Vehicle low-voltage storage battery power loss early warning method, device and equipment based on big data and vehicle

Abstract

The application provides a vehicle low-voltage storage battery power shortage early warning method, device and equipment based on big data and a vehicle, and is used for solving the problem that the existing non-inductive starting mode is easy to cause users to ignore low-voltage storage battery power shortage, resulting in vehicle starting failure, increasing rescue and user complaints. The vehicle low-voltage storage battery power shortage early warning method based on big data comprises the following steps: acquiring the current power-on and power-off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the door lock state of the vehicle door and the seat pressure data; when it is confirmed that the low-voltage storage battery of the vehicle is about to be powered off according to the current power-on and power-off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the door lock state of the vehicle door and the seat pressure data, an early warning prompt is output to the user terminal.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of whole vehicle power supply control, in particular to a vehicle low-voltage storage battery power loss early warning method, device and equipment based on big data and vehicle. BACKGROUND

[0002] With the development and rapid popularization of intelligent electric vehicles, the vehicle starting mode is basically no-sense starting, and the traditional starting button is cancelled.

[0003] Because the no-sense starting system does not need to insert the key, it can start only by pressing the button or approaching the vehicle, and this convenience makes the user almost feel the instantaneous state of the low-voltage storage battery when starting the vehicle; therefore, even if the low-voltage storage battery has low power, as long as the vehicle can be started, the user may not realize the abnormality of the power. In addition, some users may not understand that the behavior of using electrical equipment after the vehicle has been parked and turned off for a long time will cause the low-voltage storage battery to lose power; for example, turning on the hazard warning light when the vehicle is parked and turned off will cause the low-voltage storage battery to continue to discharge during parking.

[0004] Therefore, the no-sense starting mode will cause the user to not deeply perceive some improper use modes that can easily cause the low-voltage storage battery to lose power, and the user will continue to use the vehicle in the low-power state, and thus the vehicle cannot be started due to the low-voltage storage battery losing power, and the user can only choose to call for rescue or help from the 4S store to charge the low-voltage storage battery of the vehicle, which not only increases the rescue workload but also causes user complaints. SUMMARY

[0005] The present application provides a vehicle low-voltage storage battery power loss early warning method, device and equipment based on big data, which is used to solve the problem that the existing no-sense starting mode easily causes the user to ignore the low-voltage storage battery power loss, resulting in vehicle starting failure, increased rescue and user complaints.

[0006] The technical scheme of the present application is as follows:

[0007] On the one hand, the present application provides a vehicle low-voltage storage battery power loss early warning method based on big data, comprising:

[0008] obtaining the current power-on and power-off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the door lock state of the vehicle and the seat pressure data;

[0009] when it is confirmed that the low-voltage storage battery of the vehicle is about to lose power according to the current power-on and power-off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the door lock state of the vehicle and the seat pressure data, outputting a warning prompt to the user terminal.

[0010] Preferably, when it is determined that the low-voltage storage battery of the vehicle is about to run out of power according to the current power-on / off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the state of the vehicle door lock, and the seat pressure data, the step of outputting a pre-warning prompt to the user terminal comprises:

[0011] When the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-on state, and the remaining power of the power battery is less than a preset power, a pre-warning prompt is output to the user terminal, suggesting that the low-voltage storage battery is low in power and needs to be charged.

[0012] When the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-off state, and there is a person in the front seat, or when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-off state, and the vehicle door lock is not locked, a pre-warning prompt is output to the user terminal, suggesting that the low-voltage storage battery is low in power and needs to be started or charged.

[0013] Preferably, when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-on state, and the remaining power of the power battery is less than a preset power, the method further comprises:

[0014] Obtaining the real-time position of the vehicle;

[0015] According to the real-time position of the vehicle, identifying a repair shop within a preset distance range from the vehicle, and recommending the identified repair shop information to the user terminal.

[0016] Preferably, when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-off state, and there is a person in the front seat, or when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-off state, and the vehicle door lock is not locked, the method further comprises:

[0017] Turning off the electrical device that can only be controlled by a hard key switch and is currently in an on state.

[0018] Preferably, the preset voltage is a pre-calibrated value or a value manually adjusted by the user.

[0019] On the other hand, the application also provides a big data-based pre-warning device for preventing the low-voltage storage battery of a vehicle from running out of power, comprising:

[0020] A first acquisition module is configured to acquire the current power-on / off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the state of the vehicle door lock, and the seat pressure data.

[0021] The warning module is used to output a warning to the user terminal when it is determined that the vehicle's low-voltage battery is about to run out of power based on the vehicle's current power-on / off status, remaining power of the power battery, low-voltage battery voltage, door lock status, and seat pressure data.

[0022] Preferably, the early warning module includes:

[0023] The first early warning unit is used to output an early warning prompt to the user terminal suggesting that the low voltage battery charge should be charged when the low voltage battery voltage is less than the preset voltage and remains so for a preset time, when the vehicle is powered on, and when the remaining power battery charge is less than the preset charge.

[0024] The second warning unit is used to output a warning message to the user terminal suggesting that the vehicle start or the low-voltage battery be charged when the low-voltage battery voltage is less than the preset voltage and remains so for a preset duration, when the vehicle is powered off, or when there is someone in the front seat; or when the low-voltage battery voltage is less than the preset voltage and remains so for a preset duration, when the vehicle is powered off, or when the door lock is not locked.

[0025] Preferably, when the low-voltage battery voltage is less than a preset voltage and remains so for a preset duration, the vehicle is powered on, and the remaining charge of the power battery is less than a preset charge, the device further includes:

[0026] The second acquisition module is used to acquire the real-time location of the vehicle;

[0027] The recommendation module is used to identify repair shops within a preset distance range from the vehicle based on the vehicle's real-time location and recommend the identified repair shop information to the user terminal.

[0028] On the other hand, this application also provides a control device, including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein when the program or instructions are executed by the processor, the steps of the above-described big data-based vehicle low-voltage battery depletion warning method are implemented.

[0029] On the other hand, this application also provides a vehicle that uploads data on the vehicle's current power-on / off status, remaining power of the power battery, low-voltage battery voltage, door lock status, and seat pressure to a cloud platform, enabling the cloud platform to execute the aforementioned big data-based vehicle low-voltage battery depletion warning method.

[0030] The beneficial effects of this invention are as follows:

[0031] Once it's confirmed that the low-voltage battery is about to run out of power, a warning message will be pushed to the user's terminal (such as a mobile app), reminding the user to start the vehicle or charge it in time to recharge the low-voltage battery. This warning mechanism allows users to know the status of the low-voltage battery in advance, preventing them from ignoring the issue of a low-voltage battery due to the convenience of the seamless start-up method. By analyzing the vehicle's real-time status data through an algorithm model on a cloud platform, the low-voltage battery status can be determined more accurately, and users can be notified in a timely manner. Attached Figure Description

[0032] Figure 1 This is a flowchart illustrating the vehicle low-voltage battery power depletion early warning method based on big data in the embodiments of this application.

[0033] Figure 2 This is a flowchart illustrating the vehicle low-voltage battery power depletion early warning method based on big data in the embodiments of this application.

[0034] Figure 3 This is a flowchart illustrating the vehicle low-voltage battery power depletion early warning method based on big data in the embodiments of this application.

[0035] Figure 4 This is a flowchart illustrating the vehicle low-voltage battery power depletion early warning method based on big data in the embodiments of this application.

[0036] Figure 5 This is a flowchart illustrating the vehicle low-voltage battery power depletion early warning method based on big data in the embodiments of this application.

[0037] Figure 6 This is a flowchart illustrating the vehicle low-voltage battery power depletion early warning method based on big data in the embodiments of this application.

[0038] Figure 7 This is a structural block diagram of the vehicle low-voltage battery depletion warning device based on big data in the embodiments of this application. Detailed Implementation

[0039] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings. While the description is quite detailed, it should not be construed as limiting the scope of the present invention. Obvious variations and substitutions of the following examples are all within the scope of protection of this patent.

[0040] Because the seamless start method lacks intuitive feedback, users are unaware of the low-voltage battery's depletion, leading to continued vehicle use when the battery is low. This can ultimately cause the vehicle to fail to start, increasing roadside assistance and causing user complaints. To address this, this application provides a big data-based method for early warning of low-voltage battery depletion. This method, based on real-time vehicle status data, analyzes the vehicle's status and, if it detects that the low-voltage battery is about to deplete, pushes a warning message to the user's terminal (such as a mobile app), reminding the user to promptly start the vehicle or charge it, thus charging the low-voltage battery. This warning mechanism allows users to be aware of the low-voltage battery's status in advance, preventing them from ignoring the issue of low-voltage battery depletion due to the convenience of the seamless start method.

[0041] Reference Figure 1 The vehicle low-voltage battery depletion warning method based on big data in this application embodiment includes:

[0042] S101. Obtain the vehicle's current power-on / off status, remaining power battery charge, low-voltage battery voltage, door lock status, and seat pressure data.

[0043] S102. When it is confirmed that the low-voltage battery of the vehicle is about to run out of power based on the vehicle's current power-on / off status, the remaining power of the power battery, the low-voltage battery voltage, the door lock status, and seat pressure data, a warning prompt is output to the user terminal.

[0044] The vehicle's power-on / off status refers to whether the vehicle's power system is active, such as whether the vehicle is powered on, started, idling, or turned off. The vehicle's electronic control unit (ECU) determines whether the vehicle is powered on or off based on information such as the status of the vehicle's keyless start switch and motor speed.

[0045] The Battery Management System (BMS) monitors parameters such as voltage, current, and temperature of the power battery in real time and calculates the remaining power battery capacity (SOC, State of Charge).

[0046] Low-voltage battery voltage refers to the voltage of a vehicle's auxiliary battery (12V lead-acid or lithium-ion battery), which is typically used to start the engine and power the vehicle's electronic equipment. The low-voltage battery voltage is measured directly by the vehicle's voltage sensors.

[0047] The door lock status refers to whether each door of the vehicle is locked or unlocked. Each door is equipped with a lock sensor, which detects whether the door is locked.

[0048] Seat pressure data refers to whether there is a passenger in the vehicle seat, detected by pressure sensors installed on the seat.

[0049] Ultimately, the vehicle's real-time status data is sent to the cloud platform via vehicle-to-everything (V2X) technology.

[0050] In this embodiment of the application, step S102 includes:

[0051] S1021. When the low-voltage battery voltage is lower than the preset voltage and remains at the preset duration, the vehicle is powered on, and the remaining power battery charge is lower than the preset charge, output a warning prompt to the user terminal suggesting that the low-voltage battery charge be charged.

[0052] S1022. When the low-voltage battery voltage is lower than the preset voltage and remains so for a preset duration, when the vehicle is powered off, or when there is someone in the front seat, or when the low-voltage battery voltage is lower than the preset voltage and remains so for a preset duration, when the vehicle is powered off, or when the door lock is not locked, output a warning message to the user terminal suggesting that the vehicle start or the low-voltage battery be charged when the low-voltage battery power is low.

[0053] In condition S1021, the vehicle is currently in an emergency situation where the low-voltage battery is about to run out of power and the remaining power battery is also low. For example, for electric or hybrid vehicles: prolonged idling in congested traffic prevents the alternator from effectively charging the low-voltage battery; prolonged use of electrical equipment such as the air conditioner, audio system, and headlights increases the burden on the low-voltage battery, leading to its impending depletion.

[0054] In step S1021, a warning message is sent to the user terminal suggesting that the vehicle be started or the low-voltage battery be charged if the low-voltage battery power is low. This allows the user to charge the vehicle's power battery or take the vehicle to a repair shop for repair before the low-voltage battery is completely depleted, thus preventing the low-voltage battery from being completely depleted.

[0055] In step S1022, for scenarios where the low-voltage battery voltage is lower than the preset voltage and remains so for a preset duration, the vehicle is powered off, and there are people in the front seats, since the vehicle is powered off, it indicates that the occupants may have forgotten to turn off the headlights, audio system, air conditioning, or other electrical equipment, causing the low-voltage battery charge to continue to decrease. At this time, a warning message is output to the user terminal suggesting starting the vehicle or charging the low-voltage battery because the low-voltage battery charge is low. The user can then promptly turn off any electrical equipment that has not been turned off, reducing the loss of low-voltage battery charge. The user can also start the vehicle to use the alternator to charge the low-voltage battery.

[0056] Similarly, in step S1022, when the low-voltage battery voltage is lower than the preset voltage and remains so for a preset duration, the vehicle is powered off, and the door locks are not locked, in this scenario, since the vehicle is powered off, it indicates that the occupants may have forgotten to turn off the hazard warning lights, headlights, audio system, air conditioning, or other electrical equipment, causing the low-voltage battery charge to continue to decrease. At this time, by outputting a warning prompt to the user terminal suggesting starting the vehicle or charging the low-voltage battery when the low-voltage battery charge is low, the user can promptly turn off any electrical equipment that has not been turned off, reducing the loss of low-voltage battery charge; the user can also start the vehicle to use the alternator to charge the low-voltage battery.

[0057] In this embodiment, for the scenario in step S1021, repair shop information can also be pushed to the user terminal to help the user quickly recharge the low-voltage battery. At this time, the real-time location of the vehicle is obtained; based on the vehicle's real-time location, repair shops within a preset distance range of the vehicle are identified, and the identified repair shop information is recommended to the user terminal. The user selects a suitable repair shop based on the repair shop information and contacts it, thereby receiving assistance quickly.

[0058] In the scenario of step S1022, considering that current vehicles are typically equipped with a one-button power-off switch, this button cannot turn off electrical devices that can only be turned on and off via a physical key switch. For example, hazard warning lights can only be controlled by a physical key switch. In this case, the power consumption of the low-voltage battery can be reduced by actively turning off these electrical devices that can only be controlled by a physical key switch and are currently in the on state.

[0059] Furthermore, considering that different users have different levels of anxiety about the remaining voltage of low-voltage batteries, in this embodiment of the application, the preset voltage can be set to a pre-calibrated value or a value manually adjusted by the user, so as to provide early warning prompts based on the voltage threshold manually adjusted by the user, thereby improving the user experience.

[0060] In this embodiment of the application, the following rules are provided for outputting warning prompts to the user terminal:

[0061] Rule 1: For example Figure 2 The message push process occurs when the vehicle is powered on and the remaining power of the vehicle's power battery is low, and the battery voltage is low.

[0062] In step S201, the cloud platform determines whether the vehicle's power supply is on. If the determination is yes, it jumps to step S202; if the determination is no, it jumps to step S201 to continue the determination.

[0063] In step S202, determine whether the remaining power battery charge is less than or equal to the preset charge. If the determination is yes, proceed to step S203. If the determination is no, proceed to step S202 to continue the determination.

[0064] In step S203, determine whether the low-voltage battery voltage remains below the preset voltage U1 for a preset duration t1. If the determination is yes, proceed to step S204. If the determination is no, proceed to step S203 to continue the determination.

[0065] Step S204: A message is pushed to the user terminal APP: "Low voltage battery power is low. Please charge the low voltage battery in time."

[0066] Rule 2: such as Figure 3 The message push process when the vehicle is powered off, there is someone in the driver's seat, and the battery voltage is low.

[0067] In step S301, the cloud platform determines whether the vehicle's power supply is on. If the determination is no, it proceeds to step S302. If the determination is yes, it proceeds to step S301 to continue the determination.

[0068] Step S302: Determine if there is someone in the driver's seat. If yes, proceed to step S303. If no, proceed to step S302 to continue the determination.

[0069] Step S303: Determine if the low-voltage battery voltage remains below the preset voltage U1 for a preset duration t1. If the determination is yes, proceed to step S33. If the determination is no, proceed to step S32 to continue the determination.

[0070] Step S304: A message is pushed to the user terminal APP: "Low voltage battery power is low. Please charge the low voltage battery or start the vehicle in time."

[0071] Rule 3: such as Figure 4 The message push process when the vehicle is powered off, there is someone in the passenger seat, and the battery voltage is low.

[0072] Step 401: The cloud platform determines whether the vehicle's power supply is on. If the determination is no, proceed to step S402. If the determination is yes, proceed to step S401 to continue the determination.

[0073] In step S402, determine whether there is someone in the passenger seat by checking if the passenger seat pressure exceeds the set pressure. If yes, proceed to step S403. If no, proceed to step S402 to continue the determination.

[0074] Step S403: Determine if the low-voltage battery voltage remains below the preset voltage U1 for a preset duration t1. If the determination is yes, proceed to step S404. If the determination is no, proceed to step S403 to continue the determination.

[0075] Step S404: A message is pushed to the user terminal APP: "Low voltage battery power is low. Please charge the low voltage battery or start the vehicle in time."

[0076] Rule 4: For example Figure 5 The message push process when the vehicle is powered off, the driver's side door is locked, and the battery voltage is low.

[0077] Step 501: The cloud platform determines whether the vehicle's power supply is on. If the determination is no, proceed to step S502. If the determination is yes, proceed to step S501 to continue the determination.

[0078] Step S502: Determine whether the driver's side door lock is locked. If the determination is yes, proceed to step S503. If the determination is no, proceed to step S502 to continue the determination.

[0079] In step S504, determine whether the low-voltage battery voltage remains below the preset voltage U1 for a preset duration t1. If the determination is yes, proceed to step S504. If the determination is no, proceed to step S503 to continue the determination.

[0080] Step S504: A message is pushed to the user terminal APP: "Low voltage battery power is low. Please charge the low voltage battery or start the vehicle in time."

[0081] Rule 5: For example Figure 6 The message push process when the vehicle is powered off, the passenger-side door is locked, and the battery voltage is low.

[0082] Step 601: The cloud platform determines whether the vehicle's power supply is on. If the determination is no, proceed to step S602. If the determination is yes, proceed to step S601 to continue the determination.

[0083] Step S602: Determine whether the passenger-side door lock is locked. If the determination is yes, proceed to step S603. If the determination is no, proceed to step S602 to continue the determination.

[0084] In step S603, determine whether the low-voltage battery voltage remains below the preset voltage U1 for a preset duration t1. If the determination is yes, proceed to step S604. If the determination is no, proceed to step S603 to continue the determination.

[0085] Step S604: A message is pushed to the user terminal APP: "Low voltage battery power is low. Please charge or start the vehicle in time."

[0086] On the other hand, refer to Figure 7 This application also provides a big data-based early warning device for preventing low-voltage battery depletion in vehicles, comprising:

[0087] The first acquisition module 701 is used to acquire the vehicle's current power-on / off status, remaining power of the power battery, low-voltage battery voltage, door lock status, and seat pressure data.

[0088] The warning module 702 is used to output a warning prompt to the user terminal when it is confirmed that the low-voltage battery of the vehicle is about to run out of power based on the vehicle's current power-on / off status, the remaining power of the power battery, the low-voltage battery voltage, the door lock status, and seat pressure data.

[0089] Preferably, the early warning module 702 includes:

[0090] The first early warning unit is used to output an early warning prompt to the user terminal suggesting that the low voltage battery charge should be charged when the low voltage battery voltage is less than the preset voltage and remains so for a preset time, when the vehicle is powered on, and when the remaining power battery charge is less than the preset charge.

[0091] The second warning unit is used to output a warning message to the user terminal suggesting that the vehicle start or the low-voltage battery be charged when the low-voltage battery voltage is less than the preset voltage and remains so for a preset duration, when the vehicle is powered off, or when there is someone in the front seat; or when the low-voltage battery voltage is less than the preset voltage and remains so for a preset duration, when the vehicle is powered off, or when the door lock is not locked.

[0092] When the low-voltage battery voltage is lower than a preset voltage and remains so for a preset duration, the vehicle is powered on, and the remaining charge of the power battery is lower than a preset charge, the device further includes:

[0093] Preferably, the second acquisition module is used to acquire the real-time location of the vehicle;

[0094] The recommendation module is used to identify repair shops within a preset distance range from the vehicle based on the vehicle's real-time location and recommend the identified repair shop information to the user terminal.

[0095] On the other hand, this application also provides a control device, including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein when the program or instructions are executed by the processor, the steps of the above-described big data-based vehicle low-voltage battery depletion warning method are implemented.

[0096] On the other hand, this application also provides a vehicle that uploads data on the vehicle's current power-on / off status, remaining power of the power battery, low-voltage battery voltage, door lock status, and seat pressure to a cloud platform, enabling the cloud platform to execute the aforementioned big data-based vehicle low-voltage battery depletion warning method.

[0097] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0098] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0099] It should also be noted that, in this document, the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or component referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, relational terms such as "first" and "second" are used to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations, nor should they be construed as indicating or implying relative importance. Moreover, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements does not include those elements, but also includes other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes the element.

[0100] The technical solution provided by this invention has been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this invention. The descriptions of the above embodiments are only for the purpose of helping to understand this invention, and the content of this specification should not be construed as a limitation of this invention. Furthermore, for those skilled in the art, there will be different forms of changes in the specific implementation methods and application scope based on this invention. It is neither necessary nor possible to exhaustively list all implementation methods here, but obvious changes or modifications derived therefrom are still within the protection scope of this invention.

Claims

1. A big data-based vehicle low-voltage storage battery power shortage early warning method, characterized in that, The method comprises the following steps: acquiring the current power-on / off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the door lock state of the vehicle door, and the seat pressure data; when it is determined according to the current power-on / off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the door lock state of the vehicle door, and the seat pressure data that the low-voltage storage battery of the vehicle is about to run out, outputting a pre-warning prompt to the user terminal; the step of outputting a pre-warning prompt to the user terminal when it is determined according to the current power-on / off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the door lock state of the vehicle door, and the seat pressure data that the low-voltage storage battery of the vehicle is about to run out comprises the following steps: when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-on state, and the remaining power of the power battery is less than a preset power, outputting a pre-warning prompt to the user terminal to suggest charging the low-voltage storage battery due to the low power of the low-voltage storage battery; when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-off state, and there is someone in the front seats, or when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-off state, and the vehicle door is not locked, outputting a pre-warning prompt to the user terminal to suggest starting the vehicle or charging the low-voltage storage battery due to the low power of the low-voltage storage battery.

2. The big data based vehicle low voltage battery run down early warning method according to claim 1, characterized in that, when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-on state, and the remaining power of the power battery is less than a preset power, the method further comprises the following steps: acquiring the real-time position of the vehicle; according to the real-time position of the vehicle, identifying a repair shop within a preset distance range from the vehicle, and recommending the identified repair shop information to the user terminal.

3. The big data based vehicle low voltage battery run down early warning method according to claim 1, characterized in that, when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-off state, and there is someone in the front seats, or when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-off state, and the vehicle door is not locked, the method further comprises the following step: turning off the electrical device that can only be turned on and off by the hard key switch and is currently in the on state.

4. The big data based vehicle low voltage battery depletion warning method according to any one of claims 1-3, characterized in that, The preset voltage is a preset value or a value manually adjusted by the user.

5. A low-voltage battery power loss prevention early warning device based on big data, characterized in that, The method comprises the following steps: a first acquisition module, configured to acquire the current power-on / off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the door lock state of the vehicle door, and the seat pressure data; a pre-warning module, configured to output a pre-warning prompt to the user terminal when it is determined according to the current power-on / off state of the vehicle, the remaining power of the power battery, the voltage of the low-voltage storage battery, the door lock state of the vehicle door, and the seat pressure data that the low-voltage storage battery of the vehicle is about to run out; the pre-warning module comprises the following steps: a first pre-warning unit, configured to output a pre-warning prompt to the user terminal to suggest charging the low-voltage storage battery due to the low power of the low-voltage storage battery when the voltage of the low-voltage storage battery is less than a preset voltage and maintains the preset time length, the vehicle is in the power-on state, and the remaining power of the power battery is less than a preset power. The second early warning unit is configured to output a low-voltage storage battery power low suggestion start vehicle or charge the low-voltage storage battery early warning prompt to the user terminal when the low-voltage storage battery voltage is less than the preset voltage and maintains the preset time length, the vehicle is in the powered-off state, and the front seat is occupied, or when the low-voltage storage battery voltage is less than the preset voltage and maintains the preset time length, the vehicle is in the powered-off state, and the vehicle door lock is not locked.

6. The big data based vehicle low voltage battery run down early warning device according to claim 5, characterized in that, When the low-voltage storage battery voltage is less than the preset voltage and maintains the preset time length, the vehicle is in the powered-on state, and the power battery remaining power is less than the preset power, the device further comprises: The second acquisition module is configured to acquire the real-time position of the vehicle. The recommendation module is configured to identify a repair shop within a preset distance range from the vehicle according to the real-time position of the vehicle, and recommend the identified repair shop information to the user terminal.

7. A control device characterized by comprising: The processor, the memory, and the program or instructions stored on the memory and executable on the processor, when executed by the processor, implement the steps of the big data-based vehicle low-voltage storage battery power loss early warning method according to any one of claims 1-4.

8. A vehicle characterized by comprising: The processor, the memory, and the program or instructions stored on the memory and executable on the processor, when executed by the processor, implement the steps of the big data-based vehicle low-voltage storage battery power loss early warning method according to any one of claims 1-4. The processor, the memory, and the program or instructions stored on the memory and executable on the processor, when executed by the processor, implement the steps of the big data-based vehicle low-voltage storage battery power loss early warning method according to any one of claims 1-4.

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