Battery pack air tightness detection method and device

Abstract

The invention relates to a battery pack air tightness detection method and a battery pack air tightness detection device. The method comprises the following steps: acquiring internal and external air pressure information of a battery pack of the new energy vehicle in a first time period, and / or an internal insulation value of the battery pack of the new energy vehicle; and according to the internal and external air pressure information of the battery pack of the new energy vehicle in the first time period and / or the in-pack insulation value of the battery pack of the new energy vehicle, whether the air tightness failure risk exists in the battery pack of the new energy vehicle or not is detected. By implementing the embodiment of the invention, the safety risk of the battery can be identified before safety faults such as short circuit are not caused by air tightness failure of the battery pack in the use process of the new energy vehicle, so that early warning and advanced response processing can be conveniently performed on the possible air tightness leakage problem, and further insulation or short circuit failure is avoided.

Description

Technical Field

[0001] The present disclosure relates to the field of power batteries, and in particular to a battery pack air tightness detection method and device. Background Art

[0002] The power battery system is the energy source of new energy vehicles and is also the core concern of the safety industry. The occurrence of safety problems in new energy vehicles not only brings negative public opinion and economic losses to enterprises, but also causes life and property safety to users. Power battery failure may cause safety problems, among which battery pack airtightness failure is one of the power battery failures. The quality of battery pack sealing directly affects the safety of the entire vehicle. Summary of the invention

[0003] The present disclosure provides a battery pack air tightness detection method and device.

[0004] According to a first aspect of an embodiment of the present disclosure, a method for detecting air tightness of a battery pack is provided, comprising:

[0005] Acquire internal and external air pressure information of a battery pack of a new energy vehicle within a first time period, and / or an internal insulation value of a battery pack of the new energy vehicle;

[0006] Based on the internal and external air pressure information of the battery pack of the new energy vehicle in the first time period, and / or the internal insulation value of the battery pack of the new energy vehicle, it is detected whether the battery pack of the new energy vehicle has the risk of airtightness failure.

[0007] In combination with some embodiments of the first aspect, in some embodiments, the number of the new energy vehicles is multiple, the areas where the multiple new energy vehicles are located belong to the same divided area, and the multiple new energy vehicles are vehicles of the same model.

[0008] In combination with some embodiments of the first aspect, in some embodiments, obtaining internal and external air pressure information of a battery pack of a new energy vehicle within a first time period includes: obtaining internal and external air pressure information of battery packs of multiple new energy vehicles within the first time period.

[0009] In combination with some embodiments of the first aspect, in some embodiments, based on the internal and external air pressure information of the battery pack of the new energy vehicle within a first time period, it is detected whether the battery pack of the new energy vehicle has a risk of airtightness failure, including: based on the internal and external air pressure information of the battery packs of multiple new energy vehicles within the first time period, determining whether there is a new energy vehicle that is an outlier among the multiple new energy vehicles; wherein the battery pack of the new energy vehicle that is an outlier has a risk of airtightness failure.

[0010] In combination with some embodiments of the first aspect, in some embodiments, the internal and external air pressure information of the battery pack includes the internal air pressure information of the battery pack and the corresponding external atmospheric pressure information; based on the internal and external air pressure information of the battery packs of multiple new energy vehicles within a first time period, determining the new energy vehicles that are outliers among the multiple new energy vehicles, including: based on the internal and external air pressure information of the battery packs of multiple new energy vehicles within the first time period, determining the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period; based on the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period, determining the rate of change of the internal and external air pressure difference of the battery pack of each new energy vehicle; based on the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period, and the rate of change of the internal and external air pressure difference of the battery pack of each new energy vehicle, using an outlier detection algorithm to determine whether there is a new energy vehicle that is an outlier among the multiple new energy vehicles.

[0011] In combination with some embodiments of the first aspect, in some embodiments, based on the internal insulation value of the battery pack of the new energy vehicle, detecting whether the battery pack of the new energy vehicle has a risk of airtightness failure includes: determining that the internal insulation value of the battery pack of the new energy vehicle exceeds a normal value range; analyzing the correlation between the internal insulation value of the battery pack of the new energy vehicle and weather information; and determining that the battery pack of the new energy vehicle has a risk of airtightness failure in response to a strong correlation between the internal insulation value of the battery pack of the new energy vehicle and weather information.

[0012] In combination with some embodiments of the first aspect, in some embodiments, based on the internal and external air pressure information of the battery pack of the new energy vehicle within a first time period and the internal insulation value of the battery pack of the new energy vehicle, it is detected whether the battery pack of the new energy vehicle has a risk of airtightness failure, including: when it is determined that the new energy vehicle is an outlier new energy vehicle based on the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period, it is determined that the battery pack of the new energy vehicle has a risk of airtightness failure; and / or, when it is determined that there is a strong correlation between the internal insulation value of the battery pack of the new energy vehicle and weather information based on the internal insulation value of the battery pack of the new energy vehicle, it is determined that the battery pack of the new energy vehicle has a risk of airtightness failure.

[0013] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: in response to the risk of airtightness failure of the battery pack of the new energy vehicle, issuing an early warning to the new energy vehicle with the risk of airtightness failure of the battery pack.

[0014] According to a second aspect of an embodiment of the present disclosure, there is provided a battery pack airtightness detection device, comprising:

[0015] An acquisition module, used to acquire internal and external air pressure information of a battery pack of a new energy vehicle within a first time period, and / or an internal insulation value of the battery pack of the new energy vehicle;

[0016] The detection module is used to detect whether the battery pack of the new energy vehicle has the risk of airtightness failure based on the internal and external air pressure information of the battery pack of the new energy vehicle within a first time period, and / or the insulation value inside the battery pack of the new energy vehicle.

[0017] In combination with some embodiments of the second aspect, in some embodiments, the number of the new energy vehicles is multiple, the areas where the multiple new energy vehicles are located belong to the same divided area, and the multiple new energy vehicles are vehicles of the same model.

[0018] In combination with some embodiments of the second aspect, in some embodiments, the acquisition module is specifically used to: acquire internal and external air pressure information of battery packs of multiple new energy vehicles within a first time period.

[0019] In combination with some embodiments of the second aspect, in some embodiments, the detection module is specifically used to: determine whether there are new energy vehicles that are outliers among the multiple new energy vehicles based on the internal and external air pressure information of the battery packs of the multiple new energy vehicles within a first time period; wherein the battery packs of the new energy vehicles that are outliers have a risk of airtightness failure.

[0020] In combination with some embodiments of the second aspect, in some embodiments, the internal and external air pressure information of the battery pack includes the internal air pressure information of the battery pack and the corresponding external atmospheric pressure information; the detection module is specifically used to: determine the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period based on the internal and external air pressure information of the battery packs of multiple new energy vehicles within the first time period; determine the rate of change of the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period based on the internal and external air pressure difference of the battery pack of each new energy vehicle; based on the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period, and the rate of change of the internal and external air pressure difference of the battery pack of each new energy vehicle, use an outlier detection algorithm to determine whether there is a new energy vehicle that is an outlier among the multiple new energy vehicles.

[0021] In combination with some embodiments of the second aspect, in some embodiments, the detection module is specifically used to: determine that the insulation value inside the battery pack of a new energy vehicle exceeds the normal value range; analyze the correlation between the insulation value inside the battery pack of the new energy vehicle and weather information; in response to the strong correlation between the insulation value inside the battery pack of the new energy vehicle and the weather information, determine that the battery pack of the new energy vehicle is at risk of airtightness failure.

[0022] In combination with some embodiments of the second aspect, in some embodiments, the detection module is specifically used for: when it is determined that the new energy vehicle is an outlier new energy vehicle based on the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period, determining that the battery pack of the new energy vehicle is at risk of airtightness failure; and / or, when it is determined that there is a strong correlation between the internal insulation value of the battery pack of the new energy vehicle and weather information based on the internal insulation value of the battery pack of the new energy vehicle, determining that the battery pack of the new energy vehicle is at risk of airtightness failure.

[0023] In combination with some embodiments of the second aspect, in some embodiments, the device also includes: an early warning module; the early warning module is used to respond to the risk of airtightness failure of the battery pack of the new energy vehicle, and to issue an early warning to the new energy vehicle with the risk of airtightness failure of the battery pack.

[0024] According to a third aspect of an embodiment of the present disclosure, there is provided an electronic device, including:

[0025] processor;

[0026] A memory for storing processor-executable instructions; wherein the instructions are executed by the processor to enable the processor to execute the method of the first aspect described above.

[0027] According to a fourth aspect of an embodiment of the present disclosure, a readable storage medium is provided. When instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method of the aforementioned first aspect.

[0028] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, including a computer program, which implements the method of the first aspect when executed by a processor of an electronic device.

[0029] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:

[0030] The battery pack can be detected for airtight failure risks based on the internal and external air pressure information and / or the insulation value of the battery pack over a period of time. This can identify battery safety risks before the airtight failure of the battery pack causes a short circuit or other safety failure during the use of new energy vehicles, and facilitate early warning of possible airtight leakage problems, early response and processing, and avoid further insulation or short circuit failures. In addition, by collecting signals through the cloud, it is not dependent on detection equipment, which improves the timeliness of the warning.

[0031] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0033] Figure 1 The figure is a flow chart of a method for detecting air tightness of a battery pack according to an exemplary embodiment.

[0034] Figure 2 The figure is a flow chart of a method for detecting air tightness of a battery pack according to an exemplary embodiment.

[0035] Figure 3 The figure is a flow chart of a method for detecting air tightness of a battery pack according to an exemplary embodiment.

[0036] Figure 4 The figure is a flow chart of a method for detecting air tightness of a battery pack according to an exemplary embodiment.

[0037] Figure 5 It is a flow chart of a method for detecting air tightness of a battery pack according to an exemplary embodiment.

[0038] Figure 6 The figure is a block diagram of a battery pack air tightness detection device according to an exemplary embodiment.

[0039] Figure 7 The figure is a block diagram of a battery pack air tightness detection device according to an exemplary embodiment.

[0040] Figure 8 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0041] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0042] It should be noted that, in the description of the present disclosure, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in this article is merely a way to describe the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0043] The terms used in the disclosed embodiments are only for the purpose of describing specific embodiments, and are not intended to limit the disclosed embodiments. The singular forms "a", "an" and "the" used in the disclosed embodiments and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0044] It should be understood that although the terms first, second, third, etc. may be used to describe various information in the disclosed embodiments, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the disclosed embodiments, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at" or "when" or "in response to determination".

[0045] Figure 1 It is a flow chart of a battery pack air tightness detection method according to an exemplary embodiment. It should be noted that the battery pack air tightness detection method involved in the embodiment of the present disclosure can be used in electronic devices. Optionally, the method involved in the embodiment of the present disclosure can be applied to: charging scenarios and driving scenarios after new energy vehicles leave the factory and during the use of new energy vehicles.

[0046] like Figure 1 As shown, the method may include but is not limited to the following steps.

[0047] In step 101, the internal and external air pressure information of a battery pack of a new energy vehicle within a first time period and / or the internal insulation value of the battery pack of the new energy vehicle are obtained.

[0048] Exemplarily, the battery pack is, for example, a power battery pack.

[0049] In some embodiments, the new energy transportation tool can be a new energy vehicle, such as a new energy car, or a new energy bicycle, a new energy drone, etc., or other new energy travel tools, and this disclosure does not limit this.

[0050] In some embodiments, the number of the new energy vehicles may be multiple. Exemplarily, the areas where the multiple new energy vehicles are located belong to the same divided area, and the multiple new energy vehicles are vehicles of the same model.

[0051] In some embodiments, the internal and external air pressure information of the battery pack may include the internal air pressure information of the battery pack and the corresponding external atmospheric pressure information. As an example, the internal air pressure information of the battery pack may refer to the internal air pressure value of the battery pack, and the external atmospheric pressure information may refer to the external atmospheric pressure value.

[0052] Exemplarily, the new energy vehicle is provided with an air pressure detection device, which can detect the air pressure information inside the battery pack of the new energy vehicle. Therefore, the air pressure information inside the battery pack of the new energy vehicle can be obtained by acquiring the detection data of the air pressure detection device.

[0053] Exemplarily, the above-mentioned external atmospheric pressure information may be obtained by detecting an air pressure detection device on a new energy vehicle, or may be obtained from a meteorological website via the Internet, and the present disclosure does not limit this.

[0054] Exemplarily, the new energy vehicle is provided with an insulation value detection device, which can detect the insulation value inside the battery pack on the new energy vehicle. Therefore, the insulation value inside the battery pack of the new energy vehicle can be obtained by acquiring the detection data of the insulation value detection device.

[0055] In step 102, based on the internal and external air pressure information of the battery pack of the new energy vehicle in the first time period, and / or the insulation value inside the battery pack of the new energy vehicle, it is detected whether the battery pack of the new energy vehicle has the risk of airtightness failure.

[0056] In this embodiment, the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period can be obtained, and whether the battery pack of the new energy vehicle has the risk of airtightness failure can be detected based on the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period.

[0057] In one possible implementation, it can be determined whether the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period is within a normal value range. If it is not within the normal value range, it can be determined that the battery pack of the new energy vehicle is at risk of airtightness failure.

[0058] In another possible implementation, the internal and external air pressure information of the battery packs of other new energy vehicles in the first time period can be obtained, and based on the internal and external air pressure information of the battery packs of the new energy vehicle and other new energy vehicles in the first time period, it is detected whether the new energy vehicle is an outlier. If the new energy vehicle is detected as an outlier, it is determined that the battery pack of the new energy vehicle has a risk of airtight failure. Among them, the outlier new energy vehicle can be understood as the battery pack of the outlier new energy vehicle is different from the battery packs of other new energy vehicles. For example, the outlier new energy vehicle can be a new energy vehicle that is detected as an outlier from multiple new energy vehicles using an outlier detection algorithm, and the battery pack of the outlier new energy vehicle has a risk of airtight failure.

[0059] Exemplarily, the internal and external air pressure information of the battery pack of new energy vehicle A in the past week is obtained, and based on the internal and external air pressure information of the battery pack of new energy vehicle A in the past week, and the internal and external air pressure information of the battery packs of other new energy vehicles (such as new energy vehicles B, C and D), it is determined that the new energy vehicle A is a new energy vehicle belonging to the outlier, and then it is determined that the battery pack of the new energy vehicle A has a risk of airtightness failure. Among them, the new energy vehicle A and the new energy vehicles B, C and D are vehicles of the same model, and the area where the new energy vehicle A and the new energy vehicles B, C and D are located belongs to the same division area, such as the same administrative area.

[0060] In this embodiment, the internal insulation value of the battery pack of the new energy vehicle can be obtained, and based on the internal insulation value of the battery pack of the new energy vehicle, it is detected whether the battery pack of the new energy vehicle has a risk of airtight failure. In one possible implementation, it can be determined whether the internal insulation value of the battery pack of the new energy vehicle is less than or equal to the abnormal threshold. If the internal insulation value of the battery pack of the new energy vehicle is less than or equal to the abnormal threshold, it is determined that the battery pack of the new energy vehicle has a risk of airtight failure. Optionally, if the internal insulation value of the battery pack of the new energy vehicle is less than or equal to the abnormal threshold, the correlation between the internal insulation value of the battery pack and the weather information can be further analyzed. If there is a strong correlation between the internal insulation value of the battery pack and the weather information, it can be determined that the battery pack of the new energy vehicle has a risk of airtight failure.

[0061] In this embodiment, the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period can be obtained, and the internal insulation value of the battery pack of the new energy vehicle can be obtained; based on the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period and the internal insulation value of the battery pack of the new energy vehicle, it is detected whether the battery pack of the new energy vehicle has the risk of airtightness failure.

[0062] In one possible implementation, when it is determined that the new energy vehicle is an outlier based on the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period, it is determined that the battery pack of the new energy vehicle is at risk of airtightness failure; or, when it is determined that there is a strong correlation between the internal insulation value of the battery pack of the new energy vehicle and weather information based on the internal insulation value of the battery pack of the new energy vehicle, it is determined that the battery pack of the new energy vehicle is at risk of airtightness failure.

[0063] In another possible implementation, when determining that the new energy vehicle is an outlier based on the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period, it is possible to further determine whether there is a strong correlation between the internal insulation value of the battery pack of the new energy vehicle and the weather information based on the internal insulation value of the battery pack of the new energy vehicle. If there is a strong correlation between the internal insulation value of the battery pack of the new energy vehicle and the weather information, it can be determined that the battery pack of the new energy vehicle is at risk of airtightness failure.

[0064] In some embodiments, in response to the risk of airtight failure of the battery pack of a new energy vehicle, an early warning is issued to the new energy vehicle with the risk of airtight failure of the battery pack. Exemplarily, when it is determined that the battery pack of a new energy vehicle has the risk of airtight failure, an early warning message may be sent to the new energy vehicle, so that the user of the new energy vehicle can learn from the early warning message that the battery pack of the new energy vehicle has the risk of airtight failure. Exemplarily, when it is determined that the battery pack of a new energy vehicle has the risk of airtight failure, an early warning message may be sent to a pre-bound terminal, so that the holder of the terminal can learn from the early warning message that the battery pack of the corresponding new energy vehicle has the risk of airtight failure. Alternatively, an early warning may be issued in other ways, which is not limited in this disclosure and will not be elaborated.

[0065] By implementing the embodiments of the present disclosure, it is possible to detect whether the battery pack has a risk of airtight failure based on the internal and external air pressure information of the battery pack and / or the insulation value of the battery pack within a period of time. This can identify battery safety risks before the airtight failure of the battery pack causes a short circuit or other safety failure during the use of new energy vehicles, thereby facilitating early warning of possible airtight leakage problems, responding in advance, and avoiding further insulation or short circuit failures. In addition, by collecting signals through the cloud, it is not dependent on detection equipment, which improves the timeliness of early warning.

[0066] Figure 2 It is a flow chart of a battery pack air tightness detection method according to an exemplary embodiment. It should be noted that the battery pack air tightness detection method involved in the embodiment of the present disclosure can be used in electronic devices. As an example, the electronic device can be a server (such as a cloud server), and the embodiment of the present disclosure can identify battery packs that may have airtightness failure risks in advance through the air pressure information inside and outside the battery pack collected by cloud big data. Optionally, the method involved in the embodiment of the present disclosure can be applied to: charging scenarios and driving scenarios after new energy vehicles leave the factory and during the use of new energy vehicles.

[0067] like Figure 2 As shown, the method may include but is not limited to the following steps.

[0068] In step 201, internal and external air pressure information of battery packs of a plurality of new energy vehicles within a first time period is obtained.

[0069] In some embodiments, the areas where multiple new energy vehicles are located belong to the same divided area, and the multiple new energy vehicles are vehicles of the same model. Exemplarily, the divided area can be divided according to administrative regions, or it can be divided according to other strategies, and this disclosure does not limit this. The areas where multiple new energy vehicles are located belong to the same divided area, which can be understood as: the environment (such as weather) of the areas where the multiple new energy vehicles are located is basically the same or similar.

[0070] In some embodiments, the internal and external air pressure information of the battery pack may include the internal air pressure information of the battery pack and the corresponding external atmospheric pressure information. As an example, the internal air pressure information of the battery pack may refer to the internal air pressure value of the battery pack, and the external atmospheric pressure information may refer to the external atmospheric pressure value.

[0071] Optionally, for each new energy vehicle, the internal and external air pressure information of the battery pack of the new energy vehicle in the first time period can be obtained. The optional implementation method of the internal and external air pressure information of the battery pack of the new energy vehicle in the first time period can refer to the relevant description of the above step 101, which will not be repeated here.

[0072] In step 202, based on the internal and external air pressure information of the battery packs of multiple new energy vehicles in the first time period, it is determined whether there is any new energy vehicle that is an outlier among the multiple new energy vehicles; wherein the battery packs of the new energy vehicles that are outliers have the risk of airtightness failure.

[0073] In some embodiments, based on the internal and external air pressure information of the battery packs of multiple new energy vehicles within the first time period, the difference and fluctuation data between the internal air pressure and the external air pressure of the battery pack of each new energy vehicle within the first time period can be determined, and based on the difference and fluctuation data between the internal air pressure and the external air pressure, it can be determined whether there is an outlier among the multiple new energy vehicles.

[0074] In one possible implementation, based on the internal and external air pressure information of the battery packs of multiple new energy vehicles within the first time period, the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period is determined; based on the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period, the rate of change of the internal and external air pressure difference of the battery pack of each new energy vehicle is determined; based on the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period and the rate of change of the internal and external air pressure difference of the battery pack of each new energy vehicle, an outlier detection algorithm is used to determine whether there is any new energy vehicle that is an outlier among the multiple new energy vehicles.

[0075] Exemplarily, the outlier detection algorithm can be based on the sample pre-optimized parameters. In a possible implementation, the algorithm can select any of the following: hierarchical clustering algorithm (Birch); K-means (K-Means) clustering algorithm; density-based clustering algorithm (DBSCAN); particle swarm algorithm. Normal battery packs and battery packs with airtight failure can be used as samples, and the difference between the air pressure inside the pack and the external air pressure and the fluctuation data (such as the rate of change of the air pressure difference inside and outside the pack) can be used as characteristic parameters. The characteristic parameters are normalized to construct the model of the outlier detection algorithm. The input of the outlier detection algorithm is the air pressure difference inside and outside the battery pack and the rate of change of the air pressure difference inside and outside the pack. The output of the outlier detection algorithm can be an abnormal probability (such as 0 or 1). Exemplarily, the parameters (such as hyperparameters) of the outlier detection algorithm can be given default initial values, and then the algorithm parameters can be automatically tuned according to the offline results of abnormal samples by adding a grid search.

[0076] It should be noted that outliers are determined based on the difference and fluctuation data between the air pressure inside the battery packs of multiple new energy vehicles and the external air pressure. Since multiple new energy vehicles belong to the same divided area, the difference and fluctuation data between the air pressure inside the battery packs of multiple new energy vehicles and the external air pressure should be relatively similar. If there are outliers, it can be considered that the battery pack of the new energy vehicle corresponding to the outlier is at risk of airtightness failure.

[0077] In some embodiments, when calculating outliers based on the difference and fluctuation data between the internal air pressure and the external air pressure of the battery pack of each new energy vehicle within the first time period, if there are no outliers, it can be considered that the battery packs of multiple new energy vehicles do not have the risk of airtightness failure.

[0078] In some embodiments, in response to the risk of airtight failure of the battery pack of a new energy vehicle, an early warning is issued to the new energy vehicle with the risk of airtight failure of the battery pack. Exemplarily, when it is determined that the battery pack of a new energy vehicle has the risk of airtight failure, an early warning message may be sent to the new energy vehicle, so that the user of the new energy vehicle can learn from the early warning message that the battery pack of the new energy vehicle has the risk of airtight failure. Exemplarily, when it is determined that the battery pack of a new energy vehicle has the risk of airtight failure, an early warning message may be sent to a pre-bound terminal, so that the holder of the terminal can learn from the early warning message that the battery pack of the corresponding new energy vehicle has the risk of airtight failure. Alternatively, an early warning may be issued in other ways, which is not limited in this disclosure and will not be elaborated.

[0079] In the above embodiment, before the airtightness failure of the battery pack during the use of new energy vehicles causes safety faults such as short circuits, the internal and external air pressure information of the battery packs of multiple new energy vehicles over a period of time is obtained, and the battery packs that may have the risk of airtightness failure are identified in advance based on the difference and fluctuation data between the internal air pressure and the external air pressure of these battery packs, so as to facilitate early warning and early response processing, and avoid further insulation or short circuit failures.

[0080] Figure 3 It is a flow chart of a battery pack air tightness detection method according to an exemplary embodiment. It should be noted that the battery pack air tightness detection method involved in the embodiment of the present disclosure can be used in electronic devices. As an example, the electronic device can be a server (such as a cloud server), and the embodiment of the present disclosure can identify battery packs that may have airtightness failure risks in advance through the insulation value of the battery pack collected by cloud big data. Optionally, the method involved in the embodiment of the present disclosure can be applied to: charging scenarios and driving scenarios after new energy vehicles leave the factory and during the use of new energy vehicles.

[0081] like Figure 3 As shown, the method may include but is not limited to the following steps.

[0082] In step 301 , the internal insulation value of a battery pack of a new energy vehicle is obtained.

[0083] In some embodiments, the new energy transportation tool can be a new energy vehicle, such as a new energy car, or a new energy bicycle, a new energy drone, etc., or other new energy travel tools, and this disclosure does not limit this.

[0084] Exemplarily, the new energy vehicle is provided with an insulation value detection device, which can detect the insulation value inside the battery pack on the new energy vehicle. Therefore, the insulation value inside the battery pack of the new energy vehicle can be obtained by acquiring the detection data of the insulation value detection device.

[0085] In step 302 , based on the internal insulation value of the battery pack of the new energy vehicle, it is detected whether the battery pack of the new energy vehicle has a risk of airtightness failure.

[0086] In some embodiments, the correlation between the insulation value inside the battery pack of the new energy vehicle and the weather information can be analyzed based on the insulation value inside the battery pack of the new energy vehicle in combination with the weather information, and based on the correlation analysis results, it is determined whether the battery pack of the new energy vehicle has a risk of airtight failure. Exemplarily, if there is a strong correlation between the insulation value inside the battery pack of the new energy vehicle and the weather information, it can be determined that the battery pack of the new energy vehicle has a risk of airtight failure. If there is no strong correlation between the insulation value inside the battery pack of the new energy vehicle and the weather information (or the correlation is less than a threshold), it can be determined that the battery pack of the new energy vehicle does not have a risk of airtight failure.

[0087] In one possible implementation, it is determined that the insulation value inside the battery pack of a new energy vehicle exceeds the normal value range; the correlation between the insulation value inside the battery pack of the new energy vehicle and the weather information is analyzed; in response to the strong correlation between the insulation value inside the battery pack of the new energy vehicle and the weather information, it is determined that the battery pack of the new energy vehicle has a risk of airtight failure. Among them, the normal value range can be determined according to the parameters of the actual new energy vehicle. Exemplarily, the above-mentioned weather information may include but is not limited to air humidity values, etc. The correlation between the insulation value inside the battery pack of the above-mentioned new energy vehicle and the weather information is a negative correlation. For example, if the insulation value inside the battery pack is larger, the correlation between the insulation value inside the pack and the weather information is smaller, and if the insulation value inside the battery pack is smaller, the correlation between the insulation value inside the pack and the weather information is greater.

[0088] Exemplarily, it can be determined whether the insulation value inside the battery pack of a new energy vehicle exceeds the normal value range. If the insulation value inside the battery pack of a new energy vehicle exceeds the normal value range, the correlation between the insulation value inside the battery pack of the new energy vehicle and the weather information can be analyzed. Among them, the correlation analysis method may include but is not limited to any of the following: random forest algorithm; Pearson correlation coefficient; principal component analysis method. If there is a strong correlation between the insulation value inside the battery pack of a new energy vehicle and the weather information, for example, the correlation coefficient between the insulation value inside the battery pack of a new energy vehicle and the weather information is greater than or equal to a certain threshold, it is considered that there is a strong correlation between the insulation value inside the battery pack of the new energy vehicle and the weather information, so that it can be determined that the battery pack of the new energy vehicle has a risk of airtight failure. If the correlation coefficient between the insulation value inside the battery pack of a new energy vehicle and the weather information is less than a certain threshold, it is considered that there is a weak correlation between the insulation value inside the battery pack of the new energy vehicle and the weather information, so that it can be determined that there is no risk of airtight failure in the battery pack of the new energy vehicle.

[0089] In some embodiments, the number of the new energy vehicle may be one. The electronic device obtains the insulation value of the battery pack of the new energy vehicle. The electronic device may detect whether the battery pack of the new energy vehicle has a risk of airtight failure based on the insulation value of the battery pack of the new energy vehicle. The optional implementation method can be found in the description of the above-mentioned related examples, which will not be repeated here.

[0090] In some embodiments, there may be multiple new energy vehicles, the areas where the multiple new energy vehicles are located belong to the same divided area, and the multiple new energy vehicles are vehicles of the same model. For each new energy vehicle, the electronic device obtains the insulation value of the battery pack of the new energy vehicle. The electronic device can detect whether the battery pack of the new energy vehicle has a risk of airtight failure based on the insulation value of the battery pack of the new energy vehicle. For optional implementation methods, please refer to the description of the above-mentioned related examples, which will not be repeated here.

[0091] In some embodiments, in response to the risk of airtight failure of the battery pack of a new energy vehicle, an early warning is issued to the new energy vehicle with the risk of airtight failure of the battery pack. Exemplarily, when it is determined that the battery pack of a new energy vehicle has the risk of airtight failure, an early warning message may be sent to the new energy vehicle, so that the user of the new energy vehicle can learn from the early warning message that the battery pack of the new energy vehicle has the risk of airtight failure. Exemplarily, when it is determined that the battery pack of a new energy vehicle has the risk of airtight failure, an early warning message may be sent to a pre-bound terminal, so that the holder of the terminal can learn from the early warning message that the battery pack of the corresponding new energy vehicle has the risk of airtight failure. Alternatively, an early warning may be issued in other ways, which is not limited in this disclosure and will not be elaborated.

[0092] In the above embodiment, before the airtightness failure of the battery pack during the use of the new energy vehicle causes a safety fault such as a short circuit, the internal insulation value of the battery pack of the new energy vehicle can be obtained, so as to facilitate the risk prediction of airtightness failure based on the correlation between the internal insulation value of the battery pack and the external weather information, thereby facilitating early warning of new energy vehicles that may have battery airtight leakage problems, and further facilitating early response processing to avoid further insulation or short circuit failures.

[0093] Figure 4 It is a flow chart of a battery pack air tightness detection method according to an exemplary embodiment. It should be noted that the battery pack air tightness detection method involved in the embodiment of the present disclosure can be used in electronic devices. As an example, the electronic device can be a server (such as a cloud server). Optionally, the method involved in the embodiment of the present disclosure can be applied to: charging scenarios and driving scenarios after new energy vehicles leave the factory and during the use of new energy vehicles.

[0094] like Figure 4 As shown, the method may include but is not limited to the following steps.

[0095] In step 401, the internal and external air pressure information of a battery pack of a new energy vehicle within a first time period is obtained.

[0096] In step 402, the internal insulation value of a battery pack of a new energy vehicle is obtained.

[0097] It should be noted that there is no need to distinguish the order in which step 401 and step 402 are performed. For example, step 401 may be performed first and then step 402, or step 402 may be performed first and then step 401, or step 401 and step 402 may be performed simultaneously.

[0098] In step 403, based on the internal and external air pressure information of the battery pack of the new energy vehicle and the insulation value of the battery pack of the new energy vehicle in the first time period, it is detected whether the battery pack of the new energy vehicle has the risk of airtightness failure.

[0099] In some embodiments, when it is determined that the new energy vehicle is an outlier new energy vehicle based on the internal and external air pressure information of the battery pack of the new energy vehicle in the first time period, it is determined that the battery pack of the new energy vehicle has a risk of airtight failure. Exemplarily, taking new energy vehicle A as an example, the internal and external air pressure information of the battery pack of new energy vehicle A in the past week can be obtained, and according to the internal and external air pressure information of the battery pack of new energy vehicle A in the past week, and the internal and external air pressure information of the battery packs of other new energy vehicles (such as new energy vehicles B, C and D) in the past week, it is determined that the new energy vehicle A is an outlier new energy vehicle, and it is determined that the battery pack of the new energy vehicle A has a risk of airtight failure. Among them, the new energy vehicle A and the new energy vehicles B, C and D are vehicles of the same model, and the area where the new energy vehicle A and the new energy vehicles B, C and D are located belongs to the same divided area, such as the same administrative area.

[0100] In some embodiments, when it is determined that there is a strong correlation between the insulation value of the battery pack of the new energy vehicle and the weather information based on the insulation value of the battery pack of the new energy vehicle, it is determined that the battery pack of the new energy vehicle has a risk of airtight failure. Exemplarily, taking new energy vehicle A as an example, it can be determined whether the insulation value of the battery pack of the new energy vehicle A exceeds the normal value range. If it exceeds the normal value range, the correlation between the insulation value of the battery pack of the new energy vehicle A and the weather information is analyzed. If there is a strong correlation between the insulation value of the battery pack and the weather information, it can be determined that there is a risk of airtight failure in the battery pack of the new energy vehicle A.

[0101] In some embodiments, when determining that a new energy vehicle is an outlier based on the internal and external air pressure information of the battery pack of the new energy vehicle in the first time period, it is possible to further determine whether there is a strong correlation between the internal insulation value of the battery pack of the new energy vehicle and the weather information based on the internal insulation value of the battery pack of the new energy vehicle. If there is a strong correlation between the internal insulation value of the battery pack of the new energy vehicle and the weather information, it can be determined that the battery pack of the new energy vehicle has a risk of airtight failure. This can further improve the detection results.

[0102] In some embodiments, in response to the risk of airtight failure of the battery pack of a new energy vehicle, an early warning is issued to the new energy vehicle with the risk of airtight failure of the battery pack. Exemplarily, when it is determined that the battery pack of a new energy vehicle has the risk of airtight failure, an early warning message may be sent to the new energy vehicle, so that the user of the new energy vehicle can learn from the early warning message that the battery pack of the new energy vehicle has the risk of airtight failure. Exemplarily, when it is determined that the battery pack of a new energy vehicle has the risk of airtight failure, an early warning message may be sent to a pre-bound terminal, so that the holder of the terminal can learn from the early warning message that the battery pack of the corresponding new energy vehicle has the risk of airtight failure. Alternatively, an early warning may be issued in other ways, which is not limited in this disclosure and will not be elaborated.

[0103] In the above embodiment, it is possible to identify battery safety risks before the airtightness failure of the battery pack during the use of new energy vehicles causes safety faults such as short circuits, thereby facilitating early warning of possible airtight leakage problems and responding in advance to avoid further insulation or short circuit failures.

[0104] In order to facilitate those skilled in the art to more clearly understand the technical solution of the present disclosure, Figure 5 The process 1 and process 2 shown are described accordingly. For example, the new energy transportation tool is a new energy vehicle.

[0105] like Figure 5 As shown, process one: the vehicle can be divided into data intervals according to the vehicle operation area and environment, and the cloud-based signal collection method is used to obtain the internal and external air pressure information of the battery packs of the vehicles in the area in the recent period of time from each divided area, including the air pressure information inside the battery pack in the recent period of time and the external atmospheric pressure information at the corresponding time. For each battery pack of the vehicle in the area, the difference between the air pressure information inside the pack and the external atmospheric pressure information is calculated, and the rate of change of the internal and external air pressure difference in the recent period of time is calculated. According to the internal and external air pressure difference and the rate of change of the internal and external air pressure difference of the battery packs of all vehicles in the area, the outlier detection algorithm is used to perform outlier detection. If there are outliers, it can be determined that the battery pack of the vehicle corresponding to the outlier has a risk of airtight failure, and the information of vehicles with abnormal airtight failure can be output. If there are no outliers, it can be determined that there are no abnormal battery packs in the vehicles in the area.

[0106] like Figure 5As shown, process two: the insulation value inside the vehicle battery pack can be obtained to determine whether the insulation value inside the pack exceeds the normal value range. If it does not exceed the normal value range, it can be determined that the battery pack of the vehicle is normal. If it exceeds the normal value range, weather information (such as the outside air humidity value) is obtained. The correlation between the insulation value inside the pack and the weather information is analyzed. When there is a strong correlation between the insulation value inside the pack and the weather information, it can be determined that the battery pack of the corresponding vehicle has the risk of airtight water ingress failure, that is, the battery pack of the vehicle has the risk of airtight failure. When there is no strong correlation between the insulation value inside the pack and the weather information, it can be determined that the battery pack of the vehicle may have other faults.

[0107] Optionally, a detection method based on the air pressure information inside and outside the battery pack can be used to detect whether the battery pack has a risk of airtight failure. A detection method based on the insulation value inside the battery pack can also be used to detect whether the battery pack has a risk of airtight failure. If the result of the detection method based on the air pressure information inside and outside the battery pack is abnormal, or the result of the detection method based on the insulation value inside the battery pack is abnormal, it can be determined that the battery pack has a risk of airtight failure and an early warning can be issued.

[0108] Optionally, a detection method based on the air pressure information inside and outside the battery pack can be used to detect whether the battery pack may have a risk of airtightness failure, and a detection method based on the insulation value inside the battery pack can be used to further verify whether the battery pack actually has a risk of airtightness failure, thereby improving the accuracy of the detection results.

[0109] Optionally, the technical solution of the disclosed embodiment can detect failure scenarios including but not limited to at least one of the following: shell damage, such as cracking of the sealing glue between the upper cover and the lower shell resulting in poor sealing; collision of the FDS (riveted joint) fixing the liquid cooling plate and the rivet nut fixing the bottom guard plate makes it easier for the seal outside the box to fail; failure of the sealing ring or the sealing gasket itself due to aging during operation; failure of the weld seal at the joint of the sealing surface and frame of the box during long-term use and vibration; failure of the seal of the box material and the connector mounting surface on the battery during long-term use and vibration; failure of the seal of other components

[0110] In summary, the disclosed embodiment can detect abnormal outliers through the outlier detection algorithm through the air pressure inside and outside the package and the fluctuation change rate, so that the battery safety risk can be identified before the airtightness failure of the battery pack causes a short circuit or other safety failure during the use of new energy vehicles, and the early warning detection rate is passed. In addition, the disclosed embodiment collects signals through the cloud and does not rely on detection equipment, which improves the timeliness of the early warning and reduces the cost of battery design. In addition, the disclosed embodiment evaluates the risk of sealing failure through the correlation between the insulation value inside the package and the external weather changes, adding a layer of barrier to the sealing failure early warning and improving the accuracy of the early warning.

[0111] Figure 6 FIG. 1 is a block diagram of a battery pack air tightness detection device according to an exemplary embodiment. Figure 6 , the device comprises: an acquisition module 601 and a detection module 602.

[0112] The acquisition module 601 is used to acquire the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period, and / or the internal insulation value of the battery pack of the new energy vehicle.

[0113] The detection module 602 is used to detect whether the battery pack of the new energy vehicle has a risk of airtightness failure based on the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period, and / or the insulation value inside the battery pack of the new energy vehicle.

[0114] In some embodiments, there are multiple new energy vehicles, the areas where the multiple new energy vehicles are located belong to the same divided area, and the multiple new energy vehicles are vehicles of the same model.

[0115] In a possible implementation, the acquisition module 601 is specifically used to: acquire the internal and external air pressure information of the battery packs of multiple new energy vehicles in the first time period. Optionally, the detection module 602 is specifically used to: determine whether there is an outlier among the multiple new energy vehicles based on the internal and external air pressure information of the battery packs of multiple new energy vehicles in the first time period; wherein the battery packs of the new energy vehicles that are outliers have the risk of airtightness failure.

[0116] In an optional implementation, the internal and external air pressure information of the battery pack includes the internal air pressure information of the battery pack and the corresponding external atmospheric pressure information; the detection module 602 is specifically used to: determine the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period based on the internal and external air pressure information of the battery packs of multiple new energy vehicles within the first time period; determine the rate of change of the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period based on the internal and external air pressure difference of the battery pack of each new energy vehicle; based on the internal and external air pressure difference of the battery pack of each new energy vehicle within the first time period, and the rate of change of the internal and external air pressure difference of the battery pack of each new energy vehicle, use an outlier detection algorithm to determine whether there is a new energy vehicle that is an outlier among the multiple new energy vehicles.

[0117] In some embodiments, the detection module 602 is specifically used to: determine that the insulation value inside the battery pack of a new energy vehicle exceeds the normal value range; analyze the correlation between the insulation value inside the battery pack of the new energy vehicle and weather information; in response to the strong correlation between the insulation value inside the battery pack of the new energy vehicle and weather information, determine that the battery pack of the new energy vehicle is at risk of airtightness failure.

[0118] In some embodiments, the detection module 602 is specifically used for: when it is determined that the new energy vehicle is an outlier new energy vehicle based on the internal and external air pressure information of the battery pack of the new energy vehicle within a first time period, determining that the battery pack of the new energy vehicle has a risk of airtightness failure; or, when it is determined that there is a strong correlation between the internal insulation value of the battery pack of the new energy vehicle and weather information based on the internal insulation value of the battery pack of the new energy vehicle, determining that the battery pack of the new energy vehicle has a risk of airtightness failure.

[0119] Optionally, in some embodiments, Figure 7 As shown, the device may further include an early warning module 703. The early warning module 703 is used to respond to the risk of airtight failure of the battery pack of the new energy vehicle and issue an early warning to the new energy vehicle with the risk of airtight failure of the battery pack. Figure 7 Medium 701-702 and Figure 6 middle Figure 6 601-602 have the same function and structure.

[0120] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0121] Figure 8800 is a block diagram of an electronic device 800 according to an exemplary embodiment. For example, the electronic device 800 may be provided as a server (such as a cloud server). Figure 8 , the electronic device 800 includes a processing component 822, which further includes one or more processors, and a memory resource represented by a memory 832 for storing instructions that can be executed by the processing component 822, such as an application. The application stored in the memory 832 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 822 is configured to execute instructions to perform the method of any of the above embodiments.

[0122] The electronic device 800 may also include a power supply component 826 configured to perform power management of the electronic device 800, a wired or wireless network interface 850 configured to connect the electronic device 800 to a network, and an input / output (I / O) interface 858. The electronic device 800 may operate based on an operating system stored in the memory 832, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™ or the like.

[0123] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 832 including instructions, and the above instructions can be executed by a processor of the electronic device 800 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0124] In an exemplary embodiment, a computer program product is also provided, including a computer program, and the computer program is executed by a processor of the electronic device 800 to complete the above method.

[0125] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in this disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0126] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A battery pack air tightness detection method, characterized in that: include: Acquiring information on internal and external air pressure of a battery pack of a new energy vehicle within a first time period, and / or an internal insulation value of the battery pack of the new energy vehicle; Based on the internal and external air pressure information of the battery pack of the new energy vehicle during the first time period, and / or the internal insulation value of the battery pack of the new energy vehicle, it is detected whether the battery pack of the new energy vehicle has the risk of airtightness failure.

2. The method according to claim 1, characterized in that There are multiple new energy vehicles, the areas where the multiple new energy vehicles are located belong to the same divided area, and the multiple new energy vehicles are vehicles of the same model.

3. The method according to claim 2, characterized in that The obtaining of the internal and external air pressure information of the battery pack of the new energy vehicle within the first time period includes: The internal and external air pressure information of the battery packs of the multiple new energy vehicles within the first time period is obtained.

4. The method according to claim 3, characterized in that Detecting whether there is a risk of airtightness failure of the battery pack of the new energy vehicle according to the internal and external air pressure information of the battery pack of the new energy vehicle during the first time period includes: Based on the internal and external air pressure information of the battery packs of the multiple new energy vehicles within the first time period, determine whether there is a new energy vehicle that is an outlier among the multiple new energy vehicles; wherein the battery pack of the new energy vehicle that is an outlier has a risk of airtightness failure.

5. The method according to claim 4, characterized in that The internal and external air pressure information of the battery pack includes the internal air pressure information of the battery pack and the corresponding external atmospheric pressure information; the step of determining the new energy vehicle that is an outlier among the multiple new energy vehicles according to the internal and external air pressure information of the battery packs of the multiple new energy vehicles in the first time period includes: Determine the difference between the internal and external air pressures of the battery packs of each of the new energy vehicles in the first time period according to the internal and external air pressure information of the battery packs of the multiple new energy vehicles in the first time period; Determining a change rate of the internal and external air pressure difference of the battery pack of each new energy vehicle according to the internal and external air pressure difference of the battery pack of each new energy vehicle in the first time period; Based on the difference in internal and external air pressure of the battery pack of each of the new energy vehicles during the first time period, and the rate of change of the difference in internal and external air pressure of the battery pack of each of the new energy vehicles, an outlier detection algorithm is used to determine whether there is an outlier new energy vehicle among the multiple new energy vehicles.

6. The method according to claim 1 or 2, characterized in that Detecting whether the battery pack of the new energy vehicle has a risk of airtightness failure according to the insulation value of the battery pack of the new energy vehicle, including: Determining that the insulation value inside the battery pack of the new energy vehicle exceeds a normal value range; Analyzing the correlation between the insulation value inside the battery pack of the new energy vehicle and weather information; In response to a strong correlation between an insulation value within a battery pack of the new energy vehicle and the weather information, it is determined that the battery pack of the new energy vehicle has a risk of airtightness failure.

7. The method of claim 1, wherein: Detecting whether the battery pack of the new energy vehicle has a risk of airtightness failure according to the internal and external air pressure information of the battery pack of the new energy vehicle during the first time period and the internal insulation value of the battery pack of the new energy vehicle, including: When it is determined that the new energy vehicle is an outlier new energy vehicle based on the internal and external air pressure information of the battery pack of the new energy vehicle during the first time period, it is determined that the battery pack of the new energy vehicle has a risk of airtightness failure; and / or, When it is determined that there is a strong correlation between the insulation value inside the battery pack of the new energy vehicle and weather information based on the insulation value inside the battery pack of the new energy vehicle, it is determined that there is a risk of airtightness failure in the battery pack of the new energy vehicle.

8. The method according to any one of claims 1 to 7, characterized in that The method also includes: In response to the risk of airtightness failure of the battery pack of the new energy vehicle, an early warning is issued to the new energy vehicle with the risk of airtightness failure of the battery pack.

9. A battery pack air tightness detection device, characterized in that: include: An acquisition module, used to acquire internal and external air pressure information of a battery pack of a new energy vehicle within a first time period, and / or an internal insulation value of the battery pack of the new energy vehicle; The detection module is used to detect whether the battery pack of the new energy vehicle has the risk of airtightness failure based on the internal and external air pressure information of the battery pack of the new energy vehicle during the first time period, and / or the insulation value inside the battery pack of the new energy vehicle.

10. An electronic device, characterized in that: include: processor; A memory for storing processor-executable instructions; wherein the instructions are executed by the processor to enable the processor to perform the method according to any one of claims 1 to 8.

11. A readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method as claimed in any one of claims 1 to 8.

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