CN117002220A - Air conditioner control method, vehicle and storage medium - Google Patents
Air conditioner control method, vehicle and storage medium Download PDFInfo
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- CN117002220A CN117002220A CN202311222438.XA CN202311222438A CN117002220A CN 117002220 A CN117002220 A CN 117002220A CN 202311222438 A CN202311222438 A CN 202311222438A CN 117002220 A CN117002220 A CN 117002220A
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- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000004378 air conditioning Methods 0.000 claims abstract description 12
- 238000004364 calculation method Methods 0.000 claims description 32
- 238000013528 artificial neural network Methods 0.000 claims description 20
- 238000004088 simulation Methods 0.000 claims description 13
- 230000005855 radiation Effects 0.000 claims description 10
- 230000002503 metabolic effect Effects 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 5
- 230000001276 controlling effect Effects 0.000 description 19
- 238000005286 illumination Methods 0.000 description 7
- 230000007246 mechanism Effects 0.000 description 7
- 238000007664 blowing Methods 0.000 description 5
- 238000003745 diagnosis Methods 0.000 description 5
- 230000001105 regulatory effect Effects 0.000 description 5
- 238000001514 detection method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000033001 locomotion Effects 0.000 description 4
- 230000004060 metabolic process Effects 0.000 description 4
- 230000035479 physiological effects, processes and functions Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000037323 metabolic rate Effects 0.000 description 3
- 206010019345 Heat stroke Diseases 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000000306 component Substances 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000013400 design of experiment Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000013401 experimental design Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000006386 memory function Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000000547 structure data Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
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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
- B60H1/00814—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation
- B60H1/00821—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation the components being ventilating, air admitting or air distributing devices
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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
- B60H1/00814—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation
- B60H1/00878—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation the components being temperature regulating devices
- B60H1/00892—Devices specially adapted for avoiding uncomfortable feeling, e.g. sudden temperature changes
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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
- Y02T10/88—Optimized components or subsystems, e.g. lighting, actively controlled glasses
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- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The application provides an air conditioner control method, a vehicle and a storage medium, wherein the method is applied to the technical field of vehicle air conditioning, and comprises the following steps: acquiring working condition data of a vehicle and physiological data of a user; calculating the current comfort level value of the user in the vehicle according to the working condition data and the physiological data, and acquiring the target comfort level value expected by the user in the vehicle; and controlling the air conditioner of the vehicle according to the current comfort value and the target comfort value. According to the method, the air conditioner can be automatically controlled according to the comfort level, the comfort level of a user is fully considered, and the user does not need to actively adjust the air conditioner, so that the intelligent control of the air conditioner and the use experience of the user are improved while the user's requirements on the comfort of the interior of the vehicle are met.
Description
Technical Field
The present application relates to the field of vehicles, and more particularly, to a hollow-core control method in the field of vehicle air conditioning, a vehicle, and a storage medium.
Background
With the development of the automobile industry, people pay more attention to the experience of automobile use, and as a core component for adjusting the air quality in a cabin, an air conditioning system is gradually developed towards the direction of intelligent, multi-temperature-zone and accurate regulation.
In the related art, the vehicle-mounted air conditioner still adopts a control strategy of manually controlling or controlling the temperature by voice, and a user can actively adjust the air conditioner according to the comfort level of the user. However, in the related art, the air conditioner control can be realized only according to the active operation of the user, the intelligence is poor, the requirements of the user on cold and hot can not be met, and the use experience of the user is reduced.
Disclosure of Invention
The application provides an air conditioner control method, a vehicle and a storage medium, wherein the air conditioner can be automatically controlled according to a comfort level, the comfort level of a user is fully considered, and the user does not need to actively adjust the air conditioner, so that the intelligent control of the air conditioner and the use experience of the user are improved while the requirement of the user on the comfort of the cold and the heat in the vehicle is met.
In a first aspect, there is provided an air conditioner control method, the method including: acquiring working condition data of a vehicle and physiological data of a user; calculating the current comfort level value of the user in the vehicle according to the working condition data and the physiological data, and acquiring the target comfort level value expected by the user in the vehicle; and controlling the air conditioner of the vehicle according to the current comfort value and the target comfort value.
According to the technical scheme, the air conditioner can be controlled according to the current comfort value and the expected target comfort value of the user, and the current comfort value can accurately represent the comfort level of the user, and the expected target comfort value can represent the requirement of the user on the cold and hot comfort in the vehicle, so that the air conditioner is automatically controlled according to the comfort value, the comfort level of the user is fully considered, the air conditioner is not required to be actively regulated by the user, and the control intelligence of the air conditioner and the use experience of the user are improved while the requirement of the user on the cold and hot comfort in the vehicle is met.
With reference to the first aspect, in some possible implementations, the controlling the air conditioner of the vehicle according to the current comfort value and the target comfort value includes: if the current comfort level is larger than the target comfort level, controlling the air output of the air conditioner to be increased and/or controlling the temperature of the air conditioner to be reduced; and if the current comfort level is smaller than the target comfort level, controlling the air outlet quantity of the air conditioner to be reduced and/or controlling the temperature of the air conditioner to be increased.
Through the technical scheme, the temperature and/or the air quantity of the air conditioner can be regulated and controlled according to the actual difference between the current comfort level and the target comfort level, so that the target comfort level expected by a user is achieved, the requirements of the user are met, the experience of the user is improved, and the automation and intelligent control of the air conditioner are realized.
With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, the acquiring a target comfort value expected by the user in a vehicle includes: acquiring the corresponding relation between the identity information of the user and the target comfort level value; and determining a target comfort level value expected by the user in the vehicle according to the identification information and the corresponding relation.
Through the technical scheme, the embodiment of the application can identify the identity information of the user according to the camera of the vehicle, so that the target comfort level of the user expected to be on the vehicle is determined, and the air conditioner is controlled according to the target comfort level and the current comfort level.
With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, the acquiring a target comfort value expected by the user in a vehicle includes: acquiring a current comfort level and a current comfort target set by a user; and determining a target comfort level of the user expected in the vehicle according to the current comfort level and the current comfort target.
Through the technical scheme, the embodiment of the application can determine the target comfort level expected by the user in the vehicle according to the current comfort level and the current comfort target of the user, thereby ensuring that the target comfort level can be set according to the actual expected of the user.
With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, the determining, according to the current comfort level and the current comfort target, a target comfort value that the user desires to be in the vehicle includes: acquiring a relation table of comfort level, comfort target and comfort level value; and determining the target comfort level corresponding to the current comfort level and the current comfort target according to the relation table.
Through the technical scheme, the embodiment of the application can determine the corresponding target comfort level according to the relation table of the current comfort level and the current comfort target query comfort level, the comfort target and the comfort level value of the user, so that the air conditioner can be controlled according to the current comfort level and the target comfort level.
With reference to the first aspect and the foregoing implementation manners, in some possible implementation manners, the working condition data includes an ambient temperature, illumination radiation, a rear end temperature and humidity of an evaporator, an internal and external circulation state air door, a mode air door and a vehicle speed, and the physiological data includes a clothing resistance and a metabolic equivalent.
With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, the calculating, according to the operating condition data and the physiological data, a current comfort value of the user in the vehicle includes: and inputting the clothes resistance of the working condition data and the physiological data into a pre-constructed neural network learning model, and outputting the current comfort value of the user in the vehicle by the neural network learning model.
Through the technical scheme, the embodiment of the application can calculate the current comfort level value of the user in the vehicle according to the clothes resistance input neural network learning model of the working condition data and the physiological data, so that the air conditioner can be controlled according to the current comfort level value and the target comfort level value.
With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, the calculating, according to the operating condition data and the physiological data, a current comfort value of the user in the vehicle includes: inputting the working condition data into a pre-constructed simulation model, and outputting preset physical quantity by the simulation model; and inputting the physiological data and the preset physical quantity into a pre-constructed human body physiological calculation model, wherein the human body physiological calculation model outputs the current comfort value of the user in the vehicle.
Through the technical scheme, the embodiment of the application can input the preset physical quantity and the physiological data calculated by the simulation model according to the working condition data to the human body physiological calculation model to calculate the current comfort level value of the user in the vehicle, so that the air conditioner can be controlled according to the current comfort level value and the target comfort level value.
In a second aspect, there is provided an apparatus for vehicle control, the apparatus comprising: the acquisition module is used for acquiring working condition data of the vehicle and physiological data of a user; the calculation module is used for calculating the current comfort level value of the user in the vehicle according to the working condition data and the physiological data and obtaining the target comfort level value expected by the user in the vehicle; and the control module is used for controlling the air conditioner of the vehicle according to the current comfort value and the target comfort value.
In a third aspect, a vehicle is provided that includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the air conditioner control method as described in the above embodiments.
In a fourth aspect, there is provided a computer-readable storage medium storing a computer program that when executed implements the air conditioner control method as described in the above embodiments.
Drawings
Fig. 1 is a flowchart of an air conditioner control method according to an embodiment of the present application;
fig. 2 is a basic functional diagram of a display panel of a vehicle air conditioner according to an embodiment of the present application;
FIG. 3 is a logic diagram of a current comfort value calculation implementation provided by an embodiment of the present application;
FIG. 4 is a flow chart of a regulatory strategy based on human comfort visualization provided by an embodiment of the present application;
fig. 5 is a schematic block diagram of an air conditioner control device according to an embodiment of the present application.
Detailed Description
The technical scheme of the application will be clearly and thoroughly described below with reference to the accompanying drawings. Wherein, in the description of the embodiments of the present application, unless otherwise indicated, "/" means or, for example, a/B may represent a or B: the text "and/or" is merely an association relation describing the associated object, and indicates that three relations may exist, for example, a and/or B may indicate: the three cases where a exists alone, a and B exist together, and B exists alone, and furthermore, in the description of the embodiments of the present application, "plural" means two or more than two.
The terms "first," "second," and the like, are used below for descriptive purposes only and are not to be construed as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature.
Before explaining the air conditioner control method provided by the embodiment of the present application, the overall structure related to the embodiment of the present application is explained.
The embodiment of the application mainly comprises the following modules: the system comprises a camera module, a vehicle-mounted sensor module, an embedded neural network calculation module, a signal diagnosis module, a display module, a storage module, an ECU (Electronic Control Unit, an electronic control unit) control unit and an HVAC (Heating Ventilation and Air Conditioning, air conditioning system) executing mechanism.
The camera module mainly detects human body dressing; the vehicle-mounted sensor module mainly detects the speed, the ambient temperature, the temperature at the rear end of the evaporator, the humidity, the illumination radiation, the incidence angle, the state detection signal of the air conditioning system and the like; the embedded neural network calculation module mainly realizes the direct regression calculation of the detection quantity and the target value; the signal diagnosis module is mainly used for diagnosing the position signals of the execution structure and the like; the ECU control unit mainly realizes the processing and regulation of signals; the display module is mainly convenient for a user to check an operable interface to select a comfortable target; the storage module mainly stores the face recognition characteristics of the user and the corresponding target values so as to facilitate subsequent calling; the HVAC actuating mechanism mainly realizes the regulation and control of the temperature and the air quantity in the vehicle.
It should be noted that, in the embodiment of the present application, the current comfort level value may be calculated and the target comfort level value may be obtained only for the actual working condition data of the driver; the cameras can be arranged at each position of the vehicle to acquire actual working condition data of the user at each position, so that the current comfort level value of the user at each position is calculated, the target comfort level value is acquired, and the air conditioning system is controlled to realize the output temperature and the air quantity of the corresponding air port at each position, and the method is not particularly limited.
Fig. 1 is a schematic flow chart of an air conditioner control method according to an embodiment of the present application.
Illustratively, as shown in FIG. 1, the method includes:
in step S101, operating condition data of the vehicle and physiological data of the user are acquired.
The working condition data comprise ambient temperature, illumination radiation, temperature and humidity at the rear end of the evaporator, an internal and external circulation state air door, a mode air door and vehicle speed, and the physiological data comprise clothes resistance and metabolism equivalent.
It can be understood that the embodiment of the application can acquire the working condition data of the vehicle through the vehicle sensor module and acquire the physiological data of the user through the in-vehicle camera module, so that the current comfort value of the user in the vehicle can be calculated according to the working condition data and the physiological data.
It should be noted that, the camera identifies the dressing type or the clothing material type of the user and the current motion state of the user, the clothing resistance map table is queried according to the dressing type of the user to determine the corresponding clothing resistance, the metabolic rate map table is queried according to the current motion state of the user to determine the metabolic equivalent, wherein the clothing resistance map table and the metabolic rate map table can be calibrated in advance.
Specifically, assuming that the user wears one-piece dress in summer, inquiring the map table of clothes resistance shows that the clothes resistance is 0.15; when the user is in a state just after exercise, the metabolic rate map table is queried at this time to show that the metabolic equivalent can be 3.0MET, and the metabolic equivalent can be obtained by table lookup or calculation according to actual conditions, and the metabolic equivalent is not particularly limited.
In step S102, a current comfort value of the user in the vehicle is calculated according to the working condition data and the physiological data, and a target comfort value desired by the user in the vehicle is obtained.
It can be appreciated that the embodiment of the application can calculate the current comfort level value of the user in the vehicle according to the working condition data and the physiological data, and acquire the target comfort level value expected by the user in the vehicle, so as to control the air conditioner of the vehicle according to the current comfort level value and the target comfort level value.
Specifically, in the embodiment of the application, the target comfort level value expected by the user in the vehicle is obtained not only by the face recognition method but also directly from the storage module; the corresponding target comfort level value can be obtained according to the comfort level actively set by the user and the current comfort target query relation table, and the method is not particularly limited; the current comfort value may accurately represent the comfort level of the user, and the desired target comfort value may represent the user's need for cold and hot comfort within the vehicle.
As a possible implementation manner, obtaining a corresponding relationship between the identity information of the user and the target comfort value; and determining a target comfort level value expected by the user in the vehicle according to the identity information and the corresponding relation.
The identity information may include facial features/voiceprint features/fingerprint features, and the like, and is not particularly limited.
It can be appreciated that the embodiment of the application can identify the identity information of the user according to the camera of the vehicle, so as to determine the target comfort level of the user expected to be on the vehicle, and then control the air conditioner according to the target comfort level and the current comfort level.
As another possible implementation, obtaining a target comfort value desired by a user in a vehicle includes: acquiring a current comfort level and a current comfort target set by a user; a target comfort value desired by the user within the vehicle is determined based on the current comfort level and the current comfort target.
It can be appreciated that the embodiment of the application can determine the target comfort level expected by the user in the vehicle according to the current comfort level and the current comfort target of the user, thereby ensuring that the target comfort level can be set according to the actual expected of the user.
Specifically, as shown in fig. 2, the user may manually set the current comfort level and the current comfort target on the display screen, may manually set the current comfort level and the current comfort target on a physical button of the vehicle, or automatically set the current comfort level and the current comfort target by controlling the vehicle through voice, and may select according to the actual situation, without specific limitation; the display screen interface is mainly simplified into three buttons, namely comfortable, hot and comfortable, and cold and comfortable, when a user clicks a virtual button of the display screen or presses a hard entity button, the display transmits a clicking signal to the controller to determine a target value.
In the embodiment of the application, acquiring the target comfort level value expected by the user in the vehicle comprises the following steps: acquiring a current comfort level and a current comfort target set by a user; a target comfort value desired by the user within the vehicle is determined based on the current comfort level and the current comfort target.
It can be understood that the embodiment of the application obtains the current comfort level and the current comfort target set by the user, and determines the target comfort level of the user expected in the vehicle according to the current comfort level and the current comfort target, so as to control the air conditioner of the vehicle according to the current comfort level and the target comfort level.
Specifically, comfort levels can be generally classified into 10 levels: grade 10, slightly cold; grade 9, cool and comfortable; grade 8, cool and comfortable; grade 7, comfort; level 6, more comfortable; grade 5, hotter; class 4, comfort early and late, smoldering noon; grade 3, hot noon, smoldering at night; grade 2, stuffy, keep in mind heatstroke prevention; grade 1, very stuffy, severe heatstroke prevention; the current comfort goals may include three of thermal comfort, comfort and cold comfort, without specific limitation.
In an embodiment of the present application, determining a target comfort level desired by a user in a vehicle according to a current comfort level and a current comfort target includes: acquiring a relation table of comfort level, comfort target and comfort level value; and determining the current comfort level and a target comfort level value corresponding to the current comfort target according to the relation table.
It can be appreciated that the embodiment of the application can determine the corresponding target comfort level according to the relation table of the current comfort level of the user and the current comfort target query comfort level, the comfort target and the comfort level value, so as to facilitate the subsequent control of the air conditioner according to the current comfort level and the target comfort level.
Specifically, as shown in the following table 1, the initialized cold and hot comfort level of the vehicle is standard 0, and the user may determine the corresponding target comfort value based on the current comfort level and the comfort target lookup table, for example: the current comfort level set by the user based on the current actual situation is strong, the current comfort target is thermal comfort, and the corresponding target comfort value obtained after table lookup is +1.5.
Table 1 table of the relationship between comfort level, comfort target and comfort value
It should be noted that, as shown in fig. 3, in the embodiment of the present application, the calculation of the current comfort value may be directly obtained through a neural network learning model, and may also be obtained through calculation of environmental working condition data and user working condition data, which is not limited specifically.
As one possible implementation manner, calculating the current comfort value of the user in the vehicle according to the working condition data and the physiological data includes: and inputting the clothes resistance of the working condition data and the physiological data into a pre-constructed neural network learning model, and outputting the current comfort level value of the user in the vehicle by the neural network learning model.
It can be understood that the embodiment of the application can calculate the current comfort level value of the user in the vehicle according to the clothes resistance input neural network learning model of the working condition data and the physiological data so as to facilitate the subsequent control of the air conditioner according to the current comfort level value and the target comfort level value.
As another possible implementation manner, calculating the current comfort value of the user in the vehicle according to the working condition data and the physiological data includes: inputting working condition data into a pre-constructed simulation model, and outputting preset physical quantity by the simulation model; the physiological data and the preset physical quantity are input into a pre-constructed human body physiological calculation model, and the human body physiological calculation model outputs the current comfort value of the user in the vehicle.
The preset physical quantity may be an ambient wind temperature, a wind speed, an average radiation value and an ambient humidity around the user, and is not particularly limited.
It can be understood that the embodiment of the application can input the preset physical quantity and the physiological data calculated by the simulation model according to the working condition data to the human body physiological calculation model to calculate the current comfort level value of the user in the vehicle so as to facilitate the subsequent control of the air conditioner according to the current comfort level value and the target comfort level value.
The human physiology calculation model is a complex model built based on mathematical formulas such as energy conservation, human structure data and the like, has strong nonlinearity, and has high requirements on a processor and a memory after integration. The neural network learning model is obtained based on data learning, and the generated parameters are basic addition, subtraction, multiplication and division and exponential operation between data, so that the occupied memory and storage space are small, the code quantity is greatly reduced, and most of physical formula calculation is replaced.
Specifically, the calculation mode of the human body physiological calculation model is complex, working condition data is required to be input into the simulation model to obtain physical quantity, the obtained physiological data and the physical quantity are input into the human body physiological calculation model to calculate a physical formula, and finally the current comfort value of a user in a vehicle is obtained, but the calculation model cannot be laid out on a controller;
the current comfort value of the user in the vehicle is obtained directly from external data and clothes resistance through the neural network, the physical formula calculation of a human physiology calculation model is reduced, the physical formula calculation can be directly distributed on a controller, a prediction result is obtained through direct calculation of a small number of codes, and reliable precision assurance is achieved while the storage space is reduced. Therefore, compared with a nonlinear system such as a human physiology calculation model, the nonlinear system has the advantages of reliable precision and less memory occupation, and can replace the human physiology calculation model for use in integrated application, thereby reducing code integration quantity, reducing memory space and guaranteeing reliable precision.
In step S103, the air conditioner of the vehicle is controlled according to the current comfort value and the target comfort value.
It can be understood that the embodiment of the application controls the air conditioner of the vehicle according to the current comfort value and the target comfort value so as to meet the cold and hot requirements of users and improve the experience of the users.
In an embodiment of the present application, controlling an air conditioner of a vehicle according to a current comfort value and a target comfort value includes: if the current comfort level is larger than the target comfort level, controlling the air output of the air conditioner to be increased and/or controlling the temperature of the air conditioner to be reduced; and if the current comfort level is smaller than the target comfort level, controlling the air output of the air conditioner to be reduced and/or controlling the temperature of the air conditioner to be increased.
It can be appreciated that the embodiment of the application can regulate and control the temperature and/or the air quantity of the air conditioner according to the actual difference between the current comfort level and the target comfort level so as to achieve the target comfort level expected by the user, meet the requirements of the user, promote the experience of the user and realize the automatic and intelligent control of the air conditioner.
In summary, the embodiment of the application can control the air conditioner according to the current comfort level and the expected target comfort level of the user, and the expected target comfort level can represent the comfort level of the user, so the air conditioner is automatically controlled according to the comfort level, the comfort level of the user is fully considered, the air conditioner is not required to be actively regulated by the user, and the control intelligence of the air conditioner and the use experience of the user are improved while the comfort level of the user in the vehicle is met.
The following describes in detail an air conditioner control method according to an embodiment of the present application with reference to fig. 4, wherein the method is mainly implemented based on the following modules: the system comprises a camera module, a vehicle-mounted sensor module, an embedded neural network calculation module, a signal diagnosis module, a display module, a storage module, an ECU control unit and an HVAC executing mechanism; the method comprises the following steps:
1. camera module
The camera module mainly detects the human body dressing of the driver, so as to determine the dressing resistance of the driver; the clothing resistance map table can be queried according to the type of wearing clothes of a driver, so that the memory function can be better increased, the camera module can comprise face recognition, and personalized rapid regulation and control can be realized by establishing a database.
2. Vehicle sensor module
The vehicle sensor module mainly comprises a vehicle speed, an ambient temperature, a temperature at the rear end of an evaporator, a humidity, illumination radiation, an incidence angle, an HVAC state detection signal and the like, and is a conventional sensor of the existing vehicle type.
3. Embedded neural network computing module
The part mainly realizes the direct regression calculation of the detection quantity and the target value, and the specific realization flow is as follows:
scheme one:
the environment temperature, the illumination radiation and the direction of the working condition data, the temperature at the rear end of the evaporator, the humidity, the internal and external circulation state air door, the mode air door (blowing face, foot blowing face blowing and the like), the vehicle speed and the clothing resistance of the physiological data are input into a neural network learning model for simulation, and the neural network learning model outputs the current comfort value of a user in the vehicle.
The neural network learning working condition, such as Latin hypercube, is designed mainly by a DOE (Design of Experiment, experimental design) sampling means; the working conditions of signals such as inverse M sequence, white noise and the like can be combined.
The design condition input end includes, but is not limited to: ambient temperature, illumination radiation and direction, evaporator rear end temperature, humidity, internal and external circulation state air door, mode air door (blowing face, foot blowing face, etc.), vehicle speed and clothes resistance; the output end simulates to obtain a comfort calculated value.
Scheme II:
and (3) inputting the working conditions into a 3D simulation model, calculating physical quantities such as wind temperature, wind speed, MRT (Mean Radiant Temperature, average radiation temperature), humidity and the like required by a comfort physical model, and finally, inputting the working conditions and the movement states (metabolism equivalent) of the driver into a human body thermophysiological model by combining the clothes resistance working conditions and the movement states (metabolism equivalent) of the driver to obtain the thermal feeling (current comfort value) of the human body in the working condition environment.
The application can ensure the calculation precision, simplify the model size, realize the quick operation of the comfort index and can meet the requirement of being embedded into the controller.
4. Signal diagnosis module
The diagnosis of position signals of an actuating mechanism such as a motor is mainly performed, and relevant electrical equipment is protected through signal feedback.
5. ECU control unit
The method mainly realizes signal processing and regulation, is consistent with the existing vehicle-mounted ECU, and needs to adjust control logic according to a new system.
6. Display module
The method mainly facilitates the operation of a driver to select a comfortable target, and can be entity buttons or display screen clicking, wherein the main operation of an interface is simplified into three buttons of comfort, thermal comfort and cold comfort, and when the driver clicks or presses a hard entity button, the display transmits a clicking signal to the controller to determine a target value. And the controller reads the difference between the current comfort value and the target comfort value, and feeds the difference back to the ECU to control the air conditioner executing mechanism.
The target value is initialized as a standard, and after the driver selects and adjusts the comfort level, the face recognition characteristics of the driver and the target value can be correspondingly stored in the storage module through the memory button, and the target value can be directly called through face recognition in the subsequent use.
7. Storage module and HVAC actuator
The storage module is used for storing data required to be called by air conditioner control such as clothes resistance map table information, target comfort level map table information, face feature map table and the like, and the HAVC executing mechanism is consistent with the conventional air conditioner control executing mechanism and mainly comprises a compressor, a mode motor and other structures.
Fig. 5 is a schematic block diagram of an air conditioner control device according to an embodiment of the present application.
As shown in fig. 5, the air conditioner control device 10 includes: an acquisition module 100, a calculation module 200 and a control module 300.
The acquisition module 100 is used for acquiring working condition data of a vehicle and physiological data of a user; the calculating module 200 is configured to calculate a current comfort level value of a user in the vehicle according to the working condition data and the physiological data, and obtain a target comfort level value expected by the user in the vehicle; the control module 300 is used to control the air conditioning of the vehicle according to the current comfort value and the target comfort value.
In the embodiment of the application, the working condition data comprise ambient temperature, illumination radiation, temperature and humidity at the rear end of the evaporator, internal and external circulation state air doors, mode air doors and vehicle speed, and the physiological data comprise clothes resistance and metabolism equivalent.
In an embodiment of the present application, the computing module 200 is further configured to: acquiring the corresponding relation between the identity information of the user and the target comfort level value; and determining a target comfort level value expected by the user in the vehicle according to the identity information and the corresponding relation.
In an embodiment of the present application, the computing module 200 is further configured to: acquiring a current comfort level and a current comfort target set by a user; a target comfort value desired by the user within the vehicle is determined based on the current comfort level and the current comfort target.
In an embodiment of the present application, the computing module 200 is further configured to: acquiring a relation table of comfort level, comfort target and comfort level value; and determining a target comfort level corresponding to the current comfort level and the current comfort target according to the relation table.
In an embodiment of the present application, the computing module 200 is further configured to: and inputting the clothes resistance of the working condition data and the physiological data into a pre-constructed neural network learning module, and outputting the current comfort level of the user in the vehicle by the neural network learning module.
In an embodiment of the present application, the computing module 200 is further configured to: inputting working condition data into a pre-constructed simulation model, and outputting preset physical quantity by the simulation model; the physiological data and the preset physical quantity are input into a pre-constructed human body physiological model, and the human body physiological model outputs the current comfort value of the user in the vehicle.
In an embodiment of the present application, the control module 300 is further configured to: if the current comfort level is larger than the target comfort level, controlling the air output of the air conditioner to be increased and/or controlling the temperature of the air conditioner to be reduced; and if the current comfort level is smaller than the target comfort level, controlling the air output of the air conditioner to be reduced and/or controlling the temperature of the air conditioner to be increased.
It should be noted that the explanation of the embodiment of the air conditioning control method is also applicable to the air conditioning control device of this embodiment, and will not be repeated here.
According to the air conditioner control device provided by the embodiment of the application, the air conditioner can be controlled according to the current comfort value and the expected target comfort value of the user, and the current comfort value can accurately represent the comfort level of the user, and the expected target comfort value can represent the requirement of the user for the cold and hot comfort in the vehicle, so that the air conditioner is automatically controlled according to the comfort value, the comfort level of the user is fully considered, the air conditioner is not required to be actively regulated by the user, and the control intelligence of the air conditioner and the use experience of the user are improved while the requirement of the user for the cold and hot comfort in the vehicle is met.
In addition, the embodiment of the application also protects a vehicle, which can comprise a memory and a processor, wherein executable program codes are stored in the memory, and the processor is used for calling and executing the executable program codes to execute the air conditioner control method provided by the embodiment of the application.
The present embodiment also provides a computer-readable storage medium having stored therein computer program code which, when run on a computer, causes the computer to execute the above-described related method steps to implement an air conditioner control method provided in the above-described embodiments.
The apparatus, the computer readable storage medium, or the chip provided in this embodiment are used to execute the corresponding methods provided above, so that the beneficial effects achieved by the apparatus, the computer readable storage medium, or the chip can refer to the beneficial effects in the corresponding methods provided above, and are not described herein.
It will be appreciated by those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another apparatus, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (10)
1. An air conditioner control method, characterized in that the method comprises:
acquiring working condition data of a vehicle and physiological data of a user;
calculating the current comfort level value of the user in the vehicle according to the working condition data and the physiological data, and acquiring the target comfort level value expected by the user in the vehicle;
and controlling the air conditioner of the vehicle according to the current comfort value and the target comfort value.
2. The method of claim 1, wherein the controlling the air conditioner of the vehicle according to the current comfort value and the target comfort value comprises:
if the current comfort level is larger than the target comfort level, controlling the air output of the air conditioner to be increased and/or controlling the temperature of the air conditioner to be reduced;
and if the current comfort level is smaller than the target comfort level, controlling the air outlet quantity of the air conditioner to be reduced and/or controlling the temperature of the air conditioner to be increased.
3. The method of claim 1, wherein the obtaining the target comfort value desired by the user in the vehicle comprises:
acquiring the corresponding relation between the identity information of the user and the target comfort level value;
and determining a target comfort level value expected by the user in the vehicle according to the identification information and the corresponding relation.
4. The method of claim 1, wherein the obtaining the target comfort value desired by the user in the vehicle comprises:
acquiring a current comfort level and a current comfort target set by a user;
and determining a target comfort level of the user expected in the vehicle according to the current comfort level and the current comfort target.
5. The method of claim 4, wherein the determining a target comfort value for the user desired to be in a vehicle based on the current comfort level and the current comfort target comprises:
acquiring a relation table of comfort level, comfort target and comfort level value;
and determining the current comfort level and a target comfort level value corresponding to the current comfort target according to the relation table.
6. The method of claim 1, wherein the operating condition data comprises ambient temperature, light radiation, evaporator back end temperature and humidity, internal and external circulation status dampers, mode dampers, and vehicle speed, and the physiological data comprises clothing resistance and metabolic equivalent.
7. The method of claim 6, wherein the calculating the current comfort value of the user in the vehicle from the operating condition data and the physiological data comprises:
and inputting the clothes resistance of the working condition data and the physiological data into a pre-constructed neural network learning model, and outputting the current comfort value of the user in the vehicle by the neural network learning model.
8. The method of claim 6, wherein the calculating the current comfort value of the user in the vehicle from the operating condition data and the physiological data comprises:
inputting the working condition data into a pre-constructed simulation model, and outputting preset physical quantity by the simulation model;
and inputting the physiological data and the preset physical quantity into a pre-constructed human body physiological calculation model, wherein the human body physiological calculation model outputs the current comfort value of the user in the vehicle.
9. A vehicle, characterized in that the vehicle comprises: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the air conditioning control method according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, which when executed, implements the air-conditioning control method according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202311222438.XA CN117002220A (en) | 2023-09-21 | 2023-09-21 | Air conditioner control method, vehicle and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311222438.XA CN117002220A (en) | 2023-09-21 | 2023-09-21 | Air conditioner control method, vehicle and storage medium |
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| CN117002220A true CN117002220A (en) | 2023-11-07 |
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| CN202311222438.XA Pending CN117002220A (en) | 2023-09-21 | 2023-09-21 | Air conditioner control method, vehicle and storage medium |
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