Vehicle air conditioner control method, electronic equipment and storage medium

Abstract

The invention discloses a vehicle air conditioner control method, electronic equipment and a storage medium, and relates to the technical field of vehicles. The method comprises the steps that in response to an air conditioner starting signal of a specified seat, a sensor is controlled to obtain environment parameters and heat radiation data of passengers at the specified seat; based on the environment parameters, the specified seat position and the heat radiation data, estimating human body heat parameters of passengers at the specified seat position, and based on the human body heat parameters, calculating comfort values corresponding to the passengers at the specified seat position; and on the basis of the comfort value, an interactive sendible temperature option is configured, and after an interaction instruction is received, an air conditioner is controlled to regulate and control the temperature of the area where the designated seat is located. By means of the method, the real-time somatosensory requirements of passengers can be accurately reflected, and therefore better air conditioner comfort interaction can be achieved for users.

Description

Technical Field

[0001] The present disclosure relates to the technical field of vehicles, and in particular, to a vehicle air conditioner control method, an electronic device, and a storage medium. Background Art

[0002] At present, when the world is vigorously promoting low-carbon, new energy vehicles, with their advantages of environmental protection and energy conservation, are in the process of intelligent transformation of new energy vehicles. As the core unit of cockpit environment control, the energy efficiency management and interaction experience optimization of in-vehicle air conditioning systems have become the key directions of technological upgrading. With the continuous improvement of users' requirements for driving comfort, the traditional temperature control mode faces double challenges in terms of energy efficiency and meeting personalized needs.

[0003] Currently, in-vehicle air conditioning systems generally adopt an automatic control strategy based on environmental physical parameters, collecting data through temperature sensors at fixed positions and executing preset programs for adjustment. Such solutions have obvious limitations: the system lacks the ability to perceive changes in the physiological state of the driver and passengers, and cannot effectively identify the different thermal comfort needs of individuals in different seat areas and with different physical characteristics. Especially in long-distance driving scenarios, the human thermal comfort perception changes dynamically with the metabolic rate, and the existing static control strategies are difficult to achieve precise adaptation.

[0004] At the interaction design level, the mainstream systems still use an operation interface combining multi-layer menus and physical buttons. Users need to perform multiple switching operations to complete the coordinated adjustment of parameters such as temperature, wind speed, and wind direction. This discrete control method not only reduces the operation efficiency but also breaks the internal connection between parameter settings and the actual comfort perception of the human body. Although some models have introduced voice control functions, their interaction dimensions are single, and they cannot effectively capture users' expression needs for fuzzy comfort states such as "slightly cool" and "slightly warm".

[0005] Therefore, how to achieve the interaction of users regarding air conditioner comfort has become a technical problem that needs to be urgently solved by those skilled in the art. Summary of the Invention

[0006] In view of the above problems, the present disclosure provides a vehicle air conditioner control method, an electronic device, and a storage medium that overcome the above problems or at least partially solve the above problems. The technical solutions are as follows:

[0007] A vehicle air conditioner control method, the method includes:

[0008] In response to an air conditioner opening signal for a specified seat position, control a sensor to obtain environmental parameters and the thermal radiation data of the passenger in the specified seat position;

[0009] Estimate the human thermal parameters of the passenger in the specified seat based on the environmental parameters, the specified seat position, and the thermal radiation data, and calculate the comfort value corresponding to the passenger in the specified seat based on the human thermal parameters;

[0010] Configure an interactive body sensation temperature option based on the comfort value, and after receiving an interaction instruction, control the air conditioner to adjust the temperature of the area where the specified seat is located.

[0011] A vehicle air conditioner control method provided by the present disclosure can accurately reflect the real-time body sensation needs of passengers by dynamically collecting environmental parameters and passenger thermal radiation data and calculating personalized comfort values based on human thermal parameters. By configuring an interactive body sensation temperature option, the complex air conditioner parameter regulation is transformed into an intuitive interaction instruction, which not only avoids the "one-size-fits-all" temperature setting problem in traditional air conditioner control but also improves the active participation of passengers in temperature adjustment. At the same time, through the directional regulation of the area where the specified seat is located, independent temperature control of different zones inside the vehicle is achieved, effectively solving the problem of personalized demand conflicts in the multi-passenger scenario and significantly improving the comfort of the in-vehicle environment and energy utilization efficiency.

[0012] Optionally, the sensors include: an outside temperature sensor, a light sensor, a rain sensor, an in-vehicle temperature sensor in the area where the seat is located, and an infrared temperature measurement sensor;

[0013] The control sensor obtains environmental parameters and the thermal radiation data of the passenger in the specified seat, specifically including:

[0014] Collect the outside temperature, light intensity, and rainfall amount respectively through the outside temperature sensor, the light sensor, and the rain sensor; wherein, the outside temperature, light intensity, and rainfall amount are used to predict the thermal disturbance trend of the area where the specified seat is located;

[0015] Collect the temperature of the area where the specified seat is located through the in-vehicle temperature sensor in the area where the seat is located;

[0016] Collect the body surface thermal radiation sub-data of the passenger in the specified seat through the infrared temperature measurement sensor.

[0017] Optionally, the human thermal parameters include: human thermal environment heat transfer value, hypothalamic temperature, mean skin temperature, and neutral skin temperature;

[0018] The estimation of the human thermal parameters of the passenger in the specified seat based on the environmental parameters, seat position, and the thermal radiation data specifically includes:

[0019] Input the environmental parameters, seat position, and the thermal radiation data into a preset temperature estimation network model to determine the hypothalamic temperature, the mean skin temperature, and the neutral skin temperature.

[0020] Calculate the human body heat environment heat transfer value based on the mean skin temperature and the temperature of the area where the specified seat position is located.

[0021] In this embodiment, through the prediction of the hypothalamic temperature, mean skin temperature, and neutral skin temperature by the temperature estimation network model, it is possible to accurately simulate the characteristics of the human body core temperature distribution without relying on invasive detection. Combining the calculation of the human body heat environment heat transfer value with the heat balance equation, the physiological heat state of the passenger and the local environmental temperature are coupled and analyzed, providing a multi-dimensional quantitative basis for the extraction of comfort values. This parameter estimation method based on the physiological thermodynamics model significantly improves the scientificity and credibility of human body heat parameters.

[0022] Optionally, calculating the human body heat environment heat transfer value based on the mean skin temperature and the temperature of the area where the specified seat position is located specifically includes:

[0023] Based on the convective thermodynamics relationship between the mean skin temperature and the temperature of the area where the specified seat position is located, and combining with preset physical constant parameters, obtain the explicit heat conduction amount; wherein, the explicit heat conduction amount reflects the convective heat exchange characteristics between the human body and the environment;

[0024] Based on the radiative thermodynamics correlation between the mean skin temperature and the temperature of the area where the specified seat position is located, obtain the implicit heat radiation amount; wherein, the implicit heat radiation amount reflects the radiative heat exchange characteristics between the human body and the environment;

[0025] Integrate the composite effects of the explicit heat conduction amount and the implicit heat radiation amount to determine the human body heat environment heat transfer value.

[0026] In this embodiment, by introducing the calculation of the human body heat environment heat transfer value including convective heat transfer and radiative heat transfer, it is possible to accurately characterize the heat exchange process between the human body skin temperature and the environmental temperature. This process not only considers the explicit heat transfer (convective term), but also quantifies the influence of implicit heat radiation through the Stefan-Boltzmann law, making the calculation result of the human body heat environment heat transfer value more in line with the actual thermodynamics law, providing high-precision input parameters for the subsequent dynamic correction of comfort values.

[0027] Optionally, calculating the comfort value corresponding to the passenger in the specified seat position based on the human body heat parameters specifically includes:

[0028] Determine a first physiological difference parameter between the hypothalamic temperature and the neutral skin temperature, and a second physiological difference parameter between the mean skin temperature and the neutral skin temperature;

[0029] Dynamically weight the human thermal environment heat transfer value, the first physiological difference parameter, and the second physiological difference parameter through a preset weight coefficient to generate a comprehensive thermal state index;

[0030] Perform non-linear compression processing on the comprehensive thermal state index and map it to a preset numerical interval;

[0031] Adaptively adjust the mapped value through a normalization coefficient to obtain the comfort value corresponding to the specified seat passenger.

[0032] In this embodiment, by introducing the difference coefficients of hypothalamic temperature, mean skin temperature, and neutral skin temperature into the comfort value extraction process, the synergistic effect of the human core temperature regulation mechanism and surface thermal perception can be comprehensively reflected. Using non-linear normalization processing of multiple parameters not only avoids the problem of a single parameter dominating the comfort value but also ensures a smooth transition of the output result within a reasonable range. This weight allocation strategy based on physiological differences significantly improves the adaptability of the comfort value to individual thermal sensitivity differences.

[0033] Optionally, configuring an interactive body sensation temperature option based on the comfort value specifically includes:

[0034] Based on the comfort value, determine the temperature regulation curves corresponding to each preset body sensation temperature gear;

[0035] Associate the temperature regulation curves with the body sensation temperature option controls on the corresponding interactive interface of the vehicle-mounted central control screen.

[0036] In this embodiment, by mapping the comfort value to the temperature regulation curves corresponding to the preset body sensation temperature gears and associating the curves with the interactive interface controls, complex air-conditioning parameter combinations can be converted into options that users can intuitively select. This design not only reduces the operation complexity of users but also ensures the coherence and stability of temperature regulation under different gears through the scientific matching of the preset curves, avoiding parameter conflict problems that may occur during manual adjustment.

[0037] Optionally, configuring an interactive body sensation temperature option specifically includes:

[0038] Based on the comfort value, determine the temperature regulation curves corresponding to each preset body sensation temperature gear;

[0039] Based on the temperature control curve, a dynamically editable interactive curve is constructed and the interactive curve is sent to the corresponding interactive interface on the in-vehicle central control screen; wherein, for the interactive curve, the user can dynamically pull it through the central control screen according to specific requirements to adjust the air supply parameters of the air supply system.

[0040] In this embodiment, the user can freely design the temperature change curve according to real-time body sensation requirements, flexibly set the cooling intensity and transition rhythm at different time periods through drag operations, break through the adjustment limitations of traditional fixed gears, and implement a temperature control strategy that precisely matches individual differentiated requirements; at the same time, the graphical interactive design converts complex multi-parameter collaborative adjustment into intuitive curve editing operations, greatly simplifying the user operation process.

[0041] Optionally, controlling the air conditioner to regulate the temperature of the area where the specified seat is located specifically includes:

[0042] According to the interactive instruction, determine the corresponding temperature control curve to be executed and activate the air supply system in the area where the specified seat is located;

[0043] Based on the temperature control curve to be executed, dynamically adjust the air supply parameters of the air supply system to achieve temperature control of the area where the passenger in the specified seat is located.

[0044] In this embodiment, by activating the air supply system in the area where the specified seat is located and dynamically adjusting the air supply parameters based on the temperature control curve, rapid response of local temperature control can be achieved. At the same time, through the precise matching of the air supply system and the seat position, the ineffective air supply range is reduced, and the energy utilization efficiency is improved.

[0045] Optionally, the method further includes:

[0046] During the process of controlling the air conditioner to regulate the temperature of the area where the specified seat is located, obtain the environmental parameters and the thermal radiation data of the passenger in the specified seat in real time to calculate the dynamic offset ΔM of the human thermal environment heat transfer value 1 ;

[0047] Based on the dynamic offset ΔM 1 , dynamically correct the temperature control curve to be executed to achieve dynamic correction of the air supply parameters.

[0048] In this embodiment, by calculating the dynamic offset ΔM of the human thermal environment heat transfer value in real time 1, and dynamically correct the temperature control curve based on this offset, enabling closed-loop feedback control of the passenger's perceived temperature change. This dynamic correction mechanism can automatically adjust the air supply parameters to maintain the target comfort value when the passenger's thermal state changes gradually (such as due to changes in clothing or activity level), avoiding the frequent manual adjustment problems caused by environmental disturbances in traditional open-loop control, and significantly improving the system's adaptability and long-term control stability.

[0049] An electronic device, the electronic device comprising:

[0050] At least one processor;

[0051] And a memory communicatively connected to the at least one processor;

[0052] Wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute a vehicle air-conditioning control method as described in any one of the above.

[0053] A vehicle, the vehicle comprising:

[0054] A memory for storing executable program code;

[0055] A processor for calling and running the executable program code from the memory, such that the vehicle executes a vehicle air-conditioning control method as described in any one of the above.

[0056] A computer-readable storage medium storing computer-executable instructions, which when executed, implement a vehicle air-conditioning control method as described in any one of the above.

[0057] The above description is only an overview of the technical solution of the present disclosure. In order to be able to understand the technical means of the present disclosure more clearly, it can be implemented in accordance with the content of the specification. And in order to make the above and other objects, features and advantages of the present disclosure more obvious and understandable, the following specific embodiments of the present disclosure are specifically exemplified. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of illustrating the preferred embodiments and are not considered to be a limitation of the present disclosure. And throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0059] Figure 1 is a flowchart of a vehicle air-conditioning control method provided by an embodiment of the present application;

[0060] Figure 2A form diagram of an interactive body-sensing temperature option provided for this application;

[0061] Figure 3 Another form diagram of an interactive body-sensing temperature option provided for this application;

[0062] Figure 4 A schematic diagram of the internal structure of an electronic device provided for an embodiment of this application. Detailed implementation manners

[0063] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art.

[0064] With the acceleration of the intelligentization process of new energy vehicles, the high-efficiency energy saving and personalized comfort control of in-vehicle air conditioning systems have become the core technical bottlenecks for improving the user experience. In the prior art, the control of in-vehicle air conditioners mainly relies on environmental parameters (such as in-vehicle temperature and humidity) collected by temperature sensors at fixed positions inside the vehicle, and executes global temperature control strategies through preset programs. However, such solutions have significant defects: First, the system lacks the ability to perceive the dynamic changes in the physiological heat state of passengers and cannot distinguish the individual differences of passengers in different seats (such as physical constitution, clothing thickness, metabolic rate); Second, the collection dimension of environmental parameters is single, and the influence of the combined disturbance of heat exchange inside and outside the vehicle (such as solar radiation, sudden changes in external temperature and humidity) on the local thermal environment is not fully considered; Third, the interaction logic is disconnected from the human comfort perception, and users need to manually adjust multiple discrete parameters (temperature, wind speed, wind direction), making it difficult to intuitively express fuzzy body-sensing requirements such as "slightly cool" and "warm".

[0065] Specifically, the traditional solutions have the following technical drawbacks:

[0066] 1. Fragmented processing of environmental parameters: In the prior art, parameters such as external temperature, light intensity, and rainfall are not used for air conditioner power adjustment, so the prior art does not construct a dynamic thermal load model for the synergistic effect of the three. For example: In a summer rainstorm scenario, the decrease in external temperature may reduce the air conditioning cooling demand, but the increase in humidity caused by rainfall will exacerbate the stuffy feeling of passengers. The traditional solution cannot accurately respond due to ignoring the parameter coupling effect; In a winter sunny day scenario, when the low external temperature coexists with direct sunlight, the system may overheat the directly sunlit area due to the lack of a radiation heat compensation mechanism, resulting in an imbalance in the cold and heat perception of passengers.

[0067] 2. Lack of estimation of physiological thermal state: Existing technologies do not introduce the fusion analysis of human thermal radiation data (such as body surface temperature and thermal radiation distribution) and core physiological parameters (such as hypothalamic temperature and skin heat exchange value), resulting in a deviation between the air conditioning control strategy and the actual thermal comfort needs of passengers. Especially during long-distance driving, the dynamic thermal adaptation process caused by changes in passenger metabolic rate (such as increased sweating and changes in body surface humidity) cannot be captured in real time, resulting in a lag in air conditioning control.

[0068] 3. Rigid interaction and control logic: Mainstream systems rely on hierarchical menus or physical buttons to adjust parameters, and users need to operate repeatedly to complete the coordinated setting of temperature, wind speed, and wind direction. This discrete control method breaks the correlation between parameter combinations and human comfort perception, and cannot dynamically recommend adaptive somatosensory modes based on environmental disturbances (such as sudden heavy rain or clouds blocking the sun).

[0069] To solve the above problems, the present application provides a vehicle air conditioning control method, such as Figure 1 As shown, Figure 1 A flow chart of a vehicle air conditioning control method provided in an embodiment of the present application, which is applicable to a vehicle-mounted control system, specifically comprises the following steps:

[0070] Step 101: In response to an air-conditioning start signal of a designated seat, a control sensor is used to obtain environmental parameters and thermal radiation data of a passenger in the designated seat.

[0071] In this embodiment, the core is to provide basic input for subsequent personalized air conditioning control through multi-dimensional data collection. Specifically, when the vehicle detects the air conditioning start signal of the designated seat position (such as touch operation, voice command or pressure sensor trigger), the vehicle control system will simultaneously start the collaborative collection process of environmental parameters and passenger thermal radiation data to accurately perceive the real-time status of the passenger's microenvironment.

[0072] In a possible implementation of the present application, the sensors for collecting environmental parameters include an outdoor temperature sensor, a light sensor, a rain sensor, and an in-vehicle temperature sensor for the area where the seat is located, and the sensor for collecting passenger thermal radiation data is an infrared temperature sensor.

[0073] In a possible implementation of the present application, the control sensor obtains environmental parameters and thermal radiation data of passengers in designated seats, specifically including: collecting the outside temperature, light intensity, and rainfall amount respectively through an outside temperature sensor, a light sensor, and a rain sensor; it can be understood that the outside temperature, light intensity, and rainfall amount are used to predict the thermal disturbance trend of the area where the designated seat is located; collecting the temperature of the area where the designated seat is located through an inside temperature sensor in the area where the seat is located; and collecting the surface thermal radiation data of passengers in designated seats through an infrared temperature sensor.

[0074] Exemplarily, an outside temperature sensor, a light sensor, and a rain sensor are respectively deployed on the vehicle body surface and window edges, etc., for detecting the influence of the external environment on the in-vehicle heat load. For example, if the co-pilot side window detects direct sunlight with high intensity, the system will mark that area for additional cooling compensation.

[0075] Exemplarily, in-vehicle temperature sensors in the area where the seat is located are distributed around the seat (such as the headrest, foot, and armrest areas), and a temperature distribution map can be constructed through multi-point measurement to avoid identifying local unevenness of heat and cold. It can be understood that if the temperature of the passenger's foot is significantly lower than the set value, it will be determined that there is an air flow blind area in that area.

[0076] In this embodiment, the thermal radiation data specifically refers to the body surface temperature distribution and heat dissipation characteristics of passengers obtained through non-contact sensors.

[0077] Exemplarily: Infrared sensor arrays are built into the seat backrest and headrest to scan the body surface temperature of key areas such as the passenger's back and neck at a frequency of 10 times per second. For example, when it is detected that the temperature of the passenger's left arm is relatively high due to being irradiated by sunlight near the window, that part will be marked as a target for directional cooling. The bare skin and the area covered by clothing are distinguished through thermal imaging analysis, and the thermal insulation effect of the clothing is dynamically estimated. It can be understood that if the passenger is wearing a thick coat, subsequently, the intensity of the cold air blowing directly can be reduced, and instead, a gentle surrounding air supply mode can be adopted to adjust the operating state of the vehicle's air conditioner, so as to achieve the purpose of controlling the vehicle's air conditioner based on the environmental comfort of a single user.

[0078] It should also be noted that when this application responds to the air conditioner opening signal of a specified seat position, it is not limited to only being able to control a single seat position at the same moment. It can also be all seat positions in the vehicle or a limited number of positions.

[0079] Step 102: Based on the environmental parameters, the position of the specified seat position, and the thermal radiation data, estimate the human thermal parameters of the passenger in the specified seat position, and calculate the comfort value corresponding to the passenger in the specified seat position based on the human thermal parameters.

[0080] In this embodiment, the core is to quantify the physiological thermal state of the passenger by fusing the environmental data and the passenger's thermal radiation characteristics, and generate an intuitive comfort value index based on a scientific model. Specifically, the in-vehicle and outside temperatures, light intensity, seat area temperature, and body surface thermal radiation data collected in step 101 are input into a preset algorithm model to complete the estimation of human thermal parameters and the calculation of comfort values in sequence, providing a basis for subsequent interactive temperature control.

[0081] It should be noted that in the embodiments of the present application, the human body thermal parameters include hypothalamic temperature (reflecting core body temperature), mean skin temperature (body surface heat dissipation state), neutral skin temperature (ideal thermal balance state), and the heat exchange value of the human body thermal environment (heat exchange efficiency with the environment).

[0082] In the embodiments of the present application, the hypothalamic temperature, mean skin temperature, and neutral skin temperature are obtained by a preset temperature estimation network model. The temperature estimation network model is trained through machine learning and can predict the core physiological parameters of passengers based on the seat position (such as near the window or in the middle of the vehicle), ambient temperature, and body surface thermal radiation data. For example, when it is detected that the passenger is in the co-pilot seat and the light intensity on the left is relatively high, the model will automatically associate the change law of the hypothalamic temperature in similar scenarios in the historical data and output the corrected M2 (hypothalamic temperature) and M3 (neutral skin temperature). It should be noted that the temperature estimation network model can be constructed based on a suitable neural network model, and the present application does not limit this here.

[0083] It can be understood that the model learns the mapping relationship between the core body temperature and the body surface temperature through historical data. For example, when the passenger is near the window and the light intensity is high, the model automatically increases the predicted value of the hypothalamic temperature.

[0084] In the embodiments of the present application, based on the mean skin temperature and the temperature of the area where the specified seat is located, the heat exchange value of the human body thermal environment is calculated, which specifically includes: based on the convective thermodynamics relationship between the mean skin temperature and the temperature of the area where the specified seat is located, combined with preset physical constant parameters, the explicit heat conduction amount is obtained; where the explicit heat conduction amount reflects the convective heat exchange characteristics between the human body and the environment; based on the radiative thermodynamics correlation between the mean skin temperature and the temperature of the area where the specified seat is located, the implicit heat radiation amount is obtained; where the implicit heat radiation amount reflects the radiative heat exchange characteristics between the human body and the environment; the explicit heat conduction amount and the implicit heat radiation amount are integrated for compound effect to determine the heat exchange value of the human body thermal environment.

[0085] In a possible implementation manner of the present application, the calculation of the heat exchange value of the human body thermal environment can be expressed by the following formula:

[0086]

[0087] where h c is the convective heat transfer coefficient, M 4 is the mean skin temperature, M amb is the temperature of the area where the passenger in the specified seat is located, ∈ is the skin emissivity constant, and σ is the Stefan-Boltzmann constant.

[0088] It can be understood that the heat balance equation in this embodiment simultaneously considers convective heat dissipation (h c ·(M 4-M am b)) and radiative heat dissipation Two mechanisms. In the direct sunlight scenario, the influence of the radiative heat dissipation term is significantly enhanced. For example, if the surface temperature of the passenger is M 4 = 36 °C and the ambient temperature is M amb = 32 °C, then the heat exchange amount contributed by the radiative term may reach more than twice that of the convective term, directly resulting in an increase in the M 1 value, and a stronger cooling demand needs to be triggered.

[0089] In the embodiment of the present application, based on the human body heat parameters, the comfort value corresponding to the passenger in the specified seat is calculated, specifically including: determining the first physiological difference parameter between the hypothalamic temperature and the neutral skin temperature, and the second physiological difference parameter between the mean skin temperature and the neutral skin temperature; dynamically weighting the human body heat environment heat exchange value, the first physiological difference parameter and the second physiological difference parameter through a preset weight coefficient to generate a comprehensive thermal state index; performing a non-linear compression process on the comprehensive thermal state index to map it to a preset numerical interval; adaptively adjusting the mapped value through a normalization coefficient to obtain the comfort value corresponding to the passenger in the specified seat.

[0090] In a possible implementation manner of the present application, the comfort value calculation can be expressed by the following formula:

[0091] C = K · tanh[M 1 +(M 2 -M 3 )·w 1 +(M 4 -M 3 )·w 2

[0092] where K is the normalization coefficient, w 1 is the difference coefficient between the hypothalamic temperature and the neutral skin temperature, w 2 is the difference coefficient between the mean skin temperature and the neutral skin temperature, M 1 is the human body heat environment heat exchange value, M 2 is the hypothalamic temperature, M 3 is the neutral skin temperature, M 4 is the mean skin temperature.

[0093] It should be noted that M 2 -M 3 is the first physiological difference parameter used to reflect the core body temperature regulation demand, M 4 -M 3 is the second physiological difference parameter characterizing the actual body surface heat dissipation state, and w1 and w2 are preset weight coefficients used to balance the difference between the core body temperature and the body surface perception.

[0094] ​In this embodiment, the hyperbolic tangent function (tanh) is used to compress the comprehensive thermal parameter to the interval [-1, 1], avoiding a single parameter (such as M at extremely high temperatures) 1 ) from dominating the calculation result, while ensuring a smooth transition of the comfort value. For example, when M 1 fluctuates violently, the output value will still stabilize within a reasonable range, preventing the air conditioner from frequently starting and stopping.

[0095] It can be understood that the generation of the comfort value is not the ultimate goal, but rather to provide a scientific anchor point for the interaction options in step 103. For example: when C > 0.6, the in-vehicle screen displays the "slightly hot" option and associates it with the control curve of "enhanced cooling + reduced humidity"; when -0.2 < C < 0.2, it is marked as "comfortable" and the current air supply parameters are maintained; when C < -0.5, it prompts "slightly cold" and recommends "heating + foot-directed air supply".

[0096] It should be noted that the above process runs completely automatically, and the user only needs to select the body sensation option according to the prompt. This design hides the complex parameter calculation in the background, retaining both the accuracy of scientific control and reducing the operation threshold through intuitive interaction. For example, elderly passengers do not need to understand "hypothalamic temperature" or "thermal balance equation", and only need to click the "slightly cool" button, and the system can automatically match the best air supply parameters.

[0097] Step 103: Based on the comfort value, configure interactive body sensation temperature options, and after receiving an interaction instruction, control the air conditioner to regulate the temperature of the area where the specified seat is located.

[0098] In this embodiment, the core is to convert the comfort value generated in step 102 into body sensation temperature options that can be intuitively operated by the user, and trigger precise local temperature control through interaction instructions. Specifically, the system dynamically configures the preset gears in the interaction interface based on the quantization result of the comfort value, and maps the user's selection to a specific air supply parameter adjustment strategy to achieve "one-key" personalized temperature control.

[0099] It should be noted that the body sensation temperature option is a simplified control gear pre-mapped by the system according to the comfort value, aiming to convert the complex air conditioner parameter combination into an instruction that is easy for the user to understand. Figure 2 This is a form diagram of an interactive body sensation temperature option provided by this application, as Figure 2 shown, including 7 gears, namely cold, cool, slightly cool, neutral, slightly warm, warm, and hot. After the user selects a gear and starts the air conditioner to run, the corresponding body sensation temperature can be felt.

[0100] It should be further noted that the generation of the body sensation temperature option has nothing to do with the current C value and is always provided. For example Figure 2The seven fixed gears displayed (cold, cool, slightly cool, neutral, slightly warm, warm, hot). After the user selects any gear, the system will directly call the preset temperature control curve associated with that gear, and forcefully adjust the air conditioner operation parameters to make the passengers feel the body temperature corresponding to the selected gear. For example: when the passenger's body feels hot (C = 0.7), the air supply temperature of the "cold" gear will be lower than that in the conventional scenario to achieve rapid cooling; when the passenger's body feels slightly cold (C = -0.3), the "cold" gear may only trigger a small amount of cooling or switch to gentle air supply.

[0101] In a possible implementation manner of the present application, based on the comfort value, interactive body temperature options are configured, specifically including: based on the comfort value, determining the temperature control curve corresponding to each preset body temperature gear; associating the temperature control curve with the body temperature option control on the corresponding interactive interface of the vehicle-mounted central control screen.

[0102] In this embodiment, the temperature control curve is a parameter set dynamically generated according to the current comfort value C, and is used to define the air conditioner operation strategy for each body temperature gear (for example Figure 2 the seven gears: cold, cool, slightly cool, neutral, slightly warm, warm, hot).

[0103] It can be understood that the air supply temperature, wind speed, and air supply mode of each gear are not fixed values, but relative quantities adjusted in real time based on the current C value.

[0104] Exemplarily, in the case of the default gear parameters for the air supply parameters, cold gear: air supply temperature adjustment amount: T offset = -2.0×C (if C > 0, the refrigeration intensity is enhanced; if C < 0, the refrigeration intensity is weakened); wind speed level: V = high + 0.5×C (the larger the C value, the higher the wind speed); air supply angle: preferentially blow directly at the detected high-temperature areas (such as the head or arm). It can be understood that in the above example, the parameter adjustment is to further adjust according to the C value on the basis of the default gear parameters (default cold gear parameters, further corrected according to the C value); among them, the air supply temperature adjustment amount is that if the air supply temperature in the default cold gear is A, then the further adjustment according to the C value is A + T offset ; similarly, if in the default cold gear, the air outlet wind speed level is the high air outlet wind speed, then the further adjustment according to the C value is, under the parameters of the high air outlet wind speed, further add 0.5×C wind speed according to the C value. In this embodiment, the temperature control curve is a parameter sequence that changes over time, and its core is to make the passenger's body feel smoothly transition from the current state to the comfortable state corresponding to the target gear through a progressive adjustment strategy, and finally maintain stability. It should be noted that the curve generation in the embodiments of the present application needs to meet the following dynamic adaptability principles: the initial parameters quickly respond to the current body feeling requirements, and the subsequent parameters gradually converge to the steady state to avoid being too cold / too hot.

[0105] In this embodiment, the air-conditioning regulation corresponding to the curve includes three stages: a rapid response stage, a transition and stabilization stage, and a steady-state maintenance stage. Among them, during the rapid response stage (t0 to t1), the air supply parameters are rapidly adjusted to make the body sensation close to the target state; during the transition and stabilization stage (t1 to t2), the adjustment rate is gradually slowed down to avoid sudden changes in the body sensation; during the steady-state maintenance stage (t > t2), the parameters are maintained stable.

[0106] In this embodiment, when generating the temperature regulation curve, for the setting of the parameters in the rapid response stage, the cooling / heating amplitude is proportional to |C - Ctarget|. For example, when C = 0.5, the initial cooling amplitude of the "slightly cool" gear is 3°C, and when C = 0.3, the cooling amplitude is 1.5°C. For the setting of the transition period duration, the greater the deviation of the body sensation from the target value, the longer the transition period (e.g., when |C - Ctarget| > 0.4, t2 = 8 min). The specific mapping logic between the C value and the curve can be set according to actual needs, and this application does not limit it here.

[0107] In this embodiment, the association process between the temperature regulation curve and the interactive control on the in-vehicle central control screen is achieved through dynamic data binding and visual design. After the system generates the temperature regulation curves for each gear based on the comfort value C, these curves will be presented on the in-vehicle central control screen in the form of interactive controls, and the user can trigger the corresponding air-conditioning regulation instructions by clicking or swiping operations, such as Figure 2 .

[0108] In the embodiment of this application, another visualization solution can also be provided. Specifically, the generated curve data is encoded into a time-parameter sequence. For example, the parameters such as temperature, wind speed, and air supply angle in the initial cooling, transition rise, and steady-state maintenance stages of the "slightly cool" gear are disassembled into discrete control points along the time axis. These control points are mapped into visual elements through the graphics rendering engine of the in-vehicle system. For example, the temperature change trend is displayed in the form of a line chart, or the air supply intensity in different stages is reflected by the color gradient of the progress bar, as Figure 3 shown, Figure 3 is a form diagram of another interactive body sensation temperature option provided by this application. The user can select the corresponding gear by clicking on the corresponding curve.

[0109] It should be noted that the design of the interaction interface needs to take into account both intuitiveness and information density. For Figure 1In this form, each perceived temperature gear control (such as "cold", "cool", "neutral", etc.) can also be embedded with a curve preview function. When the user touches the gear icon lightly, the interface slides to the side to expand the thumbnail curve graph, showing the predicted curves of temperature and wind speed within the next 10 minutes at this gear, and at the same time marking the key time nodes (such as "2 minutes remaining in the rapid cooling period"). The curve data is synchronized with the air-conditioning control module in real time through in-vehicle Ethernet. After the user selects a certain gear, the system automatically analyzes the time-parameter sequence in the curve and converts it into a CAN bus instruction to send to the air supply unit of the specified seat position. For example, after selecting the "slightly cool" gear, the system sets the air supply temperature to 22°C and the wind speed to high gear at the initial stage according to the curve definition, gradually rises to 24°C and reduces the wind speed after 2 minutes, and finally enters the steady-state maintenance mode.

[0110] In one embodiment, as Figure 3 shown in another form of an interactive perceived temperature option graph, when determining the temperature control curve corresponding to each preset perceived temperature gear based on the comfort value, a dynamic editable interactive curve can also be constructed based on the temperature control curve.

[0111] In one embodiment, the user can dynamically pull the shape of the curve to modify the temperature control curve, and then the system controls the air supply according to the modified curve by the user. In addition, the dynamically editable interactive curve can also draw the changes of time and gears. For example, if the current C value of the passenger in the specified seat position is relatively high, through the interactive interface, it can be planned to supply air in the cold gear at the 0th moment, start to supply air in the slightly cool gear at ten minutes, and then supply air in the neutral gear at twenty minutes.

[0112] In a possible implementation manner of the present application, the method further includes: during the process of controlling the air conditioner to adjust the temperature in the area where the specified seat position is located, obtaining the environmental parameters and the thermal radiation data of the passenger in the specified seat position in real time to calculate the dynamic offset ΔM of the human thermal environment heat transfer value 1 ; based on the dynamic offset ΔM 1 , dynamically correct the temperature control curve to be executed to achieve dynamic correction of the air supply parameters.

[0113] Exemplarily, when a user just gets in the car in winter and wears a down jacket, the air conditioner supplies air according to the C value of wearing a down jacket after it is turned on. After getting in the car for a period of time, the user takes off the down jacket, and at this time the C value changes suddenly, and the air supply at this time is not suitable for the passenger in the current specified seat position. Therefore, the dynamic offset ΔM of the human thermal environment heat transfer value can be calculated by obtaining the environmental parameters and the thermal radiation data of the passenger in the specified seat position in real time 1 to correct the temperature control curve to be executed.

[0114] The above is the method embodiment proposed by the present application. Based on the same inventive concept, the embodiment of the present application also provides an electronic device, and its structure is asFigure 4 as shown

[0115] Figure 4 is a schematic diagram of the internal structure of an electronic device provided by an embodiment of the present application. As Figure 4 shown, the device includes:

[0116] at least one processor 401;

[0117] and a memory 402 communicatively connected to the at least one processor;

[0118] wherein, the memory 402 stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor 401 so that the at least one processor 401 can:

[0119] in response to an air conditioner turn-on signal for a specified seat position, control a sensor to obtain environmental parameters and thermal radiation data of a passenger in the specified seat position;

[0120] estimate the human body thermal parameters of the passenger in the specified seat position based on the environmental parameters, the specified seat position, and the thermal radiation data, and calculate a comfort value corresponding to the passenger in the specified seat position based on the human body thermal parameters;

[0121] configure an interactive perceived temperature option based on the comfort value, and control the air conditioner to adjust the temperature of the area where the specified seat position is located after receiving an interaction instruction.

[0122] Based on the same inventive concept, an embodiment of the present application also provides a vehicle, which includes: a memory for storing executable program code; a processor for calling and running the executable program code from the memory, so that the vehicle executes:

[0123] in response to an air conditioner turn-on signal for a specified seat position, control a sensor to obtain environmental parameters and thermal radiation data of a passenger in the specified seat position;

[0124] estimate the human body thermal parameters of the passenger in the specified seat position based on the environmental parameters, the specified seat position, and the thermal radiation data, and calculate a comfort value corresponding to the passenger in the specified seat position based on the human body thermal parameters;

[0125] configure an interactive perceived temperature option based on the comfort value, and control the air conditioner to adjust the temperature of the area where the specified seat position is located after receiving an interaction instruction.

[0126] Some embodiments of the present application provide a Figure 1 corresponding computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are set as:

[0127] in response to an air conditioner turn-on signal for a specified seat position, control a sensor to obtain environmental parameters and thermal radiation data of a passenger in the specified seat position;

[0128] Estimate the human body thermal parameters of the passenger in the specified seat based on environmental parameters, the specified seat position, and thermal radiation data, and calculate the comfort value corresponding to the passenger in the specified seat based on the human body thermal parameters;

[0129] Configure an interactive body temperature option based on the comfort value, and control the air conditioner to adjust the temperature of the area where the specified seat is located after receiving an interaction instruction.

[0130] Each embodiment in this application is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0131] The systems and media provided by the embodiments of this application correspond one-to-one with the methods. Therefore, the systems and media also have beneficial technical effects similar to those of the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be elaborated here.

[0132] Those skilled in the art should understand that the embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0133] This application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of this application. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the processes and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0134] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 specified in one block or multiple blocks.

[0135] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are performed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 specified in one block or multiple blocks.

[0136] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0137] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

[0138] Computer-readable media includes permanent and non-permanent, removable and non-removable media and can be implemented by any method or technology for information storage. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

[0139] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

[0140] The above are only examples of the present application and are not intended to limit the present application. For those skilled in the art, various modifications and changes can be made to the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A vehicle air conditioning control method, characterized in that: The method comprises: In response to an air-conditioning start signal of a designated seat, a control sensor is used to obtain environmental parameters and thermal radiation data of a passenger in the designated seat; estimating a human thermal parameter of an occupant of the designated seat based on the environmental parameter, the position of the designated seat and the thermal radiation data, and calculating a comfort value corresponding to the occupant of the designated seat based on the human thermal parameter; Based on the comfort value, an interactive body temperature option is configured, and after receiving an interactive instruction, the air conditioner is controlled to adjust the temperature of the area where the designated seat is located.

2. The vehicle air conditioning control method according to claim 1, characterized in that: The human body thermal parameters include: human body thermal environment heat exchange value, hypothalamus temperature, average skin temperature and neutral skin temperature; The estimating the human body thermal parameters of the passenger in the designated seat based on the environmental parameters, the position of the designated seat and the thermal radiation data specifically includes: Inputting the environmental parameters, the designated seat position and the thermal radiation data into a preset temperature estimation network model to determine the hypothalamus temperature, the average skin temperature and the neutral skin temperature; The heat exchange value of the human body thermal environment is calculated based on the average skin temperature and the temperature of the area where the designated seat position is located.

3. The vehicle air conditioning control method according to claim 2, characterized in that: Calculating the heat exchange value of the human body thermal environment based on the average skin temperature and the temperature of the area where the designated seat is located, specifically includes: Based on the convective thermodynamic relationship between the average skin temperature and the temperature of the area where the designated seat is located, combined with preset physical constant parameters, the apparent heat conduction quantity is obtained; wherein the apparent heat conduction quantity reflects the convective heat exchange characteristics between the human body and the environment; Based on the radiation thermodynamics correlation between the average skin temperature and the temperature of the area where the designated seat is located, the implicit thermal radiation amount is obtained; wherein the implicit thermal radiation amount reflects the radiation heat exchange characteristics between the human body and the environment; The sensible heat conduction amount and the latent heat radiation amount are integrated for composite effect to determine the heat exchange value of the human body thermal environment.

4. The vehicle air conditioning control method according to claim 3, characterized in that: Calculating the comfort value corresponding to the passenger in the designated seat based on the human body thermal parameter specifically includes: determining a first physiological difference parameter between the hypothalamus temperature and the neutral skin temperature, and a second physiological difference parameter between the mean skin temperature and the neutral skin temperature; Dynamically weighting the heat exchange value of the human body thermal environment, the first physiological difference parameter and the second physiological difference parameter by using a preset weight coefficient to generate a comprehensive thermal state index; Performing nonlinear compression processing on the comprehensive thermal state index and mapping it to a preset value range; The mapped values ​​are adaptively adjusted through the normalization coefficient to obtain the comfort value corresponding to the passenger in the designated seat.

5. The vehicle air conditioning control method according to claim 1, characterized in that: The configuring of the interactive body temperature options based on the comfort value specifically includes: Based on the comfort value, determining the temperature control curve corresponding to each preset body temperature level; The temperature control curve is associated with the somatosensory temperature option control of the corresponding interactive interface of the vehicle's central control screen.

6. The vehicle air conditioning control method according to claim 1, characterized in that: The configuring of the interactive body temperature options based on the comfort value specifically includes: Based on the comfort value, determining the temperature control curve corresponding to each preset body temperature level; Based on the temperature control curve, a dynamically editable interactive curve is constructed, and the temperature control curve is sent to the corresponding interactive interface of the vehicle's central control screen.

7. The vehicle air conditioning control method according to claim 5 or 6, characterized in that: The controlling of the air conditioner to adjust the temperature of the area where the designated seat is located specifically includes: According to the interactive instruction, a corresponding temperature control curve to be executed is determined, and an air supply system of the area where the designated seat is located is activated; Based on the temperature control curve to be executed, the air supply parameters of the air supply system are dynamically adjusted to achieve temperature control of the area where the passengers in the designated seats are located.

8. The vehicle air conditioning control method according to claim 5 or 6, characterized in that: The method further comprises: In the process of controlling the air conditioner to adjust the temperature of the area where the designated seat is located, the environmental parameters and the thermal radiation data of the passenger in the designated seat are obtained in real time to calculate the dynamic offset ΔM1 of the heat exchange value of the human body thermal environment; Based on the dynamic offset ΔM1, the temperature control curve to be executed is dynamically corrected to achieve dynamic correction of air supply parameters.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method according to any one of claims 1 to 8.

10. A vehicle, characterized in that: The vehicle comprises: A memory for storing executable program codes; A processor, configured to call and run the executable program code from the memory so that the vehicle executes the method according to any one of claims 1 to 8.

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