Vehicle cabin air conditioning method and vehicle

Abstract

The application discloses a vehicle cabin air regulation method and a vehicle. The method comprises the following steps: acquiring air sensing data of multiple preset areas in a vehicle cabin; identifying the types of odor pollution sources and corresponding pollution concentrations in each preset area based on the air sensing data; determining a target purification module combination corresponding to each preset area according to the type of odor pollution source corresponding to each preset area, and determining a purification operation parameter corresponding to each preset area according to the pollution concentration corresponding to each preset area; and independently purifying and regulating the air in each preset area according to the target purification module combination and the purification operation parameter corresponding to each preset area. The technical scheme provided by the application can improve the accuracy of vehicle cabin air regulation.

Description

Technical Field

[0001] This application belongs to the field of vehicle and cabin air control technology, and particularly relates to a vehicle cabin air control method and vehicle. Background Technology

[0002] With the popularization of the concept of healthy driving and the continuous upgrading of in-vehicle configurations, the air purification function of vehicle cabins has expanded from simple dust filtration to diverse application scenarios such as odor elimination, harmful gas removal, and antibacterial protection, providing basic cabin air health protection for drivers and passengers. However, the precision of existing cabin air control solutions still has significant limitations: most existing solutions only monitor comprehensive pollution indicators such as inhalable particulate matter and total volatile organic compounds, failing to accurately identify the specific type of odor pollution source, resulting in a lack of targeted purification strategies and limited odor removal and treatment effects; at the same time, existing solutions generally adopt a uniform purification control logic across the entire cabin, which cannot adapt to the pollution differences between the front and rear rows, easily leading to problems of insufficient or excessive purification in certain areas; in addition, purification modules are mostly in fixed operating modes, unable to be dynamically combined and called according to the type of pollution, which increases the vehicle's energy consumption and accelerates the wear and tear of filter materials, and the purification action is mostly a passive response after pollution occurs, unable to prevent pollutants from external roads from entering the cabin in advance.

[0003] Therefore, improving the accuracy of air conditioning in vehicle cabins has become an urgent technical problem to be solved. Summary of the Invention

[0004] The embodiments of this application provide a vehicle cabin air conditioning method, apparatus, computer program product, computer-readable storage medium, and vehicle, which can at least to some extent improve the accuracy of vehicle cabin air conditioning.

[0005] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.

[0006] According to a first aspect of the present application, a method for controlling air in a vehicle cabin is provided. The method includes: acquiring air sensing data of multiple preset areas within the vehicle cabin; identifying odor pollution source types and corresponding pollution concentrations in each preset area based on the air sensing data; determining a target purification module combination for each preset area based on the odor pollution source type corresponding to each preset area; determining purification operation parameters for each preset area based on the pollution concentration corresponding to each preset area; and independently purifying and controlling the air in each preset area based on the target purification module combination and purification operation parameters corresponding to each preset area.

[0007] In some embodiments of this application, based on the aforementioned scheme, identifying the odor pollution source type and corresponding pollution concentration in each preset area based on the air sensing data includes: extracting multiple characteristic gas concentration data from the air sensing data; matching and analyzing the multiple characteristic gas concentration data with a preset odor characteristic database to determine the odor pollution source type in each preset area, and calculating the corresponding pollution concentration.

[0008] In some embodiments of this application, based on the foregoing scheme, when the odor pollution source is smoke, the target purification module assembly includes a high-efficiency particulate matter filtration module and an activated carbon adsorption module; when the odor pollution source is food odor or formaldehyde, the target purification module assembly includes an activated carbon adsorption module; when the odor pollution source is musty, the target purification module assembly includes an activated carbon adsorption module and an antibacterial module.

[0009] In some embodiments of this application, based on the foregoing scheme, determining the purification operation parameters corresponding to each preset area according to the pollution concentration of each preset area includes: dividing multiple pollution levels according to the numerical range of pollution concentration, with each pollution level having a corresponding preset purification operation parameter; matching the corresponding purification operation parameter according to the pollution level to which the pollution concentration of the preset area belongs; monitoring the pollution concentration of the preset area in real time during the purification control process, and reducing the operating power of the purification device to a preset energy-saving power when the pollution concentration drops to a preset threshold to maintain the air purification state.

[0010] In some embodiments of this application, based on the foregoing scheme, the method further includes: acquiring external air quality data for each road segment corresponding to the vehicle's current navigation path; when it is predicted, based on the external air quality data, that the concentration of air pollutants in the road segment within a preset distance ahead of the vehicle exceeds a preset external pollution threshold, switching the air conditioning system to internal circulation mode and starting the purification device to operate at a preset pre-purification power; after the vehicle leaves the road segment where the concentration of air pollutants exceeds the preset external pollution threshold, restoring the air conditioning system to external circulation mode and adjusting the operating power of the purification device.

[0011] In some embodiments of this application, based on the foregoing scheme, the method further includes: obtaining occupant distribution information in the cabin; performing air purification control on preset areas where occupants are present, and reducing purification power or turning off purification function on preset areas where there are no occupants.

[0012] In some embodiments of this application, based on the foregoing scheme, the method further includes: calculating the cumulative running time and pollution load of each purification module; dynamically calculating the remaining service life of each purification module based on the cumulative running time and the pollution load; and issuing a filter replacement reminder when the remaining service life is lower than a preset reminder threshold.

[0013] According to a second aspect of the embodiments of this application, a vehicle cabin air control device is provided. The device includes: an acquisition unit for acquiring air sensing data of multiple preset areas within a vehicle cabin; an identification unit for identifying the type of odor pollution source and the corresponding pollution concentration in each preset area based on the air sensing data; a determination unit for determining a target purification module combination corresponding to each preset area based on the type of odor pollution source corresponding to each preset area, and determining purification operation parameters corresponding to each preset area based on the pollution concentration corresponding to each preset area; and a control unit for independently purifying and controlling the air in each preset area based on the target purification module combination and purification operation parameters corresponding to each preset area.

[0014] According to a third aspect of the embodiments of this application, a computer program product is provided, the computer program product including computer instructions stored in a computer-readable storage medium and adapted to be read and executed by a processor to cause a computer device having the processor to perform an operation as described in any of the first aspects above.

[0015] According to a fourth aspect of the embodiments of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing at least one computer program instruction, the at least one computer program instruction being loaded and executed by a processor to perform the operation as described in any of the first aspects above.

[0016] According to a fifth aspect of the present application, a vehicle is provided, the vehicle including one or more processors and one or more memories, the one or more memories storing at least one computer program instruction, the at least one computer program instruction being loaded and executed by the one or more processors to perform the operation as described in any of the first aspects above.

[0017] Based on the technical solution proposed in this application, by acquiring air sensor data from multiple preset areas within the vehicle cabin, this approach overcomes the limitations of traditional solutions that rely solely on single-point sampling and use overall average concentration to represent the overall pollution situation. It accurately captures the differences in pollution distribution across different spatial locations within the cabin, avoiding the problem of localized pollution being masked by average values, and providing accurate data support for subsequent differentiated control. Furthermore, identifying the types of odor pollution sources and corresponding pollution concentrations within each preset area overcomes the shortcomings of existing solutions that can only detect comprehensive pollution indicators and cannot distinguish specific pollution types. This clarifies the causes and severity of pollution in different areas, preventing mismatches in purification strategies due to misjudgment of pollution types. Subsequently, the corresponding target purification module combination is matched according to the odor type, and appropriate purification operation parameters are determined based on the pollution concentration. This achieves a precise correspondence between purification resources and pollution characteristics, enabling different purification units to be called for different pollution types and different operating intensities to be matched for different pollution levels, avoiding the extensive operation mode of running all purification modules at full capacity throughout the entire process. Ultimately, the air in each preset area is purified and controlled independently. This allows for tailored measures to address the actual pollution levels in different areas, ensuring effective purification in heavily polluted areas while avoiding over-purification in lightly polluted areas. By comprehensively improving the precision of vehicle cabin air control across the three levels of perception, decision-making, and execution, the system enhances cabin air quality while reducing unnecessary purification energy consumption and filter wear. Attached Figure Description

[0018] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings: Figure 1 A flowchart of a vehicle cabin air control method according to an embodiment of this application is shown; Figure 2 A block diagram of a vehicle cabin air control device according to an embodiment of this application is shown; Figure 3 A schematic diagram of the vehicle structure in an embodiment of this application is shown. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0021] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices. It should also be noted that, for the sake of simplicity, certain components in the drawings that do not affect the interpretation of the technical solution of this application have been appropriately omitted.

[0022] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined. Therefore, the actual execution order may change depending on the actual situation.

[0023] In the description of this application, it should be understood that 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 indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "multiple" means two or more.

[0024] This application proposes a vehicle cabin air control scheme, the purpose of which is to improve the accuracy of vehicle cabin air control, thereby enhancing the user's driving experience.

[0025] Next, this application will elaborate on the proposed vehicle cabin air control solution. (Refer to...) Figure 1The diagram illustrates a flowchart of a vehicle cabin air control method according to an embodiment of this application. This method can be executed by a device with computational processing capabilities. In practical applications, this device with computational processing capabilities can be a vehicle cabin domain controller or a separate in-vehicle air purification control unit. The entire solution can be implemented based on the vehicle's existing air conditioning system and air purification module. Combined with multiple sets of sensors located in different positions within the cabin, and integrating in-vehicle navigation and vehicle network data, it achieves fully automated control from pollution perception, type identification, strategy generation to zoned execution, maintaining a healthy air quality level within the cabin without manual operation by the driver and passengers.

[0026] like Figure 1 As shown, the method includes at least steps 110 to 140, which are described in detail below: In step 110, air sensor data for multiple preset areas within the vehicle cabin are acquired.

[0027] In this application, the air sensing data can cover multi-dimensional parameters of the cabin air, specifically including concentration data of various characteristic gases, concentration data of inhalable particulate matter, and air temperature and humidity data. The sensing devices that collect this data can be positioned along the airflow path of a corresponding preset area, such as near the air conditioning vents, under the seats, or inside the headliner, to ensure that the collected data accurately reflects the actual air conditions of the corresponding area. The raw signals collected by the sensing devices can be amplified, converted from analog to digital, and preliminarily filtered before being transmitted via the vehicle communication bus to the control unit that executes the control logic, providing a data foundation for subsequent pollution identification and strategy generation.

[0028] In this application, the plurality of preset areas may include a front cabin area and a rear cabin area, wherein the front cabin area and the rear cabin area independently collect air sensor data and independently perform air purification control.

[0029] Specifically, the front cabin area typically corresponds to the space occupied by the driver and front passenger, while the rear cabin area typically corresponds to the space occupied by the rear passengers. Each area is equipped with an independent sensing unit, ensuring that data collection processes do not interfere with each other. This avoids the problem of single-location sampling failing to reflect the overall pollution distribution. In actual vehicles, the front sensing unit can be integrated into the air conditioning intake duct of the center console, while the rear sensing unit can be integrated into the rear air vents or the rear roof vents, collecting circulating air samples from their respective areas. Because air circulation within the cabin varies across areas, the sources of pollution in different areas are often different. For example, the front row may be polluted by cigarette smoke from the driver, while the rear row may be polluted by food odors from passengers. Uniform sampling across the entire area would mix these two types of pollution in the calculation, making it impossible to accurately distinguish the degree of pollution in each area. However, independent sampling in different zones can precisely capture the pollution characteristics of different areas, providing support for subsequent differentiated control measures.

[0030] This application, by dividing the cabin into multiple preset areas and collecting air sensor data independently, can accurately capture the differences in pollution distribution in different locations, avoiding the problem of underestimation or overestimation of local pollution caused by average sampling across the entire area. This provides a reliable data foundation for subsequent precise zoned control, thereby improving the targeting of air control and reducing unnecessary purification energy consumption.

[0031] Continue to refer to Figure 1 In step 120, based on the air sensing data, the types of odor pollution sources and the corresponding pollution concentrations in each preset area are identified.

[0032] In this application, raw sensor data can be transformed into pollution type and concentration information that can be used for decision-making. Unlike traditional vehicle air purification solutions that only output a comprehensive pollution index, this application can output clear pollution source categories and quantified concentration values, enabling subsequent purification strategies to be more targeted. The identification process can be implemented based on multi-sensor data fusion, utilizing the differences in gas composition characteristics corresponding to different odor pollution sources, and completing classification and quantitative calculations through algorithm matching. The identification process can be performed in real time, ensuring rapid response to changes in pollution conditions.

[0033] In such Figure 1 In step 120, the identification of odor pollution source types and corresponding pollution concentrations within each preset area based on the air sensor data can be performed according to steps 121 to 122 as follows: Step 121: Extract the concentration data of various characteristic gases from the air sensing data.

[0034] Step 122: Match and analyze the concentration data of the various characteristic gases with the preset odor characteristic database to determine the odor pollution source type in each preset area and calculate the corresponding pollution concentration.

[0035] In this application, the characteristic gas refers to a marker gaseous component that corresponds to various odor pollution sources. Each type of odor pollution source releases specific gaseous substances, which can be quantitatively detected by corresponding electrochemical or optical sensors. Before extracting the characteristic gas concentration data, the raw data output by the sensing device can be calibrated. This calibration may include temperature compensation, humidity compensation, and baseline calibration to eliminate the influence of environmental temperature and humidity changes on the sensor's detection accuracy and improve the accuracy of the concentration data. The calibrated concentration data can then be extracted at a preset sampling frequency, such as once per second, to ensure real-time data availability.

[0036] In this application, a pre-built odor feature database can be stored in the vehicle's control unit. The database can store standard feature templates such as the type of characteristic gas, the concentration range of the characteristic gas, and typical identification thresholds for each odor pollution source. The matching analysis process can employ a pattern matching algorithm, calculating the similarity between the real-time extracted multi-dimensional gas concentration data and each standard template in the database. When the similarity of a certain type of odor template exceeds a pre-set matching threshold, it can be determined that a odor pollution source of that type exists within the corresponding pre-set area. The pollution concentration can be calculated based on the actual concentration of the characteristic gas, combined with a weighted calculation of the corresponding pollution type's weight coefficient, or the concentration of the core characteristic gas can be directly used as the numerical representation of the pollution concentration.

[0037] In practical applications, the following examples can be used for understanding. For instance, if the sensor unit in the front row detects a nicotine concentration of 0.3 mg / m³, accompanied by a significant increase in fine particulate matter concentration, this data is matched against a smoke odor template in the odor feature database. If the similarity exceeds a preset threshold, the odor pollution source in the front row is determined to be smoke, and the pollution concentration can be calculated by weighting the nicotine and particulate matter concentrations. Similarly, if the rear row detects an acetic acid concentration of 0.2 mg / m³, matching the food odor feature template, the rear row is determined to be contaminated with food odor. Simultaneously, the system can also independently identify formaldehyde concentration. For example, if the formaldehyde concentration in the cabin is detected to be 0.06 mg / m³, which does not exceed a preset safety threshold, the formaldehyde pollution is determined to be at a acceptable level, and no targeted high-intensity purification is required.

[0038] This application extracts concentration data of various characteristic gases and matches them with a pre-set odor characteristic database to accurately distinguish different types of odor pollution sources in the cabin. This overcomes the shortcomings of traditional solutions that can only detect comprehensive pollution indicators but cannot distinguish pollution types. It allows subsequent purification strategies to be customized according to the type of pollution, thereby improving the targeting and odor removal efficiency of purification and avoiding the problem of poor results caused by blindly adopting a uniform purification mode.

[0039] In this application, the types of odor pollutants may include smoke, formaldehyde, musty odor, food odor, and sweat odor. The characteristic gas concentration data include at least one of nicotine concentration, acetic acid concentration, formaldehyde concentration, and volatile mold odor concentration.

[0040] Specifically, the above-mentioned types of odors are the most common types of pollution in vehicle cabins. Smoke odor mainly comes from the smoking behavior of passengers, and the pollutants include solid smoke particles and gaseous nicotine, which are highly irritating to the respiratory tract. Formaldehyde mainly comes from the slow release of materials such as interior panels, leather, and adhesives, and is a long-term harmful gaseous pollutant. Musty odor mainly comes from mold growing in damp and hidden areas such as air conditioner evaporators, seat gaps, and under carpets. The volatile substances produced by mold metabolism will produce a noticeable odor and may also trigger allergic reactions. Food odor mainly comes from the smell of takeout food, snacks, and other food carried by passengers. The components are mainly acetic acid and sulfides. The smell is noticeable but usually does not pose a serious health hazard. Sweat odor mainly comes from the odor produced by the evaporation of sweat when drivers and passengers sit for long periods of time. The components include fatty acids and ammonia.

[0041] In this application, among the corresponding characteristic gases, nicotine can be used as a marker for cigarette smoke, acetic acid can be used as a marker for food odor, formaldehyde is itself an independent type of pollution and a detection target, and volatile mold compounds can be used as markers for musty odor. In actual configuration, all types of characteristic gas sensors can be selected based on the vehicle's positioning and cost control requirements, or a few can be selected to adapt to the needs of different vehicle models.

[0042] In this application, when the odor pollution source is smoke, the target purification module assembly may include a high-efficiency particulate matter filtration module and an activated carbon adsorption module.

[0043] When the odor pollution source is food odor or formaldehyde, the target purification module assembly may include an activated carbon adsorption module.

[0044] When the odor pollution source is moldy, the target purification module assembly may include an activated carbon adsorption module and an antibacterial module.

[0045] In this application, the different module combinations mentioned above are based on the pollutant forms and purification principles of various odors. The core filter material of the high-efficiency particulate matter (HEPA) filter module can be high-efficiency particulate air (HEPA) filter material, primarily used to intercept solid particulate matter in the air, such as smoke particles in cigarette smoke, external dust, pollen, etc., exhibiting high filtration efficiency for micron-sized and even submicron-sized particles. The core of the activated carbon adsorption module is modified activated carbon filter material. Utilizing the rich microporous structure of activated carbon, it can adsorb gaseous odor molecules and harmful gases in the air, such as nicotine, formaldehyde, acetic acid, and sulfides, making it the core unit for removing gaseous odors. The antibacterial module can employ an ultraviolet sterilization unit or a negative ion generating unit, inhibiting the growth and reproduction of mold, bacteria, and other microorganisms by destroying the genetic material of microorganisms or altering their living environment, thus reducing musty odors at the source of pollution.

[0046] Specifically, for smoke-related scenarios, since smoke contains both solid particles and gaseous odor pollutants, particulate filtration alone cannot remove the odor, and activated carbon adsorption alone cannot intercept smoke particles. Therefore, both a high-efficiency particulate filtration module and an activated carbon adsorption module need to be activated simultaneously to treat the two forms of pollutants separately, achieving comprehensive purification. For food odors or formaldehyde-related scenarios, the pollutants exist in gaseous form without significant particulate pollution. Therefore, activating only the activated carbon adsorption module is sufficient for effective purification, eliminating the need to activate the high-efficiency particulate filtration module and avoiding unnecessary wear and tear on the filter material. For musty-related scenarios, in addition to absorbing the existing odor gases with activated carbon, it is also necessary to inhibit the continued growth of mold. Therefore, an antibacterial module needs to be activated in addition to the activated carbon adsorption module to achieve the dual effects of odor removal and antibacterial action, preventing the recurrence of musty odors.

[0047] This application matches the corresponding purification module combination according to the composition characteristics of different odor pollution sources, which can realize the on-demand use of purification resources and avoid the extensive operation mode of all purification modules running at full capacity. It can not only ensure the purification effect of the corresponding pollution type, but also reduce unnecessary module operation, thereby extending the service life of consumables such as filter elements and reducing the overall energy consumption of the purification system.

[0048] Continue to refer to Figure 1 In step 130, the target purification module combination corresponding to each preset area is determined according to the type of odor pollution source corresponding to each preset area, and the purification operation parameters corresponding to each preset area are determined according to the pollution concentration corresponding to each preset area.

[0049] In this application, step 130 is the core decision-making step connecting the pollution identification results with the purification execution actions. For each preset area, the system can complete two decisions: first, determining the required combination of purification modules based on the pollution type; and second, determining the intensity parameters of the purification operation based on the pollution concentration. These two decisions are independent yet complementary, together constituting a complete purification strategy for the corresponding area. Since the pollution types and concentrations may differ significantly between different preset areas, the target purification module combinations and purification operation parameters for different areas can also be completely different, without interfering with each other, thus achieving true differentiated zoning control.

[0050] In this application, the target purification module combination may include at least one of a high-efficiency particulate matter filtration module, an activated carbon adsorption module, and an antibacterial module, and different types of odor pollution sources correspond to different purification module combination methods.

[0051] In this application, the three purification modules described above can adopt an independent modular design in terms of physical structure, each with its own independent drive and control unit. They can be started and stopped individually or operated in combination. This modular design offers greater flexibility compared to traditional integrated composite filter solutions. It allows for flexible combination and activation based on the type of pollution, and individual modules can be replaced when worn out, eliminating the need to replace all filters and reducing subsequent maintenance costs. Different combinations correspond to different purification capacity ranges, and the system can automatically select the optimal combination scheme based on the identified pollution type. The entire switching process is completed automatically by the control unit, requiring no manual operation from the driver or passengers.

[0052] In this application, the purification operation parameters may include at least one of the following: air conditioning circulation mode, zoned air supply volume, purification device operating power, and continuous operating duration.

[0053] In this application, the aforementioned operating parameters regulate the intensity and effect of purification from different dimensions. The air conditioning circulation mode is mainly divided into internal circulation mode and external circulation mode. In internal circulation mode, the air inside the cabin circulates in a closed loop, preventing outside air from entering the cabin. The purification device can quickly reduce the pollution concentration inside the cabin, suitable for heavily polluted scenarios. In external circulation mode, fresh outside air is introduced to replenish the oxygen content in the cabin, suitable for scenarios with lighter pollution and better outside air quality. Zoned airflow refers to the volumetric airflow rate of the air conditioning outlets in the corresponding preset zones. The larger the airflow, the more air flows through the purification module per unit time, resulting in faster pollutant purification. However, the energy consumption of the fan will also increase accordingly. Purification device operating power refers to the driving power of the purification module, such as the fan speed and the output power of the antibacterial module. Higher power corresponds to stronger purification capabilities but also higher energy consumption. Continuous running time refers to the estimated running time of the high-intensity purification mode. After reaching this time, the system can automatically assess the purification effect and adjust to a low-power maintenance mode. By coordinating and adjusting multiple parameters, the optimal balance between purification speed, purification effect, and system energy consumption can be found.

[0054] In such Figure 1 In step 130, determining the purification operation parameters corresponding to each preset area based on the pollution concentration of each preset area can be performed according to steps 131 to 133 as follows: Step 131: Divide the pollution into multiple pollution levels according to the numerical range of pollution concentration, and each pollution level has a corresponding preset purification operation parameter.

[0055] Step 132: Match the corresponding purification operation parameters according to the pollution level of the pollution concentration in the preset area.

[0056] Step 133: During the purification control process, monitor the pollution concentration in the preset area in real time. When the pollution concentration drops to the preset threshold, reduce the operating power of the purification device to the preset energy-saving power to maintain the air purification state.

[0057] In this application, the pollution levels can be set based on the concentration thresholds of different pollutants. The number of levels can be configured according to the actual control precision requirements. For example, it can be divided into three levels: light pollution, moderate pollution, and heavy pollution, or it can be divided into more sub-levels. The threshold settings can refer to relevant national in-vehicle air quality standards and be optimized and adjusted based on actual driving experience. Taking particulate matter pollution as an example, below 35 micrograms per cubic meter can be set as the qualified level, 35 to 75 micrograms per cubic meter as the light pollution level, 75 to 150 micrograms per cubic meter as the moderate pollution level, and above 150 micrograms per cubic meter as the heavy pollution level. Corresponding classification thresholds can also be set for gaseous pollutants. For example, formaldehyde can be defined as exceeding the standard limit at 0.1 milligrams per cubic meter, and the corresponding pollution level can be classified. Each pollution level corresponds to a set of pre-configured operating parameters, including specific values ​​such as circulation mode, fan speed, and operating power, forming a parameter mapping table stored in the control unit.

[0058] After determining the pollution concentration in a preset area, the system compares this concentration value with preset grading thresholds to determine its pollution level. Then, it retrieves the corresponding purification operation parameters by querying a parameter mapping table. The higher the pollution level, the stronger the corresponding purification intensity, aiming to quickly reduce the pollution concentration. In practical applications, consider the following example: when the front row area is identified as having smoke pollution with a concentration corresponding to a moderate pollution level, the matched purification operation parameters could be internal circulation mode, fourth-level airflow, and 80% of the purification device's operating power, with an estimated duration of ten minutes. When the rear row area is identified as having food odor pollution with a concentration corresponding to a light pollution level, the matched purification operation parameters could be internal circulation mode, second-level airflow, and 50% of the purification device's operating power, with an estimated duration of five minutes.

[0059] During the purification strategy execution, the system does not operate continuously with fixed parameters. Instead, it continuously collects air sensor data from the corresponding area, tracking changes in pollution concentration in real time to achieve closed-loop control. Preset thresholds can be set according to corresponding air quality standards. When the detected pollution concentration drops below the threshold, it indicates that the high-intensity purification has achieved the expected effect. At this point, the system does not directly shut down the purification device but reduces its operating power to a preset energy-saving level, such as 30% of the rated power, maintaining cabin air quality through low-intensity cyclic purification. This dynamic adjustment method avoids a rebound in pollution concentration and significantly reduces the continuous energy consumption of the purification system, achieving a dynamic balance between purification effectiveness and energy consumption.

[0060] This application, by classifying pollution levels and matching corresponding purification operation parameters, combined with a real-time monitoring dynamic power adjustment mechanism, can dynamically adjust the purification intensity according to the actual pollution level. When the pollution is severe, it can quickly purify the air, and when the pollution is reduced, it can maintain energy conservation. This avoids the energy waste of the purification system running at high power throughout the process, while ensuring that the air quality in the cabin remains at a qualified level, thus achieving a dynamic balance between purification effect and vehicle energy consumption.

[0061] Continue to refer to Figure 1 In step 140, the air in each preset area is independently purified and controlled according to the target purification module combination and purification operation parameters corresponding to each preset area.

[0062] In this application, step 140 is the execution phase of the entire solution. The control unit, based on the generated purification strategy, sends control commands to the air conditioning actuators and purification module drive units in the corresponding areas, respectively controlling the air conditioning damper opening, airflow volume, circulation mode, and the start / stop status and operating power of the corresponding purification modules. Independent purification control means that the purification processes in each preset area are independent of each other. Adjustments to the strategy in the front area will not affect the operation of the rear area, and vice versa. For example, when the front area is in a high-power internal circulation purification state, the rear area can be in a low-power external circulation ventilation state. The two areas execute their respective strategies simultaneously, meeting the air requirements of their respective areas.

[0063] To illustrate with the previous example, when the front row area is identified as having smoke pollution, the system activates both the high-efficiency particulate filter module and the activated carbon adsorption module, while simultaneously setting the front air conditioning to recirculation mode, fan speed level 4, and 80% purification power. When the rear row area is identified as having food odors, the system activates only the activated carbon adsorption module, while simultaneously setting the rear air conditioning to recirculation mode, fan speed level 2, and 50% purification power. The purification processes in both areas occur simultaneously without interference, achieving targeted air purification treatment for each.

[0064] This application can adapt to the different pollution conditions in different areas of the cabin by implementing independent purification control for each preset area. It avoids the problem of insufficient or excessive purification in some areas caused by uniform purification of the whole area. It can ensure the purification effect in polluted areas and reduce the ineffective energy consumption in unpolluted areas, thereby improving the overall driving experience of passengers.

[0065] In this application, steps 151 to 153 may also be performed: Step 151: Obtain external air quality data for each road segment corresponding to the vehicle's current navigation path.

[0066] Step 152: When it is predicted, based on the external air quality data, that the concentration of air pollutants on the road section within a preset distance in front of the vehicle exceeds a preset external pollution threshold, the air conditioning system is switched to internal circulation mode, and the purification device is started to operate at a preset pre-purification power.

[0067] Step 153: After the vehicle leaves the road section where the air pollutant concentration exceeds the preset external pollution threshold, the air conditioning system is restored to external circulation mode, and the operating power of the purification device is adjusted.

[0068] In this application, external air quality data can be obtained from a cloud-based air quality monitoring platform via a vehicle-to-everything (V2X) system. This data can include pollution indicators such as fine particulate matter (PM2.5), nitrogen oxide (NOx), and sulfur oxide (STI) concentrations at various points along the navigation route. In addition to direct air quality data, the system can also incorporate road condition information for supplementary assessment. For example, construction zones, industrial park zones, and congested traffic areas typically experience heavier exhaust and dust pollution; even without real-time air quality data, these zones can be marked as high-pollution areas. The acquired road segment air quality data can be correlated with mileage points along the navigation route to generate pollution distribution data along the route, providing a basis for subsequent predictions.

[0069] In this application, the preset distance can be set according to actual needs, such as three kilometers or five kilometers. The preset external pollution threshold corresponds to the acceptable limit of outside air quality. When the external pollution exceeds this threshold, introducing external air circulation will significantly worsen the air quality inside the cabin. When the system detects a road section exceeding the pollution threshold within the preset distance range ahead of the vehicle, it can perform protective operations in advance. On the one hand, it switches the air conditioning system to internal circulation mode to block the passage of highly polluted outside air into the cabin. On the other hand, it activates the purification device in advance, operating at the preset pre-purification power to create a clean positive pressure environment in the cabin in advance, further preventing external pollutants from seeping in through gaps. For example, if the navigation shows that there is a construction section three kilometers ahead, and the concentration of fine particulate matter in this section is expected to reach 200 micrograms per cubic meter, far exceeding the preset external pollution threshold, the system will activate the pre-purification logic in advance to prepare for pollution protection.

[0070] During vehicle operation, the system can locate the vehicle's position in real time and determine whether it has left the high-pollution road section. When it detects that the vehicle has completely left the high-pollution area and the air quality of the subsequent road section has returned to acceptable levels, the system can automatically switch the air conditioning system from recirculation mode back to external recirculation mode, introducing fresh outside air to avoid prolonged recirculation which can lead to increased carbon dioxide concentration and stuffy air in the cabin. Simultaneously, the system can adjust the purification unit's operating power from pre-purification power back to normal operating power, maintaining purification based on the actual pollution level in the cabin and avoiding unnecessary energy consumption.

[0071] In this application, the advance time for switching the air conditioning system to recirculation mode can be calculated and determined based on the vehicle's current driving speed and the preset distance, ensuring that the mode switching and pre-purification are completed before the vehicle reaches the road section where the air pollutant concentration exceeds the preset external pollution threshold.

[0072] In this application, the advance duration can be calculated using the following formula:

[0073] in, Indicates the duration in advance. This indicates the preset predicted distance. This indicates the vehicle's current speed.

[0074] Specifically, by dynamically calculating the lead time, it can adapt to different driving conditions. When the vehicle is traveling at high speed, the time to reach the polluted section is shorter, so the lead time will be shortened accordingly. When the vehicle is traveling at low speed, the time to reach the polluted section is longer, so the lead time will be extended accordingly. This dynamic adjustment method can avoid the timing deviation caused by a fixed lead time. It will not cause the internal circulation to be delayed due to starting too early, affecting the comfort of the passengers, nor will it cause the polluted air to have already entered the cabin before the switch is completed due to starting too late, ensuring that the timing of the pre-purification is accurate and the protective effect is reliable.

[0075] This application performs proactive pre-purification by combining navigation routes with external air quality data. It can complete protective preparations before the vehicle reaches the polluted section of road, blocking external pollutants outside the cabin. This changes the traditional purification solution's passive approach, which can only deal with pollution after it enters the cabin. It achieves preventative air health protection and further improves the level of air health protection in the cabin.

[0076] In this application, steps 161 to 162 may also be performed: Step 161: Obtain occupant distribution information within the cabin.

[0077] Step 162: Perform air purification control in preset areas where there are occupants, and reduce purification power or turn off purification function in preset areas where there are no occupants.

[0078] In this application, the occupant distribution information refers to the status information of whether there are occupants in each seat within the cabin. This information can be obtained in various ways. For example, it can be detected by pressure sensors inside the seats. When there is an occupant in a seat, the pressure value detected by the pressure sensor exceeds a preset threshold, thus determining that there is an occupant in that seat. Alternatively, occupant identification can be performed using in-vehicle visual cameras, with image algorithms determining whether each seat is occupied. The seatbelt wearing status can also be used as an auxiliary factor to improve the accuracy of identification. The acquired occupant distribution information can be updated in real time, and the system can adjust its purification strategy promptly when occupants get on or off the vehicle, causing changes in the distribution status.

[0079] In this application, the core logic of steps 161 to 162 is to prioritize the allocation of purification resources to areas with occupants, and appropriately reduce purification requirements for vacant areas without occupants to save energy. For preset areas with occupants, the system executes normal purification strategies to ensure that the air quality in that area meets health standards; for preset areas without occupants, since there is no need for personnel health protection, the purification power can be reduced to a lower level, or the purification module and air supply in the corresponding area can be directly turned off. For example, when there are no passengers in the rear seats, the system can turn off the purification module in the rear seats and only maintain the purification operation in the front seats, thereby reducing the overall power consumption of the vehicle and improving the vehicle's range.

[0080] This application, by adjusting the purification strategy in conjunction with occupant distribution information, can further optimize the allocation of purification resources, concentrate purification capacity in areas with occupants, avoid ineffective purification consumption in vacant areas, and further reduce the energy consumption of the purification system while ensuring the air health of drivers and passengers, thus improving the energy-saving performance of the solution.

[0081] In this application, steps 171 to 173 may also be performed: Step 171: Calculate the cumulative runtime and pollution load of each purification module.

[0082] Step 172: Dynamically calculate the remaining service life of each purification module based on the cumulative running time and the pollution load.

[0083] Step 173: When the remaining service life is lower than the preset reminder threshold, a filter replacement reminder message is issued.

[0084] In this application, the system can establish an operational data file for each purification module, recording the runtime, operating power, and average pollution concentration for each startup period. The pollution load can be calculated using the operating air volume, runtime, and average pollution concentration to obtain the total amount of pollutants processed by the purification module during that operation. The cumulative pollution load reflects the actual wear and tear of the filter element. Compared to simply counting runtime, combining pollution load statistics is more accurate because the filter element wear in one hour of operation under high pollution conditions is far greater than the wear and tear in several hours of operation under low pollution conditions.

[0085] In this application, each purification module can be labeled with its rated total processing capacity at the factory, which can be used as a benchmark for lifespan calculation. The remaining lifespan can be calculated by subtracting the accumulated pollution load processed from the module's rated total processing capacity, and then combining this with the recent average usage intensity to convert it into the remaining usable time. This calculation process can be performed periodically, such as updating the remaining lifespan value daily, to ensure the accuracy of the lifespan data. Since different purification modules operate at different frequencies and process different types of pollution, their wear rates also differ. Therefore, calculating the lifespan separately allows for an accurate understanding of the actual status of each module.

[0086] In this application, the preset reminder threshold can be set to approximately 10% of the rated lifespan. When the remaining lifespan falls below this threshold, it indicates that the filter element is nearing failure and needs to be replaced promptly. The reminder information can be displayed on the vehicle's central control screen or delivered to the user via voice prompts, clearly indicating the type of purification module that needs replacement. Since each purification module calculates its lifespan independently, replacement reminders can be given separately. Users only need to replace the worn-out modules, eliminating the need to replace the entire purification unit, thus reducing future usage and maintenance costs.

[0087] This application, by statistically analyzing the cumulative runtime and pollution load of each purification module, dynamically calculates the remaining service life and issues timely replacement reminders. This allows for accurate monitoring of the actual wear and tear of the filter elements, ensuring the purification system maintains a reliable purification effect. Furthermore, the method of replacing the corresponding modules as needed reduces the user's later operating costs and improves the practicality and economy of the solution.

[0088] The following describes an embodiment of the apparatus described in this application, which can be used to execute the vehicle cabin air control method described in the above embodiments of this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the vehicle cabin air control method described above in this application.

[0089] See Figure 2 The diagram shows a block diagram of a vehicle cabin air control device according to an embodiment of this application.

[0090] like Figure 2 As shown, the vehicle cabin air control device 200 according to an embodiment of this application includes: an acquisition unit 201, an identification unit 202, a determination unit 203, and a control unit 204.

[0091] The system includes: an acquisition unit 201 for acquiring air sensor data from multiple preset areas within the vehicle cabin; an identification unit 202 for identifying the type of odor pollution source and the corresponding pollution concentration within each preset area based on the air sensor data; a determination unit 203 for determining the target purification module combination for each preset area based on the type of odor pollution source corresponding to each preset area, and determining the purification operation parameters for each preset area based on the pollution concentration corresponding to each preset area; and a control unit 204 for independently controlling the air purification in each preset area based on the target purification module combination and purification operation parameters corresponding to each preset area.

[0092] In some embodiments of this application, based on the aforementioned scheme, the identification unit 202 is configured to: extract multiple characteristic gas concentration data from the air sensing data; perform matching analysis between the multiple characteristic gas concentration data and a preset odor characteristic database to determine the odor pollution source type in each preset area, and calculate the corresponding pollution concentration.

[0093] In some embodiments of this application, based on the foregoing scheme, when the odor pollution source is smoke, the target purification module assembly includes a high-efficiency particulate matter filtration module and an activated carbon adsorption module; when the odor pollution source is food odor or formaldehyde, the target purification module assembly includes an activated carbon adsorption module; when the odor pollution source is musty, the target purification module assembly includes an activated carbon adsorption module and an antibacterial module.

[0094] In some embodiments of this application, based on the foregoing scheme, the determining unit 203 is configured to: divide multiple pollution levels according to the numerical range of pollution concentration, each pollution level having a corresponding preset purification operation parameter; match the corresponding purification operation parameter according to the pollution level to which the pollution concentration of the preset area belongs; monitor the pollution concentration of the preset area in real time during the purification control process, and when the pollution concentration drops to a preset compliance threshold, reduce the operating power of the purification device to a preset energy-saving power to maintain the air purification state.

[0095] In some embodiments of this application, based on the foregoing scheme, the device further includes: a switching unit, configured to acquire external air quality data for each road segment corresponding to the vehicle's current navigation path; when it is predicted, based on the external air quality data, that the concentration of air pollutants in the road segment within a preset distance ahead of the vehicle exceeds a preset external pollution threshold, the air conditioning system is switched to internal circulation mode, and the purification device is started to operate at a preset pre-purification power; after the vehicle leaves the road segment where the concentration of air pollutants exceeds the preset external pollution threshold, the air conditioning system is restored to external circulation mode, and the operating power of the purification device is adjusted.

[0096] In some embodiments of this application, based on the foregoing scheme, the control unit 204 is configured to: acquire occupant distribution information in the cabin; perform air purification control in a preset area where occupants are present, and reduce purification power or turn off purification function in a preset area where there are no occupants.

[0097] In some embodiments of this application, based on the foregoing scheme, the device further includes: a statistics unit, used to count the cumulative running time of each purification module and the pollution load processed; dynamically calculate the remaining service life of each purification module based on the cumulative running time and the pollution load; and issue a filter replacement reminder message when the remaining service life is lower than a preset reminder threshold.

[0098] Based on the same inventive concept, embodiments of this application provide a computer program product, the computer program product including computer instructions stored in a computer-readable storage medium and adapted to be read and executed by a processor, so as to cause a computer device having the processor to perform the operations performed by the vehicle cabin air control method as described above.

[0099] Based on the same inventive concept, embodiments of this application provide a computer-readable storage medium storing at least one computer program instruction, which is loaded and executed by a processor to perform the operations performed by the vehicle cabin air control method described above.

[0100] Based on the same inventive concept, this application also provides a vehicle, see reference. Figure 3 The diagram shows a structural schematic of a vehicle according to an embodiment of this application. The vehicle includes one or more memories 304, one or more processors 302, and at least one computer program (computer program instruction) stored in the memory 304 and executable on the processor 302. When the processor 302 executes the computer program, it implements the vehicle cabin air control method as described above.

[0101] Among them, Figure 3In this document, a bus architecture (represented by bus 300) is used. Bus 300 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 can be used to store data used by processor 302 during operation.

[0102] The functions described herein can be implemented in hardware, software executed by a processor, firmware, or any combination thereof. When implemented in software executed by a processor, the functions can be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and embodiments are within the scope and spirit of this application and the appended claims. For example, due to the nature of software, the functions described above can be implemented using software executed by a processor, hardware, firmware, hardwired, or any combination thereof. Furthermore, the functional units can be integrated into a single processing unit, or each unit can exist physically separately, or two or more units can be integrated into a single unit.

[0103] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0104] The units described as separate components may or may not be physically separate. Similarly, the components of the control device may or may not be physical units; they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0105] When the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing computer program instructions, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0106] The above description is merely an embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for controlling air quality in a vehicle cabin, characterized in that, The method includes: Acquire air sensor data from multiple preset areas within the vehicle cabin; Based on the air sensor data, identify the types of odor pollution sources and the corresponding pollution concentrations in each preset area; Based on the type of odor pollution source corresponding to each preset area, determine the target purification module combination corresponding to each preset area, and based on the pollution concentration corresponding to each preset area, determine the purification operation parameters corresponding to each preset area. Based on the target purification module combination and purification operation parameters corresponding to each preset area, the air in each preset area is independently purified and controlled.

2. The method according to claim 1, characterized in that, The step of identifying the type of odor pollution source and the corresponding pollution concentration in each preset area based on the air sensor data includes: Extract the concentration data of various characteristic gases from the air sensing data; The concentration data of the various characteristic gases are matched and analyzed with a preset odor characteristic database to determine the type of odor pollution source in each preset area and calculate the corresponding pollution concentration.

3. The method according to claim 1, characterized in that, When the odor pollution source is smoke, the target purification module assembly includes a high-efficiency particulate matter filtration module and an activated carbon adsorption module. When the odor pollution source is food odor or formaldehyde, the target purification module assembly includes an activated carbon adsorption module. When the odor pollution source is moldy, the target purification module assembly includes an activated carbon adsorption module and an antibacterial module.

4. The method according to claim 1, characterized in that, The step of determining the purification operation parameters corresponding to each preset area based on the pollution concentration of each preset area includes: The pollution levels are divided into multiple levels based on the range of pollution concentration, and each pollution level has corresponding preset purification operation parameters. Match the corresponding purification operation parameters according to the pollution level of the preset area; During the purification and control process, the pollution concentration in the preset area is monitored in real time. When the pollution concentration drops to the preset threshold, the operating power of the purification device is reduced to the preset energy-saving power to maintain the air purification state.

5. The method according to claim 1, characterized in that, The method further includes: Obtain external air quality data for each road segment corresponding to the vehicle's current navigation route; When the concentration of air pollutants on the road within a preset distance in front of the vehicle is predicted to exceed the preset external pollution threshold based on the external air quality data, the air conditioning system will be switched to internal circulation mode and the purification device will be started to operate at the preset pre-purification power. Once the vehicle leaves the road section where the air pollutant concentration exceeds the preset external pollution threshold, the air conditioning system will be restored to external circulation mode, and the operating power of the purification device will be adjusted.

6. The method according to any one of claims 1 to 5, characterized in that, The method further includes: Obtain information on the occupant distribution within the cabin; Air purification control is applied to preset areas where occupants are present, while purification power is reduced or the purification function is turned off in preset areas where no occupants are present.

7. The method according to any one of claims 1 to 5, characterized in that, The method further includes: Calculate the cumulative runtime and pollution load of each purification module; The remaining service life of each purification module is dynamically calculated based on the cumulative running time and the pollution load. When the remaining service life is lower than a preset reminder threshold, a filter replacement reminder message will be issued.

8. A vehicle cabin air conditioning device, characterized in that, The device includes: The acquisition unit is used to acquire air sensor data from multiple preset areas within the vehicle cabin. The identification unit is used to identify the type of odor pollution source and the corresponding pollution concentration in each preset area based on the air sensing data. The determining unit is used to determine the target purification module combination corresponding to each preset area based on the type of odor pollution source corresponding to each preset area, and to determine the purification operation parameters corresponding to each preset area based on the pollution concentration corresponding to each preset area. The control unit is used to independently control the air purification of each preset area according to the target purification module combination and purification operation parameters corresponding to each preset area.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one piece of program code, which is loaded and executed by a processor to perform the operations performed by the method as described in any one of claims 1 to 7.

10. A vehicle, characterized in that, The vehicle includes one or more processors and one or more memories, wherein at least one piece of program code is stored in the one or more memories, and the at least one piece of program code is loaded and executed by the one or more processors to implement the method as described in any one of claims 1 to 7.

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