A vehicle internet-based remote control system and method for automobile equipment

Abstract

The application discloses a kind of vehicle equipment remote control system and method based on Internet of Vehicles, it is related to Internet of Things technical field, historical data of new energy vehicle driving is collected, reference data is filtered from historical data, is stored in the server of data management platform, the use record of the battery of target vehicle is obtained, use record is uploaded to data management platform, and the use of battery is evaluated through data management platform, when battery state evaluation result is qualified, battery state data is backed up to data management platform, after battery state data backup is completed, target vehicle is powered off, when target vehicle is powered on again, the current battery state data of target vehicle is collected and sent to data management platform, the current battery state data and the backup battery state data are compared, whether the starting state of target vehicle exists abnormity is judged, and the evaluation result of the starting state of target vehicle is fed back to receiving terminal.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of Internet of Things, and particularly relates to a vehicle internet of things based automobile equipment remote control system and method. BACKGROUND

[0002] In a new energy vehicle system mainly using electric energy, a storage battery plays an important role, and with the increase of storage battery capacity and energy density, a degraded storage battery cannot meet daily use and may have a security risk, so monitoring of a storage battery health state is increasingly important.

[0003] When a new energy vehicle is not used for a long time, due to battery aging and environmental influence during storage, a battery management system of the new energy vehicle locally has an error in battery power statistics, which easily causes a sharp decrease of battery power during driving, and causes inconvenience to drivers and passengers. SUMMARY

[0004] The present application aims to provide a vehicle internet of things based automobile equipment remote control system and method to solve the problems in the prior art.

[0005] To achieve the above object, the present application provides the following technical scheme: a vehicle internet of things based automobile equipment remote control method, the method comprising:

[0006] Step S100: collecting historical data of new energy vehicle driving, screening reference data from the historical data, and storing the reference data in a server of a data management platform;

[0007] Step S200: taking a new energy vehicle as a target vehicle, obtaining a use record of a battery of the target vehicle when the target vehicle receives a vehicle power-off instruction, uploading the use record to the data management platform, and evaluating the battery through the data management platform;

[0008] Step S300: when the battery state evaluation result is qualified, collecting battery state data of the target vehicle, backing up the battery state data to the data management platform, and powering off the target vehicle after the backup of the battery state data is completed;

[0009] Step S400: when the target vehicle is powered on again, collecting current battery state data of the target vehicle and sending the current battery state data to the data management platform, comparing the current battery state data with the backed up battery state data, and judging whether a start state of the target vehicle is abnormal;

[0010] Step S500: feeding back an evaluation result of the start state of the target vehicle to a receiving terminal, and giving an alarm prompt when the battery state is unqualified.

[0011] Further, the step S100 comprises:

[0012] Step S101: collecting the driving record of the new energy vehicle, classifying the driving record according to the road conditions of the new energy vehicle driving, collecting the function relationship between the remaining battery capacity and the vehicle driving time under different road conditions, and obtaining the battery capacity change function of various road conditions;

[0013] Step S102: obtaining the voltage drop value of the battery when the new energy vehicle is initially started, recording the voltage drop value as a voltage drop reference value, obtaining the initial internal resistance of the battery of the new energy vehicle, and combining the initial internal resistance and the voltage drop reference value to form a numerical reference group, and the correspondence between the new energy vehicle and the numerical reference group is stored in the server of the data management platform.

[0014] Further, the step S200 comprises:

[0015] Step 201: taking the moment when the target vehicle receives the vehicle closing instruction as the target termination moment, taking the power-on moment closest to the target termination moment in the list as the target starting moment, and taking the time period from the target starting moment to the target termination moment as the target time period;

[0016] Wherein, power-on refers to the process of the new energy vehicle from the stop state to the start state, and in the power-on process, the battery management system connects the output circuit of the battery to provide power supply to the motor controller and other electrical equipment;

[0017] Step 202: obtaining the driving record of the target vehicle in the target time period, taking the road condition information in the driving record as the target road condition, and matching the battery capacity change function corresponding to the target road condition in the data management platform;

[0018] Step 203: obtaining the remaining capacity of the battery of the target vehicle at the target starting moment, taking the remaining capacity as the initial capacity, obtaining the time length of the driving record, obtaining the battery capacity remaining value according to the battery capacity change function corresponding to the target road condition, recording the battery capacity remaining value as the reference capacity, and recording the difference between the initial capacity and the reference capacity as the reference power consumption E1;

[0019] Step 204: obtaining the remaining capacity of the battery of the target vehicle at the target termination moment, taking the remaining capacity as the actual remaining capacity, and recording the difference between the initial capacity and the actual remaining capacity as the actual power consumption E2;

[0020] Step 205: calculating the capacity retention rate CR, CR=(E2-E1) / E1;

[0021] 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 target vehicle battery through the battery management system of the target vehicle, calculate the internal resistance growth rate IG of the target vehicle, IG = (r1-r0) / r0;

[0022] By analyzing the change of the internal resistance of the battery, the increase of the internal resistance generally indicates the aging degree of the battery, and the internal resistance of the battery will increase with the use of the battery;

[0023] Step 207: Divide the battery of the target vehicle into several unit areas, obtain the temperature values of all unit areas at the target termination time, calculate the variance of the temperature values, denoted as Var;

[0024] Local heating of the battery during operation will affect the safe use of the battery. By detecting whether the battery heats evenly during operation, it is shown that the temperature variance of the unit area increases.

[0025] Further, step S300 comprises:

[0026] Step 301: Calculate the battery state evaluation value H of the target vehicle, H = ω1*CR + ω2*IG + ω3*Var, wherein ω1, ω2 and ω3 are coefficients of the capacity retention rate, the internal resistance growth rate and the variance of the temperature value, respectively, satisfying the condition ω1+ω2+ω3=1, and ω1>0, ω2>0, ω3>0;

[0027] Combined with the use of the battery in the recent period of time and the historical use, the health status of the new energy vehicle battery can be comprehensively and accurately evaluated, which provides a basis for the safe operation of the vehicle and the maintenance of the battery;

[0028] Step 302: Set a judgment threshold Q1, when H < Q1, the battery state evaluation result is qualified, and the battery state data collection instruction is fed back to the target vehicle, the battery state data including: the voltage, current, temperature and state of charge of the battery, the backup battery state data of the target vehicle is recorded as backup state data;

[0029] The state of charge, namely SOC, is the ratio of the remaining capacity to the rated capacity under a certain discharge rate;

[0030] Step 303: When H>Q1, the battery state evaluation result is unqualified, and the battery state feedback is abnormal.

[0031] Further, step S400 comprises:

[0032] Step S401: set a time threshold T0, obtain the time of re-powering, when the time interval between the time and the target termination time is greater than T0, and there is no charging record of the target vehicle in the time interval, record the power-on process of the target vehicle as the target start;

[0033] Step S402: after the target start is completed, obtain the battery state data of the target battery, record the battery state data as the current state data, calculate the difference between the backup state data and the current state data, and record the difference as the difference evaluation value D;

[0034] Step S403: obtain the voltage drop value v1 of the target start of the target vehicle and the voltage drop reference value v0 of the target vehicle, calculate the difference evaluation coefficient a, a= (v1-v0) / v0;

[0035] When the battery is powered, the internal chemical reaction generates electric energy, and when the battery is externally connected to the load, it will cause a certain internal resistance drop in the battery. With the aging of the battery, the internal resistance increases, and the greater the internal resistance, the greater the voltage drop generated by the battery during discharge, thereby causing the drop of the battery terminal voltage;

[0036] Step S404: calculate the start state evaluation value F, F= a x D, when F is greater than the evaluation threshold Q2, it is judged that the start state of the target vehicle is abnormal.

[0037] Further, step S500 includes:

[0038] Step S501: when the start state of the target vehicle is abnormal, the data management platform feeds back the evaluation result to the vehicle-mounted terminal of the vehicle, and displays the information that the start state is abnormal through the instrument panel or central control screen of the vehicle;

[0039] Step S502: the data management platform pushes the alarm information to the mobile terminal of the owner of the target vehicle through the ways of short message and software push.

[0040] In order to better realize the above method, an automobile equipment remote control system based on Internet of Vehicles is also proposed, which includes a data management module, a battery evaluation module, a backup data management module, a start detection module and an information prompting module. The data management module is used for managing reference data, the battery evaluation module is used for obtaining the use record of the target vehicle and evaluating the battery of the target vehicle, the backup data management module is used for managing the backup data of the battery state data, the start detection module is used for comparing the current battery state data with the backup battery state data to judge whether the start state of the target vehicle is abnormal, and the information prompting module is used for alarming when the battery state is unqualified;

[0041] Further, the data management module comprises a data platform management unit, a historical data management unit and a reference data management unit, wherein the data platform management unit is configured to manage the data management platform, the historical data management unit is configured to manage the driving record and the battery usage record of the new energy vehicle, and the reference data management unit is configured to manage the reference data obtained from the historical data;

[0042] Further, the battery evaluation module comprises 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 configured to obtain a target termination time and a target starting time, and manage the target time period, the driving record management unit is configured 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 configured 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 configured to obtain the internal resistance reference value and the current internal resistance, and calculate the internal resistance growth rate, and the temperature distribution management unit is configured to obtain the temperature values of all unit areas of the battery, and calculate the variance of all temperature values;

[0043] Further, the backup data management module comprises a battery state evaluation unit, a battery state judgment unit and a first information feedback unit, wherein the battery state evaluation unit is configured to calculate the battery state evaluation value of the target vehicle, the battery state judgment unit is configured to judge whether the battery state of the target vehicle is qualified, and the first information feedback unit is configured to feed back the information of whether the battery is qualified to the target vehicle;

[0044] Further, the start detection module comprises 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 configured to obtain the target start according to the judgment condition of the target start, the evaluation value management unit is configured to calculate the difference degree evaluation value, the evaluation coefficient management unit is configured to calculate the difference evaluation coefficient, and the start state evaluation unit is configured to calculate the start state evaluation value, and judge whether the start state of the target vehicle is abnormal according to the comparison result of the start state evaluation value and the evaluation threshold;

[0045] Further, the information prompting module comprises a second information feedback unit and an information synchronization unit, wherein the second information feedback unit is configured to feed back the evaluation result to the vehicle-mounted terminal of the vehicle, and the information synchronization unit is configured to synchronously send the alarm prompt to the mobile terminal of the vehicle owner.

[0046] Compared with the prior art, the beneficial effects of the present application are that by monitoring and evaluating the battery state when the vehicle is turned off and started, and combining the data storage and analysis capabilities of the cloud platform, the health status of the new energy vehicle battery can be mastered in real time, potential faults can be found in time, safety hazards can be timely warned before the vehicle enters driving, the safety and reliability of the vehicle are improved, and the influence on the new energy vehicle driver and passenger caused by the change of battery performance is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 FIG. 1 is a structural schematic diagram of a vehicle equipment remote control system based on the Internet of Vehicles according to the present application;

[0048] Figure 2 FIG. 2 is a flowchart of a vehicle equipment remote control method based on the Internet of Vehicles according to the present application. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0050] Embodiment: As shown in FIGS. 1 and 2, the present application provides a technical solution, a vehicle equipment remote control system and method based on the Internet of Vehicles, the method comprising: Figure 1 and Figure 2 As shown in FIGS. 1 and 2, the present application provides a technical solution, a vehicle equipment remote control system and method based on the Internet of Vehicles, the method comprising:

[0051] Step S100: collecting historical data of new energy vehicle driving, screening reference data from the historical data, and storing the reference data in the server of the data management platform;

[0052] In the step S100, the following steps are included:

[0053] Step S101: collecting driving records of the new energy vehicle, classifying the driving records according to the road conditions of the new energy vehicle driving, collecting the functional relationship between the remaining battery capacity and the vehicle driving time under different road conditions, and obtaining the battery capacity change function under various road conditions;

[0054] Step S102: obtaining the voltage drop value of the battery when the new energy vehicle is initially started, recording the voltage drop value as a voltage drop reference value, obtaining the initial internal resistance of the new energy vehicle battery, and combining the initial internal resistance and the voltage drop reference value to form a numerical reference group, and storing the correspondence between the new energy vehicle and the numerical reference group in the server of the data management platform.

[0055] Step S200: A new energy vehicle is taken as a target vehicle, when the target vehicle receives a vehicle power-off instruction, a use record of a battery of the target vehicle is acquired, the use record is uploaded to a data management platform, and the battery is evaluated by the data management platform;

[0056] The step S200 comprises:

[0057] Step 201: A moment when the target vehicle receives a vehicle closing instruction is taken as a target termination moment, a power-on moment closest to the target termination moment in a list is taken as a target starting moment, and a time period from the target starting moment to the target termination moment is taken as a target time period;

[0058] Step 202: A driving record of the target vehicle in the target time period is acquired, road condition information in the driving record is taken as a target road condition, and an electric quantity change function corresponding to the target road condition is matched in the data management platform;

[0059] Step 203: A remaining electric quantity of the battery of the target vehicle at the target starting moment is acquired, the remaining electric quantity is taken as an initial electric quantity, a time length of the driving record is acquired, a battery electric quantity remaining value is obtained according to the electric quantity change function corresponding to the target road condition, the battery electric quantity remaining value is taken as a reference electric quantity, and a difference between the initial electric quantity and the reference electric quantity is taken as a reference electric quantity E1;

[0060] Step 204: A remaining electric quantity of the battery of the target vehicle at the target termination moment is acquired, the remaining electric quantity is taken as an actual remaining electric quantity, and a difference between the initial electric quantity and the actual remaining electric quantity is taken as an actual electric quantity E2;

[0061] Step 205: A capacity retention rate CR is calculated, CR=(E2-E1) / E1;

[0062] Step 206: An initial internal resistance of the target vehicle is acquired, the initial internal resistance is taken as an internal resistance reference value r0, a current internal resistance r1 of the battery of the target vehicle is acquired through a battery management system of the target vehicle, an internal resistance growth rate IG of the target vehicle is calculated, IG=(r1-r0) / r0;

[0063] Step 207: The battery of the target vehicle is divided into a plurality of unit regions, temperature values of all the unit regions at the target termination moment are acquired, a variance of the temperature values is calculated and taken as Var.

[0064] Step S300: When the battery state evaluation result is qualified, battery state data of the target vehicle is collected, the battery state data is backed up to the data management platform, and the target vehicle is powered off after the battery state data backup is completed;

[0065] In an embodiment, the collected usage records and status data are uploaded to the cloud platform through the communication module of the vehicle, which adopts wireless communication technology such as 4G, 5G or NB-IoT to ensure the stability and security of data transmission;

[0066] 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;

[0067] Step S300 includes:

[0068] Step 301: Calculate the battery status evaluation value H of the target vehicle, H = ω1 × CR + ω2 × IG + ω3 × Var, where ω1, ω2 and ω3 are coefficients of the capacity retention rate, the internal resistance growth rate and the variance of the temperature value, respectively, satisfying the condition ω1 + ω2 + ω3 = 1, and ω1 > 0, ω2 > 0, ω3 > 0;

[0069] In an embodiment, one way of calculating H is, for example: H = 0.5 × CR + 0.3 × IG + 0.2 × Var;

[0070] Step 302: Set a judgment threshold Q1, when H < Q1, the battery status evaluation result is qualified, and the battery status data collection instruction is fed back to the target vehicle, the battery status data including: the voltage, current, temperature and state of charge of the battery, and the backup battery status data of the target vehicle is recorded as backup state data;

[0071] Step 303: When H > Q1, the battery status evaluation result is unqualified, and the target vehicle is fed back that the battery status is abnormal.

[0072] 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 and the backup battery status data are compared to determine whether the starting state of the target vehicle is abnormal;

[0073] Step S400 includes:

[0074] Step S401: Set a time threshold T0, and obtain the time when the target vehicle is powered on again. When the time interval between the time and the target termination time is greater than T0, and there is no charging record in the time interval, the power-on process of the target vehicle is recorded as the target start;

[0075] Step S402: After the target start is completed, the battery status data of the target battery is obtained, and the battery status data is recorded as the current state data. The difference between the backup state data and the current state data is calculated, and the difference is recorded as the difference evaluation value D;

[0076] In an embodiment, the backup state data of the same item of battery state data is denoted as b1, and the current state data is denoted as b2, and a difference degree evaluation value d1 = b1-b2 is calculated;

[0077] If there are n items of battery state data, D = åd , wherein d i represents the i-th item of battery state data;

[0078] Step S403: Obtain the voltage drop value v1 of the target start of the target vehicle and the voltage drop reference value v0 of the target vehicle, and calculate a difference evaluation coefficient a, a = (v1-v0) / v0;

[0079] In an embodiment, the voltage drop value is the numerical value of the voltage drop value. For example, the open circuit voltage of the battery is 20V, and after the load is connected, the battery voltage is 19.5V, and the voltage drop value is 0.5V.

[0080] Step S404: Calculate a start state evaluation value F, F = a x D, and when F is greater than an evaluation threshold Q2, it is determined that the start state of the target vehicle is abnormal.

[0081] Step S500: The evaluation result of the start state of the target vehicle is fed back to the receiving terminal, and when the battery state is detected to be unqualified, an alarm prompt is given;

[0082] The step S500 includes:

[0083] Step S501: When the start state of the target vehicle is abnormal, the data management platform feeds back the evaluation result to the vehicle-mounted terminal of the vehicle, and displays information that the start state is abnormal through the instrument panel or the central control screen of the vehicle.

[0084] Step S502: The data management platform pushes the alarm information to the mobile terminal of the owner of the target vehicle through the modes of short message and software push.

[0085] The system includes a data management module, a battery evaluation module, a backup data management module, a start detection module, and an information prompting module.

[0086] The data management module is used for managing reference data, and includes a data platform management unit, a historical data management unit, and a reference data management unit. The data platform management unit is used for managing the data management platform, the historical data management unit is used for managing the driving record and the battery use record of the new energy vehicle, and the reference data management unit is used for managing the reference data obtained from the historical data.

[0087] The battery evaluation module is configured to obtain the use record of the target vehicle and evaluate the battery of the target vehicle. The battery evaluation module comprises 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 configured to obtain a target termination time and a target starting time and manage a target time period. The driving record management unit is configured to obtain the driving record of the target vehicle in the target time period and obtain an electric quantity change function corresponding to a target road condition. The capacity retention rate management unit is configured to obtain a reference electric quantity and an actual electric quantity, and calculate a capacity retention rate. The internal resistance growth rate management unit is configured to obtain an internal resistance reference value and a current internal resistance, and calculate an internal resistance growth rate. The temperature distribution management unit is configured to obtain the temperature value of all unit areas of the battery, and calculate the variance of all temperature values.

[0088] The backup data management module is configured to manage the backup data of the battery state data. The backup data management module comprises a battery state evaluation unit, a battery state judgment unit, and a first information feedback unit. The battery state evaluation unit is configured to calculate the battery state evaluation value of the target vehicle. The battery state judgment unit is configured to judge whether the battery state of the target vehicle is qualified. The first information feedback unit is configured to feed back the information of whether the battery is qualified to the target vehicle.

[0089] The start detection module is configured to compare the current battery state data and the backup battery state data, and judge whether the start state of the target vehicle is abnormal. The start detection module comprises a target start management unit, an evaluation value management unit, an evaluation coefficient management unit, and a start state evaluation unit. The target start management unit is configured to obtain the target start according to the judgment condition of the target start. The evaluation value management unit is configured to calculate the difference degree evaluation value. The evaluation coefficient management unit is configured to calculate the difference evaluation coefficient. The start state evaluation unit is configured to calculate the start state evaluation value. According to the comparison result of the start state evaluation value and the evaluation threshold, it is judged that the start state of the target vehicle is abnormal.

[0090] The information prompting module is configured to give an alarm prompt when it is detected that the battery state is unqualified. The information prompting module comprises a second information feedback unit and an information synchronization unit. The second information feedback unit is configured to feed back the evaluation result to the vehicle-mounted terminal of the vehicle. The information synchronization unit is configured to synchronously send the alarm prompt to the mobile terminal of the vehicle owner.

[0091] It will be apparent to those skilled in the art that the application is not limited to the details of the above-exemplified embodiments and that the present application can be implemented in other particular forms without departing from the spirit or essential characteristics of the present application. The embodiments should therefore be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the above description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. No reference signs in the claims should be considered as limiting the scope of the claims with respect to the figures of the patent document.

Claims

1. A vehicle internet of things (V-IoT) based remote control method for automotive equipment, the method comprising: The method comprises the steps of: Step S100: collecting historical data of new energy vehicle driving, screening 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, obtaining a use record of a battery of the target vehicle after the target vehicle receives a vehicle power-off instruction, uploading the use record to the data management platform, and evaluating the battery by using the data management platform; Step S200 comprises: Step 201: taking a moment when the target vehicle receives a vehicle shutdown instruction as a target termination moment, taking a power-on moment closest to the target termination moment as a target starting moment, and taking a time period from the target starting moment to the target termination moment as a target time period; Step 202: obtaining a driving record of the target vehicle in the target time period, taking road condition information in the driving record as a target road condition, and matching an electric quantity change function corresponding to the target road condition in the data management platform; Step 203: obtaining a remaining electric quantity of the battery of the target vehicle at the target starting moment, taking the remaining electric quantity as an initial electric quantity, obtaining a time length of the driving record, obtaining a battery electric quantity remaining value according to the electric quantity change function corresponding to the target road condition, taking the battery electric quantity remaining value as a reference electric quantity, and taking a difference between the initial electric quantity and the reference electric quantity as a reference electric quantity E1; Step 204: obtaining a remaining electric quantity of the battery of the target vehicle at the target termination moment, taking the remaining electric quantity as an actual remaining electric quantity, and taking a difference between the initial electric quantity and the actual remaining electric quantity as an actual electric quantity E2; Step 205: calculating a capacity retention rate CR, CR=(E2-E1) / E1; Step 206: obtaining an initial internal resistance of the target vehicle, taking the initial internal resistance as an internal resistance reference value r0, obtaining a current internal resistance r1 of the battery of the target vehicle through a battery management system of the target vehicle, calculating an internal resistance growth rate IG of the target vehicle, IG=(r1-r0) / r0; Step 207: dividing the battery of the target vehicle into a plurality of unit regions, obtaining temperature values of all the unit regions at the target termination moment, and calculating a variance of the temperature values, denoted as Var; Step S300: calculating a battery state evaluation value through the capacity retention rate, the internal resistance growth rate, and the variance of the temperature values, collecting battery state data of the target vehicle when the battery state evaluation result is qualified, backing up the battery state data to the data management platform, and powering off the target vehicle after the backup of the battery state data is completed; Step S400: collecting current battery state data of the target vehicle and sending the current battery state data to the data management platform when the target vehicle is powered on again, comparing the current battery state data with the backed-up battery state data, and determining whether a starting state of the target vehicle is abnormal; Step S500: feeding back an evaluation result of the starting state of the target vehicle to a receiving terminal, and giving an alarm prompt when it is detected that the battery state is unqualified. 2.The vehicle-to-everything-based remote control method of an automobile device according to claim 1, characterized in that: Step S100 comprises: Step S101: collect the driving record of the new energy vehicle, classify the driving record according to the road conditions of the new energy vehicle, and collect the function relationship between the remaining battery capacity and the vehicle driving time under different road conditions to obtain 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 a voltage drop reference value, obtain the initial internal resistance of the battery of the new energy vehicle, and combine the initial internal resistance and the voltage drop reference value to form a numerical reference group. The correspondence between the new energy vehicle and the numerical reference group is stored in the server of the data management platform. 3.The vehicle-to-everything-based remote control method of an automobile device according to claim 2, 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, wherein ω1, ω2 and ω3 are coefficients of capacity retention rate, internal resistance growth rate and temperature value variance, satisfying the condition ω1+ω2+ω3=1, and ω1>0, ω2>0, ω3>0; Step 302: set a judgment threshold Q1, when H<Q1, the battery state evaluation result is qualified, and the battery state data collection instruction is fed back to the target vehicle. The battery state data includes: the voltage, current, temperature and state of charge of the battery. The backup battery state data of the target vehicle is recorded as backup state data; Step 303: when H>Q1, the battery state evaluation result is unqualified, and the battery state of the target vehicle is fed back to the target vehicle. 4.The vehicle-to-everything-based remote control method of an automobile device according to claim 3, characterized in that: Step S400 includes: Step S401: set a time threshold T0, obtain the time when the power is turned on again, and when the time interval between the time and the target termination time is greater than T0, and there is no charging record in the time interval, the power-on process of the target vehicle is recorded as the target start; Step S402: after the target start is completed, the battery state data of the target battery is obtained, the battery state data is recorded as the current state data, the difference between the backup state data and the current state data is calculated, and the difference is recorded as the difference evaluation value D; Step S403: obtain the voltage drop value v1 of the target start 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; Step S404: calculate the start state evaluation value F, F=α×D, when F is greater than the evaluation threshold Q2, it is judged that the start state of the target vehicle is abnormal. 5.The vehicle-to-everything based remote control method of an automotive device according to claim 4, wherein: Step S500 includes: Step S501: when the start state of the target vehicle is abnormal, the data management platform feeds back the evaluation result to the vehicle-mounted terminal of the vehicle, and displays the information that the start state is abnormal through the instrument panel or central control screen of the vehicle; Step S502: the data management platform pushes the alarm information to the mobile terminal of the owner of the target vehicle through the ways of short message and software push.

6. A vehicle internet of things based remote control system for vehicle equipment, configured to perform the vehicle internet of things based remote control method of any one of claims 1-5. The system includes: Data management module, battery evaluation module, backup data management module, start detection module and information prompting module; The data management module is used for managing reference data, the battery evaluation module is used for obtaining the use record of the target vehicle, evaluating the battery of the target vehicle, the backup data management module is used for managing backup data of the battery state data, the start detection module is used for comparing the current battery state data with the backup battery state data, and judging whether the start state of the target vehicle is abnormal, and the information prompting module is used for alarming and prompting when the battery state is unqualified.

7. The vehicle internet of things based remote control system for automotive equipment according to claim 6, wherein: The data management module comprises a data platform management unit, a historical data management unit and a reference data management unit. The data platform management unit is used for managing a data management platform, the historical data management unit is used for managing the driving record and the battery use record of the new energy vehicle, and the reference data management unit is used for managing reference data obtained from historical data. 8.The vehicle Internet-based remote control system for automobile equipment according to claim 6, characterized in that: The battery evaluation module comprises 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 for obtaining a target termination time and a target starting time, and managing a target time period, the driving record management unit is used for obtaining the driving record of the target vehicle in the target time period, and obtaining a power change function corresponding to the target road condition, the capacity retention rate management unit is used for obtaining reference power consumption and actual power consumption, and calculating a capacity retention rate, the internal resistance growth rate management unit is used for obtaining an internal resistance reference value and a current internal resistance, and calculating an internal resistance growth rate, and the temperature distribution management unit is used for obtaining temperature values of all unit areas of the battery, and calculating the variance of all temperature values. The backup data management module comprises a battery state evaluation unit, a battery state judgment unit and a first information feedback unit. The battery state evaluation unit is used for calculating a battery state evaluation value of the target vehicle, the battery state judgment unit is used for judging whether the battery state of the target vehicle is qualified, and the first information feedback unit is used for feeding back information about whether the battery is qualified to the target vehicle. 9.The vehicle Internet-based remote control system for automotive equipment according to claim 6, wherein: The start detection module comprises a target start management unit, an evaluation value management unit, an evaluation coefficient management unit and a start state evaluation unit. The target start management unit is used for obtaining a target start according to a judgment condition of the target start, the evaluation value management unit is used for calculating a difference degree evaluation value, the battery state data of the target battery is obtained and recorded as current state data, the difference between the backup state data and the current state data is calculated, and the difference is recorded as the difference degree evaluation value, the evaluation coefficient management unit is used for calculating a difference evaluation coefficient, the voltage drop value v1 of the target start of the target vehicle and the voltage drop reference value v0 of the target vehicle are obtained, the difference evaluation coefficient a is calculated, a = (v1-v0) / v0, and the start state evaluation unit is used for calculating a start state evaluation value, wherein the start state evaluation value F is calculated, F = a x D, and whether the start state of the target vehicle is abnormal is judged according to the comparison result of the start state evaluation value and the evaluation threshold. The information prompting module comprises a second information feedback unit and an information synchronization unit. The second information feedback unit is configured to feed back the evaluation result to the vehicle-mounted terminal of the vehicle, and the information synchronization unit is configured to synchronously send the warning prompt to the mobile terminal of the vehicle owner. The second information feedback unit is configured to feed back the evaluation result to the vehicle-mounted terminal of the vehicle, and the information synchronization unit is configured to synchronously send the warning prompt to the mobile terminal of the vehicle owner. The second

Images