Vehicle hibernation current monitoring method and device, vehicle and storage medium

Abstract

The application relates to a hibernation current monitoring method and device of a vehicle, the vehicle and a storage medium, wherein the method comprises the following steps: when the vehicle is in a hibernation state, collecting a current whole-vehicle static current value at a current time based on a built-in intelligent storage battery sensor of the vehicle; judging whether the current whole-vehicle static current value meets a preset abnormal wake-up condition, and generating a static current abnormal signal when the whole-vehicle static current value meets the preset abnormal wake-up condition; and based on the static current abnormal signal, waking up a gateway, so that after the gateway records the static current abnormal signal, the static current abnormal signal is uploaded to a preset server, and a hibernation current monitoring action is completed. Therefore, the technical problem that in the related art, when an abnormal current is monitored, multiple function devices of the vehicle are woken up, thereby intensifying power consumption and affecting normal use of the user is solved.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, device, vehicle, and storage medium for monitoring the dormant current of a vehicle. Background Technology

[0002] As vehicles become increasingly intelligent, a related technology could be developed to prevent battery drain caused by abnormal vehicle wake-up. This technology could include a dedicated abnormal current monitoring module to monitor abnormal currents and wake up the vehicle upon detection, thus uploading an abnormal signal. However, this could exacerbate battery drain and affect normal user experience, requiring further improvement. Summary of the Invention

[0003] This application provides a method, device, vehicle, and storage medium for monitoring the dormant current of a vehicle, in order to solve the technical problem in the related art that multiple functional devices of the vehicle are woken up when an abnormal current is detected, thereby increasing power consumption and affecting normal use by the user.

[0004] The first aspect of this application provides a method for monitoring the dormant current of a vehicle, comprising the following steps: when the vehicle is in a dormant state, collecting the current static current value of the entire vehicle at the current moment based on the intelligent battery sensor built into the vehicle; determining whether the current static current value of the entire vehicle meets a preset abnormal wake-up condition, and generating a static current abnormal signal when the static current value of the entire vehicle meets the preset abnormal wake-up condition; waking up a gateway based on the static current abnormal signal, so that after the gateway records the static current abnormal signal, the static current abnormal signal is uploaded to a preset server to complete the dormant current monitoring action.

[0005] Optionally, in one embodiment of this application, before collecting the current vehicle static current value based on the vehicle's built-in smart battery sensor, the method further includes: waking up the smart battery sensor every preset time interval and determining whether the smart battery sensor has completed calibration; if the smart battery sensor has completed calibration, then controlling the smart battery sensor to collect the current vehicle static current value.

[0006] Optionally, in one embodiment of this application, generating the static current abnormal signal includes: obtaining the cause of the static current abnormality based on the current vehicle static current value, while recording the time when the current vehicle static current value is generated; and generating the static current abnormal signal based on the cause of the static current abnormality and the time when it is generated.

[0007] Optionally, in one embodiment of this application, the preset abnormal wake-up conditions include: the vehicle does not receive a wake-up command; and / or, the vehicle static current value is greater than a preset abnormal static current threshold; and / or, the time between the occurrence of the abnormal current and the calibration time of the last wake-up of the smart battery sensor is less than or equal to the preset duration.

[0008] Optionally, in one embodiment of this application, before uploading the static current abnormal signal to a preset server, the method further includes: determining the abnormality type of the static current abnormal signal based on the generation time and the last wake-up time of the smart battery sensor; if the abnormality type is a smart battery sensor abnormality type, then sending an abnormality alert signal to a preset mobile terminal; otherwise, uploading the static current abnormal signal to the preset server.

[0009] A second aspect of this application provides a vehicle sleep current monitoring device, comprising: a data acquisition module, configured to acquire the current vehicle static current value at the current moment based on the vehicle's built-in intelligent battery sensor when the vehicle is in sleep mode; a generation module, configured to determine whether the current vehicle static current value meets a preset abnormal wake-up condition, and generate a static current abnormal signal when the vehicle static current value meets the preset abnormal wake-up condition; and a monitoring module, configured to wake up a gateway based on the static current abnormal signal, so that after the gateway records the static current abnormal signal, the static current abnormal signal is uploaded to a preset server to complete the sleep current monitoring action.

[0010] Optionally, in one embodiment of this application, it further includes: a first judgment module, used to wake up the intelligent battery sensor at preset intervals and determine whether the intelligent battery sensor has completed calibration; and a control module, used to control the intelligent battery sensor to collect the current static current value of the vehicle when the intelligent battery sensor has completed calibration.

[0011] Optionally, in one embodiment of this application, the generation module includes: an acquisition unit, configured to acquire the cause of the static current anomaly based on the current vehicle static current value and record the generation time of the current vehicle static current value; and a generation unit, configured to generate the static current anomaly signal based on the cause of the static current anomaly and the generation time.

[0012] Optionally, in one embodiment of this application, the preset abnormal wake-up conditions include: the vehicle does not receive a wake-up command; and / or, the vehicle static current value is greater than a preset abnormal static current threshold; and / or, the time between the occurrence of the abnormal current and the calibration time of the last wake-up of the smart battery sensor is less than or equal to the preset duration.

[0013] Optionally, in one embodiment of this application, it further includes: a second judgment module, used to determine the abnormal type of the static current abnormal signal based on the generation time and the last wake-up time of the smart battery sensor; and a reminder module, used to send an abnormal reminder signal to a preset mobile terminal when the abnormal type is a smart battery sensor abnormal type, otherwise to upload the static current abnormal signal to a preset server.

[0014] A third aspect of this application provides a vehicle, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle's sleep current monitoring method as described in the above embodiments.

[0015] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for monitoring the sleep current of a vehicle.

[0016] This embodiment of the application can monitor the vehicle's static current value based on the vehicle's built-in intelligent battery sensor when the vehicle is in sleep mode. When the vehicle's static current value is abnormal, a static current anomaly signal is generated, waking up the gateway. After the gateway records the static current anomaly signal, it is uploaded to a preset server, completing the sleep current monitoring action. This allows for proactive recording of abnormal sleep currents and real-time vehicle status monitoring and analysis through cloud platform data retrieval, facilitating early problem prevention and troubleshooting. Therefore, it solves the technical problem in related technologies where detecting abnormal current wakes up multiple vehicle functions, thereby increasing power consumption and affecting normal user operation.

[0017] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0018] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0019] Figure 1 This is a flowchart of a vehicle dormant current monitoring method according to an embodiment of this application;

[0020] Figure 2 This is a schematic diagram illustrating the principle of a vehicle dormant current monitoring method according to an embodiment of this application;

[0021] Figure 3 This is a flowchart of a vehicle dormant current monitoring method according to an embodiment of this application;

[0022] Figure 4 This is a schematic diagram of the structure of a vehicle dormant current monitoring device according to an embodiment of this application;

[0023] Figure 5 This is a structural schematic diagram of a vehicle provided according to an embodiment of this application. Detailed Implementation

[0024] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0025] The following description, with reference to the accompanying drawings, outlines a vehicle's sleep current monitoring method, apparatus, vehicle, and storage medium according to embodiments of this application. Addressing the technical problem mentioned in the background section where detecting abnormal current wakes up multiple vehicle functional devices, thus exacerbating power consumption and affecting normal user operation, this application provides a vehicle sleep current monitoring method. In this method, when the vehicle is in sleep mode, the vehicle's overall static current value is monitored based on the vehicle's built-in intelligent battery sensor. When the overall static current value is abnormal, a static current abnormality signal is generated and a gateway is activated. After the gateway records the static current abnormality signal, it is uploaded to a preset server, completing the sleep current monitoring action. This method proactively records abnormal sleep currents and, through data retrieval from a cloud platform, performs real-time vehicle status monitoring and analysis, facilitating early problem prevention and troubleshooting. Therefore, it solves the technical problem in related technologies where detecting abnormal current wakes up multiple vehicle functional devices, thus exacerbating power consumption and affecting normal user operation.

[0026] Specifically, Figure 1 This is a flowchart illustrating a method for monitoring the dormant current of a vehicle, as provided in an embodiment of this application.

[0027] like Figure 1 As shown, the method for monitoring the dormant current of this vehicle includes the following steps:

[0028] In step S101, when the vehicle is in a dormant state, the current static current value of the entire vehicle is collected based on the vehicle's built-in smart battery sensor.

[0029] In actual implementation, this application embodiment can control the vehicle's built-in intelligent battery sensor to enter abnormal current monitoring mode when the vehicle is in a dormant state, and collect the current static current value of the vehicle at the current moment in order to monitor the abnormal static current of the vehicle.

[0030] Optionally, in one embodiment of this application, before collecting the current vehicle static current value based on the vehicle's built-in smart battery sensor, the method further includes: waking up the smart battery sensor every preset time interval and determining whether the smart battery sensor has completed calibration; if the smart battery sensor has completed calibration, then controlling the smart battery sensor to collect the current vehicle static current value.

[0031] In some embodiments, before the vehicle's built-in smart battery sensor collects the current static current value of the vehicle at the current moment, the smart battery sensor can be controlled to wake up automatically every preset time interval, such as 60 seconds, for static calibration to improve the accuracy of the smart battery sensor. After the smart battery sensor completes calibration, the smart battery sensor can be controlled to collect the current static current value of the vehicle.

[0032] In step S102, it is determined whether the current static current value of the vehicle meets the preset abnormal wake-up condition, and when the static current value of the vehicle meets the preset abnormal wake-up condition, a static current abnormal signal is generated.

[0033] As one possible implementation method, the embodiments of this application can determine whether the current static current value of the vehicle collected by the intelligent battery sensor meets the preset abnormal wake-up conditions, and then generate a static current abnormal signal when the static current value of the vehicle meets the preset abnormal wake-up conditions, without the need to set up additional detection equipment, and without the need to wake up other functions of the vehicle.

[0034] Optionally, in one embodiment of this application, generating a static current abnormality signal includes: obtaining the cause of the static current abnormality based on the current vehicle static current value, while recording the time when the current vehicle static current value is generated; and generating a static current abnormality signal based on the cause of the static current abnormality and the time of generation.

[0035] Furthermore, the static current abnormal signal may include the cause of the static current abnormality and the time when the normal static current value is generated. In this embodiment, the static current abnormal signal can be generated based on the initially determined cause of the static current abnormality and the time when the vehicle static current value meets the preset abnormal wake-up conditions.

[0036] Optionally, in one embodiment of this application, the preset abnormal wake-up conditions include: the vehicle does not receive a wake-up command; and / or, the vehicle static current value is greater than a preset abnormal static current threshold; and / or, the time between the occurrence of the abnormal current and the calibration time of the last wake-up of the smart battery sensor is less than or equal to a preset duration.

[0037] Specifically, the preset abnormal wake-up conditions can include the vehicle not receiving a wake-up command. When the vehicle does not receive a wake-up command, it can remain in a dormant state. However, when the vehicle does not receive a wake-up command but some functions are abnormally woken up, it can be determined that the vehicle has been abnormally woken up.

[0038] When the vehicle's static current value is greater than the preset abnormal static current threshold, the vehicle's static current value can be maintained within a stable fluctuation range when the vehicle is in a dormant state. Therefore, when the vehicle's static current value is greater than the preset abnormal static current threshold, it can be determined that the vehicle has been abnormally woken up. The preset abnormal static current threshold can be set by those skilled in the art.

[0039] If the time between the occurrence of the error and the last time the smart battery sensor was calibrated is less than or equal to a preset time, it means that the smart battery sensor has failed to be calibrated properly.

[0040] In step S103, the gateway is woken up based on the static current abnormal signal so that after the gateway records the static current abnormal signal, the static current abnormal signal is uploaded to the preset server to complete the dormant current monitoring action.

[0041] In actual implementation, the embodiments of this application can wake up the gateway based on the static current abnormal signal. The gateway records the static current abnormal signal, that is, records the cause of the static current abnormality and the time when the normal static current value is generated, which is convenient for subsequent viewing and maintenance. At the same time, the static current abnormal signal is uploaded to a preset server, such as a cloud platform, to complete the dormant current monitoring action, and allows users to obtain the static current abnormal status of the vehicle by sending a viewing command.

[0042] Optionally, in one embodiment of this application, before uploading the static current abnormal signal to a preset server, the method further includes: determining the abnormal type of the static current abnormal signal based on the generation time and the last wake-up time of the smart battery sensor; if the abnormal type is a smart battery sensor abnormal type, then sending an abnormality alert signal to a preset mobile terminal; otherwise, uploading the static current abnormal signal to the preset server.

[0043] As one possible implementation, this application embodiment can determine the abnormality type of the static current abnormal signal based on the generation time and the last wake-up time of the smart battery sensor. When the time between the generation time and the last wake-up calibration time of the smart battery sensor is less than or equal to a preset time, that is, when the smart battery sensor fails to calibrate normally, the abnormality type is a smart battery sensor abnormality type. At this time, there is an error in the monitoring data of the smart battery sensor. This application embodiment can send an abnormality reminder signal to a preset mobile terminal, such as a user's mobile phone or smartwatch. Conversely, when the abnormality type is not a smart battery sensor abnormality type, this application embodiment can upload the static current abnormal signal to a preset server.

[0044] Combination Figure 2 and Figure 3 As shown, the working principle of the vehicle dormant current monitoring method of this application embodiment is explained in detail with reference to one embodiment.

[0045] For example, the vehicle dormant current monitoring method of this application embodiment can be used in practical applications through methods such as... Figure 2 The framework shown is implemented.

[0046] like Figure 2 The framework shown may include: IBS (Intelligent Battery Sensor), GW (Gateway), and TBOX (Telematics-BOX).

[0047] like Figure 3 As shown, based on Figure 2 The framework shown in this application embodiment may include the following steps:

[0048] Step S1: After the vehicle enters sleep mode, IBS is responsible for monitoring the vehicle's static current and completing its own calibration. When the vehicle is in sleep mode, it will wake up every 60 seconds for static calibration to improve its accuracy, but it will not wake up LIN (Local Interconnect Network).

[0049] Step S2: The IBS has an abnormal wake-up function. When an abnormal static current occurs (static current > 50mA rated value), the IBS can wake up the GW node via LIN wake-up under certain conditions and send the data to the GW node.

[0050] Step S3: When the GW receives an IBS static current abnormality and the static current exceeds the limit of 50mA, it can record the abnormal situation (in DTC format) and upload it to the cloud platform via TBOX, but without waking up the whole vehicle.

[0051] The vehicle dormant current monitoring method proposed in this application can monitor the vehicle's static current value based on the vehicle's built-in intelligent battery sensor when the vehicle is in dormant mode. When the vehicle's static current value is abnormal, a static current abnormality signal is generated and the gateway is activated. After the gateway records the static current abnormality signal, it is uploaded to a preset server, completing the dormant current monitoring action. This method can actively record abnormal dormant currents and, through data retrieval from a cloud platform, perform real-time vehicle status monitoring and analysis, facilitating early problem prevention and troubleshooting. Therefore, it solves the technical problem in related technologies where detecting abnormal current will wake up multiple vehicle functional devices, thereby increasing power consumption and affecting normal user operation.

[0052] Next, referring to the accompanying drawings, a vehicle dormant current monitoring device according to an embodiment of this application is described.

[0053] Figure 4 This is a block diagram of a vehicle dormant current monitoring device according to an embodiment of this application.

[0054] like Figure 4 As shown, the vehicle's dormant current monitoring device 10 includes: a data acquisition module 100, a data generation module 200, and a monitoring module 300.

[0055] Specifically, the acquisition module 100 is used to acquire the current static current value of the entire vehicle at the current moment based on the vehicle's built-in intelligent battery sensor when the vehicle is in a dormant state.

[0056] The generation module 200 is used to determine whether the current static current value of the vehicle meets the preset abnormal wake-up conditions, and to generate a static current abnormal signal when the static current value of the vehicle meets the preset abnormal wake-up conditions.

[0057] The monitoring module 300 is used to wake up the gateway based on the static current abnormal signal, so that after the gateway records the static current abnormal signal, it uploads the static current abnormal signal to the preset server to complete the dormant current monitoring action.

[0058] Optionally, in one embodiment of this application, the vehicle's dormant current monitoring device 10 further includes a first judgment module and a control module.

[0059] The first judgment module is used to wake up the smart battery sensor every preset time interval and determine whether the smart battery sensor has completed calibration.

[0060] The control module is used to control the intelligent battery sensor to collect the current static current value of the vehicle when the intelligent battery sensor has completed calibration.

[0061] Optionally, in one embodiment of this application, the generation module 200 includes an acquisition unit and a generation unit.

[0062] The acquisition unit is used to obtain the cause of the static current anomaly based on the current static current value of the vehicle, and at the same time, record the time when the current static current value of the vehicle is generated.

[0063] The generation unit is used to generate a static current abnormality signal based on the cause and time of occurrence of the static current abnormality.

[0064] Optionally, in one embodiment of this application, the preset abnormal wake-up conditions include: the vehicle does not receive a wake-up command; and / or, the vehicle static current value is greater than a preset abnormal static current threshold; and / or, the time between the occurrence of the abnormal current and the calibration time of the last wake-up of the smart battery sensor is less than or equal to a preset duration.

[0065] Optionally, in one embodiment of this application, the vehicle's dormant current monitoring device 10 further includes a second judgment module and an alert module.

[0066] The second judgment module is used to determine the abnormal type of the static current abnormal signal based on the generation time and the last wake-up time of the smart battery sensor.

[0067] The alert module is used to send an alert signal to a preset mobile terminal when the abnormality type is the intelligent battery sensor abnormality type; otherwise, it will upload the static current abnormality signal to a preset server.

[0068] It should be noted that the explanation of the above-described embodiment of the vehicle dormant current monitoring method also applies to the vehicle dormant current monitoring device of this embodiment, and will not be repeated here.

[0069] The vehicle dormant current monitoring device proposed in this application can monitor the vehicle's static current value based on the vehicle's built-in intelligent battery sensor when the vehicle is in dormant mode. When the vehicle's static current value is abnormal, a static current abnormality signal is generated and the gateway is activated. After the gateway records the static current abnormality signal, it is uploaded to a preset server, completing the dormant current monitoring action. This device can actively record abnormal dormant currents and, through data retrieval from a cloud platform, perform real-time vehicle status monitoring and analysis, facilitating early problem prevention and troubleshooting. Therefore, it solves the technical problem in related technologies where detecting abnormal current will activate multiple vehicle functional devices, thereby increasing power consumption and affecting normal user operation.

[0070] Figure 5 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include:

[0071] The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0072] When the processor 502 executes the program, it implements the vehicle sleep current monitoring method provided in the above embodiments.

[0073] Furthermore, the vehicle also includes:

[0074] Communication interface 503 is used for communication between memory 501 and processor 502.

[0075] The memory 501 is used to store computer programs that can run on the processor 502.

[0076] The memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0077] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0078] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0079] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0080] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for monitoring the sleep current of a vehicle.

[0081] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0082] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0083] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0084] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0085] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0086] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0087] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0088] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method of monitoring a sleep current of a vehicle, characterized by, The method comprises the following steps: collecting a current vehicle static current value at the current time based on an intelligent battery sensor built in the vehicle when the vehicle is in a hibernation state; determining whether the current vehicle static current value meets a preset abnormal wake-up condition, and generating a static current abnormal signal when the vehicle static current value meets the preset abnormal wake-up condition; waking up a gateway based on the static current abnormal signal, so as to upload the static current abnormal signal to a preset server after the gateway records the static current abnormal signal, and complete a hibernation current monitoring action; wherein, before collecting the current vehicle static current value at the current time based on the intelligent battery sensor built in the vehicle, the method further comprises: waking up the intelligent battery sensor every preset time length, and determining whether the intelligent battery sensor completes calibration; if the intelligent battery sensor completes calibration, controlling the intelligent battery sensor to collect the current vehicle static current value; wherein, the generating of the static current abnormal signal comprises: obtaining a static current abnormal reason based on the current vehicle static current value, and recording a generation time of the current vehicle static current value at the same time; and generating the static current abnormal signal according to the static current abnormal reason and the generation time; wherein, the preset abnormal wake-up condition comprises: the vehicle does not receive a wake-up instruction; the vehicle static current value is greater than a preset abnormal static current threshold, and / or the generation time is less than or equal to the preset time length from a calibration time of the last time the intelligent battery sensor is woken up.

2. The method of claim 1, wherein, Before uploading the static current abnormal signal to the preset server, the method further comprises: determining an abnormal type of the static current abnormal signal based on the generation time and the last wake-up time of the intelligent battery sensor; if the abnormal type is an intelligent battery sensor abnormal type, sending an abnormal reminder signal to a preset mobile terminal, otherwise uploading the static current abnormal signal to the preset server.

3. A sleep current monitoring device for a vehicle, characterized by The hibernation current monitoring method of the vehicle according to claim 1 or 2, wherein the device comprises: a collection module, configured to collect a current vehicle static current value at the current time based on an intelligent battery sensor built in the vehicle when the vehicle is in a hibernation state; a generation module, configured to determine whether the current vehicle static current value meets a preset abnormal wake-up condition, and generate a static current abnormal signal when the vehicle static current value meets the preset abnormal wake-up condition; a monitoring module, configured to wake up a gateway based on the static current abnormal signal, so as to upload the static current abnormal signal to a preset server after the gateway records the static current abnormal signal, and complete a hibernation current monitoring action; a determination module, configured to wake up the intelligent battery sensor every preset time length, and determine whether the intelligent battery sensor completes calibration; a control module, configured to control the intelligent battery sensor to collect the current vehicle static current value when the intelligent battery sensor completes calibration; The generation module comprises: an acquisition unit, configured to acquire a static current abnormality reason based on the current whole vehicle static current value, and record a generation time of the current whole vehicle static current value; and a generation unit, configured to generate the static current abnormality signal according to the static current abnormality reason and the generation time. The preset abnormality wake-up condition comprises: the vehicle does not receive a wake-up instruction; the whole vehicle static current value is greater than a preset abnormality static current threshold, and / or the generation time is less than or equal to the preset time length from a last time when the intelligent storage battery sensor is woken up for calibration.

4. A vehicle characterized by comprising: The method comprises: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the sleep current monitoring method of the vehicle according to any one of claims 1-2.

5. A computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the sleep current monitoring method of the vehicle according to any one of claims 1-2.

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