An air conditioning control method, system and vehicle
By optimizing the control strategy of evaporation temperature and the opening of the heating and cooling dampers in the vehicle's air conditioning system, and combining this with occupant information, the problem of inaccurate temperature and humidity regulation in the air conditioning system was solved, improving occupant comfort and experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING CHANGAN AUTOMOBILE CO LTD
- Filing Date
- 2025-11-12
- Publication Date
- 2026-07-17
Smart Images
Figure CN121316495B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle control technology, and more particularly to the field of vehicle air conditioning control technology, specifically to an air conditioning control method, system, and vehicle. Background Technology
[0002] Currently, all vehicles are equipped with air conditioning systems to regulate the interior temperature to a comfortable level for passengers. However, due to differences in the region, temperature, humidity, altitude, and other factors during vehicle operation, fogging or frost may occur, affecting the driver's visibility and the passenger experience.
[0003] However, to avoid the aforementioned issues, existing technologies typically use temperature and humidity sensors to determine the temperature and humidity inside the vehicle for adjustment. However, traditional temperature and humidity sensors are usually located near the windows and cannot comprehensively reflect the temperature and humidity conditions inside the vehicle. This can lead to incorrect judgments about heating needs, affecting temperature and humidity adjustment performance and ultimately reducing the passenger experience. Therefore, a more precise air conditioning control method is urgently needed. Summary of the Invention
[0004] This application provides an air conditioning control method, system, and vehicle to at least solve the technical problem of poor air conditioning control accuracy in related technologies. The technical solution adopted in this application is as follows: In a first aspect, this application provides an air conditioning control method, comprising: determining target parameter values of controlled parameters of the air conditioning system in a vehicle based on the heating demand of the passenger compartment; wherein the controlled parameters include evaporation temperature and the opening degree of the heating / cooling damper; optimizing the target parameter values using a control optimization model to obtain optimized parameter values; and controlling the air conditioning system based on the optimized parameter values; wherein the control optimization model is trained using a target sample dataset; the target samples in the target sample dataset include: sample target parameter values of the controlled parameters, passenger defrosting behavior resulting from air conditioning control using sample target parameter values, and sample optimized parameter values set to avoid passenger defrosting behavior.
[0005] Based on the aforementioned technical means, this application determines the evaporation temperature and the opening degree of the heating and cooling dampers by judging the heating demand of the passenger compartment of the vehicle. The parameter values of the evaporation temperature and the opening degree of the heating and cooling dampers are optimized according to the control optimization model. The air conditioning is controlled based on the optimized parameter values of the evaporation temperature and the opening degree of the heating and cooling dampers. This can effectively combine the air conditioning control with passenger behavior information to improve passenger comfort.
[0006] In one possible implementation, the target parameter value is optimized using a control optimization model to obtain the optimized parameter value, including: acquiring facial sweating information of occupants in the vehicle; optimizing the target parameter value based on the facial sweating information and the control optimization model to obtain the optimized parameter value; wherein, the target sample includes: sample target parameter value, occupant defrosting behavior caused by using sample target parameter value for air conditioning control, sample facial sweating information, and sample optimized parameter value set to avoid causing occupant defrosting behavior and alleviate facial sweating.
[0007] Based on the aforementioned technical means, this application improves the performance of the control optimization model in judging passenger comfort by inputting the passenger's facial sweating information and passenger defrosting behavior into the control optimization model, thereby improving the accuracy of the optimized parameter values based on the control optimization model.
[0008] In one possible implementation, based on the heating demand of the passenger compartment in the vehicle, the target parameter value of the controlled parameter of the air conditioner in the vehicle is determined, including: determining the initial parameter value of the controlled parameter based on the heating demand; determining the dehumidification coefficient of the passenger compartment; wherein the dehumidification coefficient is positively correlated with the humidity of the passenger compartment; selecting a first target parameter from the controlled parameters based on the heating mode of the passenger compartment; the heating mode includes: a first heating mode in which the air conditioner heats alone, and a second heating mode in which the air conditioner and the engine waste heat heat together heat together; using the dehumidification coefficient to correct the initial parameter value of the first target parameter to obtain the target parameter value of the first target parameter; and determining the initial parameter value of the second target parameter other than the first target parameter among the controlled parameters as the target parameter value of the second target parameter.
[0009] Based on the above-mentioned technical means, this application determines different first target parameters according to different heating modes, and optimizes the parameter values of the first target parameters according to the dehumidification coefficient. It can combine dehumidification requirements, heating modes and heating requirements to determine more accurate and effective target parameter values of the controlled parameters, thereby improving the parameter accuracy of the target parameter values.
[0010] In one possible implementation, the air conditioning system includes a heat pump system; or a heat pump system and a heater; and based on the heating mode of the passenger compartment, a first target parameter is selected from the controlled parameters, including: when the heating mode is a first heating mode, determining the first target parameter as the evaporation temperature.
[0011] Based on the above technical means, when the passenger compartment is heated by the air conditioner alone, the vehicle is in pure electric heating mode. In pure electric heating mode, the vehicle's dehumidification demand is relatively large. Therefore, adjusting the heating of the passenger compartment depends on reducing the evaporation temperature.
[0012] In one possible implementation, based on the heating mode of the passenger compartment, a first target parameter is selected from the controlled parameters, including: when the heating mode is the second heating mode and the dehumidification coefficient is greater than or equal to the first preset dehumidification coefficient, the first target parameter is determined to be the evaporation temperature and the opening degree of the heating / cooling damper; when the heating mode is the second heating mode and the dehumidification coefficient is less than the first preset dehumidification coefficient but greater than or equal to the second preset dehumidification coefficient, the first target parameter is determined to be the evaporation temperature; when the heating mode is the second heating mode and the dehumidification coefficient is less than the second preset dehumidification coefficient, the first target parameter does not exist.
[0013] Based on the aforementioned technical means, when the passenger compartment is heated by both the air conditioner and the engine waste heat, the vehicle is in a hybrid heating state. In this hybrid heating state, the engine waste heat will provide auxiliary heating for the passenger compartment. When using the engine waste heat to provide auxiliary heating for the passenger compartment, no parameter value correction is required when the dehumidification demand is low. When the dehumidification demand is moderate, the evaporation temperature is reduced. When the dehumidification demand is high, both the evaporation temperature and the opening of the hot and cold air dampers are corrected. Thus, different degrees and methods of parameter value optimization can be performed based on different dehumidification demands to improve the air conditioning control accuracy and reduce the air conditioning control energy consumption.
[0014] In one possible implementation, the initial parameter value of the first target parameter is corrected using the dehumidification coefficient to obtain the target parameter value of the first target parameter, including: determining the first product of the dehumidification coefficient and the preset adjustment factor; and determining the difference between the initial parameter value of the first target parameter and the first product as the target parameter value of the first target parameter.
[0015] Based on the above technical means, this application processes the parameter values according to the product of the dehumidification coefficient and the preset adjustment factor, that is, it normalizes the dehumidification coefficient, improves the parameter optimization performance of the dehumidification coefficient, and avoids large deviations in the optimization of the initial parameter values.
[0016] In one possible implementation, the dehumidification coefficient is determined based on the vehicle's environmental information, which includes temperature, altitude, light intensity, and ambient humidity. The temperature information includes ambient temperature, passenger compartment temperature, and evaporation temperature at the most recent control time.
[0017] Based on the aforementioned technical means, this application determines the dehumidification coefficient based on multiple environmental information such as temperature, altitude, light intensity, and ambient humidity, which makes the judgment of the dehumidification coefficient more efficient and improves the performance of vehicle dehumidification demand judgment.
[0018] In one possible implementation, the above method further includes: after controlling the air conditioner, determining the occupant's comfort level based on the occupant's facial sweating information, defrosting behavior, and / or cooling behavior; and if the comfort level is lower than the preset comfort level, reducing the evaporation temperature and / or adjusting the opening of the hot and cold air dampers to increase the amount of cold air output.
[0019] Based on the aforementioned technical means, passenger comfort can be determined by information such as facial sweating, defrosting behavior, and / or cooling behavior. In cases of poor comfort, timely adjustments can be made to the evaporation temperature and the opening of the heating and cooling dampers, thereby effectively improving passenger comfort.
[0020] Secondly, this application provides an air conditioning control system, comprising: a parameter determination module, used to determine the target parameter values of the controlled parameters of the air conditioning in the vehicle based on the heating demand of the passenger compartment in the vehicle; wherein the controlled parameters include evaporation temperature and the opening degree of the heating / cooling damper; a parameter optimization module, used to optimize the target parameter values using a control optimization model to obtain optimized parameter values; and an air conditioning control module, used to control the air conditioning based on the optimized parameter values; wherein the control optimization model is trained using a target sample dataset; the target samples in the target sample dataset include: sample target parameter values of the controlled parameters, passenger defrosting behavior caused by using the sample target parameter values for air conditioning control, and sample optimized parameter values set to avoid causing passenger defrosting behavior.
[0021] In one possible implementation, a parameter optimization module is used to acquire facial sweating information of occupants in the vehicle; based on the facial sweating information and the control optimization model, the target parameter value is optimized to obtain the optimized parameter value; wherein, the target sample includes: sample target parameter value, occupant defrosting behavior caused by using sample target parameter value for air conditioning control, sample facial sweating information, and sample optimized parameter value set to avoid causing occupant defrosting behavior and alleviate facial sweating.
[0022] In one possible implementation, the parameter determination module is used to determine the initial parameter value of the controlled parameter based on the heating demand; determine the dehumidification coefficient of the passenger compartment, wherein the dehumidification coefficient is positively correlated with the humidity of the passenger compartment; select a first target parameter from the controlled parameters based on the heating mode of the passenger compartment; the heating mode includes: a first heating mode in which the air conditioner heats alone, and a second heating mode in which the air conditioner and the engine waste heat heat together heat; correct the initial parameter value of the first target parameter using the dehumidification coefficient to obtain the target parameter value of the first target parameter; and determine the initial parameter value of the second target parameter other than the first target parameter among the controlled parameters as the target parameter value of the second target parameter.
[0023] In one possible implementation, the air conditioner includes a heat pump system; or a heat pump system and a heater; the parameter determination module is specifically used to: determine the first target parameter as the evaporation temperature when the heating mode is a first heating mode.
[0024] In one possible implementation, the parameter determination module is further configured to: determine the first target parameters as evaporation temperature and cooling / heating damper opening when the heating mode is the second heating mode and the dehumidification coefficient is greater than or equal to the first preset dehumidification coefficient; determine the first target parameter as evaporation temperature when the heating mode is the second heating mode and the dehumidification coefficient is less than the first preset dehumidification coefficient but greater than or equal to the second preset dehumidification coefficient; and determine that the first target parameter does not exist when the heating mode is the second heating mode and the dehumidification coefficient is less than the second preset dehumidification coefficient.
[0025] In one possible implementation, the parameter determination module is further configured to: determine the first product of the dehumidification coefficient and the preset adjustment factor; and determine the difference between the initial parameter value of the first target parameter and the first product as the target parameter value of the first target parameter.
[0026] In one possible implementation, the dehumidification coefficient is determined based on the vehicle's environmental information, which includes temperature, altitude, light intensity, and ambient humidity. The temperature information includes ambient temperature, passenger compartment temperature, and evaporation temperature at the most recent control time.
[0027] In one possible implementation, the system is further configured to: determine the occupant's comfort level based on facial sweating information, defrosting behavior, and / or cooling behavior after controlling the air conditioner; and reduce the evaporation temperature and / or adjust the opening of the hot and cold air dampers to increase the volume of cold air output if the comfort level is lower than the preset comfort level.
[0028] Thirdly, this application provides a vehicle including the air conditioning control system described in the second aspect.
[0029] Fourthly, this application provides an electronic device, including: a processor and a memory, wherein the memory stores at least one computer program, and the at least one computer program is loaded and executed by the processor to implement the method described in the first aspect and any possible implementation thereof.
[0030] Fifthly, this application provides a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the methods described in the first aspect and any possible implementation thereof.
[0031] In a sixth aspect, this application provides a computer program product comprising computer instructions that, when executed on an electronic device, cause the electronic device to perform the method described in the first aspect and any of its possible implementations.
[0032] It should be noted that the technical effects of any of the implementation methods in aspects two through six can be found in the technical effects of the corresponding implementation methods in aspect one, and will not be repeated here.
[0033] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description
[0034] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application, and do not constitute an undue limitation of this application.
[0035] Figure 1 This is a schematic diagram of the structure of a vehicle shown in an embodiment of this application; Figure 2 This is a schematic diagram of the structure of an air conditioner shown in an embodiment of this application; Figure 3 This is a flowchart illustrating an air conditioning control method according to an embodiment of this application; Figure 4 This is a block diagram illustrating an air conditioning control system according to an embodiment of this application; Figure 5 This is a block diagram illustrating an air conditioning control device according to an embodiment of this application; Figure 6 This is a block diagram illustrating an electronic device according to an embodiment of this application. Detailed Implementation
[0036] To enable those skilled in the art to better understand the technical solutions of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.
[0037] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.
[0038] In the embodiments of this application, the words "exemplary," "for example," or "for instance" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the words "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a specific manner.
[0039] The technical solutions of the embodiments of this application will be described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.
[0040] The air conditioning control system provided in this application embodiment is used for air conditioning control of vehicles (especially intelligent driving vehicles). Vehicles can also be referred to as vehicles, mobile carriers, electric vehicles (EVs), hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), fuel cell vehicles (FCVs), autonomous vehicles, intelligent and connected vehicles (ICVs), driverless vehicles, etc.
[0041] In this application, the vehicle can be a sedan, a sport utility vehicle (SUV), a truck, a special vehicle (such as an ambulance, fire truck, police car, etc.), a driverless taxi, a smart connected bus, an autonomous logistics vehicle, an electric truck, etc. Furthermore, this method is also applicable to various special-purpose vehicles, such as agricultural vehicles, mining vehicles, forestry vehicles, airport vehicles, and port vehicles. This application does not impose specific limitations in this regard.
[0042] Figure 1 This is a schematic diagram of the structure of a vehicle shown in an embodiment of this application, such as... Figure 1 As shown, the vehicle 100 of this application includes: an air conditioning control system 101 and an air conditioner 102; the air conditioning control system 101 and the air conditioner 102 establish a communication connection. Both the air conditioning control system 101 and the air conditioner 102 are deployed in the vehicle.
[0043] The air conditioning control system 101 is used to determine the evaporation temperature and the opening degree of the heating and cooling damper of the vehicle air conditioner based on the heating demand of the passenger compartment of the vehicle, and to optimize the evaporation temperature and the opening degree of the heating and cooling damper based on the control optimization model, so as to control the air conditioner 102 according to the optimized evaporation temperature and the opening degree of the heating and cooling damper.
[0044] The air conditioning control system 101 is also used to determine the control commands for the air conditioner 102 based on the optimized evaporation temperature and the opening degree of the heating and cooling dampers.
[0045] Air conditioner 102 is used to adjust the opening degree of the air conditioning cooling and heating damper based on the control commands of air conditioning control system 101, and to adjust temperature control devices such as air conditioner compressor speed and expansion valve opening.
[0046] As a feasible approach, in hybrid vehicles, the air conditioning system typically operates with both the PTC (Power Transmission Control Center) and compressor running to achieve the user-set target temperature and humidity. Furthermore, due to engine operation, the engine coolant temperature can heat the passenger compartment. Therefore, in heating mode, the PTC, compressor, and engine may all be running simultaneously. Moreover, the distribution of heating energy prioritizes reducing overall vehicle energy consumption. For example, if the passenger compartment requires cooling, the air vents are fully cooled, and the PTC does not activate; if heating is required, a sensorless humidity control strategy is used to detect the current humidity requirement within the passenger compartment.
[0047] In practical applications, the air conditioning control system 101 can communicate with one or more air conditioners 102, and the air conditioners 102 can also communicate with one or more air conditioning control systems 101.
[0048] For ease of understanding, this application uses the communication connection between an air conditioning control system 101 and an air conditioner 102 as an example for illustration.
[0049] As a feasible approach, Figure 1 The air conditioning control system 101 and air conditioner 102 are installed in the vehicle. The air conditioning control system 101 and air conditioner 102 can be functional modules integrated into the same device, or they can be independently installed devices. This application does not impose any limitations on the comparison.
[0050] It is easy to understand that when the air conditioning control system 101 and the air conditioner 102 are functional modules integrated within the same device, the communication method between the air conditioning control system 101 and the air conditioner 102 is the same as the communication method between internal modules of the device. In this case, the communication process between the two is the same as the "communication process when the air conditioning control system 101 and the air conditioner 102 are set up independently". For ease of understanding, this application mainly uses the example of the air conditioning control system 101 and the air conditioner 102 being set up independently for explanation.
[0051] As a feasible approach, Figure 1 The air conditioning control system 101 can be installed on a terminal, a server, or other types of electronic devices.
[0052] When the air conditioning control system 101 is located at a terminal, the terminal can be a device providing data connectivity to vehicle users or vehicle owners, a handheld device with wireless connectivity, or other processing devices connected to a wireless modem. The terminal can communicate with one or more core networks via a radio access network (RAN). The terminal can be a mobile terminal, such as a computer with a mobile terminal, or a mobile device that exchanges voice and / or data with the radio access network, such as a mobile phone, tablet, laptop, netbook, or personal digital assistant (PDA). This application does not impose any limitations on this.
[0053] When the air conditioning control system 101 is located on a server, the server can be a single server or a server cluster consisting of multiple servers. In some embodiments, the server cluster can also be a distributed cluster. This application does not impose any limitations on this.
[0054] It should be noted that the structure illustrated in the embodiments of this application does not constitute a limitation on the air conditioning control system 101. It may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of both.
[0055] For ease of understanding, the air conditioning control method provided in this application will be described in detail below with reference to the accompanying drawings.
[0056] Figure 2 This is a schematic diagram of the structure of an air conditioner shown in an embodiment of this application, with reference to... Figure 2 The air conditioner 200 includes an evaporator 201, a cooling and heating damper 202, a compressor 203, and a PTC heater 204, etc.
[0057] Figure 3 This is a flowchart illustrating an air conditioning control method according to an embodiment of this application, with reference to... Figure 3 The method includes: S301. Based on the heating demand of the passenger compartment in the vehicle, determine the target parameter values of the controlled parameters of the air conditioning in the vehicle, wherein the controlled parameters include the evaporation temperature and the opening degree of the heating and cooling dampers.
[0058] The aforementioned heating demand refers to the need for the vehicle to provide heat to the passenger compartment in order to ensure a suitable temperature and comfort in a cold environment. The heating demand is related to the ambient temperature, passenger comfort, and vehicle performance requirements.
[0059] When the vehicle is a gasoline vehicle, the waste heat of the engine coolant is used to meet the heating needs of the passenger compartment; when the vehicle is an electric vehicle, the electric heater and / or heat pump system is used to meet the heating needs of the passenger compartment; when the vehicle is a hybrid vehicle, different heating methods are used depending on whether the engine is running.
[0060] The above heating demand is determined based on a combination of various temperature information, such as the vehicle's ambient temperature, interior temperature, engine coolant temperature, air duct temperature, sunlight intensity, and evaporation temperature; or the above heating demand is determined based on the vehicle's ambient temperature and the interior temperature information collected by temperature and humidity sensors.
[0061] The aforementioned controlled parameters refer to the air conditioning control parameters that need to be adjusted based on the heating requirements of the passenger cabin. These controlled parameters include the evaporation temperature of the air conditioning system and the opening degree of the heating / cooling dampers.
[0062] The aforementioned target parameter values refer to the controlled parameters of the air conditioning system, which are determined after adjustments are made based on the heating requirements of the passenger cabin.
[0063] The aforementioned evaporation temperature refers to the saturation temperature at which the refrigerant in the air conditioner changes from a liquid state to a gaseous state within the evaporator. It corresponds to the refrigerant state on the low-pressure side of the air conditioning refrigeration system and directly reflects the phase change process of the refrigerant within the evaporator.
[0064] The evaporation temperature mentioned above is affected by factors such as the evaporation pressure, heat load, air volume, and operating efficiency of the air conditioner.
[0065] The aforementioned air conditioning damper opening refers to the degree to which the air conditioning dampers are open, used to regulate the flow of hot and cold air to achieve temperature control. The ratio of hot to cold air can be adjusted by rotating the damper control switch, or the opening of multiple dampers can be individually adjusted through intelligent control, such as increasing the opening of the cold air damper.
[0066] S302. Using the control optimization model, optimize the target parameter values to obtain the optimized parameter values.
[0067] The aforementioned control optimization model refers to optimizing the parameter values of air conditioning control parameters such as evaporation temperature and cooling / heating damper opening to improve the control performance of these parameters. For example, the aforementioned control optimization model can be a pre-trained LSTM model.
[0068] The aforementioned optimized parameter values refer to the parameter values obtained after optimizing the target parameter values of the controlled parameters of the air conditioner using a control optimization model. In this case, optimizing the controlled parameters using a control optimization model can optimize the target parameter values of one or more controlled parameters.
[0069] The above control optimization model is trained using the target sample dataset; the target samples in the target sample dataset include: the sample target parameter values of the controlled parameters, the occupant defrosting behavior caused by using the sample target parameter values for air conditioning control, and the sample optimization parameter values set to avoid causing occupant defrosting behavior.
[0070] Each time the occupants in the vehicle's passenger compartment adjust controlled parameters such as the evaporation temperature of the air conditioning and the opening of the hot and cold air dampers, each adjustment behavior such as defrosting the vehicle is considered a target sample.
[0071] The aforementioned defrosting process refers to the act of removing frost, ice, or fog from the inner and outer surfaces of vehicle windows caused by low temperatures or humidity differences, using the vehicle's air conditioning system or specialized equipment, to restore visibility for the driver or passengers. This frost, ice, or fog may appear on either the inner or outer surface of the windows. When the outside temperature is lower than a preset temperature and the window temperature drops below the dew point, water vapor in the air will directly sublimate into frost, forming frost on the outer surface of the window (e.g., the preset temperature is typically 0 degrees Celsius). When the warm, humid air inside the vehicle's passenger compartment encounters the cooler inner surface of the glass, water vapor will condense into small water droplets, forming fog on the inner surface of the window.
[0072] The aforementioned defrosting can be performed using methods such as hot air defrosting, heating wire defrosting, or physical / chemical aids.
[0073] As one feasible approach, the aforementioned control optimization model can be an LSTM model, where the LSTM model uses a basic neural network framework as its input layer, hidden layers, and output layer. The LSTM hidden layer includes an input gate, a forget gate, and an output gate. The normalized control optimization model is then used. By recognizing occupant defrosting behavior, setting the temperature, and the state of user skin sweat, the neural network is trained to ultimately optimize the target parameter values.
[0074] S303. Control the air conditioner based on optimized parameter values.
[0075] Based on the aforementioned technical means, this application determines the evaporation temperature and the opening degree of the heating and cooling dampers by judging the heating demand of the passenger compartment of the vehicle. The parameter values of the evaporation temperature and the opening degree of the heating and cooling dampers are optimized according to the control optimization model. The air conditioning is controlled based on the optimized parameter values of the evaporation temperature and the opening degree of the heating and cooling dampers. This can effectively combine the air conditioning control with passenger behavior information to improve passenger comfort.
[0076] In one possible implementation, a control optimization model is used to optimize the target parameter value to obtain the optimized parameter value. This includes: acquiring facial sweating information of occupants in the vehicle; optimizing the target parameter value based on the facial sweating information and the control optimization model to obtain the optimized parameter value; wherein, the target sample includes: sample target parameter value, occupant defrosting behavior caused by using the sample target parameter value for air conditioning control, sample facial sweating information, and sample optimized parameter value set to avoid causing occupant defrosting behavior and alleviate facial sweating, so as to improve the parameter accuracy of the optimized parameter value optimized based on the control optimization model.
[0077] The aforementioned facial sweating information refers to the sweat secretion information on the facial skin surface of one or more occupants in the vehicle's passenger compartment due to factors such as ambient temperature, humidity, human metabolic activity, and emotional changes. Different occupants will have different facial sweating information under the same temperature or humidity conditions. Therefore, optimizing the target parameter value of the controlled parameter based on the occupant's facial sweating information can make the optimization result better meet the personalized needs of the occupants.
[0078] The aforementioned target sample refers to a sample selected from the vehicle's historical passenger compartment passenger information, in which passengers exhibit facial sweating or defrosting behavior when the vehicle's passenger compartment air conditioning is controlled based on the sample target parameter values.
[0079] The aforementioned optimized parameter values refer to the sample parameter values after the occupants adjust the target parameter values based on the target parameter values when the air conditioning control of the vehicle's passenger compartment is based on the target parameter values. This adjustment is made after the occupants perform defrosting actions or experience facial sweating.
[0080] In one possible implementation, based on the heating demand of the passenger compartment in the vehicle, the target parameter value of the controlled parameter of the air conditioner in the vehicle is determined, including: determining the initial parameter value of the controlled parameter based on the heating demand; determining the dehumidification coefficient of the passenger compartment; wherein the dehumidification coefficient is positively correlated with the humidity of the passenger compartment; selecting a first target parameter from the controlled parameters based on the heating mode of the passenger compartment; the heating mode includes: a first heating mode in which the air conditioner heats alone, and a second heating mode in which the air conditioner and the engine waste heat heat together heat together; using the dehumidification coefficient to correct the initial parameter value of the first target parameter to obtain the target parameter value of the first target parameter; and determining the initial parameter value of the second target parameter other than the first target parameter among the controlled parameters as the target parameter value of the second target parameter, so as to improve the parameter accuracy of the target parameter value.
[0081] The above initial parameter values are the parameter values of the vehicle's air conditioning controlled parameters determined based on the temperature information of the vehicle's passenger compartment. The temperature information includes the ambient temperature, the temperature of the passenger compartment, and the evaporation temperature at the most recent control time.
[0082] The dehumidification coefficient mentioned above is determined based on the vehicle's environmental information, which includes temperature, altitude, light intensity, and ambient humidity.
[0083] As one feasible method, the formula for calculating the dehumidification coefficient is as follows: ; ; ; Among them, the dehumidification coefficient is , For ambient temperature coefficient, The target temperature for the crew cabin. This is the altitude coefficient. The vehicle's altitude. For sunlight intensity, This represents the real-time temperature of the crew cabin. For characteristic temperature information, This is the proportional gain coefficient. The target air outlet temperature for the crew cabin. For ambient humidity, Humidity conversion coefficient, Set the initial temperature for the crew cabin. The first-order differential equation for ambient temperature is... , , All are calibration coefficients. It is a mathematical operation that uses altitude as an input variable and performs a non-linear mapping using the Sigmoid function, where... , , , , , , All parameters are normalized.
[0084] The aforementioned first target parameter is the target parameter that needs to be adjusted for dehumidification under the conditions of the crew cabin heating mode and dehumidification coefficient.
[0085] The first heating mode mentioned above refers to the heating mode in which the air conditioner heats the air conditioner alone, while the second heating mode mentioned above refers to the heating mode in which the waste heat from the air conditioner and the engine is used for heating.
[0086] In one possible implementation, the air conditioning system includes a heat pump system; or a heat pump system and a heater; and based on the heating mode of the passenger compartment, a first target parameter is selected from the controlled parameters, including: when the heating mode is a first heating mode, determining the first target parameter as the evaporation temperature.
[0087] In one possible implementation, based on the heating mode of the passenger compartment, a first target parameter is selected from the controlled parameters, including: when the heating mode is the second heating mode and the dehumidification coefficient is greater than or equal to the first preset dehumidification coefficient, the first target parameter is determined to be the evaporation temperature and the opening degree of the heating / cooling damper; when the heating mode is the second heating mode and the dehumidification coefficient is less than the first preset dehumidification coefficient but greater than or equal to the second preset dehumidification coefficient, the first target parameter is determined to be the evaporation temperature; when the heating mode is the second heating mode and the dehumidification coefficient is less than the second preset dehumidification coefficient, the first target parameter does not exist.
[0088] The aforementioned first and second preset dehumidification coefficients are pre-calibrated dehumidification coefficients used to distinguish whether the passenger cabin is in a low, medium, or high dehumidification demand state. Specifically, when the heating mode is the second heating mode and the dehumidification coefficient is greater than or equal to the first preset dehumidification coefficient, the passenger cabin is in a high dehumidification demand state. When the heating mode is the second heating mode and the dehumidification coefficient is less than the first preset dehumidification coefficient but greater than or equal to the second preset dehumidification coefficient, the passenger cabin is in a medium dehumidification demand state. When the heating mode is the second heating mode and the dehumidification coefficient is less than the second preset dehumidification coefficient, the passenger cabin is in a low dehumidification demand state.
[0089] The first and second preset dehumidification coefficients can be adjusted based on the behavior of the occupants in the cabin and information such as facial sweating.
[0090] In one possible implementation, the initial parameter value of the first target parameter is corrected using the dehumidification coefficient to obtain the target parameter value of the first target parameter. This includes: determining the first product of the dehumidification coefficient and the preset adjustment factor; and determining the difference between the initial parameter value of the first target parameter and the first product as the target parameter value of the first target parameter to avoid large deviations in the optimization of the initial parameter value.
[0091] The aforementioned preset adjustment factor is a proportional conversion factor used to adjust the dehumidification coefficient and the evaporation temperature and / or the opening of the heating and cooling damper. It can be preset by the system according to environmental requirements, which can be determined by humidity requirements, passenger temperature preferences, etc.
[0092] The first product mentioned above is the product of the preset adjustment factor and the dehumidification coefficient. It can be used to amplify or reduce the impact of the dehumidification process on the temperature inside the vehicle. For example, if the preset adjustment factor is large, the air conditioner will compensate for the temperature drop caused by dehumidification by opening the hot and cold air dampers more fully.
[0093] The target parameter value of the first target parameter is determined based on the difference between the initial parameter value of the first target parameter and the first product.
[0094] As one feasible approach, when the vehicle is in its first heating mode, it operates on pure electric heating. The evaporation temperature is obtained based on a preset strategy, and then... * The latest evaporation temperature is obtained, reducing the overall vehicle humidity to ensure safety and comfort.
[0095] The above preset strategy can be implemented using an empirical formula: Evaporation temperature = Ambient temperature / Engine coolant temperature - Preset temperature range. For example, the preset temperature range can be between 10 degrees Celsius and 20 degrees Celsius.
[0096] As an achievable approach, when the vehicle is in the second heating mode, the vehicle is in hybrid heating mode. If the dehumidification coefficient is less than the second preset dehumidification coefficient, the vehicle is in a low dehumidification demand state, without changing the target evaporation temperature or the opening of the heating and cooling dampers.
[0097] If the dehumidification coefficient is between the first preset dehumidification coefficient and the second preset dehumidification coefficient, the vehicle is in a state of medium dehumidification demand, and the evaporation temperature will be... * The latest evaporation temperature is obtained. If the dehumidification coefficient is greater than the first preset dehumidification coefficient, the vehicle is in a high dehumidification demand state. Under high dehumidification demand, the safety risk level is high or the user's comfort is poor. Heating and dehumidification systems are unlikely to quickly remove fog and moisture. Therefore, it is necessary to lower the evaporation temperature and increase the opening of the cold air damper to increase cooling capacity for rapid dehumidification. That is: Evaporation temperature - * The latest evaporation temperature is obtained, and the target opening degree for the heating and cooling dampers is the damper opening degree of the previous cycle. * .
[0098] In one possible implementation, the above method further includes: after controlling the air conditioner, determining the occupant's comfort level based on the occupant's facial sweating information, defrosting behavior, and / or cooling behavior; and if the comfort level is lower than the preset comfort level, reducing the evaporation temperature and / or adjusting the opening of the hot and cold air dampers to increase the amount of cold air output.
[0099] The aforementioned cooling action refers to the action taken by the occupants to manually cool the passenger compartment when the air conditioning control is insufficient to make the occupants comfortable.
[0100] The aforementioned comfort level refers to the comfort performance of occupants in the temperature and humidity environment of the passenger cabin. The higher the comfort level, the better the occupants adapt to the temperature and humidity environment of the passenger cabin. Conversely, the lower the comfort level, the worse the occupants adapt to the temperature and humidity environment of the passenger cabin. If the adaptability is lower than the preset comfort level, the temperature and humidity information of the passenger cabin needs to be adjusted.
[0101] The aforementioned preset comfort level is a pre-set critical threshold for occupant comfort. If the occupant comfort level is lower than the preset comfort level, the occupant comfort is poor, and adjustments to the temperature and humidity inside the occupant cabin are required. As the air conditioning evaporation temperature decreases, the humidity inside the occupant cabin will also decrease. Therefore, adjusting the humidity inside the occupant cabin can rely on adjusting the evaporation temperature; lowering the evaporation temperature will reduce the humidity inside the occupant cabin.
[0102] The aforementioned adjustment of the opening of the hot and cold air dampers to increase the cold air output volume refers to increasing the opening of the cold air damper to increase the cold air output volume. When the hot and cold air dampers are in full cooling control mode, the cold air damper needs to be opened to the maximum while the warm air damper is closed, supporting only the output of cold air. When in heating control mode, both the warm and cold air dampers are open. If the temperature drops, the temperature knobs of the hot and cold air dampers are turned towards the cold air damper, and the opening of the warm air damper is gradually reduced to allow cold air to mix in for cooling. If the temperature rises, the temperature knobs of the hot and cold air dampers are turned towards the warm air damper, and the opening of the cold air damper is gradually reduced to allow hot air to mix in for heating.
[0103] As one feasible approach, after determining the occupant's comfort level, it also includes updating the model parameters by controlling the preset cross-entropy and preset backpropagation strategy in the LSTM algorithm of the optimization model.
[0104] As an achievable approach, occupant comfort can also be determined using an evaluation function, where a negative evaluation function results in a reduction of the evaporation temperature and / or a correction of the opening of the heating / cooling dampers.
[0105] For example, if the above evaluation function is within the range of [-0.5, 0.5], it is determined that the evaporation temperature and the opening of the heating and cooling dampers are within a reasonable range, and there is no need to correct the evaporation temperature and the opening of the heating and cooling dampers.
[0106] For example, if the air conditioner's evaporation temperature is set to 25°C, and the user still clicks the defrost button, lowers the set temperature, or the camera detects dense sweat on the user's head under the current temperature environment, the evaluation function will be negative.
[0107] Figure 4 This is a block diagram of an air conditioning control system shown in an embodiment of this application, with reference to... Figure 4 The system includes: parameter determination module 401, parameter optimization module 402, and air conditioning control module 403.
[0108] The parameter determination module 401 is used to determine the target parameter values of the controlled parameters of the air conditioning in the vehicle based on the heating demand of the passenger compartment in the vehicle; wherein the controlled parameters include the evaporation temperature and the opening degree of the heating and cooling dampers.
[0109] The parameter optimization module 402 is used to optimize the target parameter value using a control optimization model to obtain the optimized parameter value.
[0110] Air conditioning control module 403 is used to control the air conditioner based on optimized parameter values.
[0111] The control optimization model is trained using the target sample dataset. The target samples in the target sample dataset include: the sample target parameter values of the controlled parameters, the occupant defrosting behavior caused by using the sample target parameter values for air conditioning control, and the sample optimization parameter values set to avoid causing occupant defrosting behavior.
[0112] In one possible implementation, the parameter optimization module 402 is used for: Obtain facial sweating information from vehicle occupants; Based on facial sweating information and a control optimization model, the target parameter values are optimized to obtain the optimized parameter values. The target samples include: target parameter values, occupant defrosting behavior resulting from air conditioning control using the target parameter values, facial sweating information, and optimized parameter values set to avoid occupant defrosting behavior and alleviate facial sweating.
[0113] In one possible implementation, the parameter determination module 401 is used for: Based on heating demand, determine the initial parameter values of the controlled parameters; Determine the dehumidification coefficient of the passenger cabin; where the dehumidification coefficient is positively correlated with the humidity of the passenger cabin; Based on the heating mode of the occupant cabin, the first target parameter is selected from the controlled parameters; the heating modes include: a first heating mode in which the air conditioner heats alone, and a second heating mode in which the air conditioner and the engine waste heat heat together. Using the dehumidification coefficient, the initial parameter value of the first target parameter is corrected to obtain the target parameter value of the first target parameter; The initial parameter value of the second objective parameter, excluding the first objective parameter, is determined as the objective parameter value of the second objective parameter.
[0114] In one possible implementation, the air conditioner includes a heat pump system; or a heat pump system and a heater; the parameter determination module 401 is specifically used for: When the heating mode is set to the first heating mode, the first target parameter is determined to be the evaporation temperature.
[0115] In one possible implementation, the parameter determination module 401 is further configured to: When the heating mode is the second heating mode and the dehumidification coefficient is greater than or equal to the first preset dehumidification coefficient, the first target parameters are determined to be the evaporation temperature and the opening degree of the hot and cold air damper. When the heating mode is the second heating mode and the dehumidification coefficient is less than the first preset dehumidification coefficient but greater than or equal to the second preset dehumidification coefficient, the first target parameter is determined to be the evaporation temperature. When the heating mode is the second heating mode and the dehumidification coefficient is less than the second preset dehumidification coefficient, the first target parameter does not exist.
[0116] In one possible implementation, the parameter determination module 401 is further configured to: Determine the first product of the dehumidification coefficient and the preset adjustment factor; determine the difference between the initial parameter value of the first target parameter and the first product as the target parameter value of the first target parameter.
[0117] In one possible implementation, the dehumidification coefficient is determined based on the vehicle's environmental information, which includes temperature, altitude, light intensity, and ambient humidity. The temperature information includes ambient temperature, passenger compartment temperature, and evaporation temperature at the most recent control time.
[0118] In one possible implementation, the above system is also used for: After controlling the air conditioning, the passenger's comfort level is determined based on information about facial sweating, defrosting behavior, and / or cooling behavior. If the comfort level is lower than the preset comfort level, reduce the evaporation temperature and / or adjust the opening of the hot and cold air dampers to increase the amount of cold air output.
[0119] Figure 5 This is a block diagram of an air conditioning control device shown in an embodiment of this application, with reference to... Figure 5 The device includes: sensor module 501, area controller VIU 502 and central controller EDC 503.
[0120] When the vehicle is powered on, the ambient temperature sensor, in-vehicle temperature sensor, engine coolant temperature sensor, sunlight sensor, air duct temperature sensor, and evaporator temperature sensor in sensor module 501 collect ambient temperature, in-vehicle temperature, engine coolant temperature, sunlight, air duct temperature, and evaporator temperature in real time.
[0121] The ambient temperature, vehicle interior temperature, engine coolant temperature, sunlight, air duct temperature, and evaporator temperature are transmitted to the area controller VIU502 in real time.
[0122] The VIU502 area controller inputs temperature information such as ambient temperature, vehicle interior temperature, engine coolant temperature, sunlight, air duct temperature, and evaporator temperature into the automatic air conditioning algorithm. The automatic air conditioning algorithm outputs information such as the initial evaporator temperature, initial air outlet temperature, and initial opening degree of the heating / cooling damper.
[0123] The camera information is input into the central controller EDC503, and the altitude, ambient humidity, user skin perspiration level, and number of times the user clicked defrost are output to the area controller VIU502.
[0124] After receiving the above output signal from the central controller EDC503, the area controller VIU502 determines the dehumidification coefficient by combining information such as the initial evaporation temperature, the initial outlet air temperature, and the initial opening degree of the heating and cooling dampers.
[0125] Based on the dehumidification coefficient, it determines whether there is a current dehumidification need and the risk of fogging in the vehicle, and finally outputs the evaporation temperature, air outlet temperature, and the opening degree of the hot and cold air dampers.
[0126] Regarding the system in the above embodiments, the specific ways in which each module performs its operations have been described in detail in the embodiments of the air conditioning control method, and will not be elaborated here.
[0127] Figure 6 This is a block diagram illustrating an electronic device according to an embodiment of this application. Figure 6 As shown, the electronic device includes, but is not limited to, a processor 601 and a memory 602.
[0128] The aforementioned memory 602 is used to store the executable instructions of the aforementioned processor 601. It is understood that the aforementioned processor 601 is configured to execute instructions to implement the air conditioning control method in the above embodiments.
[0129] It should be noted that those skilled in the art will understand that Figure 6 The electronic device structure shown does not constitute a limitation on the electronic device; the electronic device may include, but is not limited to, other electronic devices. Figure 6 This may indicate more or fewer components, or combinations of certain components, or different component arrangements.
[0130] Processor 601 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in memory 602, and by calling data stored in memory 602, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Processor 601 may include one or more processing units. Processor 601 may integrate an application processor and a modem processor. The application processor mainly handles the operating system, user interface, and applications, while the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into processor 601.
[0131] The memory 602 can be used to store software programs and various data. The memory 602 may primarily include a program storage area and a data storage area. The program storage area may store the operating system, application programs required by at least one functional module (such as deterministic components, integrated components, etc.), etc. Furthermore, the memory 602 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.
[0132] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 602 including instructions, which can be executed by a processor 601 of an electronic device to implement the methods in the above embodiments.
[0133] In actual implementation, Figure 4 The functions of the parameter determination module 401, parameter optimization module 402, and air conditioning control module 403 can all be derived from... Figure 6 The processor 601 calls the computer program stored in the memory 602 to implement the process. The specific execution process can be found in the description of the method section in the previous embodiment, and will not be repeated here.
[0134] Optionally, the computer-readable storage medium may be a non-transitory computer-readable storage medium, such as a read-only memory (ROM), random access memory (RAM), compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device. In an exemplary embodiment, this application also provides a computer program product including one or more instructions, which can be executed by the processor 601 of an electronic device to perform the methods in the above embodiments.
[0135] It should be noted that when one or more instructions in the computer-readable storage medium or computer program product are executed by the processor of an electronic device, they implement the various processes of the above method embodiments and achieve the same technical effect as the above method. To avoid repetition, they will not be described again here.
[0136] Through the above description of the embodiments, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.
[0137] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another apparatus, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0138] The units described as separate components may or may not be physically separate. A component shown as a unit can be one or more physical units; that is, it can be located in one place or distributed in multiple different locations. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0139] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0140] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, essentially, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.
[0141] This application provides a computer program product containing instructions that, when run on a computer, cause the computer to perform the methods described in the above method embodiments.
[0142] This application also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method in the method flow shown in the above method embodiments.
[0143] The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, a register, a hard disk, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination thereof, or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can reside in an application-specific integrated circuit (ASIC). In embodiments of this application, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.
[0144] Since the air conditioning control system, computer-readable storage medium, and computer program product in the embodiments of this application can be applied to the above method, the technical effects that can be obtained can also be referred to the above method embodiments. The embodiments of this application will not be repeated here.
[0145] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. An air conditioning control method, characterized in that, The method includes: Based on the heating requirements of the passenger compartment in the vehicle, the target parameter values of the controlled parameters of the air conditioning in the vehicle are determined; wherein, the controlled parameters include the evaporation temperature and the opening degree of the heating and cooling dampers. The target parameter values are optimized using a control optimization model to obtain the optimized parameter values. Control the air conditioner based on the optimized parameter values; The control optimization model is trained using a target sample dataset. The target samples in the target sample dataset include: the sample target parameter values of the controlled parameter, the occupant defrosting behavior caused by using the sample target parameter values for air conditioning control, and the sample optimization parameter values set to avoid causing the occupant defrosting behavior. The step of optimizing the target parameter value using a control optimization model to obtain the optimized parameter value includes: acquiring facial sweating information of the occupants in the vehicle; optimizing the target parameter value based on the facial sweating information and the control optimization model to obtain the optimized parameter value; wherein the target sample includes: the sample target parameter value, the occupant defrosting behavior caused by using the sample target parameter value for air conditioning control, the sample facial sweating information, and the sample optimized parameter value set to avoid causing the occupant defrosting behavior and alleviate facial sweating; The step of determining the target parameter value of the controlled parameters of the air conditioner in the vehicle based on the heating demand of the passenger compartment includes: determining the initial parameter value of the controlled parameters based on the heating demand; determining the dehumidification coefficient of the passenger compartment, wherein the dehumidification coefficient is positively correlated with the humidity of the passenger compartment; selecting a first target parameter from the controlled parameters based on the heating mode of the passenger compartment; the heating mode includes: a first heating mode in which the air conditioner heats alone, and a second heating mode in which the air conditioner and engine waste heat heat together heat together; correcting the initial parameter value of the first target parameter using the dehumidification coefficient to obtain the target parameter value of the first target parameter; and determining the initial parameter value of the second target parameter other than the first target parameter among the controlled parameters as the target parameter value of the second target parameter. The step of selecting a first target parameter from the controlled parameters based on the heating mode of the passenger compartment includes: when the heating mode is the second heating mode and the dehumidification coefficient is greater than or equal to a first preset dehumidification coefficient, determining the first target parameter as the evaporation temperature and the opening degree of the heating / cooling damper; when the heating mode is the second heating mode and the dehumidification coefficient is less than the first preset dehumidification coefficient but greater than or equal to a second preset dehumidification coefficient, determining the first target parameter as the evaporation temperature; and when the heating mode is the second heating mode and the dehumidification coefficient is less than the second preset dehumidification coefficient, the first target parameter does not exist. The step of using the dehumidification coefficient to correct the initial parameter value of the first target parameter to obtain the target parameter value of the first target parameter includes: determining the first product of the dehumidification coefficient and the preset adjustment factor; and determining the difference between the initial parameter value of the first target parameter and the first product as the target parameter value of the first target parameter.
2. The air conditioning control method according to claim 1, characterized in that, The air conditioner includes a heat pump system; or a heat pump system and a heater; The selection of a first target parameter from the controlled parameters based on the heating mode of the occupant compartment includes: When the heating mode is the first heating mode, the first target parameter is determined to be the evaporation temperature.
3. The air conditioning control method according to claim 1, characterized in that, The dehumidification coefficient is determined based on the vehicle's environmental information, which includes temperature, altitude, light intensity, and ambient humidity. The temperature information includes ambient temperature, the temperature of the passenger compartment, and the evaporation temperature at the most recent control time.
4. The air conditioning control method according to claim 1, characterized in that, The method further includes: After controlling the air conditioner, the occupant's comfort level is determined based on facial sweating information, defrosting behavior, and / or cooling behavior. If the comfort level is lower than the preset comfort level, the evaporation temperature is reduced and / or the opening of the hot and cold air damper is adjusted to increase the cold air output.
5. An air conditioning control system, characterized in that, The system includes: The parameter determination module is used to determine the target parameter values of the controlled parameters of the air conditioner in the vehicle based on the heating demand of the passenger compartment in the vehicle; wherein, the controlled parameters include the evaporation temperature and the opening degree of the heating and cooling dampers; The parameter optimization module is used to optimize the target parameter values using a control optimization model to obtain optimized parameter values. An air conditioning control module is used to control the air conditioner based on the optimized parameter values; The control optimization model is trained using a target sample dataset. The target samples in the target sample dataset include: the sample target parameter values of the controlled parameter, the occupant defrosting behavior caused by using the sample target parameter values for air conditioning control, and the sample optimization parameter values set to avoid causing the occupant defrosting behavior. Specifically, the parameter optimization module is used to acquire facial sweating information of the occupants in the vehicle; based on the facial sweating information and the control optimization model, optimize the target parameter value to obtain the optimized parameter value; wherein, the target sample includes: the sample target parameter value, the occupant defrosting behavior caused by using the sample target parameter value for air conditioning control, the sample facial sweating information, and the sample optimized parameter value set to avoid causing the occupant defrosting behavior and alleviate facial sweating; The parameter determination module is specifically used to: determine the initial parameter value of the controlled parameter based on the heating demand; determine the dehumidification coefficient of the passenger compartment, wherein the dehumidification coefficient is positively correlated with the humidity of the passenger compartment; select a first target parameter from the controlled parameters based on the heating mode of the passenger compartment; the heating mode includes: a first heating mode in which the air conditioner heats alone, and a second heating mode in which the air conditioner and engine waste heat heat together heat together; correct the initial parameter value of the first target parameter using the dehumidification coefficient to obtain the target parameter value of the first target parameter; and determine the initial parameter value of the second target parameter other than the first target parameter among the controlled parameters as the target parameter value of the second target parameter. The step of selecting a first target parameter from the controlled parameters based on the heating mode of the passenger compartment includes: when the heating mode is the second heating mode and the dehumidification coefficient is greater than or equal to a first preset dehumidification coefficient, determining the first target parameter as the evaporation temperature and the opening degree of the heating / cooling damper; when the heating mode is the second heating mode and the dehumidification coefficient is less than the first preset dehumidification coefficient but greater than or equal to a second preset dehumidification coefficient, determining the first target parameter as the evaporation temperature; and when the heating mode is the second heating mode and the dehumidification coefficient is less than the second preset dehumidification coefficient, the first target parameter does not exist. The step of using the dehumidification coefficient to correct the initial parameter value of the first target parameter to obtain the target parameter value of the first target parameter includes: determining the first product of the dehumidification coefficient and the preset adjustment factor; and determining the difference between the initial parameter value of the first target parameter and the first product as the target parameter value of the first target parameter.
6. A vehicle, characterized in that, The vehicle includes the air conditioning control system as described in claim 5.