Battery insulation failure detection method and device, terminal and storage medium

Abstract

The invention provides a battery insulation failure detection method and device, a terminal and a storage medium, and the method comprises the steps: obtaining the electrochemical data of a to-be-detected battery in a preset time period under the condition that the to-be-detected battery has an insulation abnormality, and obtaining an electrochemical data sequence; analyzing the electrochemical data sequence of the to-be-detected battery to obtain an insulation failure pattern of the to-be-detected battery; determining a detection result of the to-be-detected battery based on the insulation failure map of the to-be-detected battery; the detection result of the to-be-detected battery comprises a failure factor attribute. According to the method, the insulation failure detection result of the battery is determined by analyzing the insulation failure graph of the battery, and the reason of the insulation failure of the battery can be detected without disassembling the battery, so that the troubleshooting efficiency is improved, and the identification of the failure root factor characteristic attribute of poor insulation of the battery can be realized; the cause of poor battery insulation can be analyzed according to the attribute of the failure factor, and the analysis difficulty is reduced.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a battery insulation failure detection method, device, terminal and computer-readable storage medium. Background Art

[0002] Due to the advantages of high energy density, rechargeable, safe and environmentally friendly, secondary batteries represented by lithium batteries are gradually applied to energy storage power systems, electric vehicles, military equipment, aerospace and other fields, bringing great convenience to people's daily production and life. During operation, these batteries are prone to insulation failure due to damage to the insulation layer and other reasons. The characteristic attributes of the root failure factors of poor battery insulation are complex and diverse. At present, it is impossible to effectively identify the characteristic attributes of the root failure factors, which makes the analysis of poor battery insulation more difficult. Summary of the invention

[0003] The main technical problem solved by the present invention is to provide a battery insulation failure detection method, device, terminal and computer-readable storage medium, which can identify the characteristic attributes of the fundamental failure factors of poor battery insulation without disassembling the battery, facilitate the analysis of the causes of poor battery insulation according to the attributes of the insulation failure factor, and reduce the difficulty of analysis.

[0004] In a first aspect, the present application provides a battery insulation failure detection method, comprising: When the battery to be tested has insulation abnormality, electrochemical data of the battery to be tested within a preset period of time is obtained to obtain an electrochemical data sequence; Analyze the electrochemical data sequence of the battery to be tested to obtain an insulation failure map of the battery to be tested; the insulation failure map is constructed according to at least one insulation failure type; the insulation failure type includes single-point insulation failure or multi-point insulation failure; Based on the insulation failure spectrum of the battery to be tested, the test result of the battery to be tested is determined; the test result of the battery to be tested includes a failure factor attribute; the failure factor attribute includes a conductive liquid or a conductive solid.

[0005] In the technical solution of the embodiment of the present application, when an insulation abnormality occurs in a battery, an insulation failure map generated by a single-point insulation failure type and / or a multi-point insulation failure type is obtained by analyzing the electrochemical data sequence of the battery within a preset time period, and the insulation failure detection result of the battery is determined by analyzing the insulation failure map of the battery. The cause of the battery insulation failure can be detected without disassembling the battery, which not only improves the troubleshooting efficiency but also realizes the identification of the characteristic attributes of the fundamental failure factor of poor battery insulation, facilitates the analysis of the cause of the poor battery insulation according to the attributes of the failure factor, and reduces the difficulty of analysis.

[0006] In some embodiments, the electrochemical data sequence includes a plurality of voltage data collected continuously within a preset period of time; Analyze the electrochemical data sequence of the battery to be tested to obtain the insulation failure spectrum of the battery to be tested, including: A neural network model is used to identify multiple voltage data corresponding to the battery to be tested, and at least one insulation failure type corresponding to the battery to be tested in a preset time period is determined; Based on the insulation failure types corresponding to the battery to be detected in the preset time period, an insulation failure map of the battery to be detected is generated.

[0007] In the technical solution of the embodiment of the present application, a neural network model is used to identify multiple voltage data of the battery to obtain the insulation failure type of the battery in a preset time period, and then an insulation failure map is generated based on the insulation failure type identified in the preset time period, thereby improving the generation accuracy of the insulation failure map.

[0008] In some embodiments, the voltage data includes a battery voltage, a first voltage, and a second voltage; the first voltage is a voltage value between a positive electrode of the battery and a battery housing; the second voltage is a voltage value between a negative electrode of the battery and a battery housing; Identifying multiple voltage data corresponding to the battery to be detected and determining at least one insulation failure type corresponding to the battery to be detected in a preset time period, including: taking the sum of the first voltage and the second voltage as a total voltage; At least one insulation failure type corresponding to the battery to be detected in the preset time period is determined based on the duration during which the battery voltage and / or the total voltage meets the preset identification condition.

[0009] In the technical solution of the embodiment of the present application, the battery voltage, the first voltage and the second voltage are combined to automatically analyze and determine the type of insulation failure occurring in each sub-period in the preset time period, thereby improving the accuracy of identifying the insulation failure type.

[0010] In some embodiments, determining the test result of the battery to be tested based on the insulation failure map of the battery to be tested includes: In response to the insulation failure map containing multiple insulation failures, it is determined that the failure factor attribute of the battery to be tested is conductive liquid.

[0011] In the technical solution of the embodiment of the present application, when the insulation failure map contains multiple-point insulation failures, due to the fluidity of the liquid, the liquid will cause two or more battery cells in the battery to have poor insulation failures, thereby determining that the failure factor attribute of the battery to be tested is a conductive liquid, thereby improving the recognition accuracy of the failure factor attribute that causes battery insulation failure.

[0012] In some embodiments, determining the test result of the battery to be tested based on the insulation failure map of the battery to be tested includes: In response to the insulation failure map containing a single-point insulation failure, it is determined that the failure factor attribute corresponding to the battery to be tested is a conductive solid or a conductive liquid.

[0013] In the technical solution of the embodiment of the present application, when the insulation failure map includes a single-point insulation failure, since solids have fixed positions and constrained liquids have fixed positions, both conductive liquids and conductive solids will cause poor insulation failures in single battery cells, thereby determining that the failure factor attribute of the battery to be tested is a conductive liquid or a conductive solid, thereby improving the recognition accuracy of the failure factor attributes that cause battery insulation failure.

[0014] In some embodiments, in response to the insulation failure map of the battery to be tested containing a single-point insulation failure, determining that the failure factor attribute corresponding to the battery to be tested is a conductive solid or a conductive liquid includes: In response to the insulation failure map containing a single-point insulation failure, detecting whether the box of the battery to be tested is intact; In response to the box of the battery to be tested being in good condition, determining that the failure factor attribute corresponding to the battery to be tested is a conductive solid or a conductive liquid; In response to the case of the battery to be detected being in a damaged state, it is determined that the failure factor attribute corresponding to the battery to be detected is a conductive solid.

[0015] In the technical solution of the embodiment of the present application, when the insulation failure map includes a single-point insulation failure, the integrity of the battery case is detected. Since the failure factor with the attribute of a conductive solid will damage the battery case, when the battery case is in a damaged state, the failure factor attribute of the battery is determined to be a conductive solid; when the battery case is in an intact state, the failure factor attribute of the battery is determined to be a conductive liquid, thereby improving the recognition accuracy of the failure factor attribute that causes the battery insulation failure.

[0016] In some embodiments, the test result of the battery to be tested further includes a failure stability index; the insulation failure type further includes no insulation failure; Based on the insulation failure spectrum of the battery to be tested, the test result of the battery to be tested is determined, including: In response to the insulation failure map including no insulation failure, determining the failure stability index of the battery to be tested to be a first stable value; In response to the insulation failure map only including single-point insulation failure and / or multi-point insulation failure, the failure stability index of the battery to be tested is determined to be a second stable value.

[0017] In the technical solution of the embodiment of the present application, by detecting that the insulation failure spectrum contains no insulation failure and single-point insulation failure and / or multi-point insulation failure, it is indicated that the battery is switching between a state of no insulation failure and a state of insulation failure, indicating that the insulation failure factor is in a failure unstable state, which facilitates the analysis of the cause of poor battery insulation based on the property stability of the failure factor without disassembling the battery, thereby reducing the difficulty of analysis.

[0018] In a second aspect, the present application provides a battery insulation failure detection device, comprising: An acquisition module, used for acquiring electrochemical data of the battery to be detected within a preset period of time to obtain an electrochemical data sequence when an insulation abnormality occurs in the battery to be detected; An analysis module is used to analyze the electrochemical data sequence of the battery to be tested to obtain an insulation failure spectrum of the battery to be tested; the insulation failure spectrum is constructed according to at least one insulation failure type; the insulation failure type includes single-point insulation failure or multi-point insulation failure; The detection module is used to determine the detection result of the battery to be detected based on the insulation failure map of the battery to be detected; the detection result of the battery to be detected includes a failure factor attribute; the failure factor attribute includes a conductive liquid or a conductive solid.

[0019] In a third aspect, the present application provides an electronic terminal, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor is used to execute program data to implement the steps in the battery insulation failure detection method provided in the first aspect.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the battery insulation failure detection method provided in the first aspect are implemented.

[0021] 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.

[0022] 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

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 It is a flow chart of an embodiment of a battery insulation failure detection method provided by the present application; Figure 2 yes Figure 1 A flowchart of a specific embodiment of step S2 in a battery insulation failure detection method is provided; Figure 3 is the insulation failure map generated in the first embodiment provided by the present application; Figure 4 is the insulation failure map generated in the second embodiment provided by the present application; Figure 5 is the insulation failure map generated in the third embodiment provided in the present application; Figure 6 is the insulation failure map generated in the fourth embodiment provided by the present application; Figure 7 is the insulation failure map generated in the fifth embodiment provided by the present application; Figure 8 is the insulation failure map generated in the sixth embodiment provided by the present application; Fig. 9 It is a flowchart of a specific embodiment of a battery insulation failure detection method provided by the present application; Fig.10 is a flow chart of another specific embodiment of the battery insulation failure detection method provided by the present application; Fig.11 It is a flowchart of another specific embodiment of the battery insulation failure detection method provided by the present application; Fig.12 It is a schematic diagram of the framework of an embodiment of a battery insulation failure detection device provided by the present application; Fig.13 It is a schematic diagram of the framework of an embodiment of an electronic terminal provided by the present application; Fig.14 It is a schematic diagram of a framework of an embodiment of a computer-readable storage medium provided by the present application. DETAILED DESCRIPTION

[0025] The following embodiments of the technical solution of the present application are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field 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" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0027] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0028] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0029] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0030] 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).

[0031] 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. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, which 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 referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the embodiments of the present application.

[0032] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0033] At present, judging from the development of the market situation, the application of batteries is becoming more and more extensive. They are not only used in energy storage systems such as hydropower, thermal power, wind power and solar power stations, but also widely used in electric vehicles such as electric bicycles, electric motorcycles, electric cars, as well as military equipment and aerospace and other fields. With the continuous expansion of battery application areas, the market demand is also constantly expanding.

[0034] In actual scenarios, batteries are generally built in layers. For example, multiple battery cells can be built into a battery module by connecting them in series and / or in parallel, and multiple battery modules can be built into a battery pack by connecting them in series and / or in parallel. The battery pack can be used as a driving power source for vehicles such as electric vehicles. Multiple battery packs can also be built into an energy storage unit (such as an energy storage cabinet or box) by connecting them in series and / or in parallel, and then used in energy storage systems.

[0035] In the same layer, the battery cells (which can be single cells, single battery modules, etc.) connected in series and / or in parallel often need to be isolated by insulating materials, and the positive and negative electrodes of a single battery cell are also insulated. However, in actual use, the battery insulation often fails due to leakage, foreign matter, etc., seriously affecting the safety of battery use.

[0036] After in-depth research, it was found that when the insulation of the battery fails, the battery cell corresponding to the insulation failure position will be grounded through the battery shell, changing the voltage characteristics between the battery cells. Therefore, it is possible to consider testing and analyzing the voltage characteristics between the battery cells to determine the specific circumstances of the insulation failure of the battery within a preset period of time, and to identify the attributes of the insulation failure factor that causes poor battery insulation based on the specific circumstances of the insulation failure within the preset period of time, thereby eliminating the need to disassemble the battery.

[0037] Based on the above considerations, the present application provides a battery insulation failure detection method, comprising: when an insulation abnormality occurs in a battery to be detected, obtaining electrochemical data of the battery to be detected within a preset time period to obtain an electrochemical data sequence; analyzing the electrochemical data sequence of the battery to be detected to obtain an insulation failure map of the battery to be detected; the insulation failure map is constructed according to at least one insulation failure type; the insulation failure type includes single-point insulation failure or multi-point insulation failure; based on the insulation failure map of the battery to be detected, determining the detection result of the battery to be detected; the detection result of the battery to be detected includes failure factor attributes; the failure factor attributes include conductive liquids or conductive solids.

[0038] Through the above scheme, when an insulation abnormality occurs in a battery, an insulation failure map generated by a single-point insulation failure type and / or a multi-point insulation failure type can be obtained by analyzing the voltage data of the battery within a preset time period. The failure factor attributes of the battery are determined by analyzing the insulation failure map of the battery. The failure factor attributes can be identified without disassembling the battery, which not only improves the troubleshooting efficiency but also can identify the characteristic attributes of the fundamental failure factors of poor battery insulation, making it easier to analyze the causes of poor battery insulation according to the attributes of the failure factors and reducing the difficulty of analysis.

[0039] The battery insulation failure analysis method of the embodiment of the present application is applied to any battery as long as it is formed by connecting multiple battery cells in series. Specifically, it can be applied at the battery pack level, and correspondingly, the battery cell can be a single battery module or a single battery cell. It can also be applied at the battery module level, and correspondingly, the battery cell can be a single battery cell.

[0040] The battery of this embodiment can be a power battery used as a power source in vehicles such as electric vehicles, or it can be an energy storage unit used for energy storage in energy storage scenarios, such as an electrical cabinet, an electrical box, etc. There is no specific limitation and the selection can be made based on actual needs.

[0041] In the solution of this embodiment, the battery should include at least two battery cells connected in series, and the types of the battery cells connected in series can be the same or different, and there is no specific limitation. For example, in one embodiment, taking the battery pack level as an example, the battery cells connected in series can all be single cells; they can also include single cells or a structure formed by multiple single cells connected in parallel.

[0042] In order to facilitate understanding of the technical solution of the present application, the battery in the following embodiments can be understood as a power battery in an electric vehicle, which includes a plurality of battery cells connected in series, that is, the battery unit is a single battery cell.

[0043] It can be understood that the battery insulation failure detection method provided in the embodiment of the present application can be applied to electronic devices, which include terminals and servers; wherein the terminal can specifically be a smart phone, a tablet computer, a computer, a personal digital assistant (PDA), etc.; the server can specifically be an application server or a Web server.

[0044] To facilitate understanding of the technical solution provided in the embodiment of the present application, the application scenario of the battery insulation failure detection method provided in the embodiment of the present application is introduced below by taking an electronic device as an example of the execution subject.

[0045] See also Figure 1 , Figure 1 It is a flow chart of an embodiment of a battery insulation failure detection method provided in the present application.

[0046] This embodiment provides a battery insulation failure detection method, which specifically includes the following implementation steps.

[0047] S1: When an insulation abnormality occurs in a battery to be tested, electrochemical data of the battery to be tested within a preset period of time is obtained to obtain an electrochemical data sequence.

[0048] S2: Analyze the electrochemical data sequence of the battery to be tested to obtain an insulation failure map of the battery to be tested; the insulation failure map is constructed according to at least one insulation failure type; the insulation failure type includes single-point insulation failure or multi-point insulation failure.

[0049] S3: Based on the insulation failure spectrum of the battery to be tested, determining the test result of the battery to be tested; the test result of the battery to be tested includes a failure factor attribute; the failure factor attribute includes a conductive liquid or a conductive solid.

[0050] In the technical solution of the embodiment of the present application, when an insulation abnormality occurs in a battery, an insulation failure map generated by a single-point insulation failure type and / or a multi-point insulation failure type is obtained by analyzing the voltage data of the battery within a preset time period, and the insulation failure detection result of the battery is determined by analyzing the insulation failure map of the battery. The cause of the battery insulation failure can be detected without disassembling the battery, which not only improves the troubleshooting efficiency but also realizes the identification of the characteristic attributes of the fundamental failure factor of poor battery insulation, facilitates the analysis of the cause of the poor battery insulation according to the attributes of the failure factor, and reduces the difficulty of analysis.

[0051] In this embodiment, the battery to be tested includes a plurality of battery cells, each of which has a corresponding battery housing, and the battery housings of the plurality of battery cells are insulated from each other and are encapsulated by a housing. The battery housing and the housing are both made of conductive materials, and the material of the battery housing can be different from or the same as that of the housing, which is not limited here. For example, the conductive material can be aluminum, etc.

[0052] Specifically, the specific implementation of obtaining the electrochemical data of the battery to be tested within a preset time period to obtain the electrochemical data sequence in step S1 is as follows.

[0053] Specifically, insulation abnormality refers to abnormal insulation performance of the battery, that is, insulation withstand voltage failure occurs. It should be noted that in actual scenarios, whether the battery has insulation abnormality can be monitored in real time, and the specific detection method is not unique and is not limited here.

[0054] In some embodiments, the insulation impedance of the battery may be monitored in real time, and when an insulation impedance abnormality is detected, it is considered that an insulation abnormality occurs in the battery.

[0055] In some embodiments, insulation abnormality monitoring may also be performed by means of high voltage DC withstand voltage testing or infrared imaging detection.

[0056] Among them, the electrochemical data sequence includes multiple voltage data collected continuously within a preset time period. The voltage data includes battery voltage, a first voltage and a second voltage; the first voltage is the voltage value between the positive electrode of the battery and the battery shell (excluding the sign); the second voltage is the voltage value between the negative electrode of the battery and the battery shell (excluding the sign). The battery voltage is the sum of the voltages of each battery cell connected in series in the battery. The positive electrode of the battery is the total positive electrode of the battery to be tested; the negative electrode of the battery is the total negative electrode of the battery to be tested. Among them, the preset time period can be set according to actual conditions, for example, the duration of the preset time period is 500s, 600s, 800s, 1000s, etc.

[0057] The method for obtaining the first voltage and the second voltage is not unique. In one embodiment, a voltage detector can be set between the total positive electrode of the battery to be tested and the battery shell, and between the total negative electrode of the battery to be tested and the battery shell, and the voltage detector can be used to detect and obtain the voltage.

[0058] In some embodiments, whether the battery has insulation abnormality can be determined through insulation withstand voltage monitoring of the battery management system, and the battery voltage, the first voltage and the second voltage can also be collected and obtained through the battery management system.

[0059] It is understandable that the execution subject of the battery insulation failure detection method is not unique. In some embodiments, it can be executed by the battery management system configured corresponding to the battery. In other embodiments, it can also be implemented by other devices with data processing functions, which will vary depending on the battery usage scenario. For example, in the electric vehicle scenario, the battery insulation failure detection method can be executed by the vehicle controller, and in the energy storage scenario, the battery insulation failure detection method can be executed by the local energy management control system, etc., without specific limitation.

[0060] In order to facilitate understanding of the technical solution of the present application, the following embodiments can all be understood as the battery insulation failure detection method being executed by a battery management system.

[0061] Specifically, in step S2, the electrochemical data sequence of the battery to be tested is analyzed to obtain the insulation failure map of the battery to be tested. The specific implementation method is as follows.

[0062] See also Figure 2 , Figure 2 yes Figure 1 A flowchart of a specific embodiment of step S2 in a battery insulation failure detection method is provided.

[0063] The insulation failure map is constructed according to at least one insulation failure type. The insulation failure types include single-point insulation failure and multi-point insulation failure. Single-point insulation failure means that in the same battery, one of the multiple battery cells connected in series has an insulation withstand voltage failure; multi-point insulation failure means that in the same battery, two or more of the multiple battery cells connected in series have an insulation withstand voltage failure.

[0064] S21: Using a neural network model to identify multiple voltage data corresponding to the battery to be tested, and determining at least one insulation failure type corresponding to the battery to be tested in a preset time period.

[0065] Specifically, the sum of the first voltage and the second voltage is taken as the total voltage; based on the duration that the battery voltage and / or the total voltage meets the preset identification condition, at least one insulation failure type corresponding to the battery to be detected in the preset time period is determined.

[0066] In one embodiment, when it is determined that the preset identification condition is met based on the total voltage, the total positive electrode to shell voltage, and the total negative electrode to shell voltage, the timing starts with a preset duration. When the preset identification condition is maintained to be met within the preset duration, it is determined that the battery has a first mode insulation failure. When it is determined that the preset identification condition is not met, or the preset identification condition is not maintained to be met within the preset duration, it is determined that the battery has a second mode insulation failure. The insulation failure types of the first mode insulation failure and the second mode insulation failure are different, and the insulation failure types include single-point insulation failure and multi-point insulation failure. The preset identification condition is also a preset conditional relationship that needs to be satisfied between the battery voltage, the first voltage, and the second voltage when the battery has a first mode insulation failure.

[0067] It should be pointed out that the type of first mode insulation failure will be different depending on the preset identification conditions. In actual scenarios, if the first mode insulation failure represents a single-point insulation failure, then the second mode insulation failure will represent a multi-point insulation failure; and if the first mode insulation failure represents a multi-point insulation failure, then the second mode insulation failure will represent a single-point insulation failure.

[0068] In the technical solution of the embodiment of the present application, the battery voltage, the first voltage and the second voltage are combined to automatically analyze and determine the type of insulation failure occurring in each sub-period in the preset time period, thereby improving the accuracy of identifying the insulation failure type.

[0069] Through the above implementation, at least one insulation failure type corresponding to the battery to be detected in the preset time period can be determined.

[0070] In a specific embodiment, the insulation failure types corresponding to the battery to be detected in the preset time period only include single-point insulation failure and / or multi-point insulation failure.

[0071] In a specific embodiment, the corresponding insulation failure types of the battery to be detected in the preset time period include no insulation failure and single-point insulation failure and / or multi-point insulation failure.

[0072] S22: generating an insulation failure map of the battery to be detected based on the insulation failure type corresponding to the battery to be detected in a preset time period.

[0073] Specifically, an insulation failure map of the battery to be tested is generated according to the insulation failure types that occur in each sub-period of the battery to be tested in the preset period. Among them, a single-point insulation failure in the insulation failure type is assigned a value of 1; a no insulation failure in the insulation failure type is assigned a value of 0; and a multi-point insulation failure in the insulation failure type is assigned a value of -1. No insulation failure refers to the result that the insulation failure factor does not overlap with the box.

[0074] See also Figures 3 to 8 , Figure 3is the insulation failure map generated in the first embodiment provided by the present application; Figure 4 is the insulation failure map generated in the second embodiment provided by the present application; Figure 5 is the insulation failure map generated in the third embodiment provided in the present application; Figure 6 is the insulation failure map generated in the fourth embodiment provided by the present application; Figure 7 is the insulation failure map generated in the fifth embodiment provided by the present application; Figure 8 It is an insulation failure map generated in the sixth embodiment provided by the present application.

[0075] In one embodiment, the insulation failure type corresponding to the battery to be detected in the preset time period only includes single-point insulation failure, and an insulation failure map of the battery to be detected is generated based on the single-point insulation failure of the battery to be detected in the preset time period, such as Figure 3 shown.

[0076] In one embodiment, the insulation failure type corresponding to the battery to be detected in the preset time period only includes multi-point insulation failure, and an insulation failure map of the battery to be detected is generated based on the multi-point insulation failure of the battery to be detected in the preset time period, such as Figure 4 shown.

[0077] In one embodiment, the insulation failure types corresponding to the battery to be detected in the preset time period include single-point insulation failure and multi-point insulation failure in sequence, and an insulation failure map of the battery to be detected is generated based on the single-point insulation failure and multi-point insulation failure corresponding to the battery to be detected in the preset time period, such as Figure 5 shown.

[0078] In one embodiment, the insulation failure types corresponding to the battery to be detected in the preset time period include single-point insulation failure and no insulation failure in sequence, and an insulation failure map of the battery to be detected is generated based on the single-point insulation failure and no insulation failure corresponding to the battery to be detected in the preset time period, such as Figure 6 shown.

[0079] In one embodiment, the insulation failure types corresponding to the battery to be detected in the preset time period include multi-point insulation failure and no insulation failure in sequence, and an insulation failure map of the battery to be detected is generated based on the multi-point insulation failure and no insulation failure corresponding to the battery to be detected in the preset time period, such as Figure 7 shown.

[0080] In one embodiment, the insulation failure types corresponding to the battery to be detected in the preset time period include single-point insulation failure, no insulation failure and multi-point insulation failure in sequence, and an insulation failure map of the battery to be detected is generated based on the single-point insulation failure, no insulation failure and multi-point insulation failure corresponding to the battery to be detected in the preset time period, such as Figure 8 shown.

[0081] In the technical solution of the embodiment of the present application, a neural network model is used to identify multiple voltage data of the battery to obtain the insulation failure type of the battery in a preset time period, and then an insulation failure map is generated based on the insulation failure type identified in the preset time period, thereby improving the generation accuracy of the insulation failure map.

[0082] Specifically, the specific implementation method of determining the test result of the battery to be tested based on the insulation failure spectrum of the battery to be tested in step S3 is as follows.

[0083] See also Figures 9 to 11 , Fig. 9 It is a flowchart of a specific embodiment of a battery insulation failure detection method provided by the present application; Fig.10 is a flow chart of another specific embodiment of the battery insulation failure detection method provided by the present application; Fig.11 It is a flow chart of another specific embodiment of the battery insulation failure detection method provided in the present application.

[0084] In one embodiment, when the battery case is electrically connected to the battery shell of the battery cell in the battery, it is determined that the battery insulation fails. In a specific embodiment, the battery case and the battery shell of the battery cell can be electrically connected through a factor of conductive solid properties or a factor of conductive liquid properties. Among them, the factor of conductive solid properties can be a metal foreign body; the factor of conductive liquid properties can be an electrolyte. The factor of conductive solid properties can realize the electrical connection between the battery case and the battery shell of any battery cell in the battery, that is, causing a single-point insulation failure of the battery. Since the factor of conductive liquid properties has fluidity, the factor of conductive liquid properties can be scattered between the battery case and multiple battery cells. When the factor of conductive liquid properties is bound and will not be scattered, the bound factor of conductive liquid properties will cause a single-point insulation failure of the battery. The factor of unbound conductive liquid properties can realize the electrical connection between the battery case and the battery shell of multiple battery cells in the battery, that is, causing a multi-point insulation failure of the battery. No insulation failure means that the battery case and the battery shell of any battery cell in the battery are in an insulation state.

[0085] In one embodiment, if Fig. 9 In response to the insulation failure map containing multiple insulation failures, it is determined that the failure factor attribute of the battery to be tested is conductive liquid.

[0086] In the technical solution of the embodiment of the present application, when the insulation failure map contains multiple-point insulation failures, due to the fluidity of the liquid, the liquid will cause two or more battery cells in the battery to have poor insulation failures, thereby determining that the failure factor attribute of the battery to be tested is a conductive liquid, thereby improving the recognition accuracy of the failure factor attribute that causes battery insulation failure.

[0087] In one embodiment, if Fig.10 In response to the insulation failure map containing a single-point insulation failure, it is determined that the failure factor attribute corresponding to the battery to be tested is a conductive solid or a conductive liquid.

[0088] In the technical solution of the embodiment of the present application, when the insulation failure map includes a single-point insulation failure, since solids have fixed positions and constrained liquids have fixed positions, both conductive liquids and conductive solids will cause poor insulation failures in single battery cells, thereby determining that the failure factor attribute of the battery to be tested is a conductive liquid or a conductive solid, thereby improving the recognition accuracy of the failure factor attributes that cause battery insulation failure.

[0089] In a specific embodiment, in response to the insulation failure map containing a single-point insulation failure, whether the box of the battery to be tested is intact is detected. Specifically, whether the sealant of the box of the battery to be tested is intact is detected. The insulation between the battery shells in the battery to be tested is achieved by the sealant.

[0090] In response to the case of the battery to be tested being in good condition, the failure factor attribute corresponding to the battery to be tested is determined to be a conductive solid or a conductive liquid. That is, if the sealant of the case of the battery to be tested remains intact, it is determined that the insulation between the battery shells of the battery cells in the battery to be tested is good, and the factor of the conductive liquid attribute is restrained, and the failure factor attribute of the battery to be tested is determined to be a conductive liquid. When the case of the battery to be tested is in good condition, there may be metal foreign matter between the case of the battery to be tested and the battery shell that does not damage the case of the battery, and the influencing factor attribute corresponding to the battery to be tested is determined to be a conductive solid.

[0091] In response to the case of the battery to be detected being in a damaged state, it is determined that the failure factor attribute corresponding to the battery to be detected is a conductive solid.

[0092] In the technical solution of the embodiment of the present application, when the insulation failure map includes a single-point insulation failure, the integrity of the battery case is detected. Since the failure factor with the attribute of a conductive solid will damage the battery case, when the battery case is in a damaged state, the failure factor attribute of the battery is determined to be a conductive solid; when the battery case is in an intact state, the failure factor attribute of the battery is determined to be a conductive liquid, thereby improving the recognition accuracy of the failure factor attribute that causes the battery insulation failure.

[0093] In one embodiment, the test result of the battery to be tested also includes a failure stability index. Fig.11In response to the insulation failure spectrum including no insulation failure, the failure stability index of the battery to be detected is determined to be a first stable value. The first stable value indicates that the insulation failure of the battery to be detected is in an unstable state, that is, the battery to be detected switches between an insulation failure state and a no insulation failure state.

[0094] In one embodiment, in response to the insulation failure map only including single-point insulation failure and / or multi-point insulation failure, the failure stability index of the battery to be tested is determined to be a second stable value, wherein the second stable value indicates that the insulation failure of the battery to be tested is in a stable state.

[0095] In a specific embodiment, when a vehicle loaded with a battery to be tested is in motion, the vibration of the vehicle may cause the failure factor of the conductive solid property to be in an unstable state. For example, the conductive solid property factor is electrically connected between the box of the battery to be tested and the battery shell during a certain period of time, that is, the battery to be tested is in a single-point insulation failure state; in an adjacent period of time, the box of the battery to be tested and the battery shell are in an insulation state, that is, the battery to be tested is in a non-insulation failure state.

[0096] In a specific embodiment, when there is water vapor between the box of the battery to be tested and the battery shells of multiple battery cells, the box of the battery to be tested and the battery shells of multiple battery cells are electrically connected through the failure factor of the conductive liquid property, so that the battery to be tested is in a multi-point insulation failure state. When the water vapor between the box of the battery to be tested and the battery shells of multiple battery cells evaporates completely, the box of the battery to be tested and the battery shells of multiple battery cells are in an insulation state, so that the battery to be tested is in a non-insulation failure state.

[0097] In the technical solution of the embodiment of the present application, by detecting that the insulation failure spectrum contains no insulation failure and single-point insulation failure and / or multi-point insulation failure, it is indicated that the battery is switching between a state of no insulation failure and a state of insulation failure, indicating that the insulation failure factor is in a failure unstable state, which facilitates the analysis of the cause of poor battery insulation based on the property stability of the failure factor without disassembling the battery, thereby reducing the difficulty of analysis.

[0098] The battery insulation failure detection method provided by the above embodiment detects and analyzes the electrochemical data of the battery to be detected in an abnormal insulation state within a preset time period, and determines the properties of the insulation failure factor and the insulation failure stability index that cause the battery to be detected to be in an abnormal insulation state, so as to analyze and process the abnormal insulation state of the battery to be detected according to the properties of the insulation failure factor and the insulation failure stability index.

[0099] See also Fig.12 , Fig.12 It is a schematic diagram of the framework of an embodiment of a battery insulation failure detection device provided in the present application.

[0100] This embodiment provides a battery insulation failure detection device 60 . The battery insulation failure detection device 60 includes an acquisition module 61 , an analysis module 62 , and a detection module 63 .

[0101] The acquisition module 61 is used to acquire the electrochemical data of the battery to be detected within a preset period of time to obtain an electrochemical data sequence when an insulation abnormality occurs in the battery to be detected. The electrochemical data sequence includes a plurality of voltage data collected continuously within a preset period of time; the voltage data includes the battery voltage, the first voltage and the second voltage; the first voltage is the voltage value between the positive electrode of the battery and the battery shell; the second voltage is the voltage value between the negative electrode of the battery and the battery shell.

[0102] The analysis module 62 is used to analyze the electrochemical data sequence of the battery to be tested to obtain an insulation failure spectrum of the battery to be tested; the insulation failure spectrum is constructed according to at least one insulation failure type; the insulation failure type includes single-point insulation failure or multi-point insulation failure.

[0103] The detection module 63 is used to determine the detection result of the battery to be detected based on the insulation failure map of the battery to be detected; the detection result of the battery to be detected includes a failure factor attribute; the failure factor attribute includes a conductive liquid or a conductive solid.

[0104] In one embodiment, the analysis module 62 is used to use a neural network model to identify multiple voltage data corresponding to the battery to be detected, determine at least one insulation failure type corresponding to the battery to be detected in a preset time period; and generate an insulation failure map of the battery to be detected based on the insulation failure type corresponding to the battery to be detected in the preset time period.

[0105] In one embodiment, the analysis module 62 is used to take the sum of the first voltage and the second voltage as the total voltage; based on the duration that the battery voltage and / or the total voltage meets the preset identification condition, determine at least one insulation failure type corresponding to the battery to be detected in the preset time period.

[0106] In one embodiment, the detection module 63 is further configured to determine that the failure factor attribute of the battery to be detected is conductive liquid in response to the insulation failure map containing multiple insulation failures.

[0107] In one embodiment, the detection module 63 is further configured to determine that the failure factor attribute corresponding to the battery to be detected is a conductive solid or a conductive liquid in response to the insulation failure map containing a single-point insulation failure.

[0108] In one embodiment, the detection module 63 is further used to detect whether the case of the battery to be detected is intact in response to the insulation failure map containing a single-point insulation failure; in response to the case of the battery to be detected being in an intact state, determine that the failure factor attribute corresponding to the battery to be detected is a conductive solid or a conductive liquid; in response to the case of the battery to be detected being in a damaged state, determine that the failure factor attribute corresponding to the battery to be detected is a conductive solid.

[0109] In one embodiment, the test result of the battery to be tested further includes a failure stability index; and the insulation failure type further includes no insulation failure.

[0110] The detection module 63 is also used to determine that the failure stability index of the battery to be detected is a first stable value in response to the insulation failure map containing no insulation failure; and to determine that the failure stability index of the battery to be detected is a second stable value in response to the insulation failure map containing only single-point insulation failure and / or multi-point insulation failure.

[0111] In the technical solution of the embodiment of the present application, when an insulation abnormality occurs in a battery, an insulation failure map generated by a single-point insulation failure type and / or a multi-point insulation failure type is obtained by analyzing the voltage data of the battery within a preset time period, and the insulation failure detection result of the battery is determined by analyzing the insulation failure map of the battery. The cause of the battery insulation failure can be detected without disassembling the battery, which not only improves the troubleshooting efficiency but also realizes the identification of the characteristic attributes of the fundamental failure factor of poor battery insulation, facilitates the analysis of the cause of the poor battery insulation according to the attributes of the failure factor, and reduces the difficulty of analysis.

[0112] See also Fig.13 , Fig.13 80 is a schematic diagram of a framework of an embodiment of an electronic terminal provided by the present application. The electronic terminal 80 includes a memory 81 and a processor 82 coupled to each other, and the processor 82 is used to execute program instructions stored in the memory 81 to implement the steps of any of the above-mentioned battery insulation failure detection method embodiments. In a specific implementation scenario, the electronic terminal 80 may include but is not limited to: a microcomputer, a server, and in addition, the electronic terminal 80 may also include a mobile device such as a laptop computer and a tablet computer, which is not limited here.

[0113] Specifically, the processor 82 is used to control itself and the memory 81 to implement the steps of any of the above-mentioned battery insulation failure 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 (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field-programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates 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.

[0114] See also Fig.14 , Fig.14 The computer-readable storage medium 90 stores program instructions 901 that can be executed by a processor, and the program instructions 901 are used to implement the steps of any of the above-mentioned battery insulation failure detection method embodiments.

[0115] 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, and for the sake of brevity, it will not be repeated here.

[0116] The above description of various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced to each other, and for the sake of brevity, they will not be repeated herein.

[0117] In the several embodiments provided in the present application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device implementation described above is 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, such as 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.

[0118] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0119] 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 is essentially 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. The computer software product is stored in a storage medium, including several instructions to enable 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 implementation method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

[0120] The above are only implementation modes of the present invention, and are not intended to limit the patent protection scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A battery insulation failure detection method, characterized in that: include: When the battery to be tested has insulation abnormality, obtaining electrochemical data of the battery to be tested within a preset period of time to obtain an electrochemical data sequence; Analyze the electrochemical data sequence of the battery to be tested to obtain an insulation failure map of the battery to be tested; the insulation failure map is constructed according to at least one insulation failure type; the insulation failure type includes single-point insulation failure or multi-point insulation failure; Based on the insulation failure spectrum of the battery to be detected, the detection result of the battery to be detected is determined; the detection result of the battery to be detected includes a failure factor attribute; the failure factor attribute includes a conductive liquid or a conductive solid.

2. The battery insulation failure detection method according to claim 1, characterized in that: The step of determining the test result of the battery to be tested based on the insulation failure map of the battery to be tested includes: In response to the insulation failure map containing the multi-point insulation failure, it is determined that the failure factor attribute corresponding to the battery to be tested is conductive liquid.

3. The battery insulation failure detection method according to claim 1, characterized in that: The step of determining the test result of the battery to be tested based on the insulation failure map of the battery to be tested includes: In response to the single-point insulation failure being included in the insulation failure map, it is determined that the failure factor attribute corresponding to the battery to be tested is a conductive solid or a conductive liquid.

4. The battery insulation failure detection method according to claim 3, characterized in that: In response to the insulation failure map of the battery to be detected containing the single-point insulation failure, determining that the failure factor attribute corresponding to the battery to be detected is a conductive solid or a conductive liquid includes: In response to the single-point insulation failure being included in the insulation failure map, detecting whether the box of the battery to be tested is intact; In response to the box of the battery to be tested being in good condition, determining that the failure factor attribute corresponding to the battery to be tested is a conductive solid or a conductive liquid; In response to the case of the battery to be detected being in a damaged state, it is determined that the failure factor attribute corresponding to the battery to be detected is a conductive solid.

5. The battery insulation failure detection method according to any one of claims 2 to 4, characterized in that: The test result of the battery to be tested also includes a failure stability index; The insulation failure type also includes no insulation failure; The step of determining the test result of the battery to be tested based on the insulation failure map of the battery to be tested includes: In response to the insulation failure map including the no insulation failure, determining the failure stability index of the battery to be tested to be a first stable value; In response to the insulation failure map only including the single-point insulation failure and / or the multi-point insulation failure, the failure stability index of the battery to be detected is determined to be a second stable value.

6. The battery insulation failure detection method according to claim 1, characterized in that: The electrochemical data sequence includes a plurality of voltage data collected continuously within a preset time period; The step of analyzing the electrochemical data sequence of the battery to be tested to obtain an insulation failure spectrum of the battery to be tested includes: Using a neural network model to identify the plurality of voltage data corresponding to the battery to be detected, and determining at least one insulation failure type corresponding to the battery to be detected in a preset time period; Based on the insulation failure type corresponding to the battery to be detected in a preset time period, an insulation failure map of the battery to be detected is generated.

7. The battery insulation failure detection method according to claim 6, characterized in that: The voltage data includes a battery voltage, a first voltage, and a second voltage; the first voltage is a voltage value between a positive electrode of a battery and a battery housing; the second voltage is a voltage value between a negative electrode of a battery and the battery housing; The identifying the plurality of voltage data corresponding to the battery to be detected and determining at least one insulation failure type corresponding to the battery to be detected in a preset time period includes: taking the sum of the first voltage and the second voltage as a total voltage; At least one insulation failure type corresponding to the battery to be detected in a preset time period is determined based on the duration during which the battery voltage and / or the total voltage meets a preset identification condition.

8. A battery insulation failure detection device, characterized in that: include: An acquisition module, used for acquiring electrochemical data of the battery to be detected within a preset period of time to obtain an electrochemical data sequence when an insulation abnormality occurs in the battery to be detected; An analysis module, used for analyzing the electrochemical data sequence of the battery to be tested to obtain an insulation failure spectrum of the battery to be tested; the insulation failure spectrum is constructed according to at least one insulation failure type; the insulation failure type includes single-point insulation failure or multi-point insulation failure; A detection module is used to determine a detection result of the battery to be detected based on the insulation failure spectrum of the battery to be detected; the detection result of the battery to be detected includes a failure factor attribute; the failure factor attribute includes a conductive liquid or a conductive solid.

9. An electronic terminal, characterized in that: The electronic terminal includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor is used to execute program data to implement the steps in the battery insulation failure detection method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the battery insulation failure detection method according to any one of claims 1 to 7 are implemented.

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