CN116184230A - Lithium battery testing method, device, equipment and storage medium - Google Patents

Lithium battery testing method, device, equipment and storage medium Download PDF

Info

Publication number
CN116184230A
CN116184230A CN202310183431.5A CN202310183431A CN116184230A CN 116184230 A CN116184230 A CN 116184230A CN 202310183431 A CN202310183431 A CN 202310183431A CN 116184230 A CN116184230 A CN 116184230A
Authority
CN
China
Prior art keywords
test
target object
lithium battery
nominal parameter
image
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.)
Pending
Application number
CN202310183431.5A
Other languages
Chinese (zh)
Inventor
范友利
范丹青
钟伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dongguan Guanda Automation Equipment Co ltd
Original Assignee
Dongguan Guanda Automation Equipment Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Dongguan Guanda Automation Equipment Co ltd filed Critical Dongguan Guanda Automation Equipment Co ltd
Priority to CN202310183431.5A priority Critical patent/CN116184230A/en
Publication of CN116184230A publication Critical patent/CN116184230A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • 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

Abstract

The application relates to the technical field of battery testing, in particular to a lithium battery testing method, a device, equipment and a storage medium, wherein the technical scheme of the method is as follows: obtaining connection information associated with a target object, wherein the target object is a battery to be tested; acquiring image information associated with a target object based on the connection information; resolving the image information to obtain nominal parameter information associated with the target object; acquiring a test mode associated with the target object, wherein the test mode comprises a charging test and a discharging test; adjusting test parameters based on the test pattern and the nominal parameter information; the test parameters comprise a test range and a current limit value; and finishing debugging and generating the starting test reminding information. According to the lithium battery testing device, the testing range is adjusted by automatically detecting the nominal parameters of the lithium battery, so that the convenience of detection operation is improved.

Description

Lithium battery testing method, device, equipment and storage medium
Technical Field
The present disclosure relates to the field of battery testing technologies, and in particular, to a method, a system, a device, and a storage medium for testing a lithium battery.
Background
Lithium batteries are a type of batteries using a nonaqueous electrolyte solution with lithium metal or a lithium alloy as a positive and negative electrode material. The lithium battery has the advantages of small volume, long service life and no pollution, so the lithium battery is widely applied to the aspects of mobile communication equipment, traffic power supply and the like. Therefore, in order to improve the use safety of the lithium battery, a series of tests are required before the lithium battery leaves the factory to ensure that the lithium battery has safety in the application process.
At present, the lithium battery has more test items, generally comprises an overcharge test, an overdischarge test, a short circuit test and the like, and the lithium battery charging test device generally comprises a device main body, wherein a display area is arranged on one side of the device main body, a selection area is arranged on the other side of the device main body, a plurality of test selection buttons are arranged at the selection area of the device main body, and two connecting wires for electrically connecting an anode and a cathode of the lithium battery are further arranged on the device main body. When the lithium battery is required to be tested, a tester accesses the positive electrode and the negative electrode of the lithium battery to the lithium battery charging test equipment correspondingly to the two connecting wires respectively. In the lithium battery testing process, the display area of the equipment main body can display real-time detection parameters of the lithium battery, such as real-time current parameters, real-time voltage parameters and the like, so that a detector can record actual detection data of the lithium battery.
In practical operation, because the nominal parameters of different types of lithium batteries are different, before testing, a tester needs to adjust the testing range or adjust the current limiting value according to the nominal parameters of the lithium batteries, which requires the tester to check the nominal parameters of the lithium batteries before starting testing and then select the testing range, which brings inconvenience to the testing process, and therefore, there is still a need for improvement.
Disclosure of Invention
The application aims to provide a lithium battery testing method, device, equipment and storage medium, which can automatically detect the nominal parameters of a lithium battery to adjust the testing range so as to improve the convenience of detection operation.
The first object of the present invention is to provide a lithium battery testing method, which is realized by the following technical scheme:
a lithium battery testing method comprising:
obtaining connection information associated with a target object, wherein the target object is a battery to be tested;
acquiring image information associated with a target object based on the connection information;
resolving the image information to obtain nominal parameter information associated with the target object;
acquiring a test mode associated with the target object, wherein the test mode comprises a charging test and a discharging test;
adjusting test parameters based on the test pattern and the nominal parameter information; the test parameters comprise a test range and a current limit value;
and finishing debugging and generating the starting test reminding information.
In the above scheme, the target object is the battery to be tested, and when the connection information with the target object is acquired, the electric connection relation between the target object and the test equipment is indicated, so that the image information related to the target object is acquired again, and the nominal parameter information displayed on the surface of the target object is acquired from the image information, so that the steps of checking the nominal parameter of the target object by a detector, adjusting the test parameter in the test equipment and the like are reduced, and the convenience of detecting the target object is improved. After the debugging test parameters are finished, generating test starting reminding information so as to enable a detector to know that the current target object is in a detection state.
Preferably, the step of parsing the image information to obtain nominal parameter information associated with the target object includes:
carrying out gray processing on the image information to obtain a gray image;
determining a region of a nominal parameter of the gray scale image;
and carrying out character recognition on the region of the nominal parameter of the gray image to obtain nominal parameter information.
In the scheme, the image information is preprocessed, so that the accuracy of character recognition of the gray level image is improved later, and meanwhile, the area of the nominal parameter in the gray level image is determined, so that the nominal parameter of the area can be recognized conveniently and quickly, and the detection time is saved.
Preferably, the step of determining the region of the nominal parameter of the gray image includes:
performing feature extraction on each pixel point in the gray level image, and combining the feature vectors of each pixel point to form a feature data set; clustering the characteristic data set according to a K-Means clustering algorithm, and dividing different characteristic vectors to obtain a K-Means clustering result;
and analyzing the K-Means clustering result, and determining each cluster of the K-Means clusters to which the corresponding pixel point belongs so as to determine the region of the nominal parameter of the gray image.
The gray scale processing is carried out on the image, so that the value span of the pixel points in the gray scale image is larger, the feature extraction is conveniently carried out on each pixel point in the gray scale image, and the obtained feature vectors are larger in difference, so that the different feature vectors can be conveniently distinguished by adopting a K-Means clustering algorithm, and the position of the nominal parameter in the gray scale image can be rapidly determined.
Preferably, after the step of generating the test start reminder, the method further includes:
determining nominal parameter information and test parameters associated with the test pattern based on the test pattern;
calculating a maximum current value and a maximum voltage value associated with the target object based on the nominal parameter information;
formulating a reference curve associated with the target object based on the nominal parameter information, the maximum current value, and the maximum voltage value;
during the test, display reference curve information is generated to display the reference curve.
In the above scheme, the maximum current value and the maximum voltage value of the target object are calculated according to the nominal parameters obtained in the previous steps, and because the target object is tested in an electrical performance-related manner, the current upper limit value and the voltage upper limit value of the target object can be determined through the nominal parameter information, the maximum current value, the maximum voltage value and the reference curve prepared by the protection parameters, so that in the testing process, a detector can compare with the actual detection value of the target object according to the reference curve, and whether the target object has an abnormal condition in the testing process can be rapidly determined.
Preferably, the step of formulating a reference curve associated with the target object based on the nominal parameter information, the maximum current value, and the maximum voltage value includes:
when the test mode is determined to be a charging test, the nominal parameter information comprises a charging current value of a target object and the capacity of the target object;
calculating a maximum charging power p_max based on the charging current value;
calculating a capacity change rate Kc based on the maximum charging power P_max and the capacity C;
determining a minimum capacity C0 of the battery based on the capacity change rate Kc of the battery;
calculating the maximum capacity C_max of the battery based on the minimum capacity C0 of the battery and the maximum charging current I_max;
determining a Y-axis range [ C0, c_max ] based on the minimum capacity C0 and the maximum capacity Cmax;
determining an X-axis range [0, t_max ], wherein t_max is the maximum time;
and adopting a nonlinear programming model to formulate a path function of the curve, wherein the curve associated with the path function is a reference curve.
In the above scheme, because the parameters required to be used by different test modes are different, the nominal parameter information associated with the test mode is determined based on the test mode, the test mode is taken as a charging test example, the maximum capacity and the minimum capacity of the target object are obtained, and then the nonlinear programming model is adopted to determine the reference curve in the charging test, so that the relationship between the capacity and the time of the target object in the charging test process can be accurately simulated, and the reference is provided for the change trend of the detector between the capacity and the test time of the target object in the actual charging test process.
The second purpose of the application is to provide a lithium battery test system, which is helpful for improving the convenience of detection operation.
The second object of the present invention is achieved by the following technical solutions:
a lithium battery test system, comprising:
a first acquisition module: the method comprises the steps of acquiring connection information associated with a target object, wherein the target object is a battery to be tested;
and a second acquisition module: the image information is used for acquiring image information associated with the target object based on the connection information;
and an analysis module: the image information is used for analyzing to obtain nominal parameter information associated with the target object; and a third acquisition module: the method comprises the steps of acquiring a test mode associated with the target object, wherein the test mode comprises a charging test and a discharging test;
and an adjustment module: for adjusting a test parameter based on the nominal parameter information; the test parameters comprise a test range and a current limit value;
the generation module is used for: and the method is used for generating the test starting reminding information.
The third object of the present application is to provide a controller, which is realized by the following technical scheme:
a controller comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing a lithium battery test method as described in the above schemes.
A fourth object of the present application is to provide a computer readable storage medium, which is realized by the following technical solutions: a computer readable storage medium storing a computer program capable of being loaded by a processor and executing any one of the above lithium battery testing methods.
The fifth object of the present application is to provide a lithium battery testing device, which can automatically detect the nominal parameter of the lithium battery to adjust the testing range, so as to improve the convenience of the detection operation.
The fifth object of the present invention is achieved by the following technical solutions:
the lithium battery testing device comprises a lithium battery testing machine main body, an image acquisition unit, a display unit and the controller in the scheme;
the controller is arranged on the lithium battery tester main body;
the lithium battery testing machine main body is provided with two connecting wires for electrically connecting the positive electrode and the negative electrode of the lithium battery;
the display unit is arranged on the lithium battery tester main body and used for displaying a reference curve, and is connected with the controller;
the image acquisition unit is used for acquiring image information associated with a target object, and is connected with the controller.
Before testing the lithium battery, a detector connects the positive electrode of the lithium battery with one of the connecting lines, and the negative electrode of the lithium battery is connected with the other connecting line, so that the lithium battery test system is electrically connected with the lithium battery, at the moment, the controller acquires the connection information and then controls the image acquisition unit to acquire the image information of the lithium battery, so as to acquire the nominal parameter information displayed on the surface of the target object from the image information, thereby being beneficial to reducing the steps of checking the nominal parameter of the target object by the detector, adjusting the test parameter in the test equipment and the like, and improving the convenience of detection operation on the target object. After the debugging test parameters are finished, the controller generates a start test reminding message, and the controller controls the display unit to display the start test reminding message so as to enable a detector to know that the current target object is in a detection state.
In summary, the present application includes the following beneficial technical effects:
1. when the connection information of the target object is acquired, the electric connection relation between the target object and the testing equipment is indicated, and therefore image information related to the target object is acquired again, and nominal parameter information displayed on the surface of the target object is acquired from the image information, so that the steps of checking nominal parameters of the target object, adjusting testing parameters in the testing equipment and the like by a detector are reduced, and convenience in detecting the target object is improved. After the debugging test parameters are finished, generating test starting reminding information so as to enable a detector to know that the current target object is in a detection state.
2. Because the parameters needed to be used by different test modes are different, nominal parameter information related to the test modes is determined based on the test modes, the test modes are taken as charging test examples, and a nonlinear programming model is adopted to determine a reference curve during the charging test after the maximum capacity and the minimum capacity of the target object are obtained, so that the relationship between the capacity and the time of the target object in the charging test process can be accurately simulated, and the reference is provided for the change trend of the detector between the capacity and the test time of the target object in the actual charging test process.
Drawings
Fig. 1 is a block flow diagram of steps S1-S6 in a lithium battery testing method according to one embodiment of the present application.
Fig. 2 is a specific flow chart of step S3 in one embodiment of the present application.
Fig. 3 is a block flow diagram of steps S7-S10 in a lithium battery testing method according to one embodiment of the present application.
Fig. 4 is a specific flowchart of step S9 in one embodiment of the present application.
Fig. 5 is a schematic structural diagram of a lithium battery test system according to an embodiment of the present application.
Fig. 6 is a schematic diagram of an internal structure of a controller according to an embodiment of the present application.
In the figure, 1, a first acquisition module; 2. a second acquisition module; 3. an analysis module; 4. a third acquisition module; 5. an adjustment module; 6. and generating a module.
Detailed Description
The present application is described in further detail below in conjunction with fig. 1-6 and examples.
The embodiment of the application discloses a lithium battery testing device, which is applied to testing of the lithium battery in the aspect of electrical performance, such as a charging test, a discharging test and the like, so as to improve the convenience of detecting the lithium battery by a detecting person. The lithium battery testing device comprises a lithium battery testing machine body and a controller, wherein the controller is arranged inside the lithium battery testing machine body. The lithium battery tester main body comprises a connecting area, a selecting area and a display area. Two connecting wires are arranged at the connecting area of the lithium battery testing machine main body, one end of each connecting wire is connected into the lithium battery testing machine main body and connected with the controller, and the other end of each connecting wire is used for being connected with the anode of the lithium battery; the other end of the other connecting wire is used for being connected with the negative electrode of the lithium battery, and the two connecting wires are connected with the lithium battery so as to realize that the lithium battery to be tested is electrically connected with the lithium battery tester main body. The selection area of the lithium battery testing machine main body is provided with a plurality of selection buttons, and the plurality of selection buttons are connected with the controller. Each selection button corresponds to a test mode. For example, the A key corresponds to a charging test mode; the button B corresponds to a discharge mode.
The display area of the lithium battery tester main body is embedded with a display unit, and in the embodiment, the display unit comprises, but is not limited to, a display screen. The display unit is connected with the controller, and in the lithium battery detection process, the display unit is used for displaying relevant test data in real time. The lithium battery tester main body is also provided with an image acquisition unit, and the image acquisition unit is connected with the controller. The image acquisition unit is used for acquiring image information related to the lithium battery to be tested, and because the surface of the battery to be tested is marked with nominal parameters, the image information is sent to the controller after being acquired by the image acquisition unit, and the controller processes the image information to acquire related parameters of the battery to be tested, so that a detector is not required to input the related parameters of the lithium battery into the controller before testing, and the convenience of detecting the lithium battery by the detector is improved.
In this embodiment, the image acquisition unit includes, but is not limited to, a camera, and the camera has a macro lens, and when the distance between the lithium battery to be tested and the main body of the lithium battery tester is small (generally in the interval of 5cm-10 cm), the camera can still acquire a clear image of the lithium battery to be tested.
The embodiment of the application discloses a lithium battery testing method which is realized based on the lithium battery testing device in the embodiment.
Referring to fig. 1, the method includes:
s1, obtaining connection information associated with a target object.
The target object is a lithium battery to be detected. Since test items of lithium batteries mainly include tests related to electrical performance of lithium batteries and appearance tests of lithium batteries. The method provided by the application is mainly applied to the electrical performance test of the lithium battery, so that the step S2 is carried out on the premise of meeting the requirement that the lithium battery to be tested is electrically connected with the lithium battery testing device, the lithium battery detection device is helped to rapidly eliminate the condition that the lithium battery is subjected to the appearance test, and the situation that the step S2 is started by mistake is avoided.
S2, acquiring image information associated with the target object based on the connection information.
On the premise that the lithium battery to be detected is determined to be electrically connected with the lithium battery testing device, the lithium battery testing device acquires an image of the lithium battery to be detected through the image acquisition unit. In preparation for testing a lithium battery, a tester directs the surface of the lithium battery with nominal parameters to the image acquisition unit so that the image acquisition unit can acquire image information containing the nominal parameters.
S3, analyzing the image information to obtain nominal parameter information associated with the target object.
Referring to fig. 2, step S3 includes:
s31, gray processing is carried out on the image information, and a gray image is obtained.
In general, the distance between the lithium battery detection device and the lithium battery to be detected is small (generally in the interval of 5cm-10 cm), so that the image acquisition unit usually shoots an image in a short distance for the image information acquired by the lithium battery to be detected, and therefore, the image is subjected to gray processing, so that noise in the image information can be eliminated, the quality of a gray image can be improved, and the speed of identifying the gray image can be improved.
S32, determining the area of the nominal parameter in the gray level image.
Specifically, step S32 includes:
s321, feature extraction is carried out on each pixel point in the gray level image, and feature vectors of each pixel point are combined to form a feature data set.
S322, clustering the feature data set according to a K-Means clustering algorithm, and dividing different feature vectors to obtain a K-Means clustering result.
S323, analyzing the K-Means clustering result, and determining each cluster of the K-Means clusters to which the corresponding pixel point belongs so as to determine the area of the nominal parameter in the gray image.
S33, performing character recognition on the area of the nominal parameter in the gray level image to obtain nominal parameter information.
In some possible implementations, step S32 employs a YOLO detection algorithm to process the gray image to determine the regions of nominal parameters of the gray image.
S4, acquiring a test mode associated with the target object, wherein the test mode comprises a charging test and a discharging test.
S5, adjusting test parameters based on the test mode and nominal parameter information; the test parameters include a test span and a current limit.
After the nominal parameter information of the to-be-detected battery is determined, the testing range and the testing time are determined according to the maximum voltage value, the maximum current value, the nominal capacity and the like of the to-be-detected lithium battery, so that the detection efficiency of the lithium battery is improved, and meanwhile, the convenience of detecting the lithium battery by a detector is also improved.
S6, finishing debugging and generating test starting reminding information.
When the lithium battery detection device finishes adjusting the test parameters, the lithium battery detection device generates a start test reminding message and displays the start test reminding message at the display unit, so that a detector can also know that the adjustment of the test parameters is finished currently and the test is started.
To further improve the convenience of the test, referring to fig. 3, after step S6, the method further includes:
s7, determining nominal parameter information and test parameters associated with the test mode based on the test mode.
And S8, calculating a maximum current value and a maximum voltage value associated with the target object based on the nominal parameter information and the test parameters.
For ease of understanding, the maximum current value is set to Imax, and the maximum voltage value is set to Vmax; according to the nominal parameter information and the test parameters, determining that the capacity of the lithium battery to be tested is C and the internal resistance is R, and then:
I_max=C/R;V_max=C*R。
s9, formulating a reference curve associated with the target object based on the nominal parameter information, the test parameter, the maximum current value and the maximum voltage value.
Referring to fig. 4, the following process of developing a reference curve will be described in detail by taking a test mode as an example of a lithium battery charging test: and S901, when the test mode is determined to be a charging test, the nominal parameter information comprises a charging current value of the target object and the capacity of the target object.
S902, based on the charging current value, the maximum charging power p_max is calculated. Where p_max=i_max×v_max=c×r.
S903, calculating a capacity change rate Kc based on the maximum charging power P_max and the capacity C; capacity change rate kc=p_max/C.
S904, determining the minimum capacity C0 of the lithium battery based on the capacity change rate Kc of the battery;
where the minimum capacity c0=c×kc.
S905, calculating the maximum capacity C_max of the lithium battery based on the minimum capacity C0 of the lithium battery and the maximum charging current I_max.
Wherein, the maximum capacity C_max=C0+I_max≡2/2×Kc of the lithium battery.
S906, determining the Y-axis range as [ C0, C_max ] based on the minimum capacity C0 and the maximum capacity C_max.
S907, determining the X-axis range as [0, t_max ], wherein t_max is the maximum time.
S908, using a nonlinear programming model to formulate a path function of a curve as C (t) =c0+ (c_max-C0) ×sin (a×t+b), calculating a parameter a and a parameter B using a minimum capacity C0, a maximum capacity c_max, and a time t, and determining the path function according to the parameter a and the parameter B.
S10, in the testing process, generating display reference curve information to display a reference curve.
The reference curve prepared by the nominal parameter information, the test parameter, the maximum current value, the maximum voltage value and the protection parameter can be used for a detector to reference the capacity change, the voltage change or the current change of the lithium battery in the test process. In the testing process, a detector can also compare with the actual detection value of the target object according to the reference curve so as to rapidly determine whether the target object has an abnormal condition in the testing process.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
The embodiment of the application also discloses a lithium battery test system which corresponds to the lithium battery test method in the embodiment one by one. As shown in fig. 5, the lithium battery test system includes: the first acquiring module 1, the second acquiring module 2, the analyzing module 3, the third acquiring module 4, the adjusting module 5 and the generating module 6, and each functional module is described in detail as follows: the first acquisition module 1: and the method is used for acquiring the connection information associated with the target object, wherein the target object is the battery to be tested.
The second acquisition module 2: for acquiring image information associated with the target object based on the connection information.
Analysis module 3: for parsing the image information to obtain nominal parameter information associated with the target object.
The third acquisition module 4: the method is used for acquiring a test mode associated with the target object, wherein the test mode comprises a charging test and a discharging test.
Adjustment module 5: for adjusting the test parameters based on the nominal parameter information; the test parameters include a test span and a current limit.
Generating module 6: and the method is used for generating the test starting reminding information.
When the first acquisition module 1 is adopted to acquire the connection information of the target object, the second acquisition module 2 is adopted to acquire the image information related to the target object, and then the analysis module 3 is adopted to acquire the nominal parameter information displayed on the surface of the target object from the image information, so that the steps of checking the nominal parameter of the target object by a detection person, adjusting the test parameter in the test equipment and the like are reduced, the third acquisition module 4 is adopted to acquire the test mode of the target object, and the test parameter is adjusted according to the test mode and the nominal parameter information in the next step, so that the test parameter can be matched with the parameter index of the lithium battery. After the debugging test parameters are finished, the generation module 6 generates a start test reminding message so as to enable a detector to know that the current target object is in a detection state.
For specific limitations of the lithium battery test system, reference may be made to the above limitations of the lithium battery test method, and no further description is given here. The modules in the lithium battery test system may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or independent of a processor in the control device, or may be stored in software in a memory in the control device, so that the processor may call and execute operations corresponding to the above modules.
The embodiment of the present application further provides a controller (i.e., the controller disposed in the main body of the lithium battery testing machine in the foregoing embodiment) including a memory and a processor, where the memory stores a computer program capable of being loaded by the processor and executing the lithium battery testing method:
s1, obtaining connection information associated with a target object, wherein the target object is a battery to be tested.
S2, acquiring image information associated with the target object based on the connection information.
S3, analyzing the image information to obtain nominal parameter information associated with the target object.
S4, acquiring a test mode associated with the target object, wherein the test mode comprises a charging test and a discharging test.
S5, adjusting test parameters based on the test mode and nominal parameter information; the test parameters include a test span and a current limit.
S6, finishing debugging and generating test starting reminding information.
In addition, the processor in the controller, when executing the computer program, executes the steps of all the lithium battery testing methods.
Wherein the computer is a server. As shown in fig. 6, the controller includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the controller is configured to provide computing and control capabilities. The memory of the controller includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the controller is used to store data. The network interface of the controller is used for communicating with an external terminal through network connection. The computer program when executed by a processor implements a lithium battery testing method.
The embodiment of the application also discloses a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, realizes the following steps:
s1, obtaining connection information associated with a target object, wherein the target object is a battery to be tested.
S2, acquiring image information associated with the target object based on the connection information.
S3, analyzing the image information to obtain nominal parameter information associated with the target object.
S4, acquiring a test mode associated with the target object, wherein the test mode comprises a charging test and a discharging test.
S5, adjusting test parameters based on the test mode and nominal parameter information; the test parameters include a test span and a current limit.
S6, finishing debugging and generating test starting reminding information.
The processor, when executing the computer program, is also capable of executing the steps of the method for testing a lithium battery in any of the embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of a computer program, which may be stored on a non-transitory computer readable storage medium and which, when executed, may comprise the steps of the above-described embodiments of the methods. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims (9)

1. A lithium battery testing method, comprising:
obtaining connection information associated with a target object, wherein the target object is a battery to be tested;
acquiring image information associated with a target object based on the connection information;
resolving the image information to obtain nominal parameter information associated with the target object;
acquiring a test mode associated with the target object, wherein the test mode comprises a charging test and a discharging test;
adjusting test parameters based on the test pattern and the nominal parameter information; the test parameters comprise a test range and a current limit value;
and finishing debugging and generating the starting test reminding information.
2. The method of claim 1, wherein the step of parsing the image information to obtain nominal parameter information associated with the target object comprises:
carrying out gray processing on the image information to obtain a gray image;
determining a region of a nominal parameter of the gray scale image;
and carrying out character recognition on the region of the nominal parameter of the gray image to obtain nominal parameter information.
3. The method of claim 2, wherein the step of determining the region of the nominal parameter in the gray scale image comprises:
performing feature extraction on each pixel point in the gray level image, and combining the feature vectors of each pixel point to form a feature data set;
clustering the characteristic data set according to a K-Means clustering algorithm, and dividing different characteristic vectors to obtain a K-Means clustering result;
and analyzing the K-Means clustering result, and determining each cluster of the K-Means clusters to which the corresponding pixel point belongs so as to determine the region of the nominal parameter of the gray image.
4. The method of claim 1, wherein after the step of generating the test initiation reminder, the method further comprises:
determining nominal parameter information and test parameters associated with the test pattern based on the test pattern;
calculating a maximum current value and a maximum voltage value associated with the target object based on the nominal parameter information;
formulating a reference curve associated with the target object based on the nominal parameter information, the maximum current value, and the maximum voltage value;
during the test, display reference curve information is generated to display the reference curve.
5. The method of claim 4, wherein the step of formulating a reference curve associated with the target object based on the nominal parameter information, the maximum current value, and the maximum voltage value comprises:
when the test mode is determined to be a charging test, the nominal parameter information comprises a charging current value of a target object and the capacity of the target object;
calculating a maximum charging power p_max based on the charging current value;
calculating a capacity change rate Kc based on the maximum charging power P_max and the capacity C;
determining a minimum capacity C0 of the battery based on the capacity change rate Kc of the battery;
calculating the maximum capacity C_max of the battery based on the minimum capacity C0 of the battery and the maximum charging current I_max;
determining a Y-axis range [ C0, c_max ] based on the minimum capacity C0 and the maximum capacity Cmax;
determining an X-axis range [0, t_max ], wherein t_max is the maximum time;
and adopting a nonlinear programming model to formulate a path function of the curve, wherein the curve associated with the path function is a reference curve.
6. A lithium battery test system, comprising:
a first acquisition module (1): the method comprises the steps of acquiring connection information associated with a target object, wherein the target object is a battery to be tested;
a second acquisition module (2): the image information is used for acquiring image information associated with the target object based on the connection information;
analysis module (3): the image information is used for analyzing to obtain nominal parameter information associated with the target object;
third acquisition module (4): the method comprises the steps of acquiring a test mode associated with the target object, wherein the test mode comprises a charging test and a discharging test;
adjustment module (5): for adjusting a test parameter based on the nominal parameter information; the test parameters comprise a test range and a current limit value;
generating module (6): and the method is used for generating the test starting reminding information.
7. A controller comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing a lithium battery testing method according to any of claims 1-5.
8. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the lithium battery testing method according to any of claims 1-5.
9. A lithium battery testing device, comprising a lithium battery tester main body, an image acquisition unit, a display unit and the controller of claim 7;
the controller is arranged on the lithium battery tester main body;
the lithium battery testing machine main body is provided with two connecting wires for electrically connecting the positive electrode and the negative electrode of the lithium battery;
the display unit is arranged on the lithium battery tester main body and used for displaying a reference curve, and is connected with the controller;
the image acquisition unit is used for acquiring image information associated with a target object, and is connected with the controller.
CN202310183431.5A 2023-02-28 2023-02-28 Lithium battery testing method, device, equipment and storage medium Pending CN116184230A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310183431.5A CN116184230A (en) 2023-02-28 2023-02-28 Lithium battery testing method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310183431.5A CN116184230A (en) 2023-02-28 2023-02-28 Lithium battery testing method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN116184230A true CN116184230A (en) 2023-05-30

Family

ID=86432496

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310183431.5A Pending CN116184230A (en) 2023-02-28 2023-02-28 Lithium battery testing method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN116184230A (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102655549A (en) * 2012-01-31 2012-09-05 吕林波 Method for estimating remaining time and capacity of battery
CN110008917A (en) * 2019-04-11 2019-07-12 国网河南省电力公司电力科学研究院 Fault detection method based on the relay protection device constant value forms data that table understands
CN111077468A (en) * 2019-12-27 2020-04-28 孚能科技(赣州)股份有限公司 Battery test flow generation method and generation device
CN111239626A (en) * 2020-01-21 2020-06-05 福建时代星云科技有限公司 Method for automatically generating automobile battery rapid detection scheme
CN111597635A (en) * 2020-05-14 2020-08-28 广州极飞科技有限公司 Unmanned aerial vehicle battery parameter determination method and device, electronic equipment and storage medium
CN213276690U (en) * 2020-11-12 2021-05-25 天津长青电子科技发展有限公司 Collection and inspection integrated article incoming material inspection device
CN113252665A (en) * 2021-04-27 2021-08-13 深圳市安仕新能源科技有限公司 Product testing method and device, electronic equipment and storage medium
CN113702845A (en) * 2021-09-02 2021-11-26 重庆金康动力新能源有限公司 Method and equipment for evaluating core parameters of retired lithium battery
CN114394033A (en) * 2022-03-24 2022-04-26 深圳市星卡科技有限公司 Battery pack detection method, device, equipment and medium

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102655549A (en) * 2012-01-31 2012-09-05 吕林波 Method for estimating remaining time and capacity of battery
CN110008917A (en) * 2019-04-11 2019-07-12 国网河南省电力公司电力科学研究院 Fault detection method based on the relay protection device constant value forms data that table understands
CN111077468A (en) * 2019-12-27 2020-04-28 孚能科技(赣州)股份有限公司 Battery test flow generation method and generation device
CN111239626A (en) * 2020-01-21 2020-06-05 福建时代星云科技有限公司 Method for automatically generating automobile battery rapid detection scheme
CN111597635A (en) * 2020-05-14 2020-08-28 广州极飞科技有限公司 Unmanned aerial vehicle battery parameter determination method and device, electronic equipment and storage medium
CN213276690U (en) * 2020-11-12 2021-05-25 天津长青电子科技发展有限公司 Collection and inspection integrated article incoming material inspection device
CN113252665A (en) * 2021-04-27 2021-08-13 深圳市安仕新能源科技有限公司 Product testing method and device, electronic equipment and storage medium
CN113702845A (en) * 2021-09-02 2021-11-26 重庆金康动力新能源有限公司 Method and equipment for evaluating core parameters of retired lithium battery
CN114394033A (en) * 2022-03-24 2022-04-26 深圳市星卡科技有限公司 Battery pack detection method, device, equipment and medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
丁明宇等: "《基于深度学习的图片中商品参数识别方法》", 《软件学报》, pages 1039 *

Similar Documents

Publication Publication Date Title
US11474153B2 (en) Battery pack maintenance system
CN110109029B (en) Battery cell lithium analysis parameter detection method and device, battery cell detection system and computer readable storage medium
CN112149345A (en) Battery management method and device, computer equipment and storage medium
US11567139B2 (en) Secondary battery diagnostic device
WO2022012513A1 (en) Method and apparatus for acquiring standard parameters of a car battery
CN111880106A (en) Battery state of charge detection method, equipment, storage medium and device
CN115267544A (en) Method, device, terminal and storage medium for testing reliability of battery charging strategy
CN114285103A (en) Battery charging method and system based on lithium analysis detection, automobile and medium
CN113189500B (en) Battery electric quantity calculation method and device, computer equipment and storage medium
CN114740416A (en) Hall current sensor testing method and device, computer equipment and storage medium
CN116184230A (en) Lithium battery testing method, device, equipment and storage medium
CN116331044A (en) Charging data storage system for direct-current charging pile
US20240006670A1 (en) Battery management apparatus and method
CN116188374A (en) Socket detection method, device, computer equipment and storage medium
WO2020255557A1 (en) Cell deterioration diagnosis system, diagnosis processing device, measurement device, and program
EP4068460A1 (en) Determination device, deterioration determination system, work assistance device, deterioration determination method, and computer program
JP6624272B1 (en) Energy storage device quality control method
CN108879820A (en) Modification method and system for equalizing circuit
KR20220054127A (en) Apparatus and method for detecting fault of battery
CN106405430B (en) Lithium ion battery on-line detection conversion control equipment, system and method
CN109473738B (en) Method and system for monitoring battery maintenance process, storage medium and computer equipment
CN116298991B (en) Method and system for rapidly detecting and evaluating capacity of retired battery
CN116298932B (en) Battery test data processing method, system, device, equipment and storage medium
KR20230087787A (en) Charging protocol inspection apparatus and operating method of the same
CN112240979B (en) Method for detecting voltage critical point of lithium ion battery, electronic terminal and storage medium

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