Fan blade inclination angle adjusting method and system based on target optimization, equipment and medium

Abstract

The invention discloses a fan blade inclination angle adjusting method and system based on target optimization, equipment and a medium. According to the fan blade inclination angle adjusting method, firstly, an engine load and a fan blade inclination angle serve as variables, heat dissipation performance and energy consumption performance serve as evaluation targets, a target optimization function is constructed, then optimization solution is conducted on the target optimization function, and the fan blade inclination angle is obtained. The optimal fan blade inclination angle under different engine loads when the target optimization function is optimal is obtained, so that the mapping relation between the engine loads and the optimal fan blade inclination angle is constructed, then the mapping relation between the fan blade temperature and the fan blade inclination angle is obtained, and heating control can be conducted on the fan blades according to the real-time loads of the engine. The fan blade inclination angle is adjusted to the optimal fan blade inclination angle corresponding to the real-time load, so that automatic adjustment of the fan blade inclination angle under different engine loads is achieved, adjustment operation is simpler, and comprehensive optimization of heat dissipation performance and energy consumption performance under different loads is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of fan blade inclination angle adjustment, and in particular, to a fan blade inclination angle adjustment method and system, an electronic device, and a computer-readable storage medium based on target optimization. Background Art

[0002] For a device that needs to dissipate heat, a cooling fan is one of the important components to ensure the normal operation of the device. The cooling fan can help the heat-generating device maintain within an appropriate working temperature range, ensure the safe and efficient operation of the device, and adapt to different working environments. Currently, the commonly used materials for cooling fans are plastics, alloys, or other composite materials. Once the fan blade design is determined, its shape is solidified. As one of the key parameters of the fan blade, the fan blade inclination angle is related to the air volume, air speed, noise level, and energy efficiency of the cooling fan. When the device is under different loads, the heat dissipation required will be different. If the fan blade inclination angle remains fixed, it is difficult to balance the heat dissipation effect and heat dissipation energy consumption.

[0003] The existing methods for adjusting the inclination angle of the fan blades can be divided into manual adjustment and electric adjustment, wherein the manual adjustment is to change the inclination angle of the fan blades by rotating the manual adjustment mechanism, which is simple to operate, but not suitable for application scenarios that require frequent adjustment, while the automatic adjustment can change the inclination angle of the fan blades through an electrically controlled crank-connecting rod mechanism, an electromagnetic damping mechanism or a hydraulically controlled fan blade torsion condition, without manual operation, and the automatic adjustment is more convenient and quick. For example, the Chinese patent application with publication number CN114962140A discloses a wind wheel device with variable angle blades and a blade angle design method thereof, which determines the angle of the wind wheel blades by the position of the end of the crank-connecting rod mechanism; the patent CN212250213U discloses an electrically controlled steering cooling fan, which uses an electromagnetic field controlled damping mechanism to cooperate with the damping force generated by the magnetic steel in the air, so that the spiral rotor of the fan and the housing form a differential rotation, thereby driving the fan angle to change; the patent CN212250568U discloses a fan angle adjustable fan system, which uses a hydraulically controlled fan blade adjustment mechanism to control the fan blades, and can realize 360-degree arbitrary angle rotation of the fan blades. However, the existing automatic blade angle adjustment device is more complicated in structure and control. For example, the crank-connecting rod mechanism has certain requirements for the operating space, and because it is a nonlinear motion, using it on a rotating part will have an adverse effect on the overall stability. The electromagnetic damping system usually requires continuous power supply to maintain its function, resulting in high energy consumption of the fan. The hydraulic control often needs to be carried out under a large hydraulic pressure, which will also increase energy consumption. In addition, patent CN109737078B discloses a fan and an electronic device, whose blades are made of memory materials, and the memory materials sense the changes in ambient temperature to present different blade inclination angles. However, for engine heat dissipation, the heat dissipation state of the engine is very complicated, and there are many components that need to be dissipated. Therefore, the engine is usually cooled by a heat dissipation medium, and the heat dissipation medium is then led out of the engine body for heat dissipation. Therefore, the fan blades cannot directly sense the temperature of the engine, resulting in poor heat dissipation performance, and it does not consider the balance between heat dissipation performance and heat dissipation energy consumption. Summary of the invention

[0004] The present invention provides a fan blade pitch adjustment method and system based on target optimization, an electronic device, and a computer-readable storage medium, which can realize automatic adjustment of the fan blade pitch under different engine loads, make the adjustment operation simpler, and achieve the comprehensive optimization of heat dissipation performance and energy consumption performance under different loads.

[0005] According to one aspect of the present invention, a method for adjusting the blade pitch angle of an engine cooling fan is provided, which includes the following contents:

[0006] The target optimization function is constructed by taking engine load and fan blade inclination as variables and heat dissipation performance and energy consumption performance as evaluation targets;

[0007] Optimize and solve the target optimization function to obtain the optimal blade inclination angle when the target optimization function is optimal under different engine loads, thereby constructing the mapping relationship between the engine load and the optimal blade inclination angle;

[0008] Obtain the mapping relationship between the blade temperature and the blade inclination angle;

[0009] Obtain the real-time load of the engine, and heat the blade according to the two mapping relationships so that the blade inclination angle is adjusted to the optimal blade inclination angle corresponding to the real-time load.

[0010] Furthermore, the expression of the target optimization function is:

[0011] F(p,θ) = ω1E(p,θ) + ω2Q(p,θ)

[0012] where F(p,θ) represents the target optimization function, p represents the engine load, θ represents the blade inclination angle, ω1 and ω2 represent weight coefficients, E(p,θ) represents the evaluation function of the energy consumption performance with respect to the engine load and the blade inclination angle, and Q(p,θ) represents the evaluation function of the heat dissipation performance with respect to the engine load and the blade inclination angle.

[0013] Furthermore, for the evaluation function of the energy consumption performance, its expression is:

[0014] E(p,θ) = P(p,θ) × t

[0015] P(p,θ) = (P base + β × p α ) × θ γ

[0016] where P(p,θ) represents the power consumption, t represents the time, P base represents the basic power consumption, β represents the influence degree of the load change on the power consumption, α is a constant, and γ represents the influence degree of the blade inclination angle change on the power consumption.

[0017] Furthermore, for the evaluation function of the heat dissipation performance, its expression is:

[0018] Q(p,θ) = f(p,θ) × t

[0019] f(p,θ) = (f base + δ × p τ ) × θ μ

[0020] where f(p,θ) represents the heat dissipation power, t represents the time, f baseIt represents the basic heat dissipation power, δ represents the influence degree of load change on the heat dissipation power, τ represents a constant, and its value under medium and high loads should be greater than that under low loads, and μ represents the influence degree of the change of the fan blade inclination angle on the heat dissipation power.

[0021] Further, the process of obtaining the real-time load of the engine and heating the fan blades according to two mapping relationships to adjust the fan blade inclination angle to the optimal fan blade inclination angle corresponding to the real-time load includes the following:

[0022] Obtain the real-time load of the engine and obtain the optimal fan blade inclination angle at this time according to the mapping relationship between the engine load and the optimal fan blade inclination angle;

[0023] Based on the optimal fan blade inclination angle at this time and the mapping relationship between the fan blade temperature and the fan blade inclination angle, calculate the target temperature of the fan blade;

[0024] Heat the fan blade until the fan blade temperature reaches the target temperature.

[0025] Further, the fan blade is made of memory material, and electric heating materials are built in both sides of the fan blade, and a temperature sensor is also built in the fan blade.

[0026] In addition, the present invention also provides a fan blade inclination angle adjustment system based on target optimization for adjusting the fan blade inclination angle of the engine cooling fan, including:

[0027] A target optimization function construction module for constructing a target optimization function with the engine load and the fan blade inclination angle as variables and the heat dissipation performance and energy consumption performance as evaluation targets;

[0028] An optimization solution module for optimizing and solving the target optimization function to obtain the optimal fan blade inclination angle when the target optimization function is optimal under different engine loads, so as to construct the mapping relationship between the engine load and the optimal fan blade inclination angle;

[0029] A mapping relationship acquisition module for acquiring the mapping relationship between the fan blade temperature and the fan blade inclination angle;

[0030] A fan blade inclination angle real-time adjustment module for obtaining the real-time load of the engine and heating the fan blade according to two mapping relationships to adjust the fan blade inclination angle to the optimal fan blade inclination angle corresponding to the real-time load.

[0031] Further, the fan blade inclination angle real-time adjustment module includes:

[0032] A load acquisition unit for obtaining the real-time load of the engine;

[0033] A data calculation unit, configured to calculate the optimal blade angle at this time according to the real-time load of the engine and the mapping relationship between the engine load and the optimal blade angle, and calculate the target temperature of the blade based on the optimal blade angle at this time and the mapping relationship between the blade temperature and the blade angle;

[0034] A heating control unit, configured to heat the blade until the blade temperature reaches the target temperature.

[0035] In addition, the present invention also provides an electronic device, including a processor and a memory. A computer program is stored in the memory, and the processor is configured to execute the steps of the method described above by calling the computer program stored in the memory.

[0036] In addition, the present invention also provides a computer-readable storage medium, configured to store a computer program for optimizing and adjusting the blade angle based on a target. When the computer program runs on a computer, it executes the steps of the method described above.

[0037] The present invention has the following beneficial effects:

[0038] In the blade angle adjustment method based on target optimization of the present invention, taking the engine load and the blade angle as variables and the heat dissipation performance and energy consumption performance as evaluation targets, a target optimization function is constructed. Then, the target optimization function is optimized and solved to obtain the optimal blade angle when the target optimization function is optimal under different engine loads, thereby constructing the mapping relationship between the engine load and the optimal blade angle. Then, by obtaining the mapping relationship between the blade temperature and the blade angle, the heating control of the blade can be performed according to the real-time load of the engine, so that the blade angle is adjusted to the optimal blade angle corresponding to the real-time load, thereby realizing the automatic adjustment of the blade angle under different engine loads. The adjustment operation is simpler, and the comprehensive optimum of the heat dissipation performance and energy consumption performance under different loads is achieved.

[0039] In addition, the blade angle adjustment system based on target optimization of the present invention also has the above advantages.

[0040] In addition to the purposes, features and advantages described above, the present invention has other purposes, features and advantages. The present invention will be further described in detail below with reference to the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The drawings constituting a part of this application are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0042] Figure 1 is a schematic flowchart of the blade angle adjustment method based on target optimization of the preferred embodiment of the present application;

[0043] Figure 2 is a schematic structural view of a fan according to a preferred embodiment of the present application;

[0044] Figure 3 is a schematic structural view of a fan blade according to a preferred embodiment of the present application;

[0045] Figure 4 is Figure 1 a sub - process schematic view of step S4 in

[0046] Figure 5 is a schematic module structure view of a fan blade inclination angle adjustment system based on target optimization according to another embodiment of the present application.

[0047] Explanation of reference numerals

[0048] 1. Fan blade; 2. Central axis; 3. Electrothermal material. Detailed implementation manners

[0049] It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the drawings and in combination with the embodiments.

[0050] Referring to Figure 1 , a preferred embodiment of the present application provides a method for adjusting the inclination angle of a fan blade based on target optimization, which is used to adjust the inclination angle of the fan blade of an engine cooling fan, and includes the following:

[0051] Step S1: Construct a target optimization function with the engine load and the fan blade inclination angle as variables and the heat dissipation performance and the energy consumption performance as evaluation objectives;

[0052] Step S2: Optimize and solve the target optimization function to obtain the optimal fan blade inclination angle when the target optimization function is optimal under different engine loads, so as to construct a mapping relationship between the engine load and the optimal fan blade inclination angle;

[0053] Step S3: Obtain the mapping relationship between the fan blade temperature and the fan blade inclination angle;

[0054] Step S4: Obtain the real - time load of the engine, and heat the fan blade according to the two mapping relationships so that the fan blade inclination angle is adjusted to the optimal fan blade inclination angle corresponding to the real - time load.

[0055] It can be understood that for the method for adjusting the blade inclination angle based on target optimization in this embodiment, the engine load and the blade inclination angle are first used as variables, and the heat dissipation performance and the energy consumption performance are used as evaluation targets to construct a target optimization function. Then, the target optimization function is optimized and solved to obtain the optimal blade inclination angle when the target optimization function is optimal under different engine loads, thereby constructing a mapping relationship between the engine load and the optimal blade inclination angle. Then, the mapping relationship between the blade temperature and the blade inclination angle is obtained, and the blade can be heated and controlled according to the real-time load of the engine, so that the blade inclination angle is adjusted to the optimal blade inclination angle corresponding to the real-time load, thereby realizing the automatic adjustment of the blade inclination angle under different engine loads. The adjustment operation is simpler, and the comprehensive optimum of the heat dissipation performance and the energy consumption performance under different loads is achieved.

[0056] Among them, as Figure 2 and Figure 3 shown, the fan includes a blade 1 and a central shaft 2. The blades 1 are evenly spaced along the circumferential direction on the central shaft 2. The blade 1 is made of a memory material. The blade 1 will present different blade inclination angles at different temperatures, and electric heating materials 3 are built into both sides of the blade 1. After the electric heating materials 3 are energized, they will generate heat, thereby increasing the temperature of the blade 1. The blade also has a temperature sensor. By controlling the heating of the electric heating materials 3 in the blade 1, the temperature of the blade 1 can be adjusted, and feedback control is performed through the temperature sensor.

[0057] It can be understood that in step S1, the present invention takes into account that the heat dissipation required under different engine loads is different, so it is necessary to adjust the blade inclination angle to adapt to different engine load conditions. Moreover, the change of the blade inclination angle will simultaneously affect the heat dissipation performance and the energy consumption performance of the equipment. In order to balance the heat dissipation performance and the energy consumption performance, the present invention uses the engine load and the blade inclination angle as variables, and the heat dissipation performance and the energy consumption performance as evaluation targets to construct a target optimization function. The specific expression is as follows:

[0058] F(p,θ) = ω1E(p,θ) + ω2Q(p,θ)

[0059] Among them, F(p,θ) represents the target optimization function, p represents the engine load, θ represents the blade inclination angle, ω1 and ω2 represent weight coefficients, which are used to control the relative importance of the heat dissipation performance and the energy consumption performance in the target optimization function and can be set according to actual needs. E(p,θ) represents the evaluation function of the energy consumption performance with respect to the engine load and the blade inclination angle, and Q(p,θ) represents the evaluation function of the heat dissipation performance with respect to the engine load and the blade inclination angle. Among them, for the evaluation function of the energy consumption performance, its expression is:

[0060] E(p,θ) = P(p,θ) × t

[0061] P(p,θ) = (P base+β×p α )×θ γ

[0062] Among them, P(p, θ) represents the power consumption. In actual applications, the power consumption of the engine is relatively large under medium and high loads, while it is relatively small under low loads. It is related to the engine load. t represents time, and P base represents the basic power consumption, which is related to the engine model of the equipment, such as the cylinder diameter of the engine, accessories such as the engine, etc. β represents the degree of influence of load change on power consumption, generally taking a constant value, which can be set according to actual needs. α is a constant, related to the load type, generally taking 1. γ represents the degree of influence of the change in the blade angle on power consumption, which is a constant and can be set according to actual needs.

[0063] It can be understood that the present invention takes into account that the power consumption P(p, θ) and the engine load p and the blade angle θ are not a strictly linear relationship. Therefore, a non-linear model is constructed based on the basic power consumption and combined with the degree of influence of load change on power consumption and the degree of influence of blade angle change on power consumption, which can accurately evaluate the power consumption of the equipment, and thus can accurately evaluate the energy consumption of the equipment.

[0064] For the evaluation function of the heat dissipation performance, its expression is:

[0065] Q(p, θ) = f(p, θ) × t

[0066] f(p, θ) = (f base +δ×p τ )×θ μ

[0067] Among them, f(p, θ) represents the heat dissipation power. In actual applications, the heat dissipation power in the medium and high load ranges is greater, and the heat dissipation power under low loads is smaller. t represents time, and f base represents the basic heat dissipation power, which is related to the cooling method, cylinder diameter, etc. of the engine. δ represents the degree of influence of load change on heat dissipation power, which is a constant. τ represents a constant, and its value is generally between 1 and 3, and the value under medium and high loads is greater than that under low loads. μ represents the degree of influence of the change in the blade angle on heat dissipation power, which is a constant and can be set according to actual needs.

[0068] It can be understood that the present invention takes into account that the heat dissipation power f(p, θ) and the engine load p and the blade angle θ are not a strictly linear relationship. Therefore, a non-linear model is constructed based on the basic heat dissipation power and combined with the degree of influence of load change on heat dissipation power and the degree of influence of blade angle change on heat dissipation power, which can accurately evaluate the heat dissipation of the equipment, and thus can accurately evaluate the heat dissipation performance of the equipment.

[0069] It can be understood that in the step S2, by using an optimization algorithm (such as a genetic algorithm, an ant colony algorithm, etc.) to iteratively optimize and solve the target optimization function, the optimal blade inclination angle θ when the target optimization function F(p, θ) is optimal under different engine loads p can be obtained. * , thereby, the mapping relationship between the engine load p and the optimal blade inclination angle θ * can be constructed, that is, one engine load magnitude p corresponds to one optimal blade inclination angle θ. * When the blade inclination angle is adjusted to θ * , the global optimum of the equipment's heat dissipation performance and energy consumption performance under the current load can be achieved.

[0070] It can be understood that in the step S3, a large number of experiments are carried out by changing the blade temperature and measuring the blade inclination angle at different blade temperatures, and the functional relationship between the blade temperature and the blade inclination angle is obtained by fitting based on the experimental data. For example, the functional relationship between the blade temperature and the blade inclination angle T = g(θ) can be obtained by using the least squares method to fit the experimental data, or the experimental data is analyzed to obtain the correlation relationship between the blade temperature and the blade inclination angle. Among them, the specific data fitting process belongs to the prior art and will not be elaborated here. Therefore, the mapping relationship between the blade temperature and the blade inclination angle can be a one-to-one mapping relationship, that is, one blade temperature value corresponds to one blade inclination angle value to achieve precise adjustment; it can also be a mapping relationship in which one blade temperature interval corresponds to one blade inclination angle value, or a mapping relationship in which one blade temperature interval corresponds to one blade inclination angle interval to achieve rapid adjustment.

[0071] It can be understood that as Figure 4 shown, in the step S4, the process of obtaining the real-time load of the engine and heating the fan blade according to the two mapping relationships so that the blade inclination angle is adjusted to the optimal blade inclination angle corresponding to the real-time load includes the following contents:

[0072] Step S41: Obtain the real-time load of the engine and obtain the optimal blade inclination angle at this time according to the mapping relationship between the engine load and the optimal blade inclination angle;

[0073] Step S42: Calculate the target temperature of the fan blade based on the optimal blade inclination angle at this time and the mapping relationship between the blade temperature and the blade inclination angle;

[0074] Step S43: Heat the fan blade until the blade temperature reaches the target temperature.

[0075] Specifically, first obtain the real-time load of the engine, then obtain the optimal blade angle corresponding to the current load according to the mapping relationship between the engine load and the optimal blade angle. Next, combine the mapping relationship between the blade temperature and the blade angle to calculate the target temperature of the blade. Finally, use this target temperature as the control target to heat the electrothermal material in the blade, and detect and feedback-control the blade temperature in real time through the temperature sensor in the blade until the blade temperature reaches the target temperature, then insulation can be carried out, that is, keep the blade temperature near the target temperature, so that the blade angle is adjusted to the optimal blade angle corresponding to the current load, and thus the global optimum of the energy consumption performance and the heat dissipation performance under the current load is achieved.

[0076] In addition, as Figure 5 shown, another embodiment of the present invention further provides a blade angle adjustment system based on target optimization for adjusting the blade angle of the engine cooling fan, preferably adopting the blade angle adjustment method based on target optimization as described above, including:

[0077] A target optimization function construction module for constructing a target optimization function with the engine load and the blade angle as variables and the heat dissipation performance and the energy consumption performance as evaluation targets;

[0078] An optimization solution module for optimizing and solving the target optimization function to obtain the optimal blade angle when the target optimization function is optimal under different engine loads, thereby constructing the mapping relationship between the engine load and the optimal blade angle;

[0079] A mapping relationship acquisition module for acquiring the mapping relationship between the blade temperature and the blade angle;

[0080] A blade angle real-time adjustment module for obtaining the real-time load of the engine and heating the blade according to the two mapping relationships so that the blade angle is adjusted to the optimal blade angle corresponding to the real-time load.

[0081] It can be understood that the blade angle adjustment system based on target optimization in this embodiment first constructs a target optimization function with the engine load and the blade angle as variables and the heat dissipation performance and the energy consumption performance as evaluation targets, then optimizes and solves the target optimization function to obtain the optimal blade angle when the target optimization function is optimal under different engine loads, thereby constructing the mapping relationship between the engine load and the optimal blade angle, and then obtains the mapping relationship between the blade temperature and the blade angle, and then can heat and control the blade according to the real-time load of the engine so that the blade angle is adjusted to the optimal blade angle corresponding to the real-time load, thus realizing the automatic adjustment of the blade angle under different engine loads, the adjustment operation is simpler, and the comprehensive optimum of the heat dissipation performance and the energy consumption performance under different loads is achieved.

[0082] In addition, the real-time adjustable blade inclination angle module includes:

[0083] A load acquisition unit for obtaining the real-time load of the engine;

[0084] A data calculation unit for calculating the optimal blade inclination angle at this time according to the real-time load of the engine and the mapping relationship between the engine load and the optimal blade inclination angle, and calculating the target temperature of the blade based on the optimal blade inclination angle at this time and the mapping relationship between the blade temperature and the blade inclination angle;

[0085] A heating control unit for heating the blade until the blade temperature reaches the target temperature.

[0086] It can be understood that each module and unit of this system in real time corresponds to each step of the above method embodiment, so the working principles of each module and unit will not be elaborated here, and the above method embodiment can be referred to correspondingly.

[0087] In addition, another embodiment of the present invention further provides an electronic device, including a processor and a memory, wherein a computer program is stored in the memory, and the processor is used to execute the steps of the above-mentioned method by calling the computer program stored in the memory.

[0088] In addition, another embodiment of the present invention further provides a computer-readable storage medium for storing a computer program for optimizing and adjusting the blade inclination angle based on a target. When the computer program runs on a computer, it executes the steps of the above-mentioned method.

[0089] The forms of common computer-readable storage media generally include: floppy disks, flexible disks, hard disks, magnetic tapes, any other magnetic media, CD-ROMs, any other optical media, punch cards, paper tapes, any other physical media with a pattern of holes, random access memories (RAMs), programmable read-only memories (PROMs), erasable programmable read-only memories (EPROMs), flash erasable programmable read-only memories (FLASH-EPROMs), any other memory chips or cartridges, or any other media that can be read by a computer. Instructions can be further transmitted or received by a transmission medium. The term transmission medium can include any tangible or intangible medium that can be used to store, encode, or carry instructions for execution by a machine, and includes digital or analog communication signals or an intangible medium that facilitates the communication of the above instructions. The transmission medium includes coaxial cables, copper wires, and optical fibers, which include the wires of a bus used to transmit a computer data signal.

[0090] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The solutions in the embodiments of the present application can be implemented in various computer languages. For example, object-oriented programming languages such as Java and interpreted scripting languages such as JavaScript, etc.

[0091] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks.

[0092] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that implements the functions specified in Figure 1 one or more of the flows Figure 1 or blocks.

[0093] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks.

[0094] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present application.

[0095] Obviously, those skilled in the art can make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalent technologies, this application is also intended to cover these modifications and variations.

[0096] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and alterations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for adjusting the blade inclination angle based on target optimization, which is used to adjust the blade inclination angle of the engine cooling fan, and is characterized in that, It includes the following contents: Taking the engine load and the blade angle as variables, and taking the heat dissipation performance and the energy consumption performance as evaluation objectives, a target optimization function is constructed. The target optimization function is optimized and solved to obtain the optimal blade angle when the target optimization function is optimal under different engine loads, thereby constructing the mapping relationship between the engine load and the optimal blade angle. Obtain the mapping relationship between the blade temperature and the blade angle. Obtain the real-time load of the engine, and heat the blade according to the two mapping relationships, so that the blade angle is adjusted to the optimal blade angle corresponding to the real-time load.

2. The method for adjusting the blade pitch angle based on target optimization according to claim 1, wherein The expression of the target optimization function is: F(p,θ)=ω1E(p,θ)+ω2Q(p,θ) Where, F(p,θ) represents the target optimization function, p represents the engine load, θ represents the blade angle, ω1 and ω2 represent the weight coefficients, E(p,θ) represents the evaluation function of the energy consumption performance with respect to the engine load and the blade angle, and Q(p,θ) represents the evaluation function of the heat dissipation performance with respect to the engine load and the blade angle.

3. The method for adjusting the blade pitch angle based on target optimization according to claim 2, wherein For the evaluation function of the energy consumption performance, its expression is: E(p,θ)=P(p,θ)×t P(p,θ)=(P base +β×p α )×θ γ Among them, P(p,θ) represents the power consumption, t represents time, P base represents the basic power consumption, β represents the influence degree of load change on power consumption, α is a constant, and γ represents the influence degree of the change of the blade inclination angle on power consumption.

4. The method for adjusting the blade pitch angle based on target optimization according to claim 2, wherein For the evaluation function of the heat dissipation performance, its expression is: Q(p,θ)=f(p,θ)×t f(p,θ) = (f base + δ × p τ ) × θ μ Among them, f(p,θ) represents the heat dissipation power, t represents time, and f base represents the basic heat dissipation power, δ represents the influence degree of load change on the heat dissipation power, τ represents a constant, and its value under medium and high loads should be greater than that under low loads, and μ represents the influence degree of the change of the fan blade inclination angle on the heat dissipation power.

5. The method for adjusting the blade angle based on target optimization according to claim 1, wherein The process of obtaining the real-time load of the engine and heating the blade according to the two mapping relationships so that the blade angle is adjusted to the optimal blade angle corresponding to the real-time load includes the following contents: Obtain the real-time load of the engine, and obtain the optimal blade angle at this time according to the mapping relationship between the engine load and the optimal blade angle. Based on the optimal blade angle at this time and the mapping relationship between the blade temperature and the blade angle, calculate the target temperature of the blade. Heat the blade until the blade temperature reaches the target temperature.

6. The method for adjusting the blade pitch angle based on target optimization according to claim 1, characterized in that The blade is made of a memory material, and electrothermal materials are built into both sides of the blade, and a temperature sensor is also built into the blade.

7. A blade inclination angle adjustment system based on target optimization, which is used to adjust the blade inclination angle of an engine cooling fan, is characterized in that It includes: A target optimization function construction module, which is used to construct a target optimization function with the engine load and the blade angle as variables and the heat dissipation performance and the energy consumption performance as evaluation objectives. An optimization and solution module, which is used to optimize and solve the target optimization function to obtain the optimal blade angle when the target optimization function is optimal under different engine loads, thereby constructing the mapping relationship between the engine load and the optimal blade angle. A mapping relationship acquisition module, which is used to obtain the mapping relationship between the blade temperature and the blade angle. A real-time blade angle adjustment module, which is used to obtain the real-time load of the engine and heat the blade according to the two mapping relationships so that the blade angle is adjusted to the optimal blade angle corresponding to the real-time load.

8. The blade inclination angle adjustment system based on target optimization according to claim 7, wherein, The real-time blade angle adjustment module includes: A load acquisition unit, which is used to obtain the real-time load of the engine. A data calculation unit, which is used to calculate the optimal blade angle at this time according to the real-time load of the engine and the mapping relationship between the engine load and the optimal blade angle, and calculate the target temperature of the blade based on the optimal blade angle at this time and the mapping relationship between the blade temperature and the blade angle. A heating control unit, which is used to heat the blade until the blade temperature reaches the target temperature.

9. An electronic device, characterized in that, It includes a processor and a memory, and a computer program is stored in the memory. The processor is configured to execute the steps of the method according to any one of claims 1 to 6 by calling the computer program stored in the memory.

10. A computer-readable storage medium for storing a computer program for optimizing and adjusting the blade inclination angle based on a target, characterized in that When the computer program runs on a computer, it executes the steps of the method according to any one of claims 1 to 6.

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