A new energy vehicle charging control method and system based on wind power generation

Abstract

The application provides a new energy vehicle charging control method and system based on wind power generation, real-time monitoring of wind speed in the driving process of the new energy vehicle; determining the wind turbulence intensity in the driving process of the new energy vehicle according to the monitored wind speed data, predicting the output power of the wind power generator through the wind turbulence intensity, obtaining the predicted output power of the wind power generator; real-time monitoring of the battery terminal voltage of the new energy vehicle, determining the output power control factor based on the battery terminal voltage and the preset uniform charging threshold voltage, using the output power control factor to control the predicted output power of the wind power generator, obtaining the controlled output power of the wind power generator; continuously charging the new energy vehicle battery according to the controlled output power. The above scheme can accurately predict the output power of the wind power generator in the driving process of the new energy vehicle, and accurately control according to the battery state, so as to improve the reliability of the new energy vehicle charging system.

Description

Technical Field

[0001] This application relates to the field of charging control technology, and more specifically, to a charging control method and system for new energy vehicles based on wind power generation. Background Technology

[0002] Wind power-based charging control for new energy vehicles is an innovative energy utilization method that aims to use wind energy generated during vehicle operation to provide additional electrical energy to the vehicle. Its basic principle is to install wind power generation devices on the vehicle body or specific parts (such as the roof, rear, or grille). The wind turbine converts kinetic energy into electrical energy, which is then stably delivered to the battery for charging through rectification and an energy management system. This technology can improve the driving range of new energy vehicles at high speeds or in strong winds, reduce reliance on traditional charging stations, and reduce carbon emissions to some extent.

[0003] However, new energy vehicles operate under varying road and weather conditions, resulting in drastic changes in wind speed and direction. This leads to unstable power output from wind turbines, which can affect the reliability of charging systems and even cause power fluctuations that negatively impact batteries. Furthermore, batteries require high stability in charging current and voltage, while wind power output is significantly affected by wind speed, exhibiting considerable uncertainty. Directly inputting highly volatile electrical energy into batteries could shorten their lifespan and even pose safety risks. Therefore, accurately predicting the output power of wind turbines during new energy vehicle operation and precisely adjusting it based on battery status to improve the reliability of new energy vehicle charging systems remains a significant challenge for the industry. Summary of the Invention

[0004] This application provides a charging control method and system for new energy vehicles based on wind power generation, which can accurately predict the output power of the wind turbine during the operation of new energy vehicles and make precise adjustments according to the battery status to improve the reliability of the charging system for new energy vehicles.

[0005] In a first aspect, this application provides a new energy vehicle charging control method based on wind power generation, the control method comprising the following steps:

[0006] Real-time monitoring of wind speed during the operation of new energy vehicles;

[0007] The wind turbulence intensity during the operation of the new energy vehicle is determined based on the monitored wind speed data. The output power of the wind turbine during the operation of the new energy vehicle is then predicted based on the wind turbulence intensity.

[0008] The battery terminal voltage of the new energy vehicle is monitored in real time. Based on the battery terminal voltage and the preset equalization charging threshold voltage, the output power regulation factor is determined. The predicted output power of the wind turbine is regulated using the output power regulation factor to obtain the regulated output power of the wind turbine.

[0009] The battery of the new energy vehicle is continuously charged according to the aforementioned controlled output power.

[0010] Preferably, the wind speed during the operation of the new energy vehicle is monitored in real time using a wind speed sensor.

[0011] Preferably, determining the wind turbulence intensity during the operation of a new energy vehicle based on monitored wind speed data specifically includes:

[0012] The wind speed distribution level and wind speed fluctuation during the operation of new energy vehicles are determined by monitoring wind speed data.

[0013] The wind turbulence intensity during the operation of new energy vehicles is determined based on the wind speed distribution level and the wind speed fluctuation.

[0014] Preferably, predicting the output power of the wind turbine during the operation of a new energy vehicle by using the wind turbulence intensity specifically includes:

[0015] Obtain the first and second wind speed ranges during the operation of new energy vehicles;

[0016] When the wind speed distribution level during the operation of a new energy vehicle is in the first wind speed range, the predicted output power of the wind turbine is determined based on the wind turbulence intensity and the rated power of the wind turbine.

[0017] When the wind speed distribution level during the operation of a new energy vehicle is in the second wind speed range, the predicted output power of the wind turbine is determined based on the rated power of the wind turbine.

[0018] Preferably, the battery terminal voltage of the new energy vehicle is monitored in real time using a voltage sensor.

[0019] Preferably, determining the output power regulation factor based on the battery terminal voltage and the preset equalization charging threshold voltage specifically includes:

[0020] When the battery terminal voltage is lower than the preset equalization charging threshold voltage, the output power regulation factor is set to the maximum value.

[0021] When the battery terminal voltage reaches the preset equalization charging threshold voltage, the battery power demand of the new energy vehicle is determined, and then the value of the output power control factor is determined by the battery power demand and the predicted output power of the wind turbine.

[0022] When the battery terminal voltage exceeds the preset equalization charging threshold voltage, the output power control factor is set to the minimum value.

[0023] Preferably, the predicted output power of the wind turbine is controlled by the output power control factor, and the controlled output power of the wind turbine is obtained by multiplying the output power control factor and the predicted output power of the wind turbine.

[0024] Secondly, this application provides a wind power-based new energy vehicle charging control system for executing a wind power-based new energy vehicle charging control method. The wind power-based new energy vehicle charging control system includes a wind power charging control unit, which comprises:

[0025] The wind speed monitoring module is used to monitor the wind speed in real time during the operation of new energy vehicles.

[0026] The power prediction module is used to determine the wind turbulence intensity during the operation of the new energy vehicle based on the monitored wind speed data, and to predict the output power of the wind turbine during the operation of the new energy vehicle based on the wind turbulence intensity, so as to obtain the predicted output power of the wind turbine.

[0027] The power regulation module is used to monitor the battery terminal voltage of the new energy vehicle in real time, determine the output power regulation factor based on the battery terminal voltage and the preset equalization charging threshold voltage, and use the output power regulation factor to regulate the predicted output power of the wind turbine to obtain the regulated output power of the wind turbine.

[0028] The continuous charging module is used to continuously charge the battery of the new energy vehicle according to the controlled output power.

[0029] Thirdly, this application provides a computer device, which includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-described method for controlling the charging of new energy vehicles based on wind power generation.

[0030] Fourthly, this application provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to implement the aforementioned method for charging new energy vehicles based on wind power generation.

[0031] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0032] This application provides a charging control method and system for new energy vehicles based on wind power generation. The method involves real-time monitoring of wind speed during the vehicle's operation; determining the wind turbulence intensity based on the monitored wind speed data; predicting the output power of the wind turbine generator based on the wind turbulence intensity; real-time monitoring of the battery terminal voltage; determining an output power regulation factor based on the battery terminal voltage and a preset equalization charging threshold voltage; regulating the predicted output power of the wind turbine generator using the output power regulation factor; and continuously charging the vehicle's battery according to the regulated output power.

[0033] Therefore, this application demonstrates that, firstly, by monitoring wind speed data and calculating wind turbulence intensity, the impact of wind speed fluctuations on wind turbines can be accurately assessed, thereby improving the accuracy of wind turbine output power prediction. When wind speeds are low or fluctuate significantly, wind turbulence intensity correction can prevent overestimation or underestimation of wind turbine output power, thus improving wind energy utilization efficiency. Secondly, by monitoring the battery terminal voltage of new energy vehicles in real time and determining the output power control factor based on the preset equalization charging threshold voltage, the predicted output power of the wind turbine can be controlled, achieving more precise charging control. Finally, by continuously charging the new energy vehicle battery based on the controlled output power, the stability and efficiency of the charging process can be ensured, thereby significantly improving the reliability and stability of the new energy vehicle charging system.

[0034] In summary, the technical solution adopted in this application can accurately predict the output power of the wind turbine during the operation of new energy vehicles and make precise adjustments based on the battery status, thereby improving the reliability of the charging system for new energy vehicles. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is an exemplary flowchart of a new energy vehicle charging control method based on wind power generation, according to some embodiments of this application;

[0037] Figure 2 This is an exemplary flowchart illustrating the determination of wind turbulence intensity during the driving process of a new energy vehicle, according to some embodiments of this application.

[0038] Figure 3 This is an exemplary flowchart illustrating the determination of the output power control factor according to some embodiments of this application;

[0039] Figure 4 These are schematic diagrams of exemplary hardware and / or software of a wind power charging control unit according to some embodiments of this application;

[0040] Figure 5 This is a schematic diagram of the structure of a computer device that implements a new energy vehicle charging control method based on wind power generation, according to some embodiments of this application. Detailed Implementation

[0041] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0042] This application provides a method and system for controlling the charging of new energy vehicles based on wind power generation. The core of this method is to monitor the wind speed during the vehicle's operation in real time; determine the wind turbulence intensity based on the monitored wind speed data; predict the output power of the wind turbine generator based on the wind turbulence intensity; monitor the battery terminal voltage of the new energy vehicle in real time; determine an output power control factor based on the battery terminal voltage and a preset equalization charging threshold voltage; use the output power control factor to regulate the predicted output power of the wind turbine generator; and continuously charge the new energy vehicle's battery according to the regulated output power. This method can accurately predict the output power of the wind turbine generator during the vehicle's operation and precisely control it according to the battery status, thereby improving the reliability of the new energy vehicle charging system.

[0043] To better understand the above technical solutions, a detailed description of the solutions will be provided below in conjunction with the accompanying drawings and specific implementation methods. (Reference) Figure 1 The figure is an exemplary flowchart of a new energy vehicle charging control method based on wind power generation, according to some embodiments of this application. The control method 100 mainly includes the following steps:

[0044] In step 101, the wind speed during the operation of the new energy vehicle is monitored in real time.

[0045] In practice, the wind speed during the driving process of new energy vehicles can be monitored in real time through a wind speed sensor. The wind speed sensor used in this application is a pitot tube wind speed sensor. In actual implementation, other wind speed sensors can also be used, and no limitation is made here.

[0046] In step 102, the wind turbulence intensity during the operation of the new energy vehicle is determined based on the monitored wind speed data. The output power of the wind turbine during the operation of the new energy vehicle is then predicted based on the wind turbulence intensity, thus obtaining the predicted output power of the wind turbine.

[0047] Preferably, in some embodiments, reference is made to Figure 2 As shown, this figure is an exemplary flowchart of determining the wind turbulence intensity during the driving process of a new energy vehicle in some embodiments of this application. In this embodiment, determining the wind turbulence intensity during the driving process of a new energy vehicle based on the monitored wind speed data can be achieved by the following steps:

[0048] In step 1021, the wind speed distribution level and wind speed fluctuation during the operation of the new energy vehicle are determined by the monitored wind speed data;

[0049] In step 1022, the wind turbulence intensity during the operation of the new energy vehicle is determined based on the wind speed distribution level and the wind speed fluctuation.

[0050] In practice, firstly, the wind speed distribution level and wind speed fluctuation during the operation of new energy vehicles can be determined by monitoring wind speed data. The wind speed distribution level represents the statistical characteristics of wind speed distribution during the operation of new energy vehicles, while the wind speed fluctuation represents the degree of dispersion of wind speed relative to the wind speed distribution level. In practice, the mean of the monitored wind speed data can be used as the wind speed distribution level, or the mode of the monitored wind speed data can be used as the wind speed distribution level, and the standard deviation of the monitored wind speed data can be used as the wind speed fluctuation. Then, the wind turbulence intensity during the operation of new energy vehicles can be determined based on the wind speed distribution level and wind speed fluctuation. The wind turbulence intensity represents the severity of wind speed fluctuations during the operation of new energy vehicles. In practice, the ratio of wind speed fluctuation to wind speed distribution level can be used as the wind turbulence intensity during the operation of new energy vehicles.

[0051] The predicted output power of the wind turbine during the operation of a new energy vehicle is obtained by predicting the wind turbine's output power based on the wind turbulence intensity. Specifically, the predicted output power of the wind turbine includes:

[0052] Obtain the first and second wind speed ranges during the operation of new energy vehicles;

[0053] When the wind speed distribution level during the operation of a new energy vehicle is in the first wind speed range, the predicted output power of the wind turbine is determined based on the wind turbulence intensity and the rated power of the wind turbine.

[0054] When the wind speed distribution level during the operation of a new energy vehicle is in the second wind speed range, the predicted output power of the wind turbine is determined based on the rated power of the wind turbine.

[0055] In practical implementation, firstly, the first and second wind speed ranges during the operation of the new energy vehicle can be obtained. The wind speed in the first range is relatively low, typically below the generator's rated wind speed, where wind turbulence intensity has a significant impact on power output. The wind speed in the second range is higher, exceeding the wind turbine's rated wind speed, where the wind turbine tends to operate at full load. The starting wind speed, rated wind speed, and stopping wind speed of the wind turbine can be obtained, and the starting wind speed and rated wind speed are used as the lower and upper bounds of the first wind speed range, respectively, while the rated wind speed and stopping wind speed are used as the lower and upper bounds of the second wind speed range, respectively. Then, the wind speed distribution level during the new energy vehicle's operation can be obtained. When the wind speed distribution level during the new energy vehicle's operation is within the first wind speed range, the predicted output power of the wind turbine can be determined based on the wind turbulence intensity and the wind turbine's rated power. In this case, the predicted output power can be determined using the following formula:

[0056]

[0057] Where P represents the predicted output power of the wind turbine, P r V represents the rated power of the wind turbine, V0 represents the lower limit of the first wind speed range, and V r λ represents the upper limit of the first wind speed range, V represents the wind speed distribution level during the operation of the new energy vehicle, and λ represents the wind turbulence intensity during the operation of the new energy vehicle. When the wind speed distribution level during the operation of the new energy vehicle is in the second wind speed range, the predicted output power of the wind turbine is determined based on the rated power of the wind turbine, that is, the rated power of the wind turbine can be used as the predicted output power of the wind turbine.

[0058] It should be noted that by monitoring wind speed data and calculating wind turbulence intensity, the impact of wind speed fluctuations on wind turbines can be accurately assessed, thereby improving the accuracy of wind turbine output power prediction. When wind speed is low or fluctuates greatly, wind turbulence intensity correction can avoid overestimation or underestimation of wind turbine output power, thus improving wind energy utilization efficiency.

[0059] In step 103, the battery terminal voltage of the new energy vehicle is monitored in real time. Based on the battery terminal voltage and the preset equalization charging threshold voltage, the output power regulation factor is determined. The predicted output power of the wind turbine is regulated using the output power regulation factor to obtain the regulated output power of the wind turbine.

[0060] In practice, the voltage of the battery terminal of a new energy vehicle can be monitored in real time using a voltage sensor. The voltage sensor used in this application is a Hall effect voltage sensor. In actual implementation, the voltage sensor can be installed at the positive and negative ports of the battery or in the battery management system (BMS) to ensure accurate measurement of the battery terminal voltage.

[0061] Preferably, in some embodiments, reference is made to Figure 3 As shown, this figure is an exemplary flowchart of determining the output power regulation factor in some embodiments of this application. In this embodiment, determining the output power regulation factor based on the battery terminal voltage and the preset equalization charging threshold voltage can be achieved by the following steps:

[0062] In step 1031, when the battery terminal voltage is lower than the preset equalization charging threshold voltage, the value of the output power regulation factor is set to the maximum value.

[0063] In step 1032, when the battery terminal voltage reaches the preset equalization charging threshold voltage, the battery power demand of the new energy vehicle is determined, and then the value of the output power control factor is determined by the battery power demand and the predicted output power of the wind turbine.

[0064] In step 1033, when the battery terminal voltage exceeds the preset equalization charging threshold voltage, the output power regulation factor is set to the minimum value.

[0065] In practice, firstly, a suitable equalization charging threshold voltage can be preset. This equalization charging threshold voltage is usually set according to the battery type (such as lithium-ion battery, lithium iron phosphate battery, etc.) and the manufacturer's recommended optimal charging strategy. For example, the equalization charging threshold voltage of lithium-ion battery is usually set to 4.1V~4.2V / cell, and that of lithium iron phosphate battery is 3.6V~3.7V / cell, which will not be elaborated here. Then, the battery terminal voltage can be compared with the preset equalization charging threshold voltage, and the value of the power control factor can be determined based on the comparison result.

[0066] In practical implementation, when the battery terminal voltage is lower than the preset equalization charging threshold voltage, it indicates that the battery is in a low charge state and requires higher charging power. At this time, the output power control factor can be set to its maximum value, i.e., the output power control factor can be set to 1, in order to provide the maximum charging power, accelerate the battery charging speed, and prevent over-discharge. When the battery terminal voltage reaches the preset equalization charging threshold voltage, it indicates that the battery has been charged to near full capacity, and the charging speed needs to be gradually reduced to avoid overcharging. At this time, the output power control factor needs to be determined based on the battery's required power and the wind turbine's predicted output power. The battery's required power is usually based on the battery's current charge level. The requirements for charging speed can be calculated by the Battery Management System (BMS) based on factors such as battery voltage and temperature. The ratio of the battery's required power to the wind turbine's predicted output power can then be used as the value of the output power control factor. When the battery terminal voltage exceeds the preset equalization charging threshold voltage, it indicates that the battery is fully charged. Continuing to charge may lead to overcharging, which can have an adverse effect on battery health. However, in order to compensate for the battery's self-discharge loss and maintain a stable terminal voltage, it is necessary to float charge it. At this time, the battery is in a float charging state and only accepts trickle charging. The output power control factor can be set to its minimum value, that is, the output power control factor can be set to 0.05.

[0067] In this embodiment, the predicted output power of the wind turbine is controlled using the output power control factor. The controlled output power of the wind turbine is obtained by multiplying the output power control factor by the predicted output power. It should be noted that by multiplying the output power control factor by the predicted output power, the output of the wind turbine can be flexibly adjusted, ensuring that the charging process meets the battery's charging needs while avoiding overcharging or unstable charging. Adjusting the output power of the wind turbine according to the actual needs of the battery prevents damage due to excessively fast or excessive charging. By precisely controlling the output power of the wind turbine, the battery can be charged at the optimal speed, improving charging efficiency and extending battery life.

[0068] It should be noted that by monitoring the battery terminal voltage of new energy vehicles in real time and determining the output power control factor based on the preset equalization charging threshold voltage, the predicted output power of the wind turbine can be adjusted, enabling more precise charging control. Specifically, dynamically adjusting the power output of the wind turbine based on the battery voltage can effectively prevent overcharging or slow charging, ensuring the safety and efficiency of battery charging. Matching the output power of the wind turbine with the actual needs of the battery not only improves the stability and reliability of the charging process but also maximizes the utilization efficiency of wind energy, thereby reducing energy waste and extending battery life.

[0069] In step 104, the new energy vehicle battery is continuously charged according to the adjusted output power.

[0070] In some embodiments, continuously charging the battery of a new energy vehicle according to the controlled output power means maintaining the output power of the wind turbine of the new energy vehicle at the controlled output power, thereby achieving continuous charging of the battery of the new energy vehicle.

[0071] In practice, firstly, once the controlled output power is determined, the wind turbine's control system adjusts its output power accordingly to ensure that the actual output power of the wind turbine matches the controlled output power. This can be achieved by adjusting the wind turbine's operating state (such as speed and load) to keep it always operating within the controlled power range. Then, when the wind turbine's output power is stably maintained at the controlled output power, the system transmits this power to the new energy vehicle's battery. The charging current is calculated based on the controlled output power and the battery's voltage. The magnitude of the charging current determines the battery's charging rate, thus ensuring that the battery is always in a safe and stable charging state, thereby achieving continuous charging of the new energy vehicle's battery.

[0072] It should be noted that continuously charging the batteries of new energy vehicles by adjusting the output power ensures the stability and efficiency of the charging process. By adjusting the output power of the wind turbine according to the real-time voltage status of the battery, the system can accurately match the charging demand, avoiding overcharging or undercharging. This precise control not only improves the utilization rate of the wind turbine and ensures the efficient conversion of wind energy, but also effectively protects the battery and extends its service life. Furthermore, accurately predicting the output power of the wind turbine and adjusting it in conjunction with the battery status improves the intelligence and automation of the charging process, thereby significantly enhancing the reliability and stability of the new energy vehicle charging system.

[0073] Therefore, this application demonstrates that, firstly, by monitoring wind speed data and calculating wind turbulence intensity, the impact of wind speed fluctuations on wind turbines can be accurately assessed, thereby improving the accuracy of wind turbine output power prediction. When wind speeds are low or fluctuate significantly, wind turbulence intensity correction can prevent overestimation or underestimation of wind turbine output power, thus improving wind energy utilization efficiency. Secondly, by monitoring the battery terminal voltage of new energy vehicles in real time and determining the output power control factor based on the preset equalization charging threshold voltage, the predicted output power of the wind turbine can be controlled, achieving more precise charging control. Finally, by continuously charging the new energy vehicle battery based on the controlled output power, the stability and efficiency of the charging process can be ensured, thereby significantly improving the reliability and stability of the new energy vehicle charging system.

[0074] In summary, the technical solution adopted in this application can accurately predict the output power of the wind turbine during the operation of new energy vehicles and make precise adjustments based on the battery status, thereby improving the reliability of the charging system for new energy vehicles.

[0075] Furthermore, in another aspect of this application, in some embodiments, this application provides a new energy vehicle charging control system based on wind power generation. This wind power-based new energy vehicle charging control system includes a wind power charging control unit. (Refer to...) Figure 4 The figure is a schematic diagram of exemplary hardware and / or software of a wind power charging control unit according to some embodiments of this application. The wind power charging control unit 400 includes: a wind speed monitoring module 401, a power prediction module 402, a power regulation module 403, and a continuous charging module 404, which are described below:

[0076] Wind speed monitoring module 401, in this application, is mainly used to monitor the wind speed in real time during the driving process of new energy vehicles;

[0077] The power prediction module 402 in this application is mainly used to determine the wind turbulence intensity during the operation of the new energy vehicle based on the monitored wind speed data, and to predict the output power of the wind turbine generator during the operation of the new energy vehicle based on the wind turbulence intensity, so as to obtain the predicted output power of the wind turbine generator.

[0078] The power regulation module 403 in this application is mainly used to monitor the battery terminal voltage of the new energy vehicle in real time, determine the output power regulation factor based on the battery terminal voltage and the preset equalization charging threshold voltage, and use the output power regulation factor to regulate the predicted output power of the wind turbine to obtain the regulated output power of the wind turbine.

[0079] The continuous charging module 404 in this application is mainly used to continuously charge the new energy vehicle battery according to the controlled output power.

[0080] The foregoing detailed an example of a wind power-based charging control method and system for new energy vehicles, as provided in this application. It is understood that the corresponding device, in order to achieve the above functions, includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, based on the units and algorithm steps described in conjunction with the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0081] In some embodiments, this application also provides a computer device, the computer device including a memory and a processor, the memory for storing a computer program, and the processor for calling and running the computer program from the memory, so that the computer device executes the above-described method for controlling the charging of a new energy vehicle based on wind power generation.

[0082] In some embodiments, reference Figure 5 The dashed lines in the figure indicate that the unit or module is optional. This figure is a structural schematic diagram of a computer device for a wind power-based new energy vehicle charging control method according to an embodiment of this application. The wind power-based new energy vehicle charging control method described in the above embodiment can... Figure 5 The computer device 500 shown is used to implement this, and the computer device 500 includes at least one processor 501, a memory 502 and at least one communication unit 505. The computer device 500 may be a terminal device, a server or a chip.

[0083] The processor 501 can be a general-purpose processor or a special-purpose processor. For example, the processor 501 can be a central processing unit (CPU). The CPU can be used to control the computer device 500, execute software programs, and process data from the software programs. The computer device 500 may also include a communication unit 505 for inputting (receiving) and outputting (transmitting) signals.

[0084] For example, computer device 500 may be a chip, communication unit 505 may be the input and / or output circuit of the chip, or communication unit 505 may be the communication interface of the chip, and the chip may be a component of terminal device, network device or other device.

[0085] For example, computer device 500 may be a terminal device or a server, and communication unit 505 may be a transceiver of the terminal device or the server, or communication unit 505 may be a transceiver circuit of the terminal device or the server.

[0086] The computer device 500 may include one or more memories 502 storing a program 504. The program 504 can be executed by a processor 501 to generate instructions 503, causing the processor 501 to perform the methods described in the above method embodiments according to the instructions 503. Optionally, the memory 502 may also store data (such as a target audit model). Optionally, the processor 501 may also read data stored in the memory 502, which may be stored at the same storage address as the program 504, or the data may be stored at a different storage address than the program 504.

[0087] The processor 501 and memory 502 can be configured separately or integrated together, for example, integrated on the system-on-chip (SOC) of the terminal device.

[0088] It should be understood that each step of the above method embodiment can be completed by hardware logic circuits or software instructions in the processor 501. The processor 501 can be a central processing unit, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

[0089] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0090] For example, in some embodiments, this application also provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to implement the above-described method for charging new energy vehicles based on wind power generation.

[0091] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0092] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A charging control method for new energy vehicles based on wind power generation, characterized in that, The control method includes the following steps: Real-time monitoring of wind speed during the operation of new energy vehicles; The wind turbulence intensity during the operation of the new energy vehicle is determined based on the monitored wind speed data. The output power of the wind turbine during the operation of the new energy vehicle is then predicted based on the wind turbulence intensity. The battery terminal voltage of the new energy vehicle is monitored in real time. Based on the battery terminal voltage and the preset equalization charging threshold voltage, the output power regulation factor is determined. The predicted output power of the wind turbine is regulated using the output power regulation factor to obtain the regulated output power of the wind turbine. The battery of the new energy vehicle is continuously charged according to the aforementioned controlled output power. Specifically, determining the wind turbulence intensity during the operation of a new energy vehicle based on the monitored wind speed data includes: determining the wind speed distribution level and wind speed fluctuation during the operation of the new energy vehicle through the monitored wind speed data; and determining the wind turbulence intensity during the operation of the new energy vehicle based on the wind speed distribution level and the wind speed fluctuation. Specifically, predicting the output power of the wind turbine during the operation of a new energy vehicle by using the wind turbulence intensity includes: obtaining a first wind speed range and a second wind speed range during the operation of the new energy vehicle; when the wind speed distribution level during the operation of the new energy vehicle is in the first wind speed range, determining the predicted output power of the wind turbine based on the wind turbulence intensity and the rated power of the wind turbine; when the wind speed distribution level during the operation of the new energy vehicle is in the second wind speed range, determining the predicted output power of the wind turbine based on the rated power of the wind turbine.

2. The new energy vehicle charging control method based on wind power generation as described in claim 1, characterized in that, The wind speed is monitored in real time by a wind speed sensor during the operation of new energy vehicles.

3. The new energy vehicle charging control method based on wind power generation as described in claim 1, characterized in that, The voltage of the battery terminals of new energy vehicles is monitored in real time using voltage sensors.

4. The new energy vehicle charging control method based on wind power generation as described in claim 1, characterized in that, Determining the output power regulation factor based on the battery terminal voltage and the preset equalization charging threshold voltage specifically includes: When the battery terminal voltage is lower than the preset equalization charging threshold voltage, the output power regulation factor is set to the maximum value. When the battery terminal voltage reaches the preset equalization charging threshold voltage, the battery power demand of the new energy vehicle is determined, and then the value of the output power control factor is determined by the battery power demand and the predicted output power of the wind turbine. When the battery terminal voltage exceeds the preset equalization charging threshold voltage, the output power regulation factor is set to the minimum value.

5. The new energy vehicle charging control method based on wind power generation as described in claim 1, characterized in that, The predicted output power of the wind turbine is controlled by the output power control factor. The controlled output power of the wind turbine is obtained by multiplying the output power control factor and the predicted output power of the wind turbine.

6. A wind power-based new energy vehicle charging control system, used to execute a wind power-based new energy vehicle charging control method as described in any one of claims 1 to 5, wherein the wind power-based new energy vehicle charging control system includes a wind power charging control unit, characterized in that, The wind power charging control unit includes: The wind speed monitoring module is used to monitor the wind speed in real time during the operation of new energy vehicles. The power prediction module is used to determine the wind turbulence intensity during the operation of the new energy vehicle based on the monitored wind speed data, and to predict the output power of the wind turbine during the operation of the new energy vehicle based on the wind turbulence intensity, so as to obtain the predicted output power of the wind turbine. The power regulation module is used to monitor the battery terminal voltage of the new energy vehicle in real time, determine the output power regulation factor based on the battery terminal voltage and the preset equalization charging threshold voltage, and use the output power regulation factor to regulate the predicted output power of the wind turbine to obtain the regulated output power of the wind turbine. The continuous charging module is used to continuously charge the battery of the new energy vehicle according to the controlled output power.

7. A computer device, characterized in that, The computer device includes a memory and a processor. The memory is used to store computer programs, and the processor is used to call and run the computer programs from the memory, so that the computer device executes the new energy vehicle charging control method based on wind power generation as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions or code that, when executed on a computer, cause the computer to implement the new energy vehicle charging control method based on wind power generation as described in any one of claims 1 to 5.

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