An intelligent dust blocking device and dust blocking method for suppressing dust from commercial vehicle cooling fans

Abstract

The present application relates to the field of thermal management systems for commercial vehicles, and specifically to an intelligent dust shielding device for suppressing dust from cooling fans of commercial vehicles, comprising: a dust shield comprising a first part and a second part; the initial angle of the second part relative to the first part is a right angle; an actuator for providing power to the second part so that the second part rotates around a hinge; a road condition detection unit for obtaining in real time the vehicle's driving speed, the frequency of road bumps, and the concentration of dust; a heat dissipation monitoring unit for obtaining in real time the temperature difference between the coolant inlet and outlet of the radiator and the real-time fan speed of the cooling fan; a controller for receiving data obtained by the road condition detection unit and the heat dissipation monitoring unit, calculating in real time the optimal target angle of the second part, and dynamically adjusting the second part to the target angle through the actuator. The intelligent dust shielding device and dust shielding method of the present application solve the technical problems of the prior art, such as poor heat dissipation caused by excessive dust suppression, or uncontrolled dust caused by heat dissipation priority.

Description

Technical Field

[0001] The present invention relates to the field of thermal management systems for commercial vehicles, and in particular to an intelligent dust blocking device and a dust blocking method for suppressing dust from a cooling fan of a commercial vehicle. Background Art

[0002] Currently, when commercial vehicle cooling fans cool the engine, some of the air blows toward the ground, causing dust. To minimize dust, a common solution for suppressing dust from commercial vehicle cooling fans is to install a dust shield fixed below the fan outlet.

[0003] In the related art, a radiator is arranged close to the engine, and a dust shield is provided at the lower portion of the radiator fan cover so as to contact the cabin bottom plate, thereby preventing the fan airflow from directly blowing onto the road surface.

[0004] However, the existing fixed dust shield has the following shortcomings:

[0005] The angle of the fixed dust shield cannot be adjusted, and the impact of the dust shield angle on the aerodynamic characteristics of the vehicle is not taken into consideration. It cannot adapt to the heat dissipation and dust blocking needs under different road conditions. The most common situation is either poor heat dissipation caused by excessive dust suppression, or uncontrolled dust caused by heat dissipation priority, and it is impossible to take both into account at the same time. Summary of the Invention

[0006] The present application provides an intelligent dust blocking device and a dust blocking method for suppressing dust from a cooling fan of a commercial vehicle, which solves the technical problems in the prior art of poor heat dissipation caused by excessive dust suppression or uncontrolled dust caused by heat dissipation priority.

[0007] In a first aspect, an embodiment of the present application provides an intelligent dust blocking device for suppressing dust from a cooling fan of a commercial vehicle, comprising:

[0008] The dust shield comprises a first portion vertically fixed to the fan cover and a second portion hinged to the bottom end of the first portion; the second portion is initially at a right angle relative to the first portion;

[0009] an actuator for providing power to the second part so as to rotate the second part about the hinge;

[0010] Road condition detection unit, used to obtain vehicle speed, road bump frequency and dust concentration in real time;

[0011] The heat dissipation monitoring unit is used to obtain the temperature difference between the coolant inlet and outlet of the radiator and the real-time speed of the cooling fan in real time;

[0012] The controller is used to receive data obtained by the road condition detection unit and the heat dissipation monitoring unit, calculate the optimal target angle of the second part in real time, and dynamically adjust the second part to the target angle through the actuator.

[0013] In combination with the first aspect, in one embodiment, the controller includes a neural network model, which takes vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed as input, and takes the target angle of the second part as output.

[0014] In combination with the first aspect, in one embodiment, the actuator includes a stepper motor, a harmonic reducer and an angle encoder. The stepper motor drives the second part to rotate through the harmonic reducer. The angle encoder is used to monitor the angle of the second part relative to the first part in real time and feed back to the controller.

[0015] In combination with the first aspect, in one embodiment, the road condition detection unit includes a dust concentration sensor, and the dust concentration sensor signal is connected to the controller.

[0016] In combination with the first aspect, in one embodiment, the heat dissipation monitoring unit includes a thermocouple temperature sensor and a Hall fan speed sensor, wherein the thermocouple temperature sensor is used to obtain the temperature difference between the inlet and outlet of the coolant, and the Hall fan speed sensor is used to obtain the real-time speed of the fan.

[0017] In combination with the first aspect, in one embodiment, after the controller obtains the target angle, it uses the target angle and the angle fed back by the angle encoder to calculate the deviation, and uses the angle deviation and the rate of change of the angle deviation to perform adaptive PID control so that the actual angle of the second part reaches the target angle.

[0018] In combination with the first aspect, in one embodiment, the first part and the second part of the dust shield are connected by a hinge 5, and the surfaces of the first part and the second part are coated with a super-hydrophobic coating and / or a photocatalyst coating.

[0019] In combination with the first aspect, in one embodiment, the intelligent dust shield device further includes an electrically opened and closed dust cover, which is arranged on the windward side of the dust shield plate and is in a normally closed state; when the dust concentration is greater than the set concentration threshold, the dust cover opens.

[0020] In a second aspect, an embodiment of the present application provides a dust blocking method based on the above-mentioned intelligent dust blocking device, comprising the following steps:

[0021] S1: The road condition detection unit obtains the vehicle speed, road bump frequency and dust concentration in real time; at the same time, the heat dissipation monitoring unit obtains the radiator coolant inlet and outlet temperature difference and the cooling fan real-time fan speed in real time;

[0022] S2: The controller receives the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed, and calculates the optimal target angle for the second step;

[0023] S3: The controller adjusts the second part to the target angle through the actuator.

[0024] In conjunction with the second aspect, in one embodiment, the controller includes a neural network model that takes vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed as inputs, and outputs a target angle of the second part; the actuator includes a stepper motor, a harmonic reducer, and an angle encoder;

[0025] In step S2, the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed under actual working conditions are input into the neural network model, and the neural network model outputs the optimal target angle;

[0026] In step S3, the controller controls the stepper motor to rotate, and the stepper motor drives the second part to rotate through the harmonic reducer so that the second part reaches the target angle. The angle encoder monitors the angle of the second part relative to the first part in real time and feeds back to the controller.

[0027] The beneficial effects of the technical solutions provided in the embodiments of the present application include at least:

[0028] 1. The intelligent dust shield device of the present application obtains the vehicle speed, road bump frequency and dust concentration through the road condition detection unit, and obtains the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference and fan real-time speed by obtaining the coolant inlet and outlet temperature difference of the radiator and the fan real-time speed of the cooling fan, thereby obtaining five mutually influencing parameters: vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference and fan real-time speed. The controller calculates the optimal dust shield target angle in real time through these five parameters, and dynamically adjusts it to the second target angle through the actuator, which can take into account the dust suppression and heat dissipation effects at the same time, and solves the technical problem that the existing technology is prone to poor heat dissipation caused by excessive dust suppression or dust out of control caused by heat dissipation priority.

[0029] 2. The intelligent dust blocking device of the present application includes a neural network model that has been trained extensively in its controller. It takes vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and real-time fan speed as input, and uses the target angle of the second part as output. It can achieve a good dust suppression effect while ensuring the heat dissipation effect. It can be applied to various road conditions and can take into account both heat dissipation and dust suppression at the same time.

[0030] 3. The intelligent dust shield device of the present application has the first and second surfaces of the dust shield coated with a super-hydrophobic coating and / or a photocatalyst coating, which fully utilizes the self-cleaning properties of the material to prevent dust from being easily adsorbed on the dust shield, or automatically decomposes under sunlight, thereby reducing the accumulation of dust on the dust shield at the source and extending the cleaning and maintenance cycle.

[0031] 4. The dust blocking method of the present application, the controller obtains five mutually influencing parameters: vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed, calculates the optimal dust shield target angle in real time, and dynamically adjusts it to the target angle of the second part through the actuator. This target angle can take into account both dust suppression and heat dissipation effects, solving the technical problem that the existing technology is prone to excessive dust suppression due to poor heat dissipation or dust out of control due to heat dissipation priority. The dust blocking method of the present application, the controller includes a neural network model that has been trained extensively, takes vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed as input, and takes the target angle of the second part as output, and dynamically adjusts the angle of the second part of the dust shield. It can achieve a good dust suppression effect while ensuring the heat dissipation effect, and can be applied to various road conditions, and can take into account both heat dissipation and dust suppression. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0033] Figure 1 A flow chart of the intelligent dust blocking device provided in an embodiment of the present application;

[0034] Figure 2 A flow chart of the dust blocking method provided in an embodiment of the present application;

[0035] In the figure: 1. Heat dissipation monitoring unit; 2. Road condition detection unit; 3. Controller; 4. Actuator; 5. Hinge; 101. Engine; 102. Cooling fan; 103. Radiator; 104. Intercooler; 105. Dust shield; 106. Fan cover. DETAILED DESCRIPTION

[0036] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0037] The embodiment of the present application provides an intelligent dust blocking device for suppressing dust from the cooling fan of a commercial vehicle. It fully considers road conditions and heat dissipation factors, while taking into account both dust suppression and heat dissipation effects, thereby solving the technical problems in the prior art where excessive dust suppression easily leads to poor heat dissipation or heat dissipation priority leads to uncontrolled dust.

[0038] like Figure 1 and Figure 2 As shown, the present application discloses an embodiment of an intelligent dust shielding device for suppressing dust from a cooling fan of a commercial vehicle. The intelligent dust shielding device includes a dust shield 105, an actuator 4, a road condition detection unit 2, a heat dissipation monitoring unit 1 and a controller 3.

[0039] The dust shield 105 comprises a first portion vertically fixed to the fan housing 106 and a second portion hinged to the bottom of the first portion; the second portion is initially at a right angle relative to the first portion. Specifically, the first portion is fixed and the second portion is movable, connected to the first portion via hinge 5.

[0040] The actuator 4 is used to provide power to the second part, so that the second part rotates around the hinge to reach the target angle.

[0041] Road condition detection unit 2 is used to obtain real-time information about vehicle speed, road bump frequency, and dust concentration. The relationship between vehicle speed and road bump frequency can reflect the quality of road conditions. Worse road conditions increase dust concentration, which can reflect the dust concentration per unit volume.

[0042] The heat dissipation monitoring unit 1 is used to obtain the temperature difference between the inlet and outlet of the coolant of the radiator 103 and the real-time fan speed of the cooling fan 102 in real time.

[0043] Specifically, the coolant inlet and outlet temperature difference refers to the difference between the coolant inlet and outlet temperatures within radiator 103. Specifically, the smaller the coolant inlet and outlet temperature difference, the higher the fan speed required to achieve a good heat dissipation effect; however, a higher fan speed may also result in a higher dust concentration.

[0044] The controller 3 is used to receive data obtained by the road condition detection unit and the heat dissipation monitoring unit, namely the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference and fan real-time speed, calculate the optimal dust shield target angle in real time, and dynamically adjust the second part to the target angle through the actuator 4, that is, from a right angle to an acute angle or an obtuse angle.

[0045] Specifically, the controller 3 also communicates with the vehicle control system via the CAN bus.

[0046] Specifically, a cooling fan 102 , a radiator 103 , and an intercooler 104 are provided in close proximity to the engine 101 .

[0047] The intelligent dust shield device of the present application obtains the vehicle speed, road bump frequency and dust concentration through the road condition detection unit 2, and obtains the coolant inlet and outlet temperature difference of the radiator 103 and the real-time fan speed of the cooling fan 102 to obtain the five mutually influencing parameters of vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference and fan real-time speed. The controller 3 calculates the optimal dust shield target angle in real time through these five parameters, and dynamically adjusts it to the second target angle through the actuator 4, which can take into account the dust suppression and heat dissipation effects at the same time, and solves the technical problem that the existing technology is prone to poor heat dissipation caused by excessive dust suppression or dust out of control caused by heat dissipation priority.

[0048] The intelligent dust shielding device of the present application is mainly used in engineering vehicles and used at construction sites.

[0049] In one embodiment, the controller 3 includes a neural network model that has been trained extensively. The neural network model takes vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed as input, and takes the target angle of the second part of the dust shield as output, to obtain the optimal target angle after fully considering the heat dissipation effect and dust suppression effect.

[0050] Vehicle speed and road bump frequency reflect road conditions; better road conditions result in less dust. The coolant inlet and outlet temperature difference and fan speed reflect cooling effectiveness. A smaller coolant inlet and outlet temperature difference indicates poor cooling effectiveness and requires a higher fan speed.

[0051] Specifically, the road condition detection unit calculates the road condition assessment value R=f(v,f) based on the vehicle speed V1 and the road bump frequency f; the larger the R value, the worse the road condition and the higher the dust risk.

[0052] Furthermore, the neural network model sets priority rules, prioritizing dust suppression over heat dissipation. The neural network model primarily uses a Gaussian membership function to establish an input-output relationship and output the optimal target angle in real time. This target angle effectively suppresses dust while ensuring heat dissipation. The neural network model comprehensively considers various extreme and common operating conditions and establishes multiple rules to cope with complex and diverse practical application scenarios. These rules include the minimum heat dissipation requirement, which is the sum of the coolant inlet and outlet temperature difference and the real-time fan speed.

[0053] The intelligent dust blocking device of the present application includes a neural network model that has been trained extensively in the controller 3. It takes vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed as input, and uses the target angle of the second part as output. It can achieve a good dust suppression effect while ensuring the heat dissipation effect. It can be applied to various road conditions and can take into account both heat dissipation and dust suppression at the same time.

[0054] In one embodiment, actuator 4 further comprises a high-precision stepper motor, a harmonic reducer, and an angle encoder. The angle encoder monitors the angle of the second portion relative to the first portion in real time and provides feedback to controller 3. The harmonic reducer has a reduction ratio of 1:50. The stepper motor drives the second portion through the harmonic reducer.

[0055] Specifically, the angle encoder uses a 12-bit magnetic encoder 5, which has an angular resolution of 0.1° and high accuracy, meeting the requirements for closed-loop control of the dust shield angle. This high-precision angle encoder facilitates adjustment to the optimal target angle. The combination of a high-precision stepper motor, harmonic reducer, and angle encoder enables precise control of the dust shield angle.

[0056] In the actual control process, the stepper motor drives the second part to rotate through the harmonic reducer. The angle encoder is used to monitor the angle of the second part relative to the first part in real time and feed it back to the controller 3; the controller 3 controls the operation of the stepper motor.

[0057] In one embodiment, the road condition detection unit includes a dust concentration sensor for detecting the dust concentration per unit volume of air. The dust concentration sensor signal is connected to controller 3. When controller 3 changes the angle of the second portion, the dust concentration changes. The dust concentration sensor measures the dust concentration and provides feedback to controller 3.

[0058] Specifically, a dust concentration sensor monitors dust concentration in front of and behind the dust shield in real time. During neural network training, the dust shield angle is adjusted for each scenario to optimize dust suppression. Direct feedback from the dust concentration sensor can further improve control accuracy and real-time performance, but this requires addressing issues with sensor reliability and long-term stability.

[0059] In one embodiment, the heat dissipation monitoring unit includes a thermocouple temperature sensor and a Hall effect fan speed sensor. The thermocouple temperature sensor is used to obtain the temperature difference between the inlet and outlet of the coolant, and the Hall effect fan speed sensor is used to obtain the real-time fan speed.

[0060] Specifically, the thermocouple temperature sensor uses a K-type thermocouple, coupled with cold-junction temperature compensation, achieving a temperature measurement accuracy of ±0.5°C, ensuring high temperature measurement precision. The Hall effect fan speed sensor uses a bipolar Hall effect element, achieving a speed resolution of 1 rpm and providing sensitive measurement.

[0061] In one embodiment, after obtaining the target angle, the controller 3 calculates the deviation between the target angle and the angle fed back by the angle encoder, and performs adaptive PID control using the angle deviation and the rate of change of the angle deviation so that the actual angle of the second part reaches the target angle.

[0062] Specifically, adaptive PID control: PID parameters are adjusted online according to the angle deviation e and its rate of change ec. When e is large, the proportional gain kp is adaptively amplified to speed up the response; when e is small, kp is reduced to avoid overshoot; when ec is large, the differential gain kd is increased to suppress oscillation, otherwise kd is reduced to improve steady-state accuracy.

[0063] In one embodiment, the first and second parts of the dust shield are both made of lightweight, high-strength materials, have an arc-shaped design, and are connected by a hinge 5. The first part is fixed to the fan cover. The edges and corners of the dust shield's shape are aerodynamically optimized using CFD to ensure strength while minimizing airflow resistance.

[0064] The dust shield is coated with a special material, such as a super-hydrophobic coating and / or a photocatalytic coating. This material's self-cleaning properties prevent dust from adsorbing onto the shield, or allow it to automatically decompose under sunlight. This solution reduces dust accumulation on the shield at the source and extends cleaning and maintenance cycles.

[0065] The intelligent dust shield device of the present application has the first and second surfaces of the dust shield coated with a super-hydrophobic coating and / or a photocatalyst coating, which fully utilizes the self-cleaning properties of the material to prevent dust from being easily adsorbed on the dust shield, or automatically decomposes under sunlight, thereby reducing the accumulation of dust on the dust shield at the source and extending the cleaning and maintenance cycle.

[0066] In one embodiment, the intelligent dust shield device further includes an electrically opened and closed dust cover, which is arranged on the windward side of the dust shield plate. The dust cover is in a normally closed state. When the dust concentration is greater than the set concentration threshold, the dust cover opens.

[0067] Specifically, a motorized dust shield is installed on the windward side of dust shield 105. It remains closed at all times to prevent dust from entering. When heavy dust is detected, dust shield 105 is controlled to open, using airflow to blow away the dust. The dust shield is then cleaned regularly. This solution provides proactive protection when dust levels are high, while minimizing heat dissipation at other times. However, the timing and frequency of opening and closing the dust shield must be properly controlled to balance dust prevention effectiveness and energy consumption.

[0068] The neural network model in the controller of the intelligent dust shield device of the present application takes the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference and fan real-time speed as input to derive the target angle of the second part of the dust shield 105;

[0069] After simulation testing, the intelligent dust shield device can make the dynamic adjustment range of the dust shield cover more than 95% of all working conditions. Not only is the dust suppression effect significantly improved, the engine's heat dissipation effect is also 15% higher than that of a single-angle control strategy, fully demonstrating the advantages of comprehensive trade-offs.

[0070] The present application also discloses a dust blocking method based on the above-mentioned intelligent dust blocking device, comprising the following steps:

[0071] S1: The road condition detection unit 2 obtains the vehicle speed, road bump frequency and dust concentration in real time; at the same time, the heat dissipation monitoring unit 1 obtains the coolant inlet and outlet temperature difference of the radiator 103 and the real-time fan speed of the cooling fan 102 in real time;

[0072] S2: Controller 3 receives the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed, and calculates the second optimal target angle;

[0073] S3: The controller 3 adjusts the second part to the target angle through the actuator 4.

[0074] In the dust blocking method of the present application, the controller obtains five mutually influencing parameters, namely, vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed, calculates the optimal dust shield target angle in real time, and dynamically adjusts it to the second target angle through the actuator 4. This target angle can take into account both dust suppression and heat dissipation effects, solving the technical problems of the prior art that excessive dust suppression easily leads to poor heat dissipation or heat dissipation priority leads to uncontrolled dust.

[0075] In one embodiment, the controller 3 includes a neural network model that has been trained extensively. The neural network model takes vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed as input, and takes the target angle of the second part of the dust shield as output, to obtain the optimal target angle after fully considering the heat dissipation effect and dust suppression effect.

[0076] Vehicle speed and road bump frequency reflect road conditions; better road conditions result in less dust. The coolant inlet and outlet temperature difference and fan speed reflect cooling effectiveness. A smaller coolant inlet and outlet temperature difference indicates poor cooling effectiveness and requires a higher fan speed.

[0077] Specifically, the road condition detection unit calculates the road condition assessment value R=f(v,f) based on the vehicle speed V1 and the road bump frequency f; the larger the R value, the worse the road condition and the higher the dust risk.

[0078] Furthermore, the neural network model sets priority rules, prioritizing dust suppression over heat dissipation. The neural network model primarily uses a Gaussian membership function to establish an input-output relationship and output the optimal target angle in real time. This target angle effectively suppresses dust while ensuring heat dissipation. The neural network model comprehensively considers various extreme and common operating conditions and establishes multiple rules to cope with complex and diverse practical application scenarios. These rules include the minimum heat dissipation requirement, which is the sum of the coolant inlet and outlet temperature difference and the real-time fan speed.

[0079] In one embodiment, actuator 4 further comprises a high-precision stepper motor, a harmonic reducer, and an angle encoder. The angle encoder monitors the angle of the second portion relative to the first portion in real time and provides feedback to controller 3. The harmonic reducer has a reduction ratio of 1:50. The stepper motor drives the second portion through the harmonic reducer.

[0080] Specifically, the angle encoder uses a 12-bit magnetic encoder 5, which has an angular resolution of 0.1° and high accuracy, meeting the requirements for closed-loop control of the dust shield angle. This high-precision angle encoder facilitates adjustment to the optimal target angle. The combination of a high-precision stepper motor, harmonic reducer, and angle encoder enables precise control of the dust shield angle.

[0081] In the actual control process, the stepper motor drives the second part to rotate through the harmonic reducer. The angle encoder is used to monitor the angle of the second part relative to the first part in real time and feed it back to the controller 3; the controller 3 controls the operation of the stepper motor.

[0082] In step S2, the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed under actual working conditions are input into the neural network model, and the neural network model outputs the optimal target angle;

[0083] In step S3 , the controller 3 controls the stepper motor to rotate, and the stepper motor drives the second part to rotate through the harmonic reducer so that the second part reaches the target angle. The angle encoder monitors the angle of the second part relative to the first part in real time and feeds back to the controller 3 .

[0084] The dust blocking method of the present application includes a neural network model that has been trained extensively in the controller 3. It takes the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed as inputs, and the target angle of the second part as output. It dynamically adjusts the angle of the second part of the dust shield, which can achieve a good dust suppression effect while ensuring the heat dissipation effect. It can be applied to various road conditions and can take into account both heat dissipation and dust suppression.

[0085] Regarding the dust blocking method, in one embodiment, the road condition detection unit includes a dust concentration sensor, which is used to detect the dust concentration per unit volume of air. The dust concentration sensor signal is connected to the controller 3. When the controller 3 changes the angle of the second portion, the dust concentration changes. The dust concentration is measured by the dust concentration sensor and fed back to the controller 3.

[0086] Specifically, a dust concentration sensor monitors dust concentration in front of and behind the dust shield in real time. During neural network training, the dust shield angle is adjusted for each scenario to optimize dust suppression. Direct feedback from the dust concentration sensor can further improve control accuracy and real-time performance, but this requires addressing issues with sensor reliability and long-term stability.

[0087] Regarding the dust blocking method, in one embodiment, the heat dissipation monitoring unit includes a thermocouple temperature sensor and a Hall fan speed sensor. The thermocouple temperature sensor is used to obtain the temperature difference between the inlet and outlet of the coolant, and the Hall fan speed sensor is used to obtain the real-time fan speed.

[0088] Specifically, the thermocouple temperature sensor uses a K-type thermocouple, coupled with cold-junction temperature compensation, achieving a temperature measurement accuracy of ±0.5°C, ensuring high temperature measurement precision. The Hall effect fan speed sensor uses a bipolar Hall effect element, achieving a speed resolution of 1 rpm and providing sensitive measurement.

[0089] Regarding the dust blocking method, in one embodiment, after the controller 3 obtains the target angle, it uses the target angle and the angle fed back by the angle encoder to calculate the deviation, and uses the angle deviation and the rate of change of the angle deviation to perform adaptive PID control so that the actual angle of the second part reaches the target angle.

[0090] Specifically, adaptive PID control: PID parameters are adjusted online according to the angle deviation e and its rate of change ec. When e is large, the proportional gain kp is adaptively amplified to speed up the response; when e is small, kp is reduced to avoid overshoot; when ec is large, the differential gain kd is increased to suppress oscillation, otherwise kd is reduced to improve steady-state accuracy.

[0091] Regarding the dust shielding method, in one embodiment, the first and second parts of the dust shield are both made of lightweight, high-strength materials, have an arc-shaped design, and are connected by a hinge 5. The first part is fixed to the fan cover. The edges and corners of the dust shield's shape were aerodynamically optimized using CFD to ensure strength while minimizing airflow resistance.

[0092] The dust shield is coated with a special material, such as a super-hydrophobic coating and / or a photocatalytic coating. This material's self-cleaning properties prevent dust from adsorbing onto the shield, or allow it to automatically decompose under sunlight. This solution reduces dust accumulation on the shield at the source and extends cleaning and maintenance cycles.

[0093] In the dust blocking method of the present application, the first and second surfaces of the dust shield are coated with a super-hydrophobic coating and / or a photocatalyst coating, which fully utilizes the self-cleaning properties of the material to prevent dust from being easily adsorbed on the dust shield or automatically decomposes under sunlight, thereby reducing the accumulation of dust on the dust shield at the source and extending the cleaning and maintenance cycle.

[0094] In the description of this application, it should be noted that the terms "upper" and "lower" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be internal communication between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to the specific circumstances.

[0095] It should be noted that, in this application, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0096] The foregoing is merely a list of specific embodiments of the present application, intended to enable those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the broadest scope consistent with the principles and novel features of the present application.

Claims

1. An intelligent dust shielding device for suppressing dust from a commercial vehicle cooling fan, characterized in that: Include: The dust shield (105) comprises a first portion vertically fixed to the fan cover (106) and a second portion hinged to the bottom end of the first portion; the initial angle of the second portion relative to the first portion is a right angle; An actuator (4) is used to provide power to the second part so that the second part rotates around the hinge; A road condition detection unit (2) is used to obtain vehicle speed, road bump frequency and dust concentration in real time; A heat dissipation monitoring unit (1) is used to obtain the temperature difference between the inlet and outlet of the coolant of the radiator (103) and the real-time fan speed of the cooling fan (102); The controller (3) is used to receive data acquired by the road condition detection unit and the heat dissipation monitoring unit, calculate the optimal target angle of the second part in real time, and dynamically adjust the second part to the target angle through the actuator (4).

2. The intelligent dust shielding device for suppressing dust from a cooling fan of a commercial vehicle according to claim 1, characterized in that: The controller (3) includes a neural network model, which takes vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed as inputs, and takes the target angle of the second part as output.

3. The intelligent dust shielding device for suppressing dust from a cooling fan of a commercial vehicle according to claim 1, characterized in that: The actuator (4) comprises a stepper motor, a harmonic reducer and an angle encoder. The stepper motor drives the second part to rotate through the harmonic reducer. The angle encoder is used to monitor the angle of the second part relative to the first part in real time and feed it back to the controller (3).

4. The intelligent dust shielding device for suppressing dust from a cooling fan of a commercial vehicle according to claim 1, characterized in that: The road condition detection unit comprises a dust concentration sensor, and the dust concentration sensor signal is connected to a controller (3).

5. The intelligent dust blocking device for suppressing dust from a cooling fan of a commercial vehicle according to claim 1, characterized in that: The heat dissipation monitoring unit includes a thermocouple temperature sensor and a Hall fan speed sensor. The thermocouple temperature sensor is used to obtain the temperature difference between the inlet and outlet of the coolant, and the Hall fan speed sensor is used to obtain the real-time fan speed.

6. The intelligent dust shielding device for suppressing dust from a cooling fan of a commercial vehicle according to claim 3, characterized in that: After obtaining the target angle, the controller (3) calculates the deviation using the target angle and the angle fed back by the angle encoder, and performs adaptive PID control using the angle deviation and the rate of change of the angle deviation, so that the actual angle of the second part reaches the target angle.

7. The intelligent dust shielding device for suppressing dust from a cooling fan of a commercial vehicle according to claim 1, characterized in that: The first part and the second part of the dust shield are connected via a hinge (5), and the surfaces of the first part and the second part are coated with a super-hydrophobic coating and / or a photocatalyst coating.

8. The intelligent dust shielding device for suppressing dust from a cooling fan of a commercial vehicle according to claim 1, characterized in that: The intelligent dust shield device also includes an electrically opened and closed dust cover, which is arranged on the windward side of the dust shield plate and is in a normally closed state; when the dust concentration is greater than a set concentration threshold, the dust cover opens.

9. A dust blocking method based on the intelligent dust blocking device of claim 1, characterized in that: The following steps are involved: S1: The road condition detection unit (2) obtains the vehicle speed, road bump frequency and dust concentration in real time; at the same time, the heat dissipation monitoring unit (1) obtains the coolant inlet and outlet temperature difference of the radiator (103) and the real-time fan speed of the cooling fan (102) in real time; S2: The controller (3) receives the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference and fan real-time speed, and calculates the second optimal target angle; S3: The controller (3) adjusts the second part to the target angle through the actuator (4).

10. The dust blocking method according to claim 9, wherein: The controller (3) includes a neural network model, which takes the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed as input, and takes the target angle of the second part as output; the actuator (4) includes a stepping motor, a harmonic reducer, and an angle encoder; In step S2, the vehicle speed, road bump frequency, dust concentration, coolant inlet and outlet temperature difference, and fan real-time speed under actual working conditions are input into the neural network model, and the neural network model outputs the optimal target angle; In step S3, the controller (3) controls the stepper motor to rotate, and the stepper motor drives the second part to rotate through the harmonic reducer so that the second part reaches the target angle. The angle encoder monitors the angle of the second part relative to the first part in real time and feeds back to the controller (3).

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