A control method and device for a vehicle temperature control system

Abstract

This invention provides a control method and apparatus for a vehicle temperature control system. The method involves acquiring thermal environment condition information; determining initial clothing thermal resistance parameters and metabolic rate information; constructing a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information; and sending the clothing thermal resistance table to a temperature control client. The temperature control client is used to control the temperature control system based on the clothing thermal resistance table, thereby achieving more accurate control of the vehicle temperature control system, reducing the computational burden inside the vehicle, and improving control efficiency.

Description

Technical Field

[0001] This invention relates to the field of control technology for vehicle temperature control systems, and in particular to a control method for a vehicle temperature control system, a control device for a vehicle temperature control system, a vehicle, an electronic device, and a computer-readable storage medium. Background Technology

[0002] With the increasing prevalence of automotive intelligence, air conditioning functions are becoming more and more intelligent, aiming to provide passengers with a better thermal comfort experience. However, the thermal comfort of passengers is affected by a variety of factors, among which the clothing index has a significant impact. Traditional air conditioning systems do not consider the influence of the clothing index. In order to improve the intelligence of air conditioning control strategies and the comfort of passengers, it is necessary to obtain the thermal resistance data of human clothing. However, the traditional method of obtaining the thermal resistance data of human clothing is to directly calculate the thermal resistance of clothing based on ambient temperature and wind speed, which results in a large error. Furthermore, since the calculation is performed in the vehicle system, it occupies the vehicle system memory, causing the vehicle system to run slowly.

[0003] Therefore, how to control the vehicle temperature control system is a problem that needs to be overcome by those skilled in the art. Summary of the Invention

[0004] The present invention provides a control method, device, electronic device, and computer-readable storage medium for a vehicle temperature control system to solve the problem of how to control a vehicle temperature control system.

[0005] This invention discloses a control method for a vehicle temperature control system. The method is applied to a temperature control server, which has a corresponding temperature control client, including:

[0006] Obtain thermal environment condition information;

[0007] Determine the initial thermal resistance parameters and metabolic rate information of the clothing;

[0008] A clothing thermal resistance table is constructed using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information.

[0009] The garment thermal resistance meter is sent to the temperature control client; the temperature control client is used to control the temperature control system based on the garment thermal resistance meter.

[0010] Optionally, the step of constructing a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information may include:

[0011] Construct a human thermal comfort model;

[0012] The human thermal comfort model is used to determine human skin temperature information and hypothalamic temperature information based on the thermal environment conditions information, the initial clothing thermal resistance parameters, and the metabolic rate information.

[0013] Based on the human skin temperature information and the hypothalamic temperature information, dynamic thermal sensation parameters are determined;

[0014] The garment thermal resistance table is constructed based on the dynamic thermal sensing parameters.

[0015] Optionally, the step of constructing the clothing thermal resistance meter based on the dynamic thermal sensing parameters may include:

[0016] When the dynamic thermal sensing parameter is within a preset value range, a target garment thermal resistance parameter is generated based on the thermal environment condition information; the thermal environment condition information and the target garment thermal resistance parameter have a corresponding relationship.

[0017] The thermal resistance table of the garment is constructed based on the target garment thermal resistance parameters and the thermal environment condition information, according to the corresponding relationship.

[0018] Optionally, it may also include:

[0019] When the dynamic thermal sensation parameter is greater than the maximum threshold of the preset value range, the initial clothing thermal resistance parameter is reduced according to the preset value to generate a first initial clothing thermal resistance parameter. The first initial clothing thermal resistance parameter is then used as the initial clothing thermal resistance parameter. The steps of determining human skin temperature information and hypothalamic temperature information based on the thermal environment working condition information, the initial clothing thermal resistance parameter, and the metabolic rate information using the human thermal comfort model are then executed.

[0020] Optionally, it may also include:

[0021] When the dynamic thermal sensation parameter is less than the minimum threshold of the preset value range, the initial clothing thermal resistance parameter is increased by the preset value to generate a second initial clothing thermal resistance parameter. The second initial clothing thermal resistance parameter is then used as the initial clothing thermal resistance parameter. The step of determining human skin temperature information and hypothalamic temperature information based on the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information using the human thermal comfort model is then executed.

[0022] Optionally, the human thermal comfort model may include a physiological model and a psychological model.

[0023] This invention also discloses a control method for a vehicle temperature control system. The method is applied to a temperature control client, which has a corresponding temperature control server. The temperature control server is used to acquire thermal environment condition information; determine initial clothing thermal resistance parameters and metabolic rate information; construct a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information; and send the clothing thermal resistance table to the temperature control client. This may include:

[0024] Receive the clothing thermal resistance meter sent by the temperature control server;

[0025] The temperature control system is controlled based on the thermal resistance meter of the garment.

[0026] This invention also discloses a control device for a vehicle temperature control system. The device is applied to a temperature control server, which has a corresponding temperature control client and may include:

[0027] Thermal environment condition information acquisition module, used to acquire thermal environment condition information;

[0028] The metabolic rate information determination module is used to determine the initial thermal resistance parameters and metabolic rate information of the clothing;

[0029] A clothing thermal resistance meter module is constructed to construct a clothing thermal resistance meter using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information.

[0030] A garment thermal resistance meter sending module is used to send the garment thermal resistance meter to the temperature control client; the temperature control client is used to control the temperature control system based on the garment thermal resistance meter.

[0031] Optionally, the module for constructing a garment thermal resistance meter may include:

[0032] The Human Thermal Comfort Model Construction Submodule is used to construct a human thermal comfort model.

[0033] The hypothalamic temperature information determination submodule is used to determine human skin temperature information and hypothalamic temperature information based on the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information using the human thermal comfort model.

[0034] The dynamic thermal sensation parameter determination submodule is used to determine dynamic thermal sensation parameters based on the human skin temperature information and the hypothalamic temperature information.

[0035] The clothing thermal resistance meter construction submodule is used to construct the clothing thermal resistance meter based on the dynamic thermal sensing parameters.

[0036] Optionally, the clothing thermal resistance meter construction submodule may include:

[0037] The target garment thermal resistance parameter generation unit is used to generate a target garment thermal resistance parameter for the thermal environment condition information when the dynamic thermal sensation parameter is within a preset value range; the thermal environment condition information and the target garment thermal resistance parameter have a corresponding relationship.

[0038] A clothing thermal resistance meter construction unit is used to construct the clothing thermal resistance meter based on the corresponding relationship between the target clothing thermal resistance parameters and the thermal environment condition information.

[0039] Optionally, it may also include:

[0040] The first initial clothing thermal resistance parameter generation unit is used to reduce the initial clothing thermal resistance parameter by a preset value when the dynamic thermal sensation parameter is greater than the maximum threshold of the preset value range, generate the first initial clothing thermal resistance parameter, and use the first initial clothing thermal resistance parameter as the initial clothing thermal resistance parameter, and call the hypothalamic temperature information determination submodule.

[0041] Optionally, it may also include:

[0042] The second initial clothing thermal resistance parameter generation unit is used to increase the initial clothing thermal resistance parameter by a preset value when the dynamic thermal sensation parameter is less than the minimum threshold of the preset value range, generate a second initial clothing thermal resistance parameter, and use the second initial clothing thermal resistance parameter as the initial clothing thermal resistance parameter, and call the hypothalamic temperature information determination submodule.

[0043] Optionally, the human thermal comfort model may include a physiological model and a psychological model.

[0044] This invention also discloses a control device for a vehicle temperature control system. The device is applied to a temperature control client, which has a corresponding temperature control server. The temperature control server is used to acquire thermal environment condition information; determine initial clothing thermal resistance parameters and metabolic rate information; construct a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information; and send the clothing thermal resistance table to the temperature control client. This may include:

[0045] A clothing thermal resistance meter receiving module is used to receive the clothing thermal resistance meter sent by the temperature control server;

[0046] A temperature control system control module is used to control the temperature control system based on the clothing thermal resistance meter.

[0047] This invention also discloses a vehicle, including a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the method described in this invention.

[0048] This invention also discloses an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0049] The memory is used to store computer programs;

[0050] When the processor executes a program stored in the memory, it implements the method described in the embodiments of the present invention.

[0051] This invention also discloses a computer-readable storage medium storing instructions that, when executed by one or more processors, cause the processors to perform the methods described in this invention.

[0052] The embodiments of the present invention have the following advantages:

[0053] In this embodiment of the invention, thermal environment condition information is acquired; initial clothing thermal resistance parameters and metabolic rate information are determined; a clothing thermal resistance table is constructed using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information; the clothing thermal resistance table is sent to the temperature control client; the temperature control client is used to control the temperature control system based on the clothing thermal resistance table, thereby achieving more accurate control of the vehicle temperature control system, reducing the computational burden inside the vehicle, and improving control efficiency. Attached Figure Description

[0054] Figure 1 This is a flowchart of the steps of a control method for a vehicle temperature control system provided in Embodiment 1 of the present invention;

[0055] Figure 2 This is a schematic diagram of a DTS comfort scale provided in Embodiment 1 of the present invention;

[0056] Figure 3 This is a flowchart of generating target clothing thermal resistance parameters provided in Embodiment 1 of the present invention;

[0057] Figure 4 This is a flowchart of the steps of a control method for a vehicle temperature control system provided in Embodiment 2 of the present invention;

[0058] Figure 5 This is a structural block diagram of a control device for a vehicle temperature control system provided in Embodiment 3 of the present invention;

[0059] Figure 6 This is a structural block diagram of a control device for a vehicle temperature control system provided in Embodiment 4 of the present invention;

[0060] Figure 7 This is a hardware structure block diagram of an electronic device provided in various embodiments of the present invention. Detailed Implementation

[0061] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0062] Clothing thermal resistance refers to a parameter reflecting the thermal insulation performance of clothing. Different materials result in different thermal resistances. Clothing affects the evaporation of sweat from the skin, thus influencing the amount of sweat evaporated. Simultaneously, clothing absorbs sweat, causing a feeling of coolness, thus affecting the body's perception of heat. Furthermore, when the outside temperature drops, clothing also affects the conduction of cold air from the surrounding environment to the skin, thus affecting the body's perception of cold. Currently, to achieve intelligent air conditioning control, empirical formulas are often used to predict the thermal resistance of clothing for passengers in the cabin based on ambient temperature and wind speed, and the air conditioning is controlled accordingly. This method has a large error margin, and the calculations performed on-vehicle consume significant memory, leading to slow vehicle system operation. This invention provides a control method for a vehicle temperature control system that combines thermal environment conditions, initial clothing thermal resistance parameters, and metabolic rate information to control the vehicle temperature control system, thereby improving the accuracy of vehicle temperature control, reducing the computational burden on the vehicle, and increasing control efficiency.

[0063] Reference Figure 1 The diagram illustrates a flowchart of a control method for a vehicle temperature control system according to Embodiment 1 of the present invention, which may specifically include the following steps:

[0064] Step 101: Obtain thermal environment condition information;

[0065] Step 102: Determine the initial clothing thermal resistance parameters and metabolic rate information;

[0066] Step 103: Construct a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information;

[0067] Step 104: Send the garment thermal resistance meter to the temperature control client; the temperature control client is used to control the temperature control system based on the garment thermal resistance meter.

[0068] In a specific implementation, the embodiments of the present invention can be applied to a temperature control server. The temperature control server can have a corresponding temperature control client. For example, the temperature control client can be an intelligent temperature control application of the vehicle in which the passenger is riding. The temperature control server can be a server corresponding to the intelligent temperature control application configured on the vehicle in which the passenger is riding. The temperature control client can communicate with the temperature control server through a network. The temperature control server performs data acquisition and processing. The temperature control server can match multiple vehicles.

[0069] In practical applications, a person's clothing is related to their environment. Furthermore, due to different climates, even at the same temperature, clothing can be influenced by other factors. For example, at the same temperature, rainy day clothing will prioritize waterproofing compared to sunny day clothing, such as choosing waterproof fabrics or plastic raincoats. Since different materials have different thermal resistances, determining the thermal resistance of clothing to control the temperature control system requires considering not only the impact of ambient temperature on clothing but also the influence of other environmental factors. Additionally, the human body's metabolic rate varies under different environmental conditions and during exercise. For instance, the metabolic rate decreases at low temperatures and increases during exercise compared to rest. Since the purpose of controlling the temperature control system is to provide passengers with the optimal cabin environment, metabolic rate should also be considered when determining the thermal resistance of clothing to control the temperature control system.

[0070] In a specific implementation, embodiments of the present invention can acquire thermal environment condition information; determine initial clothing thermal resistance parameters and metabolic rate information; construct a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information; send the clothing thermal resistance table to a temperature control client; the temperature control client is used to control the temperature control system based on the clothing thermal resistance table. For example, acquiring thermal environment condition information can be composed of environmental information such as ambient temperature, solar irradiance, wind speed, and humidity of the vehicle's environment. Different condition information can be denoted as "Condition 1", "Condition 2", "Condition 3", etc., where the thermal environment condition information... Information can be collected by accessing local weather forecasts via the internet. The theoretical clothing thermal resistance that provides the best human thermal comfort (referring to a person's subjective satisfaction with the surrounding thermal environment) under different thermal environmental conditions can be used as the initial clothing thermal resistance parameter. The metabolic rate of passengers under different thermal environmental conditions can be used as the metabolic rate information. For example, in the same passenger cabin, the driver's metabolic rate can be 1.2 MET due to driving operations, while the passenger's metabolic rate can be 1.0 MET while sitting. Then, a clothing thermal resistance table can be constructed based on the thermal environmental conditions, the initial clothing thermal resistance parameter, and the metabolic rate information.

[0071] As a specific example of an embodiment of the present invention, the thermal resistance table for clothing can be as shown in Table 1.

[0072] Table 1:

[0073]

[0074]

[0075] Then, the thermal resistance meter readings from the clothing can be sent to the smart temperature control application configured in the passenger's vehicle. The smart temperature control application can directly control the temperature control system based on the clothing thermal resistance meter readings, such as adjusting the air outlet temperature of the smart air conditioning unit configured in the vehicle, and / or changing the air outlet direction, without needing to perform further calculations in the vehicle system. The smart temperature control application can individually control a specific air outlet of the smart air conditioning unit to adjust for a specific passenger, or it can control and adjust the entire system.

[0076] Of course, the above examples are merely illustrative. Those skilled in the art can use other environmental information as thermal environment operating conditions information, including but not limited to environmental information such as air pressure, wind direction, and illuminance. In this regard, the embodiments of the present invention do not impose any limitations.

[0077] In this embodiment of the invention, thermal environment condition information is acquired; initial clothing thermal resistance parameters and metabolic rate information are determined; a clothing thermal resistance table is constructed using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information; the clothing thermal resistance table is sent to the temperature control client; the temperature control client is used to control the temperature control system based on the clothing thermal resistance table, thereby achieving more accurate control of the vehicle temperature control system, reducing the computational burden inside the vehicle, and improving control efficiency.

[0078] Based on the above embodiments, modified embodiments of the above embodiments are proposed. It should be noted that, in order to keep the description brief, only the differences from the above embodiments are described in the modified embodiments.

[0079] In an optional embodiment of the present invention, the step of constructing a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information includes:

[0080] Construct a human thermal comfort model;

[0081] The human thermal comfort model is used to determine human skin temperature information and hypothalamic temperature information based on the thermal environment conditions information, the initial clothing thermal resistance parameters, and the metabolic rate information.

[0082] Based on the human skin temperature information and the hypothalamic temperature information, dynamic thermal sensation parameters are determined;

[0083] The garment thermal resistance table is constructed based on the dynamic thermal sensing parameters.

[0084] In practical applications, the preoptic area (POA) of the hypothalamus is the thermoregulatory center. Thermosensitive neurons in the POA can make corresponding adjustments to maintain the body's temperature homeostasis by sensing changes in external temperature. The skin, as the body's main heat dissipation organ, also plays a very important role in regulating body temperature. Therefore, in the process of improving human thermal comfort, introducing relevant considerations for the hypothalamus and skin can help to more accurately determine the comfortable temperature for the current state of the human body. At the same time, the DTS (Dynamic Thermal Sensation, which refers to the correlation between thermal sensation and the time derivative of mean skin temperature, core temperature, and mean skin temperature) model index can be used as a dynamic thermal sensation parameter.

[0085] In a specific implementation, embodiments of the present invention can construct a human thermal comfort model; using the human thermal comfort model, based on thermal environment conditions, initial clothing thermal resistance parameters, and metabolic rate information, determine human skin temperature information and hypothalamic temperature information; based on human skin temperature information and hypothalamic temperature information, determine dynamic thermal sensation parameters, and construct the clothing thermal resistance table based on the dynamic thermal sensation parameters.

[0086] In an optional embodiment of the present invention, the step of constructing the garment thermal resistance table based on dynamic thermal sensing parameters may include: when the dynamic thermal sensing parameters are within a preset value range, generating a target garment thermal resistance parameter for the thermal environment conditions information; the thermal environment conditions information and the target garment thermal resistance parameter have a corresponding relationship; and constructing the garment thermal resistance table based on the corresponding relationship using the target garment thermal resistance parameter and the thermal environment conditions information.

[0087] For example, when the thermal environment information includes environmental information such as ambient temperature, solar irradiance, wind speed, and humidity of the vehicle's environment, denoted as "thermal environment," and the initial clothing thermal resistance parameter is the theoretical clothing thermal resistance that provides optimal human thermal comfort for different thermal environment conditions, denoted as "clothing thermal resistance Icl," and the metabolic rate information is the passenger's metabolic rate for different thermal environment conditions, denoted as "metabolic rate M," the human skin temperature information, denoted as "Tsk," can be determined based on the human thermal comfort model according to the following formula 1. ,m And determine the hypothalamic temperature information, denoted as "Thy":

[0088] Formula 1:

[0089] Tsk ,m Thy = f(thermal environment, clothing thermal resistance Icl, metabolic rate M)

[0090] When human skin temperature information is Tsk ,m When the hypothalamic temperature information is Thy, the dynamic thermal sensation parameter, denoted as "DTS", can be determined based on the following formula 2:

[0091] Formula 2:

[0092]

[0093] F1=b1ΔT sk,m

[0094]

[0095]

[0096]

[0097] Optionally, after determining the DTS, this embodiment of the invention can determine whether the DTS is within a preset value range. For example, when DTS = 0.3, the preset value range is -0.5 to 0.5, that is, -0.5 ≤ DTS ≤ 0.5. Therefore, it can be determined that the DTS is within the preset value range. Then, the initial clothing thermal resistance parameter "clothing thermal resistance Icl" used to determine the DTS can be used as the target clothing thermal resistance parameter "target clothing thermal resistance Icl" for the thermal environment condition information "thermal environment" used to determine the DTS. The thermal environment condition information "thermal environment" and the target clothing thermal resistance parameter "target clothing thermal resistance Icl" can be in one-to-one correspondence. Then, based on the one-to-one correspondence between the two, a clothing thermal resistance table can be constructed using the target clothing thermal resistance parameter "target clothing thermal resistance Icl" and the thermal environment condition information "thermal environment".

[0098] Of course, the above is only an example. Those skilled in the art can use other indices besides DTS as dynamic thermal sensation parameters, including but not limited to PMV (Predicted Mean Vote). This invention does not limit this.

[0099] In this embodiment of the invention, a human thermal comfort model is constructed; the human thermal comfort model is used to determine human skin temperature information and hypothalamic temperature information based on the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information; dynamic thermal sensation parameters are determined based on the human skin temperature information and the hypothalamic temperature information; when the dynamic thermal sensation parameters are within a preset value range, a target clothing thermal resistance parameter is generated for the thermal environment condition information; the thermal environment condition information and the target clothing thermal resistance parameter have a corresponding relationship; the clothing thermal resistance table is constructed based on the target clothing thermal resistance parameter and the thermal environment condition information according to the corresponding relationship, thereby achieving more accurate acquisition of clothing thermal resistance information corresponding to the passenger's optimal thermal comfort state, further improving the matching degree between the vehicle temperature control system and passenger thermal comfort.

[0100] In an optional embodiment of the present invention, it further includes:

[0101] When the dynamic thermal sensation parameter is greater than the maximum threshold of the preset value range, the initial clothing thermal resistance parameter is reduced according to the preset value to generate a first initial clothing thermal resistance parameter. The first initial clothing thermal resistance parameter is then used as the initial clothing thermal resistance parameter. The steps of determining human skin temperature information and hypothalamic temperature information based on the thermal environment working condition information, the initial clothing thermal resistance parameter, and the metabolic rate information using the human thermal comfort model are then executed.

[0102] In practical applications, when using the DTS (Dynamic Thermal Sensing) index as a dynamic thermal sensation parameter, such as Figure 2 As shown, Figure 2 This is a schematic diagram of a DTS comfort scale provided in Embodiment 1 of the present invention. It can be seen that the overall DTS range is -3.0 to 3.0, corresponding from left to right to cold, cool, slightly cool, neutral, slightly warm, warm, and hot. When the value is 0, it is neutral, which is the most comfortable state perceived by the human body. The embodiment of the present invention can set a preset value range of -0.5 to 0.5, which is the DTS range based on the changes in the optimal thermal comfort state that the human body can perceive.

[0103] In practical implementation, the thermal environment information includes ambient temperature, solar irradiance, wind speed, and humidity of the vehicle's surroundings, denoted as "thermal environment." The initial clothing thermal resistance parameter is the theoretical clothing thermal resistance that provides optimal human thermal comfort under different thermal environment conditions, denoted as "clothing thermal resistance Icl." The metabolic rate information is the passenger's metabolic rate under different thermal environment conditions, denoted as "metabolic rate M." When the dynamic thermal sensation parameter is "DTS," if the dynamic thermal sensation parameter exceeds the maximum threshold of the preset value range, i.e., DTS > 0.5, then... Assuming that the dynamic thermal sensation parameter "DTS" determined by the initial clothing thermal resistance parameter is too high, based on the current thermal environment and metabolic rate information, the initial clothing thermal resistance parameter is considered too high. Therefore, the initial clothing thermal resistance parameter "clothing thermal resistance Icl" can be reduced by a preset value. For example, by a preset value of 0.5, the initial clothing thermal resistance parameter "clothing thermal resistance Icl" can be reduced to "clothing thermal resistance Icl-0.5" as the first initial clothing thermal resistance parameter. This first initial clothing thermal resistance parameter "clothing thermal resistance Icl-0.5" can then be used as the new initial... The initial clothing thermal resistance parameter is determined using "clothing thermal resistance Icl-0.5", thermal environment information "thermal environment", and metabolic rate information "metabolic rate M" to determine human skin temperature and hypothalamic temperature. Further, a new dynamic thermal sensation parameter, denoted as "DTS_1", can be determined using the human skin temperature and hypothalamic temperature information determined by "clothing thermal resistance Icl-0.5", thermal environment information "thermal environment", and metabolic rate information "metabolic rate M". Then, it is determined whether "DTS_1" is within the preset value range of -0.5 to 0.5. If " If "DTS_1" is greater than 0.5, the initial clothing thermal resistance parameter "clothing thermal resistance Icl-0.5" can be reduced to "clothing thermal resistance Icl-1" according to the preset value of 0.5. This process is repeated until "DTS_n" is within the preset value range. Then, the initial clothing thermal resistance parameter "clothing thermal resistance Icl-0.5n" corresponding to "DTS_n" within the preset value range can be used as the target clothing thermal resistance parameter. The clothing thermal resistance table is then constructed using the target clothing thermal resistance parameter "clothing thermal resistance Icl-0.5n" and the thermal environment information "thermal environment".

[0104] In this embodiment of the invention, when the dynamic thermal sensing parameter is greater than the maximum threshold of the preset value range, the initial clothing thermal resistance parameter is reduced by a preset value to generate a first initial clothing thermal resistance parameter. This first initial clothing thermal resistance parameter is then used as the initial clothing thermal resistance parameter. The step of determining human skin temperature information and hypothalamic temperature information based on the human thermal comfort model, the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information is then executed. This achieves the reduction of the initial clothing thermal resistance parameter based on the dynamic thermal sensing parameter and the maximum threshold of the preset value range, further refining the clothing thermal resistance information corresponding to the passenger's optimal thermal comfort state, and effectively improving the matching degree between the vehicle temperature control system and passenger thermal comfort.

[0105] In an optional embodiment of the present invention, it further includes:

[0106] When the dynamic thermal sensation parameter is less than the minimum threshold of the preset value range, the initial clothing thermal resistance parameter is increased by the preset value to generate a second initial clothing thermal resistance parameter. The second initial clothing thermal resistance parameter is then used as the initial clothing thermal resistance parameter. The step of determining human skin temperature information and hypothalamic temperature information based on the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information using the human thermal comfort model is then executed.

[0107] In practical applications, the embodiments of the present invention can set a preset numerical range of -0.5 to 0.5, which is the DTS range based on the optimal thermal comfort state change that can be perceived by the human body.

[0108] In practical implementation, the thermal environment information includes ambient temperature, solar irradiance, wind speed, and humidity of the vehicle's surroundings, denoted as "thermal environment." The initial clothing thermal resistance parameter is the theoretical clothing thermal resistance that provides optimal human thermal comfort under different thermal environment conditions, denoted as "clothing thermal resistance Icl." The metabolic rate information is the passenger's metabolic rate under different thermal environment conditions, denoted as "metabolic rate M." When the dynamic thermal sensation parameter is "DTS," if the dynamic thermal sensation parameter is less than the minimum threshold of the preset value range, i.e., DTS < -0.5, then... Assuming that the dynamic thermal sensation parameter "DTS" determined by the initial clothing thermal resistance parameter is too cold under the current thermal environment and metabolic rate information, meaning the initial clothing thermal resistance parameter value is too small, the initial clothing thermal resistance parameter "clothing thermal resistance Icl" can be increased by a preset value. For example, by a preset value of 0.5, the initial clothing thermal resistance parameter "clothing thermal resistance Icl" can be increased to "clothing thermal resistance Icl + 0.5" as the second initial clothing thermal resistance parameter. This second initial clothing thermal resistance parameter "clothing thermal resistance Icl + 0.5" can then be used as the new initial... The initial clothing thermal resistance parameter is determined using "clothing thermal resistance Icl+0.5", thermal environment information "thermal environment", and metabolic rate information "metabolic rate M" to determine human skin temperature and hypothalamic temperature. Further, a new dynamic thermal sensation parameter, denoted as "DTS_1", can be determined using the human skin temperature and hypothalamic temperature information determined by "clothing thermal resistance Icl+0.5", thermal environment information "thermal environment", and metabolic rate information "metabolic rate M". Then, it is determined whether "DTS_1" is within the preset value range of -0.5 to 0.5. If "D..." If TS_1 is less than -0.5, the initial clothing thermal resistance parameter "clothing thermal resistance Icl+0.5" can be increased to "clothing thermal resistance Icl+1" according to the preset value of 0.5. This process is repeated until "DTS_n" is within the preset value range. Then, the initial clothing thermal resistance parameter "clothing thermal resistance Icl+0.5n" corresponding to "DTS_n" within the preset value range can be used as the target clothing thermal resistance parameter. The clothing thermal resistance table is then constructed using the target clothing thermal resistance parameter "clothing thermal resistance Icl+0.5n" and the thermal environment condition information "thermal environment".

[0109] In this embodiment of the invention, when the dynamic thermal sensing parameter is less than the minimum threshold of the preset value range, the initial clothing thermal resistance parameter is increased by a preset value to generate a second initial clothing thermal resistance parameter. This second initial clothing thermal resistance parameter is then used as the initial clothing thermal resistance parameter. The step of determining human skin temperature information and hypothalamic temperature information based on the human thermal comfort model, the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information is then executed. This achieves the goal of increasing the initial clothing thermal resistance parameter based on the dynamic thermal sensing parameter and the minimum threshold of the preset value range, further refining the clothing thermal resistance information corresponding to the passenger's optimal thermal comfort state, and effectively improving the matching degree between the vehicle temperature control system and passenger thermal comfort.

[0110] In an optional embodiment of the present invention, the human thermal comfort model includes a physiological model and a psychological model.

[0111] In practical applications, factors influencing human thermal comfort include physiological and psychological factors. Heat exchange between the human body and the environment affects physiological activities, which in turn influence psychological activities, leading to thermal sensation. Conversely, psychological activities also influence physiological activities to some extent. For example, physiologically, the body's perception of hot and cold changes due to variations in skin temperature, skin humidity, perspiration rate, and blood pressure. Psychologically, thermal comfort is also influenced by subjective feelings. For instance, when a person is under stress, increased blood circulation and elevated skin temperature occur. Therefore, physiological and psychological factors are mutually influential and interconnected in the process of thermal comfort perception. Combining both factors significantly aids in the analysis of human thermal comfort.

[0112] In specific implementations, the human thermal comfort model in this invention embodiment may include a physiological model and a psychological model. For example, the physiological model can be used to analyze a person's physiological information. For instance, a person's skin temperature varies at different times. In the early morning, a person's skin temperature is lower and the metabolic rate is lower, while in the afternoon, the skin temperature is usually the highest and the person is in a high metabolic rate state. The physiological model can be used to analyze a person's psychological information. For instance, a driver is usually in a state of concentration while driving, while a passenger is more relaxed than the driver while riding in the car.

[0113] In this embodiment of the invention, by including a physiological model and a psychological model in the human thermal comfort model, the model system for analyzing human thermal comfort is further improved, the accuracy of clothing thermal resistance is further enhanced, more accurate control of the vehicle temperature control system is achieved, and the user experience is optimized.

[0114] To enable those skilled in the art to better understand the embodiments of the present invention, a complete example is provided below to illustrate the embodiments of the present invention.

[0115] refer to Figure 3 , Figure 3 This is a flowchart of generating target clothing thermal resistance parameters provided in Embodiment 1 of the present invention, as detailed below:

[0116] Assuming the thermal resistance of the passenger's clothing is the most comfortable for the current thermal environment, i.e., the optimal state of human thermal comfort, the passenger's clothing index, i.e., clothing thermal resistance, is mainly related to local environmental information such as ambient temperature, solar radiation, wind speed, and humidity. Common combinations of different thermal environment conditions are selected, and this information is input into the human thermal comfort calculation model, along with the predicted value of clothing thermal resistance. The human thermal comfort model is a high-precision model combining physiological and psychological models. By inputting thermal environment variables, clothing thermal resistance, and metabolic rate, the human skin temperature Tsk is first calculated. m The hypothalamic temperature (Thy) is calculated using Formula 1 below to determine the human skin temperature information, denoted as "Tsk". ,m And determine the hypothalamic temperature information, denoted as "Thy":

[0117] Formula 1:

[0118] Tsk ,m Thy = f(thermal environment, clothing thermal resistance Icl, metabolic rate M)

[0119] When human skin temperature information is Tsk ,m When the hypothalamic temperature information is Thy, the dynamic thermal sensation parameter, denoted as "DTS", can be determined based on the following formula 2:

[0120] Formula 2:

[0121]

[0122] F1=b1ΔT sk,m

[0123]

[0124]

[0125]

[0126] Analyze the results of the first round of calculations: If the result shows DTS > 0.5, it indicates that the thermal comfort result is relatively hot, and the selected clothing thermal resistance is relatively high. Reduce the clothing thermal resistance and recalculate. If the result shows DTS < -0.5, it indicates that the thermal comfort result is relatively cold, and the selected clothing thermal resistance is relatively low. Increase the clothing thermal resistance and recalculate. If the result shows -0.5 ≤ DTS ≤ 0.5, it indicates that the thermal comfort result is relatively comfortable, and retain the output of the clothing thermal resistance for the current working condition. Similarly, perform the clothing thermal resistance calculation for the next working condition. Once all working condition calculations are completed, a map table of clothing thermal resistance and thermal environment will be generated.

[0127] Secondly, there's the in-vehicle application. After the system starts, it obtains data on the vehicle's ambient temperature, solar irradiance, wind speed, and humidity from weather forecasts. This information is then input into a map table of clothing thermal resistance and the thermal environment to obtain thermal resistance data for passenger clothing in the passenger cabin under different thermal conditions.

[0128] As a specific example of an embodiment of the present invention, the map table of clothing thermal resistance and thermal environment can be as follows.

[0129] Table 1:

[0130]

[0131] Based on the obtained thermal resistance values ​​of clothing under different thermal environments, a set of values ​​is generated and used as the input values ​​for the air conditioner controller.

[0132] By employing the above method and combining comfort model algorithms with meteorological data, the thermal resistance of passenger clothing in the passenger compartment can be quickly obtained by looking up a table without calculation after boarding the vehicle. This provides information input for the intelligent air conditioning control strategy, solving the problem of large errors in the traditional positive prediction of clothing thermal resistance using empirical formulas. Based on the predicted clothing thermal resistance, the comfort model is accurately verified and corrected to find the accurate clothing thermal resistance value, thereby better controlling the vehicle temperature control system.

[0133] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0134] Example 2

[0135] Reference Figure 4 The diagram illustrates a flowchart of a control method for a vehicle temperature control system according to Embodiment 2 of the present invention, which may specifically include the following steps:

[0136] Step 401: Receive the clothing thermal resistance meter sent by the temperature control server;

[0137] Step 402: Control the temperature control system based on the clothing thermal resistance meter.

[0138] In a specific implementation, the embodiments of the present invention can be applied to a temperature control client. The temperature control client has a corresponding temperature control server. The temperature control server is used to obtain thermal environment condition information; determine the initial clothing thermal resistance parameters and metabolic rate information; construct a clothing thermal resistance table based on the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information; and send the clothing thermal resistance table to the temperature control client.

[0139] As for Embodiment 2, since it is basically similar to Embodiment 1, the description is relatively simple. For relevant details, please refer to the description of the method embodiment.

[0140] Example 3

[0141] Reference Figure 5 The diagram shows a structural block diagram of a control device for a vehicle temperature control system provided in Embodiment 3 of the present invention, which may specifically include the following modules:

[0142] Thermal environment condition information acquisition module 501 is used to acquire thermal environment condition information;

[0143] Metabolic rate information determination module 502 is used to determine the initial thermal resistance parameters and metabolic rate information of the clothing.

[0144] A clothing thermal resistance meter module 503 is used to construct a clothing thermal resistance meter using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information.

[0145] The clothing thermal resistance meter sending module 504 is used to send the clothing thermal resistance meter to the temperature control client; the temperature control client is used to control the temperature control system based on the clothing thermal resistance meter.

[0146] Optionally, the module for constructing a garment thermal resistance meter may include:

[0147] The Human Thermal Comfort Model Construction Submodule is used to construct a human thermal comfort model.

[0148] The hypothalamic temperature information determination submodule is used to determine human skin temperature information and hypothalamic temperature information based on the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information using the human thermal comfort model.

[0149] The dynamic thermal sensation parameter determination submodule is used to determine dynamic thermal sensation parameters based on the human skin temperature information and the hypothalamic temperature information.

[0150] The clothing thermal resistance meter construction submodule is used to construct the clothing thermal resistance meter based on the dynamic thermal sensing parameters.

[0151] Optionally, the clothing thermal resistance meter construction submodule may include:

[0152] The target garment thermal resistance parameter generation unit is used to generate a target garment thermal resistance parameter for the thermal environment condition information when the dynamic thermal sensation parameter is within a preset value range; the thermal environment condition information and the target garment thermal resistance parameter have a corresponding relationship.

[0153] A clothing thermal resistance meter construction unit is used to construct the clothing thermal resistance meter based on the corresponding relationship between the target clothing thermal resistance parameters and the thermal environment condition information.

[0154] Optionally, it may also include:

[0155] The first initial clothing thermal resistance parameter generation unit is used to reduce the initial clothing thermal resistance parameter by a preset value when the dynamic thermal sensation parameter is greater than the maximum threshold of the preset value range, generate the first initial clothing thermal resistance parameter, and use the first initial clothing thermal resistance parameter as the initial clothing thermal resistance parameter, and call the hypothalamic temperature information determination submodule.

[0156] Optionally, it may also include:

[0157] The second initial clothing thermal resistance parameter generation unit is used to increase the initial clothing thermal resistance parameter by a preset value when the dynamic thermal sensation parameter is less than the minimum threshold of the preset value range, generate a second initial clothing thermal resistance parameter, and use the second initial clothing thermal resistance parameter as the initial clothing thermal resistance parameter, and call the hypothalamic temperature information determination submodule.

[0158] Optionally, the human thermal comfort model may include a physiological model and a psychological model.

[0159] Example 4

[0160] Reference Figure 6 The diagram shows a structural block diagram of a control device for a vehicle temperature control system provided in Embodiment 4 of the present invention, which may specifically include the following modules:

[0161] The clothing thermal resistance meter receiving module 601 is used to receive the clothing thermal resistance meter sent by the temperature control server;

[0162] Temperature control system control module 602 is used to control the temperature control system based on the clothing thermal resistance meter.

[0163] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0164] This invention also discloses a vehicle, including a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the method described in this invention.

[0165] As the vehicle embodiment is basically similar to the method embodiment, it is described in a relatively simple way. For relevant details, please refer to the description of the method embodiment.

[0166] In addition, this invention also provides an electronic device, including: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the various processes of the above-described control method embodiments for a vehicle temperature control system and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0167] This invention also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the various processes described in the embodiments of the control method for a vehicle temperature control system, achieving the same technical effects. To avoid repetition, these details are not repeated here. The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0168] Figure 7 A schematic diagram of the hardware structure of an electronic device for implementing various embodiments of the present invention.

[0169] The electronic device 700 includes, but is not limited to, components such as: a radio frequency unit 701, a network module 702, an audio output unit 703, an input unit 704, a sensor 705, a display unit 706, a user input unit 707, an interface unit 708, a memory 709, a processor 710, and a power supply 711. Those skilled in the art will understand that... Figure 7The electronic device structures shown are not intended to limit the electronic device. An electronic device may include more or fewer components than shown, or combine certain components, or have different component arrangements. In embodiments of the present invention, the electronic device includes, but is not limited to, mobile phones, tablet computers, laptops, PDAs, in-vehicle terminals, wearable devices, and pedometers.

[0170] It should be understood that, in this embodiment of the invention, the radio frequency unit 701 can be used for receiving and transmitting signals during information transmission or calls. Specifically, it receives downlink data from the base station and processes it with the processor 710; additionally, it transmits uplink data to the base station. Typically, the radio frequency unit 701 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, etc. Furthermore, the radio frequency unit 701 can also communicate with networks and other devices through a wireless communication system.

[0171] Electronic devices provide users with wireless broadband internet access through network module 702, such as helping users send and receive emails, browse web pages, and access streaming media.

[0172] The audio output unit 703 can convert audio data received by the radio frequency unit 701 or the network module 702 or stored in the memory 709 into audio signals and output them as sound. Furthermore, the audio output unit 703 can also provide audio output related to specific functions performed by the electronic device 700 (e.g., call signal reception sound, message reception sound, etc.). The audio output unit 703 includes a speaker, a buzzer, and a receiver, etc.

[0173] Input unit 704 is used to receive audio or video signals. Input unit 704 may include a graphics processing unit (GPU) 7041 and a microphone 7042. The GPU 7041 processes image data of still images or videos acquired by an image capture device (such as a camera) in video capture mode or image capture mode. The processed image frames can be displayed on display unit 706. The image frames processed by GPU 7041 can be stored in memory 709 (or other storage medium) or transmitted via radio frequency unit 701 or network module 702. Microphone 7042 can receive sound and process such sound into audio data. The processed audio data can be converted into a format that can be transmitted to a mobile communication base station via radio frequency unit 701 in telephone call mode.

[0174] The electronic device 700 also includes at least one sensor 705, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor. The ambient light sensor can adjust the brightness of the display panel 7061 according to the ambient light level, and the proximity sensor can turn off the display panel 7061 and / or backlight when the electronic device 700 is moved to the ear. As a type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes). When stationary, it can detect the magnitude and direction of gravity and can be used to identify the posture of the electronic device (such as landscape / portrait switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc. The sensor 705 may also include a fingerprint sensor, pressure sensor, iris sensor, molecular sensor, gyroscope, barometer, hygrometer, thermometer, infrared sensor, etc., which will not be described in detail here.

[0175] The display unit 706 is used to display information input by the user or information provided to the user. The display unit 706 may include a display panel 7061, which may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.

[0176] User input unit 707 can be used to receive input numerical or character information, and to generate key signal inputs related to user settings and function control of electronic devices. Specifically, user input unit 707 includes a touch panel 7071 and other input devices 7072. Touch panel 7071, also known as a touch screen, can collect touch operations performed by the user on or near it (such as operations performed by the user using a finger, stylus, or any suitable object or accessory on or near touch panel 7071). Touch panel 7071 may include two parts: a touch detection device and a touch controller. The touch detection device detects the user's touch position and the signal generated by the touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends it to the processor 710, which receives and executes commands from the processor 710. In addition, touch panel 7071 can be implemented using various types such as resistive, capacitive, infrared, and surface acoustic wave. Besides touch panel 7071, user input unit 707 may also include other input devices 7072. Specifically, other input devices 7072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, power buttons, etc.), trackballs, mice, joysticks, etc., which will not be described in detail here.

[0177] Furthermore, the touch panel 7071 can cover the display panel 7061. When the touch panel 7071 detects a touch operation on or near it, it transmits the information to the processor 710 to determine the type of touch event. Subsequently, the processor 710 provides corresponding visual output on the display panel 7061 based on the type of touch event. Although in Figure 7 In this embodiment, the touch panel 7071 and the display panel 7061 are two independent components to realize the input and output functions of the electronic device. However, in some embodiments, the touch panel 7071 and the display panel 7061 can be integrated to realize the input and output functions of the electronic device. The specific implementation is not limited here.

[0178] Interface unit 708 serves as an interface for connecting external devices to electronic device 700. For example, external devices may include a wired or wireless headphone port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, an audio input / output (I / O) port, a video I / O port, a headphone port, and so on. Interface unit 708 can be used to receive input from external devices (e.g., data, power, etc.) and transmit the received input to one or more components within electronic device 700, or it can be used to transmit data between electronic device 700 and external devices.

[0179] The memory 709 can be used to store software programs and various data. The memory 709 may primarily include a program storage area and a data storage area. The program storage area may store the operating system, applications required for at least one function (such as sound playback, image playback, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). Furthermore, the memory 709 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.

[0180] The processor 710 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 the memory 709, and by calling data stored in the memory 709, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. The processor 710 may include one or more processing units; preferably, the processor 710 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 the processor 710.

[0181] The electronic device 700 may also include a power supply 711 (such as a battery) for supplying power to various components. Preferably, the power supply 711 is logically connected to the processor 710 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system.

[0182] In addition, the electronic device 700 includes some functional modules not shown, which will not be described in detail here.

[0183] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0184] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0185] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of the present invention.

[0186] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0187] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0188] In the 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 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 system, or some features may be ignored or not executed. Furthermore, the 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.

[0189] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0190] In addition, the functional units in the various embodiments of the present invention 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.

[0191] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. 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.

[0192] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A control method for a vehicle temperature control system, characterized in that, The method is applied to a temperature control server, which has a corresponding temperature control client. The temperature control client is an intelligent temperature control application for the vehicle in which the passenger is riding, including: Acquire thermal environment condition information, which includes the ambient temperature, solar radiation intensity, wind speed, and humidity of the environment in which the vehicle is located; Determine the initial thermal resistance parameters and metabolic rate information of the clothing; A clothing thermal resistance table is constructed using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information. The garment thermal resistance meter is sent to the temperature control client; the temperature control client is used to control the temperature control system based on the garment thermal resistance meter, without the need for further calculations in the vehicle system. The step of constructing a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information includes: Construct a human thermal comfort model; The human thermal comfort model is used to determine human skin temperature information and hypothalamic temperature information based on the thermal environment conditions information, the initial clothing thermal resistance parameters, and the metabolic rate information. Based on the human skin temperature information and the hypothalamic temperature information, dynamic thermal sensation parameters are determined; The clothing thermal resistance table is constructed based on the dynamic thermal sensing parameters. The step of constructing the clothing thermal resistance meter based on the dynamic thermal sensing parameters includes: When the dynamic thermal sensing parameter is within a preset value range, a target garment thermal resistance parameter is generated based on the thermal environment condition information; the thermal environment condition information and the target garment thermal resistance parameter have a corresponding relationship. The thermal resistance table of the garment is constructed based on the target garment thermal resistance parameter and the thermal environment condition information according to the corresponding relationship. When the dynamic thermal sensation parameter is not within the preset value range, the initial clothing thermal resistance parameter is adjusted according to the preset value. The adjusted initial clothing thermal resistance parameter is used as the new initial clothing thermal resistance parameter. The process of using the human thermal comfort model based on the thermal environment condition information, the new initial clothing thermal resistance parameter, and the metabolic rate information to determine human skin temperature information and hypothalamic temperature information is then performed. The new dynamic thermal sensation parameter is determined using the human skin temperature information and hypothalamic temperature information. It is then determined whether the new dynamic thermal sensation parameter is within the preset value range. If not, the initial clothing thermal resistance parameter is adjusted according to the preset value. This process is repeated until the dynamic thermal sensation parameter is within the preset value range.

2. The method according to claim 1, characterized in that, Also includes: When the dynamic thermal sensation parameter is greater than the maximum threshold of the preset value range, the initial clothing thermal resistance parameter is reduced according to the preset value to generate a first initial clothing thermal resistance parameter. The first initial clothing thermal resistance parameter is then used as the initial clothing thermal resistance parameter. The steps of determining human skin temperature information and hypothalamic temperature information based on the thermal environment working condition information, the initial clothing thermal resistance parameter, and the metabolic rate information using the human thermal comfort model are then executed.

3. The method according to claim 1 or 2, characterized in that, Also includes: When the dynamic thermal sensation parameter is less than the minimum threshold of the preset value range, the initial clothing thermal resistance parameter is increased by the preset value to generate a second initial clothing thermal resistance parameter. The second initial clothing thermal resistance parameter is then used as the initial clothing thermal resistance parameter. The step of determining human skin temperature information and hypothalamic temperature information based on the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information using the human thermal comfort model is then executed.

4. The method according to claim 1, characterized in that, The human thermal comfort model includes a physiological model and a psychological model.

5. A control method for a vehicle temperature control system, characterized in that, The method is applied to a temperature control client, which is an intelligent temperature control application for the vehicle in which the passenger is riding. The temperature control client has a corresponding temperature control server, which is used to acquire thermal environment condition information; determine initial clothing thermal resistance parameters and metabolic rate information; and construct a clothing thermal resistance table using the thermal environment condition information, which includes the ambient temperature, solar radiation intensity, wind speed and humidity of the vehicle's environment, the initial clothing thermal resistance parameters, and the metabolic rate information. Sending the garment thermal resistance meter to the temperature control client includes: Receive the clothing thermal resistance meter sent by the temperature control server; The temperature control system is controlled based on the thermal resistance meter of the clothing, eliminating the need for further calculations in the vehicle system. The step of constructing a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information includes: Construct a human thermal comfort model; The human thermal comfort model is used to determine human skin temperature information and hypothalamic temperature information based on the thermal environment conditions information, the initial clothing thermal resistance parameters, and the metabolic rate information. Based on the human skin temperature information and the hypothalamic temperature information, dynamic thermal sensation parameters are determined; The clothing thermal resistance table is constructed based on the dynamic thermal sensing parameters. The step of constructing the clothing thermal resistance meter based on the dynamic thermal sensing parameters includes: When the dynamic thermal sensing parameter is within a preset value range, a target garment thermal resistance parameter is generated based on the thermal environment condition information; the thermal environment condition information and the target garment thermal resistance parameter have a corresponding relationship. The thermal resistance table of the garment is constructed based on the target garment thermal resistance parameter and the thermal environment condition information according to the corresponding relationship. When the dynamic thermal sensation parameter is not within the preset value range, the initial clothing thermal resistance parameter is adjusted according to the preset value. The adjusted initial clothing thermal resistance parameter is used as the new initial clothing thermal resistance parameter. The process of using the human thermal comfort model based on the thermal environment condition information, the new initial clothing thermal resistance parameter, and the metabolic rate information to determine human skin temperature information and hypothalamic temperature information is then performed. The new dynamic thermal sensation parameter is determined using the human skin temperature information and hypothalamic temperature information. It is then determined whether the new dynamic thermal sensation parameter is within the preset value range. If not, the initial clothing thermal resistance parameter is adjusted according to the preset value. This process is repeated until the dynamic thermal sensation parameter is within the preset value range.

6. A control device for a vehicle temperature control system, characterized in that, The device is applied to a temperature control server, which has a corresponding temperature control client. The temperature control client is an intelligent temperature control application for the vehicle in which the passenger is riding, including: The thermal environment condition information acquisition module is used to acquire thermal environment condition information, which includes the ambient temperature, solar radiation intensity, wind speed and humidity of the environment in which the vehicle is located; The metabolic rate information determination module is used to determine the initial thermal resistance parameters and metabolic rate information of the clothing; A clothing thermal resistance meter module is constructed to construct a clothing thermal resistance meter using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information. A clothing thermal resistance meter sending module is used to send the clothing thermal resistance meter to the temperature control client; the temperature control client is used to control the temperature control system based on the clothing thermal resistance meter without performing further calculations in the vehicle system; The module for constructing a clothing thermal resistance meter may include: The Human Thermal Comfort Model Construction Submodule is used to construct a human thermal comfort model. The hypothalamic temperature information determination submodule is used to determine human skin temperature information and hypothalamic temperature information based on the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information using the human thermal comfort model. The dynamic thermal sensation parameter determination submodule is used to determine dynamic thermal sensation parameters based on the human skin temperature information and the hypothalamic temperature information. A clothing thermal resistance meter construction submodule is used to construct the clothing thermal resistance meter based on the dynamic thermal sensing parameters. The clothing thermal resistance meter construction submodule includes: The target garment thermal resistance parameter generation unit is used to generate a target garment thermal resistance parameter for the thermal environment condition information when the dynamic thermal sensation parameter is within a preset value range; the thermal environment condition information and the target garment thermal resistance parameter have a corresponding relationship. A clothing thermal resistance meter construction unit is used to construct the clothing thermal resistance meter based on the corresponding relationship between the target clothing thermal resistance parameters and the thermal environment condition information. The device is further configured to, when the dynamic thermal sensation parameter is not within the preset value range, adjust the initial clothing thermal resistance parameter according to the preset value, use the adjusted initial clothing thermal resistance parameter as the new initial clothing thermal resistance parameter, execute the process of determining human skin temperature information and hypothalamic temperature information based on the thermal environment condition information, the new initial clothing thermal resistance parameter, and the metabolic rate information using a human thermal comfort model, determine the new dynamic thermal sensation parameter using the human skin temperature information and hypothalamic temperature information, determine whether the new dynamic thermal sensation parameter is within the preset value range, and if not, continue to adjust the initial clothing thermal resistance parameter according to the preset value, repeating the cycle until the dynamic thermal sensation parameter is within the preset value range.

7. A control device for a vehicle temperature control system, characterized in that, The device is applied to a temperature control client, which is an intelligent temperature control application for the vehicle the passenger is riding in. The temperature control client has a corresponding temperature control server, which is used to acquire thermal environment condition information, including the ambient temperature, solar radiation intensity, wind speed, and humidity of the vehicle's environment; determine initial clothing thermal resistance parameters and metabolic rate information; and construct a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameters, and the metabolic rate information. Sending the garment thermal resistance meter to the temperature control client includes: A clothing thermal resistance meter receiving module is used to receive the clothing thermal resistance meter sent by the temperature control server; The temperature control system control module is used to control the temperature control system based on the clothing thermal resistance meter, without the need for further calculations in the vehicle system. The step of constructing a clothing thermal resistance table using the thermal environment condition information, the initial clothing thermal resistance parameter, and the metabolic rate information includes: Construct a human thermal comfort model; The human thermal comfort model is used to determine human skin temperature information and hypothalamic temperature information based on the thermal environment conditions information, the initial clothing thermal resistance parameters, and the metabolic rate information. Based on the human skin temperature information and the hypothalamic temperature information, dynamic thermal sensation parameters are determined; The clothing thermal resistance table is constructed based on the dynamic thermal sensing parameters. The step of constructing the clothing thermal resistance meter based on the dynamic thermal sensing parameters includes: When the dynamic thermal sensing parameter is within a preset value range, a target garment thermal resistance parameter is generated based on the thermal environment condition information; the thermal environment condition information and the target garment thermal resistance parameter have a corresponding relationship. The thermal resistance table of the garment is constructed based on the target garment thermal resistance parameter and the thermal environment condition information according to the corresponding relationship. When the dynamic thermal sensation parameter is not within the preset value range, the initial clothing thermal resistance parameter is adjusted according to the preset value. The adjusted initial clothing thermal resistance parameter is used as the new initial clothing thermal resistance parameter. The process of using the human thermal comfort model based on the thermal environment condition information, the new initial clothing thermal resistance parameter, and the metabolic rate information to determine human skin temperature information and hypothalamic temperature information is then performed. The new dynamic thermal sensation parameter is determined using the human skin temperature information and hypothalamic temperature information. It is then determined whether the new dynamic thermal sensation parameter is within the preset value range. If not, the initial clothing thermal resistance parameter is adjusted according to the preset value. This process is repeated until the dynamic thermal sensation parameter is within the preset value range.

8. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; The memory is used to store computer programs; When the processor executes a program stored in the memory, it implements the method as described in any one of claims 1-4 or 5.

9. A computer-readable storage medium having instructions stored thereon that, when executed by one or more processors, cause the processors to perform the method as described in any one of claims 1-4 or 5.

10. A vehicle, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the control method for a vehicle temperature control system as described in any one of claims 1-4 or 5.

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