Cabin air inlet flow field intelligent control method suitable for light hybrid power commercial vehicle

By real-time monitoring and adjustment of the positions of grille blades and deflectors, combined with vehicle status and temperature sensor data, dynamically optimize the cabin intake flow field of light hybrid commercial vehicles, solving the problem of excessive temperature in the cabin and improving heat dissipation Efficiency and power performance, adapt to extremely cold or extremely hot working conditions.

CN119239287APending Publication Date: 2025-01-03HEFEI UNIV OF TECH
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Patent Information

Application Number
CN202411742532.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-29
Publication Date
2025-01-03

AI Technical Summary

Technical Problem

The temperature in the cabin of a light hybrid commercial vehicle is too high, resulting in a decrease in power system efficiency and damage to the control system. The existing technology lacks an effective cabin air intake control strategy, especially in extremely cold or extremely hot conditions, which is difficult to guarantee the hybrid system. Works normally.

Method used

采用由格栅叶片、导流板、执行电机、位置传感器、AGS控制器、车辆控制器单元、发动机控制器单元、电池管理系统单元和电机控制单元组成的控制系统,通过实时监测和调整格栅叶片和导流板的位置,结合车辆状态和温度传感器数据,动态优化进气流场以提高散热效率。

Benefits of technology

It realizes efficient heat dissipation in various systems in the cabin of light hybrid commercial vehicles, improves the vehicle's power performance and environmental adaptability, reduces wind resistance and avoids airflow disorders and heat accumulation.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a cabin air inlet flow field intelligent control method suitable for a light hybrid power commercial vehicle, which is applied to a control system composed of a grating blade, a flow guide plate, two execution motors, a position sensor, a temperature sensor, an AGS controller, a vehicle controller unit VCU, an engine controller unit ECU, a battery management system unit BMS and a motor control unit PCU. The opening degree of an active air inlet grille and the position of a flow guide mechanism in a cabin are determined by combining the specific working condition of a vehicle, a related power system and an air conditioning system, and therefore the variable requirements of a hybrid power system for air inlet parameters are met; meanwhile, the problem that in a traditional active air inlet grille control method, air inlet adjustment only depends on engine state parameters, and adjustment hysteresis is generated is solved; heat accumulation caused by cyclone vortex in the cabin is avoided; and moreover, the accuracy of the basic opening numerical value is improved, and the adjustment frequency and time are reduced.
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Description

Technical Field

[0001] The invention belongs to the technical field of heat exchange of hybrid electric vehicles, and in particular relates to an intelligent control method for an air flow field of an intake air compartment at a front portion of a light hybrid electric commercial vehicle. Background Art

[0002] Light hybrid commercial vehicles are a new type of vehicle that adds an electric drive system to a light cargo commercial vehicle. This type of vehicle has great economic cost advantages in the current inter-city transportation. This type of vehicle includes a traditional fuel power system and a new motor drive system. The traditional fuel power system requires air intake to ensure combustion and heat dissipation, and the new electric drive system also requires air intake to ensure heat dissipation. The main components of the two systems are located inside the vehicle cabin. During the operation of the vehicle, the power system will generate a large amount of heat that accumulates in the cabin, causing the cabin temperature to be too high. Excessive cabin temperature will cause the power system efficiency to decrease and the control system to be damaged. Therefore, in light hybrid commercial vehicles, efficient cabin air intake control is an important guarantee for cabin heat dissipation and a prerequisite for ensuring the efficient operation of the hybrid system.

[0003] Different from internal combustion engine vehicles and pure electric vehicles, hybrid vehicles have different air intake requirements under different working conditions because they have multiple power supply modes. The active air intake grille and corresponding control strategy can dynamically adjust the opening according to the real-time working conditions and environmental conditions of the vehicle to meet the optimal cooling requirements of various vehicle systems. In addition, multiple factors such as the front air intake temperature, vehicle speed and ambient temperature must be considered. Especially under special working conditions of extreme cold or extreme heat, it is necessary to control the air intake parameters of the engine compartment through the grille, and cooperate with relevant heat exchangers to ensure the normal working environment of the battery system in the hybrid system. There is currently no mature cabin air intake control strategy on the market, especially this kind of multi-faceted control strategy, which is particularly important for hybrid models that pursue energy conservation and emission reduction.

[0004] In traditional light commercial vehicles, the air intake grille is usually fixed in shape; in pure electric light commercial vehicles, a closed air intake grille is used to reduce the impact of wind resistance; the application of hybrid power systems requires both heat dissipation and reducing wind resistance as much as possible. Traditional active air intake grilles are mainly used in small passenger cars, and the grille blades are uniformly driven by a connecting rod mechanism, with each degree of freedom of movement being consistent. The amount of air intake and the direction of airflow through the grille are not considered, resulting in turbulent airflow in the cabin, and even causing airflow vortices to cause heat accumulation, affecting cabin heat dissipation. Therefore, precise control of the cabin intake air flow field is an important direction to further improve the cabin intake control effect. Summary of the invention

[0005] The present invention aims to solve the deficiencies of the above-mentioned prior art and proposes an intelligent control method for the cabin intake air flow field suitable for a light hybrid commercial vehicle, so as to optimize the cabin air flow field of the light hybrid commercial vehicle, thereby improving the heat dissipation efficiency of various systems in the cabin and improving the adaptability of the vehicle in more environments.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme:

[0007] The invention is a method for intelligently controlling the airflow field in the cabin of a light hybrid commercial vehicle. The method is characterized in that the method is applied to a control system composed of grille blades, guide plates, two actuator motors, a position sensor, a temperature sensor, an AGS controller, a vehicle controller unit VCU, an engine controller unit ECU, a battery management system unit BMS, and a motor control unit PCU, and is performed in the following steps:

[0008] Step 1, the AGS controller sends a self-check signal to the actuator motor of the grille blade, so that the actuator motor of the grille blade starts to rotate, and drives the position of the grille blade to rotate from a closed state to a maximum opening at a constant speed, and then rotates from the maximum opening to a closed state;

[0009] Step 2, during the rotation of the grille blade, the AGS controller monitors the position of the grille blade in real time through the position sensor, and determines whether the grille blade has a fault during the self-check process according to the position signal sent by the position sensor. If so, execute step 3, otherwise, execute step 4;

[0010] Step 3, the AGS controller issues a motor torque increase instruction to the actuator motor of the grille blade, so that the actuator motor of the grille blade starts to rotate with a larger torque, and then returns to the self-check process of step 2; if the number of self-check failures exceeds a threshold, the AGS controller stops working and enters a protection sleep state;

[0011] Step 4: The AGS controller reads the pressure P of the vehicle air conditioning system through the vehicle controller unit VCU based on the CAN bus communication mode, and calculates the target pressure opening V ; Read the engine water temperature T through the engine controller unit ECU E , and calculate the target water temperature opening E ; Read the battery temperature T through the battery management system unit BMS B , and calculate the target temperature opening B ; Read the cooling water temperature T of the motor through the motor control unit PCU P, get the target cooling water temperature opening P ;

[0012] Step 5: The AGS controller selects the maximum target opening from all target openings as the final target opening. ;

[0013] Step 6: The AGS controller starts Make a judgment:

[0014] like <0%, then the opening of the grille blade is directly output as 0%;

[0015] like >100%, then the opening of the grille blade is directly output as 100%;

[0016] like If it is between 0% and 100%, proceed to step 7;

[0017] Step 7: The AGS controller collects the vehicle air conditioning system pressure P and the engine water temperature T in real time. E , battery temperature T B and motor cooling water temperature T P , respectively calculate the rate of change of the air conditioning system pressure , the rate of change of engine water temperature E , the rate of change of battery temperature B , the rate of change of the motor water temperature P ;

[0018] Step 8: If any rate of change exceeds the calibrated threshold, Make corrections to obtain the final target opening after correction 'After being sent to the execution motor of the grille blade via the LIN bus, return to step 7 and execute sequentially to realize real-time control of the grille blade; otherwise, execute step 9;

[0019] Step 9, the AGS controller collects the position of the grille blades through a position sensor, and calculates the target angle of the air guide plate inside the cabin according to the vehicle speed;

[0020] Step 10, the AGS controller determines the target angle of the guide plate. If the target angle of the guide plate exceeds the specified range, the rotation angle of the guide plate is kept unchanged; otherwise, step 11 is executed;

[0021] Step 11, the AGS controller reads the real-time temperature inside the cabin through the temperature sensor inside the cabin, which is used to calculate the compensation value K for the target angle of the deflector, thereby obtaining the final target turning angle of the deflector, and outputs it to the actuator motor of the deflector through the LIN bus to achieve real-time control of the deflector.

[0022] An electronic device of the present invention includes a memory and a processor, wherein the memory is used to store a program that supports the processor to execute the cabin intake airflow field intelligent control method, and the processor is configured to execute the program stored in the memory.

[0023] The present invention provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program executes the steps of the cabin intake airflow field intelligent control method when the computer program is executed by a processor.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. The present invention solves the problem of real-time and refined control of the cabin intake air flow field of light hybrid commercial vehicles by adopting an intelligent control method of the intake air flow field based on an active air intake grille, improves the heat dissipation efficiency of various systems in the vehicle cabin, and enhances the vehicle's power performance.

[0026] 2. The present invention solves the problem of turbulent air flow field at different openings of the active air intake grille through real-time coordination between the active air intake grille and the guide plate inside the cabin, improves the application effect of the active air intake grille, and reduces the wind resistance generated during vehicle operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a flow chart of the active air intake grille control method of the present invention;

[0028] Figure 2 This is a flow chart of the control of the flow field guiding mechanism in the cabin of the present invention;

[0029] Figure 3 A framework diagram of hardware signals for implementing the control method of the present invention. DETAILED DESCRIPTION

[0030] In this embodiment, a method for intelligently controlling the air flow field in the cabin of a light hybrid commercial vehicle is applied to a control system composed of grille blades, guide plates, two actuator motors, position sensors, temperature sensors, AGS controllers, vehicle controller units VCU, engine controller units ECU, battery management system units BMS, and motor control units PCU, and real-time position monitoring and adjustment of grille blades and guide plates are performed, thereby adjusting and optimizing the cabin air intake according to the vehicle status. Specifically, the method is performed in the following steps:

[0031] Step 1. The AGS controller sends a self-test signal to the actuator motor of the grille blades, causing the actuator motor of the grille blades of the active air intake grille located at the head of the vehicle to start rotating, and driving the position of the grille blades from a closed state to rotate at a constant speed to the maximum opening. At this time, the grille blades should be in a horizontal position and the air intake area is also the largest; then rotate from the maximum opening to a closed state, at which time the grille blades are vertical to the ground, and the upper and lower blade edges contact to form a unified sealing plane; the rotation angle of the grille blades covers all working conditions during the working process, and this self-test execution process can efficiently detect grille faults.

[0032] Step 2. During the rotation of the grille blades, the AGS controller monitors the angular position of the grille blades in real time through the position sensor, and determines whether there is a fault in the operation of the grille blades during the self-check process performed in step 1 based on the position signal sent by the position sensor. If so, execute step 3; otherwise, execute step 4. The sensor used to detect the position of the grille blades is generally integrated with the actuator, and can accurately and real-time feedback the rotation position of the grille blades.

[0033] Step 3: In order to further detect whether the grille blades are stuck by foreign objects or restricted by external forces, it is necessary to further increase the torque of the blade rotation and try to troubleshoot the problem. The AGS controller issues a command to increase the motor torque of the grille blade actuator motor, so that the grille blade actuator motor starts to rotate with a larger torque and returns to the self-test process of step 2; if the self-test fails more than 10 times, the AGS controller stops sending commands and enters a protective sleep state. In this state, the grille blades maintain their maximum opening to prevent the power system from overheating and shutting down due to the intake volume not meeting the heat dissipation requirements.

[0034] Step 4: In the process of determining the opening of the air intake grille, the decision-making process of the AGS controller is as follows: As shown, the AGS controller reads the pressure P of the vehicle air conditioning system through the vehicle controller unit VCU based on the CAN bus communication method, and calculates the target pressure opening V ; Read the engine water temperature T through the engine controller unit ECUE , and calculate the target water temperature opening E ; Read the battery temperature T through the battery management system unit BMS B , and calculate the target temperature opening B ; Read the cooling water temperature T of the motor through the motor control unit PCU P , get the target cooling water temperature opening P The above opening results are obtained based on the calibration test results. This MAP-based control method can greatly improve the responsiveness of the control system and enhance the control effect. The refinement of the calibration data can increase the robustness of the control system.

[0035] Step 5: Figure 1 As shown in the figure, during the operation of the AGS controller, the maximum target opening is selected from all target openings as the output target opening. ; This output opening can take into account the heat dissipation requirements of all systems and prevent the phenomenon of insufficient wall air intake.

[0036] Step 6: Target opening based on the output of step 5 , the AGS controller starts Make a judgment:

[0037] like <0%, the opening of the grille blade is directly output to be 0%;

[0038] like >100%, then the opening of the grille blade is directly output as 100%; the decision-making process of this step is to ensure the accuracy of the output target;

[0039] like If it is between 0% and 100%, it means the output result is within the normal range, then proceed to step 7;

[0040] Step 7: In order to improve the accuracy and control effect of the control method, the output target value of the controller needs to be dynamically optimized. The optimization process is mainly based on the key state parameters of the power system collected by the controller, such as vehicle air conditioning system pressure, engine water temperature, battery temperature and motor water temperature; the change range of these key parameters will directly affect the stability of the power system operation. The AGS controller collects the vehicle air conditioning system pressure P, engine water temperature T in real time, and the engine water temperature T E , battery temperature T B and motor cooling water temperature T P , respectively calculate the rate of change of the air conditioning system pressure , the rate of change of engine water temperature E , the rate of change of battery temperature B , the rate of change of the motor water temperature P ;

[0041] Step 8: If the rate of increase of the key parameter in step 7 exceeds the threshold, Correction is made, compensation K2 is made to the target opening, and the target opening is obtained after the opening is judged again. 1; If the decreasing rate of the key parameter in step 7 exceeds the threshold, Correction is made, compensation K3 is made to the target opening, and the target opening is obtained after the opening is judged again. 2; wherein the threshold value is a specific value obtained from a thermal balance test of the vehicle, and the compensation values ​​of K2 and K3 are experimental data obtained from a thermal balance test of the vehicle.

[0042] Step 9: After the AGS controller outputs the above opening value, it will continue to execute in sequence from step 6 to make judgments and dynamic adjustments. Figure 3 As shown, after the corrected final target opening is sent to the execution motor of the grille blade via the LIN bus, the process returns to step 7 for sequential execution to achieve real-time control of the grille blade. When the change rate of the key parameter in step 7 does not exceed the threshold, step 10 is executed.

[0043] Step 10: Figure 2 As shown, the AGS controller starts to execute the command output for the deflector in the cabin. The AGS controller determines the target angle of the deflector based on the active air intake grille blade position and the vehicle speed, and determines whether the target value is within the specified range (0%~100%). If it exceeds the specified range, the deflector position remains unchanged; if the target value is within the specified range, step 11 is executed;

[0044] Step 11, the AGS controller reads the cabin temperature through the cabin temperature sensor, and compensates the deflector rotation target value, and the compensation value is K, and finally outputs the final target rotation angle of the deflector; wherein, the compensation value K is a calibrated value obtained according to the vehicle thermal balance test. Adding this compensation correction in the method helps to enhance the control effect of the control system.

[0045] Step 12: After the AGS controller outputs the final target angle to the actuator motor of the guide plate through the LIN bus, it returns to step 10 to perform opening judgment and real-time correction of the target angle.

[0046] In this embodiment, an electronic device includes a memory and a processor, wherein the memory is used to store a program that supports the processor to execute the above method, and the processor is configured to execute the program stored in the memory.

[0047] In this embodiment, a computer-readable storage medium stores a computer program on the computer-readable storage medium, and the computer program executes the steps of the above method when executed by a processor.

[0048] In summary, the method of the present invention combines the specific working conditions of the vehicle, as well as the relevant power system and air-conditioning system to determine the opening of the active air intake grille and the position of the air guide mechanism in the cabin, thereby solving the variable requirements of the hybrid power system for the intake parameters; at the same time, it solves the adjustment lag problem caused by the traditional active air intake grille control method that only relies on the engine state parameters to adjust the intake; avoids the heat accumulation caused by the cyclonic vortex in the cabin; and improves the accuracy of the basic opening value, reducing the adjustment frequency and time.

Claims

1. An intelligent control method for cabin intake air flow field applicable to a light hybrid commercial vehicle, characterized in that: It is applied to the control system composed of grille blades, guide plates, 2 actuator motors, position sensors, temperature sensors, AGS controller, vehicle controller unit VCU, engine controller unit ECU, battery management system unit BMS, motor control unit PCU, and is carried out in the following steps: Step 1, the AGS controller sends a self-check signal to the actuator motor of the grille blade, so that the actuator motor of the grille blade starts to rotate, and drives the position of the grille blade to rotate from a closed state to a maximum opening at a constant speed, and then rotates from the maximum opening to a closed state; Step 2, during the rotation of the grille blade, the AGS controller monitors the position of the grille blade in real time through the position sensor, and determines whether the grille blade has a fault during the self-check process according to the position signal sent by the position sensor. If so, execute step 3, otherwise, execute step 4; Step 3, the AGS controller issues a motor torque increase instruction to the grille blade actuator motor, so that the grille blade actuator motor starts to rotate with a larger torque, and then returns to the self-check process of step 2; If the number of self-test failures exceeds the threshold, the AGS controller stops working and enters a protection sleep state; Step 4: The AGS controller reads the pressure P of the vehicle air conditioning system through the vehicle controller unit VCU based on the CAN bus communication mode, and calculates the target pressure opening V ; Read the engine water temperature T through the engine controller unit ECU E , and calculate the target water temperature opening E ; Read the battery temperature T through the battery management system unit BMS B , and calculate the target temperature opening B ; Read the cooling water temperature T of the motor through the motor control unit PCU P , get the target cooling water temperature opening P ; Step 5: The AGS controller selects the maximum target opening from all target openings as the final target opening. ; Step 6: The AGS controller starts Make a judgment: like <0%, then the opening of the grille blade is directly output as 0%; like >100%, then the opening of the grille blade is directly output as 100%; like If it is between 0% and 100%, proceed to step 7; Step 7: The AGS controller collects the vehicle air conditioning system pressure P and the engine water temperature T in real time. E , battery temperature T B and motor cooling water temperature T P , respectively calculate the rate of change of the air conditioning system pressure , the rate of change of engine water temperature E , the rate of change of battery temperature B , the rate of change of the motor water temperature P ; Step 8: If any rate of change exceeds the calibrated threshold, Make corrections to obtain the final target opening after correction 'After being sent to the execution motor of the grille blade via the LIN bus, return to step 7 and execute sequentially to realize real-time control of the grille blade; otherwise, execute step 9; Step 9, the AGS controller collects the position of the grille blades through a position sensor, and calculates the target angle of the air guide plate inside the cabin according to the vehicle speed; Step 10, the AGS controller determines the target angle of the guide plate, and if the target angle of the guide plate exceeds a specified range, the rotation angle of the guide plate is kept unchanged; Otherwise, go to step 11; Step 11, the AGS controller reads the real-time temperature inside the cabin through the temperature sensor inside the cabin, which is used to calculate the compensation value K for the target angle of the deflector, thereby obtaining the final target turning angle of the deflector, and outputs it to the actuator motor of the deflector through the LIN bus to achieve real-time control of the deflector.

2. An electronic device, comprising a memory and a processor, characterized in that: The memory is used to store a program that supports the processor to execute the cabin intake airflow field intelligent control method according to claim 1, and the processor is configured to execute the program stored in the memory.

3. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the cabin intake airflow field intelligent control method of claim 1 are executed.

Citation Information

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