Battery testing method and apparatus, terminal, and computer-readable storage medium
By correcting the battery temperature field data, using the battery attribute information and error value relationship, the insufficient monitoring of battery abnormality status during charging of electric vehicles is solved, and accurate detection and early warning of battery abnormality is achieved.
Patent Information
- Application Number
- PCT/CN2024/127480
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-01-24
- Filing Date
- 2024-10-25
- Publication Date
- 2025-07-31
AI Technical Summary
The prior art cannot effectively monitor the abnormal battery status during charging of electric vehicles, resulting in frequent fire accidents.
By obtaining the attribute information and temperature field data of the battery, establish the corresponding relationship between the attribute information and the error value, correct the temperature field data, and determine whether the battery is abnormal.
It improves the accuracy of battery temperature field data and the accuracy of abnormal state detection to prevent battery fire risk.
Smart Images

Figure CN2024127480_31072025_PF_FP_ABST
Abstract
Description
Battery detection method, device, terminal and computer-readable storage medium
[0001] Cross-references
[0002] This application claims priority to application patent application 202410102839X, filed on January 24, 2024, the entire contents of which are incorporated herein by reference. Technical Field
[0003] The present application relates to the field of fault detection, and in particular to a battery detection method, device, terminal, and computer-readable storage medium. Background Art
[0004] When charging an electric vehicle, fires and explosions can occur due to battery overload, aging wiring, and other factors. This can cause a rapid rise in vehicle body temperature. Thermal runaway can quickly lead to fire or even explosion, causing severe economic losses and even casualties. Statistics show that over half of electric vehicle fires occur during the charging phase. Therefore, safety monitoring during the charging phase and providing early warning of abnormalities can effectively prevent fires and address potential hazards before they ignite.
[0005] Summary of the Invention
[0006] The main technical problem solved by this application is to provide a battery detection method, device, terminal and computer-readable storage medium, which can accurately monitor the status of the battery.
[0007] In a first aspect, the present application provides a battery detection method, which includes: obtaining the attribute information of the battery and the temperature field data of the battery at the current moment; correcting the temperature field data based on the attribute information of the battery to obtain corrected temperature field data; and determining whether the battery is currently abnormal based on the corrected temperature field data.
[0008] In the technical solution of the embodiment of the present application, the temperature field data of the battery at the current moment is corrected by obtaining the battery's attribute information, thereby reducing the impact of the battery's attribute information on the accuracy of the temperature field data, improving the accuracy of the battery's temperature field data, and thereby improving the accuracy of the battery's abnormal state detection.
[0009] In some embodiments, the attribute information includes at least one of a model number, an ambient temperature, and a scanning distance.
[0010] In the technical solution of the embodiment of the present application, the temperature field data of the battery collected at the current moment is corrected by the battery model, the ambient temperature of the battery, and the scanning distance when collecting the temperature field data of the battery. The error caused by the battery model, ambient temperature and scanning distance to the temperature field data is corrected, thereby improving the accuracy of the temperature field data collected at the current moment.
[0011] In some embodiments, before the step of obtaining the battery attribute information and the temperature field data of the battery at the current moment, the method further includes: pre-building a correspondence between a plurality of preset attribute information and preset error values.
[0012] In the technical solution of the embodiment of the present application, a correspondence between preset attribute information and preset error values is established, so that the preset error values corresponding to the attribute information can be quickly found through the attribute information of the battery at the current moment, thereby facilitating the subsequent acceleration of the correction speed of the temperature field data at the current moment and improving the feedback efficiency of the detection results.
[0013] In some embodiments, a correspondence between multiple preset attribute information and preset error values is pre-constructed, including: obtaining an initial temperature field of a battery sample, the battery sample is associated with preset attribute information, and the battery sample is associated with a real temperature field; based on the difference between the initial temperature field and the real temperature field corresponding to the battery sample, determining the preset error value corresponding to the preset attribute information of the battery sample.
[0014] In the technical solution of the embodiment of the present application, the temperature field data of battery samples with different attribute information are detected, and the difference between the detected temperature field and the actual temperature field is used as the error value corresponding to the attribute information.
[0015] In some embodiments, the temperature field data is corrected based on the attribute information of the battery to obtain corrected temperature field data, including: comparing the attribute information of the battery with preset attribute information, and determining a preset error value corresponding to the preset attribute information that matches the attribute information of the battery as the error information of the battery; and determining the corrected temperature field data of the battery based on the error information of the battery and the temperature field data of the battery.
[0016] In the technical solution of the embodiment of the present application, by comparing the attribute information of the battery with the preset attribute information, the error information corresponding to the attribute information can be quickly obtained, and the temperature field data collected at the current moment is corrected by the error information to obtain the true temperature field of the battery at the current moment, thereby improving the detection accuracy of the temperature field data.
[0017] In some embodiments, based on the corrected temperature field data, determining whether the battery is currently abnormal includes: determining the temperature change rate of the battery at the current moment based on the corrected temperature field data and historical temperature field data of the battery at the current moment; the historical temperature field data is the corrected temperature field data corresponding to the historical moment before the current moment; based on the temperature change rate of the battery at the current moment, determining whether the battery is currently abnormal.
[0018] In the technical solution of the embodiment of the present application, the temperature change rate at the current moment is determined by the corrected temperature field data at the current moment and the corrected temperature field data at the historical moments, and the current state of the battery can be accurately determined by the temperature change rate.
[0019] In some embodiments, based on the temperature change rate of the battery at the current moment, determining whether the battery is currently abnormal includes: in response to the temperature change rate of the battery at the current moment exceeding the warning value, determining that the battery is in an abnormal state at the current moment; controlling the charging device to stop charging the battery and issue an alarm.
[0020] In the technical solution of the embodiment of the present application, if the temperature change rate of the battery at the current moment exceeds the warning value, it indicates that the temperature change rate of the battery at the current moment is abnormal and there is a risk of fire. The charging equipment is controlled to stop charging the battery and alert the staff.
[0021] In the second aspect, the present application provides a battery detection device, which includes: an acquisition module for acquiring the attribute information of the battery and the temperature field data of the battery at the current moment; a correction module for correcting the temperature field data based on the attribute information of the battery to obtain corrected temperature field data; and an analysis module for determining whether the battery is currently abnormal based on the corrected temperature field data.
[0022] In a third aspect, the present application provides a terminal, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor is configured to execute program data to implement the steps in the above-mentioned battery detection method.
[0023] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps in the battery detection method described above are implemented.
[0024] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.
[0025] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0027] FIG1 is a schematic structural diagram of a battery detection system provided in an embodiment of the present application;
[0028] FIG2 is a flow chart of a battery detection method according to an embodiment of the present application;
[0029] FIG3 is a schematic diagram of a framework of an embodiment of a battery detection device provided in an embodiment of the present application;
[0030] FIG4 is a schematic diagram of a framework of an embodiment of a terminal provided in an embodiment of the present application;
[0031] FIG5 is a schematic diagram of a framework of an embodiment of a computer-readable storage medium provided in an embodiment of the present application. DETAILED DESCRIPTION
[0032] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.
[0033] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.
[0034] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.
[0035] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0036] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.
[0037] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).
[0038] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.
[0039] In the description of the embodiments of the present application, unless otherwise expressly specified or limited, technical terms such as "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components or interactions between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present application based on specific circumstances.
[0040] Before explaining the technical solutions provided by the embodiments of the present application, in order to facilitate understanding of the embodiments of the present application, the present application first specifically explains the problems existing in the relevant technologies: when charging the batteries in electric vehicles, due to circuit aging or battery overload after long-term use of the batteries, it is easy to cause battery fires, affecting life safety.
[0041] Currently, charging stations are unable to obtain charging data of electric vehicles during the charging process, resulting in the inability to monitor abnormal conditions of electric vehicles during the charging process.
[0042] In view of the above-mentioned problems, the embodiments of the present application provide a battery detection method, device, terminal and computer-readable storage medium, which can reduce the impact of the battery's attribute information on the accuracy of the temperature field data, improve the accuracy of the battery's temperature field data, and thereby improve the accuracy of the battery's abnormal state detection.
[0043] The technical concept of the embodiments of the present application is to establish a correspondence between the attribute information of the battery and the error value, correct the temperature field data of the battery through the error value corresponding to the attribute information, and improve the accuracy of the temperature field data at the current moment, so as to improve the detection accuracy of the abnormal state of the battery through accurate temperature field data.
[0044] The following first introduces the battery detection method provided in the embodiment of this application. The battery detection method provided in this application is applicable to battery detection of electric vehicles in a non-charging state or a charging state. This embodiment uses the battery detection of an electric vehicle in a charging scenario as an example to explain in detail.
[0045] Please refer to FIG1 , which is a schematic structural diagram of a battery abnormality detection system provided in an embodiment of the present application.
[0046] The method embodiments provided in the present application can be executed on a server, mobile terminal, computer terminal, or similar computing device. The battery detection method is applicable to a battery anomaly detection system, which includes a three-dimensional thermal imaging device, a server, and a charging device. The server is communicatively connected to the three-dimensional thermal imaging device and the charging device.
[0047] Please refer to FIG2 , which is a flow chart of a battery detection method provided in an embodiment of the present application.
[0048] An embodiment of the present application provides a battery detection method, which includes the following embodiments.
[0049] S1: Obtain the battery's attribute information and the battery's temperature field data at the current moment.
[0050] S2: Correcting the temperature field data based on the property information of the battery to obtain corrected temperature field data.
[0051] S3: Determine whether the battery is currently abnormal based on the corrected temperature field data.
[0052] In the technical solution of the embodiment of the present application, the temperature field data of the battery at the current moment is corrected by obtaining the battery's attribute information, thereby reducing the impact of the battery's attribute information on the accuracy of the temperature field data, improving the accuracy of the battery's temperature field data, and thereby improving the accuracy of the battery's abnormal state detection.
[0053] Specifically, the temperature field data of the vehicle is obtained by scanning the electric vehicle using a three-dimensional thermal imaging technology. In one embodiment, the temperature field data of the vehicle is obtained by scanning the electric vehicle using a three-dimensional thermal imaging device. A three-dimensional coordinate system of the vehicle is established, and the temperature field data collected by the three-dimensional thermal imaging device is recorded as T (x,y,z) The temperature field data is a temperature data set composed of temperature data at various locations of the vehicle.
[0054] In order to facilitate the detection of the positions of various parts of the electric vehicle and reduce data collection errors, the installation position of the three-dimensional thermal imaging device is set according to the installation position of the battery in the electric vehicle.
[0055] In one embodiment, when the battery is installed on the bottom of the vehicle, the 3D thermal imaging device is mounted on the ground or placed in a groove in the ground to provide more accurate temperature data collected by the 3D thermal imaging device. Because batteries occupy a large volume in electric vehicles, they are typically placed in a pre-defined area on the bottom of the vehicle. In one embodiment, the battery is located between the four wheels of the vehicle.
[0056] In one embodiment, after obtaining the temperature field data of the vehicle, the temperature field data corresponding to the preset area is extracted from the temperature field data of the vehicle as the temperature field data T of the battery. r(x,y,z) .
[0057] In one embodiment, the temperature field data of a preset area of the vehicle is directly collected by a three-dimensional thermal imaging device as the temperature field data T of the battery. r(x,y,z) .
[0058] The temperature field data T of the battery collected by the three-dimensional thermal imaging device r(x,y,z) Send to the server.
[0059] In some embodiments, the attribute information includes at least one of the model, ambient temperature, and scanning distance. Among them, the model can be Kirin battery, Magic Cube battery, Blade battery, Dayu battery, 4680 battery, magazine battery, 18650 battery, etc. The ambient temperature can be any temperature in the temperature range of -10 degrees Celsius to 40 degrees Celsius. The scanning distance is the distance from the three-dimensional thermal imaging device to the bottom of the vehicle, or it can be the distance from the three-dimensional thermal imaging device to the surface of the battery. The scanning distance range is 54cm-60cm. In this embodiment, the data collection for the battery is contactless and does not affect the electric vehicle.
[0060] In the technical solution of the embodiment of the present application, the temperature field data of the battery collected at the current moment is corrected by the battery model, the ambient temperature of the battery, and the scanning distance when collecting the temperature field data of the battery. The error caused by the battery model, ambient temperature and scanning distance to the temperature field data is corrected, thereby improving the accuracy of the temperature field data collected at the current moment.
[0061] In one embodiment, a plurality of correspondences between preset attribute information and preset error values are pre-established.
[0062] In the technical solution of the embodiment of the present application, a correspondence between preset attribute information and preset error values is established, so that the preset error values corresponding to the attribute information can be quickly found through the attribute information of the battery at the current moment, thereby facilitating the subsequent acceleration of the correction speed of the temperature field data at the current moment and improving the feedback efficiency of the detection results.
[0063] In some embodiments, an initial temperature field of a battery sample is obtained, the battery sample is associated with preset attribute information, and the battery sample is associated with a real temperature field; based on the difference between the initial temperature field and the real temperature field corresponding to the battery sample, a preset error value corresponding to the preset attribute information of the battery sample is determined.
[0064] In some specific embodiments, preset attribute information of a battery sample is obtained, where the preset attribute information includes that the battery type is an 18650 battery, the ambient temperature of the battery is -10 degrees Celsius, and the scanning distance is 20 cm. Specifically, a 18650 battery at an ambient temperature of -10 degrees Celsius is scanned using a three-dimensional thermal imaging device at a distance of 20 cm from the battery to obtain an initial temperature field of the battery sample. Temperature sensors disposed at multiple locations within the battery are used to detect the actual temperature field of the battery. The value obtained by subtracting the initial temperature field from the actual temperature field is used as a preset error value corresponding to the preset attribute information.
[0065] The preset error values corresponding to other preset attribute information can be obtained through the above method.
[0066] In the technical solution of the embodiment of the present application, the temperature field data of battery samples with different attribute information are detected, and the difference between the detected temperature field and the actual temperature field is used as the error value corresponding to the attribute information.
[0067] In some embodiments, based on the comparison between the battery's attribute information and the preset attribute information, the preset error value corresponding to the preset attribute information that matches the battery's attribute information is determined as the battery's error information; based on the battery's error information and the battery's temperature field data, the battery's corrected temperature field data is determined.
[0068] The temperature field data collected at the current moment of the battery is corrected through the battery error information, thereby reducing the inaccuracy of the battery temperature information caused by external factors or the battery's own properties and improving the detection accuracy of the temperature field data.
[0069] In the technical solution of the embodiment of the present application, by comparing the attribute information of the battery with the preset attribute information, the error information corresponding to the attribute information can be quickly obtained, and the temperature field data collected at the current moment is corrected by the error information to obtain the true temperature field of the battery at the current moment, thereby improving the detection accuracy of the temperature field data.
[0070] In some embodiments, based on the corrected temperature field data and historical temperature field data of the battery at the current moment, the temperature change rate of the battery at the current moment is determined; the historical temperature field data is the corrected temperature field data corresponding to the historical moment before the current moment; based on the temperature change rate of the battery at the current moment, it is determined whether the battery is currently abnormal.
[0071] In the technical solution of the embodiment of the present application, the temperature change rate at the current moment is determined by the corrected temperature field data at the current moment and the historical temperature field data at the historical moments, and the current state of the battery can be accurately determined by the temperature change rate.
[0072] In some embodiments, in response to the temperature change rate of the battery at the current moment exceeding the warning value, it is determined that the battery is in an abnormal state at the current moment; the charging device is controlled to stop charging the battery and issue an alarm.
[0073] In some embodiments, in response to the temperature change rate of the battery at the current moment not exceeding the warning value, it is determined that the battery is in a normal state at the current moment; and the charging device is controlled to continue charging the battery.
[0074] In the technical solution of the embodiment of the present application, if the temperature change rate of the battery at the current moment exceeds the warning value, it indicates that the temperature change rate of the battery at the current moment is abnormal and there is a risk of fire. The charging equipment is controlled to stop charging the battery and alert the staff.
[0075] Please refer to FIG. 3 , which is a schematic diagram of a framework of an embodiment of a battery detection device provided in an embodiment of the present application.
[0076] This embodiment provides a battery detection device 60 , which includes an acquisition module 61 , a correction module 62 , and an analysis module 63 .
[0077] The acquisition module 61 is used to acquire the attribute information of the battery and the temperature field data of the battery at the current moment.
[0078] The correction module 62 is used to correct the temperature field data based on the property information of the battery to obtain corrected temperature field data.
[0079] The analysis module 63 is used to determine whether an abnormality currently occurs in the battery based on the corrected temperature field data.
[0080] In the technical solution of the embodiment of the present application, the temperature field data of the battery at the current moment is corrected by obtaining the battery's attribute information, thereby reducing the impact of the battery's attribute information on the accuracy of the temperature field data, improving the accuracy of the battery's temperature field data, and thereby improving the accuracy of the battery's abnormal state detection.
[0081] Please refer to Figure 4, which is a schematic diagram of the framework of an embodiment of a terminal provided in an embodiment of the present application. Terminal 80 includes a memory 81 and a processor 82 coupled to each other. Processor 82 is configured to execute program instructions stored in memory 81 to implement the steps of any of the above-described battery detection method embodiments. In a specific implementation scenario, terminal 80 may include, but is not limited to, a microcomputer and a server. In addition, terminal 80 may also include mobile devices such as laptops and tablet computers, which are not limited here.
[0082] Specifically, the processor 82 is used to control itself and the memory 81 to implement the steps of any of the above-mentioned battery detection method embodiments. The processor 82 can also be called a CPU (Central Processing Unit). The processor 82 may be an integrated circuit chip with signal processing capabilities. The processor 82 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. In addition, the processor 82 can be implemented by an integrated circuit chip.
[0083] Please refer to Figure 5, which is a schematic diagram of a computer-readable storage medium according to an embodiment of the present application. The computer-readable storage medium 90 stores program instructions 901 that can be executed by a processor. The program instructions 901 are used to implement the steps of any of the above battery detection method embodiments.
[0084] In some embodiments, the functions or modules included in the device provided by the embodiments of the present disclosure can be used to execute the method described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments. For the sake of brevity, it will not be repeated here.
[0085] The above description of the various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced with each other and will not be repeated herein for the sake of brevity.
[0086] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device implementation methods described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.
[0087] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.
[0088] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.
[0089] The above is only an implementation method of the present application and does not limit the scope of patent protection of the present application. Any equivalent structure or equivalent process transformation made using the contents of the description and drawings of this application, or directly or indirectly applied in other related technical fields, are also included in the scope of patent protection of the present application.
Claims
1. A battery detection method, wherein, The battery detection method comprises: Obtaining battery attribute information and temperature field data of the battery at the current moment; Correcting the temperature field data based on the property information of the battery to obtain corrected temperature field data; Based on the corrected temperature field data, it is determined whether an abnormality currently occurs in the battery.
2. The battery detection method according to claim 1, wherein, The attribute information includes at least one of a model, an ambient temperature, and a scanning distance.
3. The battery detection method according to claim 2, wherein: Before the step of obtaining the battery attribute information and the temperature field data of the battery at the current moment, the method further includes: A correspondence between a plurality of preset attribute information and preset error values is pre-established.
4. The battery detection method according to claim 3, wherein: The pre-establishing of a correspondence between a plurality of preset attribute information and preset error values includes: Acquiring an initial temperature field of a battery sample, wherein the battery sample is associated with preset attribute information and the battery sample is associated with a real temperature field; The preset error value corresponding to the preset attribute information of the battery sample is determined based on a difference between the initial temperature field corresponding to the battery sample and the actual temperature field.
5. The battery detection method according to claim 3, wherein: The correcting the temperature field data based on the property information of the battery to obtain corrected temperature field data includes: comparing the attribute information of the battery with the preset attribute information, and determining the preset error value corresponding to the preset attribute information that matches the attribute information of the battery as the error information of the battery; Corrected temperature field data of the battery is determined based on the error information of the battery and the temperature field data of the battery.
6. The battery testing method according to any one of claims 1 to 5, wherein: The determining whether the battery is currently abnormal based on the corrected temperature field data includes: Determining the temperature change rate of the battery at the current moment based on the corrected temperature field data of the battery at the current moment and the historical temperature field data; the historical temperature field data is the corrected temperature field data corresponding to the historical moment before the current moment; Based on the temperature change rate of the battery at the current moment, it is determined whether the battery is currently abnormal.
7. The battery detection method according to claim 6, wherein: The determining whether the battery is currently abnormal based on the temperature change rate of the battery at the current moment includes: In response to a temperature change rate of the battery at the current moment exceeding a warning value, determining that the battery is in an abnormal state at the current moment; The charging device is controlled to stop charging the battery and issue an alarm.
8. A battery detection device, wherein, The battery detection device comprises: An acquisition module, used to acquire attribute information of the battery and temperature field data of the battery at the current moment; a correction module, configured to correct the temperature field data based on the property information of the battery to obtain corrected temperature field data; An analysis module is used to determine whether an abnormality currently occurs in the battery based on the corrected temperature field data.
9. A terminal, wherein, The terminal includes a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor is configured to execute program data to implement the steps in the battery detection method according to any one of claims 1 to 7.
10. A computer-readable storage medium, wherein, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps in the battery detection method according to any one of claims 1 to 7 are implemented.
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