Control method of vehicle air conditioning system and related device

Abstract

The application provides a control method of a vehicle-mounted air conditioning system and related devices, which are applied to a cabin domain controller of a first vehicle. The method comprises the following steps: obtaining driving environment data of the first vehicle, and determining whether a target road is congested based on the driving environment data; if not, dynamically controlling an air circulation mode of the first vehicle according to the driving environment data; if yes, obtaining a reference image of the target road, determining a plurality of reference vehicles from the reference image, determining a second vehicle whose vehicle type is a fuel automobile from the reference vehicles, determining an air pollution parameter and a weight coefficient corresponding to the second vehicle, and then calculating an air pollution index, and when the air pollution index is greater than a preset threshold, controlling the air circulation mode of the first vehicle to be an internal circulation mode. In this way, the accuracy of air quality detection of a front region of the first vehicle is improved, so that the best switching time can be accurately located, and the comfort and safety of a user during driving are improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of joint control of vehicle domain controller subsystem and vehicle air conditioning subsystem in new energy industry, and particularly relates to a control method of a vehicle air conditioning system and related devices. BACKGROUND

[0002] With the rapid development of economy and automobile industry, the air circulation function of the vehicle air conditioning system can ensure the physical and mental health of the people in the vehicle and further improve the driving comfort, and therefore gradually becomes one of the selling points of the vehicle. However, a part of the traditional vehicle still needs the driver to manually switch the air circulation mode, which has a safety hazard; another part of the vehicle has the function of automatically switching the air circulation mode, but cannot accurately calculate the data to locate the best switching time, which may cause the increase of power consumption due to the early switching or cause the user to have a poor driving experience due to the late switching. In the traffic jam scene, the content of harmful gases in the exhaust gas emitted by the automobile idling will greatly increase, and due to the measurement error and calculation error in the prior art, the finally located switching time is not accurate enough, which easily leads to the untimely switching of the air circulation mode and affects the driving safety. SUMMARY

[0003] The embodiments of the application provide a control method of a vehicle air conditioning system and related devices, so as to realize more refined control of the vehicle air conditioning system, improve the accuracy of locating the best switching time of the air circulation mode, and improve the comfort and safety of the people in the vehicle during driving.

[0004] In a first aspect, the embodiments of the application provide a control method of a vehicle air conditioning system, applied to a cabin domain controller in an intelligent driving system of a first vehicle, the intelligent driving system comprising the cabin domain controller and a sensor module, and the method comprises:

[0005] obtaining driving environment data of the first vehicle through the sensor module, the driving environment data comprising road congestion data of a target road where the first vehicle is located, the road congestion data being used to indicate a congestion state or a non-congestion state;

[0006] if the road congestion data is used to indicate the congestion state, performing the following operation:

[0007] obtaining a reference image frame of the target road, the reference image frame comprising a plurality of reference vehicles, the reference distance corresponding to the reference vehicle being less than or equal to a preset distance, the reference distance being a distance between the tail of the reference vehicle and the head of the first vehicle;

[0008] determine at least one second vehicle from the plurality of reference vehicles according to the reference image, the at least one second vehicle corresponding to at least one reference distance, and a vehicle type of the second vehicle being a fuel automobile;

[0009] determine at least one air pollution parameter corresponding to the at least one second vehicle, the air pollution parameter being used to indicate a pollution degree of exhaust emitted by the second vehicle to air;

[0010] determine at least one weight coefficient corresponding to the at least one second vehicle according to the at least one reference distance;

[0011] calculate an air pollution index according to the at least one weight coefficient and the at least one air pollution parameter, the air pollution index being used to indicate an air quality of a front region of the first vehicle;

[0012] when the air pollution index is greater than a preset threshold, control an air circulation mode of the first vehicle to be an internal circulation mode;

[0013] if the road congestion data is used to indicate the non-congestion state, control the air circulation mode of the first vehicle to be the internal circulation mode or an external circulation mode according to the driving environment data.

[0014] In a second aspect, an embodiment of the present application provides a control device of a vehicle-mounted air conditioning system, applied to a cabin domain controller in an intelligent driving system of a first vehicle, the intelligent driving system comprising the cabin domain controller and a sensor module, and the device comprising:

[0015] an acquisition unit, configured to acquire driving environment data of the first vehicle through the sensor module, the driving environment data comprising road congestion data of a target road where the first vehicle is located, the road congestion data being used to indicate a congestion state or a non-congestion state;

[0016] an execution unit, configured to perform the following operation if the road congestion data is used to indicate the congestion state:

[0017] acquire a reference image of the target road, the reference image comprising a plurality of reference vehicles, a reference distance corresponding to the reference vehicle being less than or equal to a preset distance, the reference distance being a distance between a tail of the reference vehicle and a head of the first vehicle;

[0018] determine at least one second vehicle from the plurality of reference vehicles according to the reference image, the at least one second vehicle corresponding to at least one reference distance, and a vehicle type of the second vehicle being a fuel automobile;

[0019] determining at least one air pollution parameter corresponding to each of the at least one second vehicle, the air pollution parameter being used to indicate a pollution degree of exhaust emitted by the second vehicle to air;

[0020] determining at least one weight coefficient corresponding to each of the at least one second vehicle according to the at least one reference distance;

[0021] calculating an air pollution index according to the at least one weight coefficient and the at least one air pollution parameter, the air pollution index being used to indicate an air quality of a front region of the first vehicle;

[0022] controlling the air circulation mode of the first vehicle to be an inner circulation mode when the air pollution index is greater than a preset threshold value;

[0023] a control unit, configured to control the air circulation mode of the first vehicle to be an inner circulation mode or an outer circulation mode according to the driving environment data if the road congestion data indicates the non-congestion state.

[0024] In a third aspect, an electronic device is provided, which includes a processor, a memory, and one or more programs stored in the memory and configured to be executed by the processor. The program includes instructions for performing the steps in the first aspect of the embodiments.

[0025] In a fourth aspect, a computer-readable storage medium is provided, which stores a computer program / instructions. The computer program / instructions, when executed by a processor, implement the steps in the first aspect of the embodiments.

[0026] In a fifth aspect, a computer program product is provided, which includes a non-transitory computer-readable storage medium storing a computer program. The computer program is operable to cause a computer to perform some or all of the steps described in the first aspect of the embodiments.

[0027] It can be seen that in the embodiment of the present application, the cabin domain controller obtains the driving environment data of the first vehicle through the sensor module, judges whether the target road where the first vehicle is located is in a congested state based on the driving environment data, if not, dynamically controls the air circulation mode of the first vehicle according to the driving environment data, if yes, obtains the reference image picture of the target road, determines the reference vehicle therein, then determines the second vehicle whose vehicle type is a fuel automobile from the reference vehicle, and then determines the air pollution parameter and the weight coefficient corresponding to the second vehicle one by one, calculates the air pollution index through the weight coefficient and the air pollution parameter, and controls the air circulation mode of the first vehicle to be the internal circulation mode when the air pollution index is greater than the preset threshold. In this way, the cabin domain controller distinguishes the traffic jam scene and the non-traffic jam scene through scene recognition, and carries out more refined control on the air conditioning system in the important scene of traffic jam, improves the accuracy of air quality detection of the vehicle head region of the first vehicle, so as to accurately locate the best switching time, and improves the comfort and safety of the people in the vehicle during driving. BRIEF DESCRIPTION OF DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0029] Figure 1 is a structural block diagram of an intelligent driving system provided by an embodiment of the present application;

[0030] Figure 2 is a flowchart of a control method of a vehicle air conditioning system provided by an embodiment of the present application;

[0031] Figure 3 is an example diagram in a road congestion state provided by an embodiment of the present application;

[0032] Figure 4a is a functional unit composition block diagram of a control device of a vehicle air conditioning system provided by an embodiment of the present application;

[0033] Figure 4b is a functional unit composition block diagram of another control device of a vehicle air conditioning system provided by an embodiment of the present application;

[0034] Figure 5 is a structural block diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0035] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0036] The terms "first", "second", etc. in the specification and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed or can optionally include other steps or units inherent to the process, method, product or device.

[0037] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor does it necessarily refer to a separate or alternative embodiment. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with each other.

[0038] The related terms involved in the embodiments of the present application are introduced below.

[0039] Internal circulation: one of the air circulation modes of the vehicle cabin, in which mode, the air exchange passage between the inside and outside of the vehicle is closed, and the inhaled air flow also only comes from the inside of the vehicle, forming the circulation of the air flow inside the vehicle, which can effectively block the inflow of the dirty air outside the vehicle into the vehicle; at the same time, the internal circulation mode can improve the refrigeration effect of the air conditioner and has a good heat preservation effect.

[0040] External circulation: one of the air circulation modes of the vehicle cabin, in which mode, the air exchange passage between the inside and outside of the vehicle is opened, and the air flow is inhaled from the front of the vehicle, so that the air flow enters the vehicle, thereby playing a role of supplementing fresh air, and when there is an odor or the oxygen content in the vehicle is less, opening the external circulation can effectively solve the above problems.

[0041] Please refer to Figure 1 , Figure 1 is a structural block diagram of an intelligent driving system provided by the embodiments of the present application, as shown in Figure 1As shown, the intelligent driving system 10 comprises a cabin domain controller 11 and a sensor module 12, and the cabin domain controller 11 is connected to the sensor module 12. The cabin domain controller 11 is configured to receive various data collected by the sensor module 12, and to process and analyze the collected data, so as to realize fine control of the vehicle air conditioning subsystem. The sensor module 12 comprises external sensors for detecting first vehicle external scene information and internal sensors for detecting various data in the target vehicle, i.e., in the cockpit. The external sensors can include at least one vehicle-mounted camera mounted on the front end, side and rear end of the vehicle, an outdoor temperature sensor, a global positioning system (GPS) receiver, etc. The internal sensors can include an indoor temperature sensor and a camera for collecting indoor image frames, etc.

[0042] Next, a control method of a vehicle air conditioning system provided by an embodiment of the present application is introduced.

[0043] Please refer to Figure 2 , Figure 2 is a flowchart of a control method of a vehicle air conditioning system provided by an embodiment of the present application. The method is applied to a cabin domain controller 11 as shown in Figure 1 The method comprises the following steps.

[0044] In step 201, driving environment data of the first vehicle is obtained by the sensor module, and the driving environment data comprises road congestion data of a target road where the first vehicle is located, and the road congestion data is used to indicate a congestion state or a non-congestion state.

[0045] If the road congestion data is used to indicate the congestion state, steps 202 to 207 are executed.

[0046] If the road congestion data is used to indicate the non-congestion state, step 208 is executed.

[0047] In step 202, a reference image frame of the target road is obtained, and the reference image frame comprises a plurality of reference vehicles.

[0048] The reference distance between the tail of the reference vehicle and the head of the first vehicle is less than or equal to a preset distance, and the preset distance is a limit distance at which a vehicle can absorb exhaust gas of other vehicles in an external circulation mode based on historical experience data statistical analysis. For example, please refer to Figure 3 , Figure 3 is an example diagram in a road congestion state provided by an embodiment of the present application, as Figure 3As shown, the reference distances between the first vehicle 301 and the vehicle 302, the vehicle 303, and the vehicle 304 are d1, d2, and d3 respectively, and a preset distance is d. Assuming that d1 and d3 are both greater than d, and d2 is less than or equal to d, the vehicle 303 can be determined as the reference vehicle. The cabin domain controller can obtain the reference distances between the first vehicle and other vehicles through the ranging sensor in the sensor module, or calculate the reference distances between the first vehicle and other vehicles according to the picture distance in the reference image and the zoom ratio of the picture to the actual scene, which is not limited herein.

[0049] In step 203, at least one second vehicle is determined from the plurality of reference vehicles according to the reference image, and the at least one second vehicle corresponds to at least one reference distance.

[0050] The vehicle type of the second vehicle is a fuel automobile, which refers to a vehicle type powered by fuel. A large amount of harmful gases may exist in the exhaust gas of such a vehicle at idle speed due to insufficient combustion of fuel in the engine. In this way, the fuel automobile within the reference distance is determined, so as to accurately locate the vehicle that will affect the first vehicle due to exhaust emission, lay a foundation for further calculation, and improve the accuracy.

[0051] In one possible example, the at least one second vehicle is determined from the plurality of reference vehicles according to the reference image, including: determining the vehicle with a blue license plate color from the plurality of reference vehicles according to the reference image; and determining the vehicle with the blue license plate color as the second vehicle.

[0052] The license plate color being blue represents that the vehicle is a small fuel vehicle, so the second vehicle can be determined by screening the vehicle with the blue license plate color in the reference image.

[0053] It can be seen that in this example, the cabin domain controller can directly identify the second vehicle through the license plate color of the vehicle in the reference image obtained in the previous step in the process of determining the second vehicle. Compared with other ways of determining the second vehicle, the processing flow of the cabin domain controller can be simplified, and the processing efficiency can be improved.

[0054] In other possible examples, the cabin domain controller can also determine the second vehicle in other manners, for example, the sensor module can obtain the sound features of the engine of the reference vehicle within the preset distance, and identify the second vehicle in the reference vehicle by comparing with the pre-stored sound features of the engine of the fuel vehicle. Preferably, the cabin domain controller can directly identify the second vehicle through the above-mentioned sound features, or can first identify the second vehicle through the license plate color and then further screen through the sound features, so as to avoid the situation that the fuel vehicle with other license plate colors is also within the preset distance but is not identified.

[0055] Step 204, determining at least one air pollution parameter corresponding to each of the at least one second vehicle.

[0056] The air pollution parameter is used to indicate the pollution degree of the exhaust gas emitted by the second vehicle to the air.

[0057] In one possible example, the determination of the at least one air pollution parameter corresponding to each of the at least one second vehicle includes: for each of the at least one second vehicle, obtaining the displacement parameter corresponding to the currently processed second vehicle, the displacement parameter being used to indicate the gas emission amount of the exhaust system of the currently processed second vehicle per unit time; determining the air pollution parameter of the currently processed second vehicle according to the displacement parameter; and continuing to process the next second vehicle until all the at least one second vehicle is processed to obtain the at least one air pollution parameter corresponding to each of the at least one second vehicle.

[0058] The harmful gas in the exhaust gas emitted by the fuel vehicle in the idle state is generated due to insufficient combustion of the engine. It is found through experiments that the content of the harmful gas generated by the fuel vehicle in the idle state is associated with the displacement of the vehicle per unit time. The more the displacement of the vehicle, the more the total amount of harmful gas generated by the engine per unit time due to insufficient combustion. Therefore, the air pollution parameter of the second vehicle can be calculated by obtaining the displacement parameter of the second vehicle.

[0059] It can be seen that in the present example, the cabin domain controller can calculate the air pollution parameter of each second vehicle through the displacement parameter corresponding to each second vehicle, thereby improving the reliability of the calculation result, ensuring the accuracy of the air pollution index calculated in the subsequent steps, and further enabling the cabin domain controller to accurately locate the switching time point, thereby improving the driving experience of the user.

[0060] In a possible example, the acquiring the displacement parameter corresponding to the second vehicle currently processed includes: extracting a vehicle logo and a vehicle contour of the second vehicle currently processed from the reference image frame; determining a vehicle brand of the second vehicle currently processed according to the vehicle logo; determining a specific vehicle model of the second vehicle currently processed according to the vehicle brand and the vehicle contour; and querying a pre-stored second mapping relationship table according to the specific vehicle model of the second vehicle currently processed to obtain the displacement parameter corresponding to the second vehicle currently processed, the second mapping relationship table including a plurality of specific vehicle models and a plurality of displacement parameters corresponding to the plurality of specific vehicle models in one-to-one correspondence.

[0061] The determining the specific vehicle model of the second vehicle currently processed according to the vehicle brand and the vehicle contour includes: calling a vehicle model database corresponding to the vehicle brand, the vehicle model database including all vehicle models under the vehicle brand and a vehicle contour corresponding to each vehicle model; and screening a vehicle model identical to the vehicle contour from the vehicle model database, as the specific vehicle model of the second vehicle currently processed. Each specific vehicle model has a corresponding displacement identifier when the vehicle is manufactured, for example, "A325i" refers to a saloon car of the A vehicle brand, the 3 series and the displacement of 2.5 liters, wherein the displacement identifier is 2.5 liters, and the displacement parameter of the vehicle can be determined based on the displacement identifier. In some embodiments, the displacement parameter is equal to 2.5 liters. The second mapping relationship table can be a mapping relationship set between each specific vehicle model and a corresponding displacement parameter established based on historical data statistics.

[0062] It can be seen that in the example, the cabin domain controller can first extract the vehicle logo and the vehicle contour of the second vehicle from the reference image frame, determine the vehicle brand according to the vehicle logo, obtain the specific vehicle model of the second vehicle in combination with the vehicle contour, and then obtain the displacement parameter of the second vehicle by querying the second mapping relationship table, thereby improving the reliability of the calculation result, ensuring the accuracy of the air pollution parameter, the air pollution index and other data calculated in subsequent steps, and further enabling the cabin domain controller to accurately locate the switching time point, thereby improving the driving experience of the user.

[0063] In a possible example, the obtaining of the displacement parameter corresponding to the second vehicle currently processed includes: obtaining a vehicle type, a diameter of an exhaust pipe and a number of exhaust pipes of the second vehicle currently processed, the vehicle type being used to indicate an engine displacement interval of the vehicle; calculating a total cross-sectional area of the exhaust pipes of the second vehicle currently processed according to the diameter of the exhaust pipe and the number of exhaust pipes; and querying a pre-stored first mapping relationship table according to the vehicle type and the total cross-sectional area of the exhaust pipes to obtain the displacement parameter corresponding to the second vehicle currently processed, the first mapping relationship table including a plurality of data groups and a plurality of displacement parameters corresponding to the plurality of data groups one by one, the data group including the vehicle type and the total cross-sectional area of the exhaust pipes.

[0064] The vehicle type can be small cars, medium cars and large cars divided based on car models, different car models correspond to different engine displacements, or can be micro cars (displacement below 1 liter), ordinary cars (displacement of 1.0-1.6 liters), medium cars (displacement of 1.6-2.5 liters), medium-high cars (displacement of 2.5-4.0 liters) and high cars (displacement of 4 liters or more) divided based on engine displacement. The total cross-sectional area of the exhaust pipes of the second vehicle currently processed can be calculated according to the diameter of each exhaust pipe, the cross-sectional areas of all the exhaust pipes are added to obtain the total cross-sectional area of the exhaust pipes. The vehicle type and the total cross-sectional area of the exhaust pipes are both elements related to the displacement of the vehicle per unit time in the idle state, and the mapping relationship between the data can be established through a large number of experiments and calculations to form the first mapping relationship table. That is, the mapping relationship between each group of data in the pre-stored first mapping relationship table is a result obtained through a large number of experiments and data verification.

[0065] It can be seen that in the example, the cabin domain controller can calculate the total cross-sectional area of the exhaust pipes of the second vehicle according to the diameter of the exhaust pipe and the number of exhaust pipes, and then query the pre-stored first mapping relationship table in combination with the vehicle type of the second vehicle to obtain the displacement parameter of the second vehicle, thereby improving the reliability of the calculation result, ensuring the accuracy of the air pollution parameter, the air pollution index and other data calculated in the subsequent steps, and further enabling the cabin domain controller to accurately locate the switching time point, thereby improving the driving experience of the user.

[0066] In step 205, at least one weight coefficient corresponding to the at least one second vehicle is determined according to the at least one reference distance.

[0067] The smaller the reference distance of the second vehicle is, the larger the weight coefficient corresponding to the second vehicle is, so that the second vehicle closest to the host vehicle has the largest weight coefficient. Figure 3The legend shown is explained, assuming that d1=d3<d2<d, and the second vehicle within the preset distance of the first vehicle 301 only contains the vehicle 302, the vehicle 303, and the vehicle 304, then the relationship between the weight coefficients k1, k2, and k3 corresponding to the vehicle 302, the vehicle 303, and the vehicle 304 is k1=k3<k2, and k1+k2+k3=1.

[0068] Step 206, calculating an air pollution index according to the at least one weight coefficient and the at least one air pollution parameter.

[0069] The air pollution index is used to indicate the air quality of the head region of the first vehicle. Figure 3 The example in the above formula is explained. Since the number of second vehicles participating in the calculation is three, in this example, the calculation formula of the air pollution index can be: Q=X1*k1+X2*k2+X3*k3, where X1, X2, and X3 respectively refer to the air pollution parameters corresponding to the vehicle 302, the vehicle 303, and the vehicle 304, k1, k2, and k3 respectively refer to the weight coefficients corresponding to the vehicle 302, the vehicle 303, and the vehicle 304, Q refers to the air pollution index, and the larger the value of Q, the worse the air quality of the head region of the first vehicle 301.

[0070] Step 207, when the air pollution index is greater than a preset threshold, controlling the air circulation mode of the first vehicle to be an internal circulation mode.

[0071] The preset threshold can be an empirical value obtained based on historical data analysis. When the air pollution index is greater than the preset threshold, the car will inhale gas into the cabin through external circulation, which will harm the health of the people in the car. Therefore, at this time, the cabin domain controller automatically controls the first vehicle to switch to the internal circulation mode, and timely safeguards the physical and mental health of the people in the car.

[0072] Step 208, controlling the air circulation mode of the first vehicle to be an internal circulation mode or an external circulation mode according to the driving environment data.

[0073] In one possible example, the controlling the air circulation mode of the first vehicle according to the driving environment data to be the internal circulation mode or the external circulation mode includes: extracting a plurality of switching factors associated with the air circulation mode from the driving environment data, the switching factors being factors affecting the dynamic switching of the air circulation mode; performing the following operations for the plurality of switching factors: determining a switching result corresponding to a currently processed switching factor according to the currently processed switching factor and a switching condition corresponding to the currently processed switching factor, the switching result being used to indicate the internal circulation mode or the external circulation mode; continuing to process a next switching factor until all the plurality of switching factors are processed to obtain a plurality of switching results corresponding to the plurality of switching factors one by one; if the air circulation modes indicated by the plurality of switching results are the same, controlling the air circulation mode of the first vehicle to be the air circulation mode indicated by the plurality of switching results; if the air circulation modes indicated by the plurality of switching results are different, selecting a target switching factor with the highest priority from the plurality of switching factors; and controlling the air circulation mode of the first vehicle to be the air circulation mode indicated by the target switching factor.

[0074] The switching factors can include an in-vehicle temperature, an in-vehicle carbon dioxide concentration, an outdoor dust concentration, and the like, which can be measured by a sensor module. For example, when the switching factor is the in-vehicle temperature, the corresponding switching condition can be a preset temperature, and the corresponding switching result includes starting the internal circulation mode when the in-vehicle temperature is greater than the preset temperature; when the switching factor is the in-vehicle carbon dioxide concentration, the corresponding switching condition can be a preset carbon dioxide concentration, and the corresponding switching result includes starting the external circulation mode when the in-vehicle carbon dioxide concentration is greater than the preset carbon dioxide concentration; and when the switching factor is the outdoor dust concentration, the corresponding switching condition can be a preset dust concentration, and the corresponding switching result includes starting the internal circulation mode when the outdoor dust concentration is greater than the preset dust concentration. If, in the current state, the in-vehicle temperature of the first vehicle is greater than the preset temperature, the in-vehicle carbon dioxide concentration is less than the preset carbon dioxide concentration, and the outdoor dust concentration is less than the preset dust concentration, it indicates that the air circulation modes indicated by the plurality of switching results are the same, which are the internal circulation mode, and thus the cabin domain controller controls the air circulation mode of the first vehicle to be the internal circulation mode; if, in the current state, the air circulation modes indicated by the switching results corresponding to the three switching factors are different, for example, when the in-vehicle temperature is greater than the preset temperature and the in-vehicle carbon dioxide concentration is greater than the preset carbon dioxide concentration, which respectively indicate the internal circulation mode and the external circulation mode, the cabin domain controller selects a target switching factor with the highest priority from the switching factors, and switches the air circulation mode based on the switching result corresponding to the target switching factor.

[0075] It can be seen that in the non-traffic jam scenario in this example, the cabin domain controller can extract a plurality of switching factors based on the driving environment data of the vehicle, and select a suitable air circulation mode based on the similarities and differences between the switching results corresponding to the plurality of switching factors, thereby achieving more refined control of the vehicle air conditioning system, improving the functionality and intelligence of the intelligent driving system, and optimizing the driving experience of the passengers in the vehicle.

[0076] In one possible example, the filtering of the target switching factor with the highest priority from the plurality of switching factors includes: filtering at least one reference switching factor from the plurality of switching factors, the reference switching factor being a switching factor that will affect the health of the passengers in the vehicle; if the at least one reference switching factor is a single reference switching factor, determining that the single reference switching factor is the target switching factor; and if the at least one reference switching factor is a plurality of reference switching factors, determining that the reference switching factor with the greatest impact on the health of the passengers in the vehicle among the plurality of reference switching factors is the target switching factor.

[0077] In this example, the in-vehicle temperature, the in-vehicle carbon dioxide concentration, and the outdoor dust concentration are the switching factors in the current scenario, and the reference switching factors that will affect the health of the passengers in the vehicle include the in-vehicle carbon dioxide concentration and the outdoor dust concentration. When the in-vehicle carbon dioxide concentration is too high, if the in-circulation mode is maintained and the window is not ventilated, the passengers in the vehicle will have symptoms such as dizziness and oxygen deficiency, which will greatly affect the driving safety. When the outdoor dust concentration is too high, if the out-circulation mode is still on, the high-concentration dust outside the vehicle will be sucked into the vehicle cabin, and then the passengers in the vehicle will inhale harmful substances, which will endanger the health of the passengers in the vehicle. Therefore, in this example, when the switching result corresponding to the in-vehicle temperature is different from the switching result corresponding to the in-vehicle carbon dioxide concentration or the switching result corresponding to the outdoor dust concentration, the cabin domain controller will mark the in-vehicle carbon dioxide concentration or the outdoor dust concentration as a reference switching factor and further process it. The cabin domain controller can pre-store various reference switching factors, and when the situation involved in this example occurs, the cabin domain controller can directly retrieve the pre-stored reference switching factors for comparison, so as to quickly determine the reference switching factor from the switching factors in the current scenario.

[0078] When the carbon dioxide concentration in the vehicle is greater than the preset carbon dioxide concentration and the dust concentration outside the vehicle is less than the preset dust concentration, the first vehicle is controlled to switch to the external circulation mode, that is, when the air circulation modes indicated by the switching results corresponding to the plurality of reference switching factors are the same, the air circulation mode of the first vehicle is controlled to be the air circulation mode indicated by the switching result corresponding to the plurality of reference switching factors. When the carbon dioxide concentration in the vehicle is greater than the preset carbon dioxide concentration and the dust concentration outside the vehicle is greater than the preset dust concentration, the switching results corresponding to the two are respectively an external circulation mode and an internal circulation mode, and at this time, a factor that has the greatest impact on the health of the people in the vehicle is determined from the above-mentioned reference switching factors as a target switching factor. Alternatively, the impact degree can be estimated by calculating the difference between each switching factor and a standard value, for example, the difference that the carbon dioxide concentration in the vehicle is only 0.5% higher than the standard value, that is, the preset carbon dioxide concentration, and the difference that the dust concentration outside the vehicle is 1% higher than the standard value, that is, the preset dust concentration. At this time, it can be determined that the dust concentration outside the vehicle has a greater impact on the health of the people in the vehicle, and the dust concentration outside the vehicle is further determined as the target switching factor, so that the corresponding air circulation mode is determined to be the internal circulation mode.

[0079] It can be seen that in the present example, when the air circulation modes indicated by the plurality of switching results are different, the cabin domain controller first screens the reference switching factors that will affect the health of the people in the vehicle from the switching factors, and then determines the target switching factor according to the reference switching factors, so that the air circulation mode indicated by the switching result corresponding to the target switching factor is used to control the vehicle air conditioning system, thereby improving the functionality and intelligence of the intelligent driving system and optimizing the driving experience of the people in the vehicle.

[0080] It can be seen that in the present application, the cabin domain controller obtains the driving environment data of the first vehicle through the sensor module, and determines whether the target road where the first vehicle is located is in a congested state based on the driving environment data. If not, the air circulation mode of the first vehicle is dynamically controlled according to the driving environment data; if yes, the reference image of the target road is obtained, the reference vehicle is determined, the second vehicle whose vehicle type is a fuel automobile is determined from the reference vehicle, and the air pollution parameter and the weight coefficient corresponding to the second vehicle are determined. The air pollution index is calculated through the weight coefficient and the air pollution parameter, and when the air pollution index is greater than the preset threshold, the air circulation mode of the first vehicle is controlled to be the internal circulation mode. In this way, the cabin domain controller distinguishes the congested scene and the non-congested scene through scene recognition, and controls the air conditioning system in the important scene of congestion in a more refined manner, thereby improving the accuracy of air quality detection of the head region of the first vehicle, so as to accurately determine the best switching time and improve the comfort and safety of the people in the vehicle during driving.

[0081] Consistent with the above-mentioned embodiments, please refer to Figure 4a , Figure 4a is a functional unit composition block diagram of a control device of a vehicle air conditioning system provided by the embodiment of the application, the device is applied to a cabin domain controller 11 as shown in Figure 1 The control device 40 of the vehicle air conditioning system comprises: an acquisition unit 401, configured to acquire driving environment data of the first vehicle through the sensor module, the driving environment data comprising road congestion data of a target road where the first vehicle is located, the road congestion data being used to indicate a congestion state or a non-congestion state; an execution unit 402, configured to perform the following operations if the road congestion data is used to indicate the congestion state: acquiring a reference image picture of the target road, the reference image picture comprising a plurality of reference vehicles, a reference distance corresponding to the reference vehicles being less than or equal to a preset distance, the reference distance being a distance between a tail of the reference vehicle and a head of the first vehicle; determining at least one second vehicle from the plurality of reference vehicles according to the reference image picture, the at least one second vehicle corresponding to at least one reference distance, a vehicle type of the second vehicle being a fuel automobile; determining at least one air pollution parameter corresponding to the at least one second vehicle one by one, the air pollution parameter being used to indicate a pollution degree of exhaust gas emitted by the second vehicle to air; determining at least one weight coefficient corresponding to the at least one second vehicle one by one according to the at least one reference distance; calculating an air pollution index according to the at least one weight coefficient and the at least one air pollution parameter, the air pollution index being used to indicate an air quality of a head region of the first vehicle; controlling an air circulation mode of the first vehicle to be an internal circulation mode when the air pollution index is greater than a preset threshold; and a control unit 403, configured to control the air circulation mode of the first vehicle to be an internal circulation mode or an external circulation mode according to the driving environment data if the road congestion data is used to indicate the non-congestion state.

[0082] In one possible example, in the aspect of determining the at least one air pollution parameter corresponding to the at least one second vehicle, the execution unit 402 is specifically configured to: perform the following operations on the at least one second vehicle: acquiring a displacement parameter corresponding to a currently processed second vehicle, the displacement parameter being used to indicate a gas emission amount of an exhaust system of the currently processed second vehicle in a unit time; determining an air pollution parameter of the currently processed second vehicle according to the displacement parameter; and processing a next second vehicle until the at least one second vehicle is completely processed to obtain the at least one air pollution parameter corresponding to the at least one second vehicle one by one.

[0083] In a possible example, in the aspect of obtaining the displacement parameter corresponding to the second vehicle being processed, the execution unit 402 is specifically configured to: extract a vehicle logo and a vehicle contour of the second vehicle being processed from the reference image frame; determine a vehicle brand of the second vehicle being processed according to the vehicle logo; determine a specific vehicle model of the second vehicle being processed according to the vehicle brand and the vehicle contour; and query a pre-stored second mapping relationship table according to the specific vehicle model of the second vehicle being processed, to obtain the displacement parameter corresponding to the second vehicle being processed, wherein the second mapping relationship table includes a plurality of specific vehicle models and a plurality of displacement parameters corresponding to the plurality of specific vehicle models in a one-to-one manner.

[0084] In a possible example, in the aspect of obtaining the displacement parameter corresponding to the second vehicle being processed, the execution unit 402 is specifically configured to: obtain a vehicle type, an exhaust pipe diameter and an exhaust pipe number of the second vehicle being processed, wherein the vehicle type is used to indicate an engine displacement interval of the vehicle; calculate a total cross-sectional area of the exhaust pipe of the second vehicle being processed according to the exhaust pipe diameter and the exhaust pipe number; and query a pre-stored first mapping relationship table according to the vehicle type and the total cross-sectional area of the exhaust pipe, to obtain the displacement parameter corresponding to the second vehicle being processed, wherein the first mapping relationship table includes a plurality of data groups and a plurality of displacement parameters corresponding to the plurality of data groups in a one-to-one manner, and each data group includes the vehicle type and the total cross-sectional area of the exhaust pipe.

[0085] In a possible example, in the aspect of controlling the air circulation mode of the first vehicle according to the driving environment data, the control unit 403 is specifically configured to: extract a plurality of switching factors associated with the air circulation mode from the driving environment data, wherein the switching factors refer to factors affecting dynamic switching of the air circulation mode; perform the following operations on the plurality of switching factors: determining a switching result corresponding to a switching factor being processed according to the switching factor being processed and a switching condition corresponding to the switching factor being processed, wherein the switching result is used to indicate the inner circulation mode or the outer circulation mode; continuing to process a next switching factor until all the plurality of switching factors are processed, to obtain a plurality of switching results corresponding to the plurality of switching factors in a one-to-one manner; if the air circulation modes indicated by the plurality of switching results are the same, controlling the air circulation mode of the first vehicle to be the air circulation mode indicated by the plurality of switching results; if the air circulation modes indicated by the plurality of switching results are different, selecting a target switching factor with the highest priority from the plurality of switching factors; and controlling the air circulation mode of the first vehicle to be the air circulation mode indicated by the target switching factor.

[0086] In a possible example, in the step of screening the target switching factor with the highest priority from the plurality of switching factors, the control unit 403 is specifically configured to: screen at least one reference switching factor from the plurality of switching factors, the reference switching factor being a switching factor that will affect the health of the person in the vehicle; if the at least one reference switching factor is a single reference switching factor, determine that the single reference switching factor is the target switching factor; and if the at least one reference switching factor is a plurality of reference switching factors, determine that a reference switching factor with the greatest impact on the health of the person in the vehicle from the plurality of reference switching factors is the target switching factor.

[0087] In a possible example, in the step of determining at least one second vehicle from the plurality of reference vehicles according to the reference image frame, the execution unit 402 is specifically configured to: determine, according to the reference image frame, a vehicle with a license plate color of blue from the plurality of reference vehicles; and determine that the vehicle with the license plate color of blue is the second vehicle.

[0088] It can be understood that, since the method embodiment and the device embodiment are different presentation forms of the same technical concept, the content of the method embodiment part in the present application should be synchronously adapted to the device embodiment part, which will not be repeated here.

[0089] In the case of using integrated units, as shown in Figure 4b , the functional unit composition block diagram of another control device of the vehicle-mounted air conditioning system provided by the embodiment of the present application is shown in Figure 4b . In Figure 4b , the control device 41 of the vehicle-mounted air conditioning system includes a processing module 412 and a communication module 411. The processing module 412 is configured to control and manage the actions of the control device of the vehicle-mounted air conditioning system, for example, to perform the steps of the acquisition unit 401, the execution unit 402, and the control unit 403, and / or to perform other processes of the technology described herein. The communication module 411 is configured to support the interaction between the control device of the vehicle-mounted air conditioning system and other devices. As shown in Figure 4b , the control device of the vehicle-mounted air conditioning system can further include a storage module 413, which is configured to store the program code and data of the control device of the vehicle-mounted air conditioning system.

[0090] The processing module 412 can be a processor or a controller, for example, a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an ASIC, an FPGA, or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in combination with the disclosure. The processor can also be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, and the like. The communication module 411 can be a transceiver, RF circuit, or communication interface, etc. The storage module 413 can be a memory.

[0091] All related content of each scene involved in the above method embodiments can be cited to the function description of the corresponding function module, and will not be repeated here. The control device 41 of the vehicle air conditioning system described above can execute the control method of the vehicle air conditioning system described above. Figure 2 The control method of the vehicle air conditioning system described above.

[0092] The above embodiments can be realized by software, hardware, firmware, or any combination thereof, in whole or in part. When realized by software, the above embodiments can be realized in the form of a computer program product in whole or in part. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the flow or function described in the embodiments of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another, for example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center through wired or wireless means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. containing one or more available medium collections. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium can be a solid-state disk.

[0093] Figure 5 is a structural block diagram of an electronic device provided by an embodiment of the present application. As shown in Figure 5As shown, the electronic device 500 can include one or more of the following components: a processor 501, a memory 502 coupled with the processor 501, wherein the memory 502 can store one or more computer programs which can be configured to implement the methods described in the above embodiments when executed by the one or more processors 501. It can be understood that the electronic device 500 can be the cockpit domain controller 11 in the above embodiments.

[0094] The processor 501 can include one or more processing cores. The processor 501 connects various parts in the entire electronic device 500 through various interfaces and lines, and performs various functions of the electronic device 500 and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 502, and calling data stored in the memory 502. Alternatively, the processor 501 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), a programmable logic array (PLA). The processor 501 can integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU) and a modem. Among them, the CPU is mainly used to process operating systems, user interfaces and application programs, etc.; the GPU is used to be responsible for rendering and drawing display content; and the modem is used to process wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 501, but can be realized by a separate communication chip.

[0095] The memory 502 can include a random access memory (RAM) and can also include a read-only memory (ROM). The memory 502 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 502 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above various method embodiments, etc. The data storage area can also store data created by the electronic device 500 in use, etc.

[0096] It can be understood that the electronic device 500 can include more or less structural elements than the above structural block diagram, which is not limited here.

[0097] The embodiment of the present application further provides a computer storage medium, wherein a computer program / instruction is stored on the computer storage medium, and the computer program / instruction is executed by a processor to implement part or all steps of any method described in the above method embodiment.

[0098] The embodiment of the present application further provides a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform part or all steps of any method described in the above method embodiment.

[0099] It should be understood that, in various embodiments of the present application, the size of the sequence number of the above processes does not mean the order of execution, and the execution order of the processes should be determined according to their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0100] In several embodiments provided in the present application, it should be understood that the disclosed method, device and system can be implemented by other ways. For example, the above-described device embodiment is only schematic; for example, the division of the units is only a logical function division, and actual implementation can have another division manner; for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0101] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0102] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically included separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware, or in the form of hardware plus software functional unit.

[0103] The integrated unit in the form of software function unit can be stored in a computer readable storage medium. The software function unit is stored in a storage medium, including a plurality of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute part of steps of the method according to various embodiments of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a magnetic disk, an optical disk, a volatile memory or a non-volatile memory. The non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically EPROM (EEPROM) or a flash memory. The volatile memory can be a random access memory (RAM) used as an external cache. By way of example but not limitation, many forms of random access memory (RAM) can be used, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link dynamic random access memory (Sync Link DRAM, SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM), etc. Various media that can store program codes are included.

[0104] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art can easily conceive variations or substitutions without departing from the spirit and scope of the present application, and various modifications can be made, including combinations of different functions and implementation steps, including software and hardware implementations, which are all within the protection scope of the present application.

Claims

1. A control method of a vehicle air conditioning system, characterized by, A cabin domain controller applied to an intelligent driving system of a first vehicle, the intelligent driving system comprising the cabin domain controller and a sensor module, the method comprising: obtaining driving environment data of the first vehicle by the sensor module, the driving environment data comprising road congestion data of a target road where the first vehicle is located, the road congestion data being used to indicate a congestion state or a non-congestion state; if the road congestion data is used to indicate the congestion state, then performing the following operations: obtaining a reference image frame of the target road, the reference image frame comprising a plurality of reference vehicles, a reference distance corresponding to the reference vehicles being less than or equal to a preset distance, the reference distance being a distance between a tail of the reference vehicle and a head of the first vehicle; determining at least one second vehicle from the plurality of reference vehicles according to the reference image frame, the at least one second vehicle corresponding to at least one reference distance, a vehicle type of the second vehicle being a fuel automobile; determining at least one air pollution parameter corresponding to the at least one second vehicle, the air pollution parameter being used to indicate a pollution degree of exhaust gas emitted by the second vehicle to air; determining at least one weight coefficient corresponding to the at least one second vehicle according to the at least one reference distance; calculating an air pollution index according to the at least one weight coefficient and the at least one air pollution parameter, the air pollution index being used to indicate an air quality of a head region of the first vehicle; when the air pollution index is greater than a preset threshold, controlling an air circulation mode of the first vehicle to be an internal circulation mode; if the road congestion data is used to indicate the non-congestion state, then controlling the air circulation mode of the first vehicle to be the internal circulation mode or an external circulation mode according to the driving environment data.

2. The method of claim 1, wherein, The determining of the at least one air pollution parameter corresponding to the at least one second vehicle comprises: performing the following operations for the at least one second vehicle: obtaining a displacement parameter corresponding to a currently processed second vehicle, the displacement parameter being used to indicate a gas emission amount of an exhaust system of the currently processed second vehicle in a unit time; determining an air pollution parameter of the currently processed second vehicle according to the displacement parameter; continuing to process a next second vehicle until the at least one second vehicle is completely processed to obtain the at least one air pollution parameter corresponding to the at least one second vehicle.

3. The method of claim 2, wherein, The obtaining of the displacement parameter corresponding to the currently processed second vehicle comprises: extracting a vehicle logo and a vehicle contour of the currently processed second vehicle from the reference image frame; determining a vehicle brand of the currently processed second vehicle according to the vehicle logo; determining a specific vehicle model of the currently processed second vehicle according to the vehicle brand and the vehicle contour; querying a second mapping relationship table stored in advance according to the specific vehicle model of the currently processed second vehicle to obtain the displacement parameter corresponding to the currently processed second vehicle, the second mapping relationship table comprising a plurality of specific vehicle models and a plurality of displacement parameters corresponding to the plurality of specific vehicle models.

4. The method of claim 2, wherein, The displacement parameter corresponding to the second vehicle currently processed is obtained, including: Obtaining the vehicle type, exhaust pipe diameter and exhaust pipe number of the second vehicle currently processed, wherein the vehicle type is used to indicate the engine displacement interval of the vehicle; Calculating the total cross-sectional area of the exhaust pipe of the second vehicle currently processed according to the exhaust pipe diameter and the exhaust pipe number; Obtaining the displacement parameter corresponding to the second vehicle currently processed by querying the pre-stored first mapping relationship table according to the vehicle type and the total cross-sectional area of the exhaust pipe, wherein the first mapping relationship table includes a plurality of data groups and a plurality of displacement parameters corresponding to the plurality of data groups, and the data group includes the vehicle type and the total cross-sectional area of the exhaust pipe.

5. The method of claim 1, wherein, The air circulation mode of the first vehicle is controlled according to the driving environment data, including: Extracting a plurality of switching factors related to the air circulation mode from the driving environment data, wherein the switching factor refers to a factor affecting the dynamic switching of the air circulation mode; For the plurality of switching factors, the following operations are performed: According to the currently processed switching factor and the switching condition corresponding to the currently processed switching factor, the switching result corresponding to the currently processed switching factor is determined, wherein the switching result is used to indicate the internal circulation mode or the external circulation mode; Continue to process the next switching factor until all the plurality of switching factors are processed to obtain a plurality of switching results corresponding to the plurality of switching factors; If the air circulation modes indicated by the plurality of switching results are the same, the air circulation mode of the first vehicle is controlled to be the air circulation mode indicated by the plurality of switching results; If the air circulation modes indicated by the plurality of switching results are different, the switching factor with the highest priority is selected as the target switching factor from the plurality of switching factors; and the air circulation mode of the first vehicle is controlled to be the air circulation mode indicated by the target switching factor.

6. The method of claim 5, wherein, The switching factor with the highest priority is selected from the plurality of switching factors, including: At least one reference switching factor is selected from the plurality of switching factors, wherein the reference switching factor refers to a switching factor that will affect the health of the people in the vehicle; If the at least one reference switching factor is a single reference switching factor, the single reference switching factor is determined as the target switching factor; If the at least one reference switching factor is a plurality of reference switching factors, the reference switching factor with the greatest impact on the health of the people in the vehicle is determined as the target switching factor from the plurality of reference switching factors.

7. The method of claim 1, wherein, The at least one second vehicle is determined from the plurality of reference vehicles according to the reference image, including: According to the reference image, a vehicle with a blue license plate color is determined from the plurality of reference vehicles; The vehicle with the blue license plate color is determined as the second vehicle.

8. A control device for a vehicle air conditioning system, characterized by comprising: The application is applied to a cabin domain controller in an intelligent driving system of a first vehicle, and the intelligent driving system includes the cabin domain controller and a sensor module, and the device includes: An acquisition unit is configured to acquire driving environment data of the first vehicle by using the sensor module, wherein the driving environment data comprises road congestion data of a target road where the first vehicle is located, and the road congestion data is used to indicate a congestion state or a non-congestion state. An execution unit is configured to perform the following operations if the road congestion data is used to indicate the congestion state: acquire a reference image frame of the target road, wherein the reference image frame comprises a plurality of reference vehicles, and a reference distance corresponding to each reference vehicle is less than or equal to a preset distance, wherein the reference distance refers to a distance between a tail of the reference vehicle and a head of the first vehicle; determine at least one second vehicle from the plurality of reference vehicles according to the reference image frame, wherein the at least one second vehicle corresponds to at least one reference distance, and a vehicle type of the second vehicle is a fuel automobile; determine at least one air pollution parameter corresponding to the at least one second vehicle, wherein the air pollution parameter is used to indicate a pollution degree of exhaust gas emitted by the second vehicle to air; determine at least one weight coefficient corresponding to the at least one second vehicle according to the at least one reference distance; calculate an air pollution index according to the at least one weight coefficient and the at least one air pollution parameter, wherein the air pollution index is used to indicate an air quality of a head region of the first vehicle; control an air circulation mode of the first vehicle to be an internal circulation mode when the air pollution index is greater than a preset threshold value; and control an air circulation mode of the first vehicle to be an internal circulation mode or an external circulation mode according to the driving environment data if the road congestion data is used to indicate the non-congestion state.

9. An electronic device, comprising: A computer program product including a processor, a memory, and one or more programs stored in the memory and configured to be executed by the processor, wherein the programs include instructions for performing steps in the method of any one of claims 1-7.

10. A computer readable storage medium having stored thereon computer programs / instructions, characterized in that, The computer program / instructions, when executed by the processor, implement steps of the method of any one of claims 1-7.

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