Vehicle-mounted air conditioner control method and device and vehicle

Abstract

The invention provides a vehicle-mounted air conditioner control method and device and a vehicle. The method comprises the steps that the body temperature change gradient and the palm sweat secretion rate of a current vehicle driver are obtained; determining a current physiological state classification result of the driver according to the palm sweat secretion rate and the body temperature change gradient; searching a pre-distribution weight corresponding to the body temperature change gradient and the palm sweat secretion rate according to the current physiological state classification result; performing weighted summation on the body temperature change gradient and the palm sweat secretion rate through pre-distribution weight to obtain a comprehensive regulation factor; the target output power and the target output temperature of the vehicle-mounted air conditioner are determined through the comprehensive regulation and control factors; and when the current physiological state classification result meets the preset condition, the vehicle-mounted air conditioner is controlled to operate according to the target output power and the target output temperature, and therefore the air conditioner starting time is accurately matched with the actual requirement.

Description

Technical Field

[0001] This application relates to the field of air conditioning control technology, and in particular to a vehicle air conditioning control method, device and vehicle. Background Technology

[0002] Traditional vehicle air conditioning systems rely on ambient temperature sensors for adjustment, neglecting the physiological differences between individual drivers. Factors such as individual temperature sensitivity, metabolic rate, and clothing thickness all affect actual thermal comfort, but existing systems cannot capture these personalized characteristics. This results in temperature regulation that fails to meet individual needs and leads to a mismatch between the timing of air conditioning activation and actual demand. Drivers are required to actively adjust the system to alleviate discomfort, causing distraction and impacting driving safety.

[0003] Existing biosensor solutions attempt to improve the temperature control experience through indicators such as heart rate, but this type of data has a weak correlation with thermal comfort needs because heart rate changes can be caused by a variety of factors, such as stress, exercise, or road conditions. Therefore, relying solely on such signals can easily lead to misjudgments. Summary of the Invention

[0004] In view of this, this application aims to propose a vehicle air conditioning control method, device, and vehicle to solve the problem that current methods of improving the temperature control experience of vehicle air conditioning by using indicators such as heart rate are prone to misjudgment. The specific technical solution is as follows: According to a first aspect of this application, a vehicle air conditioning control method is provided, the method comprising: The steering wheel biosensor acquires the current vehicle driver's body temperature gradient and palm sweat secretion rate. Based on the rate of sweat secretion from the palms and the gradient of body temperature changes, the current physiological state classification result of the current vehicle driver is determined; Based on the current physiological state classification results, find the pre-assigned weights corresponding to the body temperature change gradient and the palm sweat secretion rate; The comprehensive regulatory factor is obtained by weighting and summing the body temperature change gradient and the palm sweat secretion rate using the pre-assigned weights. The target output power and target output temperature of the vehicle air conditioner are determined by the comprehensive control factors mentioned above. When the current physiological state classification result meets the preset conditions, the vehicle air conditioner is controlled to operate according to the target output power and the target output temperature.

[0005] Optionally, determining the current physiological state classification result of the current vehicle driver based on the rate of sweat secretion from the palms and the gradient of body temperature change includes: A body temperature-sweat synergy index is generated based on the body temperature change gradient and the palm sweat secretion rate. The current physiological state classification result of the current vehicle driver is determined based on the rate of sweat secretion from the palms and the body temperature-sweat synergy index.

[0006] Optionally, determining the current physiological state classification result of the current vehicle driver based on the palm sweat secretion rate and the body temperature-sweat co-existence index includes: If the rate of sweat secretion from the palms is greater than a first preset value and the body temperature-sweat synergy index is greater than a second preset value, then the current physiological state classification result of the current vehicle driver is determined to be an abnormal state. If the rate of sweat secretion from the palms is less than or equal to a first preset value, or if the body temperature-sweat synergy index is less than or equal to a second preset value, then the current physiological state classification result of the current vehicle driver is determined to be a normal state.

[0007] Optionally, the step of controlling the vehicle air conditioner to operate according to the target output power and the target output temperature when the current physiological state classification result meets the preset conditions includes: If the current physiological state classification result is a normal state, then it is determined that the current physiological state classification result does not meet the preset conditions; If the current physiological state classification result is an abnormal state, then the current physiological state classification result is determined to meet the preset conditions, and the vehicle air conditioner is controlled to operate according to the target output power and the target output temperature.

[0008] Optionally, determining the target output power and target output temperature of the vehicle air conditioner through the comprehensive control factor includes: If the comprehensive control factor is greater than the first protection threshold, then the target output power of the vehicle air conditioner is determined to be the full-load operating power; If the comprehensive control factor is less than the second protection threshold, the target output power of the vehicle air conditioner is determined to be the full load operating power of the preset ratio. If the comprehensive regulation factor is less than or equal to the first protection threshold, or greater than or equal to the second protection threshold, then the comprehensive regulation factor is substituted into the preset activation function to obtain the target activation function value; Substitute the target activation function value into the preset air conditioning power output function to obtain the target output power of the vehicle air conditioner; Substitute the target output power into the preset air conditioning temperature output function to obtain the target output temperature of the vehicle air conditioner.

[0009] Optionally, after controlling the vehicle air conditioner to operate according to the target output power and the target output temperature, the method further includes: According to a preset cycle, the capacitance value of the palm of the driver, the capacitance ratio of the fingertips to the palm base, the body surface temperature and the thermal equilibrium temperature are obtained, and the variance of the vehicle's steering torque fluctuation is also obtained. A thermal equilibrium time constant for the current vehicle driver is generated using the body surface temperature and thermal equilibrium temperature. The feature fusion value is obtained by weighted summing of the capacitance value of the palm's tiger's mouth area, the capacitance ratio of the fingertip to the palm root, the steering torque fluctuation variance, and the thermal equilibrium time constant. The fused feature values ​​are matched against a preset database to obtain the matching degree; The identity of the current vehicle driver is verified based on the matching degree.

[0010] Optionally, before matching the feature fusion values ​​in a preset database to obtain the matching degree, the method further includes: Collect identity feature information of several target drivers within a preset time period. The identity feature information includes at least one of the following: actual palm sweat secretion rate, actual body temperature change gradient, body temperature change rate, and number of times the vehicle air conditioner is manually adjusted. Simultaneously acquire the ambient temperature and humidity while the target driver is driving the vehicle within the preset time period; Substitute the identity feature information into a preset comfort rating function to obtain a first rating value; The identity feature information, ambient temperature and humidity are input into a preset comfort prediction model, and a second score value is output. The preset comfort prediction model is optimized by using the difference between the first rating value and the second rating value to obtain optimized parameters.

[0011] Optionally, after verifying the identity of the current vehicle driver based on the matching degree, the method further includes: If the current vehicle driver is certified as the target driver in the preset database, then the target optimization parameters corresponding to the target driver are obtained from the preset database; The preset air conditioner power output function is adjusted using the target optimization parameters. The target output power of the vehicle air conditioner is updated by adjusting the preset air conditioner power output function.

[0012] According to a second aspect of this application, a vehicle air conditioning control device is provided, the device comprising: The first acquisition module is used to acquire the current vehicle driver's body temperature change gradient and palm sweat secretion rate through the steering wheel biosensor. The first determining module is used to determine the current physiological state classification result of the current vehicle driver based on the rate of sweat secretion from the palms and the gradient of body temperature change. The search module is used to find the pre-assigned weights corresponding to the body temperature change gradient and the palm sweat secretion rate based on the current physiological state classification results. The first weighting module is used to sum the body temperature change gradient and the palm sweat secretion rate by weighting the pre-assigned weights to obtain a comprehensive regulatory factor; The second determining module is used to determine the target output power and target output temperature of the vehicle air conditioner through the comprehensive control factor; The control module is used to control the vehicle air conditioner to operate according to the target output power and the target output temperature when the current physiological state classification result meets the preset conditions.

[0013] According to another aspect of this application, a vehicle is also provided, including the aforementioned vehicle air conditioning control device.

[0014] The vehicle air conditioning control method provided in this application acquires the current driver's body temperature gradient and palm sweat secretion rate through a steering wheel biosensor. Integrating the biosensor into the steering wheel enables non-contact, uninterrupted physiological data collection without affecting driving operations. Furthermore, by collecting and monitoring these two physiological data points (body temperature and sweat), the accuracy of state recognition is greatly improved, avoiding misjudgments. It also captures the physiological differences between individual drivers, facilitating the subsequent fulfillment of personalized needs for vehicle air conditioning. Based on the palm sweat secretion rate and body temperature gradient, the current physiological state of the driver is classified. By converting continuous physiological signals into clear "state labels," a clear basis is provided for subsequent differentiated control strategies. Based on the current physiological state classification result, pre-assigned weights corresponding to the body temperature gradient and palm sweat secretion rate are determined. To determine the varying degrees of attention given to body temperature and sweat by different physiological state classifications, it is crucial to implement differentiated and refined control based on the identified current physiological state classification. A comprehensive control factor is obtained by weighted summation of the body temperature change gradient and the rate of palmar sweat secretion through pre-assigned weights. This comprehensive control factor determines the target output power and target output temperature of the vehicle's air conditioning system. Based on the driver's personalized needs, on-demand functionality can be implemented. When the current physiological state classification meets preset conditions, the vehicle's air conditioning system operates at the target output power and target output temperature. This not only meets the driver's personalized needs and improves the user experience but also achieves precise matching between the air conditioning start-up timing and actual demand, avoiding distracted operation by the driver, improving driving safety, reducing the frequency of manual air conditioning operation, enhancing the intelligence of the vehicle's air conditioning system, and preventing premature air conditioning activation, thereby reducing vehicle energy consumption.

[0015] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application 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 application more obvious and understandable, specific embodiments of this application are given below. Attached Figure Description

[0016] 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 application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 This is a flowchart of the steps of a vehicle air conditioning control method provided in this application; Figure 2 yes Figure 1The flowchart shown is a step 102 of a vehicle air conditioning control method provided in this application; Figure 3 yes Figure 1 The flowchart shown is a step 105 of a vehicle air conditioning control method provided in this application; Figure 4 This is a structural schematic diagram of a vehicle air conditioning control device provided in this application; Figure 5 This is a schematic diagram of the structure of an electronic device provided in this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this application clearer, the various embodiments of this application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details have been provided in the various embodiments of this application to facilitate a better understanding of the application. However, the technical solutions claimed in this application can be implemented even without these technical details and with various variations and modifications based on the following embodiments. The division of the various embodiments below is for ease of description and should not constitute any limitation on the specific implementation of this application. The various embodiments can be combined with and referenced by each other without contradiction.

[0018] With rapid economic development and rising living standards, automobiles have become an increasingly popular mode of transportation. To meet the growing demand for comfort, most cars are equipped with air conditioning systems, with automatic climate control being the primary development direction. Current automatic climate control technology relies on ambient temperature sensors for control, neglecting to consider individual physiological differences in passenger perception of the in-car environment. Existing biosensor solutions attempt to improve temperature control through indicators such as heart rate, but this data has weak correlation with thermal comfort needs, and the timing of air conditioning activation cannot match user needs. Delayed activation can lead to driver distraction and affect driving safety. Based on these issues, this application proposes an in-vehicle air conditioning control method. (Refer to...) Figure 1 The diagram illustrates a flowchart of a vehicle air conditioning control method provided in this application, the method including: Step 101: Obtain the current vehicle driver's body temperature change gradient and palm sweat secretion rate through the steering wheel biosensor.

[0019] This application's steering wheel biosensor includes a capacitive sweat sensor, an infrared body temperature sensor, and a collaborative detection module. The capacitive sweat sensor is integrated into the steering wheel grip area (3 or 9 o'clock position), and includes an interdigital microelectrode array with an electrode width of 0.1 mm and a spacing of 0.2 mm. To ensure the accuracy of the capacitive sweat sensor, this application employs several anti-interference measures, including: using a 1MHz high-frequency carrier wave to avoid the influence of skin contact resistance and adding a temperature compensation circuit to eliminate environmental temperature drift. A high-precision infrared body temperature sensor is arranged on the inner side of the steering wheel spokes, including a thermopile array with a 30° field of view and a resolution of 0.05℃. To ensure the accuracy of the infrared body temperature sensor, this application employs several anti-interference measures, including: setting dynamic baseline calibration (automatically returning to zero after engine shutdown) and using a metal shielding layer to isolate electromagnetic interference. This application uses the capacitive sweat sensor to collect the conductivity of the driver's palm sweat in real time and the infrared body temperature sensor to collect the driver's body surface temperature (sampling frequency ≥ 1Hz). To ensure that the collected data can be synchronized, a collaborative detection module was set up. This module ensures that the distance between the capacitive sweat sensor and the infrared body temperature sensor is ≤5mm, the sampling synchronization error is <10ms, and a hardware trigger mechanism for timestamp alignment is also set up.

[0020] After collecting the conductivity of palm sweat and body surface temperature, this application will preprocess them. The formula (1) for the preprocessing operation of palm sweat conductivity is as follows: (1) in, It is the conductivity of the sweat from the palm after filtering at time n. It is the dynamic forgetting factor, typically with a value of 0.7. It is the original conductivity of the sweat on the palm at time n. It is the conductivity of the palm sweat after filtering at time n-1, and K is the Kalman gain (which can be dynamically adjusted according to the variance of the palm sweat conductivity). It is the prediction error.

[0021] This application preprocesses body surface temperature using a Db4 wavelet 3-level decomposition method.

[0022] After preprocessing the conductivity of palm sweat and body surface temperature, this application will continue to extract features from these two data. The palm sweat secretion rate is obtained from the palm sweat conductivity, and the body temperature gradient is obtained from the body surface temperature. The formula (2) for obtaining the palm sweat secretion rate from the palm sweat conductivity is as follows: (2) in, It is the conductivity of the sweat on the palm at the nith sampling time. It is the conductivity of the sweat on the palm at the (ni-1)th sampling time. is the rate of sweat secretion from the palm, and n is the sampling time (n is a multiple of 5). Formula (2) is used to calculate the differential mean of the 5-second window.

[0023] The formula (3) for obtaining the body temperature change gradient from body surface temperature is as follows: (3) in, It is the gradient of body temperature changes. It is the body surface temperature at the nth sampling time. It is the body surface temperature at the (n-1)th sampling time. is the sampling frequency, n is the sampling time, and the unit is minutes. Formula (3) calculates the body temperature change gradient per minute. / 60 can convert the sampling frequency in Hertz to "number of times per minute".

[0024] Step 102: Determine the current physiological state classification result of the current vehicle driver based on the rate of sweat secretion in the palms and the gradient of body temperature changes.

[0025] This application will generate a body temperature-sweat synergy index based on the palmar sweat secretion rate and body temperature change gradient obtained above. The formula (4) for generating the body temperature-sweat synergy index based on the body temperature change gradient and palmar sweat secretion rate is as follows: (4) in, It is the body temperature and sweat co-index. It is the gradient of body temperature changes. It is the rate of sweat secretion in the palms. It is a small constant (standard value 0.1) to prevent division by zero errors.

[0026] This application determines the current physiological state classification of the current vehicle driver based on this synergy index and the rate of palmar sweat secretion. The specific steps include: A body temperature-sweat synergistic index is generated based on the gradient of body temperature changes and the rate of sweat secretion from the palms. The current physiological state classification result of the current vehicle driver is determined based on the rate of sweat secretion from the palms and the body temperature-sweat synergy index.

[0027] The above steps, by comprehensively considering two key physiological indicators—body temperature change gradient and sweat secretion rate—and generating a synergistic index for cross-validation, can significantly improve the accuracy and robustness of judging the driver's physiological state.

[0028] The physiological state classification results of this application include abnormal and normal states (which can be represented as NORMAL). This application determines the driver's current physiological state classification result based on the rate of palmar sweat secretion and the body temperature-sweat synergy index. Therefore, step 102, as... Figure 2 As shown, it may specifically include the following sub-steps: Sub-step 1021: If the rate of sweat secretion from the palms is greater than the first preset value and the body temperature-sweat synergy index is greater than the second preset value, then the current physiological state classification result of the current vehicle driver is determined to be an abnormal state.

[0029] Sub-step 1022: If the rate of sweat secretion from the palms is less than or equal to the first preset value, or the body temperature sweat synergy index is less than or equal to the second preset value, then the current physiological state classification result of the current vehicle driver is determined to be normal.

[0030] For example, if the first preset value is 10 and the second preset value is 0.5, then if the detected palm sweat secretion rate is 15 and the body temperature-sweat correlation index is 3, since 15 > 10 and 3 > 0.5, the current physiological state classification result of the vehicle driver is abnormal. If the detected palm sweat secretion rate is 5 and the body temperature-sweat correlation index is 1, since 5 < 10, even if 1 > 0.5, the current physiological state classification result of the vehicle driver is still normal.

[0031] The above steps, by setting clear dual threshold judgment conditions (sweat secretion rate and synergy index), achieve efficient and objective automated classification of the driver's physiological state. This not only effectively captures the typical characteristics of abnormal states (avoiding missed reports), but also reduces the risk of misjudgment through "logical OR" conditions, ensuring the real-time performance and reliability of the condition monitoring system.

[0032] It should be noted that the abnormal state in this application can include various types of abnormal states, such as heat stress (which can be represented as HEAT_STRESS) and comfort loss (which can be represented as COMFORT_LOSS). Therefore, after determining that the current physiological state is classified as an abnormal state, it is possible to further determine which type of abnormal state it belongs to. The sub-steps for this determination are as follows: Sub-step 01: If the rate of sweat secretion from the palms is greater than the first preset value and less than or equal to the third preset value, and the body temperature sweat synergy index is greater than the second preset value and less than or equal to the fourth preset value, then the current physiological state classification result of the current vehicle driver is determined to be a state of comfort loss.

[0033] Sub-step 02: If the rate of sweat secretion from the palms is greater than the third preset value and the body temperature-sweat synergy index is greater than the fourth preset value, then the current physiological state classification result of the current vehicle driver is determined to be heat stress state.

[0034] For example, suppose the first preset value is 10, the second preset value is 0.5, the third preset value is 25, and the fourth preset value is 1.5. If the detected palm sweat secretion rate is 30 and the body temperature-sweat correlation index is 3, then because 30 > 25 and 3 > 1.5, the driver's current physiological state is classified as heat stress. If the detected palm sweat secretion rate is 15 and the body temperature-sweat correlation index is 1, then because 10 < 15 < 25 and 0.5 < 1 < 1.5, the driver's current physiological state is classified as loss of comfort.

[0035] The above steps, by introducing multi-level thresholds (first to fourth preset values) to finely distinguish abnormal states, can accurately identify progressive physiological changes from mild discomfort (loss of comfort) to severe abnormality (heat stress). This not only enables multi-level, gradient early warning of the driver's health status, avoiding the limitations of a single "normal / abnormal" dichotomy, but also provides a precise basis for subsequent differentiated intervention measures (such as adjusting the air conditioning intensity or issuing different levels of alarms).

[0036] Step 103: Based on the current physiological state classification results, find the pre-assigned weights corresponding to the body temperature change gradient and the rate of sweat secretion in the palms.

[0037] This application pre-assigns different weights to the body temperature change gradient and the rate of palmar sweat secretion based on different physiological state classification results. The configuration is shown in Table 1 below: Table 1: Weight Allocation Based on Physiological State Classification Results

[0038] It should be understood that the values ​​of the above conditions and their weights can be adjusted as needed, and this application does not impose any specific restrictions on them.

[0039] Based on the weight allocation table set above, after obtaining the classification results of the current driver's current physiological state, the pre-allocated weights corresponding to the current driver's body temperature change gradient and palm sweat secretion rate can be determined by looking up the table.

[0040] Step 104: The body temperature change gradient and the rate of sweat secretion in the palms are weighted and summed by pre-assigning weights to obtain the comprehensive regulatory factor.

[0041] The formula (5) for obtaining the comprehensive regulatory factor in this application is as follows: (5) in, It is the gradient of body temperature changes. It is the rate of sweat secretion in the palms. It is the weighted distribution of the rate of sweat secretion in the palms. Z represents the weighting of the gradient of body temperature change, and Z is the comprehensive regulatory factor.

[0042] Therefore, according to the above formula (5), after obtaining the pre-allocated weights corresponding to the current driver's body temperature change gradient and the palm sweat secretion rate, the pre-allocated weights, the current driver's body temperature change gradient and the palm sweat secretion rate can be substituted into formula (5) to obtain the comprehensive control factor.

[0043] Step 105: Determine the target output power and target output temperature of the vehicle air conditioner through comprehensive control factors.

[0044] This application sets a preset activation function (Sigmoid activation function) to set the output power of the vehicle air conditioner, and uses the output power of the vehicle air conditioner to determine the output temperature of the vehicle air conditioner. The formula (6) for the preset activation function is as follows: (6) in, is the preset activation function, k is the slope factor (which can take the value 0.4), and Z is the comprehensive regulation factor.

[0045] The formula for calculating the output power of a vehicle air conditioner (7) is as follows: (7) in, It refers to the output power of the car's air conditioning system. It is a preset activation function. The output power calculated by formula (7) is in percentage, and the range of output power is 30% to 100%.

[0046] The formula for calculating the output temperature of a vehicle air conditioner (8) is as follows: (8) in, It is the output temperature of the car's air conditioning. It is the output power of the vehicle air conditioner. The output temperature calculated by formula (7) is in °C and ranges from 11 to 26 °C.

[0047] It should be understood that the values ​​in formulas (7) and (8) can be adjusted and are not fixed. According to formula (7), the output power has a range because this application uses a comprehensive control factor to set an anti-saturation mechanism. When the comprehensive control factor is detected to be an extreme value, protection will be activated to control the output power of the vehicle air conditioner. The setting conditions are as follows:

[0048] Therefore, based on the conditions set above, it can be known that step 105, as follows: Figure 3 As shown, it may specifically include the following sub-steps: Step 1051: If the comprehensive control factor is greater than the first protection threshold, then the target output power of the vehicle air conditioner is determined to be the full-load operating power.

[0049] Step 1052: If the comprehensive control factor is less than the second protection threshold, then the target output power of the vehicle air conditioner is determined to be the full load operating power of the preset ratio.

[0050] Step 1053: If the comprehensive regulation factor is less than or equal to the first protection threshold, or greater than or equal to the second protection threshold, then substitute the comprehensive regulation factor into the preset activation function to obtain the target activation function value.

[0051] Step 1054: Substitute the target activation function value into the preset air conditioning power output function to obtain the target output power of the vehicle air conditioner.

[0052] Step 1055: Substitute the target output power into the preset air conditioning temperature output function to obtain the target output temperature of the vehicle air conditioning.

[0053] The above steps achieve a rapid and powerful response to extreme situations (such as full-power cooling or proportional power limiting) by setting dual protection thresholds (first and second protection thresholds), ensuring the timeliness and reliability of safety intervention. At the same time, for non-extreme general situations, the smooth mapping relationship between the activation function and the power output function is used to achieve fine and stepless adjustment of air conditioning power and temperature, perfectly balancing the safety, accuracy and comfort of the system response, and avoiding the oscillation or insufficient response problems that may be caused by traditional on-off or linear control.

[0054] Step 106: When the current physiological state classification result meets the preset conditions, control the vehicle air conditioner to operate according to the target output power and target output temperature.

[0055] Before controlling the vehicle air conditioner to operate according to the target output power and target output temperature, this application needs to determine whether the current physiological state classification result meets the preset conditions. If the preset conditions are met, the vehicle air conditioner can be controlled to operate according to the target output power and target output temperature; if not, the air conditioner's state will not be adjusted. Therefore, step 106 may specifically include the following sub-steps: Sub-step 1061: If the current physiological state classification result is normal, then determine that the current physiological state classification result does not meet the preset conditions.

[0056] Sub-step 1062: If the current physiological state classification result is an abnormal state, then determine that the current physiological state classification result meets the preset conditions, and control the vehicle air conditioner to operate according to the target output power and the target output temperature.

[0057] The above steps ensure that the automatic control of the air conditioner is only activated when the driver is in an abnormal physiological state, and remains silent when the driver is in a normal state. This perfectly balances the necessity of active intervention with the seamless user experience, providing timely support when needed while completely avoiding any unnecessary or even offensive forced adjustments when the user is comfortable.

[0058] When the current physiological state classification result meets the preset conditions, this application controls the vehicle air conditioner to turn on and then controls the compressor / damper actuator to set the air conditioner temperature to the target output temperature and the operating power to the target output power. If the preset conditions are not met, a special value (e.g., 0xFF) will be output to indicate that the air conditioner state will not be changed, that is, the air conditioner controller will maintain the previous settings (if it is not started, it will not start; if it is started, the output power and temperature will remain unchanged).

[0059] This application, in addition to determining the target output power and target output temperature of the vehicle's air conditioning system based on body temperature and sweat, can also adjust the target output power and target output temperature based on driver identification. The steps for driver identification include: According to a preset cycle, the capacitance value of the palm of the driver, the capacitance ratio of the fingertips to the palm base, the body surface temperature and the thermal equilibrium temperature are obtained, and the variance of the vehicle's steering torque fluctuation is also obtained. The thermal equilibrium time constant for the current vehicle driver is generated using body surface temperature and thermal equilibrium temperature. The feature fusion value is obtained by weighted summing of the capacitance value of the palm's web area, the ratio of the capacitance of the fingertips to the palm heels, the variance of the steering torque fluctuation, and the thermal equilibrium time constant. The feature fusion values ​​are matched against a preset database to obtain the matching degree; The identity of the current vehicle driver is verified based on the matching degree.

[0060] The formula (9) for obtaining the capacitance value of the palm's web area mentioned in the above steps is as follows: (9) in, This refers to the capacitance value of the area between the thumb and index finger of the hand. , refers to the original capacitance value of the i-th tiger's mouth area sensor, and N refers to the number of tiger's mouth area sensors.

[0061] The formula (10) for obtaining the ratio of fingertip capacitance to palm heel capacitance is as follows: (10) in, This refers to the ratio of capacitance between the fingertips and the base of the palm. It refers to the set of sensor capacitance values ​​in the fingertip area. It is the set of sensor capacitance values ​​in the palm heel region. max(.) means taking the maximum value in the set, and min(.) means taking the minimum value in the set.

[0062] The formula (11) for obtaining the thermal equilibrium time constant is as follows: (11) in, It is the thermal equilibrium time constant. It is the body surface temperature at time t. It is the initial body surface temperature (at t=0). It is the thermal equilibrium temperature, which is usually 36.5℃, and t is the measurement time point.

[0063] The formula (12) for obtaining the variance of steering torque fluctuation is as follows: (12) in, It is the variance of steering torque fluctuation. is the steering torque value at the i-th sampling point, T is the average steering torque value, and N is the number of sampling points.

[0064] The formula for obtaining the feature fusion value (13) is as follows: (13) in, This refers to the capacitance value of the area between the thumb and index finger of the hand. This refers to the ratio of capacitance between the fingertips and the base of the palm. It is the thermal equilibrium time constant. It is the variance of steering torque fluctuation. , , and These are weights. The weight values ​​can be 0.3, 0.2, 0.2, and 0.3 respectively. These values ​​can also be optimized based on actual tests, and this application does not impose specific limitations on them.

[0065] When authenticating the current vehicle driver's identity based on matching scores, different matching strategies can be set. For example, when the matching score is >90%, it is determined that the driver identified in the preset database is the same driver as the current vehicle driver. In this case, the established database information can be called for the decision engine to make a decision. When all matching scores are <70%, it is determined that all drivers in the preset database are not the same driver as the current vehicle driver. In this case, a new user is registered, and the target output power and target output temperature are not adjusted. If the matching score is between 70% and 90%, secondary verification is required.

[0066] The above steps integrate physiological characteristics (capacitance of the thenar eminence, capacitance ratio of fingertips to palm roots, and thermal properties of the body surface) and behavioral characteristics (steering torque fluctuations) for identity authentication. This not only ensures that the biomarkers required for authentication are difficult to be statically copied or forged, but also introduces driving habits as a unique and continuous identity identifier. At the same time, by using the thermal equilibrium time constant to convert static body temperature into dynamic physiological parameters, the uniqueness and anti-spoofing ability of the system are further improved. Finally, through feature weighted fusion and database matching, efficient, covert, and high-precision continuous verification of the driver's identity is achieved.

[0067] In this application, in order to ensure the accuracy of identity authentication, an anti-interference mechanism is also set up, including: when encountering a scenario where the driver is wearing gloves, a backup behavioral feature recognition is activated, that is, the steering torque feature library is activated for identity authentication; when encountering a scenario where the driver's hands are wet, a dynamic baseline adjustment algorithm is used to perform automatic gain correction of capacitance features; when encountering a scenario where multiple people are taking turns driving, a steering wheel off-hand detection + timer switching strategy is set, that is, when the steering wheel is detected to be off-hand for more than 30 seconds, re-identification is triggered; when encountering a scenario with extreme temperature environment, thermodynamic model compensation is activated, and full-temperature range calibration is performed from -40℃ to 85℃.

[0068] As described above, this application authenticates drivers using a pre-set database, thus requiring the initial establishment of such a database. During database establishment, for each driver entering the database, a thermal comfort model is built using seven consecutive days of driving data. This automatically generates an optimal temperature curve and feature fusion values ​​for driver identification. Once the thermal comfort model is established, autonomous control mode can be entered based on this model. During model establishment, this application collects driver identity feature information, calculates a first score based on a pre-set comfort scoring function, and then calculates a second score based on the model. The model is adjusted based on the difference in scores to ensure that the model output closely approximates the driver's personalized characteristics. Different comfort prediction models are set for different drivers. The steps involved include: Collect identity feature information of several target drivers within a preset time period. The identity feature information includes at least one of the following: actual palm sweat secretion rate, actual body temperature change gradient, body temperature change rate, and number of times the vehicle air conditioner is manually adjusted. Simultaneously acquire the ambient temperature and humidity of the target driver while driving the vehicle within a preset time period; Substitute the identity feature information into the preset comfort rating function to obtain the first rating value; Input the identity information, ambient temperature and humidity into the preset comfort prediction model, and output a second score; The preset comfort prediction model is optimized by using the difference between the first and second rating values ​​to obtain optimized parameters.

[0069] The formula (14) for the comfort rating function is as follows: (14) in, This is a comfort rating function; min(.) takes the minimum value. It is the gradient of body temperature changes. It is the rate of sweat secretion in the palms. It is the rate of change of body temperature. It refers to manually adjusting the air conditioner frequency within a specified time (the specified time can be 10 minutes). =(T_current-T_baseline) / 10, unit: ℃ / min. T_current is the target driver's current real-time palm temperature value, T_baseline is the target driver's personalized baseline body temperature (default value is 36.5℃ for first use, daily update: 0.8 * previous baseline value + 0.2 * stable body temperature of the day), and 10 is the time normalization coefficient, which converts the temperature difference into changes in 10-minute increments.

[0070] The formula (15) for the comfort prediction model is as follows: (15) in, It is the predicted second score. It is the preset activation function. This is the learning rate, and N is the number of decision trees in the model. X is the predicted output of the i-th decision tree for identity feature information, where X is the identity feature information.

[0071] The above steps simultaneously collect the driver's internal physiological responses (sweat, body temperature), external interactive behaviors (number of manual adjustments), and external environmental parameters (temperature and humidity). The difference between the results of the rule-based scoring function (first score value) and the prediction of the machine learning model (second score value) is used as an optimization signal, thereby continuously calibrating and improving the accuracy, generalization ability, and personalized adaptation level of the comfort prediction model in complex real-world environments.

[0072] This application retains the identity ID of each driver in the preset database, the corresponding comfort prediction model, and information such as the optimized parameters obtained from the model, the feature fusion values ​​used for identity recognition, the base temperature, the sweat weight, the body temperature weight, and the comfort threshold.

[0073] This application also includes a forgetting mechanism in the database. If a driver is not matched and identified for 7 consecutive days, or if the driving time is less than 10 minutes / day, the driver's data in the database will be temporarily forgotten. If a driver is not matched and identified for 30 days, or if the cumulative driving time in 30 days is less than 3 hours, the driver's data in the database will be partially decayed. If a driver is not matched and identified for 90 days, or if there are no interaction records for 90 days, the driver's data in the database will be completely reset.

[0074] After this application authenticates the current vehicle driver based on the matching degree, if the current vehicle driver is authenticated as a target driver in the preset database, the corresponding reserved data of the target driver can be retrieved from the preset database. This data includes target optimization parameters, which can adjust the preset air conditioning power output function. The specific steps include: If the current vehicle driver is identified as the target driver in the preset database, then the target optimization parameters corresponding to the target driver are obtained from the preset database. The preset air conditioner power output function is adjusted by optimizing the target parameters; The target output power of the vehicle air conditioner is updated by adjusting the preset air conditioner power output function.

[0075] When adjusting the preset air conditioner power output function, the values ​​in the preset air conditioner power output function are adjusted [such as 30 and 70 in formula (7)]. When the target output power is updated, the corresponding target output temperature will also be updated.

[0076] The above steps invoke the unique target optimization parameters of the corresponding user through identity authentication, which enables the air conditioning output strategy to be precisely customized according to the driver's unique physiological response and behavioral preferences. This not only greatly improves the immediate comfort of environmental adjustment, but also reflects the ability to adapt to individual habits and improve driver satisfaction.

[0077] This application also includes a safety redundancy mechanism. When a surge in sweat (>20µs / cm² / s) and a sudden temperature rise (>1℃ / min) are detected, the air conditioning will be forcibly activated and seat ventilation will be triggered (to prevent sudden heatstroke). In addition, to avoid accidental activation of the safety redundancy mechanism, the sensor will only be activated and data collected after continuous contact (>30 seconds) to avoid interference from short-term holding.

[0078] The vehicle air conditioning control method provided in this application acquires the current driver's body temperature gradient and palm sweat secretion rate through a steering wheel biosensor. Integrating the biosensor into the steering wheel enables non-contact, uninterrupted physiological data collection without affecting driving operations. Furthermore, by collecting and monitoring these two physiological data points (body temperature and sweat), the accuracy of state recognition is greatly improved, avoiding misjudgments. It also captures the physiological differences between individual drivers, facilitating the subsequent fulfillment of personalized needs for vehicle air conditioning. Based on the palm sweat secretion rate and body temperature gradient, the current physiological state of the driver is classified. Continuous physiological signals can be converted into clear "state labels," providing a clear basis for subsequent differentiated control strategies. Based on the current physiological state classification result, pre-assigned weights corresponding to the body temperature gradient and palm sweat secretion rate can be found. To determine the varying degrees of attention given to body temperature and sweat by different physiological state classifications, it is crucial to implement differentiated and refined control based on the identified current physiological state classification. A comprehensive control factor is obtained by weighted summation of the body temperature change gradient and the rate of palmar sweat secretion through pre-assigned weights. This comprehensive control factor determines the target output power and target output temperature of the vehicle's air conditioning system. Based on the driver's personalized needs, on-demand functionality can be implemented. When the current physiological state classification meets preset conditions, the vehicle's air conditioning system operates at the target output power and target output temperature. This not only meets the driver's personalized needs and improves the user experience but also achieves precise matching between the air conditioning start-up timing and actual demand, avoiding distracted operation by the driver, improving driving safety, reducing the frequency of manual air conditioning operation, enhancing the intelligence of the vehicle's air conditioning system, and preventing premature air conditioning activation, thereby reducing vehicle energy consumption.

[0079] Reference Figure 4 The diagram shows a structural schematic of a vehicle air conditioning control device provided in this application, the device comprising: The first acquisition module 201 is used to acquire the current vehicle driver's body temperature change gradient and palm sweat secretion rate through the steering wheel biosensor.

[0080] The first determining module 202 is used to determine the current physiological state classification result of the current vehicle driver based on the rate of sweat secretion in the palms and the gradient of body temperature changes.

[0081] The lookup module 203 is used to find the pre-assigned weights corresponding to the body temperature change gradient and the rate of sweat secretion in the palms based on the current physiological state classification results.

[0082] The first weighting module 204 is used to perform a weighted summation of the body temperature change gradient and the rate of palm sweat secretion by pre-assigning weights to obtain a comprehensive regulatory factor.

[0083] The second determining module 205 is used to determine the target output power and target output temperature of the vehicle air conditioner through comprehensive control factors.

[0084] The control module 206 is used to control the vehicle air conditioner to operate according to the target output power and target output temperature when the current physiological state classification result meets the preset conditions.

[0085] Optionally, the first determining module 202 includes: The index generation submodule is used to generate a body temperature-sweat synergistic index based on the body temperature change gradient and the rate of sweat secretion from the palms. The classification result determination submodule is used to determine the current physiological state classification result of the current vehicle driver based on the rate of sweat secretion from the palms and the body temperature-sweat synergy index.

[0086] Optionally, the classification result determination submodule includes: The first determining unit is used to determine the current physiological state classification result of the current vehicle driver as an abnormal state if the rate of sweat secretion from the palm is greater than a first preset value and the body temperature-sweat synergy index is greater than a second preset value.

[0087] The second determining unit is used to determine the current physiological state classification result of the current vehicle driver as normal if the rate of sweat secretion from the palm is less than or equal to a first preset value, or if the body temperature sweat synergy index is less than or equal to a second preset value.

[0088] Optionally, the control module 206 includes: The first determination submodule is used to determine that the current physiological state classification result does not meet the preset conditions if the current physiological state classification result is a normal state.

[0089] The second determination submodule is used to determine if the current physiological state classification result meets the preset conditions if the current physiological state classification result is an abnormal state, and to control the vehicle air conditioner to operate according to the target output power and target output temperature.

[0090] Optionally, the second determining module 205 includes: The first determining submodule is used to determine the target output power of the vehicle air conditioner as the full-load operating power if the comprehensive control factor is greater than the first protection threshold.

[0091] The second determining submodule is used to determine the target output power of the vehicle air conditioner as a preset proportion of the full-load operating power if the comprehensive control factor is less than the second protection threshold.

[0092] The first data substitution submodule is used to substitute the comprehensive regulation factor into a preset activation function to obtain the target activation function value if the comprehensive regulation factor is less than or equal to the first protection threshold, or greater than or equal to the second protection threshold.

[0093] The second data substitution submodule is used to substitute the target activation function value into the preset air conditioning power output function to obtain the target output power of the vehicle air conditioner.

[0094] The third data input submodule is used to input the target output power into the preset air conditioning temperature output function to obtain the target output temperature of the vehicle air conditioner.

[0095] Optionally, the vehicle air conditioning control device also includes: The second acquisition module is used to acquire the capacitance value of the palm of the driver's hand, the ratio of the capacitance of the fingertips to the palm base, the body surface temperature and the thermal equilibrium temperature according to a preset cycle, and at the same time acquire the variance of the vehicle's steering torque fluctuation.

[0096] The generation module is used to generate the thermal equilibrium time constant for the current vehicle driver based on body surface temperature and thermal equilibrium temperature.

[0097] The second weighting module is used to weight and sum the capacitance values ​​of the palm's web area, the ratio of fingertip to palm root capacitance, the variance of steering torque fluctuation, and the thermal equilibrium time constant to obtain the feature fusion value.

[0098] The matching module is used to match the feature fusion values ​​with a preset database to obtain the matching degree.

[0099] The identity authentication module is used to authenticate the identity of the current vehicle driver based on the matching degree.

[0100] The data acquisition module is used to collect the identity feature information of several target drivers within a preset time period. The identity feature information includes at least one of the following: actual palm sweat secretion rate, actual body temperature change gradient, body temperature change rate, and number of times the vehicle air conditioner is manually adjusted.

[0101] The third acquisition module is used to synchronously acquire the ambient temperature and humidity of the target driver while driving the vehicle within a preset time period.

[0102] The information input module is used to input identity feature information into a preset comfort rating function to obtain a first rating value.

[0103] The data input module is used to input identity information, ambient temperature and humidity into a preset comfort prediction model and output a second score value.

[0104] The optimization module is used to optimize the preset comfort prediction model by using the difference between the first rating value and the second rating value to obtain the optimization parameters.

[0105] The fourth acquisition module is used to obtain the target optimization parameters corresponding to the target driver from the preset database if the current vehicle driver is certified as the target driver in the preset database.

[0106] The adjustment module is used to adjust the preset air conditioner power output function based on the target optimization parameters.

[0107] The update module is used to update the target output power of the vehicle air conditioner by adjusting the preset air conditioner power output function.

[0108] The vehicle air conditioning control device provided in this application acquires the current driver's body temperature change gradient and palm sweat secretion rate through a steering wheel biosensor. Integrating the biosensor into the steering wheel enables non-contact, uninterrupted physiological data collection without affecting driving operations. Furthermore, by collecting and monitoring these two physiological data points (body temperature and sweat), the accuracy of state recognition is greatly improved, avoiding misjudgments. It also captures the physiological differences between individual drivers, facilitating the subsequent fulfillment of personalized needs for vehicle air conditioning. Based on the palm sweat secretion rate and body temperature change gradient, the current physiological state of the driver is classified. Continuous physiological signals can be converted into clear "state labels," providing a clear basis for subsequent differentiated control strategies. Through the current physiological state classification result, the pre-assigned weights corresponding to the body temperature change gradient and palm sweat secretion rate can be found. To determine the varying degrees of attention given to body temperature and sweat by different physiological state classifications, it is crucial to implement differentiated and refined control based on the identified current physiological state classification. A comprehensive control factor is obtained by weighted summation of the body temperature change gradient and the rate of palmar sweat secretion through pre-assigned weights. This comprehensive control factor determines the target output power and target output temperature of the vehicle's air conditioning system. Based on the driver's personalized needs, on-demand functionality can be implemented. When the current physiological state classification meets preset conditions, the vehicle's air conditioning system operates at the target output power and target output temperature. This not only meets the driver's personalized needs and improves the user experience but also achieves precise matching between the air conditioning start-up timing and actual demand, avoiding distracted operation by the driver, improving driving safety, reducing the frequency of manual air conditioning operation, enhancing the intelligence of the vehicle's air conditioning system, and preventing premature air conditioning activation, thereby reducing vehicle energy consumption.

[0109] Reference Figure 5This application also provides an electronic device, such as Figure 5 As shown, it includes a processor 301, a communication interface 302, a memory 303, and a communication bus 304, wherein the processor 301, the communication interface 302, and the memory 303 communicate with each other through the communication bus 304. Processor 301, memory 303 for storing processor-executable instructions; The processor 301 is configured to execute the instructions to implement the vehicle air conditioning control method described above: The steering wheel biosensor acquires the current vehicle driver's body temperature gradient and palm sweat secretion rate. Based on the rate of sweat secretion from the palms and the gradient of body temperature changes, the current physiological state classification result of the current vehicle driver is determined; Based on the current physiological state classification results, find the pre-assigned weights corresponding to the body temperature change gradient and the palm sweat secretion rate; The comprehensive regulatory factor is obtained by weighting and summing the body temperature change gradient and the palm sweat secretion rate using the pre-assigned weights. The target output power and target output temperature of the vehicle air conditioner are determined by the comprehensive control factors mentioned above. When the current physiological state classification result meets the preset conditions, the vehicle air conditioner is controlled to operate according to the target output power and the target output temperature.

[0110] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0111] The communication interface is used for communication between the aforementioned terminal and other devices.

[0112] The memory may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0113] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0114] In another embodiment provided in this application, a vehicle is also provided, which may specifically include the above-mentioned vehicle air conditioning control device.

[0115] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0116] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, 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 limitations, 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.

[0117] The various embodiments in this specification are described in a related 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 system embodiments 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.

[0118] The above description is merely a preferred embodiment of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application are included within the scope of protection of this application.

Claims

1. A method for controlling a vehicle air conditioner, characterized in that, The method includes: The steering wheel biosensor acquires the current vehicle driver's body temperature gradient and palm sweat secretion rate. Based on the rate of sweat secretion from the palms and the gradient of body temperature changes, the current physiological state classification result of the current vehicle driver is determined; Based on the current physiological state classification results, find the pre-assigned weights corresponding to the body temperature change gradient and the palm sweat secretion rate; The comprehensive regulatory factor is obtained by weighting and summing the body temperature change gradient and the palm sweat secretion rate using the pre-assigned weights. The target output power and target output temperature of the vehicle air conditioner are determined by the comprehensive control factors mentioned above. When the current physiological state classification result meets the preset conditions, the vehicle air conditioner is controlled to operate according to the target output power and the target output temperature.

2. The method according to claim 1, characterized in that, The step of determining the current physiological state classification result of the current vehicle driver based on the rate of sweat secretion from the palms and the gradient of body temperature change includes: A body temperature-sweat synergy index is generated based on the body temperature change gradient and the palm sweat secretion rate. The current physiological state classification result of the current vehicle driver is determined based on the rate of sweat secretion from the palms and the body temperature-sweat synergy index.

3. The method according to claim 2, characterized in that, The step of determining the current physiological state classification result of the current vehicle driver based on the palm sweat secretion rate and the body temperature-sweat co-existence index includes: If the rate of sweat secretion from the palms is greater than a first preset value and the body temperature-sweat synergy index is greater than a second preset value, then the current physiological state classification result of the current vehicle driver is determined to be an abnormal state. If the rate of sweat secretion from the palms is less than or equal to a first preset value, or if the body temperature-sweat synergy index is less than or equal to a second preset value, then the current physiological state classification result of the current vehicle driver is determined to be a normal state.

4. The method according to claim 3, characterized in that, The step of controlling the vehicle air conditioner to operate according to the target output power and the target output temperature when the current physiological state classification result meets the preset conditions includes: If the current physiological state classification result is a normal state, then it is determined that the current physiological state classification result does not meet the preset conditions; If the current physiological state classification result is an abnormal state, then the current physiological state classification result is determined to meet the preset conditions, and the vehicle air conditioner is controlled to operate according to the target output power and the target output temperature.

5. The method according to claim 1, characterized in that, The determination of the target output power and target output temperature of the vehicle air conditioner through the comprehensive control factor includes: If the comprehensive control factor is greater than the first protection threshold, then the target output power of the vehicle air conditioner is determined to be the full-load operating power; If the comprehensive control factor is less than the second protection threshold, the target output power of the vehicle air conditioner is determined to be the full load operating power of the preset ratio. If the comprehensive regulation factor is less than or equal to the first protection threshold, or greater than or equal to the second protection threshold, then the comprehensive regulation factor is substituted into the preset activation function to obtain the target activation function value; Substitute the target activation function value into the preset air conditioning power output function to obtain the target output power of the vehicle air conditioner; Substitute the target output power into the preset air conditioning temperature output function to obtain the target output temperature of the vehicle air conditioner.

6. The method according to claim 1, characterized in that, After controlling the vehicle air conditioner to operate according to the target output power and the target output temperature, the method further includes: The system acquires the capacitance value of the driver's palm at the base of the thumb, the capacitance ratio of the fingertips to the base of the palm, the body surface temperature, and the thermal equilibrium temperature at a preset cycle, while also acquiring the variance of the vehicle's steering torque fluctuation. A thermal equilibrium time constant for the current vehicle driver is generated using the body surface temperature and thermal equilibrium temperature. The feature fusion value is obtained by weighted summing of the capacitance value of the palm's web area, the capacitance ratio of the fingertip to the palm root, the steering torque fluctuation variance, and the thermal equilibrium time constant. The fused feature values ​​are matched against a preset database to obtain the matching degree; The identity of the current vehicle driver is verified based on the matching degree.

7. The method according to claim 6, characterized in that, Before matching the fused feature values ​​against a preset database to obtain the matching degree, the method further includes: Collect identity feature information of several target drivers within a preset time period. The identity feature information includes at least one of the following: actual palm sweat secretion rate, actual body temperature change gradient, body temperature change rate, and number of times the vehicle air conditioner is manually adjusted. Simultaneously acquire the ambient temperature and humidity while the target driver is driving the vehicle within the preset time period; Substitute the identity feature information into a preset comfort rating function to obtain a first rating value; The identity feature information, ambient temperature and humidity are input into a preset comfort prediction model, and a second score value is output. The preset comfort prediction model is optimized by using the difference between the first rating value and the second rating value to obtain optimized parameters.

8. The method according to claim 7, characterized in that, After verifying the identity of the current vehicle driver based on the matching degree, the process further includes: If the current vehicle driver is certified as the target driver in the preset database, then the target optimization parameters corresponding to the target driver are obtained from the preset database; The preset air conditioner power output function is adjusted using the target optimization parameters; The target output power of the vehicle air conditioner is updated by adjusting the preset air conditioner power output function.

9. A vehicle air conditioning control device, characterized in that, The device includes: The first acquisition module is used to acquire the current vehicle driver's body temperature change gradient and palm sweat secretion rate through the steering wheel biosensor. The first determining module is used to determine the current physiological state classification result of the current vehicle driver based on the rate of sweat secretion from the palms and the gradient of body temperature change. The search module is used to find the pre-assigned weights corresponding to the body temperature change gradient and the palm sweat secretion rate based on the current physiological state classification results. The first weighting module is used to sum the body temperature change gradient and the palm sweat secretion rate by weighting the pre-assigned weights to obtain a comprehensive regulatory factor; The second determining module is used to determine the target output power and target output temperature of the vehicle air conditioner through the comprehensive control factor; The control module is used to control the vehicle air conditioner to operate according to the target output power and the target output temperature when the current physiological state classification result meets the preset conditions.

10. A vehicle, characterized in that, include: The vehicle air conditioning control device as described in claim 9.

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