Vehicle cabin multi-working-condition adaptive cooling method and device

Abstract

The application relates to a vehicle cabin multi-working-condition self-adaptive cooling method and device, wherein the method comprises the following steps: collecting vehicle cabin data, environment data and invasion risk data of a target vehicle, so as to perform working-condition grading and arrival time prediction and revision in parallel when the vehicle receives a remote control instruction of a user, obtain a working-condition grade and a target cooling starting time, control the vehicle to perform gradient air exhaust, perform layered refrigeration after the air exhaust is completed, obtain the average temperature of the vehicle cabin after the layered refrigeration, compare the average temperature with an internal circulation temperature threshold value and a constant temperature threshold value, obtain a comparison result, and switch the air conditioning operation mode of the vehicle according to the comparison result. The application accurately identifies the sun exposure working condition of the vehicle cabin through multi-dimensional sensing data, and realizes the whole-process self-adaptive control of the working-condition grading-remote prediction-gradient air exhaust-layered refrigeration-constant temperature maintenance through a main control unit, so as to balance the cooling efficiency, energy consumption economy, safety and user experience.

Description

Technical Field

[0001] This application relates to the field of automotive thermal management technology, and in particular to a multi-condition adaptive cooling method and device for vehicle cabin. Background Technology

[0002] After a vehicle has been exposed to direct sunlight, the temperature inside the cabin rises rapidly, far exceeding the ambient temperature. This not only results in a very unpleasant experience for passengers upon entering the vehicle, but also accelerates the aging of the interior materials, releases harmful gases, and may even cause spontaneous combustion of flammable and explosive materials, posing safety hazards. Existing vehicle cabin cooling technologies are mainly divided into three categories: passive insulation, active ventilation, and air conditioning.

[0003] However, existing vehicle cabin cooling technologies have rigid cooling modes, lack adaptability to different operating conditions, and have poor coordination between exhaust and cooling, resulting in a poor user experience. In addition, existing vehicle cabin cooling technologies lack scenario integration and have a poor remote control experience, which urgently need to be addressed. Summary of the Invention

[0004] This application provides a multi-condition adaptive cooling method and device for vehicle cabins to solve the problems of existing vehicle cabin cooling technologies, such as fixed cooling modes, lack of adaptability to operating conditions, poor coordination between exhaust and cooling, poor user experience, insufficient scenario integration, and poor remote control experience.

[0005] The first aspect of this application provides a multi-condition adaptive cooling method for vehicle cabins, comprising the following steps: collecting cabin data, environmental data, and intrusion risk data of a target vehicle; when the target vehicle receives a remote control command from a user, performing a preset operating condition classification and arrival time prediction and revision operation in parallel based on the cabin data, the environmental data, and the intrusion risk data to obtain the corresponding operating condition level and target cooling start time; controlling the target vehicle to perform a preset gradient exhaust operation based on the operating condition level and the target cooling start time, and performing stratified cooling on the target vehicle after the gradient exhaust operation is completed, obtaining the average cabin temperature of the target vehicle after stratified cooling, and comparing the average cabin temperature with a preset internal circulation temperature threshold and a constant temperature threshold to obtain a corresponding comparison result, and switching the air conditioning operation mode of the target vehicle according to the comparison result.

[0006] Optionally, in one embodiment of this application, the step of performing preset operating condition classification and arrival time prediction and revision operations in parallel based on the cabin data, the environmental data, and the intrusion risk data to obtain the corresponding operating condition level and target cooling start time includes: determining the highest temperature inside the target vehicle through the main control unit, and determining the operating condition level of the target vehicle by combining the cabin data and the environmental data.

[0007] Optionally, in one embodiment of this application, the step of performing preset operating condition classification and arrival time prediction and revision operations in parallel based on the cabin data, the environmental data, and the intrusion risk data to obtain the corresponding operating condition level and target cooling start time further includes: calculating the relative distance between the user and the target vehicle based on the remote control command and the user's mobile terminal positioning data to estimate the basic arrival time; correcting the basic arrival time using the user's remote key radio frequency signal strength, adjusting the corrected basic arrival time using the user's Bluetooth signal strength and the mobile terminal positioning data, and calculating the target cooling start time in conjunction with the preset reservation time.

[0008] Optionally, in one embodiment of this application, controlling the target vehicle to perform a preset gradient ventilation operation based on the operating condition level and the target cooling start time includes: when the area where the target vehicle is located is a non-rainy day operating condition, determining the sunroof tilt angle, diagonal window opening size, seat wind speed, air conditioning external circulation wind speed, ventilation duration, full air duct start status, and current level average temperature threshold corresponding to the operating condition level, so as to perform the cabin ventilation operation of the corresponding operating condition level.

[0009] Optionally, in one embodiment of this application, controlling the target vehicle to perform a preset gradient exhaust operation based on the operating condition level and the target cooling start time further includes: when the area where the target vehicle is located is a rainy day, closing all windows of the target vehicle, activating full ventilation, ventilating the front and rear seats at a preset wind speed, setting the air conditioner to maximum external circulation airflow, extending the exhaust time to a preset duration or reducing the average temperature of the vehicle cabin to a first average temperature threshold, and forcibly circulating and discharging residual heat through airflow.

[0010] Optionally, in one embodiment of this application, controlling the target vehicle to perform a preset gradient exhaust operation based on the operating condition level and the target cooling start time further includes: when there is a risk of surrounding security intrusion into the target vehicle, closing all windows of the target vehicle, activating full air duct opening, ventilating the front and rear seats at the preset wind speed, setting the air conditioner to maximum external airflow, extending the exhaust time to the preset time or reducing the average temperature of the cabin to the current level average temperature threshold corresponding to the corresponding operating condition level, and forcibly circulating and discharging residual heat through airflow.

[0011] Optionally, in one embodiment of this application, the step of performing stratified cooling on the target vehicle and obtaining the average cabin temperature of the target vehicle after stratified cooling includes: controlling a preset multi-channel expansion valve to adjust the refrigerant flow rate of the front branch, so that the refrigerant flow rate ratio between the front and rear branches meets a first preset ratio requirement, and operating the air conditioner with external circulation, maximum air volume, and minimum temperature; and closing all windows when the average cabin temperature drops to a second average temperature threshold.

[0012] Optionally, in one embodiment of this application, the step of comparing the average cabin temperature, a preset internal circulation temperature threshold, and a constant temperature threshold to obtain a corresponding comparison result, and switching the air conditioning operation mode of the target vehicle according to the comparison result, includes: when the average cabin temperature drops to the internal circulation temperature threshold, switching the air conditioning to internal circulation through the main control unit, and adjusting the multi-channel expansion valve so that the refrigerant flow ratio between the front and rear rows meets the second preset ratio requirement, while reducing the air conditioning air volume to a preset level.

[0013] Optionally, in one embodiment of this application, the step of comparing the average cabin temperature, a preset internal circulation temperature threshold, and a constant temperature threshold to obtain a corresponding comparison result, and switching the air conditioning operation mode of the target vehicle according to the comparison result, further includes: when the average cabin temperature drops to the constant temperature threshold, switching the air conditioning to constant temperature mode, setting the air conditioning temperature to the target temperature, and closing all windows, all air ducts, and the front and rear seat ventilation of the target vehicle, and operating the air conditioning at a preset power.

[0014] A second aspect of this application provides a multi-condition adaptive cooling device for a vehicle cabin, comprising: a data acquisition module for acquiring cabin data, environmental data, and intrusion risk data of a target vehicle; a dual logic operation module for, when the target vehicle receives a remote control command from a user, performing in parallel preset operating condition classification and arrival time prediction and revision operations based on the cabin data, the environmental data, and the intrusion risk data to obtain the corresponding operating condition level and target cooling start time; and an adaptive cooling module for, based on the operating condition level and the target cooling start time, controlling the target vehicle to perform a preset gradient exhaust operation, and performing stratified cooling on the target vehicle after the gradient exhaust operation is completed, obtaining the average cabin temperature of the target vehicle after stratified cooling, comparing the average cabin temperature with a preset internal circulation temperature threshold and a constant temperature threshold to obtain a corresponding comparison result, and switching the air conditioning operation mode of the target vehicle according to the comparison result.

[0015] Optionally, in one embodiment of this application, the dual logic operation module includes: a level determination unit, used to determine the highest temperature inside the target vehicle through the main control unit, and to determine the operating condition level of the target vehicle by combining the cabin data and the environmental data.

[0016] Optionally, in one embodiment of this application, the dual logic operation module further includes: an estimation unit, used to calculate the relative distance between the user and the target vehicle based on the remote control command and the user's mobile terminal positioning data, so as to estimate the basic arrival time; and a correction unit, used to correct the basic arrival time by using the user's remote key radio frequency signal strength, and to adjust the corrected basic arrival time using the user's Bluetooth signal strength and the mobile terminal positioning data, and to calculate the target cooling start time in conjunction with a preset reservation time.

[0017] Optionally, in one embodiment of this application, the adaptive cooling module includes: a non-rainy day ventilation unit, used to determine the sunroof tilt angle, diagonal window opening size, seat wind speed, air conditioning external circulation wind speed, ventilation duration, full air duct activation status and current level average temperature threshold corresponding to the operating condition level when the area where the target vehicle is located is a non-rainy day operating condition, so as to perform the cabin ventilation operation of the corresponding operating condition level.

[0018] Optionally, in one embodiment of this application, the adaptive cooling module further includes: a rainy day ventilation unit, used to close all windows of the target vehicle, activate all air ducts to be fully open, and ventilate the front and rear seats at a preset wind speed when the area where the target vehicle is located is in rainy weather, set the air conditioner external circulation to the maximum air volume, extend the ventilation time to a preset time or reduce the average temperature of the cabin to a first average temperature threshold, and exhaust residual heat through forced airflow circulation.

[0019] Optionally, in one embodiment of this application, the adaptive cooling module further includes: a safety intrusion exhaust unit, used to close all windows of the target vehicle, activate all air ducts to be fully open, and ventilate the front and rear seats at the preset wind speed, with the air conditioning external circulation at maximum air volume, extend the exhaust time to the preset time or reduce the average temperature of the cabin to the current level average temperature threshold corresponding to the corresponding operating condition level when the target vehicle has a risk of surrounding safety intrusion. The unit also uses forced airflow circulation to exhaust residual heat.

[0020] Optionally, in one embodiment of this application, the adaptive cooling module further includes: a layered cooling unit, used to control a preset multi-channel expansion valve to adjust the refrigerant flow rate of the front branch, so that the refrigerant flow rate ratio between the front and rear branches meets a first preset ratio requirement, and to operate the air conditioner with external circulation, maximum air volume, and minimum temperature, and to close all windows when the average temperature of the vehicle cabin drops to a second average temperature threshold.

[0021] Optionally, in one embodiment of this application, the adaptive cooling module further includes: a cooling regulation transition unit, used to switch the air conditioner to internal circulation through the main control unit when the average temperature of the vehicle cabin drops to the internal circulation temperature threshold, and to adjust the multi-channel expansion valve so that the refrigerant flow ratio between the front and rear rows meets the second preset ratio requirement, while reducing the air conditioning air volume to a preset level.

[0022] Optionally, in one embodiment of this application, the adaptive cooling module further includes: a constant temperature mode switching unit, used to switch the air conditioner to constant temperature mode when the average temperature of the vehicle cabin drops to the constant temperature threshold, and set the air conditioner temperature to the target temperature, and close all windows, all air ducts and the front and rear seat ventilation of the target vehicle, and operate the air conditioner at a preset power.

[0023] A third aspect of this application provides a vehicle, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the multi-condition adaptive cooling method for the vehicle cabin as described in the above embodiments.

[0024] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described adaptive cooling method for multi-condition cabin operation.

[0025] A fifth aspect of this application provides a computer program product, including a computer program that is executed to implement the above-described adaptive cooling method for multi-condition cabin operation described above.

[0026] Therefore, the embodiments of this application have the following beneficial effects: The embodiments of this application can collect cabin data, environmental data, and intrusion risk data of the target vehicle; when the target vehicle receives a remote control command from the user, based on the cabin data, environmental data, and intrusion risk data, perform preset operating condition classification and arrival time prediction and revision operations in parallel to obtain the corresponding operating condition level and target cooling start time; based on the operating condition level and target cooling start time, control the target vehicle to perform preset gradient exhaust operation, and perform layered cooling on the target vehicle after the gradient exhaust operation is completed, obtain the average cabin temperature of the target vehicle after layered cooling, and compare the average cabin temperature with the preset internal circulation temperature threshold and constant temperature threshold to obtain the corresponding comparison result, and switch the air conditioning operation mode of the target vehicle according to the comparison result. Therefore, this application improves the accuracy of operating condition classification and temperature regulation by collecting data from multiple sensors. Secondly, by fusing data from multiple sensors, this application achieves multi-dimensional and accurate classification of the current operating condition and accurately predicts the user's arrival time, avoiding energy waste caused by the vehicle arriving early. In addition, based on the operating condition level and cooling start time, this application controls the vehicle to perform gradient exhaust and layered cooling, thereby improving vehicle cooling efficiency and enhancing the user's driving experience. This solves the problems of existing cabin cooling technologies, such as fixed cooling modes, lack of adaptability to operating conditions, poor coordination between exhaust and cooling, poor user experience, insufficient scenario integration, and poor remote control experience.

[0027] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0028] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a multi-condition adaptive cooling method for a vehicle cabin provided according to an embodiment of this application; Figure 2 A schematic diagram of the logical architecture of a multi-condition adaptive cooling method for vehicle cabin provided in one embodiment of this application; Figure 3 A schematic diagram of the execution logic of a multi-condition adaptive cooling method for vehicle cabin provided in one embodiment of this application; Figure 4 This is an example diagram of a multi-condition adaptive cooling device for a vehicle cabin according to an embodiment of this application; Figure 5 This is a schematic diagram of the vehicle structure provided in an embodiment of this application.

[0029] Among them, 10-cabin multi-condition adaptive cooling device; 100-acquisition module; 200-dual logic operation module; 300-adaptive cooling module; 501-memory; 502-processor; 503-communication interface. Detailed Implementation

[0030] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0031] The following describes a vehicle cabin multi-condition adaptive cooling method and apparatus according to embodiments of this application with reference to the accompanying drawings. Addressing the problems mentioned in the background art, this application provides a vehicle cabin multi-condition adaptive cooling method. In this method, vehicle cabin data, environmental data, and intrusion risk data of the target vehicle are collected. When the target vehicle receives a remote control command from a user, based on the vehicle cabin data, environmental data, and intrusion risk data, preset operating condition classification and arrival time prediction and revision operations are executed in parallel to obtain the corresponding operating condition level and target cooling start time. Based on the operating condition level and target cooling start time, the target vehicle is controlled to perform a preset gradient exhaust operation, and after the gradient exhaust operation is completed, the target vehicle is subjected to stratified cooling. The average cabin temperature of the target vehicle after stratified cooling is obtained, and compared with the average cabin temperature, a preset internal circulation temperature threshold, and a constant temperature threshold to obtain the corresponding comparison result. The air conditioning operation mode of the target vehicle is then switched according to the comparison result. Therefore, this application improves the accuracy of operating condition classification and temperature regulation by collecting data from multiple sensors. Secondly, by fusing data from multiple sensors, this application achieves multi-dimensional and accurate classification of the current operating condition and accurately predicts the user's arrival time, avoiding energy waste caused by the vehicle arriving early. In addition, based on the operating condition level and cooling start time, this application controls the vehicle to perform gradient exhaust and layered cooling, thereby improving vehicle cooling efficiency and enhancing the user's driving experience. This solves the problems of existing cabin cooling technologies, such as fixed cooling modes, lack of adaptability to operating conditions, poor coordination between exhaust and cooling, poor user experience, insufficient scenario integration, and poor remote control experience.

[0032] Specifically, Figure 1 This is a flowchart of a multi-condition adaptive cooling method for a vehicle cabin provided in an embodiment of this application.

[0033] like Figure 1 As shown, the multi-condition adaptive cooling method for the vehicle cabin includes the following steps: In step S101, cabin data, environmental data, and intrusion risk data of the target vehicle are collected.

[0034] Those skilled in the art should understand that after a car has been exposed to the elements in summer, the temperature inside the cabin can easily rise above 60°C, far exceeding the ambient temperature. This not only results in a very unpleasant experience for passengers upon entering the vehicle, but also accelerates the aging of the interior, releases harmful gases, and may even cause spontaneous combustion of flammable and explosive materials, posing safety hazards. Existing automotive cabin cooling technologies are mainly divided into three categories: passive insulation, active ventilation, and air conditioning. However, these technologies still have many technical shortcomings in practical applications, as detailed below: 1. The cooling mode is fixed and lacks adaptability to different operating conditions: Most existing technologies use a single exhaust or cooling parameter, which cannot adaptively adjust according to multiple operating conditions such as the temperature, duration, and intensity of sunlight exposure in the vehicle cabin. This can easily lead to insufficient exhaust resulting in residual hot air, or excessive cooling causing energy waste, making it difficult to balance cooling efficiency and energy consumption.

[0035] 2. Poor coordination between ventilation and cooling, resulting in a poor user experience: Traditional solutions often involve opening all windows at once for ventilation, which can easily cause turbulence between hot and cold air and has a limited cooling effect. The front driver's seat is a high-frequency usage scenario, and the windshield in the front is exposed to more sun and accumulates more heat. In practice, the air conditioning uses a uniform airflow design throughout the entire area, which results in slow cooling speed in the front row and a poor driving experience.

[0036] 3. Insufficient scene integration and poor remote control experience: Existing remote pre-cooling technology can only achieve single window opening. Combined with the air conditioning start function, it lacks condition prediction and precise time adaptation, which can easily lead to over-cooling (energy waste) or insufficient cooling (still high temperature when getting into the car). In addition, there is no feedback on the cooling progress and it lacks connection with the cooling strategy of unlocking-starting-driving scenarios. Passengers still have to endure the high temperature period at the beginning of getting into the car.

[0037] 4. Insufficient security: During ventilation by opening windows or sunroofs, there is no linkage detection with the risk of intrusion from surrounding dangers, and the windows and sunroofs cannot be automatically closed when the risk is detected, which poses a safety hazard.

[0038] Therefore, in order to solve the above problems, this application provides a rapid cooling method for the vehicle cabin that is adaptive to multiple operating conditions, combines exhaust and cooling, and has high safety, thereby effectively improving the competitiveness of automobile products and optimizing the user's summer driving experience.

[0039] In actual implementation, the embodiments of this application can first collect real-time data on the interior of the vehicle cabin and the environment through a multi-sensor fusion module, including multi-point temperature inside the vehicle (i.e., global temperature data), solar radiation intensity, exposure time, rainfall, and other cabin and environmental data. Then, the corresponding intrusion risk data can be obtained through a surrounding safety monitoring module, thereby providing reliable data basis for the execution of subsequent working condition classification logic, arrival time prediction and revision logic.

[0040] Optionally, in one embodiment of this application, collecting cabin data, environmental data, and intrusion risk data of the target vehicle includes: installing multiple in-vehicle temperature sensors on the dashboard, rear seats, and roof of the target vehicle to collect global temperature data corresponding to the target vehicle; collecting the solar radiation intensity of the target vehicle using a preset light sensor, and using a preset timing module to continue working after the target vehicle is turned off to record the corresponding cabin exposure time; detecting the rainfall in the area where the target vehicle is located using a preset rain sensor, and determining cabin data based on global temperature data, solar radiation intensity, and cabin exposure time, and determining environmental data based on rainfall; and collecting intrusion risk data of the target vehicle when the target vehicle turns on parking ventilation or active exhaust cooling.

[0041] It should be noted that the multi-sensor fusion module in this application embodiment consists of a multi-point temperature sensor inside the vehicle, a sunlight sensor, a timing module, a rain sensor, a remote communication unit, a positioning data receiving unit, and a key signal detection unit.

[0042] The vehicle should have at least three in-vehicle temperature sensors, located on the dashboard (front core area), rear seats (rear core area), and roof (high temperature accumulation area) to obtain full-area temperature data and achieve full-area coverage detection of cabin temperature. If the number of sensors is insufficient, the cabin temperature environment should be simulated by combining the actual ambient air temperature and light sensor data, and the data should be revised according to the actual calibration values.

[0043] A light sensor collects solar radiation intensity in real time to help determine the intensity of sun exposure; a timing module continues to work after the vehicle is turned off to accurately record the duration of sun exposure in the cabin; and a rain sensor detects rainfall in real time to avoid opening windows or sunroofs in rainy weather.

[0044] In addition, the embodiments of this application can also identify the risk of intrusion into the surrounding environment (such as people approaching or foreign objects touching) in real time through the surrounding safety monitoring module when the system turns on the parking ventilation or active exhaust cooling, and feed the intrusion risk data back to the main control unit (i.e. the main control module) to provide a basis for safety linkage control.

[0045] Therefore, the embodiments of this application collect vehicle cabin data and environmental data through multiple sensors, and identify vehicle intrusion risk data, thereby effectively ensuring the reliability of subsequent operating condition classification and arrival time prediction and revision, and improving the accuracy and efficiency of vehicle cooling.

[0046] In step S102, when the target vehicle receives the user's remote control command, based on the cabin data, environmental data, and intrusion risk data, the preset operating condition classification and arrival time prediction and revision operations are executed in parallel to obtain the corresponding operating condition level and target cooling start time.

[0047] Furthermore, in this embodiment of the application, when the vehicle receives a remote control command from the user, it can analyze and process cabin data, environmental data, and intrusion risk data to perform parallel dual logical operations of operating condition classification and arrival time prediction and revision, thereby obtaining the corresponding operating condition level and target cooling start time (i.e. optimal cooling start time).

[0048] Optionally, in one embodiment of this application, when the target vehicle receives a remote control command from a user, based on cabin data, environmental data, and intrusion risk data, a preset operating condition classification and arrival time prediction and revision operation are executed in parallel to obtain the corresponding operating condition level and target cooling start time. This includes: receiving the user's remote control command using a preset remote communication unit, synchronously calling the user's mobile terminal location data, and detecting the user's remote key radio frequency signal strength and Bluetooth signal strength; transmitting the remote control command, mobile terminal location data, remote key radio frequency signal strength, Bluetooth signal strength, cabin data, environmental data, and intrusion risk data to the main control unit of the target vehicle at a preset frequency, while simultaneously pushing cooling progress information, operating condition status, and estimated arrival time to the user's mobile terminal; determining the highest temperature inside the target vehicle through the main control unit, and determining the corresponding operating condition level of the target vehicle based on the highest temperature inside the vehicle, the duration of cabin exposure to sunlight, rainfall, and / or solar radiation intensity.

[0049] In actual implementation, the remote communication unit is compatible with 4G / 5G and automotive-grade Bluetooth. While the multi-sensor fusion module collects real-time data on the interior of the vehicle cabin and the environment, this embodiment can also receive remote control commands from the user (schedule time, target temperature) through the remote communication unit. It simultaneously calls the GPS / BeiDou positioning data of the user's mobile terminal, detects the radio frequency signal strength and Bluetooth signal strength of the remote key, and transmits all collected data to the main control module at a frequency of ≥1 time / second. At the same time, it pushes the cooling progress, operating status and estimated arrival time to the user terminal, providing accurate data support for operating condition classification and arrival time prediction. The main control module simultaneously receives remote control commands from the user (schedule time, target temperature) and intrusion risk data from the surrounding safety monitoring module, and initiates the dual operation process of operating condition classification logic and arrival time prediction and revision logic in parallel, thereby providing core basis for subsequent cooling strategies.

[0050] It should be noted that the main control module in this application embodiment serves as the core control unit, and has built-in working condition classification algorithm, module linkage control program, remote prediction logic and arrival time intelligent revision algorithm, and is equipped with a historical arrival data storage unit (such as storing data from the past 30 days and previous years under high temperature conditions).

[0051] Regarding the operating condition classification logic, this application embodiment can classify operating condition levels based on the highest temperature T inside the vehicle, the duration of sun exposure t, and rainfall data: (1) When there is no rainfall, any of the following conditions must be met to qualify as Level I (mild): 1) 35℃≤T≤45℃, any exposure time; 2) 45℃<T≤55℃, and t≤1h.

[0052] (2) When there is no rainfall, any of the following conditions must be met to qualify as Level II (moderate): 1) 45℃<T≤55℃, and 1h<t≤3h; 2) T > 55℃ and t ≤ 3h.

[0053] (3) When there is no rainfall, the following conditions must be met for it to be classified as Level III (severe): T > 55℃ and t > 3h.

[0054] It is understandable that the above-mentioned mild, moderate and severe operating conditions can also be classified according to the integral of the in-vehicle temperature over time and the corresponding threshold. In addition, for the classification of operating conditions (1) to (3), light intensity correction can be combined. For low intensity light, no correction is made, and for high intensity light, dynamic correction is made: for example, if the light intensity is strong light (G>500W / ㎡), the basic level is I and it is corrected to level II; if the basic level is II and it is corrected to level III; if the basic level is III and it is maintained at level III (without repeated upgrades).

[0055] (4) When rainfall is detected (rainfall ≥ 0.1 mm / h), it is determined to be a special working condition in rainy weather, and the cooling strategy without opening windows is automatically switched.

[0056] (5) Regardless of whether it is raining or not, if an intrusion risk is detected in the surrounding area, the window-free cooling strategy will be automatically switched.

[0057] Therefore, the embodiments of this application comprehensively determine the operating condition level by relying on multi-point sensors inside the vehicle to obtain the highest temperature and multi-dimensional data of the cabin and environment, thereby getting rid of the limitations of single temperature judgment, accurately distinguishing scenarios such as sun exposure and rain, and providing reliable data basis for subsequent adaptive ventilation and cooling.

[0058] Optionally, in one embodiment of this application, the relative distance between the user and the target vehicle is calculated based on the remote control command and the mobile terminal positioning data, and the basic arrival time is estimated based on the relative distance; the basic arrival time is corrected by the radio frequency signal strength of the remote key to obtain the corresponding initial correction time, and the initial correction time is adjusted by the Bluetooth signal strength and the mobile terminal positioning data to obtain the target arrival time, and the target cooling start time is calculated based on the target arrival time and the preset reservation time.

[0059] Furthermore, regarding the arrival time prediction and revision logic, this application embodiment can calculate the relative distance between the user and the vehicle remotely via mobile phone positioning, and calculate the basic arrival time by combining real-time traffic conditions, speed limits, and historical data; in the mid-range, the prediction range is narrowed through key signal strength grading correction to obtain the initial revised time; in the short-range, the precise arrival time is locked through Bluetooth signal and high-precision mobile phone positioning to obtain the target arrival time; finally, the optimal cooling start time is calculated by combining the scheduled time and the revised arrival time (ensuring that the target temperature is reached when getting into the vehicle, and avoiding energy waste caused by starting in advance).

[0060] Specifically, this application embodiment can remotely call the mobile phone's location and the vehicle's relative position, and calculate the base time by combining road conditions and travel speed. This time can be manually revised by the user or automatically revised based on historical data. The situations that trigger the calculation of navigation time include the following two: First, receive user requests for car use (such as "I need a car, please turn on the cooling").

[0061] Second, set a matching threshold between the location trajectory and the navigation route. When the matching degree exceeds the matching degree threshold, it is determined that the user is going to the vehicle (for example, when the user is walking from the work area to the parking point and the trajectory overlap reaches 10%, it is triggered to determine that the user is going to the vehicle). In the embodiments of this application, the matching threshold can be manually set by the user or manually set to determine that a vehicle is needed after arriving at one or more set positioning points under the route; in addition, the positioning trajectory and navigation route matching determination function can start from parking (to solve the problem of cooling down under sudden temporary vehicle use), or it can start within a certain time limit set by the user (such as 15:00~24:00) (to more balance energy consumption and computing power consumption).

[0062] Secondly, in this embodiment, the mid-range signal strength is corrected by key signal strength gradation (e.g., signal strength of -80~-70dBm corresponds to 100~50 meters, with an estimated arrival time of 40~80 seconds; -70~-60dBm corresponds to 50~20 meters, with an estimated arrival time of 16~40 seconds). Then, in the short-range embodiment, the precise duration is locked via Bluetooth / mobile phone high-precision positioning.

[0063] Therefore, it can be seen that the main control module of this application embodiment combines the arrival time and target temperature determined after the user's scheduled pick-up time or location trajectory is matched with the navigation route, and then retrieves the vehicle owner's historical arrival data (average time under the same distance, time period and road conditions) for optimization and revision, calculates the optimal cooling start time (such as 5-10 minutes in advance for Level I conditions, 10-15 minutes in advance for Level II conditions, and 15-20 minutes in advance for Level III / rainy days) or starts immediately (such as the arrival time determined after the location trajectory is matched with the navigation route is lower than the cooling time required for the current conditions).

[0064] Furthermore, in the embodiments of this application, remote control supports user-defined target temperature (22~26℃) and reservation cycle (single / daily repetition). In the embodiments of this application, the system can automatically predict the start time based on the reservation time and push a "cooling completion reminder" to the user terminal 10 minutes before boarding.

[0065] It is understood that the embodiments of this application can accurately match the time of boarding through remote prediction and linkage control, avoid energy waste and insufficient cooling, and push a reminder before boarding; for scenarios without remote positioning linkage, gradient ventilation can be started in advance by recognizing the key signal, so as to maximize the cooling effect as soon as the car is unlocked.

[0066] Therefore, the embodiments of this application divide the exposure conditions into three levels based on the temperature, duration and light data collected by multiple sensor modules, and adopt a three-layer positioning system with long, medium and short range combined with historical data revision logic to accurately predict the user's arrival time and reduce the error in the arrival time prediction. This allows for precise matching of the cooling start time, avoiding energy waste caused by early start, and reducing the pain point of high temperature when getting into the vehicle due to insufficient cooling, thus achieving just the right amount of cooling.

[0067] In step S103, based on the operating condition level and the target cooling start time, the target vehicle is controlled to perform a preset gradient exhaust operation. After the gradient exhaust operation is completed, the target vehicle is subjected to stratified cooling. The average temperature of the vehicle cabin after stratified cooling is obtained, and the average temperature of the vehicle cabin, the preset internal circulation temperature threshold, and the constant temperature threshold are compared to obtain the corresponding comparison results. The air conditioning operation mode of the target vehicle is switched according to the comparison results.

[0068] Subsequently, the embodiments of this application control the vehicle to perform gradient exhaust based on the operating condition level and the target cooling start time, and perform stratified cooling after the gradient exhaust is completed, so as to obtain the average temperature of the vehicle cabin after stratified cooling, and compare the average temperature of the cabin, the internal circulation temperature threshold and the constant temperature threshold, and switch the vehicle's air conditioning operation mode according to the comparison results.

[0069] Therefore, this application embodiment combines remote prediction and linkage control, and based on the avoidance of surrounding security intrusion risks, integrates a multi-sensor fusion module, a main control module, a gradient exhaust execution module, a layered cooling module, and a low-power energy storage module. Through multi-dimensional sensor data, it accurately identifies the vehicle cabin exposure conditions. The main control module links each module to achieve full-process adaptive control of "condition classification - remote prediction - gradient exhaust - layered cooling - constant temperature maintenance", thereby accurately matching the user's entry time. It takes into account cooling efficiency, energy economy, safety, and user experience, improves the competitiveness of automotive products, and solves the technical pain points of existing automotive cooling devices such as fixed cooling modes, inefficient connection between exhaust and cooling, and lack of adaptability of remote control to operating conditions.

[0070] Optionally, in one embodiment of this application, based on the operating condition level and the target cooling start time, the target vehicle is controlled to perform a preset gradient exhaust operation, and after the gradient exhaust operation is completed, the target vehicle is subjected to layered cooling to obtain the average temperature of the vehicle's cabin after layered cooling. This includes: determining whether the area where the target vehicle is located is a rainy day condition based on rainfall and intrusion risk data, and whether the target vehicle has any surrounding security intrusion risk; when the area where the target vehicle is located is not a rainy day condition, determining the sunroof tilt angle, diagonal window opening size, seat wind speed, air conditioning external circulation wind speed, exhaust duration, full air duct activation status, and the current level average temperature threshold corresponding to the operating condition level, so as to perform the cabin exhaust operation of the corresponding operating condition level based on the sunroof tilt angle, diagonal window opening size, seat wind speed, air conditioning external circulation wind speed, exhaust duration, full air duct activation status, and the current level average temperature threshold.

[0071] It should be noted that when the parking ventilation is activated, the main control module controls the gradient ventilation execution module to perform micro-ventilation: for example, the sunroof is tilted at a 5° angle, and ventilation is performed for 10 seconds every 30 minutes to avoid heat accumulation in the cabin. During the process of activating parking ventilation or actively activating ventilation for cooling, the system receives intrusion risk data from the surrounding security monitoring module. If the intrusion risk threshold is exceeded, this embodiment of the application can actively control the windows and sunroof to close in the parking ventilation scenario, and reopen the windows and sunroof after the intrusion risk is eliminated; in the active ventilation cooling scenario, during the ventilation stage, the windows and sunroof are actively closed, and the system is activated with all air ducts fully open + high-speed ventilation for the front and rear seats + maximum airflow for the air conditioning external circulation, extending the ventilation time to 80 seconds, and forcibly circulating the air to remove residual heat.

[0072] The main control module sends corresponding execution commands to the remote terminal to ensure that users are aware of the current abnormal cooling status. In addition, it sends precise control commands to each execution module and has module status feedback, fault self-checking, and remote push functions. It can push cooling progress, operating condition reminders, fault warnings, and estimated arrival times to ensure the reliability of remote control.

[0073] In the embodiments of this application, such as Figure 2 As shown, the gradient ventilation module includes a sunroof tilting mechanism, a window tiered opening mechanism, a full-duct control unit, and a seat ventilation system. The sunroof supports stepless gradient tilting adjustment (e.g., 0~15°), accelerating hot air exhaust through negative pressure ventilation. The windows can open in multiple stages (e.g., three levels: 0cm, 5cm, and 10cm), prioritizing the opening of the driver's side and right rear diagonal windows to create air convection and effectively reduce the risk of dust, rain, insect intrusion, and theft. The full-duct control unit can simultaneously open all air ducts and vents inside the vehicle, eliminating ventilation dead zones and quickly removing residual heat. The seat ventilation system supports three speed settings (high, medium, and low) or an additional maximum setting, prioritizing front-seat ventilation to quickly expel residual heat accumulated in the seat foam. Furthermore, the exhaust phase is synchronized with the maximum external airflow of the air conditioning system, further improving hot air exchange efficiency.

[0074] As one possible approach, the main control module triggers gradient ventilation based on the operating condition level and optimal cooling start time. When the target vehicle is located in a non-rainy operating condition, i.e., without rainfall, the following operations are performed: 1) Under Level I operating conditions, the sunroof is tilted at 5°, the diagonal windows are opened by 5cm, all air ducts are opened, the front seats are ventilated at low speed, and the air conditioner is in external circulation at low speed. The exhaust time is 30 seconds or the average temperature inside the vehicle drops to the preset temperature A1 (e.g., 45℃) (i.e., the average temperature threshold of the current Level I operating condition). 2) Under Level II operating conditions, the sunroof is tilted at 10°, the diagonal windows are opened by 10cm, all air ducts are opened, the front and rear seat ventilation is at medium speed, the air conditioning external circulation is at medium speed, and the exhaust time is 45 seconds or the average temperature inside the vehicle drops to the preset temperature A2 (e.g., 50℃) (i.e., the average temperature threshold of the current Level II operating condition). 3) Under Level III operating conditions, the sunroof is tilted at 15°, the diagonal windows open by 10cm, the rear window opens by 5cm, all air ducts are open, the front and rear seat ventilation is at high speed, the air conditioning external circulation is at maximum speed, and the exhaust time is 60 seconds or the average temperature inside the vehicle drops to the preset temperature A3 (e.g., 55℃) (i.e., the average temperature threshold of the current Level III operating condition).

[0075] Therefore, the embodiments of this application can match exclusive window opening and ventilation parameter gradient exhaust according to the non-rainy day operating condition level, and form convection efficient heat exhaust through diagonal window opening, thereby reducing dust intrusion while quickly exhausting residual heat in the cabin and improving cooling efficiency.

[0076] Optionally, in one embodiment of this application, when the area where the target vehicle is located is in rainy weather, all windows and sunroof of the target vehicle are closed, the entire air duct is fully opened, and the front and rear seats are ventilated at a preset wind speed. The air conditioner is set to the maximum external air volume, the exhaust time is extended to a preset time or the average temperature of the cabin is reduced to a first average temperature threshold, and the residual heat is discharged through forced airflow circulation.

[0077] When the vehicle is in a rainy environment, a cooling strategy without opening windows is implemented. This involves closing the windows and sunroof, activating all air ducts, setting the front and rear seat ventilation to high speed, and setting the air conditioning to maximum external circulation. The exhaust time is extended to 80 seconds (the preset duration) or the average interior temperature is reduced to a preset temperature A4 (e.g., 50°C) (the first average temperature threshold). Excess heat is then expelled through forced airflow circulation.

[0078] Therefore, the embodiments of this application can automatically close the car windows in rainy weather to prevent rainwater from entering, and rely on the forced airflow circulation of the whole vehicle's air ducts and seat ventilation to dissipate heat, extend the ventilation time to ensure heat dissipation effect, thereby taking into account both the ventilation needs of driving in rainy weather and the vehicle protection requirements.

[0079] Optionally, in one embodiment of this application, when there is a risk of intrusion into the surrounding security of the target vehicle, all windows and sunroof of the target vehicle are closed, the entire air duct is fully opened, and the front and rear seats are ventilated at a preset wind speed. The air conditioner is set to the maximum external air volume, the exhaust time is extended to a preset time or the average temperature of the cabin is reduced to the current level average temperature threshold corresponding to the corresponding operating condition level, and the residual heat is discharged through forced airflow circulation.

[0080] In actual implementation, when the risk of intrusion into the surrounding security of the vehicle is identified, the embodiment of this application can implement a windowless cooling strategy, that is, close the windows and sunroof, start the full air ducts, activate the high wind speed of the front and rear seat ventilation (i.e., the preset wind speed), and the maximum air volume of the air conditioner external circulation, extend the exhaust time to 80 seconds or reduce the average temperature inside the vehicle to the preset temperature A1 (under Level I conditions) or A2 (under Level II conditions) or A3 (under Level III conditions) (i.e. the average temperature threshold corresponding to the corresponding operating condition level), and exhaust the residual heat through forced airflow circulation.

[0081] If the vehicle is already in the corresponding (1)~(3) ventilation logic, and rain or surrounding security intrusion risk is detected, it will automatically switch to the no-window cooling strategy and revise the corresponding ventilation duration, such as directly reducing the ventilation duration of the ventilation strategy that has already been implemented or reducing the average temperature inside the vehicle to the preset temperature A4 (e.g., 50℃). The ventilation time or preset temperature A1~A4 corresponding to different operating conditions shall be based on the actual calibration of the vehicle manufacturer in combination with the vehicle's spatial structure, ventilation capacity, heat insulation capacity and other comprehensive factors.

[0082] Therefore, the embodiments of this application can automatically close the windows to prevent theft when a risk of intrusion is detected in the surrounding area, and rely on the full air duct and seat ventilation to force circulation and dissipate heat, extending the exhaust time to ensure the cooling effect, thereby ensuring the safety of the vehicle and passengers while ventilating and dissipating heat.

[0083] Optionally, in one embodiment of this application, after the gradient exhaust operation is completed, the main control unit controls the preset multi-channel expansion valve to adjust the refrigerant flow of the front branch, so that the refrigerant flow ratio between the front and rear branches meets the first preset ratio requirement, and the air conditioner is adjusted to operate with external circulation, maximum air volume, and minimum temperature. When the average temperature of the cabin drops to the second average temperature threshold, all windows and sunroof of the target vehicle are actively closed.

[0084] In addition, such as Figure 2 As shown, the layered cooling module in this embodiment consists of an air conditioning compressor, a multi-channel expansion valve, and layered air outlet ducts. The multi-channel expansion valve has two independent air outlet branches for the front and rear rows, and the refrigerant flow rate of each branch can be independently adjusted by the main control module. This embodiment also includes a low-power energy storage module: composed of energy storage cells and a charge / discharge protection circuit, electrically connected to the vehicle battery, providing stable power support for the micro-ventilation function in the parking dormant state and the standby of the multi-sensor fusion module; for example, when the vehicle is in a parking dormant state, the low-power energy storage module draws power from the vehicle battery to power the micro-ventilation (sunroof 5° tilt) of the multi-sensor fusion module and the gradient ventilation execution module, ventilating for 10 seconds every 30 minutes to prevent heat accumulation in the cabin.

[0085] After exhaust is complete, the main control module can activate the tiered cooling module, controlling the multi-channel expansion valve to ensure that the refrigerant flow in the front branch is 2-3 times that in the rear (i.e., the first preset ratio requirement), thus prioritizing cooling of the front row and meeting the core experience needs of passengers. The air conditioning is set to external circulation, maximum airflow, and minimum temperature (e.g., 16℃). When the average interior temperature drops to a preset temperature B (e.g., 45℃) (i.e., the second average temperature threshold), the windows and sunroof are automatically closed to gradually balance the refrigerant flow between the front and rear rows, resolving the problem of excessive temperature difference between the front and rear rows in traditional cooling modes. In rainy conditions, in addition to the above operations, the air conditioning can simultaneously activate the dehumidification mode, combining cooling and dehumidification.

[0086] Furthermore, in cases where mobile phone positioning is not enabled and it is impossible to accurately determine the arrival at the vehicle from a distance, and in this application embodiment, when the vehicle recognizes the remote key signal (sensing the key or Bluetooth signal) during that time period, the main control module executes a gradient exhaust strategy according to the corresponding operating condition or a higher-level operating condition, thereby providing the maximum possible cooling experience.

[0087] Therefore, the embodiments of this application utilize a multi-channel expansion valve to distribute refrigerant, thereby achieving priority cooling for the front row and rapid heat dissipation through a large external airflow. Once the temperature reaches the target level, the windows are closed to lock in the temperature, effectively improving the user's driving experience and the overall vehicle cooling efficiency.

[0088] It is understood that the embodiments of this application achieve accurate classification of the three dimensions (temperature, duration, and light intensity) of the exposure conditions through multi-sensor fusion, and take into account rainy conditions and safety intrusion risk conditions, so that the gradient exhaust and layered cooling strategies are dynamically adjusted according to the conditions, thereby improving cooling efficiency and reducing energy consumption.

[0089] Optionally, in one embodiment of this application, the average temperature of the vehicle cabin, a preset internal circulation temperature threshold, and a constant temperature threshold are compared to obtain a corresponding comparison result. The air conditioning operation mode of the target vehicle is switched according to the comparison result, including: when the average temperature of the vehicle cabin drops to the internal circulation temperature threshold, the air conditioning is switched to internal circulation through the main control unit, and the multi-channel expansion valve is adjusted so that the refrigerant flow ratio between the front and rear rows meets the second preset ratio requirement, while the air conditioning air volume is reduced to a preset level.

[0090] In actual operation, when the average temperature inside the vehicle drops to a preset lower temperature C (such as 30℃) (i.e., the internal circulation temperature threshold), the main control module switches the air conditioning to internal circulation, adjusts the multi-channel expansion valve to make the front and rear refrigerant flow ratio 1:1 (i.e., the second preset ratio requirement), and at the same time reduces the air conditioning fan speed to level 3-4 (i.e., the preset level).

[0091] Therefore, the embodiments of this application can switch the air conditioning to internal circulation after the vehicle temperature reaches the standard, thereby reducing the entry of external hot air, so as to evenly distribute the refrigerant in the front and rear, reduce the air volume, reduce the energy consumption of the air conditioning, steadily maintain the coolness of the vehicle interior, and improve the fuel economy of the vehicle's range.

[0092] Optionally, in one embodiment of this application, when the average temperature of the vehicle cabin drops to the constant temperature threshold, the air conditioner is switched to constant temperature mode, the air conditioner temperature is set to the target temperature, and all windows, sunroof, air ducts and front and rear seat ventilation of the target vehicle are closed, and the air conditioner is operated at a preset power.

[0093] When the interior temperature drops to near the preset temperature D (e.g., 24°C) (i.e., the constant temperature threshold), this embodiment can control the vehicle to enter constant temperature mode, set the air conditioning temperature to 22~24°C (i.e., the target temperature), shut down the gradient exhaust module (including the sunroof, windows, seat ventilation, and air duct linkage shutdown), and only retain the low-power operation of the air conditioning system to maintain constant temperature.

[0094] It should be noted that after the vehicle is started, the embodiment of this application can dynamically adjust the cooling strategy based on whether the cooling strategy for each operating condition has been completed. If the ventilation stage is not completed, it is recommended that the user or the system automatically set the following to quickly achieve dynamic cooling: "open the rear side windows of the driver and passenger seats by 10cm + turn on the air conditioner to the maximum airflow & the lowest cooling temperature & non-blowing mode & external circulation + high-level seat ventilation". Then, the subsequent stages can be executed or the system can be executed directly according to the user's settings for the air conditioner and seat ventilation. If the stratified cooling stage is not completed, it is recommended that the user or the system automatically execute the incomplete stage or the system can be executed directly according to the user's settings for the air conditioner and seat ventilation.

[0095] Therefore, the embodiments of this application are based on the collaborative work of a multi-sensor fusion module, a surrounding safety monitoring module, a main control module, a gradient exhaust execution module, a layered cooling module, and a low-power energy storage module to achieve rapid cooling of the vehicle cabin and adaptability to all scenarios. Adaptive linkage control is achieved through working condition classification. The core of the embodiments of this application lies in realizing the full-process adaptive linkage of "working condition classification - remote prediction - gradient exhaust - layered cooling - constant temperature maintenance". At the same time, through three-level positioning of far, medium and short range and historical data revision, the user's arrival time is accurately matched, covering all scenarios from unlocking to starting, driving and parking hibernation, taking into account both adaptability and specificity.

[0096] The execution logic of this application will be explained below with reference to the accompanying drawings.

[0097] Figure 3 This is a schematic diagram illustrating the execution logic of the multi-condition adaptive cooling method for the vehicle cabin described in this application. Figure 3 As shown, the execution process of the multi-condition adaptive cooling method for the vehicle cabin in this application is as follows: S301: Real-time acquisition of data on the interior of the vehicle cabin and the environment, detection of the radio frequency signal strength of the remote key and the Bluetooth signal strength. All data is transmitted to the main control module at a preset frequency. The main control module simultaneously receives the user's remote control commands and the intrusion risk data of the surrounding security monitoring module, and initiates the dual operation process of working condition classification logic and arrival time prediction and revision logic in parallel, providing the core basis for subsequent cooling strategies. S302: The main control module triggers the execution of gradient exhaust based on the operating condition level and the optimal cooling start time; S303: After exhaust is completed, the main control module starts the layered refrigeration block to control the multi-channel expansion valve so that the refrigerant flow in the front branch is 2 to 3 times that in the rear. The air conditioner is set to external circulation, maximum air volume, and minimum temperature. When the average temperature inside the vehicle drops to the preset temperature B, the windows and sunroof are automatically closed. In rainy weather, in addition to the above operations, the air conditioner can simultaneously turn on the dehumidification mode to take into account both cooling and dehumidification. S304: When the average temperature inside the vehicle drops to the preset lower temperature C, the main control module switches the air conditioning to internal circulation, adjusts the multi-channel expansion valve to make the refrigerant flow ratio between the front and rear exhaust 1:1, and at the same time reduces the air conditioning fan speed to level 3-4. S305: When the interior temperature drops to near the preset temperature D, the vehicle enters constant temperature mode, the air conditioning temperature is set to 22~24℃, the gradient exhaust module is turned off (including sunroof, windows, seat ventilation, and air ducts), and only the air conditioning system is kept running at low power to maintain constant temperature.

[0098] According to the vehicle cabin multi-condition adaptive cooling method proposed in this application, the vehicle cabin data, environmental data, and intrusion risk data of the target vehicle are collected. When the target vehicle receives a remote control command from the user, based on the cabin data, environmental data, and intrusion risk data, preset operating condition classification and arrival time prediction and revision operations are executed in parallel to obtain the corresponding operating condition level and target cooling start time. Based on the operating condition level and target cooling start time, the target vehicle is controlled to perform a preset gradient exhaust operation, and after the gradient exhaust operation is completed, the target vehicle is subjected to stratified cooling. The average cabin temperature of the target vehicle after stratified cooling is obtained, and compared with the average cabin temperature, a preset internal circulation temperature threshold, and a constant temperature threshold to obtain the corresponding comparison result. The air conditioning operation mode of the target vehicle is switched according to the comparison result. Thus, the embodiments of this application accurately identify operating conditions through multi-sensor fusion, realize the coordinated control of gradient exhaust and stratified cooling, and combine a remote prediction linkage mechanism with surrounding security intrusion risk avoidance logic to achieve seamless cooling in all scenarios.

[0099] Secondly, the multi-condition adaptive cooling device for the vehicle cabin proposed according to the embodiments of this application is described with reference to the accompanying drawings.

[0100] Figure 4 This is a block diagram of the multi-condition adaptive cooling device for the vehicle cabin according to an embodiment of this application.

[0101] like Figure 4 As shown, the multi-condition adaptive cooling device 10 for the vehicle cabin includes: a data acquisition module 100, a dual logic operation module 200, and an adaptive cooling module 300.

[0102] The acquisition module 100 is used to collect cabin data, environmental data, and intrusion risk data of the target vehicle.

[0103] The dual logic operation module 200 is used to execute preset operating condition classification and arrival time prediction and revision operations in parallel based on cabin data, environmental data and intrusion risk data when the target vehicle receives the user's remote control command, so as to obtain the corresponding operating condition level and target cooling start time.

[0104] The adaptive cooling module 300 is used to control the target vehicle to perform a preset gradient exhaust operation based on the operating condition level and the target cooling start time. After the gradient exhaust operation is completed, the target vehicle is stratified for cooling. The module obtains the average temperature of the vehicle cabin after stratified cooling and compares it with the average temperature of the cabin, the preset internal circulation temperature threshold, and the constant temperature threshold to obtain the corresponding comparison results. Based on the comparison results, the module switches the air conditioning operation mode of the target vehicle.

[0105] Optionally, in one embodiment of this application, the dual logic operation module 200 includes: a level determination unit, used to determine the highest temperature inside the target vehicle through the main control unit, and to determine the operating condition level of the target vehicle by combining the cabin data and environmental data.

[0106] Optionally, in one embodiment of this application, the dual logic operation module 200 further includes an estimation unit and a correction unit.

[0107] The estimation unit is used to calculate the relative distance between the user and the target vehicle based on remote control commands and the user's mobile terminal positioning data, in order to estimate the base arrival time.

[0108] The correction unit is used to correct the base arrival time by using the radio frequency signal strength of the user's remote key, and to adjust the corrected base arrival time by using the user's Bluetooth signal strength and mobile terminal positioning data. It also calculates the target cooling start time by combining the preset appointment time.

[0109] Optionally, in one embodiment of this application, the adaptive cooling module 300 includes: a non-rainy day ventilation unit, used to determine the sunroof tilt angle, diagonal window opening size, seat wind speed, air conditioning external circulation wind speed, ventilation duration, full air duct activation status and current level average temperature threshold corresponding to the operating condition level when the target vehicle is located in a non-rainy day operating condition, so as to perform the cabin ventilation operation of the corresponding operating condition level.

[0110] Optionally, in one embodiment of this application, the adaptive cooling module 300 further includes: a rainy day ventilation unit, used to close all windows of the target vehicle, activate all air ducts to open fully, and ventilate the front and rear seats at a preset wind speed, set the air conditioner external circulation to the maximum air volume, extend the ventilation time to a preset time or reduce the average temperature of the cabin to a first average temperature threshold when the area where the target vehicle is located is in rainy weather, and discharge the residual heat through forced airflow circulation.

[0111] Optionally, in one embodiment of this application, the adaptive cooling module 300 further includes: a safety intrusion exhaust unit, used to close all windows of the target vehicle, activate all air ducts to be fully open, and ventilate the front and rear seats at a preset wind speed, set the air conditioner to the maximum external air volume, extend the exhaust time to a preset time or reduce the average temperature of the cabin to the current level average temperature threshold corresponding to the corresponding operating condition level when there is a risk of surrounding safety intrusion into the target vehicle, and exhaust the residual heat through forced airflow circulation.

[0112] Optionally, in one embodiment of this application, the adaptive cooling module 300 further includes: a layered cooling unit, used to control a preset multi-channel expansion valve to adjust the refrigerant flow rate of the front branch, so that the refrigerant flow rate ratio between the front and rear branches meets the first preset ratio requirement, and to operate the air conditioner with external circulation, maximum air volume, and minimum temperature, and to close all windows when the average temperature of the vehicle cabin drops to the second average temperature threshold.

[0113] Optionally, in one embodiment of this application, the adaptive cooling module 300 further includes: a cooling regulation transition unit, used to switch the air conditioner to internal circulation through the main control unit when the average temperature of the vehicle cabin drops to the internal circulation temperature threshold, and to adjust the multi-channel expansion valve so that the ratio of the front and rear refrigerant flow meets the second preset ratio requirement, while reducing the air conditioning air volume to a preset level.

[0114] Optionally, in one embodiment of this application, the adaptive cooling module 300 further includes: a constant temperature mode switching unit, used to switch the air conditioner to constant temperature mode when the average temperature of the vehicle cabin drops to the constant temperature threshold, set the air conditioner temperature to the target temperature, and close all windows, all air ducts and front and rear seat ventilation of the target vehicle to operate the air conditioner at a preset power.

[0115] It should be noted that the foregoing explanation of the multi-condition adaptive cooling method embodiment for the vehicle cabin also applies to the multi-condition adaptive cooling device for the vehicle cabin in this embodiment, and will not be repeated here.

[0116] The vehicle cabin multi-condition adaptive cooling device proposed in this application includes a data acquisition module 100 for acquiring cabin data, environmental data, and intrusion risk data of the target vehicle; a dual logic operation module 200 for, when the target vehicle receives a remote control command from a user, performing preset condition classification and arrival time prediction and revision operations in parallel based on cabin data, environmental data, and intrusion risk data to obtain the corresponding condition level and target cooling start time; and an adaptive cooling module 300 for, based on the condition level and target cooling start time, controlling the target vehicle to perform preset gradient exhaust operation, and performing stratified cooling on the target vehicle after the gradient exhaust operation is completed, obtaining the average cabin temperature of the target vehicle after stratified cooling, and comparing the average cabin temperature with a preset internal circulation temperature threshold and a constant temperature threshold to obtain the corresponding comparison result, and switching the air conditioning operation mode of the target vehicle according to the comparison result. Thus, the embodiments of this application accurately identify the operating conditions through multi-sensor fusion, realize the coordinated control of gradient exhaust and stratified cooling, and combine a remote prediction linkage mechanism with surrounding security intrusion risk avoidance logic to achieve seamless cooling across all scenarios.

[0117] Figure 5 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include: The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0118] When the processor 502 executes the program, it implements the multi-condition adaptive cooling method for the vehicle cabin provided in the above embodiments.

[0119] Furthermore, the vehicle also includes: Communication interface 503 is used for communication between memory 501 and processor 502.

[0120] The memory 501 is used to store computer programs that can run on the processor 502.

[0121] Memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0122] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0123] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0124] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0125] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described multi-condition adaptive cooling method for vehicle cabins.

[0126] This application also provides a computer program product, including a computer program, which, when executed, is used to implement the above-described multi-condition adaptive cooling method for vehicle cabins.

[0127] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0128] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0129] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0130] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0131] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0132] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0133] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0134] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A multi-condition adaptive cooling method for vehicle cabins, characterized in that, Includes the following steps: Collect cabin data, environmental data, and intrusion risk data of the target vehicle; When the target vehicle receives the user's remote control command, based on the cabin data, the environmental data, and the intrusion risk data, the preset working condition classification and arrival time prediction and revision operations are executed in parallel to obtain the corresponding working condition level and target cooling start time. Based on the operating condition level and the target cooling start time, the target vehicle is controlled to perform a preset gradient exhaust operation. After the gradient exhaust operation is completed, the target vehicle is subjected to stratified cooling. The average temperature of the vehicle cabin after stratified cooling is obtained, and the average temperature of the vehicle cabin, the preset internal circulation temperature threshold, and the constant temperature threshold are compared to obtain the corresponding comparison results. The air conditioning operation mode of the target vehicle is switched according to the comparison results.

2. The method according to claim 1, characterized in that, Based on the cabin data, the environmental data, and the intrusion risk data, the system performs pre-set operating condition classification and arrival time prediction and revision operations in parallel to obtain the corresponding operating condition level and target cooling start time, including: The highest interior temperature of the target vehicle is determined by the main control unit, and the operating condition level of the target vehicle is determined by combining the cabin data and the environmental data.

3. The method according to claim 2, characterized in that, The method of performing preset operating condition classification and arrival time prediction and revision operations in parallel based on the cabin data, environmental data, and intrusion risk data to obtain the corresponding operating condition level and target cooling start time also includes: Based on the remote control command and the user's mobile terminal positioning data, the relative distance between the user and the target vehicle is calculated to estimate the basic arrival time; The base arrival time is corrected by the radio frequency signal strength of the user's remote key, and the corrected base arrival time is adjusted using the user's Bluetooth signal strength and the mobile terminal positioning data. Combined with the preset reservation time, the target cooling start time is calculated.

4. The method according to claim 3, characterized in that, The step of controlling the target vehicle to perform a preset gradient exhaust operation based on the operating condition level and the target cooling start time includes: When the target vehicle is located in a non-rainy weather condition, determine the sunroof tilt angle, diagonal window opening size, seat wind speed, air conditioning external circulation wind speed, exhaust duration, full air duct activation status, and current level average temperature threshold corresponding to the condition level, so as to perform the corresponding cabin exhaust operation.

5. The method according to claim 4, characterized in that, The method of controlling the target vehicle to perform a preset gradient exhaust operation based on the operating condition level and the target cooling start time further includes: When the target vehicle is located in a rainy weather condition, all windows of the target vehicle are closed, all air ducts are fully opened, and the front and rear seats are ventilated at a preset wind speed. The air conditioner is set to the maximum external air volume, and the exhaust time is extended to a preset time or the average temperature of the cabin is reduced to a first average temperature threshold. Excess heat is then discharged through forced airflow circulation.

6. The method according to claim 5, characterized in that, The method of controlling the target vehicle to perform a preset gradient exhaust operation based on the operating condition level and the target cooling start time further includes: When the target vehicle is at risk of intrusion into the surrounding area, all windows of the target vehicle are closed, the entire air duct is fully opened, the front and rear seats are ventilated at the preset wind speed, the air conditioner is set to maximum external airflow, the exhaust time is extended to the preset time or the average temperature of the cabin is reduced to the current level average temperature threshold corresponding to the corresponding operating condition level, and the residual heat is discharged through forced airflow circulation.

7. The method according to claim 6, characterized in that, The step of performing stratified cooling on the target vehicle and obtaining the average temperature of the vehicle's cabin after stratified cooling includes: The pre-set multi-channel expansion valve is used to adjust the refrigerant flow rate of the front branch, so that the refrigerant flow rate ratio between the front and rear branches meets the first preset ratio requirement. The air conditioner is operated with external circulation, maximum air volume, and minimum temperature. When the average temperature of the vehicle cabin drops to the second average temperature threshold, all windows are closed.

8. The method according to claim 7, characterized in that, The process of comparing the average cabin temperature, a preset internal circulation temperature threshold, and a constant temperature threshold to obtain a corresponding comparison result, and then switching the air conditioning operation mode of the target vehicle based on the comparison result, includes: When the average temperature of the vehicle cabin drops to the internal circulation temperature threshold, the main control unit switches the air conditioner to internal circulation and adjusts the multi-channel expansion valve to ensure that the refrigerant flow ratio between the front and rear outlets meets the second preset ratio requirement, while reducing the air conditioning fan speed to a preset level.

9. The method according to claim 8, characterized in that, The step of comparing the average cabin temperature, a preset internal circulation temperature threshold, and a constant temperature threshold to obtain a corresponding comparison result, and switching the air conditioning operation mode of the target vehicle based on the comparison result, further includes: When the average temperature of the vehicle cabin drops to the constant temperature threshold, the air conditioner is switched to constant temperature mode, the air conditioner temperature is set to the target temperature, and all windows, all air ducts and the front and rear seat ventilation of the target vehicle are closed, and the air conditioner is operated at a preset power.

10. A multi-condition adaptive cooling device for vehicle cabins, characterized in that, include: The data acquisition module is used to collect cabin data, environmental data, and intrusion risk data of the target vehicle. The dual logic operation module is used to perform preset working condition classification and arrival time prediction and revision operations in parallel based on the cabin data, the environmental data and the intrusion risk data when the target vehicle receives the user's remote control command, so as to obtain the corresponding working condition level and target cooling start time. An adaptive cooling module is used to control the target vehicle to perform a preset gradient exhaust operation based on the operating condition level and the target cooling start time, and to perform stratified cooling on the target vehicle after the gradient exhaust operation is completed, to obtain the average temperature of the vehicle cabin after stratified cooling, and to compare the average temperature of the vehicle cabin with the preset internal circulation temperature threshold and constant temperature threshold to obtain the corresponding comparison result, and to switch the air conditioning operation mode of the target vehicle according to the comparison result.

11. A vehicle, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the multi-condition adaptive cooling method for vehicle cabins as described in any one of claims 1-9.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the multi-condition adaptive cooling method for the vehicle cabin as described in any one of claims 1-9.

13. A computer program product, comprising a computer program, characterized in that, The computer program is executed to implement the multi-condition adaptive cooling method for vehicle cabins as described in any one of claims 1-9.

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