Air conditioning method and device for vehicle, vehicle and storage medium

Abstract

The application discloses an air conditioning method and device of a vehicle, a vehicle and a storage medium, and relates to the field of automobiles. The method comprises the following steps: determining a scene evaluation parameter of a current vehicle based on driving road condition data, driving working condition data and driving weather data of the current vehicle; determining an air quality evaluation parameter of the current vehicle based on the concentration of air characteristic components in the current vehicle; determining a driver state evaluation parameter of the current vehicle based on driver physiological data of the current vehicle; performing weighted processing on the scene evaluation parameter, the air quality evaluation parameter and the driver state evaluation parameter to obtain a fragrance adjustment parameter of the current vehicle; and determining an air conditioning strategy of the current vehicle according to the air quality evaluation parameter and the fragrance adjustment parameter. Through the technical scheme of the embodiment of the application, the air inside the vehicle can be dynamically and accurately adjusted according to the actual situation, thereby improving the automation and intelligent level of air conditioning, and improving the user experience.

Description

Technical Field

[0001] This invention relates to the automotive field, and more particularly to a method, apparatus, vehicle, and storage medium for air conditioning in a vehicle. Background Technology

[0002] With the development of the automotive industry and the improvement of people's living standards, driving and riding comfort has become one of the core factors that users care about. As a relatively enclosed space, the air quality and odor environment inside a vehicle directly affect the physiological feelings and psychological state of the occupants. Therefore, how to efficiently and accurately regulate the air inside a vehicle is particularly important.

[0003] However, most existing vehicle air conditioning methods are based on only single-dimensional information or rely on manual adjustment. For example, they determine the air conditioning strategy by comparing a single indicator such as particulate matter concentration or volatile organic compound concentration with a preset threshold, or they adjust the fragrance release concentration manually. This adjustment method cannot dynamically and accurately adjust according to real-time environmental changes, which not only reduces the accuracy of the adjustment but also affects the user's driving experience.

[0004] Therefore, there is an urgent need to propose a new method to solve the above problems. Summary of the Invention

[0005] This invention provides a method, apparatus, vehicle, and storage medium for air conditioning in a vehicle, which can dynamically and precisely adjust the air inside the vehicle according to actual conditions, thereby improving the automation and intelligence level of air conditioning and enhancing the user experience.

[0006] In a first aspect, embodiments of the present invention provide an air conditioning method for a vehicle, the method comprising:

[0007] The scenario evaluation parameters for the current vehicle are determined based on the current road condition data, driving condition data, and driving weather data.

[0008] The air quality assessment parameters for the current vehicle are determined based on the concentration of characteristic components in the in-vehicle air.

[0009] Determine the driver's status assessment parameters for the current vehicle based on the driver's physiological data.

[0010] The scene evaluation parameters, air quality evaluation parameters, and driver state evaluation parameters are weighted to obtain the current vehicle fragrance adjustment parameters;

[0011] The air conditioning strategy for the current vehicle is determined based on the air quality assessment parameters and the fragrance adjustment parameters.

[0012] The technical solution of this invention first determines the scene evaluation parameters of the current vehicle based on the current driving road condition data, driving operating condition data, and driving weather data. This allows the subsequently determined fragrance adjustment parameters to fully consider the current environmental needs, thereby improving the accuracy of the subsequently determined air conditioning strategy and achieving scene adaptability of air conditioning. Next, the air quality evaluation parameters of the current vehicle are determined based on the concentration of characteristic components in the vehicle's interior air. This not only accurately reflects the in-vehicle air quality but also provides a unified data basis for the coordinated adjustment of multiple devices such as in-vehicle air purifiers and in-vehicle fragrance devices, thereby avoiding adjustment conflicts and improving adjustment accuracy. Finally, the driver's state evaluation parameters are determined based on the current vehicle's driver's physiological data. This allows the subsequently determined fragrance adjustment parameters to consider the driver's real-time physical and mental needs, achieving driver state adaptability of air conditioning and further improving the humanization level of the adjustment. Then, the scene assessment parameters, air quality assessment parameters, and driver state assessment parameters are weighted to obtain the current vehicle's fragrance adjustment parameters. On the one hand, this avoids single-dimensional decision-making bias and achieves optimal adaptation of multiple factors such as scene, air quality, and driver state. On the other hand, this processing method can cover the general needs of most users based on standardized basic logic, and can also meet the personalized needs of different users through dynamic weight adjustment or subsequent user preference correction, achieving a balance between universality and customization in fragrance adjustment. Finally, the current vehicle's air conditioning strategy is determined based on the air quality assessment parameters and fragrance adjustment parameters. This strategy can achieve automatic and efficient coordination of air purification and fragrance release, energy-saving operation, and personalized adaptation while prioritizing ensuring that the in-vehicle air quality meets standards. It ensures a synergistic balance between "health" and "comfort," avoids adjustment conflicts, and further improves the accuracy and targeting of the adjustment strategy, ultimately effectively improving the user's driving experience. Therefore, the technical solution of this invention can solve the problem of low accuracy and negative impact on the user's driving experience caused by the inability to dynamically and accurately adjust according to real-time environmental changes in existing technologies.

[0013] Secondly, embodiments of the present invention also provide an air conditioning device for a vehicle, the device comprising:

[0014] The scenario determination module is used to determine the scenario evaluation parameters of the current vehicle based on the current vehicle's road condition data, driving condition data, and driving weather data.

[0015] The air quality determination module is used to determine the air quality assessment parameters of the current vehicle based on the concentration of characteristic components in the in-vehicle air.

[0016] The status determination module is used to determine the driver status assessment parameters of the current vehicle based on the driver's physiological data of the current vehicle.

[0017] The parameter adjustment determination module is used to perform weighted processing on the scene evaluation parameters, the air quality evaluation parameters, and the driver state evaluation parameters to obtain the current vehicle fragrance adjustment parameters;

[0018] An adjustment module is used to determine the current air conditioning strategy of the vehicle based on the air quality assessment parameters and the fragrance adjustment parameters.

[0019] Thirdly, embodiments of the present invention also provide a vehicle, the vehicle comprising:

[0020] At least one processor; and a memory communicatively connected to said at least one processor;

[0021] The memory stores a computer program that can be executed by the at least one processor, which is then executed by the at least one processor to enable the at least one processor to perform the vehicle air conditioning method according to any embodiment of the present invention.

[0022] Fourthly, embodiments of the present invention also provide a storage medium containing computer-executable instructions, which, when executed by a computer processor, implement the vehicle air conditioning method described in any embodiment of the present invention.

[0023] It should be noted that the aforementioned computer instructions may be stored, in whole or in part, on a computer-readable storage medium. This computer-readable storage medium may be packaged together with the processor of the vehicle's air conditioning system, or it may be packaged separately from the processor of the vehicle's air conditioning system; this application does not impose any limitations on this.

[0024] The descriptions of the second, third, and fourth aspects in this application can be referenced to the detailed description of the first aspect; and the beneficial effects described in the second, third, and fourth aspects can be referenced to the analysis of the beneficial effects of the first aspect, which will not be repeated here.

[0025] In this application, the name of the air conditioning device for the aforementioned vehicle does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear under other names. As long as the function of each device or functional module is similar to that of this application, it falls within the scope of the claims of this application and its equivalents.

[0026] These or other aspects of this application will become more readily apparent in the following description. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A schematic flowchart of a vehicle air conditioning method provided in an embodiment of the present invention;

[0029] Figure 2 A schematic flowchart of another vehicle air conditioning method provided in an embodiment of the present invention;

[0030] Figure 3 A schematic diagram of the structure of an air conditioning device for a vehicle provided in an embodiment of the present invention;

[0031] Figure 4 This is a structural schematic diagram of a vehicle provided in an embodiment of the present invention. Detailed Implementation

[0032] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0033] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0034] The terms "first" and "second," etc., used in the specification and drawings of this application are used to distinguish different objects or to distinguish different treatments of the same object, rather than to describe a specific order of objects.

[0035] Furthermore, the terms "comprising" and "having," and any variations thereof, used in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0036] Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the figures. The process can correspond to a method, function, procedure, subroutine, subroutine, etc. Moreover, without conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0037] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0038] In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0039] Figure 1 This is a flowchart illustrating a vehicle air conditioning method according to an embodiment of the present invention. This embodiment is applicable to situations where the air inside a vehicle needs to be automatically adjusted for the user based on actual conditions. The method can be executed by the vehicle's air conditioning device, which can be implemented in software and / or hardware. For example, the device can be a vehicle. (Reference) Figure 1 The air conditioning method for a vehicle in this embodiment specifically includes the following steps:

[0040] Step 110: Determine the scenario evaluation parameters for the current vehicle based on the current road condition data, driving condition data, and driving weather data.

[0041] Specifically, "current vehicle" refers to a vehicle requiring air conditioning. Driving condition data refers to real-time data reflecting the current road environment and traffic conditions during vehicle operation. Examples include road type (e.g., urban roads, highways), road surface condition (e.g., smooth, potholed), and traffic flow (e.g., congested, smooth). Driving performance data refers to dynamic data reflecting the vehicle's own driving status during operation. Examples include driving time, speed, acceleration, braking frequency, and gear usage. Driving weather data refers to real-time meteorological conditions in the current driving area during vehicle operation. Examples include temperature, humidity, air pressure, and weather type (e.g., sunny, rainy, foggy, snowy). Scene evaluation parameters are quantitative indicators calculated based on driving condition data, driving performance data, and driving weather data, used to define the overall environmental scene in which the vehicle is currently located.

[0042] In practice, the vehicle's integrated sensor systems (such as speed sensors, positioning systems, navigation systems, cameras, radar, and interfaces with meteorological bureaus) can first collect current road condition data, driving performance data, and weather data. Then, these three types of data are input into a pre-trained scene evaluation parameter determination model to obtain the vehicle's scene evaluation parameters. The scene evaluation parameter determination model refers to a model trained on a deep learning model based on historical road condition data, historical driving performance data, historical weather data, and corresponding real-world calibrated scene evaluation parameters for different vehicles.

[0043] In this embodiment, the above steps allow the subsequently determined fragrance adjustment parameters to fully consider the current environmental requirements, thereby improving the accuracy of the subsequently determined air conditioning strategy and achieving scene adaptability of air conditioning.

[0044] Step 120: Determine the air quality assessment parameters for the current vehicle based on the concentration of characteristic components in the in-vehicle air.

[0045] Specifically, the concentration of characteristic components in in-vehicle air refers to the content of specific chemical components in the air inside a vehicle that affect human perception or health. For example, the concentration of characteristic components in in-vehicle air can be the concentration of fine particulate matter, carbon dioxide, or odorous substances (such as sweat or smoke). Air quality assessment parameters are quantitative indicators derived from the analysis of the concentration of characteristic components in in-vehicle air, used to evaluate the current air quality inside the vehicle.

[0046] In practice, the concentration of characteristic components in the vehicle's interior air can be obtained by installing dedicated sensors (such as fine particulate matter sensors, volatile organic compound sensors, carbon dioxide sensors, and odor detection sensors) at key locations in the vehicle (such as the center console air vents, under the seats, and the roof). The collected in-vehicle air characteristic component concentrations are then preprocessed (e.g., filtering out anomalies caused by sensor vibrations and temperature fluctuations). The preprocessed concentrations are then input into a pre-trained air quality assessment parameter determination model to obtain the vehicle's air quality assessment parameters. This air quality assessment parameter determination model refers to a model trained on a deep learning model based on historical in-vehicle air characteristic component concentrations and corresponding real-world calibrated air quality assessment parameters for different vehicles.

[0047] In this embodiment, the above steps can not only accurately reflect the air quality inside the vehicle, but also provide unified data for the coordinated adjustment of multiple devices such as in-vehicle air purifiers and in-vehicle fragrance devices, thereby avoiding adjustment conflicts and improving adjustment accuracy.

[0048] Step 130: Determine the driver status assessment parameters for the current vehicle based on the driver's physiological data of the current vehicle.

[0049] Specifically, driver physiological data refers to data reflecting the driver's physical physiological state, such as heart rate, blood pressure, respiratory rate, and body temperature. Driver state assessment parameters are parameters derived from the analysis of driver physiological data and used to assess the driver's current state (such as alertness, fatigue, or tension).

[0050] In practice, the driver's physiological data can be acquired first through in-vehicle sensors (such as sensors mounted on the steering wheel, seats, or smart bracelets (connected to the vehicle), or in-vehicle cameras). For example, a capacitive sensor on the steering wheel can be used to monitor the driver's heart rate fluctuations. Next, the raw physiological data is cleaned and calibrated to remove interfering data, ensuring the validity of the input data. Then, the preprocessed physiological data is input into a pre-trained state assessment parameter determination model to obtain the driver's state assessment parameters for the current vehicle. The state assessment parameter determination model refers to a model trained on a deep learning model based on historical driver physiological data from different vehicles and corresponding real-world calibrated driver state assessment parameters.

[0051] In this embodiment, the above steps enable the subsequently determined fragrance adjustment parameters to take into account the driver's real-time physical and mental needs, thereby achieving driver-state adaptability of air conditioning and further improving the humanization level of the adjustment.

[0052] Step 140: Weight the scene assessment parameters, air quality assessment parameters, and driver status assessment parameters to obtain the current vehicle fragrance adjustment parameters.

[0053] Specifically, fragrance adjustment parameters refer to quantitative indicators determined based on scenario assessment parameters, air quality assessment parameters, and driver status assessment parameters, which are used to guide the adjustment of vehicle fragrance devices (such as fragrance type, concentration, etc.).

[0054] In practice, after obtaining the scene evaluation parameters, air quality evaluation parameters, and driver state evaluation parameters, these parameters can be weighted to obtain the current vehicle's fragrance adjustment parameters. The specific calculation formula is as follows: Fragrance Adjustment Parameter = Scene Weight × Scene Evaluation Parameter + Air Quality Weight × Air Quality Evaluation Parameter + State Weight × Driver State Evaluation Parameter. Here, the scene weight, state weight, and air quality weight are all pre-set coefficients based on actual conditions or needs, and their sum is fixed at one. For example, if prioritizing driver state adaptation in the current scene, the weight allocation can be set as: Scene Weight = 0.3, Air Quality Weight = 0.3, State Weight = 0.4; if environmental adaptation is emphasized, then the scene weight = 0.4, air quality weight = 0.4, and driver state weight = 0.2.

[0055] To further enhance user experience and meet personalized needs, after obtaining the fragrance adjustment parameters, a user preference correction coefficient can be introduced to update them, resulting in updated fragrance adjustment parameters. For example: Updated fragrance adjustment parameters = User preference correction coefficient × Fragrance adjustment parameters. The user preference correction coefficient refers to the personalized correction value preset by the user according to their own needs, with a default value of 1.

[0056] In this embodiment, the above steps can avoid single-dimensional decision-making bias and achieve optimal adaptation of multiple factors such as scene, air quality and driver status. On the other hand, this processing method can cover the general needs of most users based on standardized basic logic, and can also meet the personalized needs of different users through dynamic weight adjustment or subsequent user preference correction, thus achieving a balance between universality and customization in fragrance adjustment.

[0057] Step 150: Determine the current vehicle's air conditioning strategy based on air quality assessment parameters and fragrance adjustment parameters.

[0058] Specifically, an air conditioning strategy refers to a comprehensive implementation plan for regulating the in-vehicle air environment, based on air quality and fragrance adjustment parameters. For example, an air conditioning strategy may include fragrance concentration, air conditioning fan speed, and air purifier fan speed.

[0059] In practice, after obtaining the air quality assessment parameters and fragrance adjustment parameters, it can be first determined whether the air quality assessment parameters are greater than the preset healthy air quality threshold. If they are greater, it means that the air quality inside the vehicle is good and there is no need to start the air purification process. At this time, the target fragrance concentration can be obtained by directly querying the correspondence table between fragrance adjustment parameters and fragrance concentration according to the fragrance adjustment parameters, and the in-vehicle fragrance box (or in-vehicle fragrance device) can be controlled to release the preset type (such as citrus) fragrance at that concentration. If the value is not greater than the specified value, it indicates that the current air quality inside the vehicle is substandard, requiring the activation of the air purification process. At this point, the target wind speed can be obtained by consulting the correspondence table between air quality assessment parameters and wind speed. The vehicle's air conditioning (switching to recirculation mode) or air purifier is then controlled to operate at the target wind speed, while the current wind speed setting is recorded and the air quality assessment parameters are continuously monitored. When the air quality assessment parameters rise above the preset healthy air quality threshold, the vehicle's air conditioning or air purifier maintains the previously recorded wind speed. Subsequently, the target fragrance concentration is obtained by consulting the correspondence table between fragrance adjustment parameters and fragrance concentration, and the fragrance box is controlled to release a preset type of fragrance at that concentration. The correspondence table between fragrance adjustment parameters and fragrance concentration refers to a pre-established table reflecting the mapping relationship between fragrance adjustment parameters and fragrance concentration based on actual conditions or needs. The correspondence table between air quality assessment parameters and wind speed also refers to a pre-established table reflecting the mapping relationship between air quality assessment parameters and wind speed based on actual conditions or needs.

[0060] Optionally, to further enhance the personalization and scene adaptability of fragrance adjustment, the type of fragrance released can be determined based on driver state assessment parameters or scene assessment parameters. Specifically, the target fragrance type (i.e., the type of fragrance released) can be obtained by querying the correspondence table between driver state assessment parameters and fragrance types based on driver state assessment parameters. For example: when 0.5 ≤ driver state assessment parameter < 0.8, the fragrance type is soothing; when driver state assessment parameter < 0.5, the fragrance type is highly soothing (such as deep lavender or valerian); when 0.8 ≤ driver state assessment parameter, the fragrance type is the default fragrance type (such as citrus). Similarly, the target fragrance type can be obtained by querying the scene assessment parameter and fragrance type correspondence table based on the scene assessment parameter. For example, when the scene assessment parameter = 1, the fragrance type is invigorating (such as mint or lemon); when the scene assessment parameter = 0.4, the fragrance type is focused (such as green tea or cedarwood); and when the scene assessment parameter = 0.7, the fragrance type is soothing (such as lavender or chamomile). The driver state assessment parameter and fragrance type correspondence table is a pre-established table reflecting the mapping relationship between driver state assessment parameters and fragrance types based on actual conditions or needs.

[0061] In this embodiment, through the above steps, it is possible to achieve automatic and efficient coordination, energy-saving operation and personalized adaptation of air purification and fragrance release while prioritizing ensuring that the air quality inside the vehicle meets the standards. This ensures a synergistic balance between "health and comfort" and avoids regulatory conflicts, while further improving the accuracy and targeting of the adjustment strategy, ultimately effectively enhancing the user's driving experience.

[0062] The vehicle air conditioning method provided in this invention first determines scenario evaluation parameters for the current vehicle based on current road condition data, driving operating condition data, and driving weather data. This allows the subsequently determined fragrance adjustment parameters to fully consider the current environmental needs, thereby improving the accuracy of the subsequently determined air conditioning strategy and achieving scenario adaptability of air conditioning. Next, air quality evaluation parameters are determined based on the concentration of characteristic components in the vehicle's interior air. This not only accurately reflects the in-vehicle air quality but also provides unified data for the coordinated adjustment of multiple devices such as in-vehicle air purifiers and fragrance devices, thus avoiding adjustment conflicts and improving adjustment accuracy. Finally, driver state evaluation parameters are determined based on the driver's physiological data. This allows the subsequently determined fragrance adjustment parameters to consider the driver's real-time physical and mental needs, achieving driver state adaptability of air conditioning and further improving the humanization of the adjustment. Then, the scene assessment parameters, air quality assessment parameters, and driver state assessment parameters are weighted to obtain the current vehicle's fragrance adjustment parameters. On the one hand, this avoids single-dimensional decision-making bias and achieves optimal adaptation of multiple factors such as scene, air quality, and driver state. On the other hand, this processing method can cover the general needs of most users based on standardized basic logic, and can also meet the personalized needs of different users through dynamic weight adjustment or subsequent user preference correction, achieving a balance between universality and customization in fragrance adjustment. Finally, the current vehicle's air conditioning strategy is determined based on the air quality assessment parameters and fragrance adjustment parameters. This strategy can achieve automatic and efficient coordination of air purification and fragrance release, energy-saving operation, and personalized adaptation while prioritizing ensuring that the in-vehicle air quality meets standards. It ensures a synergistic balance between "health" and "comfort," avoids adjustment conflicts, and further improves the accuracy and targeting of the adjustment strategy, ultimately effectively improving the user's driving experience. Therefore, the technical solution of this invention can solve the problem of low accuracy and negative impact on the user's driving experience caused by the inability to dynamically and accurately adjust according to real-time environmental changes in existing technologies.

[0063] Figure 2 This is a schematic flowchart illustrating another vehicle air conditioning method provided by an embodiment of the present invention. This embodiment is a specific implementation based on the above embodiments. In this embodiment, the method may further include:

[0064] Step 210: Determine the scenario evaluation parameters for the current vehicle based on the current road condition data, driving condition data, and driving weather data.

[0065] Furthermore, the driving road condition data, driving operating condition data, and driving weather data are standardized to obtain the driving road condition factor, driving operating condition factor, and driving weather factor for the current vehicle. The driving road condition factor, driving operating condition factor, and driving weather factor are weighted to obtain the scene classification factor for the current vehicle. The driving scene type of the current vehicle is determined based on the scene classification factor and the preset scene judgment threshold. Based on the driving scene type, the scene evaluation parameters for the current vehicle are obtained by querying the correspondence table between scene type and scene evaluation parameters.

[0066] Specifically, the driving road condition factor refers to standardized data with a uniform value range obtained after standardizing driving road condition data. The driving operating condition factor refers to standardized data with a uniform value range obtained after standardizing driving operating condition data. The driving weather factor refers to standardized data with a uniform value range obtained after standardizing driving weather data. The scenario classification factor refers to the comprehensive data obtained after weighting the driving road condition factor, driving operating condition factor, and driving weather factor, which can quantitatively reflect the overall characteristics of the current driving scenario. The preset scenario judgment threshold refers to the critical value of the scenario classification factor set in advance according to actual conditions or needs, used to classify different scenario types. The driving scenario type refers to the driving scenario category with clear characteristics classified based on the comparison results of the scenario classification factor and the preset scenario judgment threshold, such as urban congestion scenario, highway smooth flow scenario, rainy rural scenario, foggy commuting scenario, low cognitive load scenario, medium cognitive load scenario, and high cognitive load scenario. The mapping table between scenario types and scenario evaluation parameters refers to a mapping table that is pre-established according to actual conditions or needs, recording different driving scenario types and their corresponding scenario evaluation parameters. For example, the scenario evaluation parameter corresponding to the smooth highway scenario is 0.9, the scenario evaluation parameter corresponding to the urban congestion scenario is 0.5, and the scenario evaluation parameter corresponding to the rainy rural scenario is 0.3.

[0067] In practice, driving road condition data, driving operating condition data, and driving weather data can be standardized according to preset standardization rules to obtain the current vehicle's driving road condition factors, driving operating condition factors, and driving weather factors. For example, driving road condition data can be selected from road congestion status (including congested, smooth, and highway), driving operating condition data can be selected from driving duration, and driving weather data can be selected from weather type (including sunny, cloudy, rainy, and foggy). The preset standardization rule can be: Road congestion status: smooth corresponds to driving road condition. Factor = 1; Highway driving condition factor = 0.7; Congested driving condition factor = 0.3; Driving time: 0 to 2 hours corresponds to driving condition factor = 1; 2 to 5 hours corresponds to driving condition factor = 1 - (driving time - 2) / 3; 5 to 10 hours corresponds to driving condition factor = 0.5 - (driving time - 5) / 10; Weather type: Sunny day corresponds to driving weather factor = 1; Cloudy day corresponds to driving weather factor = 0.8; Rainy day corresponds to driving weather factor = 0.5; Fog / haze corresponds to driving weather factor = 0.2. The preset standardized rules are standardized rules determined in advance based on actual conditions or needs.

[0068] Next, the driving road condition factor, driving operating condition factor, and driving weather factor are weighted to obtain the current vehicle's scenario classification factor. The specific calculation formula is: Scenario Classification Factor = Road Condition Factor Weight × Driving Road Condition Factor + Driving Operating Condition Factor Weight × Driving Operating Condition Factor + Weather Factor Weight × Driving Weather Factor. Here, the road condition factor weight, operating condition factor weight, and weather factor weight are all pre-set weight coefficients based on actual conditions or needs, and their sum is fixed at 1. For example: Road condition factor weight = 0.4, operating condition factor weight = 0.3, and weather factor weight = 0.3.

[0069] Then, the driving scenario type of the current vehicle is determined based on the scenario classification factor and the preset scenario judgment threshold. For example, the preset scenario judgment thresholds include 0.4 and 0.8. If the scenario classification factor is ≥0.8, the driving scenario type is a low cognitive load scenario (these scenarios usually have good road conditions and less environmental interference, and the driver does not need to concentrate highly, resulting in a low cognitive load, such as driving at a constant speed on a sunny highway); if 0.4≤scenario classification factor<0.8, the driving scenario type is a medium cognitive load scenario (in these scenarios, the driver needs to maintain a certain level of attention to cope with relatively complex traffic conditions and environmental changes, but has not yet reached a highly stressful level, such as driving on a cloudy city road); if the scenario classification factor<0.4, the driving scenario type is a high cognitive load scenario (in these scenarios, the road conditions are complex and the environmental interference is great, the driver needs to concentrate highly, is in a state of high mental stress, and has a heavy cognitive load, such as driving in congested traffic on a smoggy day).

[0070] Finally, the scene evaluation parameters for the current vehicle are obtained by querying the correspondence table between scene type and scene evaluation parameters based on the driving scene type. For example, if the scene type is a low cognitive load scene, the scene evaluation parameter is 1; if the scene type is a medium cognitive load scene, the scene evaluation parameter is 0.7; and if the scene type is a high cognitive load scene, the scene evaluation parameter is 0.4.

[0071] In this embodiment, the above steps improve the accuracy and consistency of scene evaluation, thereby enhancing the accuracy of the determined scene evaluation parameters.

[0072] Optionally, the concentration of characteristic components in the vehicle interior air includes the concentration of organic matter, the concentration of inorganic matter, and the concentration of particulate matter.

[0073] Step 211: Weight the concentrations of organic matter, inorganic matter, and particulate matter in the vehicle to obtain air quality assessment parameters.

[0074] Specifically, the concentration of organic matter inside a vehicle refers to the content of volatile organic compounds in the air inside the vehicle. The concentration of inorganic matter inside a vehicle refers to the content of inorganic pollutants in the air inside the vehicle, such as carbon dioxide concentration and carbon monoxide concentration. The concentration of particulate matter inside a vehicle refers to the content of suspended particulate matter in the air inside the vehicle, such as inhalable particulate matter concentration and fine particulate matter concentration.

[0075] In practice, the concentrations of organic matter, inorganic matter, and particulate matter inside the vehicle can be standardized according to preset concentration standardization rules to obtain standard concentrations of organic matter, inorganic matter, and particulate matter. For example, the concentration of inorganic matter can be selected as carbon dioxide concentration [range: 400-5000 parts per million (ppm)], the concentration of particulate matter can be selected as fine particulate matter concentration (range: 0-500 micrograms per cubic meter), and the concentration of organic matter can range from 0-10 milligrams per cubic meter. The preset concentration standardization rules can be: standard concentration of organic matter = (10 - organic matter concentration) / 10; standard concentration of inorganic matter = (5000 - carbon dioxide concentration) / 5000; standard concentration of particulate matter = (500 - fine particulate matter concentration) / 500. These preset concentration standardization rules are concentration-related standardization rules pre-set based on actual conditions or needs.

[0076] Next, the concentrations of organic matter, inorganic matter, and particulate matter in the standard vehicle interior are weighted to obtain air quality assessment parameters. The specific calculation formula is: Air Quality Assessment Parameter = Organic Matter Weight × Standard Vehicle Interior Organic Matter Concentration + Inorganic Matter Weight × Standard Vehicle Interior Inorganic Matter Concentration + Particulate Matter Weight × Standard Vehicle Interior Particulate Matter Concentration. Here, the weights of organic matter, inorganic matter, and particulate matter are pre-set weighting coefficients based on actual conditions or needs, and their sum is fixed at 1. For example: Organic Matter Weight = 0.3, Inorganic Matter Weight = 0.3, Particulate Matter Weight = 0.4.

[0077] In this embodiment, the accuracy of the determined air quality assessment parameters is improved through the above steps.

[0078] Optional, driver physiological data includes driver heart rate data and driver body temperature data.

[0079] Step 212: Weight the driver's heart rate data and driver's body temperature data to obtain driver status assessment parameters.

[0080] In practice, driver heart rate and body temperature data can be standardized according to preset physiological standardization rules to obtain standard heart rate and body temperature data. For example, if the driver's heart rate is between 60-150 beats per minute and the driver's body temperature is between 36.0-37.5 degrees Celsius, the preset physiological standardization rules could be: For a driver's heart rate of 60-80 beats per minute, the standard heart rate = 1 - (driver's heart rate - 60) / 20; for a driver's heart rate of 81-120 beats per minute, the standard heart rate = 0.8 - (driver's heart rate - 80) / 40; for a driver's heart rate of 120-150 beats per minute, the standard heart rate = 0.4 - (driver's heart rate - 120) / 30; and the standard body temperature = 1 - (driver's body temperature - 36) / 1.5. These preset physiological standardization rules are pre-defined rules for standardizing the driver's physiological data based on actual conditions or needs.

[0081] Next, the standard heart rate data and standard body temperature data are weighted to obtain driver status assessment parameters. The specific calculation formula is: Driver status assessment parameter = Heart rate weight × Standard heart rate data + Body temperature weight × Standard body temperature data. Here, the heart rate weight and body temperature weight are pre-set weighting coefficients based on actual conditions or needs, and their sum is fixed at 1. For example: Heart rate weight = 0.6, Body temperature weight = 0.4.

[0082] In this embodiment, the above steps reduce the complexity of determining the driver state assessment parameters.

[0083] Step 213: Weight the scene assessment parameters, air quality assessment parameters, and driver status assessment parameters to obtain the current vehicle fragrance adjustment parameters.

[0084] For example, the fragrance adjustment parameter = user preference correction coefficient × (scene weight × scene evaluation parameter + air quality weight × air quality evaluation parameter + state weight × driver state evaluation parameter), where scene weight, state weight, and air quality weight are all coefficients preset in advance according to actual conditions or needs, and the sum of the three is fixed at one. For example, the weight allocation can be set as: scene weight = 0.3, air quality weight = 0.3, state weight = 0.4; the user preference correction coefficient is a personalized correction value preset by the user in advance according to their own needs, with a default value of 1.

[0085] Optionally, the current vehicle includes an in-vehicle air purifier and an in-vehicle fragrance system.

[0086] Step 214: Determine the target fragrance concentration for the current vehicle based on the fragrance adjustment parameters.

[0087] Specifically, the target fragrance concentration refers to the specific release concentration value that the in-vehicle fragrance device needs to achieve, determined based on fragrance adjustment parameters.

[0088] In practice, the target fragrance concentration = 0.1 + (fragrance adjustment parameter - 0.2) × (0.9 / 1.0).

[0089] In addition, to prevent the fragrance adjustment parameters from exceeding reasonable ranges, resulting in excessively high fragrance release concentrations (which may irritate the driver) or excessively low concentrations (which may not provide any actual comfort), boundary constraints need to be applied to the fragrance adjustment parameters: when the fragrance adjustment parameter is less than the preset minimum fragrance adjustment parameter (e.g., 0.2), it is forcibly set to the preset minimum fragrance adjustment parameter; when the fragrance adjustment parameter is greater than the preset maximum fragrance adjustment parameter (e.g., 1.2), it is forcibly set to the preset maximum fragrance adjustment parameter. The preset minimum fragrance adjustment parameter refers to the lowest adjustment parameter value preset based on actual conditions or needs. The preset maximum fragrance adjustment parameter refers to the highest adjustment parameter value preset based on actual conditions or needs.

[0090] In this embodiment, through the above steps, the changes in fragrance adjustment parameters can be directly converted into corresponding changes in the target fragrance concentration, avoiding the problem that small fluctuations in parameters can lead to large jumps in concentration; at the same time, by fixing the benchmark value, the target fragrance concentration is limited to a reasonable range, effectively avoiding problems caused by excessively high or low concentrations.

[0091] Furthermore, before step 214, the process includes: determining whether the in-vehicle fragrance device is activated; if activated, triggering the execution of determining the target fragrance concentration of the current vehicle based on fragrance adjustment parameters; if not activated, determining the target fragrance type of the current vehicle based on driving scenario type and driver state assessment parameters, and determining the target fragrance concentration of the current vehicle based on fragrance adjustment parameters; and determining the air conditioning strategy of the current vehicle based on air quality assessment parameters, target fragrance concentration, and target fragrance type.

[0092] Specifically, in-vehicle fragrance devices refer to equipment installed inside vehicles to release fragrance substances to improve the odor inside the vehicle and enhance driving comfort. They typically allow adjustment of the fragrance release concentration and switching between fragrance types (such as energizing or soothing). The target fragrance type refers to the fragrance category determined based on the driving scenario and driver condition assessment parameters, which is suitable for the current needs.

[0093] In practice, the activation status of the in-vehicle fragrance device can be determined by reading its current operating status parameters (such as power signal and control module command status). If activated, it indicates that the current fragrance type has been pre-selected by the user. To reduce redundant calculations and improve adjustment efficiency, the process can return to the step of determining the target fragrance concentration for the current vehicle based on fragrance adjustment parameters. If not activated, it indicates that there is no user-preset fragrance type. In this case, the target fragrance type for the current vehicle can be determined based on the driving scenario type and driver state assessment parameters, and the target fragrance concentration can also be determined based on the fragrance adjustment parameters. For example, the driving scenario type and driver state assessment parameters can be input into a pre-trained fragrance type determination model to obtain the target fragrance type. The fragrance type determination model refers to a model trained on a deep learning model based on different historical driving scenario types, historical driver state assessment parameters, and corresponding fragrance types.

[0094] Finally, the air conditioning strategy for the vehicle is determined based on air quality assessment parameters, target fragrance concentration, and target fragrance type. For example, the fan speed of the in-vehicle air purifier is determined based on the air quality assessment parameters, and the in-vehicle air purifier is controlled to operate at the determined fan speed. The release concentration of the in-vehicle fragrance device is adjusted to the target fragrance concentration, and the released fragrance type is adjusted to the target fragrance type.

[0095] Optionally, to further enhance the flexibility and adaptability of fragrance adjustment (e.g., if the user has preset a fragrance type, but the current scenario or their own state has changed, and the original type is no longer suitable), when it is confirmed that the in-vehicle fragrance device is activated, the target fragrance type for the current vehicle can be redefined based on the driving scenario type and driver state assessment parameters. Simultaneously, the target fragrance concentration for the current vehicle can be determined based on fragrance adjustment parameters. Finally, the air conditioning strategy for the current vehicle is determined based on air quality assessment parameters, the target fragrance concentration, and the target fragrance type.

[0096] In this embodiment, the above steps not only reduce redundant calculations and improve adjustment efficiency, but also improve the accuracy of fragrance matching.

[0097] Furthermore, the target fragrance type of the current vehicle is determined based on the driving scenario type and driver state assessment parameters, including: determining a correspondence table between the state assessment parameters and fragrance types corresponding to the driving scenario type; and determining the target fragrance type of the current vehicle based on the driver state assessment parameters in the correspondence table between the state assessment parameters and fragrance types corresponding to the driving scenario type.

[0098] Specifically, the correspondence table between state assessment parameters and fragrance types refers to a standardized table that is pre-defined for each type of driving scenario, linking the range of driver state assessment parameters with the appropriate fragrance type.

[0099] In practice, we can first determine the correspondence between the driving scenario type and the corresponding state assessment parameters and fragrance types in a table. Then, based on the driver's state assessment parameters, we can query the above correspondence table to obtain the target fragrance type for the current vehicle. For example, driving scenario types include low cognitive load scenarios, medium cognitive load scenarios, and high cognitive load scenarios. Low cognitive load scenario: when the driver's state assessment parameter is ≥0.7, the fragrance type is mint + citrus; when the driver's state assessment parameter is <0.7, the fragrance type is mint + lemon + rosemary. Medium cognitive load scenario: when the driver's state assessment parameter is ≥0.6, the fragrance type is bergamot + lavender; when the driver's state assessment parameter is <0.6, the fragrance type is lavender + sweet orange. High cognitive load scenario: when the driver's state assessment parameter is ≥0.5, the fragrance type is lavender + cedarwood; when the driver's state assessment parameter is <0.5, the fragrance type is cedarwood + sandalwood.

[0100] In this embodiment, the accuracy of the determined fragrance type is improved through the above steps.

[0101] Step 215: If the air quality assessment parameter is less than the first quality assessment parameter, adjust the wind speed of the vehicle air purification device to the first preset wind speed.

[0102] Specifically, the first quality assessment parameter refers to a pre-set threshold value (e.g., 0.5) used to distinguish between "poor air quality" and "air quality within safe limits." The first preset wind speed refers to the preset wind speed value (e.g., level 5 wind speed) for the in-vehicle air purification device in the context of "poor air quality" scenarios. An in-vehicle air purification device refers to equipment installed inside a vehicle to improve in-vehicle air quality. For example, an in-vehicle air purification device includes a pre-filter, HEPA filter, activated carbon filter, and photocatalyst layer.

[0103] In practice, when the air quality assessment parameter is lower than the first quality assessment parameter, it indicates that the current concentration of pollutants inside the vehicle is high and the air quality is poor. At this time, "improving air quality" should be the core priority, and the air purification function should be activated first. Specifically, the fan speed of the in-vehicle air purifier can be adjusted to the first preset fan speed and allowed to run continuously at this speed. At the same time, the in-vehicle fragrance device can be temporarily not activated during this stage to prevent the fragrance from mixing with residual pollutants and producing odors, thus ensuring that the purification effect is not interfered with.

[0104] In this embodiment, the above steps can not only quickly reduce pollutant concentration and protect the health of drivers and passengers, but also avoid resource waste and experience disruption.

[0105] Furthermore, after adjusting the wind speed of the in-vehicle air purifier to the first preset wind speed, the method further includes: obtaining the concentration of characteristic components in the in-vehicle air of the current vehicle; determining the air quality assessment parameters of the current vehicle based on the concentration of characteristic components in the in-vehicle air; and adjusting the release concentration of the in-vehicle fragrance device to the target fragrance concentration if the air quality assessment parameters are not less than the first quality assessment parameters.

[0106] In practice, after adjusting the fan speed of the in-vehicle air purifier to the first preset fan speed, the concentration of characteristic components in the vehicle's interior air can be re-acquired. Then, based on the concentration of these characteristic components, air quality assessment parameters for the current vehicle are determined, thereby reassessing the current in-vehicle air quality. If the recalculated air quality assessment parameters are not less than the first quality assessment parameter, it indicates that the concentration of pollutants in the vehicle has decreased to a safe range. At this point, the release concentration of the in-vehicle fragrance device can be adjusted to the target fragrance concentration.

[0107] In this embodiment, the above steps ensure that the fragrance release only occurs when the air quality meets the standards. This avoids the fragrance from masking the odor of pollutants, prevents users from ignoring the pollution problem inside the car due to fragrance interference, and reduces the health risk of inhaling harmful gases, thereby achieving more precise fragrance adjustment.

[0108] Step 216: When the air quality assessment parameter is not less than the first quality assessment parameter and less than the second quality assessment parameter, adjust the wind speed of the vehicle air purifier to the second preset wind speed and adjust the release concentration of the vehicle fragrance device to the target fragrance concentration.

[0109] Specifically, the second quality assessment parameter refers to a pre-set threshold value (e.g., 0.8) used to distinguish between "air quality meets standards" and "air quality is excellent," and its value is greater than the first quality assessment parameter. The second preset wind speed refers to the wind speed value of the in-vehicle air purifier preset for the "air quality meets standards" scenario (e.g., level 3 wind speed). The third preset wind speed refers to the wind speed value of the in-vehicle air purifier preset for the "air quality is excellent" scenario (e.g., level 1 wind speed). The second preset wind speed is less than the first preset wind speed; the third preset wind speed is less than the second preset wind speed.

[0110] In practice, when the first quality assessment parameter is less than the air quality assessment parameter and is less than the second quality assessment parameter, it means that the current concentration of pollutants in the vehicle is within a safe range but not optimal. At this time, it is necessary to balance air purification and fragrance experience. Specifically, the wind speed of the in-vehicle air purifier can be adjusted to the second preset wind speed, allowing the device to run continuously at this wind speed, and the release concentration of the in-vehicle fragrance device can be adjusted to the target fragrance concentration.

[0111] In this embodiment, the above steps can improve driving comfort while maintaining air quality.

[0112] Step 217: If the air quality assessment parameter is not less than the second quality assessment parameter, adjust the wind speed of the vehicle air purifier to the third preset wind speed and adjust the release concentration of the vehicle fragrance device to the target fragrance concentration.

[0113] In practice, when the air quality assessment parameter is not less than the second quality assessment parameter, it indicates that the current air quality inside the vehicle is excellent. At this time, high-intensity purification is not necessary, and the focus of adjustment can be shifted to maintaining air quality and optimizing the fragrance experience. Specifically, the fan speed of the in-vehicle air purifier can be adjusted to the third preset fan speed, and the release concentration of the in-vehicle fragrance device can be adjusted to the target fragrance concentration.

[0114] In this embodiment, the above steps can maintain the cleanliness of the air inside the vehicle with the lowest energy consumption, minimize the noise of the device operation, and avoid disturbing the driving environment. At the same time, it can also allow the fragrance to diffuse fully in a clean and odorless environment, ensuring the accurate delivery of the refreshing and soothing fragrance effects, thereby maximizing the driving comfort.

[0115] It should be noted that steps 215, 216 and 217 above are three independently running branches, and one of the three branches can be executed.

[0116] The vehicle air conditioning method provided in this invention first determines the current vehicle's scenario evaluation parameters based on the vehicle's current road condition data, driving operating condition data, and driving weather data. This allows the subsequently determined fragrance adjustment parameters to fully consider the current environmental needs, thereby improving the accuracy of the subsequently determined air conditioning strategy and achieving scenario adaptability of air conditioning. Next, the concentrations of organic matter, inorganic matter, and particulate matter inside the vehicle are weighted to obtain air quality evaluation parameters, improving the accuracy of the determined air quality evaluation parameters. Then, driver heart rate data and driver body temperature data are weighted to obtain driver state evaluation parameters, reducing the complexity of the driver state evaluation parameter determination process. Then, the scene assessment parameters, air quality assessment parameters, and driver state assessment parameters are weighted to obtain the current vehicle's fragrance adjustment parameters. This approach avoids single-dimensional decision-making bias and achieves optimal adaptation across multiple factors, including scene, air quality, and driver state. Furthermore, this method leverages standardized logic to cover the general needs of most users while allowing for dynamic weight adjustments or subsequent user preference modifications to meet the personalized demands of different users, achieving a balance between universality and customization in fragrance adjustment. Based on the fragrance adjustment parameters, the target fragrance concentration for the current vehicle is determined. Changes in the fragrance adjustment parameters are directly translated into corresponding changes in the target fragrance concentration, avoiding the problem of small parameter fluctuations leading to large concentration jumps. Simultaneously, by fixing a baseline value, the target fragrance concentration is limited to a reasonable range, effectively avoiding problems caused by excessively high or low concentrations. Finally, when the air quality assessment parameters are lower than the first quality assessment parameter, the fan speed of the in-vehicle air purifier is adjusted to the first preset fan speed. This not only quickly reduces pollutant concentrations and protects the health of passengers but also avoids resource waste and user experience disruption. When the air quality assessment parameters are not less than the first quality assessment parameter and less than the second quality assessment parameter, adjusting the fan speed of the in-vehicle air purifier to the second preset fan speed and adjusting the release concentration of the in-vehicle fragrance device to the target fragrance concentration can improve driving comfort while maintaining air quality. When the air quality assessment parameters are not less than the second quality assessment parameter, adjusting the fan speed of the in-vehicle air purifier to the third preset fan speed and adjusting the release concentration of the in-vehicle fragrance device to the target fragrance concentration can maintain the cleanliness of the air inside the vehicle with the lowest energy consumption, minimize the operating noise of the device, and avoid disturbing the driving environment. At the same time, it can also allow the fragrance to diffuse fully in a clean and odor-free environment, ensuring the accurate delivery of refreshing and soothing fragrance effects, thereby maximizing driving comfort. Therefore, the technical solution of the present invention can solve the problem of low adjustment accuracy and negative impact on the user's driving experience caused by the inability to make dynamic and precise adjustments according to real-time environmental changes in the prior art.

[0117] Figure 3This is a schematic diagram of a vehicle air conditioning device provided in an embodiment of the present invention. This device belongs to the same inventive concept as the vehicle air conditioning methods in the above embodiments. Details not described in detail in the embodiments of the vehicle air conditioning device can be found in the embodiments of the vehicle air conditioning methods described above. Figure 3 As shown, the device includes:

[0118] like Figure 3 As shown, the device includes:

[0119] The scenario determination module 310 is used to determine the scenario evaluation parameters of the current vehicle based on the current vehicle's road condition data, driving condition data and driving weather data.

[0120] Air quality determination module 320 is used to determine the air quality assessment parameters of the current vehicle based on the concentration of characteristic components in the in-vehicle air.

[0121] The state determination module 330 is used to determine the driver state assessment parameters of the current vehicle based on the driver's physiological data of the current vehicle.

[0122] The parameter adjustment determination module 340 is used to perform weighted processing on the scene evaluation parameters, the air quality evaluation parameters and the driver state evaluation parameters to obtain the current vehicle fragrance adjustment parameters;

[0123] The adjustment module 350 is used to determine the current air conditioning strategy of the vehicle based on the air quality assessment parameters and the fragrance adjustment parameters.

[0124] Based on the above embodiments, the scene determination module 310 is specifically used for:

[0125] The driving road condition data, driving operating condition data, and driving weather data are standardized to obtain the driving road condition factor, driving operating condition factor, and driving weather factor for the current vehicle. These factors are then weighted to obtain the scene classification factor for the current vehicle. Based on the scene classification factor and a preset scene judgment threshold, the driving scene type of the current vehicle is determined. Finally, based on the driving scene type, a query is performed in the correspondence table between scene types and scene evaluation parameters to obtain the scene evaluation parameters for the current vehicle.

[0126] Based on the above embodiments, the current vehicle includes an in-vehicle air purification device and an in-vehicle fragrance device, and the adjustment module 350 is specifically used for:

[0127] Based on the fragrance adjustment parameters, the target fragrance concentration for the current vehicle is determined; if the air quality assessment parameter is less than the first quality assessment parameter, the fan speed of the in-vehicle air purifier is adjusted to a first preset fan speed; if the air quality assessment parameter is not less than the first quality assessment parameter and is less than the second quality assessment parameter, the fan speed of the in-vehicle air purifier is adjusted to a second preset fan speed, and the release concentration of the in-vehicle fragrance device is adjusted to the target fragrance concentration; if the air quality assessment parameter is not less than the second quality assessment parameter, the fan speed of the in-vehicle air purifier is adjusted to a third preset fan speed, and the release concentration of the in-vehicle fragrance device is adjusted to the target fragrance concentration; wherein, the second preset fan speed is less than the first preset fan speed; and the third preset fan speed is less than the second preset fan speed.

[0128] Based on the above embodiments, the device further includes:

[0129] The coordinated adjustment module is used to obtain the concentration of characteristic components in the in-vehicle air after adjusting the wind speed of the in-vehicle air purifier to a first preset wind speed; determine the air quality assessment parameters of the current vehicle based on the concentration of characteristic components in the in-vehicle air; and adjust the release concentration of the in-vehicle fragrance device to the target fragrance concentration if the air quality assessment parameters are not less than the first quality assessment parameters.

[0130] Based on the above embodiments, the device further includes:

[0131] The determination module is used to determine whether the in-vehicle fragrance device is activated before determining the target fragrance concentration of the current vehicle based on the fragrance adjustment parameters; if activated, it triggers the execution of determining the target fragrance concentration of the current vehicle based on the fragrance adjustment parameters; if not activated, it determines the target fragrance type of the current vehicle based on the driving scenario type and the driver state assessment parameters, and determines the target fragrance concentration of the current vehicle based on the fragrance adjustment parameters; and determines the air conditioning strategy of the current vehicle based on the air quality assessment parameters, the target fragrance concentration, and the target fragrance type.

[0132] Based on the above embodiments, the determination module determines the target fragrance type of the current vehicle according to the driving scenario type and the driver state evaluation parameters, including:

[0133] Based on the driving scenario type, a correspondence table between the state evaluation parameters and fragrance types corresponding to the driving scenario type is determined; based on the driver state evaluation parameters in the correspondence table between the state evaluation parameters and fragrance types corresponding to the driving scenario type, the target fragrance type of the current vehicle is determined.

[0134] Based on the above embodiments, the concentration of characteristic components in the vehicle interior air includes the concentration of organic matter, the concentration of inorganic matter, and the concentration of particulate matter. The air quality determination module 320 is specifically used for:

[0135] The air quality assessment parameters are obtained by weighting the concentrations of organic matter, inorganic matter, and particulate matter in the vehicle.

[0136] Accordingly, the driver's physiological data includes the driver's heart rate data and the driver's body temperature data. The state determination module 330 is specifically used for:

[0137] The driver's heart rate data and the driver's body temperature data are weighted and processed to obtain the driver's state assessment parameters.

[0138] The vehicle air conditioning device provided in the embodiments of the present invention can execute the vehicle air conditioning method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of executing the method.

[0139] It is worth noting that in the embodiments of the air conditioning device for the above-mentioned vehicle, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the present invention.

[0140] Figure 4 This is a structural schematic diagram of a vehicle provided in an embodiment of the present invention. Figure 4 A block diagram of an exemplary vehicle 4 suitable for implementing embodiments of the present invention is shown. Figure 4 The vehicle 4 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0141] like Figure 4 As shown, vehicle 4 is represented in the form of a general-purpose computing electronic device. The components of vehicle 4 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0142] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0143] Vehicle 4 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by vehicle 4, including volatile and non-volatile media, removable and non-removable media.

[0144] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Vehicle 4 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (… Figure 4 Not shown; usually referred to as a "hard drive"). Although Figure 4 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0145] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of the present invention.

[0146] Vehicle 4 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with vehicle 4, and / or with any device that enables vehicle 4 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, vehicle 4 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. Figure 4 As shown, network adapter 20 communicates with other modules of vehicle 4 via bus 18. It should be understood that, although... Figure 4As not shown in the diagram, other hardware and / or software modules may be used in conjunction with vehicle 4, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0147] Processing unit 16 executes various functional applications and page displays by running programs stored in system memory 28, such as implementing the vehicle air conditioning method provided in this embodiment of the invention, which includes:

[0148] The scenario evaluation parameters for the current vehicle are determined based on the current road condition data, driving condition data, and driving weather data.

[0149] The air quality assessment parameters for the current vehicle are determined based on the concentration of characteristic components in the in-vehicle air.

[0150] Determine the driver's status assessment parameters for the current vehicle based on the driver's physiological data.

[0151] The scene evaluation parameters, air quality evaluation parameters, and driver state evaluation parameters are weighted to obtain the current vehicle fragrance adjustment parameters;

[0152] The air conditioning strategy for the current vehicle is determined based on the air quality assessment parameters and the fragrance adjustment parameters.

[0153] Of course, those skilled in the art will understand that the processor can also implement the technical solution of the vehicle air conditioning method provided in any embodiment of the present invention.

[0154] This invention provides a computer-readable storage medium storing a computer program thereon. When executed by a processor, the program implements, for example, the air conditioning method for a vehicle provided in this invention, the method comprising:

[0155] The scenario evaluation parameters for the current vehicle are determined based on the current road condition data, driving condition data, and driving weather data.

[0156] The air quality assessment parameters for the current vehicle are determined based on the concentration of characteristic components in the in-vehicle air.

[0157] Determine the driver's status assessment parameters for the current vehicle based on the driver's physiological data.

[0158] The scene evaluation parameters, air quality evaluation parameters, and driver state evaluation parameters are weighted to obtain the current vehicle fragrance adjustment parameters;

[0159] The air conditioning strategy for the current vehicle is determined based on the air quality assessment parameters and the fragrance adjustment parameters.

[0160] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0161] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0162] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0163] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0164] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computing device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0165] Furthermore, the acquisition, storage, use, and processing of data in the technical solution of this invention all comply with relevant laws and regulations.

[0166] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A method for air conditioning in a vehicle, characterized in that, The method includes: The scenario evaluation parameters for the current vehicle are determined based on the current road condition data, driving condition data, and driving weather data. The air quality assessment parameters for the current vehicle are determined based on the concentration of characteristic components in the in-vehicle air. Determine the driver's status assessment parameters for the current vehicle based on the driver's physiological data. The scene evaluation parameters, air quality evaluation parameters, and driver state evaluation parameters are weighted to obtain the current vehicle fragrance adjustment parameters; The air conditioning strategy for the current vehicle is determined based on the air quality assessment parameters and the fragrance adjustment parameters. The process of determining scenario evaluation parameters for the current vehicle based on its current road condition data, operating condition data, and weather data includes: standardizing the road condition data, operating condition data, and weather data to obtain corresponding road condition factors, operating condition factors, and weather factors for the current vehicle; weighting the road condition factors, operating condition factors, and weather factors to obtain scenario classification factors for the current vehicle; determining the driving scenario type of the current vehicle based on the scenario classification factors and a preset scenario judgment threshold; and querying a mapping table between scenario types and scenario evaluation parameters based on the driving scenario type to obtain the scenario evaluation parameters for the current vehicle. The mapping table between scenario types and scenario evaluation parameters is a pre-established mapping table that records different driving scenario types and corresponding scenario evaluation parameters according to actual conditions or needs. The current vehicle includes an in-vehicle air purification device and an in-vehicle fragrance device. An air conditioning strategy for the current vehicle is determined based on the air quality assessment parameters and the fragrance adjustment parameters, including: determining a target fragrance concentration for the current vehicle based on the fragrance adjustment parameters; adjusting the fan speed of the in-vehicle air purification device to a first preset fan speed when the air quality assessment parameters are less than a first quality assessment parameter; adjusting the fan speed of the in-vehicle air purification device to a second preset fan speed and adjusting the release concentration of the in-vehicle fragrance device to the target fragrance concentration when the air quality assessment parameters are not less than the first quality assessment parameter and are less than a second quality assessment parameter; adjusting the fan speed of the in-vehicle air purification device to a third preset fan speed and adjusting the release concentration of the in-vehicle fragrance device to the target fragrance concentration when the air quality assessment parameters are not less than the second quality assessment parameter; wherein the second preset fan speed is less than the first preset fan speed; and the third preset fan speed is less than the second preset fan speed.

2. The air conditioning method for a vehicle according to claim 1, characterized in that, After adjusting the wind speed of the vehicle-mounted air purification device to a first preset wind speed, the method further includes: Obtain the concentration of characteristic components in the air inside the current vehicle; The air quality assessment parameters for the current vehicle are determined based on the concentration of characteristic components in the in-vehicle air. If the air quality assessment parameter is not less than the first quality assessment parameter, the release concentration of the in-vehicle fragrance device is adjusted to the target fragrance concentration.

3. The air conditioning method for a vehicle according to claim 1, characterized in that, Before determining the target fragrance concentration for the current vehicle based on the fragrance adjustment parameters, the process also includes: Determine whether the in-vehicle fragrance device is activated; If activated, it will trigger the determination of the target fragrance concentration for the current vehicle based on the fragrance adjustment parameters; If not activated, the target fragrance type for the current vehicle is determined based on the driving scenario type and the driver state assessment parameters, and the target fragrance concentration for the current vehicle is determined based on the fragrance adjustment parameters; the air conditioning strategy for the current vehicle is determined based on the air quality assessment parameters, the target fragrance concentration, and the target fragrance type.

4. The air conditioning method for a vehicle according to claim 3, characterized in that, The target fragrance type for the current vehicle is determined based on the driving scenario type and the driver state evaluation parameters, including: Based on the driving scenario type, a table showing the correspondence between the state evaluation parameters corresponding to the driving scenario type and the fragrance type is determined. Based on the driver state assessment parameters, the target fragrance type of the current vehicle is determined in the correspondence table between the state assessment parameters and fragrance types corresponding to the driving scenario type.

5. The air conditioning method for a vehicle according to claim 1, characterized in that, The concentration of characteristic components of in-vehicle air includes the concentration of organic matter, inorganic matter, and particulate matter. Based on the current concentration of characteristic components of in-vehicle air, air quality assessment parameters for the current vehicle are determined, including: The air quality assessment parameters are obtained by weighting the concentrations of organic matter, inorganic matter, and particulate matter in the vehicle. Accordingly, the driver's physiological data includes driver's heart rate data and driver's body temperature data. Based on the current vehicle's driver's physiological data, the driver's status assessment parameters for the current vehicle are determined, including: The driver's heart rate data and the driver's body temperature data are weighted and processed to obtain the driver's state assessment parameters.

6. An air conditioning device for a vehicle, characterized in that, The apparatus for using the air conditioning method for a vehicle as described in any one of claims 1 to 5 includes: The scenario determination module is used to determine the scenario evaluation parameters of the current vehicle based on the current vehicle's road condition data, driving condition data, and driving weather data. The air quality determination module is used to determine the air quality assessment parameters of the current vehicle based on the concentration of characteristic components in the in-vehicle air. The status determination module is used to determine the driver status assessment parameters of the current vehicle based on the driver's physiological data of the current vehicle. The parameter adjustment determination module is used to perform weighted processing on the scene evaluation parameters, the air quality evaluation parameters, and the driver state evaluation parameters to obtain the current vehicle fragrance adjustment parameters; An adjustment module is used to determine the current air conditioning strategy of the vehicle based on the air quality assessment parameters and the fragrance adjustment parameters.

7. A vehicle, characterized in that, The vehicles include: At least one processor; and a memory communicatively connected to said at least one processor; The memory stores a computer program that can be executed by the at least one processor, which is then executed by the at least one processor to enable the at least one processor to perform the air conditioning method for the vehicle according to any one of claims 1-5.

8. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the air conditioning method for the vehicle according to any one of claims 1-5.

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