Fragrance control method of vehicle, medium, equipment and product

Abstract

The embodiment of the invention discloses a fragrance control method for a vehicle, a medium, equipment and a product. The fragrance control method comprises the steps of obtaining vehicle data and environment sensing data; determining a current scene mode of the vehicle according to the vehicle data and the environment sensing data; determining a fragrance release parameter and an air conditioner control parameter corresponding to the scene mode from a preset strategy table; controlling a fragrance component of the vehicle to release fragrance based on the fragrance release parameter; and controlling the air conditioner diffusion fragrance of the vehicle based on the air conditioner control parameters. According to the embodiment of the invention, the driving scene is accurately identified through the multi-source data, the exclusive fragrance and air conditioner strategy is matched, differential control and fragrance and air conditioner cooperative work are realized, the target olfactory environment is created with the appropriate concentration and the airflow, the cabin atmosphere and the external scenery are deeply fused, passive response is upgraded to active adaptation, and the driving experience is improved. And the emotional feeling and immersion of the driving experience are obviously improved.

Description

Technical Field

[0001] This application belongs to the field of vehicle intelligent cockpit, specifically relating to a vehicle fragrance control method, storage medium, electronic device and computer program product. Background Technology

[0002] As the "third space" attribute of automobiles becomes increasingly prominent, users' demand for emotional and scenario-based experiences in the cabin environment is growing. However, traditional in-car fragrance systems often adopt a simple logic of "activating fragrance and internal circulation when an odor is detected" when dealing with different environments. This passive response control strategy is highly homogenized, lacks differentiation, and cannot provide users with an immersive experience. As a result, the user's driving experience is fragmented, making it difficult to meet users' pursuit of high-quality and emotional travel.

[0003] Therefore, how to differentiate vehicle fragrance settings in response to different environments is crucial for enhancing the user's driving experience. Summary of the Invention

[0004] The purpose of this application is to provide a vehicle fragrance control method, medium, device, and product that can solve the problem that traditional vehicle fragrance control strategies lack adaptability to different environments.

[0005] In a first aspect, embodiments of this application provide a method for controlling the fragrance of a vehicle, the method comprising: Acquire vehicle data and environmental perception data; The current scene mode of the vehicle is determined based on the vehicle data and the environmental perception data; Determine the fragrance release parameters and air conditioning control parameters corresponding to the scene mode from the preset strategy table; The fragrance release parameters are used to control the fragrance release of the vehicle's fragrance components. The air conditioning system of the vehicle is controlled to diffuse the fragrance based on the air conditioning control parameters.

[0006] Optionally, acquiring vehicle data and environmental perception data includes: The vehicle's positioning signal is collected based on the positioning sensor, and the positioning signal is decoded to obtain the vehicle data; The environmental perception data is obtained by acquiring image sequences of the vehicle's external surrounding environment based on a visual sensor and performing feature recognition on the image sequences.

[0007] Optionally, the vehicle data includes core data and auxiliary data, and the environmental perception data includes coarse-grained data and fine-grained data. Determining the current scene mode of the vehicle based on the vehicle data and the environmental perception data includes: The current scene category of the vehicle is determined based on the core data and the coarse-grained data; The current scene mode of the vehicle is determined based on the scene category, the auxiliary data, and the fine-grained data.

[0008] Optionally, the core data includes the vehicle's geographical location and speed, and the coarse-grained data is used to characterize the road type currently in which the vehicle is located. Determining the scene category of the vehicle based on the core data and the coarse-grained data includes: When the geographical location is in the city center, the driving speed is below a preset speed threshold, and the coarse-grained data indicates that the road type of the road the vehicle is currently on is a non-closed road, the scene category of the vehicle is currently in is determined to be an urban scene; otherwise, the scene category of the vehicle is currently in is determined to be a non-urban scene.

[0009] Optionally, the auxiliary data includes the vehicle's speed duration and altitude, and the fine-grained data includes building density, road features, vegetation type, and object features. Determining the current scene mode of the vehicle based on the scene category, the auxiliary data, and the fine-grained data includes: When the scene category is the urban scene, the vehicle speed lasts for a duration exceeding a first preset time threshold, and the building density is higher than a preset density threshold, the scene mode in which the vehicle is currently located is determined to be the bustling city mode. When the scene category is the non-urban scene, the vehicle speed lasts for more than a second preset time threshold, and the road feature is a preset highway feature, the scene mode in which the vehicle is currently located is determined to be the long-distance highway mode. When the scene category is the non-urban scene, the altitude exceeds the first preset altitude threshold and is less than the second preset altitude threshold, and the vegetation type is the preset dense tree vegetation type, the scene mode where the vehicle is currently located is determined to be the deep forest walk mode. When the scene category is the non-urban scene, the altitude exceeds the second preset altitude threshold, and the object feature is the preset flower sea feature, the scene mode where the vehicle is currently located is determined to be the wildflower mode; the first preset altitude threshold is less than the second preset altitude threshold.

[0010] Optionally, the fragrance release parameters include a target fragrance identifier, a target concentration, and a release period parameter. Controlling the vehicle's fragrance component to release fragrance based on the fragrance release parameters includes: Based on the target fragrance identifier, a target fragrance channel is determined among multiple fragrance channels of the fragrance component, and the target fragrance channel is activated; The pulse width modulation duty cycle of the target fragrance channel is adjusted based on the target concentration to control the release concentration of the fragrance; The opening and closing time of the target fragrance channel is adjusted based on the release cycle parameter to control the release cycle of the fragrance.

[0011] Optionally, the air conditioning control parameters include a target circulation mode, a target air volume level, and a target air speed. Controlling the vehicle's air conditioning to diffuse the fragrance based on the air conditioning control parameters includes: The air conditioner's circulation state is adjusted based on the target circulation mode; Adjust the airflow of the air conditioner based on the target airflow level; The air conditioner's fan speed is adjusted based on the target wind speed.

[0012] Secondly, embodiments of this application provide a storage medium that stores computer instructions, which, when executed by a computer, are used to perform the steps of the vehicle fragrance control method as described in the first aspect.

[0013] Thirdly, embodiments of this application provide an electronic device, including at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the steps of the vehicle fragrance control method as described in the first aspect.

[0014] Fourthly, embodiments of this application provide a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the vehicle fragrance control method as described in the first aspect.

[0015] In this embodiment, by acquiring vehicle data and environmental perception data, a precise, dynamic, and multi-dimensional understanding of the vehicle's driving environment is established, rather than relying solely on the single dimension of in-vehicle air quality. By determining the current scene mode of the vehicle through data, complex external physical environments (such as urban congestion, highway cruising, forests, and mountains) can be transformed into specific scenes that the system can recognize and process. Furthermore, by matching the fragrance release parameters and air conditioning control parameters corresponding to the scene mode from a preset strategy table, pre-customization and precise matching of strategies are achieved. Instead of using the same fragrance control strategy for all environments, a more precise approach is taken. Each scenario is configured with a unique fragrance and air conditioning control strategy, ensuring the differentiation of control. Based on parameter-coordinated control, the fragrance components release fragrance and the air conditioning diffuses fragrance, so that the fragrance can be created efficiently with appropriate concentration, through appropriate air ducts and airflow patterns, according to the needs of the scenario, to create the target olfactory environment. Ultimately, the differentiated strategy is transformed into an immersive driving experience that users can perceive and that blends with the external environment. This fundamentally changes the passive and single response mode of traditional control methods, and can actively create a cabin olfactory atmosphere that matches different driving environments, significantly improving the emotional and immersive driving experience. Attached Figure Description

[0016] Figure 1 This is a system architecture diagram of a fragrance control system provided in an embodiment of this application; Figure 2 This is a flowchart illustrating the steps of a vehicle fragrance control method provided in an embodiment of this application; Figure 3 This is an overall flowchart of a vehicle fragrance control method provided in an embodiment of this application; Figure 4 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0017] 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, 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.

[0018] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0019] The fragrance control method for vehicles provided in this application will be described in detail below with reference to the accompanying drawings, through specific embodiments and application scenarios.

[0020] Reference Figure 1 This is a system architecture diagram of a fragrance control system provided in an embodiment of this application. The system architecture mainly consists of an environmental perception module 101, a data fusion and scene determination module 102, a central control unit 103, a fragrance execution module 104, a user interaction module 105, and an air conditioning system interface module 106.

[0021] Reference Figure 2 This is a flowchart illustrating the steps of a vehicle fragrance control method provided in this application embodiment, specifically including the following steps: Step 201: Acquire vehicle data and environmental perception data; In this embodiment of the application, the system mainly collects vehicle data and environmental perception data through the environmental perception module in order to comprehensively and in real time perceive the vehicle's own status and the external driving environment.

[0022] In existing in-vehicle fragrance systems, fragrance recommendations are primarily based on cabin temperature, humidity, and user preferences, using machine learning models. This focus on cabin personalization lacks awareness and understanding of the external macro-environment (such as cities, highways, and natural scenery). Current fragrance control methods fail to synchronize and enhance the cabin environment with the external visual landscape at the olfactory level, resulting in a disconnect in the driving experience and failing to meet users' pursuit of high-quality, emotionally engaging travel. This application's embodiment utilizes multi-source information, including vehicle data and environmental perception data, to proactively identify the vehicle's macro-scene. This fundamentally shifts the fragrance control strategy from passively responding to cabin conditions to actively adapting to the external environment, thereby building an emotional bridge between the cabin interior and the external scenery at the olfactory level, providing a deeply immersive and highly contextualized driving experience.

[0023] Step 202: Determine the current scene mode of the vehicle based on the vehicle data and the environmental perception data; In this embodiment, the environmental perception module outputs the collected raw data to the data fusion and scene determination module. Specifically, the data fusion and scene determination module receives heterogeneous perception data from multiple sources, performs comprehensive analysis and processing of information such as position, speed, altitude, and visual semantics through a data fusion algorithm, and makes scene determination based on the fused high-dimensional feature data to determine the specific scene mode in which the vehicle is currently located. Each scene mode has its corresponding scene identifier.

[0024] Specifically, the data fusion and scene determination module is responsible for advanced cognition. This module receives raw data output from the environmental perception module and uses multi-source sensor fusion algorithms (such as those based on DS evidence theory or adaptive Kalman filtering) to address the uncertainties and limitations of single sensors, generating high-dimensional feature data with a higher understanding of environmental consistency and reliability. Subsequently, a rule-based expert system or a lightweight machine learning classifier (such as decision trees or SVM) maps the fused high-dimensional feature data to predefined scene patterns.

[0025] Step 203: Determine the fragrance release parameters and air conditioning control parameters corresponding to the scene mode from the preset strategy table; In this embodiment of the application, in order to achieve differentiated and intelligent environmental control, a preset strategy table is constructed to map scene modes to the optimal control strategy. After determining the current scene mode, the corresponding fragrance release parameters and air conditioning control parameters can be quickly matched and obtained from the preset strategy table.

[0026] Traditional in-vehicle fragrance systems employ highly homogenized control strategies, often relying on a simple logic of activating fragrance and recirculation upon detecting odors to address different environments. This lack of differentiation fails to provide an immersive experience of refined olfactory sensations in the city or natural breathing in the mountains. This application's embodiment, by predefining highly customized fragrance release parameters and air conditioning control parameters for different macroscopic scenarios and establishing precise mapping relationships, can dynamically invoke perfectly matched olfactory and ventilation strategies based on the external environment. This completely abandons single-response logic, providing a refreshing and sophisticated atmosphere in congested cities, offering cool and invigorating support on long highway journeys, and creating a tranquil and serene ambiance in natural forests. It truly achieves a high degree of synergy and emotional resonance between the cabin's olfactory experience and the external visual environment.

[0027] Step 204: Control the vehicle's fragrance components to release fragrance based on the fragrance release parameters; In this embodiment, the central control unit parses the fragrance release parameters into release commands and sends them to the fragrance execution module, so that the fragrance execution module controls the vehicle's fragrance components to select the target fragrance and adjust the release concentration and cycle.

[0028] Step 205: Control the vehicle's air conditioner to diffuse the fragrance based on the air conditioner control parameters.

[0029] In the embodiment of the present application, the central control unit simultaneously analyzes the air conditioner control parameters into control instructions and issues them to the vehicle's air conditioner through the air conditioner system interface module to coordinately adjust its circulation mode, air volume, and wind speed, so as to achieve the optimized diffusion and atmosphere creation of the fragrance in the cockpit.

[0030] In traditional in-vehicle fragrance systems, the fragrance function is only a simple indication of the wireless charging state, with a single function. In addition, although some systems can detect specific pollutants such as vehicle exhaust outside the vehicle and trigger the internal circulation or air purification, their response strategies are single (usually only switch or gear adjustment), and they cannot dynamically allocate completely different fragrance scents according to different types of external vehicle environments (such as bustling cities and forest wilderness), and form a deep and differentiated linkage strategy with the air conditioner system to achieve an immersive scenario experience. At the same time, the coordinated control of the fragrance system and the air conditioner system stays at the switch level and fails to achieve fine-tuning of the air volume, circulation mode, etc. according to the scenario requirements. For example, in the flower field mode, it can intelligently alternate the circulation to introduce a light fragrance while filtering pollen. In the embodiment of the present application, the fragrance and the air conditioner are used as a unified environmental control unit for integrated and programmed driving, which can accurately control the release intensity and rhythm of the fragrance according to the scenario requirements, and at the same time dynamically adjust the air conditioner, so that the fragrance is no longer an independently released smell, but an environmental spice accurately carried and allocated by the air conditioner system, thus achieving an upgrade from scented air to an olfactory atmosphere deeply bound to the external vehicle scenery, and finally achieving the full immersion and harmonious unity of the cockpit environment in the visual, tactile, and olfactory dimensions.

[0031] This application embodiment establishes a precise, dynamic, and multi-dimensional understanding of the vehicle's driving environment by acquiring vehicle data and environmental perception data, rather than relying solely on the single dimension of in-vehicle air quality. By determining the current scene mode of the vehicle through data, it can transform complex external physical environments (such as urban congestion, highway cruising, forests, and mountains) into specific scenes that the system can recognize and process. Furthermore, by matching the fragrance release parameters and air conditioning control parameters corresponding to the scene mode from a preset strategy table, it achieves pre-customization and precise matching of strategies. Instead of using the same fragrance control strategy for all environments, it provides a customized approach. Each scenario is configured with a dedicated fragrance and air conditioning control strategy, thus ensuring the differentiation of control. Based on parameter-coordinated control, the fragrance components release fragrance and the air conditioning diffuses fragrance, so that the fragrance can be created efficiently according to the needs of the scenario, with appropriate concentration, through appropriate air ducts and airflow patterns, to create the target olfactory environment. Ultimately, the differentiated strategy is transformed into an immersive driving experience that users can perceive and that blends with the external environment. This fundamentally changes the passive and single response mode in traditional control methods, and can actively create a cabin olfactory atmosphere that matches different driving environments, significantly improving the emotional and immersive driving experience.

[0032] In one embodiment of this application, acquiring vehicle data and environmental perception data includes: The vehicle's positioning signal is collected based on the positioning sensor, and the positioning signal is decoded to obtain the vehicle data; The environmental perception data is obtained by acquiring image sequences of the vehicle's external surrounding environment based on a visual sensor and performing feature recognition on the image sequences.

[0033] In this embodiment, the environmental perception module includes a high-precision GPS (Global Positioning System) sensor (positioning sensor) and a surround-view camera (visual sensor) image recognition processor, which are used to acquire data such as vehicle position, altitude, and vehicle speed, and run a deep learning-based target detection and scene segmentation model to identify fine-grained features of the surrounding environment, such as building outlines, tree density, flower types, road markings, and traffic flow.

[0034] Specifically, decoding the positioning signals collected by GPS sensors yields raw vehicle data containing latitude, longitude, speed, time, and altitude information. De-mosaicing, distortion correction, and white balance processing are performed on the raw Bayer format (an image format) images collected by surround-view cameras to obtain raw image sequences. These sequences are then processed by an image signal processor (ISP) or convolutional neural network model to obtain structured raw environmental perception data, which takes the form of an object list or semantic segmentation map with category labels and confidence levels.

[0035] This application embodiment performs preliminary structuring processing at the data acquisition source, which can provide high-quality, low-noise input for subsequent data fusion, effectively improving the overall efficiency and reliability of the system.

[0036] In one embodiment of this application, the vehicle data includes core data and auxiliary data, and the environmental perception data includes coarse-grained data and fine-grained data. Determining the current scene mode of the vehicle based on the vehicle data and the environmental perception data includes: The current scene category of the vehicle is determined based on the core data and the coarse-grained data; The current scene mode of the vehicle is determined based on the scene category, the auxiliary data, and the fine-grained data.

[0037] In this embodiment, vehicle data includes two parts: core data and auxiliary data. Core data refers to state data with a high frequency of change that is directly used for rapid classification of macro scenes, such as real-time geographical location (latitude and longitude) and instantaneous driving speed. Auxiliary data refers to relatively stable parameter data used for fine scene modification or verification under known macro categories, such as the duration of a specific state (e.g., low speed or high speed) and altitude.

[0038] Environmental perception data consists of two parts: coarse-grained data and fine-grained data. Coarse-grained data refers to overall environmental structure information used to assist in macro-level classification, such as the current road type (highway, municipal road, unpaved road). Fine-grained data refers to specific environmental objects and semantic information used for precise identification of micro-level scenes, such as building density, highway guardrail features, and the types and distribution density of trees / flowers.

[0039] Specifically, in determining the current scene mode of the vehicle, a two-stage inference is performed primarily through a machine learning classifier in the data fusion and scene determination module (e.g., a support vector machine or a lightweight fully connected neural network that takes fused features as input and scene mode as output). In the first stage, the classifier outputs a macroscopic scene category label based on core and coarse-grained data. In the second stage, based on the results of the first stage, the system selects a corresponding secondary classifier (or different decision branches of the same classifier). This classifier takes auxiliary and fine-grained data as its main input and ultimately outputs the specific scene mode.

[0040] It should be noted that the data fusion and scene determination module needs to perform spatiotemporal alignment and feature-level fusion of the original vehicle data and environmental perception data to generate a unified, multi-dimensional fused feature vector (fused feature data). This vector is then input into a machine learning classifier for end-to-end classification decisions. In the above description, vehicle data and environmental perception data are the system's original inputs; core data and auxiliary data are classifications of vehicle data according to their decision-making functions; coarse-grained data and fine-grained data are classifications of environmental perception data according to their information granularity. The fused feature data is a single, consistent, high-level data representation formed by processing all the above-mentioned data through correlation, complementarity, and weighting.

[0041] To clarify the implementation logic of determining specific scenarios based on the external environment (combined reflections of vehicle data and environmental perception data) in the embodiments of this application in the clearest and most intuitive way, this section provides a functional description starting from the original data source. That is, the specific implementation process is broken down into macro-level qualitative analysis based on certain specific information from vehicle data (core data) and certain overall information from environmental perception data (coarse-grained data), followed by micro-level quantitative analysis based on other information from vehicle data (auxiliary data) and detailed information from environmental perception data (fine-grained data). This achieves a reliable mapping from original multi-source data to specific scenario patterns, enabling those skilled in the art to understand the working principle and judgment criteria of the embodiments of this application without any doubt.

[0042] This application embodiment utilizes core data and coarse-grained data to perform rapid and stable preliminary classification of scene categories. Based on this, auxiliary and fine-grained data are then used to perform precise matching within the narrowed search space. This progressive judgment logic not only reduces the decision-making difficulty of a single complex model and improves the real-time performance of the system, but also effectively avoids scene misjudgment caused by false alarms from a single sensor or instantaneous data anomalies through multi-level data verification. This ensures that the fragrance and air conditioning control strategies can always be highly matched with the real and stable driving environment, providing users with a coherent, immersive, and personalized driving experience.

[0043] In one embodiment of this application, the core data includes the vehicle's geographical location and speed, and the coarse-grained data is used to characterize the road type currently in which the vehicle is located. Determining the scene category of the vehicle based on the core data and the coarse-grained data includes: When the geographical location is in the city center, the driving speed is below a preset speed threshold, and the coarse-grained data indicates that the road type of the road the vehicle is currently on is a non-closed road, the scene category of the vehicle is currently in is determined to be an urban scene; otherwise, the scene category of the vehicle is currently in is determined to be a non-urban scene.

[0044] In this embodiment, the core data includes the vehicle's geographical location and speed. The geographical location represents the vehicle's absolute position on the Earth's surface (latitude and longitude coordinates), and the speed is the vehicle's real-time linear velocity relative to the ground. Coarse-grained data, as part of the environmental perception data, is obtained by visual sensors through image recognition or matched from high-precision map data. This data can characterize the road type currently in which the vehicle is located, such as highways, urban expressways, municipal roads, and unpaved surfaces.

[0045] Determining the macro-level scenario category is the foundation for all subsequent refined control. It primarily utilizes the few most stable and representative key features to quickly and accurately classify complex driving environments into a few significantly different categories. Geographic location and road type jointly define the spatial and structural attributes of the environment, while driving speed reflects typical behavioral patterns within that environment. Combining these three factors (urban area + low speed + non-closed road) as a necessary and sufficient condition for determining urban scenarios effectively eliminates interference such as congested traffic on urban elevated roads (closed roads) or low-speed driving on suburban expressways (non-closed but not in the city center), thus ensuring high confidence in the macro-level classification and laying a reliable foundation for subsequent differentiated management.

[0046] For example, closed roads include, but are not limited to, highways, urban elevated roads, fully enclosed expressways, tunnels, etc.; non-closed roads include, but are not limited to, ordinary municipal roads, street roads, paved / unpaved auxiliary roads, open park roads, roads shared with pedestrians or non-motorized vehicles, etc.

[0047] As an example, the preset speed threshold can be set to 40 km / h. When the system determines, based on geographical location, that the vehicle is within a preset electronic fence in the city center and its real-time speed remains below 40 km / h, and simultaneously determines, based on road type, that the current road is a pedestrian-accessible, non-enclosed road with intersections (such as urban arterial roads or auxiliary roads), then the macro-scene category is determined to be an urban scene. Conversely, if the vehicle is on an urban expressway, highway, or other enclosed road, or if its speed remains above the threshold, the conditions for an urban scene are not met, and the system will proceed to the non-urban scene branch for further judgment.

[0048] This application's embodiments, through the aforementioned macro-level judgment logic, can establish a clear and correct decision-making direction in the initial stage of system operation. This avoids coupling all complex sub-rules into a single decision model, reducing the overall complexity of the system and improving decision-making efficiency. More importantly, it ensures that the system's understanding of the core scenario category of "city" is accurate and consistent, thereby enabling subsequent customized fragrance and air conditioning strategies for different scenarios to be accurately triggered, guaranteeing a high degree of relevance between user experience and the external environment from the source.

[0049] In one embodiment of this application, the auxiliary data includes the vehicle's speed duration and altitude, and the fine-grained data includes building density, road features, vegetation type, and object features. Determining the current scene mode of the vehicle based on the scene category, the auxiliary data, and the fine-grained data includes: When the scene category is the urban scene, the vehicle speed lasts for a duration exceeding a first preset time threshold, and the building density is higher than a preset density threshold, the scene mode in which the vehicle is currently located is determined to be the bustling city mode. When the scene category is the non-urban scene, the vehicle speed lasts for more than a second preset time threshold, and the road feature is a preset highway feature, the scene mode in which the vehicle is currently located is determined to be the long-distance highway mode. When the scene category is the non-urban scene, the altitude exceeds the first preset altitude threshold and is less than the second preset altitude threshold, and the vegetation type is the preset dense tree vegetation type, the scene mode where the vehicle is currently located is determined to be the deep forest walk mode. When the scene category is the non-urban scene, the altitude exceeds the second preset altitude threshold, and the object feature is the preset flower sea feature, the scene mode where the vehicle is currently located is determined to be the wildflower mode; the first preset altitude threshold is less than the second preset altitude threshold.

[0050] In this embodiment, auxiliary data and fine-grained data work together to create an accurate profile of the final scene under known macro-categories. Auxiliary data includes vehicle speed duration and altitude. Vehicle speed duration refers to the continuous time a vehicle maintains a specific typical motion state (such as low-speed crawling in the city or high-speed cruising), used to distinguish between temporary states and stable scene characteristics, avoiding erroneous scene switching due to brief changes in road conditions. Altitude, the vertical height of the vehicle's current position relative to sea level, is a key geographical parameter for distinguishing different natural landforms such as plains, mountains, and plateaus.

[0051] Fine-grained data refers to environmental semantic information identified and quantified by visual sensors, including but not limited to building density, road features, vegetation types, and object features. Building density refers to the proportion of pixels occupied by building outlines or the density of 3D point clouds within a unit field of view, used to quantify the prosperity of the urban environment. Road features refer to road elements with scene indication, such as continuous guardrails, lane line patterns, and signs unique to highways. Vegetation types refer to the results of identifying and classifying plant species in the natural environment, such as distinguishing between trees (e.g., pine and fir), shrubs, grasslands, and specific flowers (e.g., lavender and rapeseed). Object features refer to the results of identifying and judging non-plant objects or specific visual patterns in the environment that have significant scene indication significance, such as identifying continuous areas of flower distribution (i.e., flower fields), water bodies (e.g., lakes and rivers), specific mountain shapes, or sandy areas.

[0052] To maximize coverage of typical high-frequency travel scenarios and achieve the most differentiated sensory experience, this application's embodiments divide the refined scenarios in non-default mode into four typical predefined scenario modes: bustling city mode, long-distance highway mode, forest walk mode, and wildflower mode. Specifically, for the bustling city mode, its core purpose is to address the oppressive feeling caused by congestion and high-density building environments in urban core areas, providing a refreshing and refined olfactory atmosphere. Therefore, a scenario mode categorized as an urban scene, with a vehicle speed exceeding a first preset time threshold and a building density higher than a preset density threshold, is defined as the bustling city mode. For the long-distance highway mode, its core purpose is to address fatigue caused by long, monotonous driving, providing cool and refreshing olfactory support. Therefore, a scenario mode categorized as a non-urban scene, with a vehicle speed exceeding a second preset time threshold, and road characteristics resembling preset highway characteristics, is defined as the long-distance highway mode. For the Forest Walk mode, its core is to match the natural, fresh, and relaxing suburban environment and provide a tranquil and lingering woody fragrance. Therefore, the scene mode is defined as a non-urban scene, with an altitude exceeding the first preset height threshold but less than the second preset height threshold, and the vegetation type is the preset dense tree vegetation type. For the Wildflower mode, its core is to capture the joy and openness brought by special landscapes such as high mountains or seas of flowers and provide a sweet and fragrant olfactory experience. Therefore, the scene mode is defined as a non-urban scene, with an altitude exceeding the second preset height threshold, and the object characteristics are the preset sea of ​​flowers.

[0053] It should be noted that, in order to establish a clear and progressive natural scene layering judgment logic in non-urban scenarios, and to accurately distinguish between the two typical but very different natural environments, mountain forests and alpine flower fields, the first preset height threshold is lower than the second preset height threshold.

[0054] In one embodiment of this application, in order to ensure the completeness of the fragrance control logic and the consistency of the user experience, scenarios that do not conform to the above four specific predefined fine scenarios are determined as the default mode. The corresponding control strategy is also a universal basic fragrance strategy (such as a light and elegant general fragrance) and a comfortable default air conditioning setting, so as to ensure that the cabin environment remains in a pleasant basic state in any unidentified scenario.

[0055] In one embodiment of this application, to further improve the accuracy of scene determination and avoid frequent switching in critical states, based on the stability judgment of vehicle speed duration, further restrictions can be imposed on vehicle speed for different scene modes. Specifically, the final scene mode determination is triggered only when the vehicle maintains a specific speed for a duration exceeding a corresponding preset time threshold. For example, in the busy urban area mode, the driving speed needs to be continuously lower than a preset first speed threshold for a duration exceeding the first preset time threshold (e.g., 5 minutes); for the long-distance highway mode, the driving speed needs to be continuously higher than a preset second speed threshold for a duration exceeding the second preset time threshold (e.g., 45 minutes). It should be noted that the first and second speed thresholds can be set according to the road speed limits, driving habits, and algorithm optimization goals of different regions.

[0056] As an example, the first preset time threshold can be set to 5 minutes, and the preset density threshold can be set to 70%; the second preset time threshold can be set to 45 minutes; the first preset height threshold can be set to 300 meters, and the second preset height threshold can be set to 800 meters; the preset highway features can include continuous wave-shaped guardrails and green-background white-letter signs; the preset dense tree vegetation type can refer to arbor forests with a canopy coverage greater than 60% as identified by the deep learning model; the preset flower sea feature can refer to identified areas of flowers with a recognition confidence level higher than 75%.

[0057] In short, in urban scenarios, if the driving speed remains below 40km / h for 5 minutes and the building density is above 70%, it can be identified as a bustling urban area mode. In non-urban scenarios, if the driving speed is above 80km / h and the driver is on a highway for more than 45 minutes, and the road features are identified as preset highway features, it can be identified as a long-distance highway mode. In non-urban scenarios, if the altitude is above 300 meters and the vegetation type is identified as the preset dense arbor forest type, it can be identified as a forest walk mode. In non-urban scenarios, if the altitude is above 800 meters and the object features are identified as the preset flower sea feature (a large area of ​​flowers with a confidence level above 75%), it can be identified as a wildflower field mode.

[0058] In this application embodiment, the determination of each scene mode integrates temporal information (vehicle speed and duration), geographical information (altitude), and visual semantic information, which enhances the system's ability to distinguish complex and mixed environments (such as distinguishing between mountain forests and alpine meadows). This ensures that the fragrance and air conditioning control strategies can be highly matched with the real and subtle environmental characteristics of the user's environment, thereby providing the user with a truly personalized, immersive cabin olfactory experience that is seamlessly connected with the external environment.

[0059] In one embodiment of this application, the fragrance release parameters include a target fragrance identifier, a target concentration, and a release period parameter. Controlling the fragrance release of the vehicle's fragrance component based on the fragrance release parameters includes: Based on the target fragrance identifier, a target fragrance channel is determined among multiple fragrance channels of the fragrance component, and the target fragrance channel is activated; The pulse width modulation duty cycle of the target fragrance channel is adjusted based on the target concentration to control the release concentration of the fragrance; The opening and closing time of the target fragrance channel is adjusted based on the release cycle parameter to control the release cycle of the fragrance.

[0060] In this embodiment, the fragrance release parameters include, but are not limited to, target fragrance identifier, target concentration, and release cycle parameters. The target fragrance identifier refers to the digital code or logical address used to select a specific fragrance from a variety of fragrance bases (such as citrus leather, cool herbs, pine moss, mixed white flowers, etc.) pre-set in the fragrance component. The target concentration refers to the desired fragrance intensity level or relative percentage to be achieved in the cabin. The release cycle parameters refer to parameters that control the fragrance release timing mode, such as the duration and interval of continuous release, intermittent release (e.g., working for 10 seconds / pausing for 30 seconds), or pulsed release (e.g., one short pulse per second).

[0061] It should be noted that the central control unit will parse the received fragrance release parameters into corresponding low-level electrical control commands and send them to the fragrance execution module, so that the fragrance execution module can control the physical actions of the corresponding micropump or piezoelectric atomizer in the fragrance component based on the electrical control commands.

[0062] Specifically, the channel selection command corresponding to the target fragrance identifier can activate the power circuit of the specific micropump or atomizer corresponding to that fragrance in the drive circuit, putting it into standby mode; the PWM (Pulse Width Modulation) duty cycle setting command corresponding to the target concentration can adjust the duty cycle of the PWM signal output from the drive circuit to the target micropump motor or piezoelectric atomizer, thereby linearly controlling its speed or vibration frequency and achieving precise adjustment of the fragrance raw material delivery or atomization rate; the timing control command corresponding to the release cycle parameter can control the drive circuit to periodically execute the above selection and duty cycle adjustment operations according to a preset time sequence, thereby generating the required intermittent or pulsed release effect.

[0063] In one embodiment of this application, the fragrance execution module can monitor and report the execution status of the fragrance components in real time, such as abnormal drive current of the micropump / atomizer, channel blockage fault code, and fragrance capsule remaining amount below a preset threshold, and feed back the execution status of the fragrance components to the central control unit for system health management, and trigger a degradation strategy when necessary (such as automatically switching to a backup fragrance or prompting the user for maintenance).

[0064] This application embodiment achieves precise transformation from scene strategy to specific olfactory experience through refined and programmable control of fragrance release parameters. It can not only select matching fragrances according to the scene, but also create a cabin olfactory atmosphere that is deeply consistent with the driving environment (such as continuous freshness in traffic jams, stable alertness at high speeds, and gentle diffusion in forests) by dynamically adjusting the concentration and release rhythm, which is rich in layers and emotional changes, greatly enhancing the personalization and immersion of the user experience.

[0065] In one embodiment of this application, the air conditioning control parameters include a target circulation mode, a target air volume level, and a target wind speed. Controlling the vehicle's air conditioning to diffuse the fragrance based on the air conditioning control parameters includes: The air conditioner's circulation state is adjusted based on the target circulation mode; Adjust the airflow of the air conditioner based on the target airflow level; The air conditioner's fan speed is adjusted based on the target wind speed.

[0066] In this embodiment, the air conditioning control parameters include, but are not limited to, target circulation mode, target air volume level, and target wind speed. The target circulation mode refers to the instruction that controls the air intake source of the air conditioning system, which typically includes internal circulation mode (circulating only the air inside the vehicle), external circulation mode (introducing air from outside the vehicle), and intelligent alternation mode (automatically switching according to preset logic). The target air volume level refers to the graded instruction that controls the overall air delivery intensity of the blower, such as gentle, medium, and strong. The target wind speed refers to the instruction that adjusts the airflow jet speed or wind direction concentration for a specific air outlet or area.

[0067] It should be noted that the air conditioning system interface module is responsible for linking with the vehicle's air conditioning system. It communicates with the air conditioning system (HVAC, Heating, Ventilation, Air Conditioning) controller via the vehicle gateway through the CAN (Controller Area Network) bus to ensure the control of the air conditioning. Specifically, the central control unit will parse and encode the received air conditioning control parameters into standardized vehicle bus messages (such as CAN messages) and send them to the vehicle's air conditioning controller through the air conditioning system interface module.

[0068] Upon receiving these instructions, the air conditioning controller drives the corresponding actuators. Specifically, it controls the servo motor via the target cycle mode to adjust the position of the inner and outer air dampers, thereby precisely switching or mixing the air sources inside and outside the vehicle; it controls the output voltage or PWM signal duty cycle of the blower drive circuit via the target air volume level, thereby linearly adjusting the blower motor speed to achieve stepless or stepped adjustment of the total air volume; and it controls the stepper motor via the target wind speed to adjust the pitch and lateral angle of the guide vanes at specific air outlets (such as the face and feet), thereby changing the direction, concentration, and local velocity of the airflow to achieve different wind speed sensations from concentrated jets to gentle diffusion.

[0069] This application embodiment, through refined control of the air conditioning system, enables fragrance release to be no longer an isolated action, but rather deeply integrated with the airflow management of the entire cabin. By precisely controlling the source, intensity, and direction of airflow, the system ensures that the fragrance diffuses, mixes, and dissipates at the most suitable rate and path, thereby achieving a uniform spatial distribution and a smooth temporal transition of fragrance concentration. This not only significantly enhances the quality and consistency of the olfactory experience but also allows the fragrance strategy to adapt more efficiently and intelligently to various dynamic driving environments, ultimately achieving a high degree of unity and immersion between the cabin olfactory environment and external visual and psychological experiences.

[0070] To enable those skilled in the art to better understand fragrance control strategies in different scenario modes, the following examples are provided for illustration.

[0071] In the bustling city mode, the fragrance release parameters are citrus leather scent, high concentration, and continuous release. The air conditioning control parameters are internal circulation mode, high air volume level, and medium fan speed. The purpose is to quickly establish and maintain a rich and refined cabin atmosphere while blocking external exhaust fumes and noise.

[0072] In long-distance highway mode, the fragrance release parameters are a cool herbal scent, medium concentration, and intermittent release (e.g., 30 seconds on and 60 seconds off), and the air conditioning control parameters are external circulation mode, medium fan speed, and high fan speed (direct airflow mode). The purpose is to keep the air fresh while refreshing the driver with a periodic cool fragrance and a strong airflow.

[0073] In the Forest Walk mode, the fragrance release parameters are pine and moss scent, low concentration, gentle pulse release (such as one short pulse per second), and the air conditioning control parameters are external circulation mode, low air volume level, and low fan speed (diffusion mode). The purpose is to allow the natural woody aroma to gently and evenly diffuse in the car and slowly blend with the external forest atmosphere.

[0074] In the Wildflowers mode, the fragrance release parameters are a blend of white floral notes, medium concentration, and intelligent alternating release (switching with the air conditioning circulation mode). The air conditioning control parameters are intelligent alternating circulation mode (e.g., 2 minutes of external circulation / 1 minute of internal circulation), medium air volume level, and medium air speed. The purpose is to appropriately introduce the fragrance of the external flower sea while intelligently controlling the retention and renewal of the floral fragrance in the car, creating a sweet and layered olfactory experience.

[0075] In default mode, the fragrance release parameters are a light and universal scent (such as green tea or marine notes), low concentration, and intermittent release at a very low frequency (e.g., 10 seconds every 5 minutes). The air conditioning control parameters are automatic circulation mode (automatically switching based on the air quality inside the vehicle), comfort fan speed level, and automatic fan speed. It should be noted that when the system does not clearly identify any of the above-mentioned characteristic scenarios, it provides a safe, comfortable, and energy-efficient baseline cabin environment. This mode does not pursue strong sensory stimulation or scene binding, but rather ensures that the cabin always maintains a pleasant and non-irritating light freshness, while returning the control of the air conditioning to the vehicle's original comfort logic, ensuring the system's inclusiveness and robustness.

[0076] In one embodiment of this application, in order to achieve adaptive matching between fragrance control and dynamic driving environment, and to ensure the continuity and comfort of user experience, the system continuously detects whether the current scene mode of the vehicle has changed through the above steps 201 and 202 while releasing fragrance, and further performs conditional judgment to form a real-time intelligent control closed loop of perception-decision-execution-re-perception. Specifically, the central control unit compares the newly determined scene mode with the scene mode corresponding to the currently executed fragrance control strategy. If the current scene has not changed or only fluctuates slightly among similar scenes (such as entering a city tunnel from a main urban road, both belonging to the bustling city mode), the existing fragrance control strategy is maintained without change; if it is determined that the scene has fundamentally changed (such as entering a city from a highway, i.e., switching from long-distance highway mode to bustling city mode), the fragrance control switching process is triggered.

[0077] To ensure a seamless user experience when switching fragrance control strategies, the central control unit sends a fade-out command to the fragrance execution module when switching or stopping the current fragrance control strategy. The fragrance execution module linearly reduces the PWM duty cycle of all fragrance channels to zero within a preset time period (e.g., 3 to 5 seconds), so that the fragrance concentration decays smoothly and avoids the discomfort caused by sudden interruption of the scent.

[0078] As the fragrance fades, the central control unit will send a command to the air conditioning controller through the air conditioning system interface module, notifying it that the fragrance control system is offline and the air conditioning operation mode should be restored to the operation mode before the fragrance control system was activated. This will release the special controls applied to cooperate with the fragrance diffusion (such as forced internal circulation or specific air volume), allowing the air conditioning system to return to its own logic operation centered on passenger thermal comfort and air quality management, ensuring the overall coordination of environmental control.

[0079] In one embodiment of this application, the user interaction module provides a user input interface, allowing users to customize fragrance preferences, adjust mode sensitivity parameters, and query the current fragrance control strategy through the vehicle's central control screen or voice assistant. It also supports users to manually select or disable specific fragrances and adjust the global intensity. User commands are sent to the central control unit via CAN or LIN (Local Interconnect Network) bus and have the highest control priority.

[0080] To enable those skilled in the art to better understand the fragrance control method provided in the embodiments of this application, the overall process is described herein.

[0081] Reference Figure 3 The diagram illustrates an overall flowchart of a vehicle fragrance control method according to an embodiment of this application, which specifically includes the following steps: Step 301: Environmental Perception, Data Acquisition, and Image Recognition; After the system is powered on, the environmental perception module is activated and enters continuous data acquisition mode. The GPS sensor acquires latitude, longitude, altitude, and vehicle speed information in real time, while the surround-view camera identifies environmental features (buildings, vegetation, roads, flowers, etc.) through the image recognition processor. Step 302: Data fusion and scenario determination; Data fusion: Spatiotemporal alignment and calibration of GPS coordinates, speed, and image recognition results. For example, when GPS indicates that a vehicle is in a country park, but the visual system identifies high-density trees, the fusion algorithm will improve the credibility of the forest scene.

[0082] Scene determination: The fused high-dimensional feature vector is input into the determination logic; the determination logic can adopt a hierarchical structure: first, it distinguishes between urban and non-urban areas based on vehicle speed and road type (from GPS and vision); in non-urban areas, it further distinguishes between forests and mountains based on vegetation type and density, and finally outputs a definite scene pattern identifier and its confidence level.

[0083] Step 303: Central Decision and Control Command Generation; The central control unit receives the scene mode results from the data fusion and scene determination module; The central control unit maintains a pre-set fragrance strategy table, which defines the fragrance release parameters and air conditioning control parameters corresponding to each scene mode. The central control unit converts the strategy parameters into specific control commands and sends them to the fragrance execution module and the air conditioning system interface module; Specific scene modes include bustling city mode, long-distance highway mode, deep forest walk mode, and wildflower mode; Step 304: Fragrance release and air conditioning linkage; the fragrance execution module and the air conditioning system interface module parse and execute the corresponding control commands to atomize the specific fragrance essential oil and send it into the air conditioning duct, where it diffuses into the cabin with the airflow.

[0084] Step 305: Continuous environmental monitoring and scene exit judgment; While releasing fragrance, the system continuously executes steps 301 and 302 to monitor whether the environment has changed, i.e., whether the current scene mode has exited. Specifically, the central control unit will compare the latest scene judgment result with the current scene mode; Case 1: Yes (condition met): If the current scene has not changed or only fluctuates slightly among similar scenes, the existing fragrance command will be maintained without any changes; Case 2: No (condition not met): If it is determined that the scene has undergone a fundamental change, step 306 will be triggered; Step 306: Fragrance control exits; Gradual fading stops: The central control unit immediately sends a fading command to the fragrance execution module. The fragrance execution module will linearly reduce the PWM duty cycle of all fragrance channels to zero within 3 to 5 seconds, so that the fragrance concentration decays smoothly and avoids the discomfort caused by the sudden interruption of the scent; Restore original air conditioning mode: While the fragrance is fading, the central control unit sends a command to the air conditioning controller through the air conditioning system interface module to notify it that the system is offline and the air conditioning system should be restored to the operating mode before the fragrance was activated.

[0085] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of this application are not limited to the described order of actions, because according to the embodiments of this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of this application.

[0086] This application also provides a storage medium that stores computer instructions. When the computer executes the computer instructions, it is used to execute various processes of the above-described vehicle fragrance control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0087] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0088] This application also provides an electronic device, including a processor 4010, a memory 409, and a program or instructions stored in the memory 409 and executable on the processor 4010. When the program or instructions are executed by the processor 4010, they implement the various processes of the above-described vehicle fragrance control method embodiment and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0089] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0090] Figure 4 A schematic diagram of the hardware structure of an electronic device to implement an embodiment of this application.

[0091] The electronic device 400 includes, but is not limited to, components such as: radio frequency unit 401, network module 402, audio output unit 403, input unit 404, sensor 405, display unit 406, user input unit 407, interface unit 408, memory 409, and processor 4010.

[0092] Those skilled in the art will understand that the electronic device 400 may also include a power supply (such as a battery) for supplying power to various components. The power supply may be logically connected to the processor 4010 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system. Figure 4 The electronic device structure shown does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be elaborated here.

[0093] This application also provides a computer program product, including a computer program / instruction. When the computer program / instruction is executed by a processor, it implements the various processes of the above-described vehicle fragrance control method embodiment and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0094] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0095] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0096] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method of fragrance control for a vehicle, characterized by, The method comprises: acquiring vehicle data and environment perception data; determining a scene mode in which the vehicle currently locates according to the vehicle data and the environment perception data; determining fragrance release parameters and air conditioner control parameters corresponding to the scene mode from a preset strategy table; controlling a fragrance assembly of the vehicle to release fragrance based on the fragrance release parameters; controlling the air conditioner of the vehicle to diffuse the fragrance based on the air conditioner control parameters.

2. The method of claim 1, wherein, The acquiring of the vehicle data and the environment perception data comprises: collecting a positioning signal of the vehicle based on a positioning sensor, and performing signal decoding on the positioning signal to obtain the vehicle data; collecting an image sequence of an external surrounding environment of the vehicle based on a visual sensor, and performing feature recognition on the image sequence to obtain the environment perception data.

3. The method of claim 1, wherein, The vehicle data comprises core data and auxiliary data, and the environment perception data comprises coarse-grained data and fine-grained data, and the determining of the scene mode in which the vehicle currently locates according to the vehicle data and the environment perception data comprises: determining a scene category in which the vehicle currently locates according to the core data and the coarse-grained data; determining the scene mode in which the vehicle currently locates according to the scene category, the auxiliary data and the fine-grained data.

4. The method of claim 3, wherein, The core data comprises a geographical position and a driving speed of the vehicle, the coarse-grained data is used for representing a road type of a road in which the vehicle currently locates, and the determining of the scene category in which the vehicle currently locates according to the core data and the coarse-grained data comprises: when the geographical position is located in a city center area, the driving speed is lower than a preset speed threshold, and the coarse-grained data represents that the road type of the road in which the vehicle currently locates is a non-closed road, determining that the scene category in which the vehicle currently locates is a city scene; otherwise, determining that the scene category in which the vehicle currently locates is a non-city scene.

5. The method of claim 4, wherein, The auxiliary data comprises a vehicle speed duration and an altitude of the vehicle, the fine-grained data comprises building density, road features, vegetation types and object features, and the determining of the scene mode in which the vehicle currently locates according to the scene category, the auxiliary data and the fine-grained data comprises: when the scene category is the city scene, the vehicle speed duration exceeds a first preset time threshold, and the building density is higher than a preset density threshold, determining that the scene mode in which the vehicle currently locates is a bustling metropolis mode; when the scene category is the non-city scene, the vehicle speed duration exceeds a second preset time threshold, and the road features are preset highway features, determining that the scene mode in which the vehicle currently locates is a long-distance highway mode; when the scene category is the non-city scene, the altitude exceeds a first preset altitude threshold and is less than a second preset altitude threshold, and the vegetation types are preset dense tree vegetation types, determining that the scene mode in which the vehicle currently locates is a deep forest walking mode; When the scene category is the non-city scene, the altitude exceeds a second preset altitude threshold, and the object feature is a preset flower sea feature, the scene mode in which the vehicle is currently located is determined as a mountain wild flower mode; the first preset altitude threshold is less than the second preset altitude threshold.

6. The method of claim 1, wherein, The fragrance release parameters include target fragrance type identification, target concentration, and release cycle parameters, and the fragrance assembly of the vehicle is controlled to release fragrance based on the fragrance release parameters, including: A target fragrance channel is determined in a plurality of fragrance channels of the fragrance assembly based on the target fragrance type identification, and the target fragrance channel is opened; The pulse width modulation duty cycle of the target fragrance channel is adjusted based on the target concentration to control the release concentration of the fragrance; The switching time of the target fragrance channel is adjusted based on the release cycle parameter to control the release cycle of the fragrance.

7. The method of claim 1, wherein, The air conditioner control parameters include target circulation mode, target air volume level, and target air speed, and the air conditioner of the vehicle is controlled to diffuse the fragrance based on the air conditioner control parameters, including: The circulation state of the air conditioner is adjusted based on the target circulation mode; The air volume of the air conditioner is adjusted based on the target air volume level; The air speed of the air conditioner is adjusted based on the target air speed.

8. A storage medium, characterized by The storage medium stores computer instructions, and when the computer executes the computer instructions, a vehicle fragrance control method according to any one of claims 1-7 is executed.

9. An electronic device, comprising: including at least one processor; and The memory is in communication with the at least one processor; wherein The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute a vehicle fragrance control method according to any one of claims 1-7.

10. A computer program product comprising computer programs / instructions, characterized in that, The computer program / instructions are executed by the processor to implement a vehicle fragrance control method according to any one of claims 1-7.

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