Storage battery abnormal condition early warning method and device

Abstract

The invention discloses a storage battery abnormal condition early warning method and device, and the method comprises the steps: receiving the related state information, collected by a storage battery sensor, of a storage battery, and the related state information comprises the electric quantity of the storage battery, the health state of the storage battery, and the voltage value of the storage battery; sending the related state information to a cloud platform, analyzing the related state information through the cloud platform by using a predictive service algorithm, and judging whether the storage battery is abnormal or not; when it is judged that the storage battery is abnormal, the abnormal condition of the storage battery is determined, and the abnormal condition is pushed to a user. According to the invention, early warning of the abnormity of the storage battery of the vehicle is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and particularly to a method and device for warning of abnormal conditions of a storage battery. Background Art

[0002] With the development of the intelligent and networked automotive industry, the electrical architecture of automobiles has become increasingly complex and the configurations have become more and more abundant. Users' requirements for automobiles are no longer just a means of transportation, and their requirements for usability and entertainment have gradually increased. More and more electrical components often mean more complex interaction logics. However, no matter how complex the interaction logics among the various components of the automobile itself are, what needs to be presented to the user should be a simple, easy-to-understand, convenient and reliable user experience. Especially for emerging functions, the most direct and simple guidance and various reliable predictive services should be used to bring the most intuitive feelings to the user. As an essential component of all automobiles, the management of the storage battery is a problem that needs to be considered for each automobile, and customers should not be made to perceive problems until the battery of the automobile is discharged to the point where the whole vehicle cannot start.

[0003] Currently, in most cases, users only know that the storage battery has been discharged after they find that the vehicle cannot start, and it is impossible to give a prior reminder. Summary of the Invention

[0004] In view of this, an object of the present invention is to provide a method and device for warning of abnormal conditions of a storage battery, aiming to solve the problem in the prior art that the vehicle battery cannot give an early reminder when it is discharged.

[0005] An object of the present invention is to provide a method for warning of abnormal conditions of a storage battery, which is applied to a remote communication module of a vehicle. The method includes: Receiving relevant status information of the storage battery collected by a storage battery sensor, where the relevant status information includes the storage battery power, the storage battery health status, and the storage battery voltage value; Sending the relevant status information to a cloud platform, and the cloud platform uses a predictive service algorithm to analyze the relevant status information respectively and determine whether the storage battery is abnormal; When it is determined that the storage battery is abnormal, determining the abnormal conditions of the storage battery and pushing the abnormal conditions to the user.

[0006] Further, in the above method for warning of abnormal conditions of a storage battery, the step of sending the relevant status information to the cloud platform, and the cloud platform using a predictive service algorithm to analyze the relevant status information respectively and determine whether the storage battery is abnormal includes: When the vehicle is not started and the health status of the storage battery is accurately measured, if the storage battery voltage value is less than a preset threshold, it is determined that the health status of the storage battery is not good and the storage battery needs to be replaced.

[0007] Further, for the above battery abnormal situation warning method, the step of sending relevant status information to the cloud platform and using the predictive service algorithm by the cloud platform to analyze the relevant status information respectively and determine whether there is an abnormality in the battery further includes: When the vehicle is not started and the battery power of the battery is less than the preset threshold, it is determined that the battery power is too low.

[0008] Further, for the above battery abnormal situation warning method, the step of sending relevant status information to the cloud platform and using the predictive service algorithm by the cloud platform to analyze the relevant status information respectively and determine whether there is an abnormality in the battery further includes: If the cloud platform monitors that the vehicle still does not go to sleep within the preset time after the vehicle power-off, or within a certain continuous time period after the vehicle goes to sleep, and the battery power drops by more than the threshold per hour, it is determined that the current power loss of the vehicle is abnormal.

[0009] Further, for the above battery abnormal situation warning method, the step of determining the abnormal situation of the battery when it is determined that there is an abnormality in the battery and pushing the abnormal situation to the user includes: Forward the abnormal signal containing the abnormal information to the IVI. After receiving the abnormal signal, when the vehicle is powered on, the corresponding abnormal information is prompted on the screen, and the abnormal information is pushed to the user's mobile terminal APP.

[0010] Further, for the above battery abnormal situation warning method, after the step of forwarding the abnormal signal containing the abnormal information to the IVI, after receiving the abnormal signal, when the vehicle is powered on, the corresponding abnormal information is prompted on the screen, and the abnormal information is pushed to the user's mobile terminal APP, it further includes: When the battery returns to normal, reset the abnormal signal and update the corresponding abnormal information.

[0011] Further, for the above battery abnormal situation warning method, the step of receiving the relevant status information of the battery collected by the battery sensor, where the relevant status information includes the battery power, the battery health status, and the battery voltage value, includes: The battery sensor collects the battery-related status information more than once each time the vehicle is powered on and before power-off; The battery sensor regularly collects the battery-related status information during the vehicle power-on process; The battery sensor regularly collects the battery-related status information from when the vehicle is powered off until the vehicle goes to sleep; After the vehicle goes to sleep, the battery-related status information is collected at a preset interval.

[0012] Another object of the present invention is to provide a warning device for abnormal conditions of a storage battery, which is applied to a remote communication module of a vehicle. The device includes: An acquisition module for receiving relevant state information of the storage battery collected by a storage battery sensor. The relevant state information includes the storage battery power, the storage battery health state, and the storage battery voltage value; An analysis module for sending the relevant state information to a cloud platform, and the cloud platform uses a predictive service algorithm to analyze the relevant state information respectively and determine whether there is an abnormality in the storage battery; A warning module for determining the abnormal condition of the storage battery when it is determined that there is an abnormality in the storage battery, and pushing the abnormal condition to the user.

[0013] Another object of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the above method are implemented.

[0014] The present invention receives relevant state information of the storage battery collected by a storage battery sensor. The relevant state information includes the storage battery power, the storage battery health state, and the storage battery voltage value; sends the relevant state information to a cloud platform, and the cloud platform uses a predictive service algorithm to analyze the relevant state information respectively and determine whether there is an abnormality in the storage battery; when it is determined that there is an abnormality in the storage battery, determine the abnormal condition of the storage battery and push the abnormal condition to the user, and give a prompt to the user in time before the storage battery has a problem but does not cause abnormal use of the vehicle by the user, so as to avoid inconvenience to the user caused by the storage battery problem. It solves the problem that the vehicle battery in the prior art cannot give an early warning when the battery runs out of power. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a flowchart of a method for warning abnormal conditions of a storage battery in the first embodiment of the present invention; Figure 2 is a structural block diagram of a warning device for abnormal conditions of a storage battery in the second embodiment of the present invention.

[0016] The following specific embodiments will further illustrate the present invention in conjunction with the above drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] To facilitate the understanding of the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the disclosure of the present invention more thorough and comprehensive.

[0018] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there can also be an intermediate element. When an element is considered to be "connected to" another element, it can be directly connected to the other element or there may be an intermediate element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are only for illustrative purposes.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0020] Embodiment 1 Please refer to Figure 1 , which shows the method for warning abnormal conditions of the storage battery in the first embodiment of the present invention. The method includes steps S10 to S12.

[0021] Step S10: Receive the relevant state information of the storage battery collected by the storage battery sensor. Among them, the relevant state information includes the storage battery power, the storage battery health state, and the storage battery voltage value.

[0022] Among them, when the vehicle is not in the sleep state, the storage battery sensor EBS will continuously collect the relevant state information of the storage battery and send it on the CAN network bus in the form of CAN signals. The signal information includes signals such as the storage battery power EBS_SOC, the storage battery health state EBS_SOH_COR_STATE, and the storage battery voltage value EBS_SOH_COR.

[0023] Specifically, TBOX will collect more than once the relevant signals of the storage battery and other vehicle condition signals of the vehicle after each power-on and before power-off and report them to the cloud platform. During the power-on process, these signals will also be collected regularly (for example, every minute) and uploaded. After power-off and until the vehicle enters the sleep state, these signals will also be collected regularly (for example, every minute) and uploaded; after the vehicle enters the sleep state, these signals will be collected and reported at a longer time interval (for example, uploaded once per hour) Step S11: Send the relevant state information to the cloud platform, and use the predictive service algorithm on the cloud platform to analyze the relevant state information respectively and determine whether there is an abnormality in the storage battery.

[0024] Among them, after the cloud platform receives the relevant signals reported by TBOX, it starts the storage battery predictive service algorithm to determine whether the above signal values and their changes reach the storage battery warning state.

[0025] Specifically, when the vehicle is not started and the state of health of the battery is accurately measured, if the battery voltage value is less than the preset threshold, it is determined that the state of health of the battery is poor and the battery needs to be replaced. For example, when the vehicle is not started, that is, when the vehicle power signal BCM_PowerMode = 0x0: OFF or BCM_PowerMode = 0x2: ON & EMS_EngSpeed ≤ 3, the EBS_SOH_COR_STATE of the battery = 0x2: accurate, and EBS_SOH_COR ≤ 6.3V, indicating that the state of health of the battery is poor and the battery needs to be replaced. When the vehicle is not started, if the battery charge is less than the preset threshold, it is determined that the battery charge is too low. For example, when the vehicle is not started, that is, when the vehicle power signal BCM_PowerMode = 0x0: OFF or BCM_PowerMode = 0x2: ON & EMS_EngSpeed ≤ 3, the EBS_SOC of the battery ≤ 35%, indicating that the battery charge is too low and needs to be charged in time, otherwise there is a risk of power failure or the vehicle cannot start. If the cloud platform monitors that the vehicle still does not go to sleep within the preset time after the vehicle is powered off, or during a certain continuous time period after the vehicle goes to sleep, and the battery charge drops by more than the threshold value per hour, it is determined that the current power loss of the vehicle is abnormal. For example, when the vehicle is powered off, it usually goes to sleep within 10 to 15 minutes. If the cloud platform monitors that the vehicle still does not go to sleep within 2 hours after the vehicle is powered off, or during a certain continuous 2-hour period after the vehicle goes to sleep, and the battery charge (i.e., EBS_SOC) drops by more than the normal value per hour (such as the EBS_SOC drop value per hour ≥ 1%), it is determined that the current power loss of the vehicle is abnormal, which may be due to the vehicle not going to sleep normally or some electrical appliances consuming power abnormally, and needs to be dealt with in time.

[0026] Step S12, when it is determined that there is an abnormality in the battery, determine the abnormal situation of the battery and push the abnormal situation to the user.

[0027] Specifically, forward the exception signal containing exception information to IVI. After receiving the exception signal, when the vehicle is powered on, IVI will prompt the corresponding exception information on the screen and push the exception information to the user's mobile terminal APP. For example, the cloud platform sends the warning result EBS_Result = 0x1: Replace (indicating that the battery needs to be replaced) back to TBOX and simultaneously pushes it to the mobile phone APP. After receiving the signal "The battery needs to be replaced" (EBS_Result = 0x1: Replace), TBOX will forward this signal to the in-vehicle infotainment system IVI. After receiving this signal, when the vehicle is powered on, IVI will prompt on the screen "The battery is in poor condition. Please replace the battery as soon as possible!" and display it for 5 seconds. The user will simultaneously receive a message push on the mobile phone APP: "Dear owner, your vehicle's battery is in poor condition and needs to be replaced as soon as possible!". When the signal received by the cloud platform continuously remains EBS_SOH_COR_STATE = 0x2: accurate and EBS_SOH_COR ≤ 6.3V, the cloud platform will continuously send the warning result of battery replacement EBS_Result = 0x1: Replace back to TBOX and the mobile phone APP, and the user will continuously receive the message of battery replacement pushed by the cloud platform on the mobile phone APP side every day.

[0028] When obtaining the exception information that the battery power is low, the cloud platform sends the warning result EBS_Result = 0x2: Battery Low (indicating that the battery power is low) back to TBOX and simultaneously pushes it to the mobile phone APP. After receiving this signal, TBOX forwards it to IVI. After receiving this signal, when the vehicle is powered on, IVI will prompt on the screen "The battery power is low. Please start the engine as soon as possible!" and display it for 5 seconds. The user will simultaneously receive a message push on the mobile phone APP: "Dear owner, your vehicle's battery power is low. Please start the engine as soon as possible!". When obtaining abnormal battery power loss, generally, the SOC value of the vehicle's battery is between 40% and 80%. If it drops by ≥ 1% per hour, the vehicle's battery may be completely discharged in less than two days of being stationary. Therefore, the cloud platform returns EBS_Result = 0x3: Battery Abnormal to TBOX and simultaneously pushes it to the mobile phone APP. The user will receive a message push on the mobile phone APP: "Dear owner, your vehicle's battery power is dropping abnormally. Please start the engine as soon as possible and confirm the vehicle status!". If the user powers on or starts the vehicle at this time, IVI will prompt on the screen "The battery power is dropping abnormally. Please go to the 4S store for troubleshooting as soon as possible!" according to the EBS_Result = 0x3: Battery Abnormal signal forwarded back by TBOX and display it for 5 seconds.

[0029] In addition, in some alternative embodiments of the present invention, after the step of forwarding the abnormal signal containing the abnormal information to the IVI, and after the IVI receives the abnormal signal and prompts the corresponding abnormal information on the screen and pushes the abnormal information to the user's mobile terminal APP after the vehicle is powered on, the following steps are further included: When the battery returns to normal, reset the abnormal signal and update the corresponding abnormal information.

[0030] Specifically, when the vehicle is not started, if the cloud platform receives that the EBS_SOH_COR_STATE of the battery is 0x2: accurate and EBS_SOH_COR > 7V, it indicates that the battery state has returned to a better state or the battery has been replaced, and the early warning result signal will be reset, that is, EBS_Result = 0x0: Reserved, and this early warning result is sent back to the TBOX and the mobile phone APP. After receiving this signal, the TBOX forwards it to the IVI, and the IVI will no longer make a battery replacement prompt on the screen every time it is powered on. After receiving this signal on the user's mobile phone APP side, the message reminder of battery replacement will no longer be pushed.

[0031] When the vehicle is in the non-started state, if the cloud platform receives that the EBS_SOC of the battery is ≥ 45%, it indicates that the battery power has returned to the safe area, and there is temporarily no risk of power failure or the vehicle being unable to start. The early warning result will be reset, that is, EBS_Result = 0x0: Reserved, and this early warning result is sent back to the TBOX and the mobile phone APP. After receiving this signal, the TBOX forwards it to the IVI, and the IVI will no longer make a low battery power prompt on the screen every time it is powered on. After receiving this signal on the user's mobile phone APP side, the message reminder of low battery power will no longer be pushed.

[0032] 2) When the vehicle is started, the cloud platform will suspend the predictive service of power loss early warning, and the early warning result will be reset, that is, EBS_Result = 0x0: Reserved, and this early warning result is sent back to the TBOX and the mobile phone APP. After receiving this signal, the TBOX forwards it to the IVI, and the IVI will no longer prompt after the current prompt is displayed. After receiving this signal on the user's mobile phone APP side, the message reminder of abnormal power drop will no longer be pushed.

[0033] Until the vehicle is powered off, the cloud platform will start the predictive service of abnormal power loss warning again to monitor whether the whole vehicle is in normal sleep or whether there is a continuous power drop value ≥ 1% for 2 hours after sleep.

[0034] In summary, the present invention receives the relevant status information of the battery collected by the battery sensor, where the relevant status information includes the battery power, the battery health status, and the battery voltage value; sends the relevant status information to the cloud platform, and the cloud platform uses the predictive service algorithm to analyze the relevant status information respectively and determine whether the battery is abnormal; when it is determined that the battery is abnormal, the abnormal situation of the battery is determined and pushed to the user, so as to give the user a prompt in time before the battery problem causes abnormal use of the vehicle by the user, and avoid the inconvenience caused by the battery problem to the user. It solves the problem that the vehicle battery in the prior art cannot give an early reminder when the power is cut off.

[0035] Embodiment 2 Please refer to Figure 2 , which shows the battery abnormal situation warning device proposed in the second embodiment of the present invention. The device includes: An acquisition module 100, configured to receive the relevant status information of the battery collected by the battery sensor, where the relevant status information includes the battery power, the battery health status, and the battery voltage value; An analysis module 200, configured to send the relevant status information to the cloud platform, and the cloud platform uses the predictive service algorithm to analyze the relevant status information respectively and determine whether the battery is abnormal; A warning module 300, configured to determine the abnormal situation of the battery when it is determined that the battery is abnormal and push the abnormal situation to the user.

[0036] Further, for the above battery abnormal situation warning device, the step of sending the relevant status information to the cloud platform, and the cloud platform using the predictive service algorithm to analyze the relevant status information respectively and determine whether the battery is abnormal includes: When the vehicle is not started and the health status of the battery is accurately measured, if the battery voltage value is less than the preset threshold, it is determined that the health status of the battery is not good and the battery needs to be replaced.

[0037] Further, for the above battery abnormal situation warning device, the step of sending the relevant status information to the cloud platform, and the cloud platform using the predictive service algorithm to analyze the relevant status information respectively and determine whether the battery is abnormal further includes: When the vehicle is not started, if the battery power of the battery is less than the preset threshold, it is determined that the battery power is too low.

[0038] Further, for the above battery abnormal situation warning device, the step of sending the relevant status information to the cloud platform, and the cloud platform using the predictive service algorithm to analyze the relevant status information respectively and determine whether the battery is abnormal further includes: If the cloud platform detects that the vehicle has not entered sleep mode within the preset time after powering off the whole vehicle, or during a certain continuous time period after the vehicle enters sleep mode, and the battery power drops by more than the threshold value per hour, it is determined that the current power loss of the vehicle is abnormal.

[0039] Further, for the above-mentioned battery abnormality warning device, the step of determining the abnormality of the battery when it is determined that there is an abnormality in the battery and pushing the abnormality to the user includes: Forward the abnormal signal containing the abnormal information to the IVI. After receiving the abnormal signal, when the vehicle is powered on, the IVI will prompt the corresponding abnormal information on the screen and push the abnormal information to the user's mobile terminal APP.

[0040] Further, for the above-mentioned battery abnormality warning device, after the step of forwarding the abnormal signal containing the abnormal information to the IVI, and after the IVI receives the abnormal signal, when the vehicle is powered on, prompting the corresponding abnormal information on the screen and pushing the abnormal information to the user's mobile terminal APP, the following steps are further included: When the battery returns to normal, reset the abnormal signal and update the corresponding abnormal information.

[0041] Further, for the above-mentioned battery abnormality warning device, the step of receiving the relevant status information of the battery collected by the battery sensor, where the relevant status information includes the battery power, the battery health status, and the battery voltage value, includes: The battery sensor will collect the battery-related status information more than once each time the vehicle is powered on and before it is powered off; During the vehicle power-on process, the battery sensor regularly collects the battery-related status information; After the vehicle is powered off and until the whole vehicle enters sleep mode, the battery sensor regularly collects the battery-related status information; After the vehicle enters sleep mode, the battery sensor collects the battery-related status information at a preset interval.

[0042] The functions or operation steps implemented when the above-mentioned modules are executed are substantially the same as those in the above-mentioned device embodiment, and will not be elaborated here.

[0043] Embodiment 3 On the other hand, the present invention also provides a readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method described in the above-mentioned Embodiment 1 are implemented.

[0044] Embodiment 4 On the other hand, the present invention also provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the method described in the above-mentioned Embodiment 1 are implemented.

[0045] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0046] Those skilled in the art can understand that the logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable storage medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or used in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable storage medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0047] More specific examples (non-exhaustive list) of computer-readable storage media include the following: an electrical connection part (electronic device) having one or more wirings, a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, a computer-readable storage medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0048] It should be understood that each part of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0049] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0050] The above-described embodiments merely represent several implementation manners of the present invention. The descriptions are relatively specific and detailed, but should not be construed as limiting the scope of the patent of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the appended claims.

Claims

1. A battery abnormality warning method, characterized in that: A remote communication module applied to a vehicle, the method comprising: Receive relevant status information of the battery collected by the battery sensor, wherein the relevant status information includes battery power, battery health status, and battery voltage value; Send relevant status information to the cloud platform, and use the predictive service algorithm on the cloud platform to analyze the relevant status information and determine whether the battery is abnormal; When it is determined that the battery is abnormal, the abnormal condition of the battery is determined and the abnormal condition is pushed to the user.

2. The battery abnormality warning method according to claim 1, characterized in that: The steps of sending the relevant status information to the cloud platform, and using the cloud platform to analyze the relevant status information using a predictive service algorithm and determine whether the battery is abnormal include: When the vehicle is not started and the battery health status is accurately measured, if the battery voltage value is less than a preset threshold, it is determined that the battery health status is poor and the battery needs to be replaced.

3. The battery abnormality warning method according to claim 1, characterized in that: The step of sending the relevant status information to the cloud platform, and using the cloud platform to analyze the relevant status information using a predictive service algorithm and determine whether the battery is abnormal includes: When the vehicle is not started, if the battery power of the battery is less than a preset threshold, it is determined that the battery power is too low.

4. The battery abnormality warning method according to claim 1, characterized in that: The steps of sending the relevant status information to the cloud platform, and using the predictive service algorithm on the cloud platform to analyze the relevant status information and determine whether the battery is abnormal include: If the cloud platform detects that the vehicle has not gone into sleep mode within a preset time after being powered off, or that the battery power drops by more than a threshold every hour for a continuous period of time after the vehicle has gone into sleep mode, it is determined that the vehicle's current power consumption is abnormal.

5. The battery abnormality warning method according to claim 1, characterized in that: The step of determining the abnormality of the battery when it is determined that the battery is abnormal and pushing the abnormality to the user comprises: The abnormal signal containing abnormal information is forwarded to IVI. After receiving the abnormal signal, IVI prompts the corresponding abnormal information on the screen after the vehicle is powered on, and pushes the abnormal information to the user's mobile terminal APP.

6. The battery abnormality warning method according to claim 5, characterized in that: The step of forwarding the abnormal signal containing abnormal information to the IVI, and after the IVI receives the abnormal signal, prompting the corresponding abnormal information on the screen after the vehicle is powered on, and pushing the abnormal information to the user's mobile terminal APP also includes: When the battery returns to normal, the abnormal signal is reset and the abnormal information is updated accordingly.

7. The battery abnormality warning method according to claim 1, characterized in that: The step of receiving the relevant status information of the battery collected by the battery sensor, wherein the relevant status information includes the battery power, the battery health status, and the battery voltage value, comprises: The battery sensor will collect battery status information at least once each time the vehicle is powered on and before it is powered off; During the vehicle power-on process, the battery sensor regularly collects battery status information; Collect battery status information regularly after the vehicle is powered off until the vehicle goes into sleep mode; After the vehicle goes into sleep mode, the battery status information is collected at preset intervals.

8. A battery abnormality warning device, characterized in that: A remote communication module for a vehicle, the device comprising: An acquisition module is used to receive relevant status information of the battery collected by the battery sensor, wherein the relevant status information includes battery power, battery health status, and battery voltage value; The analysis module is used to send the relevant status information to the cloud platform, and the cloud platform uses the predictive service algorithm to analyze the relevant status information and determine whether the battery has any abnormality; The early warning module is used to determine the abnormal situation of the battery when it is judged that the battery is abnormal, and push the abnormal situation to the user.

9. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the program.

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