A vehicle air conditioning control method, electronic equipment and storage medium

Abstract

The application discloses a vehicle air conditioner control method, an electronic device and a storage medium, and relates to the technical field of vehicles. The method comprises the following steps: in response to an air conditioner starting signal of a specified seat position, a sensor is controlled to acquire environmental parameters and thermal radiation data of a passenger in the specified seat position; based on the environmental parameters, the position of the specified seat position and the thermal radiation data, a human body thermal parameter of the passenger in the specified seat position is estimated, and based on the human body thermal parameter, a comfort value corresponding to the passenger in the specified seat position is calculated; based on the comfort value, an interactive body temperature option is configured, and after an interaction instruction is received, the temperature of an area where the specified seat position is located is controlled by the air conditioner. Through the method, the real-time body feeling demand of the passenger can be accurately reflected, so that the user can realize better air conditioner comfort interaction.

Description

TECHNICAL FIELD

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

[0002] At present, low-carbon is vigorously promoted all over the world, and new energy vehicles have market share in the process of intelligent transformation of new energy vehicles due to their advantages of environmental protection and energy saving. As the core unit of the cabin environment control, the energy efficiency management and interactive experience optimization of the vehicle air conditioning system have become the key direction of technology upgrading. With the continuous improvement of users' requirements for driving comfort, the traditional temperature control mode faces double challenges in energy efficiency and personalized demand satisfaction.

[0003] The current vehicle air conditioning system generally adopts an automatic control strategy based on environmental physical parameters, which collects data through a fixed position temperature sensor and executes a preset program for adjustment. This kind of scheme has obvious limitations: the system lacks the ability to perceive the physiological state changes of the driver and passengers, and cannot effectively identify the differentiated thermal comfort needs of individuals with different seat areas and different physical characteristics. Especially in long-distance driving scenarios, human thermal comfort perception will change dynamically with the change of metabolic rate, and the existing static control strategy is difficult to achieve precise adaptation.

[0004] In the interactive design aspect, the mainstream system still uses a multi-layer menu combined with physical buttons operation interface, and the user needs to perform multiple switching operations to complete the coordinated adjustment of temperature, wind speed, wind direction and other parameters. This discrete control method not only reduces the operation efficiency, but also breaks the internal relationship between parameter setting and actual human comfort perception. Although some vehicle models introduce voice control function, the interactive dimension is single, and cannot effectively capture the user's expression needs for "slightly cool" and "slightly warm" and other fuzzy comfort states.

[0005] Therefore, how to realize the user's interaction on air conditioner comfort has become a technical problem that technicians in the field urgently need to solve. SUMMARY

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

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

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

[0009] estimate a human thermal parameter of the passenger at the specified seat position based on the environmental parameter, the specified seat position and the thermal radiation data, and calculate a comfort value corresponding to the passenger at the specified seat position based on the human thermal parameter;

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

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

[0012] Optionally, the sensor comprises: an outdoor temperature sensor, a light sensor, a rain sensor, an indoor temperature sensor of the area where the seat position is located, and an infrared temperature sensor.

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

[0014] The outdoor temperature sensor, the light sensor and the rain sensor are used to respectively collect outdoor temperature, light intensity and rainfall amount, wherein the outdoor temperature, light intensity and rainfall amount are used to predict the thermal disturbance trend of the area where the specified seat position is located.

[0015] The indoor temperature sensor of the area where the seat position is located is used to collect the temperature of the area where the specified seat position is located.

[0016] The infrared temperature sensor is used to collect the body surface thermal radiation data of the passenger at the specified seat position.

[0017] Optionally, the human thermal parameter comprises: a human thermal environment heat exchange value, a hypothalamus temperature, an average skin temperature and a neutral skin temperature.

[0018] The human thermal parameter of the passenger at the specified seat position is estimated based on the environmental parameter, the seat position and the thermal radiation data, specifically including:

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

[0020] The heat transfer 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 is located.

[0021] In this embodiment, a temperature estimation network model is used to predict hypothalamic temperature, mean skin temperature, and neutral skin temperature, enabling accurate simulation of the core temperature distribution characteristics of the human body without relying on invasive detection. By combining the calculation of heat transfer values ​​in the human body's thermal environment with the heat balance equation, the physiological thermal state of passengers is coupled with local environmental temperature, providing multi-dimensional quantitative evidence for extracting comfort values. This parameter estimation method based on a physiological thermodynamic model significantly improves the scientific rigor and reliability of human body thermal parameters.

[0022] Optionally, based on the average skin temperature and the temperature of the area where the designated seating position is located, the heat transfer value of the human body thermal environment is calculated, specifically including:

[0023] Based on the convective thermodynamic relationship between the average skin temperature and the temperature of the area where the designated seat is located, and combined with preset physical constant parameters, the apparent heat transfer is obtained; wherein, the apparent heat transfer reflects the convective heat exchange characteristics between the human body and the environment;

[0024] The latent thermal radiation is obtained based on the radiative thermodynamic relationship between the average skin temperature and the temperature of the area where the designated seat is located; wherein, the latent thermal radiation reflects the radiative heat exchange characteristics between the human body and the environment.

[0025] The apparent thermal conductivity and the latent thermal radiation are combined to determine the heat exchange value of the human body thermal environment.

[0026] This embodiment, by introducing the calculation of heat transfer values ​​for the human body thermal environment, which includes both convective and radiative heat transfer, can accurately characterize the heat exchange process between human skin temperature and ambient temperature. This process not only considers explicit heat transfer (convective term) but also quantifies the influence of implicit thermal radiation through the Stefan-Boltzmann law, making the calculated heat transfer values ​​for the human body thermal environment more consistent with actual thermodynamic laws and providing high-precision input parameters for subsequent dynamic correction of comfort values.

[0027] Optionally, based on the human body thermal parameters, the comfort value corresponding to the passenger in the specified seat position is calculated, specifically including:

[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] By using preset weighting coefficients, the heat transfer value of the human body thermal environment, the first physiological difference parameter, and the second physiological difference parameter are dynamically weighted to generate a comprehensive thermal state index.

[0030] The comprehensive thermal state index is subjected to nonlinear compression processing and mapped to a preset numerical range;

[0031] The mapped values ​​are adaptively adjusted using normalization coefficients to obtain the comfort value corresponding to the passenger in the specified seat position.

[0032] In this embodiment, by incorporating the difference coefficients between hypothalamic temperature, mean skin temperature, and neutral skin temperature into the comfort value extraction process, the synergistic effect of the body's core temperature regulation mechanism and surface thermal perception can be comprehensively reflected. By using nonlinear normalization of multiple parameters, the problem of a single parameter dominating the comfort value is avoided, while ensuring a smooth transition of the output results within a reasonable range. This weighting strategy based on physiological differences significantly improves the adaptability of the comfort value to individual differences in thermal sensitivity.

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

[0034] Based on the aforementioned comfort values, the temperature control curves corresponding to each preset perceived temperature level are determined.

[0035] The temperature control curve is associated with the body temperature option control of the corresponding interactive interface of the vehicle's central control screen.

[0036] In this embodiment, by mapping comfort values ​​to temperature control curves corresponding to preset perceived temperature levels and associating these curves with interactive interface controls, complex combinations of air conditioning parameters can be transformed into options that users can intuitively select. This design reduces the complexity of user operation and, through the scientific matching of preset curves, ensures the consistency and stability of temperature control at different levels, avoiding parameter conflicts that may occur during manual adjustment.

[0037] Optionally, you can configure interactive motion-sensing temperature options, including:

[0038] Based on the aforementioned comfort values, the temperature control curves corresponding to each preset perceived temperature level are determined.

[0039] Based on the temperature control curve, a dynamically editable interactive curve is constructed and sent to the corresponding interactive interface on the vehicle's central control screen. The user can dynamically drag the temperature interactive curve through the central control screen to adjust the air supply parameters of the air supply system according to specific needs.

[0040] In this embodiment, users can freely design temperature change curves according to their real-time sensory needs, and flexibly set the cooling intensity and transition rhythm for different time periods through drag-and-drop operations. This breaks through the limitations of traditional fixed-level adjustments and achieves a temperature control strategy that accurately matches individual differences in needs. At the same time, the graphical interactive design transforms complex multi-parameter collaborative adjustments into intuitive curve editing operations, greatly simplifying the user's operation process.

[0041] Optionally, controlling the air conditioning to regulate the temperature of the designated seating area specifically includes:

[0042] Based on the interactive instructions, the corresponding temperature control curve to be executed is determined, and the air supply system in the area where the specified seat is located is activated;

[0043] 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 passenger in the designated seat is located.

[0044] In this embodiment, by activating the air supply system in the designated seating area and dynamically adjusting the air supply parameters based on the temperature control curve, rapid response of local temperature control can be achieved. Simultaneously, by precisely matching the air supply system with the seat position, the area of ​​ineffective air supply is reduced, improving energy efficiency.

[0045] Optionally, the method further includes:

[0046] During the process of controlling the air conditioning to regulate the temperature of the area where the designated seat is located, environmental parameters and thermal radiation data of passengers in the designated seat are acquired in real time to calculate the dynamic offset ΔM1 of the human body thermal environment heat exchange value.

[0047] Based on the dynamic offset ΔM1, the temperature control curve to be executed is dynamically corrected to achieve dynamic correction of the air supply parameters.

[0048] In this embodiment, by calculating the dynamic offset ΔM1 of the heat transfer value of the human body's thermal environment in real time, and dynamically correcting the temperature control curve based on this offset, closed-loop feedback control can be performed on changes in the passenger's physical sensation. 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 problem of frequent manual adjustment 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] The memory stores instructions that can be executed by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform any of the above-described vehicle air conditioning control methods.

[0053] A vehicle, the vehicle comprising:

[0054] Memory, used to store executable program code;

[0055] A processor is configured to call and run the executable program code from the memory, causing the vehicle to perform a vehicle air conditioning control method as described 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 of the preceding claims.

[0057] The above description is merely an overview of the technical solution disclosed herein. In order to better understand the technical means of this disclosure and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this disclosure more apparent and understandable, specific embodiments of this disclosure are described below. Attached Figure Description

[0058] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this disclosure. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0059] Figure 1 A flowchart of a vehicle air conditioning control method provided in this application embodiment;

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

[0061] Figure 3 A diagram illustrating another interactive body temperature option provided for this application;

[0062] Figure 4 This is a schematic diagram of the internal structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0063] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0064] With the accelerated development of intelligent technology in new energy vehicles, the high efficiency and energy saving of in-vehicle air conditioning systems, as well as personalized comfort control, have become core technological bottlenecks for improving user experience. In existing technologies, in-vehicle air conditioning control mainly relies on environmental parameters (such as interior temperature and humidity) collected by temperature sensors at fixed locations within the vehicle, executing a global temperature control strategy through preset programs. However, this approach has significant drawbacks: First, the system lacks the ability to perceive dynamic changes in passengers' physiological thermal states and cannot distinguish individual differences among passengers in different seats (such as body type, clothing thickness, and metabolic rate); second, the environmental parameter collection dimension is singular, failing to fully consider the impact of complex disturbances in heat exchange between the inside and outside of the vehicle (such as solar radiation and sudden changes in external temperature and humidity) on the local thermal environment; third, the interactive logic is disconnected from human comfort perception, requiring users to manually adjust multiple discrete parameters (temperature, wind speed, wind direction), making it difficult to intuitively express vague sensory needs such as "slightly cool" or "warm."

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

[0066] 1. Fragmented Environmental Parameter Processing: Existing technologies do not incorporate parameters such as outside temperature, light intensity, and rainfall into air conditioning power regulation. Therefore, they do not construct a dynamic model of the heat load that coordinates these three factors. For example, in a summer downpour scenario, a drop in outside temperature may reduce the air conditioning cooling demand, but the increased humidity caused by rainfall will exacerbate the passengers' stuffiness. Traditional solutions cannot respond accurately because they ignore the parameter coupling effect. In a winter sunny scenario, when low outside temperature and direct sunlight coexist, the system may overheat the area directly exposed to sunlight due to the lack of a radiative heat compensation mechanism, leading to an imbalance in passengers' perception of temperature.

[0067] 2. Lack of Physiological Thermal State Estimation: Current technologies do not incorporate the fusion analysis of human thermal radiation data (such as body surface temperature and thermal radiation distribution) with core physiological parameters (such as hypothalamic temperature and skin heat exchange value), leading to discrepancies between air conditioning control strategies and passengers' actual thermal comfort needs. Especially during long-distance driving, the dynamic thermal adaptation process caused by changes in passengers' 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 regulation.

[0068] 3. Rigid Interaction and Control Logic: Mainstream systems rely on hierarchical menus or physical buttons to adjust parameters, requiring users to repeatedly operate to complete the coordinated settings of temperature, wind speed, and wind direction. This discrete control method severs the correlation between parameter combinations and human comfort perception, and cannot dynamically recommend suitable motion modes based on environmental disturbances (such as sudden rainstorms or cloud cover blocking sunlight).

[0069] To address the aforementioned problems, this application provides a vehicle air conditioning control method, such as... Figure 1 As shown, Figure 1 A flowchart of a vehicle air conditioning control method provided in this application embodiment is shown. This method is applicable to vehicle control systems and specifically includes the following steps:

[0070] Step 101: In response to the air conditioning start signal of the designated seat, control the sensor to acquire environmental parameters and thermal radiation data of the 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 an air conditioning activation signal for a designated seat (such as touch operation, voice command, or pressure sensor trigger), the vehicle control system will simultaneously initiate a 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 one possible implementation of this application, the sensors for collecting environmental parameters include an outside temperature sensor, a light sensor, a rain sensor, and an inside temperature sensor for the area where the seat is located. The sensor for collecting passenger thermal radiation data is an infrared temperature sensor.

[0073] In one possible implementation of this application, the control sensor acquires environmental parameters and thermal radiation data of a passenger in a designated seat, specifically including: collecting outside temperature, light intensity, and rainfall amount through an outside temperature sensor, a light sensor, and a rain sensor, respectively; it is 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; and collecting the body surface thermal radiation data of the passenger in the designated seat through an infrared temperature sensor.

[0074] For example, external temperature sensors, light sensors, and rain sensors are deployed on the vehicle body surface and window edges, respectively, to detect the impact of the external environment on the vehicle's interior heat load. For instance, if the passenger-side window detects intense direct sunlight, the system will mark that area as requiring additional cooling compensation.

[0075] For example, in-vehicle temperature sensors located around the seat area (such as the headrest, footwell, and armrest areas) can construct a temperature distribution map through multi-point measurements, avoiding the identification of localized uneven heating and cooling. Understandably, if the temperature of a passenger's feet is detected to be significantly lower than a set value, it will be determined that there is an airflow blind spot in that area.

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

[0077] For example, the seat backs and headrests incorporate infrared sensor arrays that scan the surface temperature of key areas such as the passenger's back and neck 10 times per second. For instance, if a passenger's left arm is detected to be warmer due to sunlight exposure near a window, that area will be marked as a target for targeted cooling. Thermal imaging analysis distinguishes between exposed skin and areas covered by clothing, dynamically estimating the insulation effect of the clothing. Understandably, if a passenger is wearing a thick coat, the intensity of direct cold airflow can be reduced, switching to a gentler, surrounding airflow mode, adjusting the overall vehicle air conditioning operation to achieve control over the vehicle's air conditioning based on the user's environmental comfort.

[0078] It should also be noted that, in response to an air conditioning activation signal for a designated seat, this application is not limited to controlling only a single seat at a time, but may also control all seats in the vehicle, or multiple designated locations.

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

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

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

[0082] In this embodiment, hypothalamic temperature, mean skin temperature, and neutral skin temperature are obtained by a pre-defined temperature estimation network model. This model, trained through machine learning, predicts a passenger's core physiological parameters based on seat position (e.g., near a window or in the middle of the vehicle), ambient temperature, and surface heat radiation data. For example, when a passenger is detected to be in the front passenger seat with high light intensity on the left, the model automatically correlates hypothalamic temperature changes with similar scenarios in historical data, outputting corrected M2 (hypothalamic temperature) and M3 (neutral skin temperature). It should be noted that the temperature estimation network model can be built on an adapted neural network model architecture, and this application does not impose any limitations on it.

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

[0084] In this embodiment, the heat transfer value of the human body's thermal environment is calculated based on the average skin temperature and the temperature of the area where the designated seat is located. Specifically, this includes: obtaining visible heat conductance 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; wherein, visible heat conductance reflects the convective heat exchange characteristics between the human body and the environment; obtaining implicit thermal radiation based on the radiative thermodynamic relationship between the average skin temperature and the temperature of the area where the designated seat is located; wherein, implicit thermal radiation reflects the radiative heat exchange characteristics between the human body and the environment; and integrating the visible heat conductance and implicit thermal radiation through a composite effect to determine the heat transfer value of the human body's thermal environment.

[0085] In one possible implementation of this application, the heat transfer value of the human body thermal environment can be calculated using the following formula:

[0086]

[0087] Among them, h c M is the convective heat transfer constant, M4 is the average skin temperature, and M amb Let ∈ be the temperature of the area where the passenger in the specified seat is located, ∈ be the skin emissivity constant, and σ be the Stefan-Boltzmann constant.

[0088] It is understood that the heat balance equation in this embodiment also considers convective heat dissipation (h c ·(M4-M am b)) Radiative heat dissipation Two mechanisms exist. In direct sunlight, the effect of radiative heat dissipation is significantly amplified. For example, if the passenger's body surface temperature M4 = 36°C, and the ambient temperature M... ambIf it is 32°C, the heat exchange amount contributed by the radiation term may reach more than twice that of the convection term, directly causing the M1 value to increase, and then a stronger cooling demand needs to be triggered.

[0089] In the embodiment of the present application, based on human thermal 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; through preset weight coefficients, dynamically weighting the human thermal environment heat exchange value, the first physiological difference parameter and the second physiological difference parameter 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 range; and 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[M1 + (M2 - M3) · w1 + (M4 - M3) · w2]

[0092] Where, K is the normalization coefficient, w1 is the difference coefficient between the hypothalamic temperature and the neutral skin temperature, w2 is the difference coefficient between the mean skin temperature and the neutral skin temperature, M1 is the human thermal environment heat exchange value, M2 is the hypothalamic temperature, M3 is the neutral skin temperature, and M4 is the mean skin temperature.

[0093] It should be noted that M2 - M3 is the first physiological difference parameter used to reflect the core body temperature regulation demand, M4 - M3 is the second physiological difference parameter representing the actual heat dissipation state of the body surface, and w1 and w2 are preset weight coefficients used to balance the difference between the core body temperature and the body surface perception.

[0094] This embodiment uses the hyperbolic tangent function (tanh) to compress the comprehensive thermal parameter to the [-1, 1] interval, avoiding a single parameter (such as M1 under extreme high temperature) from dominating the calculation result, and at the same time ensuring a smooth transition of the comfort value. For example, when M1 fluctuates violently, the output value will still be stable within a reasonable range, preventing the air conditioner from starting and stopping frequently.

[0095] It can be understood that the generation of the comfort value is not the ultimate goal, but 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 option of "slightly hot" and associates the regulation 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 is fully automated; users only need to select the desired sensation based on the prompts. This design hides complex parameter calculations in the background, preserving the precision of scientific control while lowering the operational threshold through intuitive interaction. For example, elderly passengers do not need to understand "hypothalamic temperature" or "thermal balance equation"; they only need to click the "slightly cooler" button, and the system will automatically match the optimal airflow parameters.

[0097] Step 103: Based on comfort values, configure interactive body temperature options, and upon receiving an interactive command, control the air conditioning to adjust the temperature of the designated seat area.

[0098] In this embodiment, the core is to convert the comfort value generated in step 102 into a user-friendly, intuitive temperature option, and trigger precise local temperature control through interactive commands. Specifically, based on the quantified comfort value, the system dynamically configures the preset settings in the interactive interface and maps the user's selection to specific airflow parameter adjustment strategies, achieving "one-click" personalized temperature control.

[0099] It should be noted that the perceived temperature option is a simplified control level generated by the system based on pre-mapping of comfort values, which aims to transform complex combinations of air conditioning parameters into instructions that are easy for users to understand. Figure 2 A formal diagram of an interactive body temperature option provided for this application, such as... Figure 2 As shown, it includes 7 settings: cold, cool, slightly cool, neutral, slightly warm, warm, and hot. After the user selects a setting and starts the air conditioner, they can feel the corresponding perceived temperature.

[0100] It should be further noted that the perceived temperature option is generated regardless of the current C value and is always available, for example... Figure 2 The system displays seven fixed temperature settings (Cold, Cool, Slightly Cool, Neutral, Slightly Warm, Warm, Hot). After a user selects a setting, the system directly calls the associated preset temperature control curve and forcibly adjusts the air conditioning operating parameters to ensure passengers experience the corresponding perceived temperature. For example, when a passenger feels warm (C=0.7), the "Cold" setting will have a lower airflow temperature than usual to achieve rapid cooling; while when a passenger feels slightly cold (C=-0.3), the "Cold" setting may only trigger a slight cooling or switch to gentle airflow.

[0101] In one possible implementation of this application, an interactive body temperature option is configured based on a comfort value, specifically including: determining the temperature control curve corresponding to each preset body temperature level based on the comfort value; and associating the temperature control curve with the body temperature option control of the corresponding interactive interface of the vehicle central control screen.

[0102] In this embodiment, the temperature control curve is a set of parameters dynamically generated based on the current comfort value C, used to define each perceived temperature level (e.g., Figure 2 The air conditioning operation strategy has seven settings: cold, cool, slightly cool, neutral, slightly warm, warm, and hot.

[0103] It is understandable that the air supply temperature, wind speed, and air supply mode for each setting are not fixed values, but relative values ​​that are adjusted in real time based on the current C value.

[0104] For example, with the air supply parameters at the default settings, in the cooling setting: air supply temperature adjustment amount: T offset = -2.0 × C (If C > 0, cooling intensity increases; if C < 0, cooling intensity decreases); Fan speed level: V = High + 0.5 × C (The larger the C value, the higher the fan speed); Air delivery angle: Prioritize direct blowing to the detected high-temperature area (such as the head or arms). It can be understood that in the above example, parameter adjustment is based on the default setting parameters, further adjusted according to the C value (default cooling setting parameters, further corrected according to the C value); The air delivery temperature adjustment is, if the air delivery temperature is A at the default cooling setting, then further adjustment according to the C value is A + T. offset Similarly, if the airflow speed is set to high at the default cold setting, further adjustments based on the C value are made. Specifically, at the high airflow speed parameter, the airflow speed is increased by 0.5 × C. In this embodiment, the temperature control curve is a sequence of parameters that changes over time. Its core is to use a gradual adjustment strategy to smoothly transition the passenger's comfort level from the current state to the comfort level corresponding to the target setting, and ultimately maintain stability. It should be noted that the curve generation in this embodiment must meet the following dynamic adaptability principles: initial parameters quickly respond to current comfort needs, and subsequent parameters gradually converge to a steady state to avoid excessive cold / heat.

[0105] In this embodiment, the air conditioning control corresponding to the curve includes three stages: a rapid response period, a transitional stabilization period, and a steady-state maintenance period. During the rapid response period (t0 to t1), the air supply parameters are quickly adjusted to bring the perceived temperature close to the target state. During the transitional stabilization period (t1 to t2), the adjustment rate is gradually reduced to avoid sudden changes in perceived temperature. During the steady-state maintenance period (t>t2), the parameters are kept stable.

[0106] In this embodiment, when generating the temperature control curve, the setting of the parameters for the rapid response period is such that the cooling / heating amplitude is proportional to |C-Ctarget|. For example, when C=0.5, the initial cooling amplitude of the "slightly cool" setting is 3℃, while when C=0.3, the cooling amplitude is 1.5℃. Regarding the setting of the transition period length, the greater the deviation of the perceived temperature from the target value, the longer the transition period (e.g., when |C-Ctarget|>0.4, t2=8min). 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 between the temperature control curves and the interactive controls on the in-vehicle central control screen is achieved through dynamic data binding and visualization design. After the system generates temperature control curves for each level based on the comfort value C, these curves are presented on the in-vehicle central control screen as interactive controls. Users can trigger corresponding air conditioning control commands by clicking or swiping, for example... Figure 2 .

[0108] In this embodiment, another visualization scheme can also be provided. Specifically, the generated curve data is encoded as a time-parameter sequence. For example, parameters such as temperature, wind speed, and airflow angle during the initial cooling, transitional recovery, and steady-state maintenance phases of the "slightly cool" setting are decomposed into discrete control points along the time axis. These control points are mapped into visualization elements by the vehicle system's graphics rendering engine, such as displaying the temperature change trend in the form of a line graph, or using a gradient of progress bar colors to reflect the airflow intensity at different stages. Figure 3 As shown, Figure 3 This application provides an alternative interactive motion-sensor temperature option. Users can select the appropriate level by clicking the corresponding curve.

[0109] It should be noted that the design of the interactive interface needs to balance intuitiveness and information density. Figure 1 In this format, each perceived temperature setting control (such as "Cold," "Cool," "Neutral," etc.) can also embed a curve preview function. When the user taps the setting icon, the interface swipes to expand a thumbnail curve graph, displaying the predicted temperature and wind speed curves for the next 10 minutes at that setting, while also marking key time points (such as "2 minutes remaining in the rapid cooling period"). The curve data is synchronized in real time with the air conditioning control module via the vehicle's Ethernet. When the user selects a setting, the system automatically parses the time-parameter sequence in the curve and converts it into CAN bus commands, which are then sent to the air supply unit at the designated seat. For example, after selecting the "Slightly Cool" setting, the system sets the air supply temperature to 22°C and the wind speed to high in the initial stage according to the curve definition. After 2 minutes, the temperature gradually rises back to 24°C and the wind speed decreases, eventually entering a steady-state maintenance mode.

[0110] In one embodiment, such as Figure 3The other form of interactive body temperature option chart shown can determine the temperature control curve corresponding to each preset body temperature level based on the comfort value, and can also construct a dynamically editable interactive curve based on the temperature control curve.

[0111] In one embodiment, the user can dynamically adjust the shape of the curve to modify the temperature control curve, and then the control system will deliver air according to the user-modified curve. In addition, the dynamically editable interactive curve can also plot the changes in time and intensity. For example, if the current C value of a passenger in a specified seat is high, the interactive interface can be used to plan to deliver air at the cold setting at 0 minutes, then at the slightly cool setting at ten minutes, and finally at the neutral setting at twenty minutes.

[0112] In one possible implementation of this application, the method further includes: during the process of controlling the air conditioner to regulate the temperature of the area where the designated seat is located, acquiring environmental parameters and thermal radiation data of the passenger in the designated seat in real time to calculate the dynamic offset ΔM1 of the human body thermal environment heat exchange value; and dynamically correcting the temperature regulation curve to be executed based on the dynamic offset ΔM1 to achieve dynamic correction of the air supply parameters.

[0113] For example, when a user first gets into a car in winter wearing a down jacket, the air conditioning is turned on with the airflow adjusted to the C-value (the temperature range for a person wearing a down jacket). After a while, the user takes off the down jacket, at which point the C-value changes drastically, and the airflow is no longer suitable for the passenger in the designated seat. Therefore, the temperature control curve to be executed can be corrected by calculating the dynamic offset ΔM1 of the human body's thermal environment heat transfer value by acquiring real-time environmental parameters and the thermal radiation data of the passenger in the designated seat.

[0114] The above are embodiments of the method proposed in this application. Based on the same inventive concept, embodiments of this application also provide an electronic device, the structure of which is as follows: Figure 4 As shown.

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

[0116] At least one processor 401;

[0117] And a memory 402 that is communicatively connected to at least one processor;

[0118] The memory 402 stores instructions executable by at least one processor, which are executed by at least one processor 401 to enable at least one processor 401 to:

[0119] In response to the air conditioning activation signal of the designated seat, the control sensor acquires environmental parameters and thermal radiation data of the passenger in the designated seat;

[0120] Based on environmental parameters, the location of a specified seat, and thermal radiation data, the human body thermal parameters of passengers in the specified seat are estimated, and based on the human body thermal parameters, the corresponding comfort value of passengers in the specified seat is calculated.

[0121] Based on comfort values, an interactive body temperature option is configured, and upon receiving an interactive command, the air conditioning is controlled to adjust the temperature of the designated seat area.

[0122] Based on the same inventive concept, this application also provides a vehicle, the vehicle comprising: a memory for storing executable program code; and a processor for calling and running the executable program code from the memory, causing the vehicle to perform:

[0123] In response to the air conditioning activation signal of the designated seat, the control sensor acquires environmental parameters and thermal radiation data of the passenger in the designated seat;

[0124] Based on environmental parameters, the location of a specified seat, and thermal radiation data, the human body thermal parameters of passengers in the specified seat are estimated, and based on the human body thermal parameters, the corresponding comfort value of passengers in the specified seat is calculated.

[0125] Based on comfort values, an interactive body temperature option is configured, and upon receiving an interactive command, the air conditioning is controlled to adjust the temperature of the designated seat area.

[0126] Some embodiments of this application provide corresponding to Figure 1 A computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0127] In response to the air conditioning activation signal of the designated seat, the control sensor acquires environmental parameters and thermal radiation data of the passenger in the designated seat;

[0128] Based on environmental parameters, the location of a specified seat, and thermal radiation data, the human body thermal parameters of passengers in the specified seat are estimated, and based on the human body thermal parameters, the corresponding comfort value of passengers in the specified seat is calculated.

[0129] Based on comfort values, an interactive body temperature option is configured, and upon receiving an interactive command, the air conditioning is controlled to adjust the temperature of the designated seat area.

[0130] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments for IoT devices and media are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0131] The systems, media, and methods provided in this application are one-to-one correspondences. Therefore, the systems and media also have similar beneficial technical effects as their 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 repeated here.

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

[0133] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0134] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0135] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes ​ The steps of the function specified in one or more boxes.

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

[0137] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0138] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, 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, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0139] It should also be noted that 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. Without further limitation, 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 said element.

[0140] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A vehicle air conditioning control method, characterized in that, The method includes: In response to the air conditioning activation signal of the designated seat, the control sensor acquires environmental parameters and thermal radiation data of the passenger in the designated seat; Based on the environmental parameters, the location of the specified seat, and the thermal radiation data, the human body thermal parameters of the passenger in the specified seat are estimated, and based on the human body thermal parameters, the comfort value corresponding to the passenger in the specified seat is calculated. Based on the aforementioned comfort values, an interactive body temperature option is configured, and upon receiving an interactive command, the air conditioning is controlled to adjust the temperature of the area where the designated seat is located. The configuration of interactive body temperature options based on the aforementioned comfort value specifically includes: Based on the comfort value, the temperature control curve corresponding to each preset perceived temperature level is determined; the temperature control curve is a parameter sequence that is dynamically generated over time based on the current comfort value, and is used to define the air conditioning operation strategy for each perceived 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.

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 transfer value, hypothalamic temperature, average skin temperature, and neutral skin temperature; The step of estimating the human thermal parameters of the passenger in the specified seat based on the environmental parameters, the location of the specified seat, and the thermal radiation data specifically includes: The environmental parameters, the specified seat position, and the thermal radiation data are input into a preset temperature estimation network model to determine the hypothalamic temperature, the average skin temperature, and the neutral skin temperature. The heat transfer 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 is located.

3. The vehicle air conditioning control method according to claim 2, characterized in that, Based on the average skin temperature and the temperature of the area where the designated seating position is located, the heat transfer value of the human body thermal environment is calculated, specifically including: Based on the convective thermodynamic relationship between the average skin temperature and the temperature of the area where the designated seat is located, and combined with preset physical constant parameters, the apparent heat conductance is obtained; wherein, the apparent heat conductance reflects the convective heat exchange characteristics between the human body and the environment. The latent thermal radiation is obtained based on the radiative thermodynamic relationship between the average skin temperature and the temperature of the area where the designated seat is located; wherein, the latent thermal radiation reflects the radiative heat exchange characteristics between the human body and the environment. The apparent thermal conductivity and the latent thermal radiation are combined 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, Based on the aforementioned human thermal parameters, the comfort value corresponding to the passenger in the specified seat position is calculated, specifically including: 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; By using preset weighting coefficients, the heat transfer value of the human body thermal environment, the first physiological difference parameter, and the second physiological difference parameter are dynamically weighted to generate a comprehensive thermal state index. The comprehensive thermal state index is subjected to nonlinear compression processing and mapped to a preset numerical range; The mapped values ​​are adaptively adjusted using normalization coefficients to obtain the comfort value corresponding to the passenger in the specified seat position.

5. The vehicle air conditioning control method according to claim 1, characterized in that, The configuration of interactive body temperature options based on the aforementioned comfort value specifically includes: Based on the aforementioned comfort values, the temperature control curves corresponding to each preset perceived temperature level are determined. The temperature control curve is associated with the body 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 5, characterized in that, The control of the air conditioning to regulate the temperature of the designated seating area specifically includes: Based on the interactive instructions, the corresponding temperature control curve to be executed is determined, and the air supply system in the area where the specified 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 passenger in the designated seat is located.

7. The vehicle air conditioning control method according to claim 5, characterized in that, The method further includes: During the process of controlling the air conditioning to regulate the temperature of the area where the designated seat is located, environmental parameters and thermal radiation data of passengers in the designated seat are acquired in real time to calculate the dynamic offset ΔM1 of the human body thermal environment heat exchange value. Based on the dynamic offset ΔM1, the temperature control curve to be executed is dynamically corrected to achieve dynamic correction of the air supply parameters.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method as described in any one of claims 1-7.

9. A vehicle, characterized in that, The vehicles include: Memory, used to store executable program code; A processor for calling and running the executable program code from the memory, causing the vehicle to perform the method as described in any one of claims 1-7.

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