CN117284076A - Control method and device for active air inlet grille, computer equipment and storage medium - Google Patents

Control method and device for active air inlet grille, computer equipment and storage medium Download PDF

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Publication number
CN117284076A
CN117284076A CN202311178777.2A CN202311178777A CN117284076A CN 117284076 A CN117284076 A CN 117284076A CN 202311178777 A CN202311178777 A CN 202311178777A CN 117284076 A CN117284076 A CN 117284076A
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China
Prior art keywords
energy consumption
thermal management
vehicle speed
intervals
grid opening
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CN202311178777.2A
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CN117284076B (en
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郑登磊
何勇
温方勇
文浩懿
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Thalys Automobile Co ltd
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Thalys Automobile Co ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K11/00—Arrangement in connection with cooling of propulsion units
    • B60K11/08—Air inlets for cooling; Shutters or blinds therefor
    • B60K11/085—Air inlets for cooling; Shutters or blinds therefor with adjustable shutters or blinds
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K11/00—Arrangement in connection with cooling of propulsion units
    • B60K11/06—Arrangement in connection with cooling of propulsion units with air cooling
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/80—Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
    • Y02T10/88—Optimized components or subsystems, e.g. lighting, actively controlled glasses

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Cooling, Air Intake And Gas Exhaust, And Fuel Tank Arrangements In Propulsion Units (AREA)

Abstract

The application relates to the technical field of new energy automobiles, in particular to a control method and device of an active air inlet grille, computer equipment and a storage medium. The method comprises the following steps: obtaining a first grid opening curve corresponding to the driving energy consumption lower than a preset driving energy consumption threshold according to the obtained current environment temperature, the current vehicle speed and the first fitting relation; obtaining a second grid opening curve corresponding to the heat management energy consumption lower than a preset heat management energy consumption threshold according to the obtained current environment temperature, the current vehicle speed, the current heat management working condition and a second fitting relation; according to the first grating opening curve and the second grating opening curve, at least one final grating opening is obtained based on the principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the total energy consumption is lower than a preset total energy consumption threshold; the control grid is opened according to any one of the at least one final grid opening. The method can improve the phenomenon of single control mode in the prior art.

Description

Control method and device for active air inlet grille, computer equipment and storage medium
Technical Field
The application relates to the technical field of new energy automobiles, in particular to a control method and device of an active air inlet grille, computer equipment and a storage medium.
Background
The active air inlet grille (Active Grille System, AGS) can be opened when the engine needs cooling, and closed when the engine does not need cooling, so that the engine is heated up rapidly, and can be closed when heat dissipation is not needed, and wind resistance is reduced.
The conventional active air inlet grille control mode mainly carries out stepping control on the opening of the grille according to temperature, speed and the like, and can be generally divided into 3-5 steps. The control mode is single, and if the grille is opened too little, the air inlet quantity is reduced, so that the control mode is against the requirement of vehicle heat management; if too many grids are opened, wind resistance is increased, especially on highways, so that the driving energy consumption of the vehicle is increased.
Disclosure of Invention
Based on the above, a control method, a device, a computer device and a storage medium for an active air inlet grille are provided, so as to improve the phenomenon that the control mode is single in the prior art.
In a first aspect, a method for controlling an active grille shutter is provided, the method comprising:
acquiring a current environment temperature, a current vehicle speed, a preset first fitting relation and a driving energy consumption threshold; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption;
Obtaining a first grid opening curve corresponding to the driving energy consumption lower than the driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation;
acquiring a current thermal management working condition, a preset second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition;
obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation;
according to the first grating opening curve and the second grating opening curve, at least one final grating opening is obtained based on the principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the principle that the total energy consumption is lower than a preset total energy consumption threshold;
and opening the control grid according to any one of the at least one final grid opening.
With reference to the first aspect, in a first implementation manner of the first aspect, before the step of obtaining the preset first fitting relation, the method further includes:
Acquiring a plurality of preset ambient temperatures, a plurality of vehicle speed intervals and a plurality of grid opening intervals;
calculating corresponding driving energy consumption under different combinations of the ambient temperature, the vehicle speed interval and the grid opening interval;
and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption corresponding to the grid opening intervals to obtain a first fitting relation.
With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the step of performing data fitting on the plurality of ambient temperatures, the plurality of vehicle speed intervals, the plurality of grid opening intervals, and the corresponding plurality of driving energy consumption to obtain the first fitting relationship includes:
a first polynomial regression model is established for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption by adopting a polynomial regression method;
and optimizing the first polynomial regression model to obtain a first polynomial regression parameter, and determining the first fitting relation according to the first polynomial regression parameter.
With reference to the first aspect, in a third implementation manner of the first aspect, before the step of obtaining the preset second fitting relation, the method further includes:
acquiring a plurality of preset vehicle speed intervals, a plurality of grating opening intervals, a plurality of environment temperatures and a plurality of thermal management working conditions;
calculating corresponding thermal management energy consumption under different combinations of the environment temperature, the vehicle speed interval, the grid opening interval and the thermal management working conditions;
and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions to obtain the second fitting relation.
With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the step of performing data fitting on the plurality of ambient temperatures, the plurality of vehicle speed intervals, the plurality of grid opening intervals, and the thermal management energy consumption corresponding to the plurality of thermal management conditions to obtain the second fitting relationship includes:
a polynomial regression method is adopted for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions, and a second polynomial regression model is established;
And optimizing the second polynomial regression model to obtain a second polynomial regression parameter, and determining the second fitting relation according to the second polynomial regression parameter.
With reference to the third possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect, the plurality of thermal management conditions includes a first cooling condition, a second cooling condition, and a mixed condition; wherein the first cooling condition is indicative of a single cooling mode being turned on and an electric drive circuit cooling mode being turned on; the second cooling condition means that any two or more of the following modes are turned on: a multiple cooling mode, an electric drive circuit cooling mode, a battery cooling mode, and a passenger compartment cooling mode; the mixed mode indicates an on cooling mode and a heating mode.
With reference to the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the calculating the corresponding thermal management energy consumption under the combination of the different ambient temperature, the vehicle speed interval, the grille opening interval, and the thermal management condition includes:
when the thermal management working condition is the first cooling working condition, calculating water pump energy consumption and fan energy consumption, and taking the sum of the water pump energy consumption and the fan energy consumption as the thermal management energy consumption corresponding to the first cooling working condition;
When the thermal management working condition is the second cooling working condition, calculating water pump energy consumption, fan energy consumption and compressor energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption and the compressor energy consumption as thermal management energy consumption corresponding to the second cooling working condition;
and when the thermal management working condition is the mixed working condition, calculating water pump energy consumption, fan energy consumption, compressor energy consumption and heater energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption, the compressor energy consumption and the heater energy consumption as the thermal management energy consumption corresponding to the mixed working condition.
In a second aspect, there is provided a control device for an active grille, the device comprising:
the first parameter acquisition unit is used for acquiring the current environment temperature, the current vehicle speed, a preset first fitting relation and a driving energy consumption threshold; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption;
the first parameter processing unit is used for obtaining a first grid opening curve corresponding to the driving energy consumption lower than the driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation;
The second parameter acquisition unit is used for acquiring the current thermal management working condition, a preset second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition;
the second parameter processing unit is used for obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation;
the parameter comprehensive processing unit is used for obtaining at least one final grid opening based on a principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the total energy consumption is lower than a preset total energy consumption threshold according to the first grid opening curve and the second grid opening curve;
and the grid control unit is used for controlling the grid to be opened according to any one of the at least one final grid opening.
In a third aspect, a computer device is provided, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for controlling an active grille shutter according to the first aspect or any of the embodiments in combination with the first aspect when the computer program is executed.
In a fourth aspect, a computer readable storage medium is provided, on which a computer program is stored, which when being executed by a processor, implements the steps of the method for controlling an active grille shutter according to the first aspect or any of the embodiments in combination with the first aspect.
The control method, the control device, the computer equipment and the storage medium of the active air inlet grille acquire the current environment temperature, the current vehicle speed, the preset first fitting relation and the driving energy consumption threshold; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption; obtaining a first grid opening curve corresponding to the driving energy consumption lower than a driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation; acquiring a current thermal management working condition, a preset second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition; obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation; according to the first grating opening curve and the second grating opening curve, at least one final grating opening is obtained based on the principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the total energy consumption is lower than a preset total energy consumption threshold; the control grid is opened according to any one of the at least one final grid opening. By the control method of the active air inlet grille, when the grille is controlled to be opened or closed, the heat management energy consumption and the driving energy consumption of the vehicle can be simultaneously considered, the energy consumption cannot be violated with the requirement of the heat management of the vehicle, and the driving energy consumption of the vehicle cannot be excessively large. Therefore, compared with the prior art, the application has the beneficial effects that: the phenomenon that the control mode is single in the prior art is improved, and the compatibility is improved.
Drawings
FIG. 1 is an application environment diagram of a control method of an active grille in accordance with one embodiment;
FIG. 2 is a flow chart of a method of controlling an active grille in accordance with one embodiment;
FIG. 3 is a block diagram of a control device for an active grille in accordance with one embodiment;
FIG. 4 is a block diagram of a control device for an active grille in accordance with one embodiment;
fig. 5 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
It should be noted that, the illustrations provided in the present embodiment merely illustrate the basic concepts of the application by way of illustration, and only the components related to the application are shown in the drawings, rather than being drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complex.
The structures, proportions, sizes, etc. shown in the drawings attached hereto are for illustration purposes only and should not be construed as limiting the scope of the invention, since any structural modifications, changes in proportions, or adjustments of sizes, which may be made by those skilled in the art, should not be construed as limiting the scope of the invention, which is otherwise, limited to the specific embodiments disclosed herein, without affecting the efficiency and objects attained by the subject invention.
References in this specification to orientations or positional relationships as indicated by "upper", "lower", "left", "right", "intermediate", "longitudinal", "transverse", "horizontal", "inner", "outer", "radial", "circumferential", etc., are based on the orientation or positional relationships shown in the drawings, and are for ease of description only, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and are not to be construed as limiting the application. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The control method of the active air inlet grille can be applied to an application environment as shown in fig. 1, wherein a vehicle end 102 communicates with a cloud server 104 through a network. The vehicle end 102 uploads the obtained current environmental temperature, the current vehicle speed and the current thermal management working condition to the cloud server 104, and the cloud server 104 obtains a preset first fitting relation, a driving energy consumption threshold, a second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition; obtaining a first grid opening curve corresponding to the driving energy consumption lower than a driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation; obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation; according to the first grating opening curve and the second grating opening curve, at least one final grating opening is obtained based on the principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the total energy consumption is lower than a preset total energy consumption threshold; the control grid is opened according to any one of the at least one final grid opening, so that the phenomenon that the heat management requirement and the driving energy consumption are not considered in the prior art, and the control mode is single is improved.
The control method of the active air inlet grille, provided by the application, CAN also be applied to a vehicle-end whole-vehicle-area controller (Vehicle Domain Controller, VDC) and an active air inlet grille (Active Grille System, AGS) arranged at the front part of a vehicle, wherein the VDC CAN be connected with the AGS through a controller local area network bus (Controller Area Network, CAN) or a local connection network bus (Local Interconnect Network, LIN); and the VDC controls the rotation of the AGS motor by sending a bus control signal carrying at least one final grid opening degree, so as to realize the control of the AGS opening angle. Next, the present application will be described in detail by the following examples.
In one embodiment, as shown in fig. 2, a control method of an active air intake grille is provided, and the method is applied to VDC for illustration, and includes the following steps:
s201: acquiring a current environment temperature, a current vehicle speed, a preset first fitting relation and a driving energy consumption threshold; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption.
Considering the rapid change of the actual vehicle speed and the stability of the grid opening degree in the subsequent process, the current vehicle speed can be obtained by weighting calculation according to the collected actual vehicle speed and the average vehicle speed of the previous period, wherein the previous period can be set to be 30s before.
Before the step of obtaining the preset first fitting relation, the method further comprises the step of generating the first fitting relation, and specifically comprises the following steps: acquiring a plurality of preset ambient temperatures, a plurality of vehicle speed intervals and a plurality of grid opening intervals; calculating corresponding driving energy consumption under different combinations of the ambient temperature, the vehicle speed interval and the grid opening interval; and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption corresponding to the grid opening intervals to obtain a first fitting relation.
The step of performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption to obtain the first fitting relation includes: a first polynomial regression model is established for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption by adopting a polynomial regression method; and optimizing the first polynomial regression model to obtain a first polynomial regression parameter, and determining the first fitting relation according to the first polynomial regression parameter.
For example, the vehicle speed and the AGS opening degree are subjected to a segmentation process, such as the vehicle speed being classified into [0, 60 ], [60, 80 ], [80, 100 ], [100, 100+); AGS opening is divided into [0, 40), [40, 60), [60, 80), [80, 80+); assuming that the number of the ambient temperatures is 3, and the 3 ambient temperatures are 20 ℃, 28 ℃ and 35 ℃ respectively; there are 4×4×3=48 different combinations of vehicle speed sections, grille opening sections, and ambient temperatures based on the example of 4 vehicle speed sections, 4 grille opening sections, and 3 ambient temperatures.
For each combination mode, a full factor test can be performed in a ring model laboratory, or a system simulation can be performed, and under standard working conditions, such as a new European driving period (New European Driving Cycle, NEDC), a Chinese light automobile driving working condition (China Light Vehicle Test Cycle, CLTC) or a world light automobile test cycle working condition (World Light Vehicle Test Cycle, WLTC), the driving energy consumption of the automobile in different automobile speed intervals, grille opening intervals and environment temperatures can be calculated, wherein the driving energy consumption can be obtained by multiplying the working voltage and the working current of the driving motor.
Thus, 48 different combination modes can be obtained, and each combination mode has a vehicle speed section, a grid opening section, an ambient temperature and driving energy consumption. Data fitting is performed on the 48 data in the combination mode, and a first fitting relation is obtained. In the step of data fitting, map table, linear regression, polynomial regression, and the like may be used. For example, a polynomial regression mode is adopted, a polynomial regression model is established, higher-order terms of the ambient temperature, the vehicle speed and the grid opening degree are added into the polynomial regression model, and a first polynomial regression model is established according to the relation between the polynomial terms and the driving energy consumption; training the first polynomial regression model through 48 combination mode data, and estimating the optimal first polynomial regression parameters; and determining a first fitting relation through the first polynomial regression parameters.
S202: and obtaining a first grid opening curve corresponding to the driving energy consumption lower than the driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation.
After the first fitting relation is generated, the first fitting relation is applied, a mapping curve between at least one corresponding grid opening interval and driving energy consumption can be determined according to the current environment temperature and the current vehicle speed, and based on the mapping curve, a mapping curve between at least one grid opening interval with the driving energy consumption lower than a preset energy consumption interval threshold value and the driving energy consumption, namely a first grid opening curve, can be obtained.
S203: acquiring a current thermal management working condition, a preset second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition.
Before the step of obtaining the preset second fitting relation, the method further comprises the step of generating the second fitting relation, and specifically comprises the following steps: acquiring a plurality of preset vehicle speed intervals, a plurality of grating opening intervals, a plurality of environment temperatures and a plurality of thermal management working conditions; calculating corresponding thermal management energy consumption under different combinations of the environment temperature, the vehicle speed interval, the grid opening interval and the thermal management working conditions; and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions to obtain the second fitting relation.
The step of performing data fitting on the plurality of environmental temperatures, the plurality of vehicle speed intervals, the plurality of grid opening intervals and the thermal management energy consumption corresponding to the plurality of thermal management working conditions to obtain the second fitting relation includes: a polynomial regression method is adopted for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions, and a second polynomial regression model is established; and optimizing the second polynomial regression model to obtain a second polynomial regression parameter, and determining the second fitting relation according to the second polynomial regression parameter.
The plurality of thermal management conditions include a first cooling condition, a second cooling condition, and a mixing condition; the first cooling working condition represents a single cooling mode and an electric drive loop cooling mode, and is generally used for a thermal management scene that a vehicle battery has no cooling requirement, a vehicle air conditioner is not started and a vehicle electric drive loop has cooling requirement; the second cooling condition means that any two or more of the following modes are turned on: a multi-cooling mode, an electric drive circuit cooling mode, a battery cooling mode, and a passenger compartment cooling mode, typically for a vehicle electric drive circuit, having a cooling requirement, and a thermal management scenario of at least one of a battery cooling requirement and an air conditioning cooling requirement; the hybrid operating mode represents an on cooling mode and a heating mode, and is generally used for thermal management situations where heating and cooling requirements exist simultaneously in requirements such as a vehicle electric drive loop cooling requirement, a battery heating requirement, an air conditioning cooling requirement, and an air conditioning heating requirement.
The exemplary manner in which whether a vehicle battery has a heating or cooling demand may include: when the temperature of the battery of the vehicle is higher than a preset first threshold, for example 38 ℃, or other first threshold, the battery needs to be cooled, i.e. the battery has a cooling requirement; when the temperature of the battery of the vehicle is lower than a preset second threshold value, for example-10 ℃ or other values of the second threshold value, the battery needs to be heated, namely the battery needs to be heated; when the vehicle battery temperature is below the first threshold and above the second threshold, the battery has no thermal management requirements.
The method for judging whether the electric drive loop has a cooling requirement can comprise the following steps: when the temperature of the parts of the electric drive loop is higher than a preset third threshold, for example, the temperature of the motor is higher than the third threshold, the third threshold can be 50 ℃, or the temperature of the direct current converter or the vehicle-mounted charger is higher than the third threshold, the third threshold can be 40 ℃, and the like, and the electric drive loop needs to be cooled, namely, the electric drive loop has a cooling requirement; when the temperature of the parts is lower than a preset fourth threshold, for example, the temperature of the motor is lower than the fourth threshold, the fourth threshold may be 45 ℃, or the temperature of the direct-current converter or the vehicle-mounted charger is lower than the fourth threshold, the fourth threshold may be 35 ℃, and the like, the electric drive loop does not need to be cooled down, i.e. the electric drive loop does not need to be cooled down. The specific values of the first threshold, the second threshold, the third threshold and the fourth threshold can be obtained through real vehicle testing under standard working conditions.
Therefore, according to the three heat management working conditions obtained in the dividing mode, the current heat management working condition is one of a first cooling working condition, a second cooling working condition and a mixed working condition. And each thermal management working condition is preset with a corresponding thermal management energy consumption threshold, and the thermal management energy consumption threshold can be obtained by performing a full factor test in a ring model laboratory or performing system simulation. Specifically, under standard working conditions, such as NEDC, CLTC or WLTC, thermal management energy consumption thresholds of the vehicle under different vehicle speed intervals, grille opening intervals and thermal management working conditions are calculated.
Under the combination of different environmental temperatures, different vehicle speed intervals, different grid opening intervals and different thermal management working conditions, the step of calculating the corresponding thermal management energy consumption comprises the following steps: when the thermal management working condition is the first cooling working condition, calculating water pump energy consumption and fan energy consumption, and taking the sum of the water pump energy consumption and the fan energy consumption as the thermal management energy consumption corresponding to the first cooling working condition; when the thermal management working condition is the second cooling working condition, calculating water pump energy consumption, fan energy consumption and compressor energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption and the compressor energy consumption as thermal management energy consumption corresponding to the second cooling working condition; and when the thermal management working condition is the mixed working condition, calculating water pump energy consumption, fan energy consumption, compressor energy consumption and heater energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption, the compressor energy consumption and the heater energy consumption as the thermal management energy consumption corresponding to the mixed working condition.
The energy consumption of the water pump can be calculated according to the pulse width modulation (Pulse Width Modulation, PWM) duty ratio of the water pump and the water pump power consumption, and the water pump power consumption can be calculated according to the working voltage and the working current of the water pump; similarly, the fan energy consumption can be calculated according to the PWM duty ratio of the fan and the fan power consumption, and the fan power consumption can be calculated according to the working voltage and the working current of the fan; the energy consumption of the compressor can be calculated according to the working voltage and the working current of the compressor; the heater can be a PTC heater, and the energy consumption of the PTC heater can be calculated according to the working voltage and the working current of the PTC heater.
For example, the vehicle speed and the AGS opening degree are subjected to a segmentation process, such as the vehicle speed being classified into [0, 60 ], [60, 80 ], [80, 100 ], [100, 100+); AGS opening is divided into [0, 40), [40, 60), [60, 80), [80, 80+); assuming that the number of the environmental temperatures is 3, and the 3 environmental temperatures are 20 ℃, 28 ℃ and 35 ℃ respectively, and the thermal management working conditions are a mixed working condition, a first cooling working condition and a second cooling working condition respectively; there are 4 x 3 = 144 different combinations of vehicle speed intervals, grille opening intervals, ambient temperature, and thermal management conditions based on the example 4 vehicle speed intervals, 4 grille opening intervals, 3 ambient temperature, and 3 thermal management conditions.
For each combination mode, a full factor test can be performed in a ring model laboratory, or a system simulation is performed, and under standard working conditions, such as NEDC, CLTC or WLTC, the thermal management energy consumption corresponding to different vehicle speed intervals, grid opening intervals, ambient temperature and thermal management working conditions is calculated. After the thermal management energy consumption under all the combination modes is calculated, data fitting is carried out on the data of the 144 combination modes, and a second fitting relation is obtained.
In the step of data fitting, modes such as Map table, linear regression, polynomial regression and the like can be adopted. For example, a polynomial regression mode is adopted, a polynomial regression model is established, higher-order terms of the ambient temperature, the vehicle speed and the grid opening degree are added into the polynomial regression model, and a second polynomial regression model is established according to the relation between the polynomial terms and the thermal management energy consumption; training the second polynomial regression model through 144 combination mode data, and estimating the optimal second polynomial regression parameters; and determining a second fitting relation through a second polynomial regression parameter.
S204: and obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation.
After the second fitting relation is generated, the second fitting relation is applied, a mapping curve between at least one corresponding grid opening interval and thermal management energy consumption can be determined according to the current environment temperature, the current vehicle speed and the current thermal management working condition, and based on the mapping curve, a mapping curve of at least one grid opening interval and thermal management energy consumption, namely a second grid opening curve, of which the thermal management energy consumption is lower than a thermal management energy consumption threshold corresponding to the current thermal management working condition can be obtained.
S205: according to the first grating opening curve and the second grating opening curve, at least one final grating opening is obtained based on the principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the principle that the total energy consumption is lower than a preset total energy consumption threshold;
s206: and opening the control grid according to any one of the at least one final grid opening.
After a first grating opening curve and a second grating opening curve are obtained according to the steps, adding the first grating opening curve and the second grating opening curve, and taking a point with the minimum sum of the driving energy consumption and the thermal management energy consumption as a final grating opening according to the principle of the lowest total energy consumption; or according to the principle that the total energy consumption is lower than a preset total energy consumption threshold, namely taking at least one point that the sum of the driving energy consumption and the thermal management energy consumption is lower than the total energy consumption threshold as the corresponding final grid opening. The grille is opened according to any final grille opening, so that the driving energy consumption and the thermal management energy consumption of the vehicle can be simultaneously considered, and the phenomenon of single control mode in the prior art is improved. If the active air inlet grille fails due to over-temperature, over-pressure, under-pressure or over-limit, the grille can be directly controlled to be opened according to the opening of 100%.
In summary, by the control method of the active air inlet grille, when the grille is controlled to be opened or closed, the thermal management energy consumption and the driving energy consumption of the vehicle can be simultaneously considered, the violation with the requirement of the thermal management of the vehicle can be avoided, the driving energy consumption of the vehicle can be avoided, the phenomenon that the control mode is single in the prior art is improved, and the compatibility is improved.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps may be performed in other orders, unless explicitly stated herein, and the steps may be performed in other orders, e.g., the steps of obtaining a first grille-opening curve and obtaining a second grille-opening curve may be performed simultaneously, in order to increase the control rate. Moreover, at least some of the steps in fig. 2 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
In one embodiment, as shown in fig. 3, there is provided a control device of an active intake grille, including:
the first parameter acquisition unit is used for acquiring the current environment temperature, the current vehicle speed, a preset first fitting relation and a driving energy consumption threshold; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption;
the first parameter processing unit is used for obtaining a first grid opening curve corresponding to the driving energy consumption lower than the driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation;
the second parameter acquisition unit is used for acquiring the current thermal management working condition, a preset second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition;
the second parameter processing unit is used for obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation;
The parameter comprehensive processing unit is used for obtaining at least one final grid opening based on a principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the total energy consumption is lower than a preset total energy consumption threshold according to the first grid opening curve and the second grid opening curve;
and the grid control unit is used for controlling the grid to be opened according to any one of the at least one final grid opening.
In a specific embodiment, as shown in fig. 4, the apparatus further includes a first fitting relationship generating unit, before the first parameter obtaining unit obtains the preset first fitting relationship, configured to: acquiring a plurality of preset ambient temperatures, a plurality of vehicle speed intervals and a plurality of grid opening intervals; calculating corresponding driving energy consumption under different combinations of the ambient temperature, the vehicle speed interval and the grid opening interval; and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption corresponding to the grid opening intervals to obtain a first fitting relation.
Further, the first fitting relation generating unit is configured to perform data fitting on the plurality of ambient temperatures, the plurality of vehicle speed intervals, the plurality of grid opening intervals, and the corresponding plurality of driving energy consumption, to obtain the first fitting relation, where the step includes: a first polynomial regression model is established for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption by adopting a polynomial regression method; and optimizing the first polynomial regression model to obtain a first polynomial regression parameter, and determining the first fitting relation according to the first polynomial regression parameter.
In a specific embodiment, as shown in fig. 4, the apparatus further includes a second fitting relationship generating unit, before the step of acquiring the preset second fitting relationship by the second parameter acquiring unit, configured to: acquiring a plurality of preset vehicle speed intervals, a plurality of grating opening intervals, a plurality of environment temperatures and a plurality of thermal management working conditions; calculating corresponding thermal management energy consumption under different combinations of the environment temperature, the vehicle speed interval, the grid opening interval and the thermal management working conditions; and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions to obtain the second fitting relation.
Further, the second fitting relation generating unit is configured to perform data fitting on the plurality of environmental temperatures, the plurality of vehicle speed intervals, the plurality of grid opening intervals, and thermal management energy consumption corresponding to the plurality of thermal management working conditions, to obtain the second fitting relation, where the step includes: a polynomial regression method is adopted for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions, and a second polynomial regression model is established; and optimizing the second polynomial regression model to obtain a second polynomial regression parameter, and determining the second fitting relation according to the second polynomial regression parameter.
Specifically, the plurality of thermal management conditions include a first cooling condition, a second cooling condition, and a mixture condition; wherein the first cooling condition is indicative of a single cooling mode being turned on and an electric drive circuit cooling mode being turned on; the second cooling condition means that any two or more of the following modes are turned on: a multiple cooling mode, an electric drive circuit cooling mode, a battery cooling mode, and a passenger compartment cooling mode; the mixed mode indicates an on cooling mode and a heating mode.
Specifically, the step of calculating the corresponding thermal management energy consumption under the combination of different environmental temperatures, different vehicle speed intervals, different grid opening intervals and different thermal management conditions includes: when the thermal management working condition is the first cooling working condition, calculating water pump energy consumption and fan energy consumption, and taking the sum of the water pump energy consumption and the fan energy consumption as the thermal management energy consumption corresponding to the first cooling working condition; when the thermal management working condition is the second cooling working condition, calculating water pump energy consumption, fan energy consumption and compressor energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption and the compressor energy consumption as thermal management energy consumption corresponding to the second cooling working condition; and when the thermal management working condition is the mixed working condition, calculating water pump energy consumption, fan energy consumption, compressor energy consumption and heater energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption, the compressor energy consumption and the heater energy consumption as the thermal management energy consumption corresponding to the mixed working condition.
For specific limitations on the control means of the active grille shutter, reference may be made to the above limitations on the control method of the active grille shutter, which are not repeated here. The modules in the control device of the active air inlet grille can be realized in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing data such as the ambient temperature, the vehicle speed and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method of controlling an active grille shutter.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program:
acquiring a current environment temperature, a current vehicle speed, a preset first fitting relation and a driving energy consumption threshold; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption;
obtaining a first grid opening curve corresponding to the driving energy consumption lower than the driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation;
acquiring a current thermal management working condition, a preset second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition;
Obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation;
according to the first grating opening curve and the second grating opening curve, at least one final grating opening is obtained based on the principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the principle that the total energy consumption is lower than a preset total energy consumption threshold;
and opening the control grid according to any one of the at least one final grid opening.
In one embodiment, the processor when executing the computer program further performs the steps of:
before the step of obtaining the preset first fitting relation, the method further includes:
acquiring a plurality of preset ambient temperatures, a plurality of vehicle speed intervals and a plurality of grid opening intervals;
calculating corresponding driving energy consumption under different combinations of the ambient temperature, the vehicle speed interval and the grid opening interval;
and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption corresponding to the grid opening intervals to obtain a first fitting relation.
In one embodiment, the processor when executing the computer program further performs the steps of:
a first polynomial regression model is established for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption by adopting a polynomial regression method;
and optimizing the first polynomial regression model to obtain a first polynomial regression parameter, and determining the first fitting relation according to the first polynomial regression parameter.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring a plurality of preset vehicle speed intervals, a plurality of grating opening intervals, a plurality of environment temperatures and a plurality of thermal management working conditions;
calculating corresponding thermal management energy consumption under different combinations of the environment temperature, the vehicle speed interval, the grid opening interval and the thermal management working conditions;
and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions to obtain the second fitting relation.
In one embodiment, the processor when executing the computer program further performs the steps of:
A polynomial regression method is adopted for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions, and a second polynomial regression model is established;
and optimizing the second polynomial regression model to obtain a second polynomial regression parameter, and determining the second fitting relation according to the second polynomial regression parameter.
In one embodiment, the processor when executing the computer program further implements: the plurality of thermal management conditions include a first cooling condition, a second cooling condition, and a mixing condition; wherein the first cooling condition is indicative of a single cooling mode being turned on and an electric drive circuit cooling mode being turned on; the second cooling condition means that any two or more of the following modes are turned on: a multiple cooling mode, an electric drive circuit cooling mode, a battery cooling mode, and a passenger compartment cooling mode; the mixed mode indicates an on cooling mode and a heating mode.
In one embodiment, the processor when executing the computer program further performs the steps of:
when the thermal management working condition is the first cooling working condition, calculating water pump energy consumption and fan energy consumption, and taking the sum of the water pump energy consumption and the fan energy consumption as the thermal management energy consumption corresponding to the first cooling working condition;
When the thermal management working condition is the second cooling working condition, calculating water pump energy consumption, fan energy consumption and compressor energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption and the compressor energy consumption as thermal management energy consumption corresponding to the second cooling working condition;
and when the thermal management working condition is the mixed working condition, calculating water pump energy consumption, fan energy consumption, compressor energy consumption and heater energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption, the compressor energy consumption and the heater energy consumption as the thermal management energy consumption corresponding to the mixed working condition.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a current environment temperature, a current vehicle speed, a preset first fitting relation and a driving energy consumption threshold; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption;
obtaining a first grid opening curve corresponding to the driving energy consumption lower than the driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation;
Acquiring a current thermal management working condition, a preset second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition;
obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation;
according to the first grating opening curve and the second grating opening curve, at least one final grating opening is obtained based on the principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the principle that the total energy consumption is lower than a preset total energy consumption threshold;
and opening the control grid according to any one of the at least one final grid opening.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a plurality of preset ambient temperatures, a plurality of vehicle speed intervals and a plurality of grid opening intervals;
calculating corresponding driving energy consumption under different combinations of the ambient temperature, the vehicle speed interval and the grid opening interval;
And performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption corresponding to the grid opening intervals to obtain a first fitting relation.
In one embodiment, the computer program when executed by the processor further performs the steps of:
a first polynomial regression model is established for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption by adopting a polynomial regression method;
and optimizing the first polynomial regression model to obtain a first polynomial regression parameter, and determining the first fitting relation according to the first polynomial regression parameter.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a plurality of preset vehicle speed intervals, a plurality of grating opening intervals, a plurality of environment temperatures and a plurality of thermal management working conditions;
calculating corresponding thermal management energy consumption under different combinations of the environment temperature, the vehicle speed interval, the grid opening interval and the thermal management working conditions;
and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions to obtain the second fitting relation.
In one embodiment, the computer program when executed by the processor further performs the steps of:
a polynomial regression method is adopted for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions, and a second polynomial regression model is established;
and optimizing the second polynomial regression model to obtain a second polynomial regression parameter, and determining the second fitting relation according to the second polynomial regression parameter.
In one embodiment, the computer program when executed by the processor further implements: the plurality of thermal management conditions include a first cooling condition, a second cooling condition, and a mixing condition; wherein the first cooling condition is indicative of a single cooling mode being turned on and an electric drive circuit cooling mode being turned on; the second cooling condition means that any two or more of the following modes are turned on: a multiple cooling mode, an electric drive circuit cooling mode, a battery cooling mode, and a passenger compartment cooling mode; the mixed mode indicates an on cooling mode and a heating mode.
In one embodiment, the computer program when executed by the processor further performs the steps of:
When the thermal management working condition is the first cooling working condition, calculating water pump energy consumption and fan energy consumption, and taking the sum of the water pump energy consumption and the fan energy consumption as the thermal management energy consumption corresponding to the first cooling working condition;
when the thermal management working condition is the second cooling working condition, calculating water pump energy consumption, fan energy consumption and compressor energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption and the compressor energy consumption as thermal management energy consumption corresponding to the second cooling working condition;
and when the thermal management working condition is the mixed working condition, calculating water pump energy consumption, fan energy consumption, compressor energy consumption and heater energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption, the compressor energy consumption and the heater energy consumption as the thermal management energy consumption corresponding to the mixed working condition.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims (10)

1. A method of controlling an active grille shutter, the method comprising:
acquiring a current environment temperature, a current vehicle speed, a preset first fitting relation and a driving energy consumption threshold; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption;
obtaining a first grid opening curve corresponding to the driving energy consumption lower than the driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation;
Acquiring a current thermal management working condition, a preset second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition;
obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation;
according to the first grating opening curve and the second grating opening curve, at least one final grating opening is obtained based on the principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the principle that the total energy consumption is lower than a preset total energy consumption threshold;
and opening the control grid according to any one of the at least one final grid opening.
2. The method for controlling an active grille shutter according to claim 1, wherein prior to the step of obtaining a predetermined first fitting relationship, the method further comprises:
acquiring a plurality of preset ambient temperatures, a plurality of vehicle speed intervals and a plurality of grid opening intervals;
Calculating corresponding driving energy consumption under different combinations of the ambient temperature, the vehicle speed interval and the grid opening interval;
and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption corresponding to the grid opening intervals to obtain a first fitting relation.
3. The method according to claim 2, wherein the step of fitting data on the plurality of ambient temperatures, the plurality of vehicle speed sections, the plurality of grid opening sections, and the corresponding plurality of driving energy consumption to obtain the first fitting relationship includes:
a first polynomial regression model is established for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the driving energy consumption by adopting a polynomial regression method;
and optimizing the first polynomial regression model to obtain a first polynomial regression parameter, and determining the first fitting relation according to the first polynomial regression parameter.
4. The method for controlling an active grille shutter according to claim 1, wherein prior to the step of obtaining a predetermined second fitting relationship, the method further comprises:
Acquiring a plurality of preset vehicle speed intervals, a plurality of grating opening intervals, a plurality of environment temperatures and a plurality of thermal management working conditions;
calculating corresponding thermal management energy consumption under different combinations of the environment temperature, the vehicle speed interval, the grid opening interval and the thermal management working conditions;
and performing data fitting on the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions to obtain the second fitting relation.
5. The method for controlling an active grille shutter according to claim 4, wherein the step of fitting data on the plurality of ambient temperatures, the plurality of vehicle speed intervals, the plurality of grille opening intervals, and the thermal management energy consumption corresponding to the plurality of thermal management conditions to obtain the second fitting relationship includes:
a polynomial regression method is adopted for the environmental temperatures, the vehicle speed intervals, the grid opening intervals and the thermal management energy consumption corresponding to the thermal management working conditions, and a second polynomial regression model is established;
and optimizing the second polynomial regression model to obtain a second polynomial regression parameter, and determining the second fitting relation according to the second polynomial regression parameter.
6. The method of claim 4, wherein the plurality of thermal management conditions includes a first cooling condition, a second cooling condition, and a mixture condition; wherein the first cooling condition is indicative of a single cooling mode being turned on and an electric drive circuit cooling mode being turned on; the second cooling condition means that any two or more of the following modes are turned on: a multiple cooling mode, an electric drive circuit cooling mode, a battery cooling mode, and a passenger compartment cooling mode; the mixed mode indicates an on cooling mode and a heating mode.
7. The method according to claim 6, wherein the step of calculating the corresponding thermal management energy consumption under the combination of the different ambient temperature, the vehicle speed section, the grille opening section, and the thermal management condition includes:
when the thermal management working condition is the first cooling working condition, calculating water pump energy consumption and fan energy consumption, and taking the sum of the water pump energy consumption and the fan energy consumption as the thermal management energy consumption corresponding to the first cooling working condition;
when the thermal management working condition is the second cooling working condition, calculating water pump energy consumption, fan energy consumption and compressor energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption and the compressor energy consumption as thermal management energy consumption corresponding to the second cooling working condition;
And when the thermal management working condition is the mixed working condition, calculating water pump energy consumption, fan energy consumption, compressor energy consumption and heater energy consumption, and taking the sum of the water pump energy consumption, the fan energy consumption, the compressor energy consumption and the heater energy consumption as the thermal management energy consumption corresponding to the mixed working condition.
8. A control device for an active grille, the device comprising:
the first parameter acquisition unit is used for acquiring the current environment temperature, the current vehicle speed, a preset first fitting relation and a driving energy consumption threshold; the first fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and driving energy consumption;
the first parameter processing unit is used for obtaining a first grid opening curve corresponding to the driving energy consumption lower than the driving energy consumption threshold according to the current environment temperature, the current vehicle speed and the first fitting relation;
the second parameter acquisition unit is used for acquiring the current thermal management working condition, a preset second fitting relation and a thermal management energy consumption threshold corresponding to the current thermal management working condition; the second fitting relation represents the relation among different environment temperatures, vehicle speed intervals, grid opening intervals and thermal management energy consumption under the thermal management working condition;
The second parameter processing unit is used for obtaining a second grid opening curve corresponding to the heat management energy consumption lower than the heat management energy consumption threshold according to the current environment temperature, the current vehicle speed, the current heat management working condition and the second fitting relation;
the parameter comprehensive processing unit is used for obtaining at least one final grid opening based on a principle that the total energy consumption of the driving energy consumption and the thermal management energy consumption is the lowest or the total energy consumption is lower than a preset total energy consumption threshold according to the first grid opening curve and the second grid opening curve;
and the grid control unit is used for controlling the grid to be opened according to any one of the at least one final grid opening.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for controlling an active grille of any one of claims 1 to 7 when the computer program is executed.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the control method of an active grille shutter according to any one of claims 1 to 7.
CN202311178777.2A 2023-09-13 2023-09-13 Control method and device for active air inlet grille, computer equipment and storage medium Active CN117284076B (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130036991A1 (en) * 2011-08-09 2013-02-14 Ford Global Technologies, Llc Control Method for a Vehicle Air Intake System
CN110228361A (en) * 2018-12-12 2019-09-13 蔚来汽车有限公司 The control method and device of air-inlet grille, vehicle, controller and medium
CN211000914U (en) * 2019-05-16 2020-07-14 王羿 Active air inlet grille device for automobile
CN112109538A (en) * 2020-09-25 2020-12-22 长城汽车股份有限公司 Fuel vehicle air intake method, device, equipment and storage medium
DE102020216207A1 (en) * 2020-12-17 2022-06-23 Psa Automobiles Sa Method for controlling an air intake into an engine compartment of a vehicle and device for carrying out the method
CN115675063A (en) * 2022-11-28 2023-02-03 重庆长安汽车股份有限公司 Automobile active air inlet grille opening degree control method and device and automobile

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130036991A1 (en) * 2011-08-09 2013-02-14 Ford Global Technologies, Llc Control Method for a Vehicle Air Intake System
CN110228361A (en) * 2018-12-12 2019-09-13 蔚来汽车有限公司 The control method and device of air-inlet grille, vehicle, controller and medium
CN211000914U (en) * 2019-05-16 2020-07-14 王羿 Active air inlet grille device for automobile
CN112109538A (en) * 2020-09-25 2020-12-22 长城汽车股份有限公司 Fuel vehicle air intake method, device, equipment and storage medium
DE102020216207A1 (en) * 2020-12-17 2022-06-23 Psa Automobiles Sa Method for controlling an air intake into an engine compartment of a vehicle and device for carrying out the method
CN115675063A (en) * 2022-11-28 2023-02-03 重庆长安汽车股份有限公司 Automobile active air inlet grille opening degree control method and device and automobile

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