Control system for controlling black edge area of front windshield through sunlight sensor

Abstract

The invention belongs to the field of automobile manufacturing, and particularly relates to a control system for controlling a front windshield black edge area through a sunlight sensor, which comprises a sunlight sensor module, a data processing unit, a motor control module, a guide rail mechanism, a telescopic black edge assembly, a man-machine interaction module, a communication integration module, an edge calculation module and a mounting structure module. According to the control system for controlling the black edge area of the front windshield through the sunlight sensor, the sunlight intensity, the incident angle and the light source position can be detected in real time, the sunshade range of the telescopic black edge assembly is automatically adjusted according to the data, and sunlight is effectively shielded; interference of strong light on sight of a driver is reduced, and driving safety is remarkably improved. No matter in the daytime with strong sunlight or in the environment with complex light rays, the system can respond in time, a clear visual field is provided for a driver, and the risk of accidents is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of automobile manufacturing, and in particular to a control system for controlling a black edge area of ​​a windshield through a sunlight sensor. Background Art

[0002] The automotive industry is constantly developing, and the functions and designs of cars are continuously being optimized. The black edge of the windshield has always been used to cover the internal structure of the car, such as sheet metal, glue marks, etc., and can also absorb ultraviolet rays. But now, the process of automobile intelligence is accelerating, and various sensors and smart devices are widely used. At the same time, consumers have higher expectations for the beauty, functions and driving experience of car interiors. In this context, innovating and expanding the function of the black edge of the windshield and integrating it into the automobile intelligent system has become a new direction for automobile technology research and development.

[0003] At present, the black border of the existing car windshield is a static design, which is only used to cover the sheet metal joints and glue marks, and cannot be dynamically adjusted according to the angle of sunlight. When the driver is exposed to strong light, he needs to rely on the sun visor or manual adjustment, which poses a safety hazard and inconvenience. In view of this, we propose a control system that controls the black border area of ​​the windshield through a sunlight sensor. Summary of the invention

[0004] The main purpose of the present invention is to provide a control system for controlling the black edge area of ​​the windshield through a sunlight sensor, which can solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention proposes a control system for controlling the black edge area of ​​the windshield by using a sunlight sensor, comprising:

[0006] Sunlight sensor module, used to detect the intensity, incident angle and light source position of the vehicle's external light in real time;

[0007] A data processing unit connected to the sunlight sensor module, used to receive sensor signals and calculate dynamic adjustment parameters of the black edge area;

[0008] A motor control module generates a motor drive instruction according to the parameters output by the data processing unit;

[0009] A guide rail mechanism is installed along the edge of the windshield and is linked with the motor control module;

[0010] The retractable black edge component can achieve linear displacement along the curvature of the glass through the guide mechanism, and dynamically adjust the shading range;

[0011] Human-computer interaction module, supporting voice commands and touch-screen manual adjustment;

[0012] Communication integration module, connected to the vehicle CAN bus, for coordinated control with the vehicle ECU;

[0013] Edge computing modules, deployed on vehicle embedded processors and cloud servers, for real-time data processing and model training;

[0014] Install the structural module, ensure that the sunlight sensor module is embedded in the front windshield glass ceramic layer, and the guide mechanism is hidden in the A-pillar interior panel.

[0015] Preferably, the sunlight sensor module includes a multi-spectral sensor array, an angle detection unit, and a position calibration module. The multi-spectral sensor array covers a wavelength range of 300-1100nm and a detection accuracy of ±3%. The angle detection unit determines the incident angle of the light source based on a light spot positioning algorithm with an error of ≤1.5°. The position calibration module verifies the light source orientation by combining GPS data with a solar altitude angle model. The multi-spectral sensor array can accurately detect light of different wavelengths to obtain more comprehensive light information. The high-precision algorithm of the angle detection unit ensures accurate measurement of the incident angle of the light source. The position calibration module further improves the accuracy of the light source orientation. The three work together to provide reliable light data support for the system.

[0016] Preferably, the data processing unit includes an adaptive filtering algorithm and a dynamic priority allocation module. The adaptive filtering algorithm can effectively remove the interference of environmental noise on sensor data to ensure the accuracy of the data; the dynamic priority allocation module reasonably adjusts the response logic of the black edge according to different driving scenarios to make the system more intelligent and user-friendly.

[0017] Preferably, the adaptive filtering algorithm uses Kalman filtering to eliminate environmental noise, and the dynamic priority allocation module adjusts the black edge response logic according to the driving scenario, including delaying the response time ≥ 0.5 seconds in high-speed mode and predicting changes in the angle of incidence of sunlight when driving on a curve. The Kalman filtering algorithm can accurately extract useful light data in a complex environment by predicting and measuring the system state. Delaying response in high-speed mode can avoid frequent adjustment of black edges and ensure driving stability. The predictive function when driving on a curve adjusts the black edges in advance to ensure the continuity of the shading effect.

[0018] Preferably, the motor control module includes a PID controller and a fault detection unit. The PID controller can accurately control the speed and position of the motor, making the movement of the retractable black edge component smoother and more precise; the fault detection unit monitors the operating status of the motor in real time, detects and handles faults in a timely manner, and improves the reliability and safety of the system.

[0019] Preferably, the PID controller parameters are set to Kp=2.5, Ti=0.1s, Td=0.05s, and the fault detection unit is responsible for triggering the protection mode when the motor load current exceeds the threshold (≥1.2A). Such parameter settings can enable the motor to maintain good control performance under different working conditions, and the threshold setting of the fault detection unit provides reliable protection for the motor to prevent the motor from being damaged due to overload.

[0020] Preferably, the human-computer interaction module includes a touch screen adjustment unit and a voice control unit. The touch screen adjustment unit provides an intuitive operation interface, which is convenient for the driver to manually adjust the black border position; the voice control unit further improves the convenience of operation. The driver does not need manual operation, and can adjust the black border through voice commands, thereby improving driving safety.

[0021] Preferably, the touch screen adjustment unit provides a manual setting interface for the black border position with a touch accuracy of ±1mm. The voice control unit integrates the iFlytek voice recognition engine and supports commands such as "turn on strong light mode" and "turn off strong light mode". The high-precision touch accuracy enables the driver to adjust the black border position more accurately to meet personalized needs. The integration of the iFlytek voice recognition engine ensures accurate recognition of voice commands and improves the reliability and ease of use of voice control.

[0022] Preferably, the edge computing module includes an on-board embedded processor and a cloud server. The on-board embedded processor is responsible for real-time processing of local data to ensure the real-time responsiveness of the system; the cloud server is used to store a large amount of historical data and perform deep learning model training to provide data support and algorithm improvement for system optimization.

[0023] Preferably, the vehicle-mounted embedded processor (model TI TDA4VM) is responsible for performing real-time filtering and angle calculation, and the cloud server is used to store historical data and deep learning model training. The TI TDA4VM processor has powerful computing power and low power consumption characteristics, and can efficiently complete real-time filtering and angle calculation tasks; the storage and training functions of the cloud server enable the system to continuously learn and optimize to adapt to different driving scenarios and user habits.

[0024] The present invention provides a control system for controlling the black edge area of ​​the windshield through a sunlight sensor. It has the following beneficial effects:

[0025] (1) The control system that controls the black edge area of ​​the windshield through the sunlight sensor can detect the sunlight intensity, incident angle and light source position in real time, and automatically adjust the shading range of the retractable black edge component according to these data, effectively blocking the sunlight, reducing the interference of strong light on the driver's vision, and significantly improving driving safety. Whether it is during the day with strong sunlight or in an environment with complex light, the system can respond in time to provide the driver with a clear field of vision and reduce the risk of accidents.

[0026] (2) The control system that controls the black border area of ​​the windshield through the sunlight sensor integrates a human-computer interaction module through the system, supports voice commands and touch screen manual adjustment, and is convenient for the driver to adjust the black border state at any time according to personal needs, thereby improving the user experience. The driver can easily control the black border through voice commands without taking his hands off the steering wheel, and can also make fine adjustments through the touch screen when parking, meeting the operation requirements in different scenarios.

[0027] (3) The control system that controls the black edge area of ​​the windshield through the sunlight sensor deploys the edge computing module to enable the system to process data in real time and perform model training. Through OTA updates and optimization of the shading strategy, the system can continuously adapt to new driving environments and user needs, and has good scalability and adaptability. With the continuous accumulation of driving data, the system can learn and optimize the shading strategy, provide more personalized and efficient shading services, and always maintain the advancement and practicality of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0029] Figure 1 is a system block diagram of the present invention;

[0030] Figure 2 Part of the process of the present invention Figure 1 ;

[0031] Figure 3 Part of the process of the present invention Figure 2 ;

[0032] Figure 4 Part of the process of the present invention Figure 3 ;

[0033] Figure 5 Part of the process of the present invention Figure 4 ;

[0034] Figure 6 Part of the process of the present invention Figure 5 ;

[0035] Figure 7 Part of the process of the present invention Figure 5 ;

[0036] Figure 8 Part of the process of the present invention Figure 5 .

[0037] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1-Figure 8The present invention proposes a control system for controlling the black edge area of ​​the windshield through a sunlight sensor, including a sunlight sensor module, a data processing unit, a motor control module, a guide rail mechanism, a retractable black edge component, a human-computer interaction module, a communication integration module, an edge computing module, and an installation structure module. The sunlight sensor module is used to detect the intensity, incident angle, and light source position of the external light of the vehicle in real time. The module can accurately capture the changes in sunlight and provide an accurate data basis for subsequent black edge adjustment, ensuring that the adjustment of the black edge matches the actual sunlight exposure and improving the accuracy of the sunshade effect. The data processing unit is connected to the sunlight sensor module to receive sensor signals and calculate the black edge area The dynamic adjustment parameters of the black edge are deeply analyzed and processed by the sunlight sensor, and a variety of algorithms and models are combined to obtain the most suitable black edge adjustment parameters, so that the adjustment of the black edge is more scientific and reasonable, and can adapt to different driving scenes and light conditions. The motor control module generates motor drive instructions according to the parameters output by the data processing unit, and controls the operation of the motor through precise instructions to ensure that the motor can drive the retractable black edge component at the expected speed and direction, and ensure the stability and reliability of the black edge adjustment. The guide mechanism is installed along the edge of the windshield and linked with the motor control module to provide a stable motion track for the retractable black edge component, so that the black edge component can smoothly perform linear movement along the curvature of the glass. The retractable black edge component can achieve linear displacement along the curvature of the glass through the guide rail mechanism, dynamically adjust the shading range, flexibly change the shading area according to different sunlight exposure conditions, effectively block the sunlight, reduce the interference of strong light on the driver's vision, and improve driving safety and comfort. The human-computer interaction module supports voice commands and touch screen manual adjustment, which is convenient for the driver to adjust the black edge state at any time according to personal needs, increasing the convenience and flexibility of operation and improving the user experience. The communication integration module is connected to the vehicle CAN bus for coordinated control with the on-board ECU, realizing information sharing and collaborative work with other vehicle systems. The black border adjustment can be coordinated with the overall operation status of the vehicle, which improves the intelligence level of the vehicle. The edge computing module is deployed on the vehicle embedded processor and the cloud server for real-time data processing and model training. By processing data in real time and continuously optimizing the model, the system can continuously adapt to new driving environments and user needs, and continuously improve the performance and adjustment effect of the system. The installation structure module ensures that the sunlight sensor module is embedded in the front windshield glass ceramic layer, and the guide mechanism is hidden in the A-pillar interior panel. This design not only ensures the aesthetics of the system, but also improves the protection performance of the system, avoids the influence of the external environment on the sunlight sensor and the guide mechanism, and prolongs the service life of the system.

[0040] In an embodiment of the present invention, the sunlight sensor module includes a multi-spectral sensor array, an angle detection unit, and a position calibration module. The multi-spectral sensor array covers a wavelength range of 300-1100nm, with a detection accuracy of ±3%. The angle detection unit determines the incident angle of the light source based on a light spot positioning algorithm, with an error of ≤1.5°. The position calibration module verifies the light source orientation by combining GPS data with a solar altitude angle model. The multi-spectral sensor array consists of 6 groups of AMS AS7341 sensors, which are embedded in the ceramic layer at a lateral interval of 50mm along the upper edge of the windshield, with a light transmittance of ≥90%. The ambient light data is collected every 50ms and transmitted through I 2 C bus is transmitted to the data processing unit. The formula for calculating the incident angle of the light source is:

[0041]

[0042] Among them, Δd is the offset of the adjacent sensor spots, and L = 50mm is the sensor spacing. The angle detection unit integrates a MEMS gyroscope (model ST LSM6DSR) to compensate for the measurement error caused by vehicle bumps and ensure that the angle error is ≤1.5°. Through the coordinated work of the multi-spectral sensor array, angle detection unit and position calibration module, it can stably and accurately obtain various parameters of sunlight during vehicle driving, even in complex situations such as bumps and light changes, providing a reliable basis for subsequent black edge adjustment.

[0043] Furthermore, the data processing unit includes an adaptive filtering algorithm and a dynamic priority allocation module. The adaptive filtering algorithm uses Kalman filtering to eliminate environmental noise, which is specifically implemented by the following steps:

[0044] State prediction: predict the current light state based on the estimated value at the previous moment;

[0045] Measurement update: Correct the predicted value based on the actual sensor measurement value;

[0046] Noise adaptation: Dynamically update noise parameters to adapt to different lighting environments;

[0047] The dynamic priority allocation module adjusts the black edge response logic according to the driving scenario, including

[0048] High-speed mode: (vehicle speed ≥ 80km / h): delayed response time ≥ 0.5 seconds, suppressing frequent adjustments;

[0049] Cornering mode: Combines data from the steering angle sensor (Bosch SMI130) to predict changes in the angle of sunlight incidence;

[0050] Tunnel mode: when the light intensity drops by ≥50% within 5 seconds, automatic adjustment is disabled;

[0051] When driving at high speeds, delayed response can avoid frequent adjustment of black edges due to bumpy roads or slight changes in light, which can affect driving stability; in curve mode, changes in the angle of incidence of sunlight can be predicted in advance based on the steering angle sensor data, so that the black edges can be adjusted in advance to ensure the sunshade effect; in tunnel mode, automatic adjustment is disabled to prevent the black edges from frequently expanding and contracting in a short period of time, thereby improving the stability and reliability of the system.

[0052] Furthermore, the motor control module includes a PID controller and a fault detection unit. The PID controller parameters are set to Kp=2.5, Ti=0.1s, Td=0.05s, and the overshoot limit is ≤5%. The black edge displacement accuracy of ±2mm is ensured through dual closed-loop control (position loop + current loop). The fault detection unit triggers the protection mode when the motor load current is ≥1.2A, automatically switches to the backup motor and records the fault code (OBD-IIP0A3F). The dual closed-loop control method can accurately control the speed and position of the motor, ensure the displacement accuracy of the black edge component, and meet the sunshade requirements; the setting of the fault detection unit and the backup motor improves the fault tolerance of the system. Even if the motor fails, the system can continue to work to ensure driving safety.

[0053] Furthermore, the guide rail mechanism is a segmented flexible track, including: an articulated unit, each section is 80mm long, a universal joint connection, and the curvature is adapted to the windshield (R≥1500mm); a low-friction coating, the surface is sprayed with PTFE material, and the friction coefficient is ≤0.05. The segmented flexible track design enables it to better fit the curvature of the windshield, the universal joint connection ensures the flexibility of the track, and the low-friction coating reduces the resistance of the black edge component during movement, making the extension and retraction of the black edge smoother, reducing the load on the motor, and extending the service life of the system.

[0054] Furthermore, the retractable black-edge component includes a multi-layer composite shading sheet, the outer layer is a UV-Cut glass coating, and the inner layer is a graphene heat-absorbing layer; the foldable support frame adopts a spring hinge structure, and the unfolding stroke is 0-200mm. The UV-Cut glass coating can effectively block ultraviolet rays and protect the driver's skin and interior decoration; the graphene heat-absorbing layer can absorb heat from the sun and reduce the temperature rise in the car; the spring hinge structure of the foldable support frame ensures the stability and reliability of the black-edge component during the retraction process, and the unfolding stroke can meet different shading needs.

[0055] Furthermore, the human-computer interaction module includes a touch screen adjustment unit and a voice control unit. The touch screen adjustment unit provides a manual setting interface for the black border position, with a touch accuracy of ±1mm, supports multi-touch zoom function, and can display the coverage of the shading area in real time. The voice control unit integrates the iFlytek voice recognition engine with a response time of ≤0.8 seconds, supports natural language commands such as "turn on strong light mode" and "turn off strong light mode", and is compatible with dialect recognition. The multi-touch zoom function and real-time display of the shading area coverage of the touch screen adjustment unit make it convenient for the driver to intuitively adjust the black border position to meet personalized needs; the quick response and dialect recognition functions of the voice control unit improve the convenience and versatility of voice control, so that drivers in different regions can use it easily.

[0056] Furthermore, the communication protocol of the communication integration module includes: dedicated message ID: 0x18FF45A1, the data field contains the black edge position, light intensity and fault code; and the coordination strategy with the vehicle ECU: when the vehicle speed is ≥80km / h, the large adjustment of the black edge is disabled. This communication protocol ensures the accuracy and efficiency of data transmission between the system and the vehicle ECU, making the information interaction between the vehicle systems smoother. Limiting the large adjustment of the black edge when the vehicle speed is high is to avoid affecting the driver's line of sight due to excessive black edge adjustment, prevent distraction of the driver's attention, and ensure driving safety when driving at high speeds. Such a collaborative strategy makes the control system of the entire vehicle more intelligent and safer, and improves the overall reliability and stability of the vehicle.

[0057] Furthermore, the edge computing module includes an on-board embedded processor and a cloud server. The on-board embedded processor (model TI TDA4VM) is responsible for performing real-time filtering and angle calculations, with a memory footprint of ≤512MB and an operation cycle of ≤10ms to ensure the real-time performance of the system. The cloud server is used to store historical data and deep learning model training, and optimize the shading strategy through OTA updates. The TI TDA4VM processor, with its powerful computing power and low memory footprint, can complete complex data processing tasks in a short time, providing a solid guarantee for the real-time response of the system. The cloud server uses its massive storage and powerful computing resources to analyze a large amount of historical data and train deep learning models. Through OTA updates, the system can continuously optimize the shading strategy to adapt to the driving habits of different users and various complex driving scenarios, such as different seasons and different regions of light differences, thereby providing drivers with more personalized and intelligent shading services.

[0058] Furthermore, the installation structure module meets the following requirements: the sunlight sensor module is embedded in the front windshield glass ceramic layer, with a light transmittance of ≥90%, avoiding the wiper activity area; the guide rail mechanism is hidden in the A-pillar interior panel, with no exposed mechanical structure on the exterior, and a silicone seal strip is used on the contact surface with the glass to prevent dust and water. The sunlight sensor is embedded in the ceramic layer and ensures high light transmittance, which does not affect the sensor's detection accuracy of light, and can effectively protect the sensor from interference and damage from external environmental factors. Avoiding the wiper activity area can prevent the wiper from colliding with the sensor during operation and extend the service life of the sensor. The guide rail mechanism is hidden in the A-pillar interior panel, which not only improves the overall aesthetics of the vehicle interior, but also reduces the safety hazards caused by the exposure of the mechanical structure. The use of silicone seal strips effectively blocks dust and moisture from entering the guide rail, avoiding rust and jamming of the guide rail due to dust accumulation or moisture erosion, ensuring the normal operation of the guide rail mechanism and the retractable black edge component, and reducing the maintenance cost of the system.

[0059] In the present invention, when in use, after the vehicle is started, the sunlight sensor module immediately starts working, continuously collects the light intensity, incident angle and light source position information outside the vehicle, and transmits these data to the data processing unit in real time. After receiving the data, the data processing unit first uses an adaptive filtering algorithm to remove the interference of environmental noise, and then calculates the dynamic adjustment parameters of the black edge area through the dynamic priority allocation module in combination with the current driving scene (such as vehicle speed, whether it is in a curve, whether it is in a tunnel, etc.), and sends these parameters to the motor control module.

[0060] The motor control module uses the PID controller to accurately control the operation of the motor based on the received parameters. The motor drives the guide rail mechanism to drive the retractable black edge component to perform linear displacement along the curvature of the windshield to achieve dynamic adjustment of the sunshade range. For example, when the sun is strong and directly hits the driver's eyes, the system will quickly drive the black edge component to extend to effectively block the sun; when the sun angle changes and no longer interferes with the driver's vision, the black edge component will automatically shrink to restore the driver's field of vision.

[0061] During driving, if the driver has special needs, manual adjustments can be made through the human-computer interaction module. For example, if the driver feels that the automatically adjusted sunshade effect is not ideal, the black edge position can be manually set through the touch screen adjustment unit. The touch accuracy can reach ±1mm, and the sunshade area can be intuitively adjusted through the multi-touch zoom function. The driver can also issue commands through the voice control unit, such as "turn on the strong light mode" or "turn off the strong light mode". The iFlytek voice recognition engine integrated in the voice control unit has a response time of ≤0.8 seconds and is compatible with dialect recognition, which greatly facilitates the operation of drivers in different regions.

[0062] The communication integration module continuously exchanges data with the vehicle ECU, and coordinates the adjustment of the black edge according to the vehicle status information such as vehicle speed. When the vehicle speed is ≥80km / h, the system will automatically limit the large adjustment of the black edge to ensure driving safety. At the same time, the communication integration module transmits information such as the black edge position, light intensity and fault code to the vehicle ECU through a dedicated message ID (0x18FF45A1), so that the entire control system of the vehicle can timely understand the working status of the black edge control system.

[0063] The vehicle-mounted embedded processor (TI TDA4VM) in the edge computing module continuously performs real-time filtering and angle calculation on sensor data to ensure the real-time performance of the system. The cloud server is responsible for storing a large amount of historical data, using this data for deep learning model training and continuously optimizing the shading strategy. Through OTA updates, the optimized shading strategy is pushed to the vehicle-mounted embedded processor, allowing the system to continuously adapt to new driving environments and user needs, providing more intelligent and efficient shading services.

[0064] In addition, the system's fault detection unit constantly monitors the motor's load current. Once the motor load current is ≥1.2A, the fault detection unit immediately triggers the protection mode, automatically switches to the backup motor, ensures that the normal adjustment of the black-edge component is not affected, and records the fault code (OBD-IIP0A3F). Maintenance personnel can quickly locate and resolve faults by reading the fault code, improving the maintainability of the system.

[0065] In summary, the control system of the present invention, which controls the black border area of ​​the windshield through a sunlight sensor, integrates a variety of advanced technologies and functional modules, and can efficiently and intelligently adjust the black border area of ​​the windshield according to sunlight exposure conditions and driving scenarios, thereby improving driving safety and comfort. It also has good scalability and adaptability, and provides strong technical support for the future development of intelligent automobiles.

[0066] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or directly / indirectly applied in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A control system for controlling the black edge area of ​​the windshield through a sunlight sensor, characterized in that: include: Sunlight sensor module, used to detect the intensity, incident angle and light source position of the vehicle's external light in real time; A data processing unit connected to the sunlight sensor module, used to receive sensor signals and calculate dynamic adjustment parameters of the black edge area; A motor control module generates a motor drive instruction according to the parameters output by the data processing unit; A guide rail mechanism is installed along the edge of the windshield and is linked with the motor control module; The retractable black edge component can achieve linear displacement along the curvature of the glass through the guide mechanism, and dynamically adjust the shading range; Human-computer interaction module, supporting voice commands and touch-screen manual adjustment; Communication integration module, connected to the vehicle CAN bus, for coordinated control with the vehicle ECU; Edge computing modules, deployed on vehicle embedded processors and cloud servers, for real-time data processing and model training; Install the structural module, ensure that the sunlight sensor module is embedded in the front windshield glass ceramic layer, and the guide mechanism is hidden in the A-pillar interior panel.

2. The control system for controlling the black edge area of ​​the windshield by a sunlight sensor according to claim 1, characterized in that: The sunlight sensor module includes a multi-spectral sensor array, an angle detection unit, and a position calibration module. The multi-spectral sensor array covers a wavelength range of 300-1100nm and a detection accuracy of ±3%. The angle detection unit determines the incident angle of the light source based on a spot positioning algorithm with an error of ≤1.5°. The position calibration module combines GPS data with a solar altitude angle model to verify the light source orientation.

3. The control system for controlling the black edge area of ​​the windshield by a sunlight sensor according to claim 1, characterized in that: The data processing unit includes an adaptive filtering algorithm and a dynamic priority allocation module.

4. The control system for controlling the black edge area of ​​the windshield by a sunlight sensor according to claim 3, characterized in that: The adaptive filtering algorithm uses Kalman filtering to eliminate environmental noise, and the dynamic priority allocation module adjusts the black edge response logic according to the driving scenario, including delaying the response time by ≥ 0.5 seconds in high-speed mode and predicting changes in the angle of incidence of sunlight when driving on a curve.

5. The control system for controlling the black edge area of ​​the windshield by a sunlight sensor according to claim 1, characterized in that: The motor control module includes a PID controller and a fault detection unit.

6. The control system for controlling the black edge area of ​​the windshield by a sunlight sensor according to claim 5, characterized in that: The PID controller parameters are set to Kp=2.5, Ti=0.1s, Td=0.05s, and the fault detection unit is responsible for triggering the protection mode when the motor load current exceeds a threshold value (≥1.2A).

7. The control system for controlling the black edge area of ​​the windshield by a sunlight sensor according to claim 1, characterized in that: The human-computer interaction module includes a touch screen adjustment unit and a voice control unit.

8. The control system for controlling the black edge area of ​​the windshield by a sunlight sensor according to claim 7, characterized in that: The touch screen adjustment unit provides a manual setting interface for the black border position with a touch accuracy of ±1mm. The voice control unit integrates the iFlytek voice recognition engine and supports commands such as "turn on strong light mode" and "turn off strong light mode".

9. The control system for controlling the black edge area of ​​the windshield by a sunlight sensor according to claim 1, characterized in that: The edge computing module includes a vehicle-mounted embedded processor and a cloud server.

10. The control system for controlling the black edge area of ​​the windshield by a sunlight sensor according to claim 9, characterized in that: The vehicle-mounted embedded processor (model TI TDA4VM) is responsible for performing real-time filtering and angle calculation, and the cloud server is used to store historical data and deep learning model training.

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