Intelligent cabin system and control method thereof

Abstract

The invention provides an intelligent cabin system and a control method thereof, and belongs to the technical field of intelligent cabins, and the intelligent cabin system comprises a central controller which is used for receiving an environment mode selection instruction inputted by a user, and obtaining an acousto-optic parameter corresponding to an environment mode selected by the user; the acousto-optic simulation module is used for simulating the acousto-optic effect of the environment in the vehicle according to the acousto-optic parameters provided by the central controller; the detection module is used for detecting in-vehicle environment data and user sensory data; and the central controller is also used for dynamically adjusting the acousto-optic parameters of the in-vehicle environment according to the in-vehicle environment data and / or the user sensory data. Different use requirements of the user can be effectively met, and the driving and riding experience of the user is improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent cockpit technology, and in particular to an intelligent cockpit system and its control method. Background Technology

[0002] In related technologies, vehicle intelligent cockpit systems typically only provide one-way environmental simulation functions, lack dynamic adjustment mechanisms, and are unable to meet different user needs, thus reducing the user experience. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art, and proposes an intelligent cockpit system and its control method.

[0004] In a first aspect, embodiments of the present invention provide an intelligent cockpit system, the intelligent cockpit system comprising:

[0005] The central controller is used to receive the user's input environmental mode selection command and obtain the audio-visual parameters corresponding to the environmental mode selected by the user.

[0006] The sound and light simulation module is used to simulate the sound and light effects of the in-vehicle environment based on the sound and light parameters provided by the central controller.

[0007] The detection module is used to detect in-vehicle environmental data and user sensory data;

[0008] The central controller is also used to dynamically adjust the sound and light parameters of the in-vehicle environment based on the in-vehicle environment data and / or the user's sensory data.

[0009] Secondly, embodiments of the present invention provide a control method for an intelligent cockpit system, the intelligent cockpit system including the intelligent cockpit system of the above embodiments, the control method including:

[0010] Receive the user's input environment mode selection command and obtain the audio-visual parameters corresponding to the environment mode selected by the user;

[0011] The sound and light effects of the in-vehicle environment are simulated based on the aforementioned sound and light parameters;

[0012] Acquire in-vehicle environmental data and user sensory data;

[0013] The sound and light parameters of the in-vehicle environment are dynamically adjusted based on the in-vehicle environment data and / or the user's sensory data.

[0014] The intelligent cockpit system provided by this invention simulates the sound and light effects of the in-vehicle environment based on the user-selected environment mode and the corresponding configured sound and light parameters. Simultaneously, by sensing in-vehicle environmental data and user sensory data in real time, it dynamically adjusts the sound and light effects of the in-vehicle environment, effectively meeting diverse user needs and enhancing the user's driving and riding experience. This intelligent cockpit system possesses advantages such as intelligent control, personalized customization, and real-time adjustment, and has broad application prospects and market value. Attached Figure Description

[0015] Figure 1 A system block diagram of an intelligent cockpit system provided in an embodiment of the present invention;

[0016] Figure 2 A system block diagram of another intelligent cockpit system provided in an embodiment of the present invention;

[0017] Figure 3 This is a block diagram of an acoustic-optical simulation module according to an embodiment of the present invention;

[0018] Figure 4 This is a block diagram of a detection module provided in an embodiment of the present invention;

[0019] Figure 5 This is a flowchart illustrating a control method for an intelligent cockpit system provided in an embodiment of the present invention. Detailed Implementation

[0020] To enable those skilled in the art to better understand the technical solutions of the present invention, exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0021] Where there is no conflict, the various embodiments of the present invention and the features thereof may be combined with each other.

[0022] As used herein, the term “and / or” includes any and all combinations of one or more related enumerated entries.

[0023] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein, the singular forms “a” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that when the terms “comprising” and / or “made of” are used in this specification, the presence of the stated feature, integral, step, operation, element, and / or component is specified, but the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof is not excluded. Terms such as “connected” or “linked” are not limited to physical or mechanical connections but can include electrical connections, whether direct or indirect.

[0024] Unless otherwise specified, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having the meaning consistent with their meaning in the context of the relevant art and the invention, and will not be interpreted as having an idealized or overly formal meaning unless expressly so defined herein.

[0025] In related technologies, vehicle intelligent cockpit systems typically only provide one-way environmental simulation functions, lack dynamic adjustment mechanisms, and are unable to meet different user needs, thus reducing the user experience.

[0026] To address at least one of the technical problems existing in the aforementioned related technologies, the present invention provides an intelligent cockpit system. Figure 1 A system block diagram of an intelligent cockpit system provided in an embodiment of the present invention is shown below. Figure 1 As shown, the intelligent cockpit system 100 includes:

[0027] The Central Control Unit (CCU) 101 is used to receive the environmental mode selection command input by the user and obtain the audio-visual parameters corresponding to the environmental mode selected by the user.

[0028] The sound and light simulation module 102 is used to simulate the sound and light effects of the in-vehicle environment based on the sound and light parameters provided by the central controller 101.

[0029] The detection module 103 is used to detect in-vehicle environmental data and user sensory data.

[0030] The central controller 101 is also used to dynamically adjust the sound and light parameters of the in-vehicle environment based on in-vehicle environmental data and / or user sensory data.

[0031] The intelligent cockpit system according to embodiments of the present invention simulates the sound and light effects of the in-vehicle environment based on the user-selected environment mode and the corresponding configured sound and light parameters. Simultaneously, by dynamically adjusting the sound and light effects of the in-vehicle environment through real-time sensing of in-vehicle environmental data and user sensory data, it can effectively meet different user needs and enhance the user's driving and riding experience. This intelligent cockpit system has advantages such as intelligent control, personalized customization, and real-time adjustment, and has broad application prospects and market value.

[0032] Figure 2 The present invention provides another intelligent cockpit system system block diagram. In some embodiments, the intelligent cockpit system further includes a user interface (UI) 104. The user interface 104 can be an interactive interface that provides the user with a simulated in-vehicle environment through a touch screen or voice control, providing the user with an intuitive in-vehicle environment simulation operation experience and facilitating user operation.

[0033] In some embodiments, the user interface 104 may provide an environment mode selection interface, whereby the user can select the desired environment mode, such as forest environment mode, beach environment mode, city environment mode, etc., by touch or voice command.

[0034] In some embodiments, the user interface 104 obtains the environment mode selected by the user and sends an environment mode selection instruction to the central controller 101. The instruction may carry information about the selected environment mode, such as the identifier of the environment mode.

[0035] In some embodiments, the user interface may employ a high-resolution touchscreen (such as a central control screen of 10 inches or larger) and / or a voice control module (such as a microphone array).

[0036] The touchscreen interface can adopt an intuitive graphical design and support operations such as swiping and clicking. The voice control module supports natural language processing (NLP), and users can switch environmental modes or adjust sound and light parameters through voice commands.

[0037] In some embodiments, the user interface 104 is a graphical user interface (GUI) that supports touch operation and voice control. Users can select environmental modes, adjust sound and light parameters, and view the current environmental status through the interface. The main interface of the user interface 104 can display a list of environmental modes (such as icons and text descriptions), and users can select an environmental mode by swiping or clicking. The settings interface of the user interface 104 provides detailed options for adjusting sound and light parameters, such as volume, brightness, and light color. The voice control interface of the user interface 104 supports natural language commands, such as "switch to forest mode" or "lower the volume."

[0038] In some embodiments, the user interface 104 can also display detailed information about the current environment mode (such as sound and light parameters), and support user-defined sound and light parameters (such as volume, tone, sound effects, light brightness, light color, etc.) and air conditioning parameters, providing an interactive interface for user-defined sound and light parameters and air conditioning parameters, etc.

[0039] In some embodiments, the central controller 101 determines the environment mode currently selected by the user according to the environment mode selection instruction, and obtains the audio-visual parameters corresponding to the environment mode selected by the user from the environment mode library.

[0040] In some embodiments, the environment mode library is pre-configured with a variety of environment modes (such as forest, beach, city, starry sky, etc.), and each environment mode contains specific audio-visual parameters.

[0041] In some embodiments, the environment mode library can be stored in a high-performance embedded storage device (such as eMMC or SSD) to ensure fast data reading and retrieval.

[0042] In some embodiments, the central controller 101 is responsible for the coordination and control of the entire system. It can employ a high-performance embedded processor (such as an ARM Cortex-A series or an NVIDIA Tegra series) that supports multi-threaded processing and real-time computing capabilities. The central controller 101 is responsible for receiving environmental mode selection instructions from the user interface, calling preset audio-visual parameters from the environmental mode library according to the environmental mode, receiving data transmitted by the detection module in real time, dynamically adjusting the audio-visual effects, and controlling the audio-visual simulation module 102 and the air conditioning system to perform corresponding operations.

[0043] In some embodiments, the central controller 101 includes multiple input and output interfaces, supporting CAN bus, LIN bus, or Ethernet communication to ensure real-time and reliable data transmission. The input interfaces are used to connect user interfaces and detection modules, while the output interfaces are used to connect actuators (AMs) such as the audio-visual simulation module 102 and the air conditioning system. The central controller 101 can communicate with each module via CAN bus, LIN bus, or Ethernet. The communication protocol can adopt a standardized format (such as CAN protocol or TCP / IP protocol) to ensure the reliability and real-time performance of data transmission.

[0044] Figure 3This is a block diagram of a sound and light simulation module in an embodiment of the present invention. In some embodiments, the sound and light parameters include sound effect parameters and light parameters, and the sound and light effects include sound effects and light effects. The sound and light simulation module 102 includes a sound effect simulation module (SESM) 1021 and a light simulation module (LSM) 1022.

[0045] The central controller 101 is used to send a sound effect simulation command to the sound effect simulation module 1021 based on the currently determined sound effect parameters. The sound effect simulation command carries the sound effect parameters. The central controller 101 is used to send a light effect simulation command to the light effect simulation module 1022 based on the currently determined light effect parameters. The light effect simulation command carries the light effect parameters. The sound effect simulation module 1021 is used to simulate the sound effects of the in-vehicle environment based on the sound effect parameters. The light effect simulation module 1023 is used to simulate the light effects of the in-vehicle environment based on the light effect parameters.

[0046] The sound effect parameters include, but are not limited to, audio file, volume, pitch, and sound effects. The lighting parameters include, but are not limited to, light color, brightness, and dynamic effects (such as gradient and flashing).

[0047] In some embodiments, the sound effect simulation module 1021 employs a high-fidelity audio system equipped with a digital signal processor (DSP) for real-time audio processing, supporting multi-channel output (such as 5.1 or 7.1 channels). The sound effect simulation module 1021 can simulate sound effects of specific environments (such as birdsong in a forest, ocean waves, and urban traffic sounds) according to instructions from the central controller 101, and supports 3D sound technology. It achieves spatial sound localization through the multi-channel audio system, enhancing immersion, and can also adjust sound effect parameters such as volume, pitch, and sound effects in real time to adapt to changes in the in-vehicle environment.

[0048] In some embodiments, the sound system of the sound effect simulation module 1021 can be arranged in multiple locations inside the vehicle, such as the doors, dashboard, and roof, to ensure uniform sound distribution.

[0049] In some embodiments, the lighting simulation module 1022 may employ an RGB or LED lighting system and be equipped with a lighting controller that supports PWM dimming and dynamic effect generation, and supports multiple color and brightness adjustments.

[0050] The lighting simulation module 1022 can simulate lighting effects of specific environments (such as sunlight shining through leaves in a forest, sunset on a beach, neon lights in a city) according to the instructions of the central controller 101, and supports dynamic lighting effects (such as gradient, flashing, breathing light effects) to enhance immersion. It can also adjust the color, brightness and distribution of the lights in real time to adapt to changes in the in-vehicle environment.

[0051] In some embodiments, the LED light strip in the lighting simulation module 1022 can be arranged in multiple locations inside the vehicle, such as the dashboard, door interior, roof, and foot space, to ensure uniform distribution of light inside the vehicle.

[0052] In some embodiments, the sound effect simulation module 1021 and the lighting simulation module 1022 support independent control of multiple areas, such as the sound effects and lighting effects of different seats can be adjusted independently.

[0053] Figure 4 This is a block diagram illustrating the composition of a detection module provided in an embodiment of the present invention. In some embodiments, such as... Figure 4 As shown, the detection module 103 includes an environmental sensor module (SM) 1031 and a bidirectional perception module (BPM) 1032.

[0054] The environmental sensor module 1031 is used to collect in-vehicle environmental data in real time and transmit the data to the central controller 101; the bidirectional sensing module 1032 is used to sense the user's sensory data in real time and transmit the sensory data to the central controller 101. The user can be the driver.

[0055] In some embodiments, the in-vehicle environmental data includes at least one of in-vehicle temperature, in-vehicle humidity, in-vehicle light intensity, and the position and number of passengers in the vehicle. The environmental sensor module 1031 includes at least one of the following:

[0056] Temperature sensor used to collect the temperature inside the vehicle.

[0057] A humidity sensor is used to collect humidity data inside the vehicle.

[0058] A light sensor is used to collect the light intensity inside the vehicle.

[0059] Seat pressure sensors are used to collect data on the position and number of passengers inside the vehicle.

[0060] Temperature and humidity sensors can be placed in multiple locations inside the vehicle, such as the dashboard, roof, and seats; light sensors can be placed near the windows to monitor changes in external light; and seat pressure sensors can be embedded inside the seats to detect the position and number of passengers.

[0061] In some embodiments, user sensory data includes at least one of: user heart rate, user skin conductance response, user facial expression, and user voice emotion; the bidirectional sensing module 1032 includes at least one of the following:

[0062] A heart rate sensor is used to detect a user's heart rate.

[0063] Skin conductivity sensor, used to detect the skin conductivity response of a user.

[0064] A facial expression recognition camera is used to recognize a user's facial expressions.

[0065] The speech recognition module is used to identify the emotions expressed in a user's voice.

[0066] Among them, the heart rate sensor and skin conductivity sensor can be embedded in the steering wheel or seat; the facial expression recognition camera can be placed near the dashboard or rearview mirror; and the voice recognition module can be integrated into the vehicle microphone array.

[0067] In some embodiments, the central controller 101 is further configured to: classify and predict the user's sensory data using a preset bidirectional perception algorithm to determine the user's psychological and emotional state; dynamically adjust the sound and light parameters of the in-vehicle environment according to the user's psychological and emotional state using a preset dynamic adjustment algorithm, and notify the sound and light simulation module 102 to adjust the sound and light effects.

[0068] In some embodiments, the user's psychological and emotional state may include, but is not limited to: focused state, tense state, fatigued state, relaxed state, excited state, angry state, etc.

[0069] In some embodiments, in the dynamic adjustment algorithm, different sound and light parameters can be set for different user psychological and emotional states; the central controller 101 identifies the corresponding sound and light parameters according to the user's psychological and emotional state through the dynamic adjustment algorithm, adjusts the sound and light parameters of the current in-vehicle environment to the sound and light parameters corresponding to the user's psychological and emotional state, and simulates the corresponding sound and light effects through the sound and light simulation module 102.

[0070] For example, when a user is stressed, soothing music is automatically played and the lighting is adjusted to a soft tone; when a user is fatigued, energizing music is automatically played and the lighting is adjusted to a bright tone.

[0071] In some embodiments, the central controller 101 is further configured to: dynamically adjust the sound and light parameters of the in-vehicle environment according to in-vehicle environment data and / or user sensory data through a preset real-time adjustment algorithm, and notify the sound and light simulation module 102 to adjust the sound and light effects.

[0072] In some embodiments, the preset bidirectional sensing algorithm can employ machine learning algorithms, such as support vector machines or neural networks, to classify and predict the user's psychological and emotional state based on the user's sensory data; the preset dynamic adjustment algorithm and the preset real-time adjustment algorithm can employ fuzzy control algorithms or PID control algorithms to achieve dynamic optimization of environmental sound and light parameters; the preset bidirectional sensing algorithm, the preset dynamic adjustment algorithm, and the preset real-time adjustment algorithm can run on the embedded processor of the central controller 101 to ensure real-time performance and efficiency.

[0073] In some embodiments, the central controller 101 is further configured to: dynamically adjust the sound and light parameters of the in-vehicle environment according to in-vehicle environment data by means of a preset real-time adjustment algorithm, and notify the sound and light simulation module 102 to adjust the sound and light effects.

[0074] For example, the brightness of the lights can be adjusted according to the light intensity inside the vehicle. For instance, when the light intensity detected by the light sensor is higher than a threshold, the brightness of the lights inside the vehicle can be automatically reduced.

[0075] In some embodiments, the central controller 101 is further configured to: dynamically adjust the sound and light parameters of the in-vehicle environment according to user sensory data through a preset real-time adjustment algorithm, and notify the sound and light simulation module 102 to adjust the sound and light effects.

[0076] For example, sound and lighting parameters can be adjusted based on the user's heart rate. For instance, when the heart rate sensor detects that the user's heart rate has risen to a threshold, relaxing music can be played automatically and the lighting can be adjusted to a soft hue.

[0077] For example, sound and lighting parameters can be adjusted based on the user's facial expressions. For instance, when the facial expression recognition camera detects that the user's facial expression is tense, it can automatically play soothing ambient sound effects and adjust the lighting to a warm tone.

[0078] In some embodiments, the central controller 101 is also used to dynamically adjust the air conditioning parameters, steering wheel heating parameters, and seat ventilation and heating parameters of the in-vehicle environment based on in-vehicle environment data.

[0079] For example, the air conditioning system parameters can be dynamically adjusted based on the in-vehicle temperature and humidity detected by temperature sensors. For instance, if the in-vehicle temperature is too high, the air conditioning temperature will be lowered; if the in-vehicle temperature is too low, the air conditioning temperature will be raised. The air conditioning system can be located near the vehicle's ventilation vents and supports multi-zone temperature control.

[0080] In some embodiments, users can adjust the environmental mode and sound and light parameters in real time through the user interface 104, and the central controller 101 can adjust the environmental mode and sound and light parameters accordingly based on user feedback.

[0081] In some embodiments, the intelligent cockpit system may also include a personalized AI self-learning module (not shown in the figure). The personalized AI self-learning module is used to learn the user's preference settings on environmental modes and audio-visual parameters based on the environmental modes, audio-visual parameters and user sensory data detected in the past. The user's preference settings can be used to actively optimize the audio-visual effects of the in-vehicle environment. When it is detected that the current user meets the conditions of the preference settings, the environmental mode is actively switched to the environmental mode set by the user, and the audio-visual effects of the in-vehicle environment are adjusted accordingly.

[0082] For example, if a user frequently selects "Beach Mode" when fatigued, the system should automatically switch to that mode when user fatigue is detected.

[0083] In some embodiments, the personalized AI self-learning module may employ reinforcement learning algorithms to continuously optimize environmental sound and light parameters and effects based on user historical information.

[0084] This invention also provides a control method for an intelligent cockpit system. Figure 5 This is a flowchart illustrating a control method for an intelligent cockpit system provided in an embodiment of the present invention. The intelligent cockpit system includes the intelligent cockpit system described in the above embodiment, such as... Figure 5 As shown, the control methods of the intelligent cockpit system include:

[0085] Step S51: Receive the user's input environment mode selection command and obtain the audio-visual parameters corresponding to the environment mode selected by the user.

[0086] Step S52: Simulate the sound and light effects of the in-vehicle environment based on the sound and light parameters.

[0087] Step S53: Obtain in-vehicle environmental data and user sensory data.

[0088] Step S54: Dynamically adjust the sound and light parameters of the in-vehicle environment based on in-vehicle environmental data and / or user sensory data.

[0089] In some embodiments, the audio-visual parameters include sound effect parameters and lighting parameters, and the audio-visual effects include sound effects and lighting effects. Simulating the audio-visual effects of the in-vehicle environment based on the audio-visual parameters includes: simulating the sound effects of the in-vehicle environment based on the sound effect parameters using a sound effect simulation module; and simulating the lighting effects of the in-vehicle environment based on the lighting parameters using a lighting effect simulation module.

[0090] In some embodiments, acquiring in-vehicle environmental data and user sensory data includes: acquiring in-vehicle environmental data through an environmental sensor module; and acquiring user sensory data through a bidirectional sensing module.

[0091] In this embodiment of the invention, the specific implementation of the control method for the intelligent cockpit system can be referred to the relevant description of the intelligent cockpit system in the above embodiments, and will not be repeated here.

[0092] Example embodiments have been disclosed herein, and while specific terminology has been used, it is for illustrative purposes only and should be construed as such, and is not intended to be limiting. In some instances, it will be apparent to those skilled in the art that features, characteristics, and / or elements described in conjunction with particular embodiments may be used alone, or in combination with features, characteristics, and / or elements described in conjunction with other embodiments, unless otherwise expressly indicated. Therefore, those skilled in the art will understand that various changes in form and detail may be made without departing from the scope of the invention as set forth in the appended claims.

Claims

1. An intelligent cockpit system, characterized in that, include: The central controller is used to receive the user's input environmental mode selection command and obtain the audio-visual parameters corresponding to the environmental mode selected by the user. The sound and light simulation module is used to simulate the sound and light effects of the in-vehicle environment based on the sound and light parameters provided by the central controller. The detection module is used to detect in-vehicle environmental data and user sensory data; The central controller is also used to dynamically adjust the sound and light parameters of the in-vehicle environment based on the in-vehicle environment data and / or the user's sensory data.

2. The intelligent cockpit system according to claim 1, characterized in that, The audio-visual parameters include sound effect parameters and lighting parameters, the audio-visual effects include sound effects and lighting effects, and the audio-visual simulation module includes a sound effect simulation module and a lighting simulation module. The sound effect simulation module is used to simulate the sound effects of the in-vehicle environment according to the sound effect parameters; The lighting simulation module is used to simulate the lighting effects of the in-vehicle environment based on the lighting parameters.

3. The intelligent cockpit system according to claim 1, characterized in that, The detection module includes an environmental sensor module and a two-way sensing module; The environmental sensor module is used to collect in-vehicle environmental data in real time; The bidirectional sensing module is used to sense the user's sensory data in real time.

4. The intelligent cockpit system according to claim 3, characterized in that, The in-vehicle environmental data includes at least one of the following: in-vehicle temperature, in-vehicle humidity, in-vehicle light intensity, and the position and number of passengers in the vehicle. The environmental sensor module includes at least one of the following: A temperature sensor is used to collect the temperature inside the vehicle; A humidity sensor is used to collect the humidity inside the vehicle; A light sensor is used to collect the light intensity inside the vehicle; Seat pressure sensors are used to collect the position and number of passengers inside the vehicle.

5. The intelligent cockpit system according to claim 3, characterized in that, The user sensory data includes at least one of the following: user heart rate, user skin conductance response, user facial expression, and user voice emotion; the bidirectional sensing module includes at least one of the following: Heart rate sensor, used to detect the user's heart rate; Skin conductivity sensor, used to detect the user's skin conductivity response; Facial expression recognition camera, used to recognize users' facial expressions; The speech recognition module is used to identify the emotions expressed in a user's voice.

6. The intelligent cockpit system according to claim 1, characterized in that, The central controller is also used for: The user's sensory data is used to perform state classification and prediction through a preset two-way perception algorithm to determine the user's psychological and emotional state. Based on the user's psychological and emotional state, the sound and light parameters of the in-vehicle environment are dynamically adjusted using a preset dynamic adjustment algorithm.

7. The intelligent cockpit system according to claim 1, characterized in that, The central controller is also used for: Based on the in-vehicle environment data and / or user sensory data, the sound and light parameters of the in-vehicle environment are dynamically adjusted through a preset real-time adjustment algorithm.

8. A control method for an intelligent cockpit system, characterized in that, The intelligent cockpit system includes the intelligent cockpit system according to any one of claims 1-7, and the control method includes: Receive the user's input environment mode selection command and obtain the audio-visual parameters corresponding to the environment mode selected by the user; The sound and light effects of the in-vehicle environment are simulated based on the aforementioned sound and light parameters; Acquire in-vehicle environmental data and user sensory data; The sound and light parameters of the in-vehicle environment are dynamically adjusted based on the in-vehicle environment data and / or the user's sensory data.

9. The control method according to claim 8, characterized in that, The audio-visual parameters include sound effect parameters and lighting parameters, and the audio-visual effects include sound effects and lighting effects. The step of simulating the audio-visual effects of the in-vehicle environment based on the audio-visual parameters includes: The sound effect simulation module simulates the sound effects of the in-vehicle environment based on sound effect parameters; The lighting simulation module simulates the lighting effects inside the vehicle based on lighting parameters.

10. The control method according to claim 8, characterized in that, The acquisition of in-vehicle environmental data and user sensory data includes: The vehicle interior environment data is acquired through an environmental sensor module; User sensory data is acquired through a two-way sensing module.

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