not suitable for practical application; thirdly, the leakage condition is judged by measuring the voltage difference of the battery before and after standing, and the method can obtain the K value of the battery, but the measurement time is long and the efficiency is low.
As is well known, the K value is a physical quantity describing the self-discharge rate of a battery, and refers to the voltage drop of the battery per unit time.
The method comprises the following steps:
the open circuit voltage OCV1 of the battery is measured at time t1, the open circuit voltage OCV2 is measured at time t2 after the battery is stood for a period of time, and the K value is measured according to the following specific formula:
K=（OCV1-OCV2）/（t2-t1）
the larger the above-mentioned K value, the worse the battery performance, thus reflecting the more comprehensive defects inside the battery.
In addition, the requirements of different industries on the battery performance are different, and the detection method of the battery defects in the related technology cannot be classified and detected according to the requirements of different industries, so that the effective utilization rate and the production benefit of the battery are reduced to a certain extent.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, a first object of the present invention is to provide a method for detecting battery performance, which can reduce the time for detecting battery defects, improve the production efficiency of the battery, and determine whether the battery is qualified or not, and the performance level of the battery, so as to facilitate classification of the battery.
A second object of the present invention is to propose a computer readable storage medium.
A third object of the present invention is to provide a battery performance detection device.
To achieve the above object, an embodiment of a first aspect of the present invention provides a method for detecting battery performance, the method comprising: acquiring a plurality of first magnetic field relaxation times of a plurality of batteries with different K values after electric disturbance operation; establishing a database according to the K value of the battery and a plurality of first magnetic field relaxation times; acquiring a second magnetic field relaxation time of the battery to be detected after the electric disturbance operation; inquiring a database according to the second magnetic field relaxation time to determine the K value of the battery to be detected; and determining whether the battery to be detected is qualified or not according to the K value, and determining the performance grade of the battery to be detected.
According to the battery performance detection method provided by the embodiment of the invention, the relaxation time of the magnetic field is measured through the electric disturbance operation, and the K value of the battery is combined as the reference parameter to evaluate and classify whether the battery to be detected is qualified or not and the performance grade, so that the battery defect detection time can be reduced, the battery production efficiency can be improved, and the performance grade of the battery can be determined, so that the battery can be conveniently classified.
In some embodiments of the invention, the electrical perturbation operation comprises: and controlling the battery to continuously discharge at a preset constant current, and controlling the battery to stop discharging after a preset period of time, so that a changing magnetic field is generated inside the battery to form electric disturbance.
In some embodiments of the invention, querying a database to determine a K value of the battery to be detected based on the second magnetic field relaxation time comprises: when the first magnetic field relaxation time which is the same as the second magnetic field relaxation time is not queried in the database, acquiring a target relaxation time with the minimum absolute value of the difference between the first magnetic field relaxation times and the second magnetic field relaxation time; and determining the K value of the battery to be detected according to the target relaxation time.
In some embodiments of the invention, querying a database to determine a K value of the battery to be detected based on the second magnetic field relaxation time comprises: when the first magnetic field relaxation time which is the same as the second magnetic field relaxation time is not queried in the database and the second magnetic field relaxation time is between two adjacent first magnetic field relaxation times, K values corresponding to the two first magnetic field relaxation times are obtained; the larger of the two K values is taken as the K value of the battery to be detected.
In some embodiments of the invention, the detection method further comprises: and when the magnetic field relaxation time of the battery is different from the first magnetic field relaxation times, acquiring the K value of the battery, and updating the database according to the K value and the magnetic field relaxation time of the battery.
In some embodiments of the invention, the magnetic field relaxation time is positively correlated with the K value.
In some embodiments of the invention, the detection method further comprises: acquiring a critical K value of a battery; a range of K values greater than zero and less than or equal to a critical K value is partitioned to generate at least one performance level.
In some embodiments of the invention, the performance level is inversely related to the K value.
To achieve the above object, an embodiment of a second aspect of the present invention proposes a computer-readable storage medium having stored thereon a battery performance detection program which, when executed by a processor, implements the battery performance detection method of any one of the above embodiments.
In this embodiment, the processor executes the battery performance detection method stored in the memory to evaluate and classify the performance of the battery to be detected, so as to reduce the detection time of the battery defect, improve the production efficiency of the battery, and determine the performance level of the battery, thereby facilitating the classification of the battery.
To achieve the above object, an embodiment of a third aspect of the present invention provides a device for detecting battery performance, including: the first acquisition module is used for acquiring a plurality of first magnetic field relaxation times of a plurality of batteries with different K values after electric disturbance operation; the establishing module is used for establishing a database according to the K value of the battery and a plurality of first magnetic field relaxation times; the second acquisition module is used for acquiring a second magnetic field relaxation time of the battery to be detected after the electric disturbance operation; the first determining module is used for inquiring the database according to the second magnetic field relaxation time to determine the K value of the battery to be detected; and the second determining module is used for determining whether the battery to be detected is qualified or not according to the K value and determining the performance grade of the battery to be detected.
According to the battery performance detection device provided by the embodiment of the invention, firstly, the magnetic field relaxation time of the batteries with different K values after electric disturbance is acquired through the first acquisition module, the database is built through the relation between the K values and the magnetic field relaxation time in the batteries through the building module, the relaxation time of the batteries to be detected is acquired through the second acquisition module, then the database is queried through the first determination module to determine the K values of the batteries to be detected, and then the second determination module is utilized to determine whether the batteries to be detected are qualified or not and the performance grade of the batteries, so that the performance evaluation and classification of the batteries to be detected can be performed, the detection time of battery defects is reduced, the battery production efficiency is improved, and the performance grade of the batteries is determined, so that the batteries can be classified conveniently.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a method for detecting battery performance according to one embodiment of the invention;
FIG. 2 is a flow chart of a method for detecting battery performance according to another embodiment of the present invention;
FIG. 3 is a flow chart of a method for detecting battery performance according to another embodiment of the present invention;
FIG. 4 is a flow chart of a method for detecting battery performance according to another embodiment of the present invention;
fig. 5 is a block diagram showing the structure of a battery performance detection apparatus according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
The method of detecting battery performance according to the embodiment of the present invention is described below with reference to the drawings.
Fig. 1 is a flowchart illustrating a method for detecting battery performance according to an embodiment of the present invention.
Referring to fig. 1, an embodiment of a first aspect of the present invention provides a method for detecting battery performance, where the method includes:
s101, acquiring a plurality of first magnetic field relaxation times of a plurality of batteries with different K values after electric disturbance operation.
For example, a certain number of battery samples may be obtained by performing random screening in the same type of battery as the battery to be tested, measuring the first open circuit voltage OCV (Open Circuit Voltage) 1 of the battery samples at time t1, measuring the second open circuit voltage OCV2 of the battery samples at time t2 after standing for a period of time, and then calculating the K value of the battery samples using the formula k= (OCV 1-OCV 2)/(t 2-t 1).
Further, the battery samples corresponding to the different K values (K1, K2, K3...kn) calculated in the above steps are recorded as the acquisition sources of the database parameters, then the acquired battery samples with the different K values (K1, K2, K3...kn) are subjected to electric disturbance operation, and the first magnetic field relaxation time t of each battery sample is recorded.
In some embodiments, the electrical perturbation operation comprises: and controlling the battery to continuously discharge at a preset constant current, and controlling the battery to stop discharging after a preset period of time, so that a changing magnetic field is generated inside the battery to form electric disturbance.
Specifically, the discharge stopping operation may be performed by discharging the batteries having different K values with a constant current I and after the batteries continue to discharge for a preset period of time T, and at the instant when the batteries suddenly stop discharging, a disturbance may occur in the magnetic field of the batteries. In order to ensure that the batteries with different K values can all receive the same electric disturbance operation in the above embodiment, it is necessary to control the constant current for discharging each battery to be consistent with the preset duration of continuous discharging. After the batteries are electrically disturbed, magnetic field relaxation change can be generated, the atomic magnetometer is used for measuring the magnetic field change of each battery, the data of the magnetic field change of each battery are obtained, the relaxation time of the magnetic field is obtained, and the atomic magnetometer is used for measuring, so that the measurement accuracy can be greatly improved.
The magnetic field relaxation time is: the moment the battery is powered down begins, the time the magnetic field changes to the process of magnetic field stabilization.
In practical applications, the magnetic field relaxation time may be the total time from the time the magnetic field changes to the time the magnetic field stabilizes;
the magnetic field can be limited according to other corresponding conditions in the process of changing the magnetic field to stabilizing the magnetic field, and the relaxation time of a certain section of the magnetic field, such as the condition of voltage change, can be taken.
S102, establishing a database according to the K value of the battery and a plurality of first magnetic field relaxation times.
Specifically, the K value of the battery sample and the corresponding first magnetic field relaxation time may be recorded and matched, and these data may be stored in a structured database based on a database management system (e.g. MySQL) according to the first magnetic field relaxation time t corresponding to the battery with different K values, so as to form a database corresponding to the K value of the battery and the magnetic field relaxation time t.
Further, the first magnetic field relaxation time t may be taken as the X-axis and the K-value as the Y-axis in order from small to large, and a simulation map may be drawn. The change trend of the magnetic field relaxation time corresponding to the different K-value batteries can be shown through the simulation diagram, so that the difference of relaxation phenomena among the different K-value batteries can be more intuitively understood and compared. In this embodiment, the magnetic field relaxation time is positively correlated with the K value, that is, the larger the magnetic field relaxation time, the larger the K value of the corresponding battery, and the smaller the magnetic field relaxation time, the smaller the K value of the corresponding battery. It will be appreciated that the greater the K value or the longer the relaxation time, the greater the self-discharge rate of the current battery, the worse the battery performance, and that the different magnetic field relaxation times correspond to different K values, and that there are no different magnetic field relaxation times that correspond to the same K value.
Further, if the number of battery samples with different K values obtained in the above steps is small and cannot meet the quantization requirement of the database, steps S101 and S102 may be repeated to screen more battery samples with different K values so as to increase the detection accuracy of the battery performance.
S103, acquiring a second magnetic field relaxation time of the battery to be detected after the electric disturbance operation.
Specifically, the battery to be detected is discharged by a constant current I, the relaxation change of the magnetic field after the discharge is stopped for a preset duration T of continuous discharge, which is the same as that of a battery sample, is recorded, the measurement of the magnetic field change of each battery is carried out by an atomic magnetometer, and the data of the magnetic field change of each battery are obtained, so that the second magnetic field relaxation time T0 is obtained, and the measurement accuracy can be greatly improved by adopting the atomic magnetometer for measurement.
The second magnetic field relaxation time is: the moment the battery is powered down begins, the time the magnetic field changes to the process of magnetic field stabilization.
In practical applications, the second magnetic field relaxation time may be the total time from the time the magnetic field changes to the time the magnetic field stabilizes; the magnetic field can be limited according to other corresponding conditions in the process of changing the magnetic field to stabilizing the magnetic field, and the relaxation time of a certain section of the magnetic field, such as the condition of voltage change, can be taken. It should be noted that, the interception mode of the second magnetic field relaxation time is the same as that of the first magnetic field relaxation time, and the constant current and the preset duration used in the process of performing the electric perturbation operation on the battery to be detected in the embodiment must be the same as those used in the process of establishing the database, so as to ensure that the K value of the battery to be detected is accurately compared and determined.
S104, inquiring a database according to the second magnetic field relaxation time to determine the K value of the battery to be detected.
Specifically, after the second magnetic field relaxation time t0 of the battery to be detected after the electric disturbance operation is detected, the second magnetic field relaxation time t0 can be queried in a database to determine a first magnetic field relaxation time t equal to the second magnetic field relaxation time t0, and then a K value corresponding to the first magnetic field relaxation time t can be obtained according to the first magnetic field relaxation time t. Since the method for acquiring the magnetic field relaxation time of the battery is far more convenient and faster than the method for acquiring the K value of the battery, the K value of the battery to be detected can be rapidly determined by the method without long waiting time.
In some embodiments, the first magnetic field relaxation time t equal to the second magnetic field relaxation time t0 cannot be accurately queried due to incomplete database and other reasons, so that a problem that the K value of the battery to be detected cannot be determined is caused, and for the problem, the invention enumerates some embodiments to solve, and particularly refers to the following embodiments.
In one embodiment of the present invention, as shown in fig. 2, querying a database according to the second magnetic field relaxation time t0 to determine the K value of the battery to be detected includes: s201, when the first magnetic field relaxation time identical to the second magnetic field relaxation time t0 is not queried in the database, acquiring a target relaxation time with the smallest absolute value of the difference between the first relaxation time t and the second magnetic field relaxation time t 0. S202, determining the K value of the battery to be detected according to the target relaxation time.
For example, in determining the K value of the battery to be detected, the following steps may be performed: and searching a first magnetic field relaxation time t which is the same as the second magnetic field relaxation time t0 according to the second magnetic field relaxation time t0, and determining the K value of the battery to be detected according to the first magnetic field relaxation time t. If the first magnetic field relaxation time t, which is identical to the second magnetic field relaxation time t0, is not queried in the database, the following is performed: the absolute value of the difference between the first relaxation time t and the second magnetic field relaxation time t0 is obtained, then the target relaxation time with the smallest absolute value of the difference between the first relaxation time t and the second magnetic field relaxation time t0 is selected, and then the K value of the battery to be detected is determined according to the target relaxation time. That is, when the first magnetic field relaxation time t equal to the second magnetic field relaxation time t0 is not found in the database, the first magnetic field relaxation time t closest to the second magnetic field relaxation time t0 may be determined, and the first magnetic field relaxation time t is taken as the target magnetic field relaxation time, and then the database is queried according to the target relaxation time to determine the K value corresponding to the target magnetic field relaxation time, and the K value is taken as the K value of the battery to be detected.
When the second magnetic field relaxation time t0 does not have the corresponding first magnetic field relaxation time t in the database, the first magnetic field relaxation time closest to the second magnetic field relaxation time t according to t0 is selected as the target relaxation time from the plurality of first magnetic field relaxation times t, so that errors generated by the K value determined according to the target relaxation time are minimum, and the K value accuracy of the battery to be detected can be guaranteed to the greatest extent.
In another embodiment of the present invention, as shown in fig. 3, querying a database according to the second magnetic field relaxation time to determine the K value of the battery to be detected includes: s301, when the first magnetic field relaxation time t which is the same as the second magnetic field relaxation time t0 is not queried in the database and the second magnetic field relaxation time t0 is between two adjacent first magnetic field relaxation times t, K values corresponding to the two first magnetic field relaxation times are obtained. S302, taking the larger value of the two K values as the K value of the battery to be detected.
Specifically, in this embodiment, when the second magnetic field relaxation time t0 is acquired and it is queried that the second magnetic field relaxation time t0 does not correspond to the K value in the database, two first magnetic field relaxation times t closest to the second magnetic field relaxation time t0 may be determined first, where one is greater than the second magnetic field relaxation time t0 and one is less than the second magnetic field relaxation time t0, and the two first magnetic field relaxation times t closest to the second magnetic field relaxation time t0 are determined, and the larger value of the two first magnetic field relaxation times t is taken as the K value of the battery to be detected.
In the above embodiment, when the second magnetic field relaxation time t0 is between the two first magnetic field relaxation times t, the larger value of the K values corresponding to the two first magnetic field relaxation times t is taken as the K value corresponding to the second magnetic field relaxation time t0, so that the defective products in the battery are prevented from being divided into the superior products, and damage to the battery in the subsequent use process is avoided.
S105, determining whether the battery to be detected is qualified or not according to the K value, and determining the performance grade of the battery to be detected.
Specifically, since the K value of the battery may represent the self-discharge capability of the battery, the performance of the battery may be further determined according to the self-discharge capability of the battery, and then classified according to the performance of the battery, so as to be allocated to the fields with different requirements for performance level. Of course, a K value for judging whether the battery is acceptable may be set, and then whether the battery is acceptable may be judged according to the K value, and if the battery is unacceptable, the battery may be classified as defective and discarded or corrected. The number of performance levels in the embodiment may be determined according to actual situations, the K value corresponding to the performance level may be divided according to actual use situations, and the battery for determining whether the K value is acceptable may be determined according to actual situations or according to standard values, which is not particularly limited in the present invention.
In one embodiment of the present invention, as shown in fig. 4, the detection method further includes: s401, acquiring a critical K value of the battery. S402, a K value range greater than zero and less than or equal to a critical K value may be partitioned to generate at least one performance level.
Specifically, the battery is divided into a plurality of advantages and disadvantages according to the magnetic field relaxation time and the corresponding K value data recorded in the database established before. Since the larger the K value, the worse the performance of the battery, it is necessary to determine the critical K value δk of the battery that meets the standard performance. It should be noted that, the specific value of the critical K value may be determined according to the actual production standard and the use requirement, which is not specifically limited in this embodiment. In this embodiment, the battery with a K value less than or equal to δk is determined as being qualified, the battery with a K value higher than δk is determined as being unqualified, and the performance classification is performed on the battery with a K value less than or equal to the critical K value and greater than zero, that is, in this embodiment, only the qualified battery is subjected to the performance classification, and the unqualified battery can be directly classified as an unqualified area, without performing the performance classification, and the unqualified battery can be understood as not being put into use, so that the unqualified battery is not classified.
For example, a ranking of A, B, C, D, E may be set. The order of the battery performance is as follows: 0< A < B < C < D < E.ltoreq.δK, where the performance class A has the highest class and the performance class E has the lowest class. It should be noted that the K values corresponding to different levels may be a K value range, or may be a specific K value, and the performance level and the K value are in a negative correlation, that is, the higher the performance level, the smaller the corresponding K value.
In one embodiment of the present invention, the detection method further comprises: and when the magnetic field relaxation time of the battery is different from the first magnetic field relaxation times t, acquiring the K value of the battery, and updating the database according to the K value and the magnetic field relaxation times of the battery.
Specifically, in order to improve efficiency, in the process of starting to use the database in this embodiment, all the magnetic field relaxation times that the battery will appear and the corresponding K values thereof are not completely recorded, so that in the subsequent detection process, there will be a certain probability that the magnetic field relaxation times that are not recorded in the database will appear. For the above-mentioned situation, after the detection of the K values of a batch of batteries is completed, the embodiment may collect the second magnetic field relaxation time t0 that does not correspond to the plurality of first magnetic field relaxation times t in the database, measure the battery K value corresponding to the second magnetic field relaxation time t0, and update the database, so that when the same second magnetic field relaxation time occurs in the subsequent detection process, the corresponding battery K value may be obtained in time, and further improve the detection efficiency.
The scheme of the invention is described by a specific example, in a battery producer, after a first lot of batteries are produced in a first month, the magnetic field relaxation time and the K value of the first lot of batteries are measured and correspondingly stored in a database, in a second lot of batteries produced in a second month, the magnetic field relaxation time of the second lot of batteries can be measured, and then the corresponding K value is queried in the database, so that the determination speed of the K value of the battery is improved, and the batteries are graded according to the K value. The second battery lot may have a magnetic field relaxation time which is not recorded in the database, so that the battery corresponding to the magnetic field relaxation time which is measured in the second battery lot and is not recorded in the database may be taken out, the K value of the battery is measured by a method for measuring the K value in the related technology, and the corresponding relation between the magnetic field relaxation time and the K value is updated in the database, so that the database is gradually updated.
In summary, the method for detecting the battery performance in the embodiment of the invention measures the relaxation time of the magnetic field through the electric disturbance operation, and performs performance evaluation and classification on the battery to be detected by combining the K value of the battery as a reference parameter, so that the battery defect detection time can be reduced, the battery production efficiency can be improved, and the performance grade of the battery can be determined, thereby facilitating the classification of the battery.
The present invention also proposes a computer-readable storage medium having stored thereon a battery performance detection program that when executed by a processor implements the battery performance detection method of any one of the above embodiments.
In this embodiment, the processor executes the battery performance detection method stored in the memory to evaluate and classify the performance of the battery to be detected, so as to reduce the detection time of the battery defect, improve the production efficiency of the battery, and determine the performance level of the battery, thereby facilitating the classification of the battery.
Fig. 5 is a block diagram showing the structure of a battery performance detection apparatus according to an embodiment of the present invention.
As shown in fig. 5, the present invention further provides a device 200 for detecting battery performance, where the device 200 includes: a first acquisition module 201, a setup module 202, a second acquisition module 203, a first determination module 204 and a second determination module 205.
Wherein, the first acquisition module 201 is configured to acquire a plurality of first magnetic field relaxation times of a plurality of batteries with different K values after an electric disturbing operation; the establishing module 202 is configured to establish a database according to the K value of the battery and the plurality of first magnetic field relaxation times; the second obtaining module 203 is configured to obtain a second magnetic field relaxation time of the battery to be detected after the electric perturbation operation; the first determining module 204 is configured to query the database according to the second magnetic field relaxation time to determine a K value of the battery to be detected; the second determining module 205 is configured to determine whether the battery to be detected is qualified according to the K value, and determine a performance level of the battery to be detected.
In some embodiments of the present invention, the battery performance detection apparatus 200 further includes an electrical perturbation module for performing an electrical perturbation operation, the electrical perturbation operation including: and controlling the battery to continuously discharge at a preset constant current, and controlling the battery to stop discharging after a preset period of time, so that a changing magnetic field is generated inside the battery to form electric disturbance.
In some embodiments of the present invention, the first determining module 204 is specifically configured to: when the first magnetic field relaxation time which is the same as the second magnetic field relaxation time is not queried in the database, acquiring a target relaxation time with the minimum absolute value of the difference between the first relaxation times and the second magnetic field relaxation time; and determining the K value of the battery to be detected according to the target relaxation time.
In some embodiments of the present invention, the first determining module 204 is specifically configured to: when the first magnetic field relaxation time which is the same as the second magnetic field relaxation time is not queried in the database and the second magnetic field relaxation time is between two adjacent first relaxation times, K values corresponding to the two first relaxation times are obtained; the larger of the two K values is taken as the K value of the battery to be detected.
In some embodiments of the present invention, the apparatus 200 for detecting battery performance further includes an updating module, where the updating module is configured to obtain a K value of the battery when the magnetic field relaxation time of the battery is different from the first magnetic field relaxation times, and update the database according to the K value of the battery and the magnetic field relaxation times.
In some embodiments of the invention, the magnetic field relaxation time is positively correlated with the K value.
In some embodiments of the present invention, the detecting apparatus 200 for battery performance further includes a grading module for obtaining a critical K value of the battery before determining the performance grade of the battery to be detected according to the K value; a range of K values greater than zero and less than or equal to a critical K value is partitioned to generate at least one performance level.
In some embodiments of the invention, the performance level is inversely related to the K value.
It should be noted that, for the specific implementation of the device for detecting the battery performance in the embodiment of the present invention, reference may be made to the specific implementation of the method for detecting the battery performance in the above embodiment, and in order to avoid redundancy, the description is omitted here.
In summary, the detection device for battery performance in the embodiment of the present invention firstly acquires the magnetic field relaxation time of the batteries with different K values after the electric disturbance through the first acquisition module 201, establishes a database for the relationship between the K values and the magnetic field relaxation time in the batteries through the establishment module 202, acquires the relaxation time of the battery to be detected through the second acquisition module 203, then queries the database through the first determination module 204 to determine the K value of the battery to be detected, and then determines whether the battery to be detected is qualified or not and the performance level of the battery through the second determination module 205, thereby performing performance evaluation and classification on the battery to be detected, reducing the detection time of battery defects, improving the production efficiency of the battery, and determining the performance level of the battery to facilitate classification of the battery.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, for example, may be considered as a ordered listing of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, as used in embodiments of the present invention, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or as implying any particular number of features in the present embodiment. Thus, a feature of an embodiment of the invention that is defined by terms such as "first," "second," etc., may explicitly or implicitly indicate that at least one such feature is included in the embodiment. In the description of the present invention, the word "plurality" means at least two or more, for example, two, three, four, etc., unless explicitly defined otherwise in the embodiments.
In the present invention, unless explicitly stated or limited otherwise in the examples, the terms "mounted," "connected," and "fixed" as used in the examples should be interpreted broadly, e.g., the connection may be a fixed connection, may be a removable connection, or may be integral, and it may be understood that the connection may also be a mechanical connection, an electrical connection, etc.; of course, it may be directly connected, or indirectly connected through an intermediate medium, or may be in communication with each other, or in interaction with each other. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to specific embodiments.
In the present invention, unless expressly stated or limited otherwise, a first feature "up" or "down" a second feature may be the first and second features in direct contact, or the first and second features in indirect contact via an intervening medium. Moreover, a first feature being "above," "over" and "on" a second feature may be a first feature being directly above or obliquely above the second feature, or simply indicating that the first feature is level higher than the second feature. The first feature being "under", "below" and "beneath" the second feature may be the first feature being directly under or obliquely below the second feature, or simply indicating that the first feature is less level than the second feature.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (9)
1. A method for detecting battery performance, the method comprising:
acquiring a plurality of first magnetic field relaxation times of a plurality of batteries with different K values after electric disturbance operation;
establishing a database according to the K value of the battery and the first magnetic field relaxation times;
acquiring a second magnetic field relaxation time of the battery to be detected after the electric disturbance operation;
inquiring the database according to the second magnetic field relaxation time to determine the K value of the battery to be detected;
determining whether the battery to be detected is qualified or not according to the K value, and determining the performance grade of the battery to be detected;
the electrical disturbance operation includes:
and controlling the battery to continuously discharge at a preset constant current, and controlling the battery to stop discharging after a preset time period, so that a changing magnetic field is generated inside the battery to form electric disturbance.
2. The method of claim 1, wherein querying the database to determine the K value of the battery to be detected based on the second magnetic field relaxation time comprises:
when the first magnetic field relaxation time which is the same as the second magnetic field relaxation time is not queried in the database, acquiring a target relaxation time with the minimum absolute value of the difference between the first magnetic field relaxation time and the second magnetic field relaxation time;
and determining the K value of the battery to be detected according to the target relaxation time.
3. The method of claim 1, wherein querying the database to determine the K value of the battery to be detected based on the second magnetic field relaxation time comprises:
acquiring K values corresponding to two first magnetic field relaxation times when the first magnetic field relaxation time which is the same as the second magnetic field relaxation time is not queried in the database and the second magnetic field relaxation time is between the two adjacent first magnetic field relaxation times;
and taking the larger value of the two K values as the K value of the battery to be detected.
4. A detection method according to any one of claims 1-3, wherein the detection method further comprises:
and when the magnetic field relaxation time of the battery is different from the first magnetic field relaxation times, acquiring the K value of the battery, and updating the database according to the K value and the magnetic field relaxation time of the battery.
5. The method of claim 4, wherein the magnetic field relaxation time is positively correlated with the K value.
6. A detection method according to any one of claims 1-3, characterized in that before determining the performance level of the battery to be detected from the K value, the detection method further comprises:
acquiring a critical K value of the battery;
a range of K values greater than zero and less than or equal to the critical K value is partitioned to generate at least one performance level.
7. The method of claim 6, wherein the performance level is inversely related to the K value.
8. A computer-readable storage medium, characterized in that a detection program of battery performance is stored thereon, which detection program, when executed by a processor, implements the detection method of battery performance according to any one of claims 1-7.
9. A device for detecting battery performance, the device comprising:
the first acquisition module is used for acquiring a plurality of first magnetic field relaxation times of a plurality of batteries with different K values after electric disturbance operation;
the establishing module is used for establishing a database according to the K value of the battery and the first magnetic field relaxation times;
the second acquisition module is used for acquiring a second magnetic field relaxation time of the battery to be detected after the electric disturbance operation;
the first determining module is used for inquiring the database according to the second magnetic field relaxation time to determine the K value of the battery to be detected;
the second determining module is used for determining whether the battery to be detected is qualified or not according to the K value and determining the performance grade of the battery to be detected;
an electrical perturbation module for performing the electrical perturbation operation, the electrical perturbation operation comprising: and controlling the battery to continuously discharge at a preset constant current, and controlling the battery to stop discharging after a preset time period, so that a changing magnetic field is generated inside the battery to form electric disturbance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310856892.4A CN116577674B (en) | 2023-07-13 | 2023-07-13 | Method, device and storage medium for detecting battery performance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310856892.4A CN116577674B (en) | 2023-07-13 | 2023-07-13 | Method, device and storage medium for detecting battery performance |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116577674A CN116577674A (en) | 2023-08-11 |
| CN116577674B true CN116577674B (en) | 2023-10-10 |
Family
ID=87536355
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310856892.4A Active CN116577674B (en) | 2023-07-13 | 2023-07-13 | Method, device and storage medium for detecting battery performance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116577674B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4733186A (en) * | 1985-10-29 | 1988-03-22 | Siemens Aktiengesellschaft | Method for the operation of a nuclear magnetic resonance apparatus for the fast identification of the longitudinal relaxation time T1 |
| CN110515012A (en) * | 2019-09-04 | 2019-11-29 | 武汉美格科技股份有限公司 | The method for diagnosing battery health status |
| CN112051504A (en) * | 2020-08-13 | 2020-12-08 | 联合汽车电子有限公司 | Method and device for predicting battery capacity, terminal and computer-readable storage medium |
| CN112327171A (en) * | 2020-11-30 | 2021-02-05 | 同济大学 | Lithium ion battery life estimation method based on relaxation time distribution |
| CN112924878A (en) * | 2021-01-26 | 2021-06-08 | 同济大学 | Battery safety diagnosis method based on relaxation voltage curve |
| CN114114047A (en) * | 2020-08-25 | 2022-03-01 | 华为技术有限公司 | Battery fault detection method and device |
| CN115932611A (en) * | 2022-10-10 | 2023-04-07 | 中国科学技术大学 | Lithium ion battery internal short circuit fault diagnosis method based on relaxation process |
| CN116027218A (en) * | 2021-10-27 | 2023-04-28 | 比亚迪股份有限公司 | Battery state evaluation method and electronic equipment |
| CN116087698A (en) * | 2022-07-12 | 2023-05-09 | 中国电力科学研究院有限公司 | Method and system for evaluating thermal ageing state of high-voltage sleeve |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10481210B2 (en) * | 2014-07-14 | 2019-11-19 | Ford Global Technologies, Llc | Methods to determine battery cell voltage relaxation time based on cell usage history and temperature |
| US20160231387A1 (en) * | 2015-02-09 | 2016-08-11 | Microsoft Microsoft Technology Licensing, LLC | Estimating Battery Cell Parameters |
-
2023
- 2023-07-13 CN CN202310856892.4A patent/CN116577674B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4733186A (en) * | 1985-10-29 | 1988-03-22 | Siemens Aktiengesellschaft | Method for the operation of a nuclear magnetic resonance apparatus for the fast identification of the longitudinal relaxation time T1 |
| CN110515012A (en) * | 2019-09-04 | 2019-11-29 | 武汉美格科技股份有限公司 | The method for diagnosing battery health status |
| CN112051504A (en) * | 2020-08-13 | 2020-12-08 | 联合汽车电子有限公司 | Method and device for predicting battery capacity, terminal and computer-readable storage medium |
| CN114114047A (en) * | 2020-08-25 | 2022-03-01 | 华为技术有限公司 | Battery fault detection method and device |
| CN112327171A (en) * | 2020-11-30 | 2021-02-05 | 同济大学 | Lithium ion battery life estimation method based on relaxation time distribution |
| CN112924878A (en) * | 2021-01-26 | 2021-06-08 | 同济大学 | Battery safety diagnosis method based on relaxation voltage curve |
| CN116027218A (en) * | 2021-10-27 | 2023-04-28 | 比亚迪股份有限公司 | Battery state evaluation method and electronic equipment |
| CN116087698A (en) * | 2022-07-12 | 2023-05-09 | 中国电力科学研究院有限公司 | Method and system for evaluating thermal ageing state of high-voltage sleeve |
| CN115932611A (en) * | 2022-10-10 | 2023-04-07 | 中国科学技术大学 | Lithium ion battery internal short circuit fault diagnosis method based on relaxation process |
Non-Patent Citations (2)
| Title |
|---|
| Influence of relaxation time on the lifetime of commercial lithium-ion cells;M. Reichert 等;Journal of Power Sources;第239卷;第45-53页 * |
| 锂离子动力电池高倍率充放电过程中弛豫行为的仿真;汤依伟 等;物理学报;第65卷(第5期);第1-10页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116577674A (en) | 2023-08-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108333429B (en) | Power battery management system, and device and method for detecting insulation resistance of power battery | |
| US9995792B2 (en) | Battery state determination device determining a micro-short-circuiting tendency of a rechargeable battery | |
| US9316699B2 (en) | System for predicting lifetime of battery | |
| CN106908741B (en) | SOH estimation method and device for power battery pack of hybrid electric vehicle | |
| US20160195589A1 (en) | Degradation diagnosis system and degradation diagnosis method for secondary battery | |
| KR101288647B1 (en) | Secondary battery tester, secondary battery testing method, and manufacturing method of secondary battery | |
| KR102070589B1 (en) | Method and System for Predicting the Time Required for Low Voltage Expression of a Secondary Battery, and Aging Method of the Secondary Battery Using the Same | |
| KR102391533B1 (en) | Method for diagnosing a low voltage of a secondary cell and apparatus thereof | |
| KR101779245B1 (en) | System for checking a fail in a secondary battery and method thereof | |
| JP4670778B2 (en) | Battery status notification method | |
| CN111521945B (en) | Battery health state detection method and device, electronic equipment and storage medium | |
| JP7326237B2 (en) | Determination device, power storage system, determination method, and determination program for multiple batteries | |
| KR20150049526A (en) | System for early checking a fail rate by low voltage in a secondary battery and method thereof | |
| JP2006126172A (en) | State-detecting method of secondary battery, and state detector of secondary battery | |
| CN116577674B (en) | Method, device and storage medium for detecting battery performance | |
| US11047810B2 (en) | Method for monitoring the functional state of a system for computer-tomographic examination of workpieces | |
| JP2019100994A (en) | Detection method for battery | |
| CN114487843A (en) | Life prediction method and device based on fuel cell polarization curve change rule | |
| CN115179767A (en) | Method for diagnosing charging abnormality of electric vehicle, and storage medium | |
| CN114894359A (en) | Fuel cell stack fastening force detection method and device | |
| CN109738805B (en) | Battery, testing method and device thereof, and electronic equipment | |
| TWI687703B (en) | Apparatus and method for estimating electric quantity of battery | |
| CN112151899A (en) | Method and device for detecting lithium separation of battery | |
| CN111796191B (en) | Method and device for calculating short-circuit current of battery and electronic product | |
| KR102043645B1 (en) | Method and System for Calculating Low Voltage Expression Level of a Secondary Battery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 230088 floor 1-4, zone a, building E2, phase II, innovation industrial park, No. 2800, innovation Avenue, high tech Zone, Hefei, Anhui Province Patentee after: Guoyi Quantum Technology (Hefei) Co.,Ltd. Address before: 230088 floor 1-4, zone a, building E2, phase II, innovation industrial park, No. 2800, innovation Avenue, high tech Zone, Hefei, Anhui Province Patentee before: Guoyi Quantum (Hefei) Technology Co.,Ltd. |
|
| CP01 | Change in the name or title of a patent holder |