Vehicle equipment remote control system and method based on Internet of Vehicles

Abstract

The invention discloses an automobile equipment remote control system and method based on the Internet of Vehicles, and relates to the technical field of the Internet of Things. Historical data of new energy vehicle driving are collected, reference data are screened out from the historical data and stored in a server of a data management platform, and a use record of a battery of a target vehicle is obtained; the use record is uploaded to a data management platform, the use of the battery is evaluated through the data management platform, when the battery state evaluation result is qualified, the battery state data is backed up to the data management platform, after the battery state data is backed up, the target vehicle is powered off, and when the target vehicle is powered on again, the battery state data is backed up. And collecting current battery state data of the target vehicle, sending the current battery state data to the data management platform, comparing the current battery state data with the backup battery state data, judging whether the starting state of the target vehicle is abnormal or not, and feeding back an evaluation result of the starting state of the target vehicle to the receiving terminal.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a remote control system and method for automobile equipment based on Internet of Vehicles. Background Art

[0002] In new energy vehicle systems that mainly rely on electricity, batteries play an important role. As battery capacity and energy density increase, batteries with reduced performance not only cannot meet daily use, but also may pose safety hazards. Therefore, monitoring the health status of batteries becomes increasingly important.

[0003] When new energy vehicles are not used for a long time, due to the aging of the battery itself and the impact of the environment during storage, the local battery management system of the new energy vehicle will have errors in the battery power statistics, which can easily cause the battery power to drop sharply during driving, causing inconvenience to the driver and passengers. Summary of the invention

[0004] The object of the present invention is to provide a remote control system and method for automobile equipment based on Internet of Vehicles to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a remote control method for automobile equipment based on Internet of Vehicles, the method comprising: Step S100: collecting historical data of new energy vehicle driving, filtering out reference data from the historical data, and storing the reference data in a server of a data management platform; Step S200: taking a new energy vehicle as a target vehicle, when the target vehicle receives a vehicle power-off command, obtaining a battery usage record of the target vehicle, uploading the usage record to a data management platform, and performing a battery usage evaluation through the data management platform; Step S300: When the battery status evaluation result is qualified, the target vehicle collects battery status data, backs up the battery status data to the data management platform, and after the battery status data backup is completed, the target vehicle is powered off; Step S400: When the target vehicle is powered on again, the current battery status data of the target vehicle is collected and sent to the data management platform, and the current battery status data is compared with the backup battery status data to determine whether there is any abnormality in the startup state of the target vehicle; Step S500: Feedback the evaluation result of the startup status of the target vehicle to the receiving terminal, and issue an alarm when it is detected that the battery status is unqualified.

[0006] Furthermore, step S100 includes: Step S101: collecting driving records of new energy vehicles, classifying the driving records according to the road conditions on which the new energy vehicles travel, collecting the functional relationship between the remaining battery power and the vehicle driving time under different road conditions, and obtaining the power change function of various road conditions; Step S102: Obtain the voltage drop value of the battery when the new energy vehicle is initially started, record the voltage drop value as the voltage drop reference value, obtain the initial internal resistance of the new energy vehicle battery, and form a numerical reference group with the initial internal resistance and the voltage drop reference value. The correspondence between the new energy vehicle and the numerical reference group is stored in the server of the data management platform.

[0007] Further, step S200 includes: Step 201: The time when the target vehicle receives the vehicle shutdown instruction is used as the target end time, the power-on time closest to the target end time list is used as the target start time, and the time period from the target start time to the target end time is used as the target time period; Among them, power-on refers to the process of new energy vehicles from a stopped state to a started state. During the power-on process, the battery management system connects to the output circuit of the battery to provide power to the motor controller and other electrical equipment; Step 202: Acquire the driving record of the target vehicle in the target time period, use the road condition information in the driving record as the target road condition, and match the power change function corresponding to the target road condition in the data management platform; Step 203: Obtain the remaining power of the battery of the target vehicle at the target starting time, take the remaining power as the initial power, obtain the time length of the driving record, obtain the remaining value of the battery power according to the power change function corresponding to the target road condition, record the remaining value of the battery power as the reference power, and record the difference between the initial power and the reference power as the reference power consumption E1; Step 204: Obtain the remaining power of the battery of the target vehicle at the target termination time, take the remaining power as the actual remaining power, and record the difference between the initial power and the actual remaining power as the actual power consumption E2; Step 205: Calculate the capacity retention rate CR, CR=(E2-E1) / E1; Step 206: Obtain the initial internal resistance of the target vehicle, record the initial internal resistance as the internal resistance reference value r0, obtain the current internal resistance r1 of the battery of the target vehicle through the battery management system of the target vehicle, and calculate the internal resistance growth rate IG of the target vehicle, IG=(r1-r0) / r0; By analyzing the changes in the internal resistance of the battery, the increase in internal resistance usually indicates the aging degree of the battery. As the battery is used, the internal resistance of the battery will increase. Step 207: Divide the battery of the target vehicle into a number of unit areas, obtain the temperature values ​​of all unit areas at the target end time, and calculate the variance of the temperature values, which is recorded as Var; Local heating of the battery during operation will affect the safety of the battery. By detecting whether the battery generates heat evenly during operation, it is manifested as an increase in the temperature variance per unit area.

[0008] Furthermore, step S300 includes: Step 301: Calculate the battery state evaluation value H of the target vehicle, H=ω1×CR+ω2×IG+ω3×Var, where ω1, ω2 and ω3 are coefficients of capacity retention rate, capacity retention rate and variance of temperature value, respectively, satisfying the condition ω1+ω2+ω3=1, and ω1>0, ω2>0, ω3>0; Combining the battery's recent and historical usage, the health status of new energy vehicle batteries can be comprehensively and accurately evaluated, providing a basis for the safe operation of the vehicle and the maintenance of the battery; Step 302: setting a judgment threshold Q1. When H<Q1, the battery status evaluation result is qualified, and a battery status data collection instruction is fed back to the target vehicle. The battery status data includes: battery voltage, current, temperature and charge state. The battery status data backed up by the target vehicle is recorded as backup status data. State of charge, or SOC, refers to the ratio of the remaining capacity of a battery under a certain discharge rate to its rated capacity under that condition. Step 303: When H>Q1, the battery status evaluation result is unqualified, and the abnormal battery status is fed back to the target vehicle.

[0009] Furthermore, step S400 includes: Step S401: Setting a duration threshold T0, obtaining the time of powering on again, when the time interval between the time and the target end time is greater than T0, and there is no charging record for the target vehicle during the time interval, the power-on process of the target vehicle is recorded as target start; Step S402: after the target is started, the battery status data of the target battery is obtained, the battery status data is recorded as the current status data, the difference between the backup status data and the current status data is calculated, and the difference is recorded as the difference evaluation value D; Step S403: obtaining the target start voltage drop value v1 of the target vehicle and the voltage drop reference value v0 of the target vehicle, and calculating the difference evaluation coefficient α, α=(v1-v0) / v0; When the battery is supplying power, it generates electrical energy through chemical reactions inside. When the battery is connected to an external load, it will cause a certain internal resistance voltage drop inside the battery. As the battery ages, the internal resistance increases. The greater the internal resistance, the greater the voltage drop generated by the battery during discharge, which leads to a decrease in the battery terminal voltage. Step S404: Calculate the startup state evaluation value F, F=α×D. When F is greater than the evaluation threshold Q2, it is determined that the startup state of the target vehicle is abnormal.

[0010] Furthermore, step S500 includes: Step S501: When the startup state of the target vehicle is abnormal, the data management platform feeds back the evaluation result to the vehicle's onboard terminal, and displays information indicating that the startup state is abnormal through the vehicle's dashboard or central control screen; Step S502: The data management platform pushes the warning information to the mobile terminal of the owner of the target vehicle via SMS and software push.

[0011] In order to better implement the above method, a remote control system for automobile equipment based on the Internet of Vehicles is also proposed. The system includes: a data management module, a battery evaluation module, a backup data management module, a startup detection module and an information prompt module. The data management module is used to manage reference data. The battery evaluation module is used to obtain the use record of the target vehicle and evaluate the battery of the target vehicle. The backup data management module is used to manage the backup data of the battery status data. The startup detection module is used to compare the current battery status data with the backup battery status data to determine whether there is an abnormality in the startup state of the target vehicle. The information prompt module is used to issue an alarm prompt when it is detected that the battery state is unqualified. Further, the data management module includes: a data platform management unit, a historical data management unit and a reference data management unit, wherein the data platform management unit is used to manage the data management platform, the historical data management unit is used to manage the driving records and battery usage records of new energy vehicles, and the reference data management unit is used to manage the reference data obtained from the historical data; Furthermore, the battery evaluation module includes a target time period management unit, a driving record management unit, a capacity retention rate management unit, an internal resistance growth rate management unit and a temperature distribution management unit, wherein the target time period management unit is used to obtain the target end time and the target start time, and manage the target time period; the driving record management unit is used to obtain the driving record of the target vehicle in the target time period, and obtain the power change function corresponding to the target road condition; the capacity retention rate management unit is used to obtain the reference power consumption and the actual power consumption, and calculate the capacity retention rate; the internal resistance growth rate management unit is used to obtain the internal resistance reference value and the current internal resistance, and calculate the internal resistance growth rate; the temperature distribution management unit is used to obtain the temperature values ​​of all unit areas of the battery, and calculate the variance of all temperature values; Further, the backup data management module includes: a battery status evaluation unit, a battery status judgment unit and a first information feedback unit, wherein the battery status evaluation unit is used to calculate the battery status evaluation value of the target vehicle, the battery status judgment unit is used to judge whether the battery status of the target vehicle is qualified, and the first information feedback unit is used to feedback information on whether the battery is qualified to the target vehicle; Further, the start detection module includes: a target start management unit, an evaluation value management unit, an evaluation coefficient management unit and a start state evaluation unit, wherein the target start management unit is used to obtain the target start according to the judgment condition of the target start, the evaluation value management unit is used to calculate the difference evaluation value, the evaluation coefficient management unit is used to calculate the difference evaluation coefficient, and the start state evaluation unit is used to calculate the start state evaluation value, and according to the comparison result of the start state evaluation value and the evaluation threshold value, it is judged that the start state of the target vehicle is abnormal; Furthermore, the information prompt module includes: a second information feedback unit and an information synchronization unit, wherein the second information feedback unit is used to feed back the evaluation result to the vehicle's on-board terminal, and the information synchronization unit is used to synchronously send the warning prompt to the vehicle owner's mobile terminal.

[0012] Compared with the prior art, the beneficial effects of the present invention are: by monitoring and evaluating the battery status when the vehicle is shut down and started, and combining the data storage and analysis capabilities of the cloud platform, it is possible to grasp the health status of the new energy vehicle battery in real time, discover potential faults in time, and issue timely warnings for safety hazards before the vehicle starts driving, thereby improving the safety and reliability of the vehicle and reducing the impact of changes in battery performance on drivers and passengers of new energy vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a structural schematic diagram of a remote control system for automobile equipment based on Internet of Vehicles of the present invention; Figure 2 The present invention is a flowchart of a method for remotely controlling automobile equipment based on Internet of Vehicles. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] Example: Figure 1 and Figure 2 As shown, the present invention provides a technical solution, a remote control system and method for automobile equipment based on Internet of Vehicles, the method comprising: Step S100: collecting historical data of new energy vehicle driving, filtering out reference data from the historical data, and storing the reference data in a server of a data management platform; Wherein, step S100 includes: Step S101: collecting driving records of new energy vehicles, classifying the driving records according to the road conditions on which the new energy vehicles travel, collecting the functional relationship between the remaining battery power and the vehicle driving time under different road conditions, and obtaining the power change function of various road conditions; Step S102: Obtain the voltage drop value of the battery when the new energy vehicle is initially started, record the voltage drop value as the voltage drop reference value, obtain the initial internal resistance of the new energy vehicle battery, and form a numerical reference group with the initial internal resistance and the voltage drop reference value. The correspondence between the new energy vehicle and the numerical reference group is stored in the server of the data management platform.

[0016] Step S200: taking a new energy vehicle as a target vehicle, when the target vehicle receives a vehicle power-off command, obtaining a battery usage record of the target vehicle, uploading the usage record to a data management platform, and performing a battery usage evaluation through the data management platform; Wherein, step S200 includes: Step 201: The time when the target vehicle receives the vehicle shutdown instruction is used as the target end time, the power-on time closest to the target end time list is used as the target start time, and the time period from the target start time to the target end time is used as the target time period; Step 202: Acquire the driving record of the target vehicle in the target time period, use the road condition information in the driving record as the target road condition, and match the power change function corresponding to the target road condition in the data management platform; Step 203: Obtain the remaining power of the battery of the target vehicle at the target starting time, take the remaining power as the initial power, obtain the time length of the driving record, obtain the remaining value of the battery power according to the power change function corresponding to the target road condition, record the remaining value of the battery power as the reference power, and record the difference between the initial power and the reference power as the reference power consumption E1; Step 204: Obtain the remaining power of the battery of the target vehicle at the target termination time, take the remaining power as the actual remaining power, and record the difference between the initial power and the actual remaining power as the actual power consumption E2; Step 205: Calculate the capacity retention rate CR, CR=(E2-E1) / E1; Step 206: Obtain the initial internal resistance of the target vehicle, record the initial internal resistance as the internal resistance reference value r0, obtain the current internal resistance r1 of the battery of the target vehicle through the battery management system of the target vehicle, and calculate the internal resistance growth rate IG of the target vehicle, IG=(r1-r0) / r0; Step 207: Divide the battery of the target vehicle into a number of unit areas, obtain the temperature values ​​of all unit areas at the target end time, and calculate the variance of the temperature values, which is recorded as Var.

[0017] Step S300: When the battery status evaluation result is qualified, the target vehicle collects battery status data, backs up the battery status data to the data management platform, and after the battery status data backup is completed, the target vehicle is powered off; In an embodiment, the collected usage records and status data are uploaded to the cloud platform through the vehicle's communication module, and the communication module uses wireless communication technology, such as 4G, 5G or NB-IoT, to ensure the stability and security of data transmission; After receiving the uploaded data, the data management platform performs data storage and preliminary processing, including data formatting, denoising and outlier processing, to ensure the integrity and accuracy of the data; Wherein, step S300 includes: Step 301: Calculate the battery state evaluation value H of the target vehicle, H=ω1×CR+ω2×IG+ω3×Var, where ω1, ω2 and ω3 are coefficients of capacity retention rate, capacity retention rate and variance of temperature value, respectively, satisfying the condition ω1+ω2+ω3=1, and ω1>0, ω2>0, ω3>0; In an embodiment, a calculation method of H is as follows: H=0.5×CR+0.3×IG+0.2×Var; Step 302: setting a judgment threshold Q1. When H<Q1, the battery status evaluation result is qualified, and a battery status data collection instruction is fed back to the target vehicle. The battery status data includes: battery voltage, current, temperature and charge state. The battery status data backed up by the target vehicle is recorded as backup status data. Step 303: When H>Q1, the battery status evaluation result is unqualified, and the abnormal battery status is fed back to the target vehicle.

[0018] Step S400: When the target vehicle is powered on again, the current battery status data of the target vehicle is collected and sent to the data management platform, and the current battery status data is compared with the backup battery status data to determine whether there is any abnormality in the startup state of the target vehicle; Wherein, step S400 includes: Step S401: Setting a duration threshold T0, obtaining the time of powering on again, when the time interval between the time and the target end time is greater than T0, and there is no charging record for the target vehicle during the time interval, the power-on process of the target vehicle is recorded as target start; Step S402: After the target startup is completed, obtain the battery status data of the target battery, record the battery status data as the current status data, calculate the difference between the backup status data and the current status data, and record the difference as the difference evaluation value D; In the embodiment, the backup status data of the same battery status data is recorded as b1, the current status data is recorded as b2, and the difference evaluation value d is calculated 1 = b1 - b2; If there are n items of battery status data, D = , where d i represents the i-th item of battery status data; Step S403: Obtain the voltage drop value v1 of the target startup of the target vehicle and the voltage drop reference value v0 of the target vehicle, calculate the difference evaluation coefficient α, α = (v1 - v0) / v0; In the embodiment, the voltage drop value takes the numerical value of the voltage drop value. For example, the open-circuit voltage of the battery is 20V. After connecting the load, the battery voltage is 19.5V, and the voltage drop value is 0.5V; Step S404: Calculate the startup status evaluation value F, F = α × D. When F is greater than the evaluation threshold Q2, it is determined that the startup status of the target vehicle is abnormal.

[0019] Step S500: Feed back the evaluation result of the startup status of the target vehicle to the receiving terminal, and when it is detected that the battery status is unqualified, give an alarm prompt; Among them, Step S500 includes: Step S501: When the startup status of the target vehicle is abnormal, the data management platform feeds back the evaluation result to the in-vehicle terminal of the vehicle, and displays the information that the startup status is abnormal through the vehicle's dashboard or central control screen; Step S502: The data management platform pushes the alarm information to the mobile terminal of the owner of the target vehicle by means of text messages and software push.

[0020] The system includes: a data management module, a battery evaluation module, a backup data management module, a startup detection module, and an information prompt module; Among them, the data management module is used to manage reference data. Among them, the data management module includes: a data platform management unit, a historical data management unit, and a reference data management unit. Among them, the data platform management unit is used to manage the data management platform, the historical data management unit is used to manage the driving records and battery usage records of new energy vehicles, and the reference data management unit is used to manage the reference data obtained from historical data; The battery evaluation module is used to obtain the usage record of the target vehicle and evaluate the battery of the target vehicle. The battery evaluation module includes a target time period management unit, a driving record management unit, a capacity retention rate management unit, an internal resistance growth rate management unit and a temperature distribution management unit. The target time period management unit is used to obtain the target end time and the target start time and manage the target time period. The driving record management unit is used to obtain the driving record of the target vehicle in the target time period and obtain the power change function corresponding to the target road condition. The capacity retention rate management unit is used to obtain the reference power consumption and the actual power consumption and calculate the capacity retention rate. The internal resistance growth rate management unit is used to obtain the internal resistance reference value and the current internal resistance and calculate the internal resistance growth rate. The temperature distribution management unit is used to obtain the temperature values ​​of all unit areas of the battery and calculate the variance of all temperature values. The backup data management module is used to manage the backup data of the battery status data, wherein the backup data management module includes: a battery status evaluation unit, a battery status judgment unit and a first information feedback unit, wherein the battery status evaluation unit is used to calculate the battery status evaluation value of the target vehicle, the battery status judgment unit is used to judge whether the battery status of the target vehicle is qualified, and the first information feedback unit is used to feedback information on whether the battery is qualified to the target vehicle; The startup detection module is used to compare the current battery status data with the backup battery status data to determine whether the startup status of the target vehicle is abnormal. The startup detection module includes: a target startup management unit, an evaluation value management unit, an evaluation coefficient management unit and a startup status evaluation unit. The target startup management unit is used to obtain the target startup according to the judgment condition of the target startup. The evaluation value management unit is used to calculate the difference evaluation value. The evaluation coefficient management unit is used to calculate the difference evaluation coefficient. The startup status evaluation unit is used to calculate the startup status evaluation value. According to the comparison result of the startup status evaluation value and the evaluation threshold, it is determined whether the startup status of the target vehicle is abnormal. Among them, the information prompt module is used to issue an alarm prompt when it is detected that the battery status is unqualified, wherein the information prompt module includes: a second information feedback unit and an information synchronization unit, wherein the second information feedback unit is used to feedback the evaluation result to the vehicle's on-board terminal, and the information synchronization unit is used to synchronously send the alarm prompt to the owner's mobile terminal.

[0021] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A remote control method for automobile equipment based on Internet of Vehicles, characterized in that: The method comprises the steps of: Step S100: collecting historical data of new energy vehicle driving, filtering out reference data from the historical data, and storing the reference data in a server of a data management platform; Step S200: taking a new energy vehicle as a target vehicle, when the target vehicle receives a vehicle power-off command, obtaining a battery usage record of the target vehicle, uploading the usage record to a data management platform, and performing a battery usage evaluation through the data management platform; Step S300: When the battery status evaluation result is qualified, the target vehicle collects battery status data, backs up the battery status data to the data management platform, and after the battery status data backup is completed, the target vehicle is powered off; Step S400: When the target vehicle is powered on again, the current battery status data of the target vehicle is collected and sent to the data management platform, and the current battery status data is compared with the backup battery status data to determine whether there is any abnormality in the startup state of the target vehicle; Step S500: Feedback the evaluation result of the startup status of the target vehicle to the receiving terminal, and issue an alarm when it is detected that the battery status is unqualified.

2. The method for remotely controlling automobile equipment based on Internet of Vehicles according to claim 1, characterized in that: Step S100 includes: Step S101: collecting driving records of new energy vehicles, classifying the driving records according to the road conditions on which the new energy vehicles travel, collecting the functional relationship between the remaining battery power and the vehicle driving time under different road conditions, and obtaining the power change function of various road conditions; Step S102: Obtain the voltage drop value of the battery when the new energy vehicle is initially started, record the voltage drop value as the voltage drop reference value, obtain the initial internal resistance of the new energy vehicle battery, and form a numerical reference group with the initial internal resistance and the voltage drop reference value. The correspondence between the new energy vehicle and the numerical reference group is stored in the server of the data management platform.

3. A remote control method for automobile equipment based on Internet of Vehicles according to claim 2, characterized in that: Step S200 includes: Step 201: The time when the target vehicle receives the vehicle shutdown instruction is used as the target end time, the power-on time closest to the target end time list is used as the target start time, and the time period from the target start time to the target end time is used as the target time period; Step 202: Acquire the driving record of the target vehicle in the target time period, use the road condition information in the driving record as the target road condition, and match the power change function corresponding to the target road condition in the data management platform; Step 203: obtaining the remaining power of the battery of the target vehicle at the target starting time, taking the remaining power as the initial power, obtaining the time length of the driving record, obtaining the remaining value of the battery power according to the power change function corresponding to the target road condition, recording the remaining value of the battery power as the reference power, and recording the difference between the initial power and the reference power as the reference power consumption E1; Step 204: obtaining the remaining power of the battery of the target vehicle at the target termination time, taking the remaining power as the actual remaining power, and recording the difference between the initial power and the actual remaining power as the actual power consumption E2; Step 205: Calculate the capacity retention rate CR, CR=(E2-E1) / E1; Step 206: obtaining the initial internal resistance of the target vehicle, recording the initial internal resistance as the internal resistance reference value r0, obtaining the current internal resistance r1 of the battery of the target vehicle through the battery management system of the target vehicle, and calculating the internal resistance growth rate IG of the target vehicle, IG=(r1-r0) / r0; Step 207: Divide the battery of the target vehicle into a number of unit areas, obtain the temperature values ​​of all unit areas at the target end time, and calculate the variance of the temperature values, which is recorded as Var.

4. The method for remotely controlling automobile equipment based on Internet of Vehicles according to claim 3, characterized in that: Step S300 includes: Step 301: Calculate the battery state evaluation value H of the target vehicle, H=ω1×CR+ω2×IG+ω3×Var, where ω1, ω2 and ω3 are coefficients of capacity retention rate, capacity retention rate and variance of temperature value, respectively, satisfying the condition ω1+ω2+ω3=1, and ω1>0, ω2>0, ω3>0; Step 302: setting a judgment threshold Q1. When H<Q1, the battery status evaluation result is qualified, and feeding back a battery status data collection instruction to the target vehicle. The battery status data includes: battery voltage, current, temperature and charge state. The battery status data backed up by the target vehicle is recorded as backup status data. Step 303: When H>Q1, the battery status evaluation result is unqualified, and the abnormal battery status is fed back to the target vehicle.

5. The method for remotely controlling automobile equipment based on Internet of Vehicles according to claim 4, characterized in that: Step S400 includes: Step S401: setting a duration threshold T0, obtaining a power-on time, and when the time interval between the time and the target end time is greater than T0, and there is no charging record for the target vehicle during the time interval, recording the power-on process of the target vehicle as a target start; Step S402: after the target is started, the battery status data of the target battery is obtained, the battery status data is recorded as the current status data, the difference between the backup status data and the current status data is calculated, and the difference is recorded as the difference evaluation value D; Step S403: obtaining the target start voltage drop value v1 of the target vehicle and the voltage drop reference value v0 of the target vehicle, and calculating the difference evaluation coefficient α, α=(v1-v0) / v0; Step S404: Calculate the startup state evaluation value F, F=α×D. When F is greater than the evaluation threshold Q2, it is determined that the startup state of the target vehicle is abnormal.

6. The method for remotely controlling automobile equipment based on Internet of Vehicles according to claim 5, characterized in that: Step S500 includes: Step S501: When the startup state of the target vehicle is abnormal, the data management platform feeds back the evaluation result to the vehicle's onboard terminal, and displays information indicating that the startup state is abnormal through the vehicle's dashboard or central control screen; Step S502: The data management platform pushes the warning information to the mobile terminal of the owner of the target vehicle via SMS and software push.

7. A remote control system for automobile equipment based on the Internet of Vehicles, used to execute a remote control method for automobile equipment based on the Internet of Vehicles according to any one of claims 1 to 6, characterized in that: The system includes: Data management module, battery evaluation module, backup data management module, startup detection module and information prompt module; Among them, the data management module is used to manage reference data, the battery evaluation module is used to obtain the usage record of the target vehicle and evaluate the battery of the target vehicle, the backup data management module is used to manage the backup data of the battery status data, the startup detection module is used to compare the current battery status data with the backup battery status data to determine whether there is any abnormality in the startup status of the target vehicle, and the information prompt module is used to issue an alarm prompt when it detects that the battery status is unqualified.

8. The automobile equipment remote control system based on the Internet of Vehicles according to claim 7, characterized in that: The data management module includes: data platform management unit, historical data management unit and reference data management unit; Among them, the data platform management unit is used to manage the data management platform, the historical data management unit is used to manage the driving records and battery usage records of new energy vehicles, and the reference data management unit is used to manage the reference data obtained from the historical data.

9. The automobile equipment remote control system based on the Internet of Vehicles according to claim 7, characterized in that: The battery evaluation module includes a target time period management unit, a driving record management unit, a capacity retention rate management unit, an internal resistance growth rate management unit and a temperature distribution management unit; Among them, the target time period management unit is used to obtain the target end time and the target start time, and manage the target time period; the driving record management unit is used to obtain the driving record of the target vehicle in the target time period, and obtain the power change function corresponding to the target road condition; the capacity retention rate management unit is used to obtain the reference power consumption and the actual power consumption, and calculate the capacity retention rate; the internal resistance growth rate management unit is used to obtain the internal resistance reference value and the current internal resistance, and calculate the internal resistance growth rate; the temperature distribution management unit is used to obtain the temperature values ​​of all unit areas of the battery, and calculate the variance of all temperature values; The backup data management module includes: a battery status evaluation unit, a battery status judgment unit and a first information feedback unit; Among them, the battery status evaluation unit is used to calculate the battery status evaluation value of the target vehicle, the battery status judgment unit is used to judge whether the battery status of the target vehicle is qualified, and the first information feedback unit is used to feedback information on whether the battery is qualified to the target vehicle.

10. The automobile equipment remote control system based on the Internet of Vehicles according to claim 7, characterized in that: The startup detection module includes: a target startup management unit, an evaluation value management unit, an evaluation coefficient management unit and a startup state evaluation unit; The target startup management unit is used to obtain the target startup according to the judgment condition of the target startup, the evaluation value management unit is used to calculate the difference evaluation value, the evaluation coefficient management unit is used to calculate the difference evaluation coefficient, and the startup state evaluation unit is used to calculate the startup state evaluation value, and according to the comparison result of the startup state evaluation value and the evaluation threshold, it is judged that the startup state of the target vehicle is abnormal; The information prompt module includes: a second information feedback unit and an information synchronization unit; The second information feedback unit is used to feed back the evaluation result to the vehicle-mounted terminal, and the information synchronization unit is used to synchronously send the warning prompt to the mobile terminal of the vehicle owner.

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