Vehicle air conditioner calibration method and system based on air conditioner dummy in complex environment

Abstract

The invention discloses a vehicle air conditioner calibration method and method based on an air conditioner dummy in a complex environment, and the method comprises the steps: obtaining multi-source environment information in a vehicle through a plurality of sensors and a vehicle ECU which are disposed in the vehicle, and carrying out the collaborative fusion of the multi-source environment information, determining a target environment scene where the vehicle is located according to the fused multi-source environment information; the air conditioner dummy is placed in the vehicle, the environmental response of the air conditioner dummy is made to be consistent with the thermal state in the vehicle, a corresponding air conditioner calibration mode is loaded for the air conditioner dummy according to the target environment scene, and therefore air conditioner control parameters corresponding to the target environment scene are formed; somatosensory deviation of all parts of the air conditioner dummy is monitored in real time, if the somatosensory deviation of a certain part is larger than a preset threshold value, corresponding air conditioner control parameters are adjusted, air conditioner output is corrected again through the adjusted control parameters, and therefore dynamic closed-loop calibration of air conditioner dummy feedback driving is formed.

Description

Technical Field

[0001] This invention belongs to the field of automotive air conditioning calibration technology, and more specifically, relates to a vehicle air conditioning calibration method and system based on an air conditioning dummy in complex environments. Background Technology

[0002] The performance of vehicle air conditioning systems typically requires calibration to ensure stable temperature control under various environmental conditions. Current vehicle air conditioning calibrations are mostly based on testing in plains areas or within a wide temperature range in an environmental chamber, failing to cover the complex environmental factors present at high altitudes, such as low air pressure, strong radiation, large temperature differences, and high humidity condensation. In such high-altitude environments, the cooling capacity, dehumidification capacity, and heat exchange efficiency of the vehicle air conditioning system may all change significantly, thus affecting the temperature control stability and system reliability during subsequent use.

[0003] In existing technologies, multiple temperature or wind sensors are often placed inside the vehicle to replace human body parts, collecting in-vehicle environmental data for air conditioning calibration. However, this method cannot accurately reflect the combined sensory characteristics of the human body to temperature, radiation, and airflow, and significant differences in human thermophysiology among different users lead to discrepancies between calibration results and actual user experience. Furthermore, when conducting manual testing in high-altitude environments, testers may find it difficult to withstand the combined effects of low pressure, strong radiation, or low temperatures for extended periods, thus limiting the integrity and reliability of the test data.

[0004] In air conditioning calibration studies for high-altitude environments, some techniques only consider single high-altitude conditions (such as normal temperature or dry environment at high altitudes) without fully considering the coupling effect of high altitude with temperature and humidity, such as complex conditions like low temperature, high heat, and high humidity / cold at high altitudes. In such complex environments, the air conditioning system's response to radiant heat, air humidity, and condensation / frost all change. Existing calibration methods are prone to problems such as decreased temperature control efficiency, reduced cooling performance, and duct frosting in these scenarios.

[0005] In addition, vehicle air conditioning systems often integrate additional modules such as radiant heat insulation devices, anti-frost heating elements, and compressor low-pressure compensation to improve their performance in high-altitude environments. However, traditional air conditioning calibration methods typically do not coordinate the calibration of these additional modules with core components such as compressors, fans, or heat exchangers. This leads to mismatches in system response strategies under complex scenarios, such as over-reliance on refrigerant cooling in strong radiation environments or failure to trigger anti-frost modules in a timely manner in high-humidity and cold environments.

[0006] Therefore, there is an urgent need for a technical solution that can intelligently calibrate the vehicle's air conditioning system to ensure that the air conditioning can meet the performance requirements of complex high-altitude environments and further improve and optimize the vehicle's range in high-altitude environments. Summary of the Invention

[0007] To address the above technical problems, this invention proposes a vehicle air conditioning calibration method based on an air conditioning dummy in complex environments, comprising: Step 101: Obtain multi-source environmental information inside the vehicle through multiple sensors and the vehicle ECU, integrate the multi-source environmental information, and determine the target environmental scene where the vehicle is located based on the integrated multi-source environmental information. Step 102: Place the air conditioning dummy inside the vehicle to make the environmental response of the air conditioning dummy consistent with the thermal state inside the vehicle, and load the corresponding air conditioning calibration method for the air conditioning dummy according to the target environmental scenario, thereby forming the air conditioning control parameters corresponding to the target environmental scenario. Step 103: Monitor the perceptual deviation of each part of the air conditioning dummy in real time. If the perceptual deviation of a certain part is greater than the preset threshold, adjust the corresponding control parameters of the air conditioner and correct the air conditioner output through the adjusted control parameters, thereby forming a dynamic closed-loop calibration driven by the air conditioning dummy feedback.

[0008] Further, in step 104, repeat steps 102 and 103 until the number of iterations is reached, the perceptual deviation of all parts of the air conditioning dummy is less than or equal to the preset threshold, and there is no system failure of the air conditioning, then solidify the control parameters of the air conditioning under the corresponding target environment scenario into the vehicle ECU to complete the stability verification of the calibration effect.

[0009] Furthermore, the target environmental scenarios include: high-altitude low-temperature exposure static scenarios, high-altitude high-heat static scenarios, and high-altitude high-cold and high-humidity static scenarios.

[0010] Furthermore, if the ambient temperature obtained by multiple sensors in the vehicle and the vehicle ECU is lower than the first ambient temperature threshold, the altitude is greater than or equal to the altitude threshold, and the average solar radiation value within a certain period is greater than or equal to the first radiation value threshold, then the target environment scenario is a high-altitude, low-temperature, sun-exposed static scenario. The air conditioner calibration method corresponding to static scenarios of high altitude, low temperature and exposure to sunlight is as follows: The front air conditioning vents in the car are only turned on in blowing mode, and the low-temperature air from outside the car is directly delivered to the upper part of the car interior through external circulation until the temperature difference between the head and feet of the air conditioning dummy and the temperature difference between the chest and feet are both less than or equal to the temperature difference threshold, or the temperature difference between any one of the head, chest and feet is less than or equal to the temperature difference threshold.

[0011] Furthermore, if the ambient temperature obtained by multiple sensors and the vehicle ECU is greater than the second ambient temperature threshold, and the average solar radiation value within a certain period is greater than or equal to the second radiation value threshold, then the target environment scenario is a high-altitude, high-heat static scenario. The air conditioning calibration method corresponding to high-altitude, high-heat static scenarios is as follows: When the equivalent temperature of the space of the air-conditioned dummy is greater than or equal to the third ambient temperature threshold, and the local radiant heat of the air-conditioned dummy is greater than or equal to the third radiation value threshold, the air conditioner is set to maximum cooling, external circulation, and the sunshade is closed. Based on the real-time equivalent temperature of the air-conditioned dummy, the air conditioner compressor power is set to... =90% * rated power, fan speed =1.3, the opening degree of the front and rear air vents in the car is 80%; When the equivalent temperature of the space above the dummy's head drops to the positive / negative first temperature deviation threshold of the air conditioner's set target value, the air conditioner compressor power is set to... =70% * rated power, fan speed =1.1, and ensure that the temperature deviation between each part of the air-conditioned dummy and the ambient temperature is less than or equal to the second temperature deviation threshold and the compressor exhaust temperature is less than or equal to the third temperature deviation threshold within a certain period of time.

[0012] Furthermore, if the ambient temperature obtained by multiple sensors and the vehicle ECU is less than or equal to -10℃, the relative humidity is greater than or equal to 70%, and the altitude is greater than or equal to 2000m, then it is determined to be a high-altitude, cold, and humid static scene. The air conditioning calibration method corresponding to static scenarios with high altitude, high cold, and high humidity is as follows: When the local radiant heat of the air-conditioned dummy is less than or equal to 5°C and the relative humidity is greater than or equal to 85%, the air conditioning setting should be adjusted to maximum heating + internal circulation + windshield defroster + seat / steering wheel heating. Set the vehicle's air conditioning compressor power to =90% * rated power, fan speed =1.4, front windshield defroster duct opening 100%, front and rear air vents opening 90%; simultaneously turn on seat and steering wheel heating to high level; When the temperature of the dummy's head rises to 18±3℃ and the relative humidity drops to less than or equal to 60%, the vehicle's air conditioning compressor power is set to [value missing]. =75% * rated power, fan speed =1.2; Switch the seat / steering wheel heating to the medium setting.

[0013] This invention also proposes a vehicle air conditioning calibration system based on an air conditioning dummy in complex environments, comprising: The scene segmentation module is used to acquire multi-source environmental information inside the vehicle through multiple sensors and the vehicle ECU, to collaboratively fuse the multi-source environmental information, and to determine the target environmental scene in which the vehicle is located based on the fused multi-source environmental information. The air conditioning calibration module is used to place an air conditioning dummy inside the vehicle so that the environmental response of the air conditioning dummy is consistent with the thermal state inside the vehicle. It also loads the corresponding air conditioning calibration method onto the air conditioning dummy according to the target environmental scenario, thereby forming the control parameters of the air conditioning corresponding to the target environmental scenario. The adjustment module is used to monitor the perceptual deviation of various parts of the air conditioning dummy in real time. If the perceptual deviation of a certain part is greater than a preset threshold, the corresponding control parameters of the air conditioning are adjusted, and the air conditioning output is corrected again through the adjusted control parameters, thereby forming a dynamic closed-loop calibration driven by the air conditioning dummy feedback.

[0014] Further, in step 104, repeat steps 102 and 103 until the number of iterations is reached, the perceptual deviation of all parts of the air conditioning dummy is less than or equal to the preset threshold, and there is no system failure of the air conditioning, then solidify the control parameters of the air conditioning under the corresponding target environment scenario into the vehicle ECU to complete the stability verification of the calibration effect.

[0015] Furthermore, the target environmental scenarios include: high-altitude low-temperature exposure static scenarios, high-altitude high-heat static scenarios, and high-altitude high-cold and high-humidity static scenarios.

[0016] Furthermore, if the ambient temperature obtained by multiple sensors in the vehicle and the vehicle ECU is lower than the first ambient temperature threshold, the altitude is greater than or equal to the altitude threshold, and the average solar radiation value within a certain period is greater than or equal to the first radiation value threshold, then the target environment scenario is a high-altitude, low-temperature, sun-exposed static scenario. The air conditioner calibration method corresponding to static scenarios of high altitude, low temperature and exposure to sunlight is as follows: The front air conditioning vents in the car are only turned on in blowing mode, and the low-temperature air from outside the car is directly delivered to the upper part of the car interior through external circulation until the temperature difference between the head and feet of the air conditioning dummy and the temperature difference between the chest and feet are both less than or equal to the temperature difference threshold, or the temperature difference between any one of the head, chest and feet is less than or equal to the temperature difference threshold.

[0017] In summary, the technical solutions conceived by this invention have the following beneficial effects compared with the prior art: This invention solves the problems of adaptability differences between traditional sensors and human-based air conditioning calibration, as well as human tolerance in complex environments. The multi-scenario, multi-condition air conditioning calibration method can optimize the performance problems of traditional air conditioning calibration, namely the performance degradation and inaccurate temperature control in complex environments, and improve the performance stability of air conditioning in complex environments such as high altitude. The air conditioning optimized by the calibration method of this invention can not only meet the performance requirements in complex environments at high altitudes, but also further improve the driving range of the vehicle in high-altitude environments. Attached Figure Description

[0018] Figure 1 This is a flowchart of the method in Embodiment 1 of the present invention; Figure 2 This is a system structure diagram of Embodiment 2 of the present invention; Figure 3 This is a schematic diagram of the EHT deviation of various parts of the air-conditioned dummy under a static scene of high altitude, low temperature and sun exposure in Embodiment 1 of the present invention; Figure 4 This is a schematic diagram illustrating the adjustment trend of air pressure P and proportional coefficient Kp in Embodiment 1 of the present invention; Figure 5 This is a schematic diagram of sunlight radiation collected by the air-conditioned dummy in Embodiment 1 of the present invention. Detailed Implementation

[0019] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0020] The method provided by this invention can be implemented in a terminal environment that may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the following embodiments.

[0021] A processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts of the terminal, and performs various functions and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and by calling data stored in the storage medium.

[0022] Storage media can include random access memory (RAM) or read-only memory (ROM). Storage media can be used to store instructions, programs, code, code sets, or instructions.

[0023] The display screen is used to show the user interface of each application.

[0024] In addition, those skilled in the art will understand that the above-described structure of the terminal does not constitute a limitation on the terminal. The terminal may include more or fewer components, or combine certain components, or have different component arrangements. For example, the terminal may also include radio frequency circuits, input units, sensors, audio circuits, power supplies, and other components, which will not be described in detail here.

[0025] Example 1 like Figure 1 As shown in the figure, this embodiment proposes a vehicle air conditioning calibration method based on an air conditioning dummy in complex environments, including: Step 101: Obtain multi-source environmental information inside the vehicle through multiple sensors and the vehicle ECU, integrate the multi-source environmental information, and determine the target environmental scene where the vehicle is located based on the integrated multi-source environmental information. Preferably, pre-set sensors are deployed inside the vehicle to collect in-vehicle environmental information, which is then compared and coordinated with in-vehicle environmental information collected by the vehicle's own sensors (environmental information transmitted to the vehicle ECU via CAN signal) to determine the complex environmental scenario (i.e., the target environmental scenario) in which the vehicle is located. Pre-set sensors are deployed in various parts of the vehicle to collect high-altitude basic parameters and basic environmental parameters in real time. The high-altitude basic parameters include: altitude H and absolute pressure P; the basic environmental parameters include: temperature T, solar radiation intensity R, wind speed V, and humidity RH. The pre-set sensors for collecting high-altitude basic parameters can be: high-precision GPS modules for collecting altitude, with an altitude measurement range of -100 to 8000m, and equipped with barometric pressure correction algorithms, a wide temperature range, and an absolute pressure sensor covering the 2000-6000m high-altitude air pressure range; the pre-set sensors for collecting basic environmental parameters can be: wide-temperature range temperature sensors, with a measurement range of -50℃ to 8℃. A 5℃ sensor, capable of covering extreme temperatures from -20℃ to 42℃ at high altitudes, is positioned in the ventilation area below the front bumper of the vehicle, with a sampling accuracy of ±0.5℃. A full-spectrum solar radiation sensor, with a spectral response range of 280~2500nm, can cover the entire spectrum of solar radiation, avoiding errors caused by measuring only visible light. It is positioned in the unobstructed area at the front of the roof and the unobstructed area at the top of the side windows, consistent with the direction of solar radiation, with a sampling accuracy of ±10W / ㎡. An anti-condensation humidity sensor, with a measurement range of 0~100%RH, covers the humidity range of high-altitude and high-humidity scenarios, and is positioned adjacent to the ambient temperature sensor in the ventilation area below the front bumper, with a sampling accuracy of ±2%RH.

[0026] Specifically, the target environmental scenarios include: high-altitude low-temperature exposure static scenarios, high-altitude high-heat static scenarios, and high-altitude cold and high-humidity static scenarios.

[0027] Step 102: Place the air conditioning dummy inside the vehicle to make the environmental response of the air conditioning dummy consistent with the thermal state inside the vehicle, and load the corresponding air conditioning calibration method for the air conditioning dummy according to the target environmental scenario, thereby forming the air conditioning control parameters corresponding to the target environmental scenario. Preferably, the air conditioning dummy is first initialized, specifically by placing it on a car seat according to user habits, obtaining the initial equivalent temperature of the space through a static method, and ensuring it matches the car's interior temperature with an error controlled within ±0.5℃. The air conditioning dummy meets the requirements for low-altitude and low-pressure adaptation, partial thermal load simulation (including high-altitude human metabolic characteristics), multi-condition tolerance sensing, and high-altitude-specific feedback. It can operate stably in complex environments, replacing the human body in providing feedback on thermal comfort needs and mitigating system reliability risks.

[0028] For example, the air conditioning dummy is designed with the dimensions and characteristics of a male 50th generation, with a height of 165-175cm and a BMI of 20-24. It can operate in complex environments such as temperatures ranging from -20℃ to 70℃ and humidity from 5% to 95%RH. It supports diverse communication connections and has a maximum sampling frequency of 1Hz, enabling it to monitor cabin environmental parameters at various driver and passenger positions.

[0029] Specifically, if the ambient temperature obtained by multiple sensors and the vehicle ECU is lower than the first ambient temperature threshold, the altitude is greater than or equal to the altitude threshold, and the average solar radiation value within a certain period is greater than or equal to the first radiation value threshold, then the target environment scenario is a high-altitude, low-temperature, and sun-exposed static scenario (e.g., Figure 3 and 5 (as shown) Preferably, when both the ambient temperature and altitude (H) of the parameters collected by the sensors and the vehicle ECU are low (i.e., below the first ambient temperature threshold), and the altitude (H) is ≥2000m, it is necessary to further determine whether the average radiation value of the solar radiation sensor in the preset sensors over a long period of time is ≥160W / m. 2 If the value is greater than 0, the target environment is determined to be a static scene with high altitude, low temperature and exposure to sunlight.

[0030] The air conditioner calibration method corresponding to static scenarios of high altitude, low temperature and exposure to sunlight is as follows: The front air conditioning vents in the car are only turned on in blowing mode, and the low-temperature air from outside the car is directly delivered to the upper part of the car interior through external circulation until the temperature difference between the head and feet of the air conditioning dummy and the temperature difference between the chest and feet are both less than or equal to the temperature difference threshold, or the temperature difference between any one of the head, chest and feet is less than or equal to the temperature difference threshold.

[0031] Preferably, the vehicle's air conditioning is turned on in auto 22℃ mode (for 20 minutes), and the vehicle's air conditioning zone control strategy is adjusted based on the EHT data of the local space equivalent temperature of the air conditioning dummy. 1. Due to strong solar radiation, the temperature of the head and chest of the air-conditioned dummy will be much higher than the set temperature of 22°C; 2. The synchronized angle of illumination from both sides of the car windows will cause the temperature of the arm with high exposure to be much higher than the set 22℃; 3. Due to the limited exposure to sunlight caused by interior trim, the lower legs and feet are relatively cool, approaching the air conditioning setting of 22°C.

[0032] Based on the equivalent temperature value of the local space reported by the air conditioning dummy, the vehicle air conditioning strategy can be adjusted for this complex scenario. Taking into account the intensity of solar radiation, the air conditioning duct and vent can be controlled in zones. The feet can be heated by utilizing residual heat. The air conditioning vents in the front row of the vehicle can be turned on only in the blowing mode, and the low-temperature air from outside can be directly delivered to the upper part of the vehicle interior space using the external circulation.

[0033] The system coordinates the adjustment and control of the equivalent temperature of the space fed back by the air-conditioned dummy with the air conditioning strategy until the temperature difference between any one of the dummy's head, chest, and foot temperatures is less than or equal to a temperature difference threshold of 3°C. Specifically, the temperature difference between the dummy's head and foot temperatures, and the temperature difference between its chest and foot temperatures, are both less than or equal to 3°C. (The minimum head-to-foot temperature difference for human comfort should be maintained at 3°C, with a reasonable range of 3-5°C).

[0034] Specifically, if the ambient temperature obtained by multiple sensors and the vehicle ECU is greater than the second ambient temperature threshold, and the average solar radiation value within a certain period is greater than or equal to the second radiation value threshold, then the target environment scenario is a high-altitude, high-heat static scenario. Preferably, when both the ambient temperature and the ambient temperature collected by the sensor and the vehicle ECU are high (i.e., greater than the second ambient temperature threshold), and the average radiation value of the solar radiation sensor in the preset sensor is ≥200W / m², 2 If so, the target environment is determined to be a high-altitude, high-heat, static environment.

[0035] The air conditioning calibration method corresponding to high-altitude, high-heat static scenarios is as follows: When the equivalent temperature of the space of the air-conditioned dummy is greater than or equal to the third ambient temperature threshold, and the local radiant heat of the air-conditioned dummy is greater than or equal to the third radiation value threshold, the air conditioner is set to maximum cooling, external circulation, and the sunshade is closed. Preferably, when the equivalent temperature of the space is greater than or equal to 40℃ and the local radiant heat is greater than or equal to 150W / ㎡, the air conditioner setting should be adjusted to "maximum cooling + internal circulation + sunshade closed".

[0036] If the real-time equivalent temperature of the air-conditioned dummy's space is greater than or equal to 40℃, then set the air conditioner compressor power to [value missing]. =90% * rated power, fan speed =1.3, the opening degree of the front and rear air vents in the car is 80%; When the equivalent temperature of the space around the dummy's head drops to ±3°C of the air conditioner's set target value, the air conditioner compressor power is set to... =70% * rated power, fan speed =1.1, and ensure that the temperature deviation between each part of the air-conditioned dummy and the ambient temperature is less than or equal to 2℃ within a certain period of time, and the compressor exhaust temperature is less than or equal to 115℃ (to prevent insulation layer aging under high altitude and high temperature).

[0037] Preferably, the parameters collected by the preset sensor are compared with the environmental parameters on the CAN line. When the ambient temperature is ≤-10℃, the relative humidity is ≥70%, and the altitude sensor reports an altitude of ≥2000m, it is determined to be a high-altitude, cold, and humid static scene.

[0038] The air conditioning calibration method corresponding to static scenarios with high altitude, high cold, and high humidity is as follows: Based on the local radiant heat and EHT data of the air conditioning dummy, when the local EH is ≤5℃ and the humidity sensor RH is ≥85%, the air conditioning settings are adjusted to "maximum heating + internal circulation + windshield defroster on + seat / steering wheel heating on".

[0039] Based on the real-time equivalent temperature (EHT) data from the air conditioning dummy and feedback on the glass defogger status, the power of the vehicle's air conditioning compressor (heat pump mode) was set to... =90% * rated power; fan speed =1.4, front windshield defroster duct opening 100%, front and rear interior heater duct opening 90%; simultaneously turn on seat and steering wheel heating to high setting.

[0040] When the equivalent temperature (EHT) of the dummy's head space rises to 18±3℃ and the humidity of the windows drops to ≤60% (no risk of fogging), adjust... =75% * rated power; fan speed =1.2; Seat / steering wheel heating switched to medium setting. Record parameters required: Ensure that the temperature deviation of each part of the dummy is ≤2℃ within 40 minutes, the air conditioning system outlet temperature is stable at 28±2℃, the compressor exhaust temperature is ≤105℃ (avoiding the risk of system aging caused by excessive heating under low air pressure), and there is no fogging or icing on the windows.

[0041] Preferably, in addition to determining the target environment scenario through numerical methods as described above, this embodiment also proposes the following method to automatically determine the target environment scenario in which the vehicle is located, specifically including: Sampling period: (seconds), using a length of Sliding time window (window duration) ), record the first Within the first sliding time window The temporal environmental feature vector (environmental information) of the sensor is obtained and normalized. Here, the first... These types of sensors include preset sensors and vehicle ECUs; Then get the first The mean of the temporal environmental feature vectors of all sensors is obtained by summing and concatenating the mean values ​​of the temporal environmental feature vectors of all sensors to form the first... Scene tensor of a sliding time window ; Obtain the typical feature center vectors (first normalize them, then obtain the typical feature center vectors, such as the average value) and feature covariance matrix of the target environment scene (i.e., high-altitude low-temperature exposure static scene, high-altitude high-heat static scene, and high-altitude cold and high-humidity static scene), and define the scene manifold: in, For the first A multidimensional feature subspace manifold for each target environment scene is used to measure the degree of matching between the mean of the collected temporal environment feature vectors and the typical feature center vectors of a target environment scene. For the first Typical feature center vectors of a target environment scene. For matrix transpose, For the first The feature covariance matrix of each target environment scene For the first The manifold boundary of a target environment scenario (e.g., the Mahalanobis distance of most samples in high-altitude, high-heat environments is ≤12, then...) =12).

[0042] For the scene tensor within a continuously sliding time window: And calculate the first drift degree of the scene tensor, and calculate the second drift degree based on the first drift degree. The scene tensor of the sliding time window is relative to the first sliding time window. The second drift degree of each target environment scene specifically includes: in, For the first The first drift degree of the scene tensor within a sliding time window. For the first The scene tensor of a sliding time window, For the first The scene tensor of a sliding time window, The number of sliding time windows, For the first The scene tensor of the sliding time window is relative to the first sliding time window. The second drift degree of the target environment scene.

[0043] like (in, If the drift threshold is used, the current environment is considered to be in an unstable drift state, and the confidence level of the corresponding scene judgment should be reduced.

[0044] The purpose of calculating the second drift degree in this embodiment is to determine if the current point is far from the multidimensional feature subspace manifold. The drift is amplified, and if the current point is inside the manifold, there is no need to worry about short-term interference, thus solving the problem of blurred boundaries between "sun exposure" and "high heat".

[0045] Finally, regarding the first For each target environment scenario, calculate its posterior probability: in, For the first The scene tensor of the sliding time window belongs to the first... The probability of each target environment scenario (normalized to 0-1). For the first The scene tensor of the sliding time window belongs to the first... The weights of each target environment scenario This is a scale factor for scene similarity (for example, both "high altitude, low temperature, and intense sunlight" and "high altitude, high heat" may have high radiation, but the temperature difference is significant). If the value is too large, the two criteria will be mixed up, therefore... The value can be set empirically (it is a positive constant), according to... Determine the target environment scenario in which the vehicle is located.

[0046] Step 103: Monitor the perceptual deviation of each part of the air conditioning dummy in real time. If the perceptual deviation of a certain part is greater than the preset threshold, adjust the corresponding control parameters of the air conditioner and correct the air conditioner output through the adjusted control parameters, thereby forming a dynamic closed-loop calibration driven by the air conditioning dummy feedback.

[0047] Step 104: Repeat steps 102 and 103 until the number of iterations is reached, the perceptual deviation of all parts of the air conditioning dummy is less than or equal to the preset threshold, and there is no system failure of the air conditioning. Then, solidify the control parameters of the air conditioning under the corresponding target environment scenario into the vehicle ECU to complete the stability verification of the calibration effect.

[0048] Preferably, an adaptive PID algorithm is used to correct parameter deviations, and repeated tests are conducted to verify stability and ensure that the temperature deviation is ≤2.5℃; Deviation identification: Real-time calculation of temperature deviations in various parts of an air-conditioned dummy. ,in, For temperature deviation, The temperature of a certain part of the air-conditioned dummy. The target temperature for a certain part of the air-conditioned dummy, if >2.5℃, combined with real-time air pressure P trigger feedback adjustment; Parameter correction: such as Figure 4 As shown, the PID coefficient (proportional coefficient under low pressure) is adaptively adjusted according to the environment type and altitude gradient. Increasing the size of the system makes it more sensitive, faster, and reduces steady-state error. For example: high altitude and low temperature, when , If the chest temperature deviation is 3°C at this time, then: (PTC power increased by 45%) High altitude and high heat, when , If the head deviation is 2°C at this time, then: (Compressor power increased by 20%).

[0049] Stability verification: After correction, repeat the air conditioning calibration under the corresponding operating conditions and test continuously for 3 times. If the deviation is ≤2.5℃ and there is no system failure, the parameters are considered stable.

[0050] Parameter solidification: Personnel parameters are solidified according to user habits, calibration parameters are solidified according to the corresponding target environmental scenarios, written into the vehicle air conditioning ECU and stored fault thresholds.

[0051] The following is a specific implementation example of this embodiment: Taking the air conditioning calibration of a hybrid vehicle under a static scenario of high altitude, low temperature, and direct sunlight (altitude 4700m, ambient temperature 8℃, atmospheric pressure 55.5kPa, humidity 25%) as an example, the implementation process is explained: 1. Environmental data collection and air conditioning dummy initialization: Environmental data collection: H=4700m, Tenv=8℃, P=55.5kPa, RH=25% Air conditioning dummy initialization: CATARC_NB model air conditioning dummy is used. Clothing: Spring / Autumn 3: 1.1clo- Underwear, short-sleeved T-shirt, shirt, pants, jacket, socks, shoes. Activity level: (occupant) Sitting upright, sitting straight, relaxed--1.0met. Gender: Male. Age: Young adult 15-35 years old. Height: Male 165-175. BMI: 20-24.

[0052] Place the air conditioning dummy in the passenger compartment according to the user's usual usage habits, lower the vehicle windows, open both doors, and leave it in the environment for more than 15 minutes until the basic environmental parameters inside the vehicle are basically consistent with the external environmental parameters, with a temperature error between 0.05% and 0.1%.

[0053] 2. Operating Condition 1: Static Scene Calibration at High Altitude and Low Temperature Under Sun Exposure Initial state: After standing still, close the windows and doors, and turn on the air conditioning in auto 22℃ mode (20 minutes). Record initial air conditioning parameters, including but not limited to: PTC power, compressor power, current radiation threshold, and duct damper opening; Deviation monitoring: After 15 minutes, the air conditioning dummy sensor collects and reports the equivalent temperature (EHT) values ​​for various parts of the space. Equivalent temperature of head space (EHT): 30℃ (deviation +8℃, strong radiation causing local overheating), equivalent temperature of left calf space (EHT): 25.3℃ (deviation +3.3℃, ​​due to the effect of the air conditioner's lower air duct damper, but there is also a performance degradation of the air conditioner compressor), equivalent temperature of right calf space (EHT): 28.9℃ (deviation +6.9℃, the local effect of the air conditioner and the strong radiation caused a deviation of 3.6℃ between the left and right calf spaces).

[0054] To address the issue of significant temperature differences in certain areas of the air-conditioned dummy (as shown in the figure), the solar radiation intensity and temperature in different areas inside the vehicle are simultaneously collected and incorporated into the optimization and adjustment of the air conditioning strategy.

[0055] Air conditioning parameter adjustment and strategy optimization: Air conditioning strategy optimization: When determining heating and cooling based on ambient temperature, the intensity of solar radiation is taken into account to avoid localized high temperatures caused by strong radiation even in low ambient temperatures. To address high temperatures caused by strong localized radiation, zoned cooling and maintaining a constant temperature heating environment inside the vehicle are implemented.

[0056] Compressor compensation: The compressor power is synchronously increased based on the initial data acquisition, and the output cold air is blown to the head area through the air duct strategy to balance the heat radiation.

[0057] Airflow optimization: The opening of the head air vents is increased proportionally and the amount of cold air mixed is increased. The opening of the foot air vents is increased less than that of the head air vents, while maintaining a constant temperature. At the same time, the opening of the air conditioning circulating fan in the vehicle is strengthened.

[0058] Stable results: After a certain period of calibration, repeat the above steps to perform cyclic calibration based on the calibrated air conditioning strategy and the adjusted parameters of each component until the EHT deviation of each part of the air conditioning dummy is less than 2℃; the maximum temperature difference in the vehicle interior is less than 5℃, and there is no local overcooling or overheating. Then the calibration of this model under the static scenario of high altitude, low temperature and sun exposure is completed.

[0059] 3. Reliability Verification After several consecutive cycles, selecting similar complex environments and simulating the day-night cycle of exposure to sunlight and cooling: The air conditioning components are operating normally, with no fault reports. The equivalent temperature (EHT) deviation of the local space of the air-conditioned dummy is stable, meeting the normal local temperature difference requirements for human comfort. The temperature difference inside the vehicle is stable, with no localized overheating or overcooling.

[0060] Example 2 like Figure 2 As shown, this embodiment proposes a vehicle air conditioning calibration system based on an air conditioning dummy in complex environments, including: The scene segmentation module is used to acquire multi-source environmental information inside the vehicle through multiple sensors and the vehicle ECU, to collaboratively fuse the multi-source environmental information, and to determine the target environmental scene in which the vehicle is located based on the fused multi-source environmental information. The air conditioning calibration module is used to place an air conditioning dummy inside the vehicle so that the environmental response of the air conditioning dummy is consistent with the thermal state inside the vehicle. It also loads the corresponding air conditioning calibration method onto the air conditioning dummy according to the target environmental scenario, thereby forming the control parameters of the air conditioning corresponding to the target environmental scenario. The adjustment module is used to monitor the perceptual deviation of various parts of the air conditioning dummy in real time. If the perceptual deviation of a certain part is greater than a preset threshold, the corresponding control parameters of the air conditioning are adjusted, and the air conditioning output is corrected again through the adjusted control parameters, thereby forming a dynamic closed-loop calibration driven by the air conditioning dummy feedback.

[0061] Other technical solutions in this embodiment correspond to those in Embodiment 1, and therefore will not be described in detail.

[0062] Example 3 This invention also proposes a storage medium storing multiple instructions for implementing the vehicle air conditioning calibration method based on an air conditioning dummy in a complex environment.

[0063] Optionally, in this embodiment, the storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0064] Optionally, in this embodiment, the storage medium is configured to store program code for performing the method steps of Embodiment 1.

[0065] Example 4 This invention also proposes an electronic device, including a processor and a storage medium connected to the processor. The storage medium stores multiple instructions, which can be loaded and executed by the processor to enable the processor to execute the aforementioned vehicle air conditioning calibration method based on an air conditioning dummy in a complex environment.

[0066] Specifically, the electronic device in this embodiment can be a computer terminal, which may include one or more processors and a storage medium.

[0067] The storage medium can be used to store software programs and modules, such as the vehicle air conditioning calibration method based on an air conditioning dummy in a complex environment according to an embodiment of the present invention. The corresponding program instructions / modules are executed by the processor through running the software programs and modules stored in the storage medium, thereby performing various functional applications and data processing, thus realizing the aforementioned vehicle air conditioning calibration method based on an air conditioning dummy in a complex environment. The storage medium may include high-speed random access storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely configured relative to the processor, which can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0068] The processor can execute the method steps of Embodiment 1 by calling the information and application stored in the storage medium through the transmission system.

[0069] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0070] In the several embodiments provided by this invention, it should be understood that the disclosed technical content can be implemented in other ways. The system embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between units or modules, and may be electrical or other forms.

[0071] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0072] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0073] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, read-only storage media (ROM), random access storage media (RAM), portable hard drives, magnetic disks, optical disks, and other media capable of storing program code.

[0074] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for calibrating vehicle air conditioning based on an air conditioning dummy in complex environments, characterized in that, include: Step 101: Obtain multi-source environmental information inside the vehicle through multiple sensors and the vehicle ECU, integrate the multi-source environmental information, and determine the target environmental scene where the vehicle is located based on the integrated multi-source environmental information. Step 102: Place the air conditioning dummy inside the vehicle to make the environmental response of the air conditioning dummy consistent with the thermal state inside the vehicle, and load the corresponding air conditioning calibration method for the air conditioning dummy according to the target environmental scenario, thereby forming the air conditioning control parameters corresponding to the target environmental scenario. Step 103: Monitor the perceptual deviation of each part of the air conditioning dummy in real time. If the perceptual deviation of a certain part is greater than the preset threshold, adjust the corresponding control parameters of the air conditioner and correct the air conditioner output through the adjusted control parameters, thereby forming a dynamic closed-loop calibration driven by the air conditioning dummy feedback.

2. The vehicle air conditioning calibration method based on an air conditioning dummy in a complex environment as described in claim 1, characterized in that, Step 104: Repeat steps 102 and 103 until the number of iterations is reached, the perceptual deviation of all parts of the air conditioning dummy is less than or equal to the preset threshold, and there is no system failure of the air conditioning. Then, solidify the control parameters of the air conditioning under the corresponding target environment scenario into the vehicle ECU to complete the stability verification of the calibration effect.

3. The vehicle air conditioning calibration method based on an air conditioning dummy in a complex environment as described in claim 1, characterized in that, The target environmental scenarios include: high-altitude low-temperature exposure static scenarios, high-altitude high-heat static scenarios, and high-altitude cold and high-humidity static scenarios.

4. The vehicle air conditioning calibration method based on an air conditioning dummy in a complex environment as described in claim 3, characterized in that, If the ambient temperature obtained by multiple sensors in the vehicle and the vehicle ECU is lower than the first ambient temperature threshold, the altitude is greater than or equal to the altitude threshold, and the average solar radiation value within a certain period is greater than or equal to the first radiation value threshold, then the target environment scenario is a high-altitude, low-temperature, sun-exposed static scenario. The air conditioner calibration method corresponding to static scenarios of high altitude, low temperature and exposure to sunlight is as follows: The front air conditioning vents in the car are only turned on in blowing mode, and the low-temperature air from outside the car is directly delivered to the upper part of the car interior through external circulation until the temperature difference between the head and feet of the air conditioning dummy and the temperature difference between the chest and feet are both less than or equal to the temperature difference threshold, or the temperature difference between any one of the head, chest and feet is less than or equal to the temperature difference threshold.

5. The vehicle air conditioning calibration method based on an air conditioning dummy in a complex environment as described in claim 3, characterized in that, If the ambient temperature obtained by multiple sensors in the vehicle and the vehicle ECU is greater than the second ambient temperature threshold, and the average solar radiation value within a certain period is greater than or equal to the second radiation value threshold, then the target environment scenario is a high-altitude, high-heat static scenario. The air conditioning calibration method corresponding to high-altitude, high-heat static scenarios is as follows: When the equivalent temperature of the space of the air-conditioned dummy is greater than or equal to the third ambient temperature threshold, and the local radiant heat of the air-conditioned dummy is greater than or equal to the third radiation value threshold, the air conditioner is set to maximum cooling, external circulation, and the sunshade is closed. Based on the real-time equivalent temperature of the air-conditioned dummy, the air conditioner compressor power is set to... =90% * rated power, fan speed =1.3, the opening degree of the front and rear air vents in the car is 80%; When the equivalent temperature of the space above the dummy's head drops to the positive / negative first temperature deviation threshold of the air conditioner's set target value, the air conditioner compressor power is set to... =70% * rated power, fan speed =1.1, and ensure that the temperature deviation between each part of the air-conditioned dummy and the ambient temperature is less than or equal to the second temperature deviation threshold and the compressor exhaust temperature is less than or equal to the third temperature deviation threshold within a certain period of time.

6. The vehicle air conditioning calibration method based on an air conditioning dummy in a complex environment as described in claim 1, characterized in that, If the ambient temperature obtained by multiple sensors in the vehicle and the vehicle ECU is less than or equal to -10℃, the relative humidity is greater than or equal to 70%, and the altitude is greater than or equal to 2000m, then it is determined to be a high-altitude, cold, and humid static scene. The air conditioning calibration method corresponding to static scenarios with high altitude, high cold, and high humidity is as follows: When the local radiant heat of the air-conditioned dummy is less than or equal to 5°C and the relative humidity is greater than or equal to 85%, the air conditioning setting should be adjusted to maximum heating + internal circulation + windshield defroster + seat / steering wheel heating. Set the vehicle's air conditioning compressor power to =90% * rated power, fan speed =1.4, front windshield defroster duct opening 100%, front and rear air vents opening 90%; simultaneously turn on seat and steering wheel heating to high level; When the temperature of the dummy's head rises to 18±3℃ and the relative humidity drops to less than or equal to 60%, the vehicle's air conditioning compressor power is set to [value missing]. =75% * rated power, fan speed =1.2; Switch the seat / steering wheel heating to the medium setting.

7. A vehicle air conditioning calibration system based on an air conditioning dummy in complex environments, characterized in that, include: The scene segmentation module is used to acquire multi-source environmental information inside the vehicle through multiple sensors and the vehicle ECU, to collaboratively fuse the multi-source environmental information, and to determine the target environmental scene in which the vehicle is located based on the fused multi-source environmental information. The air conditioning calibration module is used to place an air conditioning dummy inside the vehicle so that the environmental response of the air conditioning dummy is consistent with the thermal state inside the vehicle. It also loads the corresponding air conditioning calibration method onto the air conditioning dummy according to the target environmental scenario, thereby forming the control parameters of the air conditioning corresponding to the target environmental scenario. The adjustment module is used to monitor the perceptual deviation of various parts of the air conditioning dummy in real time. If the perceptual deviation of a certain part is greater than a preset threshold, the corresponding control parameters of the air conditioning are adjusted, and the air conditioning output is corrected again through the adjusted control parameters, thereby forming a dynamic closed-loop calibration driven by the air conditioning dummy feedback.

8. A vehicle air conditioning calibration system based on an air conditioning dummy in a complex environment as described in claim 7, characterized in that, Step 104: Repeat steps 102 and 103 until the number of iterations is reached, the perceptual deviation of all parts of the air conditioning dummy is less than or equal to the preset threshold, and there is no system failure of the air conditioning. Then, solidify the control parameters of the air conditioning under the corresponding target environment scenario into the vehicle ECU to complete the stability verification of the calibration effect.

9. A vehicle air conditioning calibration system based on an air conditioning dummy in a complex environment as described in claim 7, characterized in that, The target environmental scenarios include: high-altitude low-temperature exposure static scenarios, high-altitude high-heat static scenarios, and high-altitude cold and high-humidity static scenarios.

10. A vehicle air conditioning calibration system based on an air conditioning dummy in a complex environment as described in claim 9, characterized in that, If the ambient temperature obtained by multiple sensors in the vehicle and the vehicle ECU is lower than the first ambient temperature threshold, the altitude is greater than or equal to the altitude threshold, and the average solar radiation value within a certain period is greater than or equal to the first radiation value threshold, then the target environment scenario is a high-altitude, low-temperature, sun-exposed static scenario. The air conditioner calibration method corresponding to static scenarios of high altitude, low temperature and exposure to sunlight is as follows: The front air conditioning vents in the car are only turned on in blowing mode, and the low-temperature air from outside the car is directly delivered to the upper part of the car interior through external circulation until the temperature difference between the head and feet of the air conditioning dummy and the temperature difference between the chest and feet are both less than or equal to the temperature difference threshold, or the temperature difference between any one of the head, chest and feet is less than or equal to the temperature difference threshold.

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