CN115236532A - Abnormal battery cell detection method, device and system - Google Patents

Abnormal battery cell detection method, device and system Download PDF

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Publication number
CN115236532A
CN115236532A CN202210840183.2A CN202210840183A CN115236532A CN 115236532 A CN115236532 A CN 115236532A CN 202210840183 A CN202210840183 A CN 202210840183A CN 115236532 A CN115236532 A CN 115236532A
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test
open
circuit voltage
battery
sample
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胡景博
刘涛
刘晓蕾
赵光宇
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FAW Group Corp
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FAW Group Corp
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385Arrangements for measuring battery or accumulator variables
    • G01R31/386Arrangements for measuring battery or accumulator variables using test-loads
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385Arrangements for measuring battery or accumulator variables
    • G01R31/3865Arrangements for measuring battery or accumulator variables related to manufacture, e.g. testing after manufacture
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)

Abstract

The application discloses detection method, device and system of abnormal electric core relates to lithium ion battery technical field, can be when guaranteeing the performance of use of battery module or battery package, shortens the test cycle of battery module or battery package's producer to electric core self discharge test. The method is applied to the first electronic equipment, and the user corresponding to the first electronic equipment is a manufacturer of the battery module or the battery pack. The method can comprise the following steps: receiving an offline test parameter set and a standard open-circuit voltage change diagram transmitted by second electronic equipment; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; the user corresponding to the second electronic equipment is a manufacturer of the battery core; acquiring an online test parameter set; the second test time is after the first test time; and detecting abnormal cells from the N cells to be detected based on the offline test parameter set, the online test parameter set and the standard open-circuit voltage variation diagram.

Description

Abnormal cell detection method, device and system
Technical Field
The present application relates to the field of lithium ion battery technologies, and in particular, to a method, an apparatus, and a system for detecting an abnormal electrical core.
Background
The battery core monomer of the lithium ion battery can be assembled into a battery module or a battery pack through multiple series-parallel connection. In battery module or battery package, if the rate of discharging certainly of certain electricity core is great, can lead to the uniformity of discharging certainly of whole battery module or whole battery package to worsen to, along with the increase of length of time of using, the uniformity of discharging certainly of battery module or battery package can become worse and worse, has seriously influenced the performance of battery module or battery package. What's more, the self discharge rate of some electricity cores is great because metal impurities who contains in the electricity core leads to, and along with the increase of using for a long time, the internal pressure of these electricity cores can crescent, and metal impurities can pierce through the risk that the diaphragm caused the electricity core short circuit, has very big potential safety hazard. Therefore, current, the producer of electricity core can carry out the self discharge test to electric core before electric core leaves the factory, screens out the unusual electric core of self discharge, then gives the producer of battery module or battery package with qualified electric core.
However, in the process of transporting the battery cells from the place where the battery cells are manufactured to the place where the battery module or the battery pack is manufactured, some of the battery cells may have abnormal self-discharge. Because the test cycle of the self-discharge test of the battery cell is long, the manufacturer of the battery module or the battery pack can not generally perform the self-discharge test on the battery cell, so the service performance of the battery module or the battery pack produced by the manufacturer of the existing battery module or the battery pack is poor, and the potential safety hazard is still generated. Therefore, how to shorten the testing period of the self-discharge test of the battery cell by the manufacturer of the battery module or the battery pack while ensuring the usability of the battery module or the battery pack becomes a technical problem to be solved urgently.
Disclosure of Invention
The application provides a detection method, device and system of unusual electric core, can be when guaranteeing the performance of battery module or battery package, shorten the test cycle of battery module or battery package's producer to electric core self-discharge test.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect, the present application provides a method for detecting an abnormal electrical core, where the method is applied to a first electronic device, a user corresponding to the first electronic device is a manufacturer of a battery module or a battery pack, and the method may include: receiving an offline test parameter set and a standard open-circuit voltage variation graph transmitted by second electronic equipment; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at the first test moment; the cell models of the N cells to be tested are target models; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; the user corresponding to the second electronic equipment is a manufacturer of the battery core; n is a positive integer; acquiring an online test parameter set; the online test parameter set comprises open-circuit voltages of the N electric cores to be tested at a second test moment; the second test time is after the first test time; and detecting abnormal cells from the N cells to be detected based on the offline test parameter set, the online test parameter set and the standard open-circuit voltage variation diagram.
In the technical scheme provided by the application, the first electronic device corresponding to the manufacturer of the battery module or the battery pack can receive the offline test parameter set and the standard open-circuit voltage variation diagram transmitted by the second electronic device corresponding to the manufacturer of the battery core. The offline test parameter set is obtained by performing open-circuit voltage detection on the N electric cores to be tested at a first test moment before the N electric cores to be tested leave a factory by a manufacturer of the electric cores. After the manufacturer of the battery module or the battery pack receives the N electric cores to be tested delivered by the manufacturer of the electric cores, the open-circuit voltage detection can be carried out on the N electric cores to be tested at the second test moment, and an online test parameter set is obtained. Then, the first electronic device may detect an abnormal cell from the N cells to be tested based on the offline test parameter set, the online test parameter set, and the standard open-circuit voltage variation diagram. The cell models of the N cells to be tested are target models, and the standard open-circuit voltage variation graph can represent the open-circuit voltage variation threshold value range of the cells of the target models under different test durations. Therefore, whether the open-circuit voltage change conditions of the N cells to be tested from the first test moment to the second test moment meet the corresponding open-circuit voltage change threshold range in the standard open-circuit voltage change diagram can be determined according to the offline test parameter set, the online test parameter set and the standard open-circuit voltage change diagram, so that abnormal cells can be screened out from the N cells to be tested. In addition, because the time difference between the second test time and the first test time can represent the lead time of the N electric cores to be tested, and the lead time is also the test duration, in the technical scheme provided by the application, a manufacturer of the battery module or the battery pack can directly utilize the variation condition of the open-circuit voltage of the N electric cores to be tested in the lead time to screen the abnormal electric cores. It can be seen that, among the technical scheme that this application provided, the producer of battery module or battery package only need carry out once the detection after electric core delivers, can select unusual electric core. Consequently, this application can be when guaranteeing the performance of battery module or battery package, make full use of electric core from the producer of electric core deliver to the transport time of the producer of battery module or battery package, shorten the test cycle of the producer of battery module or battery package to electric core self discharge test to can guarantee the performance of battery module or battery package, reduce the potential safety hazard.
In a second aspect, the present application provides a method for detecting an abnormal electrical core, where the method is applied to a second electronic device, a user corresponding to the second electronic device is a manufacturer of the electrical core, and the method may include: acquiring open-circuit voltages of the M sample battery cells at a third test moment; the charge states of the M sample battery cells are preset charge states, and the battery cell models of the M sample battery cells are target models; m is a positive integer; respectively obtaining open-circuit voltages of the M sample battery cells at K test moments; the K test moments are K different moments after the third test moment; k is a positive integer; determining open-circuit voltage change values of the M sample electric cores in K test durations based on open-circuit voltages of the M sample electric cores at a third test time and open-circuit voltages of the M sample electric cores at K test times; the test duration in the K test durations corresponds to the test time in the K test times one by one; determining a standard open-circuit voltage change diagram of a target model based on the open-circuit voltage change values of the M sample battery cells in K test durations; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; acquiring a offline test parameter set; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at a first test moment; the cell models of the N cells to be tested are target models; transmitting a offline test parameter set and a standard open-circuit voltage change diagram to the first electronic equipment; the user corresponding to the first electronic device is a manufacturer of the battery module or the battery pack.
In the technical scheme provided by the application, a manufacturer of the battery cell can determine a standard open circuit voltage change diagram of the open circuit voltage change threshold range of the battery cell for representing the target model in different test durations by testing the M sample battery cells. After the manufacturer of the battery cell tests M sample battery cells to obtain a standard open-circuit voltage change diagram, the battery cell to be tested only needs to be subjected to one-time detection before leaving the factory, then the battery cell to be tested is delivered to the manufacturer of the battery module or the battery pack, the manufacturer of the battery module or the battery pack carries out one-time detection again, and the manufacturer of the battery module or the battery pack can screen out abnormal battery cells based on two-time detection results compared with the standard open-circuit voltage change diagram. Consequently, this application can shorten the test cycle of battery module or battery package's producer to electric core self-discharge test when guaranteeing the performance of battery module or battery package.
The third aspect, this application provides a detection apparatus of unusual electric core, can be applied to first electronic equipment, and the user that first electronic equipment corresponds is the producer of battery module or battery package, and the device includes: the device comprises a receiving module, an obtaining module and a detecting module;
specifically, the receiving module is configured to receive an offline test parameter set and a standard open-circuit voltage variation diagram transmitted by the second electronic device; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at the first test moment; the cell models of the N cells to be tested are target models; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; the user corresponding to the second electronic equipment is a manufacturer of the battery cell; n is a positive integer; the acquisition module is used for acquiring an online test parameter set; the online test parameter set comprises open-circuit voltages of the N electric cores to be tested at a second test moment; the second test time is after the first test time; and the detection module is used for detecting abnormal electric cores from the N electric cores to be detected based on the offline test parameter set, the online test parameter set and the standard open-circuit voltage change diagram.
In a fourth aspect, the present application provides a detection apparatus for an abnormal electrical core, which may be applied to a second electronic device, where a user corresponding to the second electronic device is a manufacturer of the electrical core, and the apparatus may include an obtaining module, a determining module, and a sending module;
specifically, the obtaining module is configured to obtain open-circuit voltages of the M sample cells at a third test time; the charge states of the M sample battery cells are preset charge states, and the battery cell models of the M sample battery cells are target models; m is a positive integer; the acquisition module is further used for respectively acquiring open-circuit voltages of the M sample battery cells at the K test moments; the K test moments are K different moments after the third test moment; k is a positive integer; the determining module is configured to determine, based on the open-circuit voltages of the M sample cells at the third test time and the open-circuit voltages of the M sample cells at the K test times, open-circuit voltage change values of the M sample cells for the K test durations; the test duration in the K test durations corresponds to the test time in the K test times one by one; the determining module is further used for determining a standard open-circuit voltage change diagram of the target model based on the open-circuit voltage change values of the M sample battery cells in the K test durations; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; the acquisition module is also used for acquiring the offline test parameter set; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at the first test moment; the cell types of the N cells to be tested are target types; the sending module is used for transmitting the offline test parameter set and the standard open-circuit voltage variation graph to the first electronic equipment; the user corresponding to the first electronic device is a manufacturer of the battery module or the battery pack.
In a fifth aspect, the present application provides an electronic device, which may be a first electronic device or a second electronic device, and which may include a memory, a processor, a bus, and a communication interface; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the electronic device operates, the processor executes the computer execution instruction stored in the memory, so that the electronic device executes the method for detecting an abnormal battery cell according to the first aspect or the second aspect.
In a sixth aspect, the present application provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer is enabled to execute the method for detecting an abnormal electrical core, as provided in the first aspect or the second aspect.
In a seventh aspect, the present application provides a computer program product, where the computer program product includes computer instructions, and when the computer instructions are run on a computer, the computer is caused to execute the method for detecting an abnormal electrical core according to the first aspect or the second aspect.
In an eighth aspect, the present application provides a system for detecting an abnormal electrical core, including a first electronic device and a second electronic device; the first electronic device is configured to execute the method for detecting an abnormal battery cell provided in the first aspect; and the second electronic device is configured to execute the method for detecting an abnormal battery cell provided in the second aspect.
It should be noted that the computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer-readable storage medium may be packaged with a processor of an electronic device, or may be packaged separately from the processor of the electronic device, which is not limited in this application.
For the description of the third aspect to the eighth aspect in the present application, reference may be made to the detailed description of the first aspect or the second aspect; in addition, for the beneficial effects described in the third aspect to the eighth aspect, reference may be made to beneficial effect analysis of the first aspect or the second aspect, and details are not repeated here.
In the present application, the names of the above-mentioned devices or function modules do not constitute limitations, and in actual implementation, these devices or function modules may appear by other names. Insofar as the functions of the respective devices or functional modules are similar to those of the present application, they are within the scope of the claims of the present application and their equivalents.
These and other aspects of the present application will be more readily apparent from the following description.
Drawings
Fig. 1 is a schematic diagram of an architecture of a system for detecting an abnormal electrical core according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for detecting an abnormal electrical core according to an embodiment of the present application;
FIG. 3 is a diagram illustrating a standard open circuit voltage variation graph according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of another abnormal electrical core detection method provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a device for detecting an abnormal electrical core according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of another abnormal electrical core detection device provided in an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following describes in detail a method, an apparatus, and a system for detecting an abnormal electrical core, which are provided in an embodiment of the present application, with reference to the accompanying drawings.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The terms "first" and "second" and the like in the specification and drawings of the present application are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
In addition, the data acquisition, storage, use, processing and the like in the technical scheme of the application all conform to relevant regulations of national laws and regulations.
Present, the producer of electricity core can carry out the self discharge test to electric core before electric core leaves the factory, screens out the unusual electric core of self discharge, then gives the producer of battery module or battery package with qualified electric core. However, in the process of transporting the battery cells from the manufacturer of the battery cells to the manufacturer of the battery module or the battery pack, some of the battery cells may have self-discharge abnormalities. Because the test cycle of the self-discharge test of the battery cell is long, the manufacturer of the battery module or the battery pack can not generally perform the self-discharge test on the battery cell, so the service performance of the battery module or the battery pack produced by the manufacturer of the existing battery module or the battery pack is poor, and the potential safety hazard is still generated. Therefore, how to shorten the testing period of the battery module or the battery pack for the self-discharge test of the battery cell by the manufacturer while ensuring the service performance of the battery module or the battery pack becomes a technical problem to be solved urgently.
To solve the problems in the prior art, the embodiment of the application provides a method for detecting an abnormal electric core, and in the method, a manufacturer of a battery module or a battery pack only needs to perform one-time detection after the electric core is delivered, so that the abnormal electric core can be screened out. Consequently, this application can be when guaranteeing the performance of battery module or battery package, make full use of electric core from the producer of electric core deliver to the transport time of the producer of battery module or battery package, shorten the test cycle of the producer of battery module or battery package to electric core self discharge test.
The method for detecting an abnormal electrical core provided in the embodiment of the present application may be performed by the apparatus for detecting an abnormal electrical core provided in the embodiment of the present application, and the apparatus may be implemented in a software and/or hardware manner and integrated in an electronic device (a first electronic device or a second electronic device) that executes the method.
The detection method for the abnormal battery cell provided by the embodiment of the application can be suitable for a detection system for the abnormal battery cell. Fig. 1 shows a structure of the detection system for an abnormal cell. As shown in fig. 1, the detection system for an abnormal cell may include a first electronic device 01 and a second electronic device 02. The first electronic device 01 and the second electronic device 02 may be directly communicatively connected, or the first electronic device 01 and the second electronic device 02 may be indirectly communicatively connected through a data transmission device.
The method for detecting an abnormal battery cell provided in the embodiment of the present application is described below with reference to the system for detecting an abnormal battery cell shown in fig. 1.
Referring to fig. 2, an embodiment of the present application provides a method for detecting an abnormal electrical core, where the method may be applied to the first electronic device in fig. 1, and a user corresponding to the first electronic device is a manufacturer of a battery module or a battery pack. As shown in fig. 2, the method may include S201-S203:
s201, receiving an offline test parameter set and a standard open-circuit voltage change diagram transmitted by the second electronic device.
In a possible implementation manner, the first electronic device in the embodiment of the present application may be connected to the first voltage detection apparatus, and configured to obtain a detection result of the first voltage detection apparatus on the open-circuit voltage of the battery cell. The second electronic device may be connected to the second voltage detection apparatus, and configured to obtain a detection result of the second voltage detection apparatus on the open-circuit voltage of the battery cell. Alternatively, in another possible implementation manner, the functions of the voltage detection device may be integrated in the first electronic device and the second electronic device.
The offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at a first test moment; the cell models of the N cells to be tested are target models; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; the user corresponding to the second electronic equipment is a manufacturer of the battery core; n is a positive integer.
In the embodiment of the application, the offline test parameter set is obtained by detecting the open-circuit voltage of the N electric cores to be tested by the manufacturer of the electric cores, specifically, the time of the offline test parameter set obtained by the manufacturer of the electric cores is consistent with the time of the first test of the electric cores of the sample. For example, before a manufacturer of a battery cell delivers the battery cell to a manufacturer of a battery module or a battery pack, the state of charge of the battery cell is adjusted to a desired preset state of charge according to the requirements of the manufacturer of the battery module or the battery pack. Then it is. The first test time may be a time corresponding to 4 hours after the states of Charge (SOCs) of the N cells to be tested are adjusted to the preset states of Charge, and the third test time may be a time corresponding to 4 hours after the states of Charge of the sample cells are adjusted to the preset states of Charge. The predetermined state of charge may be a predetermined state of charge, such as the predetermined state of charge may be 70% soc.
The standard open circuit voltage variation graph is obtained by testing a sample cell by a manufacturer of the cell. Illustratively, referring to fig. 3, a schematic diagram of a standard open circuit voltage variation graph is provided. As shown in fig. 3, the abscissa of the standard open circuit voltage variation graph may be a test duration in days, and the ordinate of the standard open circuit voltage variation graph may be an open circuit voltage variation value in millivolts (mv), where the standard open circuit voltage variation graph includes two broken lines, one broken line is used to represent an upper threshold of open circuit voltage variation under different test durations, and the other broken line is used to represent a lower threshold of open circuit voltage variation under different test durations.
S202, acquiring an online test parameter set.
The online test parameter set comprises open-circuit voltages of the N electric cores to be tested at a second test moment; the second test time is subsequent to the first test time. In the embodiment of the application, the online test parameter set is obtained by detecting the open-circuit voltage of the N to-be-tested battery cores after the N to-be-tested battery cores delivered by the manufacturer of the battery module or the battery pack are received and before the battery module or the battery pack is produced according to the N to-be-tested battery cores. The interval between the second test time and the first test time is determined by factors such as the transport time length.
And S203, detecting abnormal electric cores from the N electric cores to be detected based on the offline test parameter set, the online test parameter set and the standard open-circuit voltage change diagram.
In the embodiment of the application, the self-discharge rate can be represented by a change value of open-circuit voltage, and within a certain period of time, the larger the change value of the open-circuit voltage of the battery cell is, the larger the self-discharge rate is; the smaller the change value of the open-circuit voltage of the cell is, the smaller the self-discharge rate is. In battery module or battery package, if the difference of the rate of discharging certainly of certain electric core and other electric cores is great, it is also that the consistency of discharging certainly of battery module or battery package is relatively poor, influence capacity and safety that can the very big degree, so, timely will discharge from the rate of discharging certainly and the great unusual electric core of other electric core differences and discharge, can help improving the whole life-span of battery module or battery package, reduce the defective rate of product.
Optionally, based on the offline test parameter set, the online test parameter set, and the standard open-circuit voltage variation diagram, detecting an abnormal cell from the N cells to be tested may include: determining the current test duration based on the first test time and the second test time; determining a current open-circuit voltage change value of the first battery cell under the current test duration based on the open-circuit voltage of the first battery cell at the first test time and the open-circuit voltage of the first battery cell at the second test time; the first battery cell is any one of the N battery cells to be tested; determining the open-circuit voltage change threshold range of the target type of the battery cell corresponding to the current test duration based on the standard open-circuit voltage change diagram; and determining whether the first battery cell is an abnormal battery cell or not based on the open circuit voltage change threshold range and the current open circuit voltage change value under the current test duration.
Optionally, the threshold range of the open-circuit voltage change in the current test duration includes an upper threshold of the open-circuit voltage change in the current test duration and a lower threshold of the open-circuit voltage change in the current test duration; determining whether the first battery cell is an abnormal battery cell based on the open-circuit voltage change threshold range and the current open-circuit voltage change value under the current test duration, which may include: and under the condition that the current open-circuit voltage change value is larger than the upper limit threshold of the open-circuit voltage change under the current test duration, or the current open-circuit voltage change value is smaller than the lower limit threshold of the open-circuit voltage change under the current test duration, determining that the first electric core is an abnormal electric core.
Illustratively, the standard open circuit voltage variation graph provided in fig. 3 is taken as an example. In fig. 3, when the test duration is 3 days, the upper limit threshold of the open circuit voltage variation is 5.4mv, and the lower limit threshold of the open circuit voltage variation is 2.5mv; when the test duration is 6 days, the upper limit threshold value of the change of the open-circuit voltage is 13.5mv, and the lower limit threshold value of the change of the open-circuit voltage is 6.8mv; when the test duration is 9 days, the upper limit threshold value of the change of the open-circuit voltage is 17.1mv, and the lower limit threshold value of the change of the open-circuit voltage is 8.9mv; when the test duration is 12 days, the upper limit threshold of the open circuit voltage change is 20.1mv, and the lower limit threshold of the open circuit voltage change is 10.5mv; when the test duration is 15 days, the upper limit threshold of the open circuit voltage change is 24.1mv, and the lower limit threshold of the open circuit voltage change is 12.8mv; when the test duration is 22 days, the upper limit threshold value of the change of the open-circuit voltage is 31.2mv, and the lower limit threshold value of the change of the open-circuit voltage is 16.7mv; when the test duration is 29 days, the upper limit threshold of the open circuit voltage change is 38.2mv, and the lower limit threshold of the open circuit voltage change is 20.7mv; when the test duration is 36 days, the upper limit threshold value of the change of the open-circuit voltage is 44.2mv, and the lower limit threshold value of the change of the open-circuit voltage is 24.1mv; when the test duration is 43 days, the upper limit threshold of the open circuit voltage change is 49.8mv, and the lower limit threshold of the open circuit voltage change is 27.4mv; when the test duration is 50 days, the upper limit threshold of the open circuit voltage change is 56mv, and the lower limit threshold of the open circuit voltage change is 31mv.
If the first test time is xxxx year, 7, month, 1, day, 10 hours and 10 minutes, and the second test time is xxxx year, 7, month, 23, day, 10 hours and 10 minutes, the current test duration can be determined to be 22 days. For example, if the open-circuit voltage of the first battery cell at the first test time is 3.81653V, and the open-circuit voltage of the first battery cell at the second test time is 3.78020V, it may be determined that the current open-circuit voltage change value of the first battery cell at the current test time duration is 36.33mv. At this time, if the current open-circuit voltage change value 36.33mv of the first battery cell during the 22-day test duration is greater than the upper limit threshold 31.2mv of the open-circuit voltage change corresponding to the 22-day test duration, it may be determined that the first battery cell is an abnormal battery cell.
In summary, in the method for detecting an abnormal electrical core provided in the embodiment of the present application, the first electronic device corresponding to the manufacturer of the battery module or the battery pack may receive the offline test parameter set and the standard open-circuit voltage variation diagram transmitted by the second electronic device corresponding to the manufacturer of the electrical core. The offline test parameter set is obtained by performing open-circuit voltage detection on the N electric cores to be tested at a first test moment before the N electric cores to be tested leave a factory by a manufacturer of the electric cores. After the manufacturer of the battery module or the battery pack receives the N to-be-tested battery cores delivered by the manufacturer of the battery cores, the open-circuit voltage detection can be carried out on the N to-be-tested battery cores at the second test moment, and an online test parameter set is obtained. Then, the first electronic device may detect an abnormal cell from the N cells to be tested based on the offline test parameter set, the online test parameter set, and the standard open-circuit voltage variation diagram. The cell models of the N cells to be tested are target models, and the standard open-circuit voltage variation graph can represent the open-circuit voltage variation threshold range of the cells of the target models under different test durations. Therefore, whether the open-circuit voltage change condition of the N to-be-tested electric cores from the first test moment to the second test moment meets the corresponding open-circuit voltage change threshold range in the standard open-circuit voltage change diagram can be determined according to the offline test parameter set, the online test parameter set and the standard open-circuit voltage change diagram, so that abnormal electric cores can be screened out from the N to-be-tested electric cores. In addition, because the time difference between the second test time and the first test time can represent the lead time of the N electric cores to be tested, which is also the test duration, in the method for detecting an abnormal electric core provided in the embodiment of the present application, a manufacturer of the battery module or the battery pack can directly use the variation condition of the open-circuit voltage of the N electric cores to be tested in the lead time to perform the screening of the abnormal electric core. It can find out that, in the detection method of unusual electric core that this application embodiment provided, the producer of battery module or battery package only need carry out once detection after electric core is handed over, can select unusual electric core. Therefore, this application embodiment can guarantee the performance of battery module or battery package, when guaranteeing the performance of battery module or battery package, make full use of electric core hands over the transport time of the producer of battery module or battery package from the producer of electric core, shorten the test cycle of the producer of battery module or battery package to electric core self discharge test to can guarantee the performance of battery module or battery package, reduce the potential safety hazard.
Referring to fig. 4, an embodiment of the present application further provides a method for detecting an abnormal electrical core, where the method may be applied to the second electronic device in fig. 1, and a user corresponding to the second electronic device is a manufacturer of the electrical core. As shown in fig. 4, the method may include S401-S406:
s401, obtaining open-circuit voltages of the M sample battery cores at a third testing moment.
The charge states of the M sample cells are preset charge states, and the cell models of the M sample cells are target models; m is a positive integer.
Optionally, the third testing time may be a time after the states of charge of the M sample cells are adjusted to the preset states of charge for the preset duration.
The preset time period may be a predetermined time period, for example, 4 hours.
After the state of charge adjustment is performed on the battery cell, the open-circuit voltage of the battery cell is in an unstable state in an initial period after the adjustment. Therefore, in the embodiment of the present application, in order to obtain a more accurate open-circuit voltage, after the states of charge of the M sample cells are adjusted to the preset states of charge, the open-circuit voltage detection is not performed first, but the detection is performed after a preset time period.
S402, respectively obtaining the open-circuit voltages of the M sample battery cells at the K test moments.
The K test moments are K different moments after the third test moment; k is a positive integer. Illustratively, K may be 10. The K test times may be times corresponding to the third test time at intervals of 3 days, 6 days, 9 days, 12 days, 15 days, 22 days, 29 days, 36 days, 43 days, and 50 days, respectively.
And S403, determining open-circuit voltage change values of the M sample cells at K test durations based on the open-circuit voltages of the M sample cells at the third test time and the open-circuit voltages of the M sample cells at the K test times.
And the test duration in the K test durations corresponds to the test time in the K test times one by one.
S404, determining a standard open-circuit voltage change diagram of the target model based on the open-circuit voltage change values of the M sample battery cells in the K test periods.
Optionally, determining the standard open-circuit voltage variation graph of the target model based on the open-circuit voltage variation values of the M sample cells for the K test durations may include: screening W sample electric cores from the M sample electric cores based on the open circuit voltage variation values of the M sample electric cores in K test durations; determining K open-circuit voltage change mean values of the W sample cells under the K test durations and K open-circuit voltage change standard deviations of the W sample cells under the K test durations based on the open-circuit voltage change values of the W sample cells under the K test durations; determining K open-circuit voltage change threshold ranges of the W sample electric cores under K test durations based on K open-circuit voltage change mean values of the W sample electric cores under K test durations and K open-circuit voltage change standard deviations of the W sample electric cores under K test durations; and determining a standard open circuit voltage change diagram based on the K open circuit voltage change threshold ranges.
Wherein the W sample cells are not abnormal cells.
Because abnormal cells may exist in the sample cells, in the embodiment of the present application, W sample cells that do not include abnormal cells may be screened out from M sample cells based on the open-circuit voltage variation values of the M sample cells during K test durations, and a standard open-circuit voltage variation diagram may be determined using the W sample cells that do not include abnormal cells as samples, so that the accuracy of the open-circuit voltage variation threshold range in the determined standard open-circuit voltage variation diagram may be further improved, and the accuracy of detecting abnormal cells may be further improved.
Optionally, screening W sample electric cores from M sample electric cores based on the open-circuit voltage variation values of the M sample electric cores during the K test periods may include: determining an average value of open-circuit voltage changes of the M sample cells under the target testing duration and a standard deviation of the open-circuit voltage changes of the M sample cells under the target testing duration based on the open-circuit voltage changes of the M sample cells under the target testing duration; if the first value of the second cell is smaller than the second value, the second cell is determined as a cell of the W sample cells.
The target test duration corresponds to a target test moment in the K test moments, and the target test moment is the last test moment in the K test moments; the first value is a difference value between an open-circuit voltage change value of the second cell at the target testing time length and an open-circuit voltage change mean value of the M sample cells at the target testing time length; the second value is three times of the standard deviation of the open-circuit voltage variation of the M sample battery cores in the target test duration; the second cell is any one of the M sample cells.
For example, in the embodiment of the present application, after adjusting the states of charge of 450 sample cells to the preset states of charge for 4 hours, a manufacturer of the cells may perform open-circuit voltage detection on the 450 sample cells at a corresponding third testing time. Thereafter, the open circuit voltage detection may be performed on the 450 sample cells at 10 different times (i.e., K test times in the embodiment of the present application) that are respectively spaced from the third test time by 3 days, 6 days, 9 days, 12 days, 15 days, 22 days, 29 days, 36 days, 43 days, and 50 days. Open-circuit voltage variation values of each sample cell at 10 test durations corresponding to 3 days, 6 days, 9 days, 12 days, 15 days, 22 days, 29 days, 36 days, 43 days and 50 days are respectively calculated, and an open-circuit voltage variation mean value and an open-circuit voltage variation standard deviation of the 450 sample cells at the test durations corresponding to 50 days can be calculated. For example, if the open circuit voltage of the 450 sample cell at the third test time is 3.82256V and the open circuit voltage measured after 50 days interval is 3.76056V among the 450 sample cells, the open circuit voltage variation value of the 450 sample cell at the test time interval corresponding to 50 days interval is 62mv. If the mean value of the open circuit voltage changes of the 450 sample cells in the test time period corresponding to the interval of 50 days is 43.5mv, and the standard deviation of the open circuit voltage changes is 4.17mv, the first value 18.5mv (62 mv-43.5 mv) of the sample cell with the number of 450 is greater than the second value 12.51mv (4.17 mv × 3). If none of the remaining 449 sample cells are abnormal cells, the sample cell numbered 450 may be removed from the 450 sample cells, and a standard open-circuit voltage variation graph is determined based on the open-circuit voltage variation values of the remaining 449 sample cells over 10 test durations.
Specifically, 10 mean open-circuit voltage changes and 10 standard deviations of open-circuit voltage changes of the remaining 449 sample cells over 10 test durations may be determined respectively; k open-circuit voltage variation threshold ranges are then determined based on the 10 average open-circuit voltage variation values and the 10 standard deviations of open-circuit voltage variation. For example, if the mean value of the open circuit voltage changes in the test duration corresponding to the interval of 50 days is 43.5mv, and the standard deviation of the open circuit voltage changes is 4.17mv, 43.5mv-3 × 4.17mv =30.99mv may be determined as the lower limit threshold of the open circuit voltage changes in the test duration corresponding to the interval of 50 days, and then 43.5mv + mv 3 × 4.17mv =56.01mv may be determined as the upper limit threshold of the open circuit voltage changes in the test duration corresponding to the interval of 50 days. Similarly, the lower threshold of the open-circuit voltage variation and the upper threshold of the open-circuit voltage variation can be determined for 10 test periods separated by 3 days, 6 days, 9 days, 12 days, 15 days, 22 days, 29 days, 36 days, 43 days and 50 days, respectively, and then, points can be plotted in the graph shown in fig. 3, i.e., two broken lines in the standard open-circuit voltage variation graph can be obtained, one line is used for representing the upper threshold of the open-circuit voltage variation, and the other line is used for representing the lower threshold of the open-circuit voltage variation.
S405, acquiring a offline test parameter set.
S406, transmitting the offline test parameter set and the standard open-circuit voltage change diagram to the first electronic device.
It should be noted that, the open circuit voltage variation value and the difference value referred to in the embodiments of the present application are both positive values.
In the embodiment of the application, a manufacturer of the battery cell can determine a standard open circuit voltage change diagram for representing the open circuit voltage change threshold range of the battery cell of the target model under different test durations by testing the M sample battery cells. After the manufacturer of electric core tested M sample electric cores and obtained standard open circuit voltage variation graph, only need to dispatch from the factory at the electric core that awaits measuring and go on once detecting, then will await measuring electric core and pay for the manufacturer of battery module or battery package, carry out once more by the manufacturer of battery module or battery package and detect, the manufacturer of battery module or battery package can compare standard open circuit voltage variation graph based on twice testing result and select unusual electric core. Therefore, the embodiment of the application can shorten the test period of the self-discharge test of the battery cell by a manufacturer of the battery module or the battery pack while ensuring the use performance of the battery module or the battery pack.
As shown in fig. 5, an embodiment of the present application further provides a device for detecting an abnormal electrical core, where the device may be integrated in a first electronic device that executes the method shown in fig. 1, and the device may include: a receiving module 11, an obtaining module 12 and a detecting module 13.
The receiving module 11 executes S201 in the foregoing method embodiment, the obtaining module 12 executes S202 in the foregoing method embodiment, and the detecting module 13 executes S203 in the foregoing method embodiment.
Specifically, the receiving module 11 is configured to receive an offline test parameter set and a standard open-circuit voltage variation diagram transmitted by the second electronic device; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at the first test moment; the cell models of the N cells to be tested are target models; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; the user corresponding to the second electronic equipment is a manufacturer of the battery core; n is a positive integer; an obtaining module 12, configured to obtain an online test parameter set; the online test parameter set comprises open-circuit voltages of the N electric cores to be tested at a second test moment; the second test time is after the first test time; the detection module 13 is configured to detect an abnormal cell from the N cells to be detected based on the offline test parameter set, the online test parameter set, and the standard open-circuit voltage variation diagram.
Optionally, in a possible design, the detection module 13 is specifically configured to:
determining the current test duration based on the first test time and the second test time; determining a current open-circuit voltage change value of the first battery cell under the current test duration based on the open-circuit voltage of the first battery cell at the first test time and the open-circuit voltage of the first battery cell at the second test time; the first battery cell is any one of the N battery cells to be tested; determining the range of the open-circuit voltage change threshold value of the battery cell of the target model corresponding to the current test duration based on the standard open-circuit voltage change diagram; and determining whether the first battery cell is an abnormal battery cell or not based on the open circuit voltage change threshold range and the current open circuit voltage change value under the current test duration.
Optionally, in another possible design manner, the threshold range of the open circuit voltage change in the current test duration includes an upper threshold of the open circuit voltage change in the current test duration and a lower threshold of the open circuit voltage change in the current test duration, and the detection module 13 is further specifically configured to:
and under the condition that the current open-circuit voltage change value is larger than the upper limit threshold of the open-circuit voltage change under the current test duration, or the current open-circuit voltage change value is smaller than the lower limit threshold of the open-circuit voltage change under the current test duration, determining that the first electric core is an abnormal electric core.
Optionally, the detection apparatus for an abnormal electrical core may further include a storage module, where the storage module is configured to store a program code of the detection apparatus for an abnormal electrical core, and the like.
As shown in fig. 6, an embodiment of the present application further provides a device for detecting an abnormal electrical core, where the device may be integrated in a second electronic device that executes the method shown in fig. 1, and the device may include: an acquisition module 21, a determination module 22 and a sending module 23.
The obtaining module 21 executes S401, S402, and S405 in the above method embodiment, the determining module 22 executes S403 and S404 in the above method embodiment, and the sending module 23 executes S406 in the above method embodiment.
Specifically, the obtaining module 21 is configured to obtain open-circuit voltages of the M sample electric cores at a third test time; the charge states of the M sample battery cells are preset charge states, and the battery cell models of the M sample battery cells are target models; m is a positive integer; the obtaining module 21 is further configured to obtain open-circuit voltages of the M sample cells at the K test moments respectively; the K test moments are K different moments after the third test moment; k is a positive integer; the determining module 22 is configured to determine, based on the open-circuit voltages of the M sample cells at the third test time and the open-circuit voltages of the M sample cells at the K test times, open-circuit voltage change values of the M sample cells at the K test durations; the test duration in the K test durations corresponds to the test time in the K test times one by one; the determining module 22 is further configured to determine a standard open-circuit voltage variation diagram of the target model based on the open-circuit voltage variation values of the M sample electric cores for the K test durations; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; the obtaining module 21 is further configured to obtain an offline test parameter set; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at the first test moment; the cell models of the N cells to be tested are target models; a sending module 23, configured to transmit the offline test parameter set and the standard open-circuit voltage variation diagram to the first electronic device; the user corresponding to the first electronic device is a manufacturer of the battery module or the battery pack.
Optionally, in a possible design manner, the determining module 22 is specifically configured to:
screening W sample cells from the M sample cells based on open-circuit voltage variation values of the M sample cells in K test durations; the W sample cells are not abnormal cells; determining K open-circuit voltage change mean values of the W sample cells under the K test durations and K open-circuit voltage change standard deviations of the W sample cells under the K test durations based on the open-circuit voltage change values of the W sample cells under the K test durations; determining K open-circuit voltage change threshold ranges of the W sample electric cores under K test durations based on K open-circuit voltage change mean values of the W sample electric cores under K test durations and K open-circuit voltage change standard deviations of the W sample electric cores under K test durations; and determining a standard open circuit voltage change diagram based on the K open circuit voltage change threshold ranges.
Optionally, in another possible design, the determining module 22 is further specifically configured to:
determining an average value of open-circuit voltage changes of the M sample cells under the target testing duration and a standard deviation of the open-circuit voltage changes of the M sample cells under the target testing duration based on the open-circuit voltage changes of the M sample cells under the target testing duration; the target test duration corresponds to a target test time in the K test times, and the target test time is the last test time in the K test times; if the first value of the second battery cell is smaller than the second value, determining the second battery cell as a battery cell of the W sample battery cells; the first value is a difference value between an open-circuit voltage change value of the second cell at the target testing time length and an open-circuit voltage change mean value of the M sample cells at the target testing time length; the second value is three times of the standard deviation of the open-circuit voltage variation of the M sample battery cells under the target test duration; the second cell is any one of the M sample cells.
Optionally, in another possible design manner, the third testing time is a time after the states of charge of the M sample cells are adjusted to the preset states of charge for the preset duration.
Optionally, the detection apparatus for an abnormal electrical core may further include a storage module, where the storage module is configured to store a program code of the detection apparatus for an abnormal electrical core, and the like.
As shown in fig. 7, an embodiment of the present application further provides an electronic device, where the electronic device may be a first electronic device in the embodiment of the present application, or may be a second electronic device in the embodiment of the present application. The electronic device includes a memory 41, a processor 42 (42-1 and 42-2), a bus 43, and a communication interface 44; the memory 41 is used for storing computer execution instructions, and the processor 42 is connected with the memory 41 through a bus 43; when the electronic device operates, the processor 42 executes the computer execution instruction stored in the memory 41, so that the electronic device executes the method for detecting an abnormal electrical core provided in the foregoing embodiment.
In particular implementations, processor 42 may include one or more Central Processing Units (CPUs), such as CPU0 and CPU1 shown in FIG. 7, as an example. And as an example, the electronic device may include multiple processors 42, such as processor 42-1 and processor 42-2 shown in fig. 7. Each of the processors 42 may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). Processor 42 may refer herein to one or more devices, circuits, and/or processing cores that process data (e.g., computer program instructions).
The memory 41 may be, but is not limited to, a read-only memory 41 (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 41 may be self-contained and coupled to the processor 42 via a bus 43. The memory 41 may also be integrated with the processor 42.
In a specific implementation, the memory 41 is used for storing data in the present application and computer-executable instructions corresponding to software programs for executing the present application. The processor 42 may perform various functions of the electronic device by running or executing software programs stored in the memory 41, and by calling up data stored in the memory 41.
The communication interface 44 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as a control system, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), etc. The communication interface 44 may include a receiving unit implementing a receiving function and a transmitting unit implementing a transmitting function.
The bus 43 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an extended ISA (enhanced industry standard architecture) bus, or the like. The bus 43 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.
As an example, with reference to fig. 6, the function implemented by the acquisition module in the abnormal cell detection apparatus is the same as the function implemented by the receiving unit in fig. 7, the function implemented by the determination module in the abnormal cell detection apparatus is the same as the function implemented by the processor in fig. 7, the function implemented by the transmission module in the abnormal cell detection apparatus is the same as the function implemented by the transmission unit in fig. 7, and the function implemented by the storage module in the abnormal cell detection apparatus is the same as the function implemented by the storage in fig. 7.
For the explanation of the related contents in this embodiment, reference may be made to the above method embodiments, which are not described herein again.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
An embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the computer executes the instructions, the computer is enabled to execute the method for detecting an abnormal electrical core provided in the foregoing embodiment.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a RAM, a ROM, an erasable programmable read-only memory (EPROM), a register, a hard disk, an optical fiber, a CD-ROM, an optical storage device, a magnetic storage device, any suitable combination of the foregoing, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method for detecting an abnormal battery cell is applied to first electronic equipment, a user corresponding to the first electronic equipment is a manufacturer of a battery module or a battery pack, and the method comprises the following steps:
receiving an offline test parameter set and a standard open-circuit voltage variation graph transmitted by second electronic equipment; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at a first test moment; the cell types of the N cells to be tested are target types; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; the user corresponding to the second electronic equipment is a manufacturer of the battery cell; n is a positive integer;
acquiring an online test parameter set; the online test parameter set comprises open-circuit voltages of the N electric cores to be tested at a second test moment; the second test time is subsequent to the first test time;
and detecting abnormal cells from the N cells to be detected based on the offline test parameter set, the online test parameter set and the standard open-circuit voltage variation diagram.
2. The method according to claim 1, wherein the detecting an abnormal cell from the N cells to be tested based on the offline test parameter set, the online test parameter set, and the standard open-circuit voltage variation diagram includes:
determining the current test duration based on the first test time and the second test time;
determining a current open-circuit voltage change value of a first battery cell under the current test duration based on an open-circuit voltage of the first battery cell at a first test time and an open-circuit voltage of the first battery cell at a second test time; the first battery cell is any one of the N battery cells to be tested;
determining that the battery cell of the target model corresponds to the open-circuit voltage change threshold range under the current test duration based on the standard open-circuit voltage change diagram;
and determining whether the first electric core is the abnormal electric core or not based on the threshold range of the change of the open-circuit voltage under the current test duration and the current change value of the open-circuit voltage.
3. The method according to claim 2, wherein the threshold range of the change of the open-circuit voltage in the current test duration includes an upper threshold of the change of the open-circuit voltage in the current test duration and a lower threshold of the change of the open-circuit voltage in the current test duration, and the determining whether the first battery cell is the abnormal battery cell based on the threshold range of the change of the open-circuit voltage in the current test duration and the change value of the current open-circuit voltage includes:
and under the condition that the current open-circuit voltage change value is larger than the upper limit threshold of the open-circuit voltage change under the current test duration, or the current open-circuit voltage change value is smaller than the lower limit threshold of the open-circuit voltage change under the current test duration, determining that the first battery cell is the abnormal battery cell.
4. A method for detecting an abnormal battery cell is applied to a second electronic device, wherein a user corresponding to the second electronic device is a manufacturer of the battery cell, and the method comprises the following steps:
acquiring open-circuit voltages of the M sample battery cells at a third test moment; the charge states of the M sample battery cells are preset charge states, and the battery cell models of the M sample battery cells are target models; m is a positive integer;
respectively obtaining open-circuit voltages of the M sample battery cells at K test moments; the K test moments are K different moments after the third test moment; k is a positive integer;
determining open-circuit voltage change values of the M sample electric cores in K test durations based on open-circuit voltages of the M sample electric cores at a third test time and open-circuit voltages of the M sample electric cores at K test times; the test duration in the K test durations corresponds to the test time in the K test times one by one;
determining a standard open-circuit voltage variation graph of the target model based on the open-circuit voltage variation values of the M sample battery cells in K test durations; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations;
acquiring a parameter set of offline test; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at a first test moment; the cell models of the N cells to be tested are the target models;
transmitting the offline test parameter set and the standard open-circuit voltage variation graph to first electronic equipment; the user corresponding to the first electronic equipment is a manufacturer of the battery module or the battery pack.
5. The method according to claim 4, wherein the determining, based on the open-circuit voltage variation values of the M sample cells for the K test durations, a standard open-circuit voltage variation diagram of the target model includes:
screening W sample electric cores from the M sample electric cores based on the open-circuit voltage variation values of the M sample electric cores in K test durations; the W sample cells are not abnormal cells;
determining K open-circuit voltage change mean values of the W sample electric cores in K test durations and K open-circuit voltage change standard deviations of the W sample electric cores in the K test durations based on the open-circuit voltage change values of the W sample electric cores in the K test durations;
determining K open-circuit voltage change threshold ranges of the W sample electric cores under K test durations based on K open-circuit voltage change mean values of the W sample electric cores under K test durations and K open-circuit voltage change standard deviations of the W sample electric cores under K test durations;
and determining the standard open-circuit voltage change graph based on the K open-circuit voltage change threshold ranges.
6. The method according to claim 5, wherein the screening W sample cells from the M sample cells based on the open-circuit voltage variation values of the M sample cells for the K test durations comprises:
determining an open-circuit voltage change mean value of the M sample cells under the target test duration and an open-circuit voltage change standard deviation of the M sample cells under the target test duration based on the open-circuit voltage change values of the M sample cells under the target test duration; the target test duration corresponds to a target test time in the K test times, and the target test time is the last test time in the K test times;
if the first value of a second cell is smaller than the second value, determining the second cell as a cell in the W sample cells; the first value is a difference value between an open-circuit voltage change value of the second battery cell in a target test duration and an open-circuit voltage change mean value of the M sample battery cells in the target test duration; the second value is three times of the standard deviation of the open-circuit voltage variation of the M sample cells under the target test duration; the second cell is any one of the M sample cells.
7. The method according to claim 4, wherein the third test time is a time after the states of charge of the M sample cells are adjusted to the preset states of charge for a preset time period.
8. The utility model provides a detection apparatus of unusual electric core, its characterized in that is applied to first electronic equipment, the user that first electronic equipment corresponds is the producer of battery module or battery package, the device includes:
the receiving module is used for receiving an offline test parameter set and a standard open-circuit voltage variation graph transmitted by the second electronic equipment; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at a first test moment; the cell models of the N cells to be tested are target models; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations; the user corresponding to the second electronic equipment is a manufacturer of the battery cell; n is a positive integer;
the acquisition module is used for acquiring an online test parameter set; the online test parameter set comprises open-circuit voltages of the N electric cores to be tested at a second test moment; the second test time is subsequent to the first test time;
and the detection module is used for detecting abnormal electric cores from the N electric cores to be detected based on the offline test parameter set, the online test parameter set and the standard open-circuit voltage change diagram.
9. The utility model provides a detection apparatus of unusual electric core, its characterized in that is applied to second electronic equipment, the use user that second electronic equipment corresponds is the producer of electric core, the device includes:
the acquisition module is used for acquiring open-circuit voltages of the M sample battery cells at a third test moment; the charge states of the M sample battery cells are preset charge states, and the battery cell models of the M sample battery cells are target models; m is a positive integer;
the acquisition module is further used for respectively acquiring open-circuit voltages of the M sample battery cells at the K test moments; the K test moments are K different moments after the third test moment; k is a positive integer;
the determining module is configured to determine, based on the open-circuit voltages of the M sample cells at the third test time and the open-circuit voltages of the M sample cells at the K test times, open-circuit voltage change values of the M sample cells for the K test durations; the test duration in the K test durations corresponds to the test time in the K test times one by one;
the determining module is further configured to determine a standard open-circuit voltage variation graph of the target model based on the open-circuit voltage variation values of the M sample cells for the K test durations; the standard open-circuit voltage variation graph is used for representing the open-circuit voltage variation threshold range of the battery cell of the target model under different test durations;
the obtaining module is further configured to obtain a parameter set for offline testing; the offline test parameter set comprises open-circuit voltages of the N electric cores to be tested at a first test moment; the cell models of the N cells to be tested are the target models;
the sending module is used for transmitting the offline test parameter set and the standard open-circuit voltage variation graph to first electronic equipment; the user corresponding to the first electronic equipment is a manufacturer of the battery module or the battery pack.
10. The system for detecting the abnormal battery cell is characterized by comprising first electronic equipment and second electronic equipment; the first electronic device is configured to execute the method for detecting an abnormal cell according to any one of claims 1 to 3; the second electronic device is configured to execute the method for detecting an abnormal electrical core according to any one of claims 4 to 7.
CN202210840183.2A 2022-07-18 2022-07-18 Abnormal battery cell detection method, device and system Pending CN115236532A (en)

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