A power supply control system and method for an electric vehicle based on a full life cycle

Abstract

The application discloses a kind of power supply control system and method based on full life cycle for electric vehicle, belong to electric vehicle power supply control technical field.The system includes power supply full life cycle module, data cloud center, information interaction module, electric vehicle data analysis module, power supply control module;The output of the power supply full life cycle module is connected with the input of the data cloud center;The output of the data cloud center is connected with the input of the information interaction module;The output of the information interaction module is connected with the input of the electric vehicle data analysis module;The output of the electric vehicle data analysis module is connected with the input of the power supply control module.A kind of power supply control method based on full life cycle for electric vehicle is simultaneously provided, can satisfy the full life cycle monitoring of power supply for electric vehicle, nip in the bud, improve owner experience.

Description

Technical Field

[0001] This invention relates to the field of power control technology for electric vehicles, specifically to a power control system and method for electric vehicles based on the entire life cycle. Background Technology

[0002] Electric vehicles, also known as electric-powered vehicles, are vehicles that use batteries as their energy source. Through components such as controllers and motors, they convert electrical energy into mechanical energy for movement, and speed is controlled by adjusting the current. Currently, electric vehicles primarily use either lead-acid or lithium batteries. When the battery is placed in the electric vehicle, a frame is welded around it to secure it and prevent it from shaking or falling out, which could cause a short circuit and affect its operation.

[0003] In real life, due to the varying smoothness of roads, electric vehicles are subjected to daily bumps and jolting over long-term use. These small bumps can accumulate and cause resonance at the welding points or welding rods of the battery's outer frame, leading to cracks or breaks, loosening of the battery, or tipping over. This can cause the electric vehicle to break down on the road, severely affecting its use. Moreover, since users can only know about this situation when it occurs, they cannot know the internal condition from the outside at other times, making it impossible to prevent problems before they happen. Summary of the Invention

[0004] The purpose of this invention is to provide a power control system and method for electric vehicles based on the entire life cycle, so as to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] A power control system for electric vehicles based on the entire life cycle, the system includes a power life cycle module, a data cloud center, an information interaction module, an electric vehicle data analysis module, and a power control module;

[0007] The power supply lifecycle module is used to construct a power supply lifecycle framework, completing the manufacturing, use, maintenance, and recycling of electric vehicle power supplies; the data cloud center is used to build an interactive platform and store data; the information interaction module is used to enable information interaction between electric vehicle manufacturers, users, and the data cloud center; the electric vehicle data analysis module is used to acquire electric vehicle information, monitor the power supply packaging and welding positions, predict maintenance nodes, and send early warning information based on maintenance nodes; the power supply control module is used to construct maintenance thresholds to realize the recycling and reuse of electric vehicle power supplies.

[0008] The output of the power supply lifecycle module is connected to the input of the data cloud center; the output of the data cloud center is connected to the input of the information interaction module; the output of the information interaction module is connected to the input of the electric vehicle data analysis module; and the output of the electric vehicle data analysis module is connected to the input of the power control module.

[0009] According to the above technical solution, the power supply full life cycle module includes a factory and usage unit, a maintenance unit, and a recycling unit;

[0010] The manufacturing and usage unit is used to construct electric vehicle nameplate information, obtain user information, and store it in the data cloud center; the maintenance unit is used to obtain maintenance information of the electric vehicle power supply and record it in the data cloud center; the recycling unit is used to construct maintenance thresholds, determine whether the electric vehicle power supply can be recycled, and uniformly deliver it to the manufacturer for reasonable reuse.

[0011] The output of the factory and user unit is connected to the data cloud center; the output of the maintenance unit is connected to the data cloud center; and the output of the recycling unit is connected to the user port.

[0012] According to the above technical solution, the information interaction module includes an information interconnection unit and an interaction unit;

[0013] The information interconnection unit is used to build a connection channel between the manufacturer, the data cloud center, and the user port; the interaction unit is used to realize information communication between the manufacturer, the data cloud center, and the user port to avoid data silos.

[0014] The output of the information interconnection unit is connected to the input of the interaction unit; the output of the interaction unit is connected to the input of the electric vehicle data analysis module.

[0015] According to the above technical solution, the electric vehicle data analysis module includes an electric vehicle information data acquisition unit, an analysis unit, and a prediction unit;

[0016] The electric vehicle information data acquisition unit is used to acquire electric vehicle information data; the analysis unit is used to analyze the electric vehicle information data, construct a tire pressure standard model, obtain accurate tire pressure data values, and acquire road bump information based on the accurate tire pressure data values; the prediction unit is used to construct a prediction model, predict the safety value of the power supply package welding position based on data analysis, and determine whether to issue a maintenance warning.

[0017] The output of the electric vehicle information data acquisition unit is connected to the input of the analysis unit; the output of the analysis unit is connected to the input of the prediction unit; and the output of the prediction unit is connected to the user port and the input of the power control module.

[0018] According to the above technical solution, the power control module includes a threshold judgment unit and a recycling unit;

[0019] The threshold judgment unit is used to construct a maintenance threshold to determine whether the power supply for electric vehicles needs to be recycled; the recycling and reuse unit is used to deliver the recycled power supply to the manufacturer for reasonable reuse.

[0020] The output of the threshold judgment unit is connected to the input of the recycling unit; the output of the recycling unit is connected to the manufacturer's port.

[0021] A power supply control method for electric vehicles based on the entire life cycle, the method comprising the following steps:

[0022] S1. Construct a power supply lifecycle framework, which includes manufacturing, use, maintenance, and recycling. Based on the framework, construct three mechanisms, which include a manufacturing and use mechanism, a maintenance mechanism, and a recycling and reuse mechanism.

[0023] S2. Obtain electric vehicle information data based on the factory usage mechanism, construct a data cloud center, and realize information interaction between the data cloud center and the user port;

[0024] S3. Obtain tire pressure data, and based on the electric vehicle information data, obtain vehicle speed, segmented mileage, and load information data, and calculate the tire pressure data error.

[0025] S4. Obtain accurate tire pressure data, construct a transformation function, calculate the road bumpiness, and store the walking path for subsequent analysis.

[0026] S5. Based on the maintenance mechanism, a prediction model is constructed to predict the safety value of the power package soldering position, and based on the safety value threshold, it is determined whether to send maintenance information.

[0027] S6. Based on the recycling and reuse mechanism, a recycling information reminder is sent to the electric vehicle power supply that has exceeded the maintenance threshold. After successful recycling, it is delivered to the manufacturer for reasonable reuse.

[0028] According to the above technical solution, in step S1, the factory use mechanism is used to obtain electric vehicle nameplate data and establish a connection between the manufacturer port, user port, and data cloud center; the maintenance mechanism is used to determine whether the electric vehicle needs maintenance and send early warning information; the recycling and reuse mechanism is used to establish maintenance thresholds and manage recycling and reuse.

[0029] According to the above technical solution, steps S2-S3 further include:

[0030] Obtain tire pressure data;

[0031] Construct wheel sampling points, where each wheel sampling point is a fixed point on the wheel, and each two consecutive times a wheel sampling point touches the ground is recorded as a cycle;

[0032] Obtain data on the speed, segmented mileage, and load of electric vehicles;

[0033] Construct a tire pressure data error function to calculate the amount of tire pressure data error:

[0034]

[0035] Where k1, k2, and k3 represent the influence coefficients of vehicle speed, segmented mileage, and load information data on tire pressure, respectively; x0 represents the standardized vehicle speed, which is 20 km / h for electric bicycles and 40 km / h for electric vehicles; s represents the tire circumference; and P1 represents the tire pressure data error.

[0036] There is a certain relationship between tire pressure data and vehicle speed. For example, when the vehicle speed is between 40 and 100 km / h, the increase in tire pressure data is greater than when the vehicle speed exceeds 100 km / h. That is, the tangent of the growth curve gradually decreases. This application constructs a correlation function with e as the base to express its growth trend. In segmented mileage, calculations are performed in cycles, with each cycle representing a fixed influence. In load information data, calculations can be performed directly on the load information, because it grows linearly. The greater the load, the greater the tire pressure data, and the greater the error.

[0037] Set the speed difference threshold to x4;

[0038] The vehicle speed is continuously collected in each cycle until the difference between the maximum and minimum vehicle speeds exceeds the speed difference threshold. The mileage at this point is recorded as x2, and each process of acquiring x2 is recorded as one cycle.

[0039] The average value of all vehicle speeds collected within mileage x2 is calculated and denoted as x1.

[0040] By continuously collecting load information data in each cycle, the mode of the load information data within mileage x2 is obtained as x3.

[0041] According to the above technical solution, steps S4-S5 further include:

[0042] Formula for constructing accurate tire pressure data:

[0043] P0 = P2 - P1

[0044] Where P0 is the accurate value of the tire pressure data; P2 is the collected tire pressure data;

[0045] Construct the transformation function:

[0046]

[0047] Where m0 represents the degree of bumpiness of the road surface. The transformation function is an increasing function.

[0048] Construct an influence function, wherein the influence function is a logarithmic function and the base c is in the range of 0. <c<1:

[0049] Q = log c m0

[0050] Where Q is the safe value of the power supply package soldering position under the degree of road bumps;

[0051] As the number of bumps and the mileage increase, the safety value of the power supply package soldering position gradually decreases.

[0052] The Holt linear trend model is used for prediction primarily because the dataset exhibits a trend. A trend refers to the increasing or decreasing nature of the data. Because each data point is added to the existing data during continuous use, it doesn't form a cycle but rather continuously degrades. For example, if the mileage of an electric vehicle continuously increases, then we can observe that the wear and tear on the vehicle is also continuously increasing. Therefore, the safety value of the power supply package welding position cannot be predicted based on the initial value, but must be added to the past value after each use. Thus, this method is used to further improve the system's accuracy.

[0053] Construct horizontal smoothing equations and trend smoothing equations to predict trends;

[0054] The horizontal smoothing equation is:

[0055] l t =αx t +(1-α)(l t-1 +b t-1 )

[0056] The trend smoothing equation is:

[0057] b t =β(l t -l t-1 )+(1-β)b t-1

[0058] Construct a prediction equation based on the horizontal smoothing equation and the trend smoothing equation:

[0059] x t+h =l t +hb t

[0060] Where t is the current period of the cycle; α is the smoothing parameter for the horizontal trend; β is the smoothing parameter for the trend; x t+h This is the predicted value for period h, i.e., the safe value for the power package soldering position in period h; x t This is the actual value for period t, i.e., the safe value for the power supply package soldering position in period t; t b is the estimated level for period t; t represents the predicted trend for period t; h represents the number of potential hazard periods that can be set systematically.

[0061] Construct a security threshold x min ;

[0062] If there is a predicted value lower than x min If so, maintenance information will be sent to the user's port to remind the user to perform maintenance.

[0063] Step S6 also includes:

[0064] The construction and maintenance threshold is L;

[0065] Obtain information data on electric vehicles whose maintenance count exceeds L from the data cloud center, establish a connection with the vehicle owner, and send a power recycling reminder;

[0066] Acquire all recycled power sources, establish connections with manufacturers, and deliver them for proper reuse.

[0067] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0068] This invention constructs a full lifecycle framework for electric vehicle power supplies, establishing multiple mechanisms to manage them from manufacturing, use, maintenance to recycling. It builds a data cloud center to enable multi-party information exchange; utilizes electric vehicle information data to obtain vehicle speed, segmented mileage, and load information; calculates accurate tire pressure values; constructs a conversion function to obtain road bump levels; and based on the maintenance mechanism, builds a predictive model to predict the safety values ​​of the power supply's encapsulation welding positions, further preventing potential problems and avoiding short circuits caused by unexpected situations while driving, which could severely impact travel. Simultaneously, a recycling and reuse mechanism is established, issuing recycling reminders for electric vehicle power supplies that have exceeded maintenance thresholds. Successful recycling ensures the power supply is delivered to the manufacturer for reasonable reuse, meeting the national sustainable development strategy. Attached Figure Description

[0069] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0070] Figure 1 This is a flowchart illustrating a power control system and method for electric vehicles based on the entire life cycle of the present invention.

[0071] Figure 2 This is a schematic diagram illustrating the steps of a power supply control method for electric vehicles based on the entire life cycle according to the present invention. Detailed Implementation

[0072] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0073] Please see Figures 1-2 The present invention provides the following technical solution:

[0074] A power control system for electric vehicles based on the entire life cycle, the system includes a power life cycle module, a data cloud center, an information interaction module, an electric vehicle data analysis module, and a power control module;

[0075] The power supply lifecycle module is used to construct a power supply lifecycle framework, completing the manufacturing, use, maintenance, and recycling of electric vehicle power supplies; the data cloud center is used to build an interactive platform and store data; the information interaction module is used to enable information interaction between electric vehicle manufacturers, users, and the data cloud center; the electric vehicle data analysis module is used to acquire electric vehicle information, monitor the power supply packaging and welding positions, predict maintenance nodes, and send early warning information based on maintenance nodes; the power supply control module is used to construct maintenance thresholds to realize the recycling and reuse of electric vehicle power supplies.

[0076] The output of the power supply lifecycle module is connected to the input of the data cloud center; the output of the data cloud center is connected to the input of the information interaction module; the output of the information interaction module is connected to the input of the electric vehicle data analysis module; and the output of the electric vehicle data analysis module is connected to the input of the power control module.

[0077] The power supply lifecycle module includes a factory and usage unit, a maintenance unit, and a recycling unit;

[0078] The manufacturing and usage unit is used to construct electric vehicle nameplate information, obtain user information, and store it in the data cloud center; the maintenance unit is used to obtain maintenance information of the electric vehicle power supply and record it in the data cloud center; the recycling unit is used to construct maintenance thresholds, determine whether the electric vehicle power supply can be recycled, and uniformly deliver it to the manufacturer for reasonable reuse.

[0079] The output of the factory and user unit is connected to the data cloud center; the output of the maintenance unit is connected to the data cloud center; and the output of the recycling unit is connected to the user port.

[0080] The information interaction module includes an information interconnection unit and an interaction unit;

[0081] The information interconnection unit is used to build a connection channel between the manufacturer, the data cloud center, and the user port; the interaction unit is used to realize information communication between the manufacturer, the data cloud center, and the user port to avoid data silos.

[0082] The output of the information interconnection unit is connected to the input of the interaction unit; the output of the interaction unit is connected to the input of the electric vehicle data analysis module.

[0083] The electric vehicle data analysis module includes an electric vehicle information data acquisition unit, an analysis unit, and a prediction unit.

[0084] The electric vehicle information data acquisition unit is used to acquire electric vehicle information data; the analysis unit is used to analyze the electric vehicle information data, construct a tire pressure standard model, obtain accurate tire pressure data values, and acquire road bump information based on the accurate tire pressure data values; the prediction unit is used to construct a prediction model, predict the safety value of the power supply package welding position based on data analysis, and determine whether to issue a maintenance warning.

[0085] The output of the electric vehicle information data acquisition unit is connected to the input of the analysis unit; the output of the analysis unit is connected to the input of the prediction unit; and the output of the prediction unit is connected to the user port and the input of the power control module.

[0086] The power control module includes a threshold judgment unit and a recycling unit;

[0087] The threshold judgment unit is used to construct a maintenance threshold to determine whether the power supply for electric vehicles needs to be recycled; the recycling and reuse unit is used to deliver the recycled power supply to the manufacturer for reasonable reuse.

[0088] The output of the threshold judgment unit is connected to the input of the recycling unit; the output of the recycling unit is connected to the manufacturer's port.

[0089] A power supply control method for electric vehicles based on the entire life cycle, the method comprising the following steps:

[0090] S1. Construct a power supply lifecycle framework, which includes manufacturing, use, maintenance, and recycling. Based on the framework, construct three mechanisms, which include a manufacturing and use mechanism, a maintenance mechanism, and a recycling and reuse mechanism.

[0091] S2. Obtain electric vehicle information data based on the factory usage mechanism, construct a data cloud center, and realize information interaction between the data cloud center and the user port;

[0092] S3. Obtain tire pressure data, and based on the electric vehicle information data, obtain vehicle speed, segmented mileage, and load information data, and calculate the tire pressure data error.

[0093] S4. Obtain accurate tire pressure data, construct a transformation function, calculate the road bumpiness, and store the walking path for subsequent analysis.

[0094] S5. Based on the maintenance mechanism, a prediction model is constructed to predict the safety value of the power package soldering position, and based on the safety value threshold, it is determined whether to send maintenance information.

[0095] S6. Based on the recycling and reuse mechanism, a recycling information reminder is sent to the electric vehicle power supply that has exceeded the maintenance threshold. After successful recycling, it is delivered to the manufacturer for reasonable reuse.

[0096] In step S1, the factory use mechanism is used to acquire electric vehicle nameplate data and establish a connection between the manufacturer's port, the user's port, and the data cloud center; the maintenance mechanism is used to determine whether the electric vehicle needs maintenance and send early warning information; the recycling mechanism is used to establish maintenance thresholds and manage recycling.

[0097] Steps S2-S3 also include:

[0098] Obtain tire pressure data;

[0099] Construct wheel sampling points, where each wheel sampling point is a fixed point on the wheel, and each two consecutive times a wheel sampling point touches the ground is recorded as a cycle;

[0100] Obtain data on the speed, segmented mileage, and load of electric vehicles;

[0101] Construct a tire pressure data error function to calculate the amount of tire pressure data error:

[0102]

[0103] Where k1, k2, and k3 represent the influence coefficients of vehicle speed, segmented mileage, and load information data on tire pressure, respectively; x0 represents the standardized vehicle speed, which is 20 km / h for electric bicycles and 40 km / h for electric vehicles; s represents the tire circumference; and P1 represents the tire pressure data error.

[0104] Set the speed difference threshold to x4;

[0105] The vehicle speed is continuously collected in each cycle until the difference between the maximum and minimum vehicle speeds exceeds the speed difference threshold. The mileage at this point is recorded as x2, and each process of acquiring x2 is recorded as one cycle.

[0106] The average value of all vehicle speeds collected within mileage x2 is calculated and denoted as x1.

[0107] By continuously collecting load information data in each cycle, the mode of the load information data within mileage x2 is obtained as x3.

[0108] Steps S4-S5 also include:

[0109] Formula for constructing accurate tire pressure data:

[0110] P0 = P2 - P1

[0111] Where P0 is the accurate value of the tire pressure data; P2 is the collected tire pressure data;

[0112] Construct the transformation function:

[0113]

[0114] Where m0 represents the degree of bumpiness of the road surface. The transformation function is an increasing function.

[0115] Construct an influence function, wherein the influence function is a logarithmic function and the base c is in the range of 0. <c<1:

[0116] Q = log c m0

[0117] Where Q is the safe value of the power supply package soldering position under the degree of road bumps;

[0118] As the number of bumps and the mileage increase, the safety value of the power supply package soldering position gradually decreases.

[0119] Construct horizontal smoothing equations and trend smoothing equations to predict trends;

[0120] The horizontal smoothing equation is:

[0121] l t =αxt +(1-α)(l t-1 +b t-1 )

[0122] The trend smoothing equation is:

[0123] b t =β(l t -l t-1 )+(1-β)b t-1

[0124] Construct a prediction equation based on the horizontal smoothing equation and the trend smoothing equation:

[0125] x t+h =l t +hb t

[0126] Where t is the current period of the cycle; α is the smoothing parameter for the horizontal trend; β is the smoothing parameter for the trend; x t+h This is the predicted value for period h, i.e., the safe value for the power package soldering position in period h; x t This is the actual value for period t, i.e., the safe value for the power supply package soldering position in period t; t b is the estimated level for period t; t represents the predicted trend for period t; h represents the number of potential hazard periods that can be set systematically.

[0127] Construct a security threshold x min ;

[0128] If there is a predicted value lower than x min If so, maintenance information will be sent to the user's port to remind the user to perform maintenance.

[0129] Step S6 also includes:

[0130] The construction and maintenance threshold is L;

[0131] Obtain information data on electric vehicles whose maintenance count exceeds L from the data cloud center, establish a connection with the vehicle owner, and send a power recycling reminder;

[0132] Acquire all recycled power sources, establish connections with manufacturers, and deliver them for proper reuse.

[0133] In this embodiment:

[0134] Acquire an electric vehicle and analyze it;

[0135] Obtain tire pressure data;

[0136] Establish wheel-based data collection points and create a loop;

[0137] Obtain data on the speed, segmented mileage, and load of electric vehicles;

[0138] Set the speed difference threshold to x4 = 5 km / h;

[0139] The initial speed of the electric vehicle is set at 25 km / h. The speed is continuously collected in a loop at 26 km / h, 27 km / h, 26 km / h, 27 km / h, 28 km / h, ..., 31 km / h. When the speed reaches 31 km / h for the first time, the difference from the lowest speed of 25 km / h is 6 km / h, which exceeds the speed difference threshold of x4. Therefore, the mileage is established at this point, from the initial speed to the present speed, and recorded as x2.

[0140] The average value of the collected vehicle speeds is then used as x1.

[0141] By continuously collecting load information data in each cycle, the mode of the load information data within mileage x2 is obtained as x3;

[0142] Construct a tire pressure data error function to calculate the amount of tire pressure data error:

[0143]

[0144] Where k1, k2, and k3 represent the influence coefficients of vehicle speed, segmented mileage, and load information data on tire pressure, respectively; x0 represents the standardized vehicle speed, which is 40 km / h in electric vehicles; s represents the tire circumference; and P1 represents the tire pressure data error.

[0145] Formula for constructing accurate tire pressure data:

[0146] P0 = P2 - P1

[0147] Where P0 is the accurate value of the tire pressure data; P2 is the collected tire pressure data;

[0148] Construct the transformation function:

[0149]

[0150] Where m0 represents the degree of bumpiness of the road surface. The transformation function is an increasing function.

[0151] Construct an influence function, wherein the influence function is a logarithmic function and the base c is in the range of 0. <c<1:

[0152] Q = log c m0

[0153] Where Q is the safe value of the power supply package soldering position under the degree of road bumps;

[0154] Construct horizontal smoothing equations and trend smoothing equations to predict trends;

[0155] The horizontal smoothing equation is:

[0156] l t =αx t +(1-α)(l t-1 +b t-1 )

[0157] The trend smoothing equation is:

[0158] b t =β(l t -l t-1 )+(1-β)b t-1

[0159] Construct a prediction equation based on the horizontal smoothing equation and the trend smoothing equation:

[0160] x t+h =l t +hb t

[0161] Where t is the current period of the cycle; α is the smoothing parameter for the horizontal trend; β is the smoothing parameter for the trend; x t+h This is the predicted value for period h, i.e., the safe value for the power package soldering position in period h; x t This is the actual value for period t, i.e., the safe value for the power supply package soldering position in period t; t b is the estimated level for period t; t represents the predicted trend for period t; h represents the number of potential hazard periods that can be set by the system, which is 10.

[0162] That is, the current system can predict the safe value of the power package soldering position 10 periods later;

[0163] Construct a security threshold x min ;

[0164] The current predicted value is found to be no less than x. min Therefore, maintenance information is not sent to the user port.

[0165] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0166] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A power supply control method for electric vehicles based on the entire life cycle, characterized in that: The method includes the following steps: S1. Construct a power supply lifecycle framework, which includes manufacturing, use, maintenance, and recycling. Based on the framework, construct three mechanisms, which include a manufacturing and use mechanism, a maintenance mechanism, and a recycling and reuse mechanism. S2. Obtain electric vehicle information data based on the factory usage mechanism, construct a data cloud center, and realize information interaction between the data cloud center and the user port; S3. Obtain tire pressure data, and based on the electric vehicle information data, obtain vehicle speed, segmented mileage, and load information data, and calculate the tire pressure data error. S4. Obtain accurate tire pressure data, construct a transformation function, calculate the road bumpiness, and store the walking path for subsequent analysis. S5. Based on the maintenance mechanism, a prediction model is constructed to predict the safety value of the power package soldering position, and based on the safety value threshold, it is determined whether to send maintenance information. S6. Based on the recycling and reuse mechanism, a recycling information reminder is sent to the electric vehicle power supply that has exceeded the maintenance threshold. After successful recycling, it is delivered to the manufacturer for reasonable reuse. Steps S2-S3 also include: Obtain tire pressure data; Construct wheel sampling points, where each wheel sampling point is a fixed point on the wheel, and each two consecutive times a wheel sampling point touches the ground is recorded as a cycle; Obtain data on the speed, segmented mileage, and load of electric vehicles; Construct a tire pressure data error function to calculate the amount of tire pressure data error: in, , , These represent the influence coefficients of vehicle speed, segmented mileage, and load information on tire pressure, respectively. Representing a standardized speed, in electric bicycles, At 20 km / h, in electric vehicles, It is 40km / h; Represents the tire circumference; This represents the amount of error in the tire pressure data; Set the speed difference threshold to ; The vehicle speed is continuously collected in each cycle until the difference between the maximum and minimum vehicle speeds exceeds a speed difference threshold. The mileage at this point is recorded as follows. Each time you get one The process is recorded as one cycle; Mileage The average of all vehicle speeds collected internally is calculated and denoted as . ; By continuously collecting load information data in each cycle, mileage can be obtained. The mode of the load information data within is used as ; Steps S4-S5 also include: Formula for constructing accurate tire pressure data: in, This is the accurate value of tire pressure data; The collected tire pressure data; Construct the transformation function: in, It represents the degree of bumpiness on the road surface. The transformation function is an increasing function. Construct an influence function, wherein the influence function is a logarithmic function and the base c has a range of . : Where Q is the safe value of the power supply package soldering position under the degree of road bumps; As the number of bumps and the mileage increase, the safety value of the power supply package soldering position gradually decreases. Construct horizontal smoothing equations and trend smoothing equations to predict trends; The horizontal smoothing equation is: The trend smoothing equation is: Construct a prediction equation based on the horizontal smoothing equation and the trend smoothing equation: in, The current period of the cycle; The smoothing parameter is horizontal; For smoothing the trend; For the first The predicted value for the h-th period, i.e., the safe value for the power package soldering position; For the first The actual value for the period, i.e., the safe value for the power package soldering position in period t; For the first The estimated level for the period; For the first The predicted trend for the period; h is the number of potential hazard periods that can be set by the system; Construct a security value threshold ; If the predicted value is lower than If so, maintenance information will be sent to the user's port to remind the user to perform maintenance.

2. The power supply control method for electric vehicles based on the entire life cycle according to claim 1, characterized in that: In step S1, the factory use mechanism is used to acquire electric vehicle nameplate data and establish a connection between the manufacturer's port, the user's port, and the data cloud center; the maintenance mechanism is used to determine whether the electric vehicle needs maintenance and send early warning information; the recycling mechanism is used to establish maintenance thresholds and manage recycling.

3. The power supply control method for electric vehicles based on the entire life cycle according to claim 2, characterized in that: Step S6 also includes: The construction and maintenance threshold is L; Obtain information data on electric vehicles whose maintenance count exceeds L from the data cloud center, establish a connection with the vehicle owner, and send a power recycling reminder; Acquire all recycled power sources, establish connections with manufacturers, and deliver them for proper reuse.

4. A power supply control system for electric vehicles based on the entire life cycle, used to implement the power supply control method for electric vehicles based on the entire life cycle as described in claim 1, characterized in that: The system includes a power supply lifecycle module, a data cloud center, an information interaction module, an electric vehicle data analysis module, and a power control module; The power supply lifecycle module is used to construct a power supply lifecycle framework to complete the manufacturing, use, maintenance and recycling of power supplies for electric vehicles; the data cloud center is used to build an interactive platform and store data; the information interaction module is used to realize information interaction between electric vehicle manufacturers, users and the data cloud center; the electric vehicle data analysis module is used to acquire electric vehicle information, monitor the packaging and welding position of the electric vehicle power supply, predict maintenance nodes, and send early warning information based on the maintenance nodes. The power control module is used to establish maintenance thresholds to enable the recycling and reuse of power supplies for electric vehicles. The output of the power supply lifecycle module is connected to the input of the data cloud center; the output of the data cloud center is connected to the input of the information interaction module; the output of the information interaction module is connected to the input of the electric vehicle data analysis module; and the output of the electric vehicle data analysis module is connected to the input of the power control module.

5. A power control system for electric vehicles based on the entire life cycle according to claim 4, characterized in that: The power supply lifecycle module includes a factory and usage unit, a maintenance unit, and a recycling unit; The manufacturing and usage unit is used to construct electric vehicle nameplate information, obtain user information, and store it in the data cloud center; the maintenance unit is used to obtain maintenance information of the electric vehicle power supply and record it in the data cloud center; the recycling unit is used to construct maintenance thresholds, determine whether the electric vehicle power supply can be recycled, and uniformly deliver it to the manufacturer for reasonable reuse. The output of the factory and user unit is connected to the data cloud center; the output of the maintenance unit is connected to the data cloud center; and the output of the recycling unit is connected to the user port.

6. A power control system for electric vehicles based on the entire life cycle according to claim 4, characterized in that: The information interaction module includes an information interconnection unit and an interaction unit; The information interconnection unit is used to build a connection channel between the manufacturer, the data cloud center, and the user port; the interaction unit is used to realize information communication between the manufacturer, the data cloud center, and the user port to avoid data silos. The output of the information interconnection unit is connected to the input of the interaction unit; the output of the interaction unit is connected to the input of the electric vehicle data analysis module.

7. A power control system for electric vehicles based on the entire life cycle according to claim 4, characterized in that: The electric vehicle data analysis module includes an electric vehicle information data acquisition unit, an analysis unit, and a prediction unit. The electric vehicle information data acquisition unit is used to acquire electric vehicle information data; the analysis unit is used to analyze the electric vehicle information data, construct a tire pressure standard model, obtain accurate tire pressure data values, and acquire road bump information based on the accurate tire pressure data values; the prediction unit is used to construct a prediction model, predict the safety value of the power supply package welding position based on data analysis, and determine whether to issue a maintenance warning. The output of the electric vehicle information data acquisition unit is connected to the input of the analysis unit; the output of the analysis unit is connected to the input of the prediction unit; and the output of the prediction unit is connected to the user port and the input of the power control module.

8. A power control system for electric vehicles based on the entire life cycle according to claim 4, characterized in that: The power control module includes a threshold judgment unit and a recycling unit; The threshold judgment unit is used to construct a maintenance threshold to determine whether the power supply for electric vehicles needs to be recycled; the recycling and reuse unit is used to deliver the recycled power supply to the manufacturer for reasonable reuse. The output of the threshold judgment unit is connected to the input of the recycling unit; the output of the recycling unit is connected to the manufacturer's port.

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