CN111038214B - Control method, device and system of vehicle-mounted air conditioner - Google Patents
Control method, device and system of vehicle-mounted air conditioner Download PDFInfo
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- CN111038214B CN111038214B CN201911386197.6A CN201911386197A CN111038214B CN 111038214 B CN111038214 B CN 111038214B CN 201911386197 A CN201911386197 A CN 201911386197A CN 111038214 B CN111038214 B CN 111038214B
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- 230000007613 environmental effect Effects 0.000 claims abstract description 14
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- 238000012545 processing Methods 0.000 claims description 11
- 238000010801 machine learning Methods 0.000 claims description 7
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- 238000005265 energy consumption Methods 0.000 description 5
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/00785—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models by the detection of humidity or frost
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/00742—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models by detection of the vehicle occupants' presence; by detection of conditions relating to the body of occupants, e.g. using radiant heat detectors
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/00807—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a specific way of measuring or calculating an air or coolant temperature
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- 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
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Abstract
The invention discloses a control method, a device and a system of a vehicle-mounted air conditioner, wherein the method comprises the following steps: acquiring current in-vehicle environmental parameters and a comfort level set value of a user; determining a first target setting parameter according to the current in-vehicle environment parameter; determining the corresponding relation between the comfort level setting value and a second target setting parameter and a third target setting parameter according to the first target setting parameter; obtaining a target operation parameter corresponding to the comfort level set value based on the corresponding relation; and controlling the vehicle-mounted air conditioner to operate according to the target operation parameters. According to the invention, the control scheme of the vehicle-mounted air conditioner is optimized, the environment in the cabin is adaptively adjusted in multiple directions, the intelligent adjustment of the vehicle air conditioner is realized, and the riding comfort of a user is favorably improved.
Description
Technical Field
The invention relates to the technical field of automobile air conditioners, in particular to a control method, a device and a system of a vehicle-mounted air conditioner.
Background
At present, an automobile air conditioner is used as a core component for regulating the environment in an automobile cabin, and plays an important role in the comfort of users. The existing automobile cabin internal environment regulation mainly changes the cabin internal temperature in a mode that a user sets the air conditioner output temperature so as to achieve the comfort level of the user in subjective experience. But this kind satisfies user's comfort level through adjusting air conditioner output temperature, lacks the intelligent design to the car interior environment regulation, is difficult to experience for the user provides better comfort level.
Disclosure of Invention
The invention provides a control method, a device and a system of a vehicle-mounted air conditioner, which are used for solving the technical problem that the riding comfort of a user is difficult to improve only through air conditioner temperature regulation.
In order to solve the technical problem, in a first aspect, an embodiment of the present invention provides a method for controlling a vehicle air conditioner, including:
acquiring current in-vehicle environmental parameters and a comfort level set value of a user;
determining a first target setting parameter according to the current in-vehicle environment parameter;
determining the corresponding relation between the comfort level setting value and a second target setting parameter and a third target setting parameter according to the first target setting parameter;
obtaining a target operation parameter corresponding to the comfort level set value based on the corresponding relation;
and controlling the vehicle-mounted air conditioner to operate according to the target operation parameters.
In a first implementation manner of the first aspect of the present invention, the obtaining a comfort level setting value of a user specifically includes:
according to identity information input by a user, acquiring air conditioner use habit parameters corresponding to the identity information from a preset air conditioner use database;
and performing machine learning on the air conditioner use habit parameters to obtain the comfort level set value of the user.
In a second implementation manner of the first aspect of the present invention, the obtaining a comfort level setting value of a user specifically includes: and receiving the comfort level setting value sent by the comfort level setting device.
In a third implementation manner of the first aspect of the present invention, the in-vehicle environment parameter at least includes: current humidity inside the vehicle.
According to a third implementation manner of the first aspect of the present invention, in a fourth implementation manner of the first aspect of the present invention, the determining a first target setting parameter according to the current in-vehicle environment parameter specifically includes:
judging whether the current humidity in the vehicle is within a preset threshold range;
when the current humidity in the vehicle is judged to be within the preset threshold range, determining that the first target setting parameter is equal to the current humidity in the vehicle;
and when the current humidity in the vehicle is judged to be out of the preset threshold range, determining that the first target setting parameter is equal to the preset humidity in the vehicle.
In a fifth implementation manner of the first aspect of the present invention, the obtaining a target operation parameter corresponding to the comfort setting value based on the correspondence relationship specifically includes:
the second target setting parameters comprise N second target setting sub-parameters, wherein N is an integer greater than 1;
respectively substituting the N second target setting sub-parameters into the corresponding relations to obtain third target setting parameters, wherein the third target setting parameters comprise N third target setting sub-parameters, and the third target setting sub-parameters correspond to the second target setting sub-parameters one to one;
determining one of the third target setting sub-parameters as an optimal third target setting sub-parameter based on the current in-vehicle environmental parameter;
and taking the first target setting parameter, the optimal third target setting sub-parameter and a second target setting sub-parameter corresponding to the optimal third target setting sub-parameter as target operation parameters corresponding to the comfort level setting value.
According to a fifth implementation form of the first aspect of the present invention, in a sixth implementation form of the first aspect of the present invention, the current in-vehicle environment parameter includes: current humidity in the vehicle and current temperature in the vehicle.
According to a sixth implementation manner of the first aspect of the present invention, in a seventh implementation manner of the first aspect of the present invention, the determining that one of the third target setting sub-parameters is an optimal third target setting sub-parameter based on the current in-vehicle environment parameter specifically includes:
respectively comparing the N third target setting sub-parameters with the current in-vehicle temperature to obtain N comparison results;
and determining the third target setting sub-parameter corresponding to the minimum comparison result in the N comparison results as the optimal third target setting sub-parameter.
According to a seventh implementation manner of the first aspect of the present invention, in an eighth implementation manner of the first aspect of the present invention, the determining, as the optimal third target setting sub-parameter, the third target setting sub-parameter corresponding to a minimum comparison result of the N comparison results includes:
and determining the integer value of the third target setting subparameter corresponding to the minimum comparison result in the N comparison results as the optimal third target setting subparameter.
In a ninth implementation manner of the first aspect of the present invention, the correspondence relationship is:
where s denotes a comfort setting value,
denotes a first target setting parameter, v denotes a second target setting parameter, t denotes a third target setting parameter, K1Indicating a first correction parameter of the calibration, K2Indicating a second correction parameter of the calibration, K3Indicating the calibrated third correction parameter.
In a tenth implementation manner of the first aspect of the present invention, after the step of controlling the on-vehicle air conditioner to operate at the target operation parameter, the method further includes:
when the air outlet mode of the vehicle-mounted air conditioner is the face blowing mode, correcting the air speed of the vehicle-mounted air conditioner according to a preset first weight parameter;
when the air outlet mode of the vehicle-mounted air conditioner is the foot blowing mode, correcting the air speed of the vehicle-mounted air conditioner by using a preset second weight parameter;
and when the air outlet mode of the vehicle-mounted air conditioner is the face-blowing foot-blowing mode, correcting the air speed of the vehicle-mounted air conditioner by using a preset third weight parameter.
In a second aspect, an embodiment of the present invention further provides a control device for a vehicle-mounted air conditioner, including:
the data acquisition module is used for acquiring current in-vehicle environmental parameters and a comfort level set value of a user;
the first processing module is used for determining a first target setting parameter according to the current in-vehicle environment parameter;
the second processing module is used for determining the corresponding relation between the comfort level set value and a second target set parameter as well as a third target set parameter according to the first target set parameter;
the third processing module is used for obtaining a target operation parameter corresponding to the comfort level set value based on the corresponding relation;
and the execution module is used for controlling the vehicle-mounted air conditioner to operate according to the target operation parameters.
In a third aspect, an embodiment of the present invention further provides a control system for a vehicle-mounted air conditioner, including:
comfort level setting means for outputting a comfort level setting value of a user;
the in-vehicle environment acquisition device is used for outputting the acquired current in-vehicle environment parameters;
the air conditioner control device is communicated with the comfort level setting device and the in-vehicle environment acquisition device respectively and used for acquiring the current in-vehicle environment parameters and the comfort level set value, wherein the air conditioner control device is the control device of the vehicle-mounted air conditioner in the second aspect.
In a fourth aspect, an embodiment of the present invention further provides an automobile, including the control system of the vehicle air conditioner in the third aspect.
Compared with the prior art, the method, the device, the system and the automobile for controlling the vehicle-mounted air conditioner provided by the embodiment of the invention have the advantages that the comfort setting value is obtained based on machine learning prediction or input by a user, the first target setting parameter, the second target setting parameter and the third target setting parameter which are matched with the comfort setting value and the current vehicle internal environment parameter are determined according to the current vehicle internal environment parameter, and finally the target operation parameter for controlling the vehicle-mounted air conditioner is obtained. Based on the scheme, the comfort of a user is taken as a center, after a certain comfort setting value is selected by machine learning or the user independently, a first target setting parameter, a second target setting parameter and a third target setting parameter can be determined according to the comfort setting value and the current in-vehicle environment parameter, so that a target operation parameter is obtained by utilizing a four-dimensional comfort corresponding relation and the vehicle-mounted air conditioner is controlled, the defect that the comfort of the user is simply met by only adjusting the temperature of the air conditioner in the prior art is overcome, the comfort is taken as the center for designing through an optimized control scheme of the vehicle-mounted air conditioner, the in-vehicle environment is adjusted according to the quantized comfort setting value, the in-vehicle temperature, the humidity and the multidimensional adaptability of a fan gear, the intelligent adjustment of the vehicle air conditioner is realized, and the riding comfort of the user can be effectively improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a method for controlling an on-board air conditioner according to the present invention;
fig. 2 is a flowchart illustrating step S4 of the control method of the in-vehicle air conditioner according to the present invention;
FIG. 3 is a flowchart of an embodiment of a method for controlling an in-vehicle air conditioner provided by the present invention;
FIG. 4 is a flowchart of an embodiment of a method of controlling an in-vehicle air conditioner provided by the present invention;
FIG. 5 is a schematic structural diagram of an embodiment of a control device of an in-vehicle air conditioner provided by the present invention;
fig. 6 is a schematic structural diagram of an embodiment of a control system of an on-vehicle air conditioner provided in the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Referring to fig. 1, a preferred embodiment of the present invention provides a method for controlling a vehicle air conditioner, including the following steps:
s1, acquiring current in-vehicle environment parameters and a comfort level set value of a user;
s2, determining a first target setting parameter according to the current in-vehicle environment parameter;
s3, determining the corresponding relation between the comfort level setting value and a second target setting parameter and a third target setting parameter according to the first target setting parameter;
s4, obtaining target operation parameters corresponding to the comfort level set value based on the corresponding relation;
and S5, controlling the vehicle-mounted air conditioner to operate according to the target operation parameters.
According to the embodiment, the first target setting parameter, the second target setting parameter and the third target setting parameter which are matched with the comfort level setting value and the current in-vehicle environment parameter are determined according to the comfort level setting value of the user and the current in-vehicle environment parameter, so that the target operation parameter for controlling the vehicle-mounted air conditioner is obtained.
In this embodiment, it is understood that the current in-vehicle environment parameter is detected by a sensor configured in the vehicle, and includes at least one of the following: the current temperature in the vehicle and the current humidity in the vehicle. In order to realize the intelligent setting of the comfort setting value of the user, at least the following two designs are provided:
(1) predicting the comfort level required by the user according to the input user ID and the habit of the user learned by the machine, wherein the related flow steps are as follows:
according to identity information input by a user, acquiring air conditioner use habit parameters corresponding to the identity information from a preset air conditioner use database;
and performing machine learning on the air conditioner use habit parameters to obtain the comfort level set value of the user.
(2) The comfort level is expressed in a quantized mode in advance, the comfort level is divided into different levels on a comfort level indicator/comfort level selector, when a user selects the favorite or preferred level, a selection instruction corresponding to the level is generated, and the received comfort level set value is sent to the vehicle-mounted air conditioner, so that the vehicle-mounted air conditioner CAN obtain the comfort level set value input by the user through vehicle CAN communication.
Based on the scheme, after a certain comfort level setting value is selected through machine learning or by a user, the embodiment of the invention can determine the first target setting parameter, the second target setting parameter and the third target setting parameter according to the comfort level setting value and the current in-vehicle environment parameter, thereby obtaining the target operation parameter and controlling the vehicle-mounted air conditioner by utilizing the four-dimensional comfort level corresponding relation, solving the defect that the comfort level of the user is simply met by only adjusting the temperature of the air conditioner in the prior art, and realizing the intelligent adjustment of the vehicle air conditioner by adaptively adjusting the in-cabin environment from the comfort level setting value, the in-vehicle temperature, the humidity and the multi-azimuth fan gear input by the user through the optimized control scheme of the vehicle-mounted air conditioner, and improving the riding comfort level of the user by taking the comfort level of the user as the center.
In one embodiment, the in-vehicle environment parameters at least include: current humidity in the vehicle. Based on this, in this embodiment, the first target setting parameter is determined first, and the target humidity that needs to be reached by the vehicle-mounted air conditioner is controlled by the first target setting parameter; then determining a second target setting parameter and a third target setting parameter on the basis of the first target setting parameter; and finally substituting the first target setting parameter, the second target setting parameter and the third target setting parameter into the corresponding relation to finally obtain the target temperature, the target humidity and the target wind speed of the target operation parameters.
In one possible design, as an improvement of the above solution, in step S2, a first target setting parameter is determined according to the current vehicle interior environment parameter, specifically:
judging whether the current humidity in the vehicle is within a preset threshold range;
when the current humidity in the vehicle is judged to be within the preset threshold range, determining that the first target setting parameter is equal to the current humidity in the vehicle;
and when the current humidity in the vehicle is judged to be out of the preset threshold range, determining that the first target setting parameter is equal to the preset humidity in the vehicle.
For ease of understanding, the preset threshold range is set to be, as an example: and if the humidity in the current vehicle is more than 0% and less than or equal to 60%, determining that the first target parameter in the corresponding relationship is equal to the current humidity in the vehicle when the humidity in the current vehicle collected by the sensor is judged to be less than or equal to 60%, and determining that the first target parameter in the corresponding relationship is 60% when the humidity in the current vehicle collected by the sensor is judged to be more than 60%.
As shown in fig. 3, when the current humidity in the vehicle is less than or equal to 60%, phi is equal to the current humidity in the vehicle and is substituted into the comfort index calculation formula for calculation, and when the current humidity in the vehicle is greater than 60%, phi is equal to 60% and is substituted into the comfort index calculation formula for calculation.
In another possible design, as shown in fig. 4, the current in-vehicle humidity is directly determined as the first target setting parameter, and the current in-vehicle humidity is substituted into the correspondence relationship.
It should be noted that the above two designs can both use the correspondence, that is, the comfort index calculation formula:
where s denotes a comfort setting value,
denotes a first target setting parameter, v denotes a second target setting parameter, t denotes a third target setting parameter, K1Indicating a first correction parameter of the calibration, K2Indicating a second correction parameter of the calibration, K3Indicating the calibrated third correction parameter. K1、K2、K3The value of (A) is calibrated according to practical application.
Referring to fig. 2, considering a situation that a large amount of electricity is consumed due to a high voltage that is required to be used during temperature adjustment inside the vehicle, in order to implement energy saving optimization of the vehicle air conditioner, the step S4 is further improved, and based on the corresponding relationship, a target operation parameter corresponding to the comfort level setting value is obtained, specifically:
s41, the second target setting parameters comprise N second target setting sub-parameters, wherein N is an integer greater than 1;
s42, substituting the N second target setting sub-parameters into the corresponding relationship, respectively, to obtain the third target setting parameters, where the third target setting parameters include N third target setting sub-parameters, and the third target setting sub-parameters correspond to the second target setting sub-parameters one to one;
s43, determining one of the third target setting sub-parameters as the optimal third target setting sub-parameter based on the current in-vehicle environment parameter;
and S44, taking the first target setting parameter, the optimal third target setting sub-parameter and a second target setting sub-parameter corresponding to the optimal third target setting sub-parameter as target operation parameters corresponding to the comfort level setting value.
As shown in fig. 3 or fig. 4, in this embodiment, the second target setting parameter is first valued as N second target setting sub-parameters. For convenience of understanding of those skilled in the art, as an example, the second target setting parameter represents a wind speed gear, the second target setting sub-parameter is defined as a wind speed gear level of the air conditioner fan, and if 0-10 gears are selected, N is 10 (the number of gear levels and the number of data sets are both selectable).
Then, substituting the 10 second target setting subparameters into the corresponding relation:
due to the comfort setting s, the first target setting parameter
For determining the value, if the current humidity in the vehicle is the humidity, substituting v 0-10 into the humidityIn the relation, 10 sets of data, i.e. the third target setting parameter, can be calculated. In each of the 10 sets of data, the target humidity is the first target setting parameter (refer to the above scheme), the target temperature is the second target setting sub-parameter, and the target wind speed is the fan gear corresponding to the second target setting sub-parameter.
And finally, determining 1 group of data with the least energy consumption in the 10 groups of data according to energy consumption calculation, and controlling the operation of the vehicle-mounted air conditioner by taking the group of data as a target operation parameter. As for the method of selecting the optimal solution by the energy consumption calculation, the following is detailed.
It is understood that the temperature output of the on-board air conditioner has a direct relationship with energy consumption, and therefore the current in-vehicle environmental parameters further include: the current in-vehicle temperature.
Therefore, the third target setting sub-parameters in the 10 groups of data can be compared with the current temperature in the vehicle one by one, and the temperature difference of which group is small represents that the energy consumption is minimum. Compared with the energy-saving design that the energy-saving part in the prior art is arranged at the execution end, the energy-saving optimization method can perform energy-saving optimization from the source set by a user, can calculate the optimal energy-saving solution combination through the model, expands the previous scheme of performing energy-saving optimization only from the execution end to the user setting end, and further enhances the energy-saving effect.
Therefore, as an improvement of the above solution, in the step S43, one of the third target setting sub-parameters is determined as an optimal third target setting sub-parameter according to the current in-vehicle environment parameter, specifically:
s431, respectively comparing the N third target setting sub-parameters with the current in-vehicle temperature to obtain N comparison results;
and S432, determining the third target setting sub-parameter corresponding to the minimum comparison result in the N comparison results as the optimal third target setting sub-parameter.
Further, in step S432, the third target setting sub-parameter corresponding to the minimum comparison result in the N comparison results is determined as the optimal third target setting sub-parameter, which specifically includes:
and determining the integer value of the third target setting subparameter corresponding to the minimum comparison result in the N comparison results as the optimal third target setting subparameter.
In the present embodiment, the third target setting sub-parameter whose difference is minimum is rounded by a rounding-off method as the final target temperature T0 in the target operation parameters.
In addition, it can be understood that if the air conditioner is in the automatic mode, the face blowing mode, the foot blowing mode and the foot blowing mode need to be determined according to the air outlet temperature, so that the calculated wind speed is corrected according to the air outlet mode; and if the air-out mode is the manual mode, the calculated wind speed also corrects the air-out mode, and the flow of the steps is as follows:
when the air outlet mode of the vehicle-mounted air conditioner is the blowing mode, a preset first weight parameter theta is used1Correcting the wind speed of the vehicle air conditioner, i.e. θ1The correction is made as a weight multiplied by the current wind speed.
When the air outlet mode of the vehicle-mounted air conditioner is the foot blowing mode, correcting the air speed of the vehicle-mounted air conditioner by using a preset second weight parameter, namely correcting theta2The correction is made as a weight multiplied by the current wind speed.
When the air outlet mode of the vehicle-mounted air conditioner is the face-blowing foot-blowing mode, correcting the wind speed of the vehicle-mounted air conditioner by using a preset third weight parameter, namely correcting theta1，θ2The correction is made as a weight multiplied by the current wind speed to (theta)1Multiplied by the blowing surface wind speed + θ2Multiplied by the blowing foot wind speed)/2 to obtain the corrected wind speed.
And finally, carrying out PID regulation control according to the calculated target operation parameters, and ensuring the timely stability of the temperature reduction/rise of the air conditioner.
Correspondingly, referring to fig. 5 and fig. 6, an embodiment of the present invention further provides a control device for a vehicle-mounted air conditioner, including:
the data acquisition module 1 is used for acquiring current in-vehicle environmental parameters and comfort level set values input by users;
the data acquisition module 1 is to get the current temperature in the car, the current humidity in the car that will gather through temperature sensor, humidity transducer to get the average value to the 10s time quantum at the present moment, synthesize the comfort level index back-emitting and the processing unit that the user set up, processing unit is respectively:
the first processing module 2 is used for determining a first target setting parameter according to the current in-vehicle environment parameter;
the second processing module 3 is configured to determine, according to the first target setting parameter, a corresponding relationship between the comfort level setting value and a second target setting parameter, and a corresponding relationship between the comfort level setting value and a third target setting parameter;
the third processing module 4 is configured to obtain a target operation parameter corresponding to the comfort level setting value based on the correspondence;
and the execution module 5 is used for controlling the vehicle-mounted air conditioner to operate according to the target operation parameters, controlling the air conditioner by taking the obtained target air volume gear V0 and the target temperature T0 as a controlled target, and adjusting the air conditioner by using PID in the control process to ensure the timely stability of system control.
Referring to fig. 6, an embodiment of the present invention further provides a control system for a vehicle-mounted air conditioner, including:
the comfort setting device 6 is a processor capable of performing machine learning according to the user ID and the air conditioner usage habit parameters, or a comfort indicator/comfort selector for receiving user input information.
The in-vehicle environment acquisition device 7 is used for acquiring the current in-vehicle environment parameters;
and the air conditioner control device 8 is communicated with the comfort level setting device and the in-vehicle environment acquisition device respectively and is used for acquiring the current in-vehicle environment parameters and the comfort level set value, wherein the air conditioner control device is a control device of the vehicle-mounted air conditioner.
The embodiment of the invention also provides an automobile comprising the control system of the vehicle-mounted air conditioner.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (5)
1. A control method of a vehicle-mounted air conditioner is characterized by comprising the following steps:
acquiring current in-vehicle environmental parameters and a comfort level set value of a user; the method for acquiring the comfort level set value of the user specifically comprises the following steps: receiving a comfort level setting value sent by a comfort level setting device;
determining a first target setting parameter according to the current in-vehicle environment parameter; the first target setting parameter is the current humidity in the vehicle;
determining the corresponding relation between the comfort level setting value and a second target setting parameter and a third target setting parameter according to the first target setting parameter; the second target setting parameter is a wind speed gear; the third target setting parameter is temperature;
obtaining a target operation parameter corresponding to the comfort level set value based on the corresponding relation;
controlling the vehicle-mounted air conditioner to operate according to the target operation parameters;
the method for acquiring the comfort level set value of the user specifically comprises the following steps:
according to identity information input by a user, acquiring air conditioner use habit parameters corresponding to the identity information from a preset air conditioner use database;
performing machine learning on the air conditioner use habit parameters, and obtaining a comfort level set value of the user;
the obtaining of the target operation parameter corresponding to the comfort level setting value based on the corresponding relationship specifically includes:
the second target setting parameters comprise N second target setting sub-parameters, wherein N is an integer greater than 1;
respectively substituting the N second target setting sub-parameters into the corresponding relations to obtain third target setting parameters, wherein the third target setting parameters comprise N third target setting sub-parameters, and the third target setting sub-parameters correspond to the second target setting sub-parameters one to one;
determining one of the third target setting sub-parameters as an optimal third target setting sub-parameter based on the current in-vehicle environmental parameter;
taking the first target setting parameter, the optimal third target setting sub-parameter and a second target setting sub-parameter corresponding to the optimal third target setting sub-parameter as target operation parameters corresponding to the comfort level setting value;
the current in-vehicle environmental parameters include: current humidity in the vehicle and current temperature in the vehicle; the determining, based on the current in-vehicle environmental parameter, that one of the third target setting sub-parameters is an optimal third target setting sub-parameter specifically includes:
respectively comparing the N third target setting sub-parameters with the current in-vehicle temperature to obtain N comparison results;
determining a third target setting sub-parameter corresponding to the minimum comparison result in the N comparison results as the optimal third target setting sub-parameter;
the method further comprises the following steps:
when the air outlet mode of the vehicle-mounted air conditioner is the face blowing mode, correcting the air speed of the vehicle-mounted air conditioner according to a preset first weight parameter;
when the air outlet mode of the vehicle-mounted air conditioner is the foot blowing mode, correcting the air speed of the vehicle-mounted air conditioner by using a preset second weight parameter;
and when the air outlet mode of the vehicle-mounted air conditioner is the face-blowing foot-blowing mode, correcting the air speed of the vehicle-mounted air conditioner by using a preset third weight parameter.
2. The method according to claim 1, wherein the determining a third target setting sub-parameter corresponding to a minimum comparison result of the N comparison results as the optimal third target setting sub-parameter specifically comprises:
and determining the integer value of the third target setting subparameter corresponding to the minimum comparison result in the N comparison results as the optimal third target setting subparameter.
3. The control method of the in-vehicle air conditioner according to claim 1, wherein the correspondence relationship is:
where s denotes a comfort setting value,
denotes a first target setting parameter, v denotes a second target setting parameter, t denotes a third target setting parameter, K1Indicating a first correction parameter of the calibration, K2Indicating a second correction parameter of the calibration, K3Indicating the calibrated third correction parameter.
4. A control device of an in-vehicle air conditioner, characterized by comprising:
the data acquisition module is used for acquiring current in-vehicle environmental parameters and comfort level set values of users; the method for acquiring the comfort level set value of the user specifically comprises the following steps: receiving a comfort level setting value sent by a comfort level setting device;
the first processing module is used for determining a first target setting parameter according to the current in-vehicle environment parameter; the first target setting parameter is the current humidity in the vehicle;
the second processing module is used for determining the corresponding relation between the comfort level set value and a second target set parameter as well as a third target set parameter according to the first target set parameter; the second target setting parameter is a wind speed gear; the third target setting parameter is temperature;
the third processing module is used for obtaining a target operation parameter corresponding to the comfort level set value based on the corresponding relation;
the obtaining of the target operation parameter corresponding to the comfort level setting value based on the corresponding relationship specifically includes:
the second target setting parameters comprise N second target setting sub-parameters, wherein N is an integer greater than 1;
respectively substituting the N second target setting sub-parameters into the corresponding relations to obtain third target setting parameters, wherein the third target setting parameters comprise N third target setting sub-parameters, and the third target setting sub-parameters correspond to the second target setting sub-parameters one to one;
determining one of the third target setting sub-parameters as an optimal third target setting sub-parameter based on the current in-vehicle environmental parameter;
taking the first target setting parameter, the optimal third target setting sub-parameter and a second target setting sub-parameter corresponding to the optimal third target setting sub-parameter as target operation parameters corresponding to the comfort level setting value;
the current in-vehicle environmental parameters include: current humidity in the vehicle and current temperature in the vehicle; the determining, based on the current in-vehicle environmental parameter, that one of the third target setting sub-parameters is an optimal third target setting sub-parameter specifically includes:
respectively comparing the N third target setting sub-parameters with the current in-vehicle temperature to obtain N comparison results;
determining a third target setting sub-parameter corresponding to the minimum comparison result in the N comparison results as the optimal third target setting sub-parameter;
the execution module is used for controlling the vehicle-mounted air conditioner to operate according to the target operation parameters;
when the air outlet mode of the vehicle-mounted air conditioner is a face blowing mode, correcting the air speed of the vehicle-mounted air conditioner by using a preset first weight parameter;
when the air outlet mode of the vehicle-mounted air conditioner is the foot blowing mode, correcting the air speed of the vehicle-mounted air conditioner by using a preset second weight parameter;
and when the air outlet mode of the vehicle-mounted air conditioner is the face-blowing foot-blowing mode, correcting the air speed of the vehicle-mounted air conditioner by using a preset third weight parameter.
5. A control system of a vehicle-mounted air conditioner, comprising:
comfort level setting means for outputting a comfort level setting value of a user;
the in-vehicle environment acquisition device is used for outputting the acquired current in-vehicle environment parameters;
an air conditioner control device, which communicates with the comfort setting device and the in-vehicle environment acquisition device respectively, and is used for acquiring the current in-vehicle environment parameters and the comfort setting value, wherein the air conditioner control device is the control device of the vehicle-mounted air conditioner according to claim 4.
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| CN114274739B (en) * | 2021-12-03 | 2023-07-14 | 华人运通(江苏)技术有限公司 | Air outlet adjusting method, device and equipment of vehicle-mounted air conditioner and storage medium |
| CN114537080B (en) * | 2022-02-16 | 2023-06-30 | 一汽解放汽车有限公司 | Self-learning control method, device and equipment for automobile air conditioner and storage medium |
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