Self-adaptive control method and system for active side wings of automobile seat and application

Abstract

The invention belongs to the technical field of automobile seat intelligent control, and provides a self-adaptive control method and system for an active side wing of an automobile seat and application, and the method comprises the steps: obtaining multi-source sensing information, including vehicle driving state information, driver steering intention, passenger individual characteristics and passenger real-time postures; performing comprehensive analysis and calculation on the multi-source sensing information based on a control decision hybrid model to obtain adjustment parameters of the active side wings of the seat; controlling the active side wings to execute supporting actions corresponding to the adjusting parameters based on the adjusting parameters; in the supporting action adjusting process of the active side wings, the supporting state of the active side wings is fed back in real time, and deviation correction is completed in combination with a closed-loop dynamic fine adjustment mechanism. Intelligent and precise active side wing adjustment can be achieved, the response speed is high, and the good dynamic self-adaptive capacity is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control of automobile seats, and in particular to an adaptive control method and system for active side wings of automobile seats and applications thereof. BACKGROUND

[0002] During driving, especially under conditions such as turning, accelerating, and decelerating, the passenger's body is prone to tilting or shifting due to inertia, which not only reduces the comfort of the ride but also may cause safety hazards. Although some automobile seats have side wings with adjustment functions, the existing technology still has obvious limitations, for example:

[0003] 1) Insufficient support accuracy: Most systems only rely on a single parameter such as vehicle lateral acceleration for "rough" adjustment, and do not fully consider the differences in passenger body shape, real-time sitting posture, and body weight distribution, resulting in poor support for thin or obese passengers under the same driving conditions, either insufficient support or excessive compression.

[0004] 2) Response speed lag: The traditional system has a long cycle from sensor signal acquisition to side wing execution, making it difficult to react before or simultaneously with the passenger's body tilting during emergency lane changes or high-speed cornering, causing unnecessary body movement.

[0005] 3) Lack of dynamic adaptive ability: Existing adjustments are mostly open-loop control, and once set, the system cannot real-time perceive the real fit state and pressure distribution of the side wings and the passenger's body. When the passenger's clothing thickness changes or the sitting posture is slightly adjusted, the system cannot automatically adjust again, which may cause support gaps or local pressure concentration.

[0006] In addition, existing automobile seat side wings, some of which are fixed structures, cannot be adjusted according to the vehicle driving state and passenger body shape and posture, and cannot provide good lateral support for passengers. Some have certain adjustment functions, but mostly use manual adjustment, which is inconvenient to operate, and it is difficult to provide appropriate support for passengers in real time and accurately during vehicle driving.

[0007] In view of the above problems, relevant automobile enterprises have developed various advanced automobile seat control technologies. For example, the patent application file with the publication number CN118906927A discloses an automobile seat control system and method with adaptive side wing adjustment, which includes a passenger classification system, a seat position control system, a side wing follow-up system, and a seat air bag control system. The passenger classification system automatically determines whether there is a passenger on the seat through a pressure sensor, etc. When there is a passenger, the passenger classification system automatically identifies the body weight classification and sends the corresponding signal to the seat air bag control system and the seat position control system. The seat position control system adjusts the backrest, slide rail, and seat cushion of the seat to the corresponding position. The seat air bag control system adjusts the air bag pressure according to the human body signal to adjust the backrest air bag, seat cushion air bag, and side wing air bag to the corresponding pressure, which conforms to the human body and improves the comfort of the passenger. When the automobile encounters a turning road condition during driving, the gyroscope built-in the side wing follow-up system judges the acceleration and angular velocity of the vehicle body, and then opens the air bag of the side wing to quickly inflate and support the passenger, thereby improving the comfort of the passenger's side wing. However, this method lacks sensors for continuously monitoring the actual fitting state and pressure distribution of the side wing and the passenger's body after inflation, and cannot automatically fine-tune when the passenger moves or the clothing changes. SUMMARY

[0008] In view of the above-mentioned shortcomings of the prior art, the present application provides an adaptive control method, system and application of an automobile seat active side wing, which can realize intelligent and precise active side wing adjustment, has fast response speed, and has good dynamic adaptive ability.

[0009] To achieve the above object and related objects, the present application adopts the following technical solutions:

[0010] The present application provides an adaptive control method of an automobile seat active side wing, comprising the following steps:

[0011] Step S100: acquiring multi-source perception information, including vehicle driving state information, driver steering intention, passenger individual characteristics, and passenger real-time posture;

[0012] Step S200: comprehensively analyzing and calculating the multi-source perception information based on a control decision hybrid model to obtain adjustment parameters of the seat active side wing;

[0013] Step S300: controlling the active side wing to perform a supporting action corresponding to the adjustment parameters based on the adjustment parameters;

[0014] Step S400: during the adjustment process of the supporting action of the active side wing, real-time feedback of the supporting state of the active side wing is performed, and a closed-loop dynamic fine-tuning mechanism is combined to complete deviation correction.

[0015] Further, in step S100, the vehicle driving state information includes acceleration, steering angle, speed, and driving direction of the vehicle; the driver steering intention is obtained by judging the collected steering wheel rotation angle and rotation speed; the passenger individual characteristics include passenger body shape, sitting posture, and body position on the seat determined based on seat pressure distribution information; and the passenger real-time posture includes body roll angle and forward and backward inclination angle.

[0016] Further, in step S200, the control decision hybrid model includes a rapid control model based on vehicle driving rules, a support force calculation model based on vehicle driving state information and passenger individual characteristics, an adaptive seat state adjustment model based on multi-source perception information, a deviation closed-loop control model, and a signal conversion driving model.

[0017] Further, in step S200, the adjustment parameter includes the deployment angle and telescopic length of the active side wing and the required pressure.

[0018] Further, in step S400, the closed-loop dynamic fine-tuning mechanism includes: comparing the feedback support state with the preset target state in the deviation closed-loop control model, and dynamically fine-tuning the adjustment parameter in combination with the support force calculation model to correct the deviation.

[0019] Further, the support state includes position information of the active side wing and pressure information applied by the passenger to the active side wing.

[0020] The second aspect of the present application provides an adaptive control system of an active side wing of an automobile seat, comprising:

[0021] The acquisition module is configured to acquire multi-source perception information, including vehicle driving state information, driver steering intention, passenger individual characteristics, and passenger real-time posture.

[0022] The calculation module is configured to comprehensively analyze and calculate the multi-source perception information based on the control decision hybrid model to obtain the adjustment parameter of the seat active side wing.

[0023] The adjustment module is configured to control the active side wing to perform a support action corresponding to the adjustment parameter based on the adjustment parameter.

[0024] The feedback and correction module is configured to, in the support action adjustment process of the active side wing, feedback the support state of the active side wing in real time, and complete deviation correction in combination with the closed-loop dynamic fine-tuning mechanism.

[0025] Further, the feedback and correction module includes a dynamic fine-tuning module configured to compare the feedback support state with the preset target state in the deviation closed-loop control model, and dynamically fine-tune the adjustment parameter in combination with the support force calculation model to correct the deviation.

[0026] The third aspect of the present application provides a computer readable storage medium, which stores computer readable instructions, when the computer readable instructions are executed by a processor of a computer, the computer executes the adaptive control method of the active side wing of the automobile seat.

[0027] The fourth aspect of the present application provides a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, when the processor executes the computer program, the steps of the adaptive control method of the active side wing of the automobile seat are implemented.

[0028] The beneficial technical effects of the present application are that:

[0029] The present application forms a complete closed-loop adaptive control method from the collection of multi-source perception information, data analysis and calculation, active side wing adjustment control to real-time feedback and deviation correction, which is significantly different from the existing technology which is based on vehicle driving parameters or simple manual adjustment. Through multi-source information fusion and control decision hybrid model, the intelligent and precise adjustment of the seat active side wing is realized.

[0030] The present application can provide precise and appropriate lateral support according to different driving conditions and individual differences of passengers by collecting multi-source perception information and intelligently adjusting the seat active side wing, which greatly improves the comfort and safety of passengers. Moreover, the present application uses control decision hybrid model and closed-loop dynamic fine-tuning mechanism to ensure that the seat active side wing is always in the best support state, further improving the accuracy and reliability of the adjustment.

[0031] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0032] The accompanying drawings incorporated in and forming a part of the specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application. It is explicitly contemplated that the drawings described below are only some embodiments of the present application, and other drawings can be obtained by those of ordinary skill in the art without creative effort, based on these drawings. In the drawings:

[0033] Figure 1 The flowchart of the adaptive control method of the active side wing of the automobile seat of the present application;

[0034] Figure 2 The framework diagram of the adaptive control system of the active side wing of the automobile seat of the present application;

[0035] Figure 3 The structure schematic diagram of the computer system of the computer device suitable for the embodiments of the present application is shown. Detailed Implementation

[0036] Unless otherwise defined, all technical and / or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should be understood that certain features of the invention (described in the context of separate embodiments for clarity) may also be provided in a single embodiment. Conversely, multiple features of the invention (described in the context of a single embodiment for brevity) may also be provided separately or in any suitable combination or, where appropriate, in any other described embodiment of the invention. Certain features described in the context of various embodiments will not be considered essential features of those embodiments unless the embodiment is inoperable without those elements. The invention is further illustrated below by specific examples; however, it should be noted that the specific process conditions and results described in the embodiments of the invention are merely illustrative and should not be construed as limiting the scope of protection of the invention. All equivalent changes or modifications made in accordance with the spirit and essence of the invention should be covered within the scope of protection of the invention.

[0037] Please see Figure 1 The flowchart of the adaptive control method for the active side wings of the automotive seat in this application is described in detail below:

[0038] Step S100: Obtain multi-source perception information, including vehicle driving status information, driver steering intention, occupant individual characteristics, and occupant real-time posture.

[0039] Specifically, this application utilizes onboard sensors to collect vehicle driving status information. These onboard sensors include, but are not limited to, accelerometers, gyroscopes, and vehicle speed sensors. The collected vehicle driving status information includes, but is not limited to, vehicle acceleration, steering angle, vehicle speed, and driving direction. This application also utilizes a steering wheel angle sensor to obtain the steering wheel's rotation angle and speed, thereby determining the driver's steering intention and degree of steering.

[0040] Specifically, this application incorporates sensors such as a pressure sensor array, an infrared sensor, and a camera on the seat. The pressure sensor array is distributed across the seat surface to detect the pressure distribution of the occupant on the seat, thereby determining the occupant's individual characteristics, including but not limited to body shape, posture, and body position on the seat. This application utilizes the infrared sensor and camera to detect the occupant's real-time posture, including but not limited to the body's lateral tilt angle and forward / backward tilt angle.

[0041] Step S200: Based on the control decision hybrid model, the multi-source sensing information is comprehensively analyzed and calculated to obtain the adjustment parameters of the active side wings of the seat.

[0042] Specifically, the control decision hybrid model of the application includes a rapid control model based on vehicle driving rules, a support force calculation model based on vehicle driving state information and individual characteristics of passengers, an adaptive seat state adjustment model based on multi-source perception information, a deviation closed-loop control model, and a signal conversion driving model.

[0043] Specifically, the automobile suitable for the method of the application is also provided with a control unit. The multi-source perception information obtained by the application is transmitted to the control unit of the active side wing of the automobile seat. The control unit is used for comprehensive analysis and calculation, and the adjustment parameters are calculated based on the preset control decision hybrid model, including but not limited to the unfolding angle, the telescopic length and the pressure required to be applied of the active side wing. More specifically, the rapid control model based on the vehicle driving rules includes: when the vehicle makes a sharp turn at a high speed, the active side wing is triggered to support and quickly control the action of the active side wing. The triggering conditions include but are not limited to the vehicle speed exceeding a preset threshold and the steering angle exceeding a preset threshold. For example, when the vehicle makes a sharp turn at a high speed, the control unit calculates the appropriate side wing unfolding angle and pressure according to the vehicle speed, steering angle and other information, combined with the passenger's body shape and sitting posture, to provide sufficient lateral support. The support force calculation model based on the vehicle driving state information and the individual characteristics of the passengers includes: according to the vehicle dynamics and ergonomics model, the vehicle driving state (such as lateral acceleration, steering angle, etc.) and the passenger's body weight are calculated to obtain the theoretical support force required to offset the centrifugal force. At the same time, the adaptive seat state adjustment model based on multi-source perception information can adaptively adjust the theoretical support force according to the passenger's body shape (such as thin or fat) or the preset comfort preference to generate a target state, including but not limited to a target pressure value, so as to realize the accuracy and individualization of the support. The deviation closed-loop control model includes the deviation between the actual support pressure, the position of the active side wing and the target state, which are fed back in real time by the pressure sensor, the position sensor and the like, and dynamically adjusts the adjustment parameters of the active side wing to ensure the accuracy and stability of the support effect. The signal conversion driving model includes converting the calculated adjustment parameters into control signals for the driving device, and driving the active side wing to perform the support action through the driving device.

[0044] Step S300: controlling the active side wing to perform a support action corresponding to the adjustment parameters based on the adjustment parameters.

[0045] Specifically, the control unit of the application sends a control signal to the driving device of the seat active side wing according to the calculated adjustment parameters, and drives the active side wing to perform a support action corresponding to the adjustment parameters.

[0046] Step S400: during the adjustment process of the support action of the active side wing, the support state of the active side wing is fed back in real time, and the deviation correction is completed by combining the closed-loop dynamic fine-tuning mechanism.

[0047] Specifically, the closed-loop dynamic fine-tuning mechanism of this application includes: comparing the feedback support status with the preset target status in the deviation closed-loop control model; if a deviation exists, dynamically fine-tuning the adjustment parameters in conjunction with the support force calculation model to correct the deviation. The support status includes the position information of the active wing and the pressure information applied by the occupants to the active wing.

[0048] Specifically, during the active side wing adjustment process of the seat, pressure sensors and position sensors provide real-time feedback on the position information of the side wings and the pressure information applied to the passenger's body to the control unit. The control unit compares and analyzes the feedback information with preset adjustment parameters. If a deviation exists, it promptly adjusts the control signal to dynamically fine-tune the active side wings of the seat, ensuring that the side wings are always in the optimal support state.

[0049] Specifically, taking a sedan equipped with the method of this application as an example, the adaptive control process of its active side wing of the seat is as follows:

[0050] 1. During vehicle operation, the acceleration sensor detects that the vehicle is turning left at a speed of 60 km / h with a steering angle of 30 degrees. The steering wheel angle sensor detects that the steering wheel is turning rapidly, indicating that the vehicle is performing a sharp turn.

[0051] 2. The pressure sensor array on the seat detected that the passenger was slim, sat upright, and was centered on the seat; the infrared sensor and camera detected that the passenger's body tilted to the left by 15 degrees.

[0052] 3. After receiving the above multi-source sensing information, the control unit calculates based on the preset control decision hybrid model and concludes that the left active side wing of the seat needs to be deployed at 45 degrees and apply 50N of pressure to provide sufficient lateral support.

[0053] 4. The control unit sends a control signal to the electric push rod drive device of the left active wing. The electric push rod drives the wing to perform corresponding adjustment actions according to the signal, so that it unfolds and applies appropriate pressure.

[0054] 5. During the adjustment process, the pressure sensor and position sensor feed back the position and pressure information of the side wings to the control unit in real time. The control unit finds that the actual applied pressure is 48N, which deviates from the preset 50N. Therefore, it adjusts the control signal in time and fine-tunes the thrust of the electric push rod so that the pressure applied by the side wings to the passenger reaches 50N, ensuring that the side wings are in the best support state.

[0055] Specifically, the method of the present application can also be deeply integrated with an automatic driving system, linked with health monitoring and adjustment, and involved in personalized ride experience customization. For example, when the vehicle is taken over by an automatic driving system and the driver's hands are off the steering wheel, the body's demand for lateral support will change. The system can automatically enhance the active side wing support intensity according to the adaptive control method described above to provide more stable posture maintenance for the passenger in a relaxed state, especially when the vehicle automatically changes lanes or turns. Alternatively, by integrating non-contact technologies such as millimeter wave radar, infrared sensors, or flexible biosensors inside the seat, the driver's heart rate, respiratory rate, and even heart rate variability (HRV) and other key vital signs are continuously monitored. When the driver is judged to be in a fatigued state through data such as abnormal heart rate and frequent sitting posture deviation, not only can an audible and visual warning be issued, but also the adaptive control method of the active side wings of the car seat can be linked to adjust the pressure of the active side wings. Alternatively, different users can be identified through face recognition, mobile phone NFC, or unique body weight pressure distribution characteristics. Once identification is successful, the seat position, side wing support preferences, and other settings can be automatically adjusted to the user's preset state.

[0056] Referring to Figure 2 , the framework diagram of the adaptive control system 200 of the active side wings of the car seat of the present application includes:

[0057] The acquisition module 210 is configured to acquire multi-source perception information, including vehicle driving state information, driver steering intention, passenger individual characteristics, and passenger real-time posture.

[0058] The calculation module 220 is configured to comprehensively analyze and calculate the multi-source perception information based on a control decision hybrid model to obtain adjustment parameters of the seat active side wings.

[0059] The adjustment module 230 is configured to control the active side wings to perform a support action corresponding to the adjustment parameters based on the adjustment parameters.

[0060] The feedback and correction module 240 is configured to, during the support action adjustment process of the active side wings, real-time feedback the support state of the active side wings, and complete deviation correction in combination with a closed-loop dynamic fine-tuning mechanism.

[0061] Further, the feedback and correction module 240 includes a dynamic fine-tuning module configured to compare the feedback support state with a preset target state in a deviation closed-loop control model, and if there is a deviation, dynamically fine-tune the adjustment parameters in combination with a support force calculation model to correct the deviation.

[0062] It should be noted that the adaptive control system of the active side wing of the automobile seat provided in the above embodiment and the adaptive control method of the active side wing of the automobile seat provided in the above embodiment belong to the same concept, and the specific manner in which each module and unit performs operations has been described in detail in the method embodiments, which will not be described here. The adaptive control system of the active side wing of the automobile seat provided in the above embodiment can be applied in actual application, and the above functions can be completed by different functional modules according to needs, that is, the internal structure of the system is divided into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0063] Embodiments of the present application also provide a computer device, comprising: one or more processors; a storage device for storing one or more programs, which, when executed by the one or more processors, cause the computer device to implement the adaptive control method of the active side wing of the automobile seat provided in each of the above embodiments.

[0064] Figure 3 The structural schematic diagram of a computer system of a computer device suitable for the embodiments of the present application is shown. It should be noted that, Figure 3 The computer system 300 of the electronic device shown is only an example, and should not impose any limitation on the functions and use range of the embodiments of the present application.

[0065] As Figure 3 shown, the computer system 300 includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 302 or programs loaded from a storage portion 308 into a random access memory (RAM) 303, such as performing the methods described in the above embodiments. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304. The following components are connected to the I / O interface 305: an input portion 306 including a keyboard, a mouse, and the like; an output portion 307 including a display such as a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker, and the like; a storage portion 308 including a hard disk, and the like; and a communication portion 309 including a network interface card such as a LAN (local area network) card, a modem, and the like. The communication portion 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like is mounted on the drive 310 as needed, so that a computer program read therefrom is installed in the storage portion 308 as needed.

[0066] In particular, according to embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as a computer tool program. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing a computer program for executing the method shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication section 309, and / or installed from the detachable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the system of the present application are executed.

[0067] It should be noted that the computer readable medium shown in the embodiments of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, be an electronic, magnetic, optical, electromagnetic, infrared or semiconductor system, device or apparatus, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, a flash memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer readable signal medium can include a data signal propagating in the baseband or as a carrier wave in a propagated data signal, in which the computer readable computer program is carried. Such a propagated data signal can take on many forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium can also be any computer readable medium other than the computer readable storage medium, which can send, propagate or transmit the program for use by or in connection with an instruction execution system, apparatus or device. The computer program contained on the computer readable medium can be transmitted by any suitable medium, including but not limited to wireless, wired, or the like, or any suitable combination of the above.

[0068] The flowcharts and block diagrams in the drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowcharts or block diagrams can represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowcharts, and combinations thereof, can be implemented by special purpose hardware-based systems that perform the specified functions or operations, or combinations of special purpose hardware and computer instructions.

[0069] The units described in the embodiments of the present application can be implemented by means of software, or by means of hardware, or by a combination of software and hardware. The units described may

[0070] Another aspect of the present application provides a computer readable storage medium, having stored thereon a computer program, which, when executed by a processor of a computer, causes the computer to perform the adaptive control method of the active side wing of an automobile seat as described above. The computer readable storage medium can be included in the computer device described in the above embodiments, or can exist separately and not be assembled into the computer device.

[0071] Another aspect of the present application provides a computer program product or computer program, which comprises computer instructions stored in a computer readable storage medium. A processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the computer device performs the adaptive control method of the active side wing of an automobile seat provided in the above embodiments.

[0072] The above embodiments are only illustrative of the principles and effects of the present application, and are not intended to limit the present application. Any person skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical ideas of the present application should be covered by the claims of the present application.

Claims

1. An adaptive control method for active side wings of an automotive seat, characterized in that, Includes the following steps: Step S100: Acquire multi-source perception information, including vehicle driving status information, driver steering intention, occupant individual characteristics, and occupant real-time posture; Step S200: Based on the control decision hybrid model, the multi-source sensing information is comprehensively analyzed and calculated to obtain the adjustment parameters of the active side wings of the seat; Step S300: Based on the adjustment parameters, control the active wing to perform a support action corresponding to the adjustment parameters; In step S400, during the adjustment of the support action of the active wing, the support status of the active wing is fed back in real time, and the deviation is corrected by combining the closed-loop dynamic fine-tuning mechanism.

2. The adaptive control method according to claim 1, characterized in that, In step S100, the vehicle driving status information includes the vehicle's acceleration, steering angle, speed, and driving direction. The driver's steering intention is determined by analyzing the collected steering wheel rotation angle and speed. The individual characteristics of the occupants include the occupant's body shape, sitting posture, and body position on the seat, which are determined based on the pressure distribution information on the seat. The occupant's real-time posture includes the body's lateral tilt angle and forward / backward tilt angle.

3. The adaptive control method according to claim 1, characterized in that, In step S200, the control decision hybrid model includes a fast control model based on vehicle driving rules, a support force calculation model based on the vehicle driving state information and the individual characteristics of the occupants, an adaptive seat state adjustment model based on the multi-source perception information, a deviation closed-loop control model, and a signal conversion drive model.

4. The adaptive control method according to claim 3, characterized in that, In step S200, the adjustment parameters include the deployment angle, extension length, and required pressure of the active wing.

5. The adaptive control method according to claim 4, characterized in that, In step S400, the closed-loop dynamic fine-tuning mechanism includes: comparing the feedback support state with the preset target state in the deviation closed-loop control model; if there is a deviation, dynamically fine-tuning the adjustment parameters in conjunction with the support force calculation model to correct the deviation.

6. The adaptive control method according to claim 5, characterized in that, The support status includes the position information of the active wing and the pressure information applied by the occupants to the active wing.

7. An adaptive control system for active side wings of an automotive seat, characterized in that, include: The acquisition module is used to acquire multi-source perception information, including vehicle driving status information, driver steering intention, occupant individual characteristics, and occupant real-time posture; The calculation module is used to perform comprehensive analysis and calculation on the multi-source sensing information based on the control decision hybrid model to obtain the adjustment parameters of the active side wings of the seat; The adjustment module is used to control the active wing to perform a support action corresponding to the adjustment parameters based on the adjustment parameters; The feedback and correction module is used to provide real-time feedback on the support status of the active wing during the adjustment of the support action of the active wing, and to complete the deviation correction in combination with the closed-loop dynamic fine-tuning mechanism.

8. The adaptive control system according to claim 7, characterized in that, The feedback and correction module includes a dynamic fine-tuning module, which compares the feedback support state with the preset target state in the deviation closed-loop control model. If a deviation exists, the adjustment parameters are dynamically fine-tuned in conjunction with the support force calculation model to correct the deviation.

9. A computer-readable storage medium, characterized in that, It stores computer-readable instructions, which, when executed by the computer's processor, cause the computer to perform the adaptive control method of the active side wing of the automobile seat as described in any one of claims 1 to 6.

10. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements the steps of the adaptive control method for the active side wings of an automobile seat as described in any one of claims 1 to 6.

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