Intelligent opening system and method for front hood of vehicle and vehicle

Abstract

The invention provides an intelligent opening system and method for a front hood of a vehicle and the vehicle, and belongs to the technical field of intelligent control over the vehicle, and the system comprises a hood opening and closing execution module which comprises a hood primary lock, a hood secondary lock and an electric gas spring; the sensing module collects a human body action signal outside the vehicle; the machine cover lock state acquisition module acquires the opening and closing states of a machine cover; in the machine cover closing state, after the vehicle body controller recognizes a preset machine cover opening signal from the collected human body action signals outside the vehicle, the machine cover first-level lock, the machine cover second-level lock and the electric gas spring are controlled to be opened in sequence; and in the machine cover opening state, after the vehicle body controller recognizes a preset machine cover closing signal from the collected human body action signals outside the vehicle, the electric gas spring, the machine cover secondary lock and the machine cover primary lock are controlled to be closed in sequence. According to the invention, opening and closing of the machine cover lock and the electric gas spring are automatically controlled according to the human body action signal when the machine cover is in the closed and open states.

Description

Technical Field

[0001] This application belongs to the technical field of vehicle intelligent control, and particularly relates to a vehicle front hood intelligent opening system, method, and vehicle. Background Art

[0002] With the development of vehicle intelligent technology, the functions of the front engine compartment of automobiles have become increasingly rich, and the usage frequency of the front hood by users has increased significantly. Currently, relevant regulations require that the hood lock of an automobile must have a two-stage lock structure to ensure the reliability of the hood lock closure, thereby ensuring the safety of the driver and passengers. However, there are many drawbacks in the existing ways of opening and closing the front hood.

[0003] First of all, the traditional front hood usually needs to be unlocked manually by operating a switch inside the vehicle, and then the hood is manually opened outside the vehicle. When closing, it is also necessary to first manually close the hood and then return to the vehicle to lock it. This operation method is cumbersome and time-consuming. Secondly, the in-vehicle hood lock activation switches, such as single-pull, double-pull latches, or electric control switches, usually occupy the space of the instrument panel and nearby components, affecting the in-vehicle layout and aesthetics. Thirdly, most of the existing hood lock systems adopt mechanical or simple electric control methods and cannot achieve automatic control, unable to meet the requirements of modern intelligent development. Finally, since manually closing the hood requires overcoming two locks and it is necessary to press the hood hard to ensure complete locking, there is also a situation where the hood is not closed in place easily, affecting the sealing and safety of the vehicle.

[0004] In summary, the existing vehicle front hood control methods cannot meet the user's requirements for convenient and intelligent operation of the vehicle front hood. Therefore, there is an urgent need for an efficient and intelligent front hood intelligent control method. Summary of the Invention

[0005] In a first aspect, an embodiment of this application provides a vehicle front hood intelligent opening system, including a body controller, which is connected to a sensing module, a hood opening and closing execution module, and a hood lock state acquisition module; The hood opening and closing execution module includes a primary hood lock, a secondary hood lock, and an electric gas spring; The sensing module is used to collect the external human body movement signals of the vehicle and provide them to the body controller; The hood lock state acquisition module is used to collect the opening and closing states of the hood; When the hood is in the closed state, after the body controller recognizes a preset hood opening signal from the collected external human body movement signals of the vehicle, it controls the primary hood lock, the secondary hood lock, and the electric gas spring to be opened in sequence; When the hood is in the open state, after the body controller recognizes a preset hood closing signal from the collected external human body movement signals of the vehicle, it controls the electric gas spring, the secondary hood lock, and the primary hood lock to be closed in sequence.

[0006] Further, the sensing module includes a front camera and two radars; The front camera and the two radars are both arranged at the front end of the vehicle, and the two radars are respectively arranged on both sides of the front end of the vehicle; Both the first-stage hood lock and the second-stage hood lock adopt electric lock catches; Relays are connected to the first-stage hood lock, the second-stage hood lock, and the electric gas spring; The body controller controls the opening and closing of the first-stage hood lock, the second-stage hood lock, and the electric gas spring through the relay; The hood lock state acquisition module includes a first-stage hood lock catch sensor, a second-stage hood lock catch sensor, and an electric gas spring stroke sensor.

[0007] Further, the first-stage hood lock is arranged at the position of the front hood close to the windshield; The second-stage hood lock is arranged at the position of the front hood close to the bumper; The number of electric gas springs is two, and the two electric gas springs are respectively arranged on both sides of the hood; One end of each electric gas spring is connected to the hood, and the other end is connected to the vehicle body, which is used to provide assistance during the opening process of the front hood and provide buffering during the closing process of the front hood.

[0008] In a second aspect, an embodiment of the present application further provides a method for intelligently opening a vehicle front hood, including the following steps: S1. When the hood is in the closed state, the body controller collects the external human body movement signal through the sensing module. When the preset hood opening signal is recognized, the body controller controls the first-stage hood lock, the second-stage hood lock, and the electric gas spring to be opened in sequence; S2. When the hood is in the open state, the body controller collects the external human body movement signal through the sensing module. When the preset hood closing signal is recognized, the body controller controls the electric gas spring, the second-stage hood lock, and the first-stage hood lock to be closed in sequence.

[0009] Further, the specific steps for the body controller to collect the human body movement signal through the sensing module are as follows: The body controller pre-saves the distance threshold between the moving human body and the front camera, the human body shape feature, the initial human body movement feature, and the human body movement motion feature; The radar senses the moving human body, calculates the distance between the moving human body and the front camera, and transmits it to the body controller in real time. When the distance between the moving human body and the front camera is less than the distance threshold, the body controller determines that the first instruction condition is satisfied; The front camera collects the external image at the front end of the vehicle and transmits it to the body controller in real time. The body controller compares the external image with the pre-saved human body shape feature. If the difference degree is less than the threshold, the body controller determines that the second instruction condition is satisfied; The body controller compares the external image with the initially saved human motion characteristics. If the degree of difference is less than the threshold value, the body controller determines that the third instruction condition is met; The body controller compares the external image with the motion characteristics of the pre-saved human motion. If the degree of difference is less than the threshold value, the body controller determines that the fourth instruction condition is met.

[0010] Furthermore, the initial human motion characteristics include the initial opening characteristics of human motion and the initial closing characteristics of human motion; The motion characteristics of the human motion include the opening motion characteristics of the human motion and the closing motion characteristics of the human motion; In step S1, when the first instruction condition, the second instruction condition, the third instruction condition, and the fourth instruction condition are simultaneously met, and the degree of difference between the external image and the initially saved opening characteristics of the human motion is less than the threshold value, and the degree of difference between the external image and the pre-saved opening motion characteristics of the human motion is less than the threshold value, it is determined that the preset hood opening signal is recognized; In step S2, when the first instruction condition, the second instruction condition, the third instruction condition, and the fourth instruction condition are simultaneously met, and the degree of difference between the external image and the initially saved closing characteristics of the human motion is less than the threshold value, and the degree of difference between the external image and the pre-saved closing motion characteristics of the human motion is less than the threshold value, it is determined that the preset hood closing signal is recognized.

[0011] Furthermore, after the preset hood opening signal is recognized in step S1, the body controller starts the hood opening process. First, it controls the opening of the first-stage hood lock through a relay until the first-stage hood lock is fully opened. Then, it controls the opening of the second-stage hood lock until the second-stage hood lock is fully opened. Then, it controls the opening of the electric gas spring until the electric gas spring reaches the top dead center, and it is determined that the front hood is fully opened; After the preset hood closing signal is recognized in step S2, the body controller starts the hood closing process. First, it controls the closing of the electric gas spring until the electric gas spring reaches the bottom dead center. Then, it controls the closing of the second-stage hood lock until the second-stage hood lock is fully closed. Then, it controls the closing of the first-stage hood lock until the first-stage hood lock is fully closed, and it is determined that the front hood is closed.

[0012] Furthermore, the body controller detects whether the first-stage hood lock is fully opened or fully closed through the first-stage hood lock buckle sensor; The body controller detects whether the second-stage hood lock is fully opened or fully closed through the second-stage hood lock buckle sensor; The body controller detects whether the electric gas spring reaches the top dead center or the bottom dead center through the electric gas spring stroke sensor.

[0013] Further, during the execution of the hood opening process in step S1, if the body controller recognizes a preset hood closing signal, it aborts the hood opening process and performs a reverse closing operation on the hood opening and closing execution module components that have been opened; During the execution of the hood closing process in step S2, if the body controller recognizes a preset hood opening signal, it aborts the hood closing process and performs a reverse opening operation on the hood opening and closing execution module components that have been closed.

[0014] Further, the body controller stores a first detection model, a second detection model, and a third detection model; The body controller compares the external image with the pre-stored human body shape features through the first detection model, compares the external image with the initial human body movement features through the second detection model, and compares the external image with the human body movement characteristics through the third detection model.

[0015] In a third aspect, this embodiment also provides a vehicle that applies the vehicle front hood intelligent opening system described in the first aspect.

[0016] From the above technical solutions, it can be seen that this application has the following advantages: The vehicle front hood intelligent opening system, method, and vehicle provided in this example achieve automatic control of the front hood through the sensing module and the body controller, eliminating the need for manual operation, improving the convenience and intelligence of the operation; by adopting a two-stage lock structure and an electric gas spring, the stability of the hood during driving is ensured, and at the same time, potential safety hazards caused by improper manual closing are avoided; through the collaborative work of multiple models, user gestures are quickly and accurately recognized, improving the system response speed and execution efficiency; it also reduces the operation steps of the user inside and outside the vehicle, enhancing the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of this application, the drawings required for description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of this application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a schematic diagram of the vehicle front hood intelligent opening system of the present invention.

[0019] Figure 2 It is a schematic diagram of the vehicle front hood intelligent opening method flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] In the following, various embodiments of the present disclosure will be more fully described in a vehicle front hood intelligent opening system, method, and vehicle. The present disclosure can have various embodiments, and adjustments and changes can be made therein. However, it should be understood that there is no intention to limit the various embodiments of the present disclosure to the specific embodiments disclosed herein, but rather the present disclosure should be understood to cover all adjustments, equivalents, and / or alternative solutions that fall within the spirit and scope of the various embodiments of the present disclosure.

[0021] Exemplarily, with the continuous progress of automotive intelligent technologies, the functions of the front engine compartment are becoming more and more diverse, and the user's frequency of using the front hood has also increased accordingly. However, there are many inconveniences in the existing ways of opening and closing the front hood.

[0022] On the one hand, the opening and closing of the traditional front hood require the user to manually operate the switch to unlock in the vehicle and then manually open or close the hood outside the vehicle. This operation method is not only cumbersome but also time-consuming. On the other hand, the in-vehicle hood lock activation switch usually occupies the space of the instrument panel and nearby components, affecting the in-vehicle layout and aesthetics. In addition, most of the existing hood lock systems adopt mechanical or simple electronic control methods, with a low degree of intelligence and unable to meet the needs of the intelligent development of modern vehicles. Moreover, since manually closing the hood requires overcoming two locks, the user needs to press hard on the hood to ensure its complete closure, which is not only inconvenient to operate but also prone to the situation that the hood is not closed in place, thus affecting the sealing and safety of the vehicle.

[0023] Therefore, the existing vehicle front hood control methods can no longer meet the user's needs for convenient and intelligent operation, and there is an urgent need for an efficient and intelligent front hood control solution.

[0024] To address the above problems, this embodiment provides a vehicle front hood intelligent opening system. Through the collaborative work of the sensing module, the hood opening and closing execution module, and the hood lock state acquisition module with the body controller, it realizes the automatic control of the opening and closing of the hood lock and the electric gas spring according to the human body motion signal when the hood is in the closed and open states, providing a convenient operation experience for the user.

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0026] Please refer to Figure 1The following is a schematic diagram of an intelligent opening system for the vehicle front hood in a specific embodiment. The system includes a body controller, which is connected to a sensing module, a hood opening / closing execution module, and a hood lock status acquisition module; The hood opening / closing execution module includes a primary hood lock, a secondary hood lock, and an electric gas spring; The sensing module is used to collect external human body movement signals of the vehicle and provide them to the body controller; The hood lock status acquisition module is used to collect the opening and closing status of the hood; In the hood closed state, after the body controller recognizes a preset hood opening signal from the collected external human body movement signals of the vehicle, it controls the primary hood lock, the secondary hood lock, and the electric gas spring to open in sequence; In the hood open state, after the body controller recognizes a preset hood closing signal from the collected external human body movement signals of the vehicle, it controls the electric gas spring, the secondary hood lock, and the primary hood lock to close in sequence.

[0027] In this embodiment, through the collaborative work of the sensing module, the body controller, the hood opening / closing execution module, and the hood lock status acquisition module, the automatic opening and closing of the front hood are realized.

[0028] Further, as a refinement and extension of the specific implementation manner of the above embodiment, in order to fully illustrate the specific implementation process in this embodiment, another intelligent opening system for the vehicle front hood is provided. The system includes a body controller, which is connected to a sensing module, a hood opening / closing execution module, and a hood lock status acquisition module; The hood opening / closing execution module includes a primary hood lock, a secondary hood lock, and an electric gas spring; The sensing module is used to collect external human body movement signals of the vehicle and provide them to the body controller; The hood lock status acquisition module is used to collect the opening and closing status of the hood; In the hood closed state, after the body controller recognizes a preset hood opening signal from the collected external human body movement signals of the vehicle, it controls the primary hood lock, the secondary hood lock, and the electric gas spring to open in sequence; In the hood open state, after the body controller recognizes a preset hood closing signal from the collected external human body movement signals of the vehicle, it controls the electric gas spring, the secondary hood lock, and the primary hood lock to close in sequence; The sensing module includes a front camera and two radars; The front camera and the two radars are both arranged at the front end of the vehicle, and the two radars are respectively arranged on both sides of the front end of the vehicle; It should be noted that the front camera communicates with the body controller through the CAN bus; Both the primary hood lock and the secondary hood lock adopt electric control latches; Relays are connected to the primary hood lock, the secondary hood lock, and the electric gas spring; The body controller controls the opening and closing of the primary hood lock, the secondary hood lock, and the electric gas spring through the relays; The hood lock status acquisition module includes a primary hood lock latch sensor, a secondary hood lock latch sensor, and an electric gas spring stroke sensor; It should be noted that the electric gas spring stroke sensor adopts a Hall sensor, and the number is two. The electric gas spring stroke sensors are respectively arranged at the upper dead point and the lower dead point of the electric gas spring; The primary hood lock latch sensor, the secondary hood lock latch sensor, and the electric gas spring stroke sensor communicate with the body controller through the CAN bus; The primary hood lock is arranged at the position of the front hood close to the windshield; The secondary hood lock is arranged at the position of the front hood close to the bumper; The number of electric gas springs is two, and the two electric gas springs are respectively arranged on both sides of the hood; One end of each electric gas spring is connected to the hood, and the other end is connected to the body, which is used to provide assistance during the opening process of the front hood and provide buffering during the closing process of the front hood.

[0029] As shown in Figure 2, the following is an embodiment of the vehicle front hood intelligent opening method provided by the present disclosure. This method and the vehicle front hood intelligent opening system of the above embodiments belong to the same inventive concept. For the details not described in detail in the embodiment of the vehicle front hood intelligent opening method, reference can be made to the embodiment of the vehicle front hood intelligent opening system.

[0030] The method includes the following steps: S1. In the hood closed state, the body controller collects the external human body movement signals of the vehicle through the sensing module. When the preset hood opening signal is recognized, it controls the primary hood lock, the secondary hood lock, and the electric gas spring to open in sequence; It should be noted that by collecting the external human body movement signals of the vehicle through the sensing module, the system can perceive the user's operation intention in real time, provide data for the subsequent hood opening operation, and realize operation intelligence; the opening operation is only executed when the preset hood opening signal is recognized, which improves the safety and accuracy of the system and avoids the occurrence of mis-opening; opening in sequence according to the primary hood lock, the secondary hood lock, and the electric gas spring ensures the standardization of the hood opening process and prevents hood damage or safety accidents caused by incorrect opening sequence; S2. When the hood is in the open state, the body controller collects the human body movement signals outside the vehicle through the induction module. When the preset hood closing signal is recognized, it controls the electric gas spring, the secondary hood lock, and the primary hood lock to close in sequence; It should be noted that the real-time collection of human body movement signals and the timely acquisition of the user's intention to close the hood ensure the timeliness of the operation; by accurately recognizing the preset hood closing signal, the accuracy and reliability of the closing operation are improved, and misclosing is avoided; by first controlling the electric gas spring to close and then closing the secondary hood lock and the primary hood lock in sequence, the smoothness and safety of the hood closing process are ensured, and it is ensured that the hood is completely closed and firmly locked.

[0031] Furthermore, as a refinement and extension of the specific implementation manner of the above embodiment, in order to fully illustrate the specific implementation process in this embodiment, another intelligent opening method for the vehicle front hood is provided. This method includes the following steps: S1. When the hood is in the closed state, the body controller collects the human body movement signals outside the vehicle through the induction module. When the preset hood opening signal is recognized, it controls the primary hood lock, the secondary hood lock, and the electric gas spring to open in sequence; S2. When the hood is in the open state, the body controller collects the human body movement signals outside the vehicle through the induction module. When the preset hood closing signal is recognized, it controls the electric gas spring, the secondary hood lock, and the primary hood lock to close in sequence; The specific steps for the body controller to collect the human body movement signals through the induction module are as follows: The body controller pre-saves the distance threshold between the moving human body and the front camera, the human body shape characteristics, the initial human body movement characteristics, and the human body movement characteristics; The radar senses the moving human body, calculates the distance between the moving human body and the front camera, and transmits it to the body controller in real time. When the distance between the moving human body and the front camera is less than the distance threshold, the body controller determines that the first instruction condition is met; Specifically, after the radar senses the moving target within the target distance, it provides the distance and moving speed of the moving target from the front camera to the body controller; The body controller compares the moving speed of the moving target with the preset human body moving speed range; If it is within the human body moving speed range, it determines that the moving target is a moving human body and controls to wake up the front camera; If it is within the human body moving speed range, it determines that the moving target is not a moving human body and does not wake up the front camera; It should be noted that only when the moving human body approaches the front camera is the front camera activated to work, thereby reducing the power consumption of the front camera working continuously; The front camera captures the external image of the front end of the vehicle and transmits it to the body controller in real time. The body controller compares the external image with the pre - saved human body shape features. If the difference degree is less than the threshold, the body controller determines that the second instruction condition is met; It should be noted that the human body shape features can be set as general human body shape features or specific human body shape features according to the vehicle user, so as to judge the signals for opening and closing the front hood by collecting the human body shape features of the authorized user by the front camera; The body controller compares the external image with the pre - saved initial human body movement features. If the difference degree is less than the threshold, the body controller determines that the third instruction condition is met; The body controller compares the external image with the pre - saved human body movement features during movement. If the difference degree is less than the threshold, the body controller determines that the fourth instruction condition is met; The initial human body movement features include the initial opening feature of the human body movement and the initial closing feature of the human body movement; The human body movement features during movement include the opening movement feature of the human body movement and the closing movement feature of the human body movement; It should be noted that the initial human body movement features are static images, while the human body movement features during movement are dynamic images; Exemplarily, the initial opening feature of the human body movement is set as the gesture of the human palm facing up and lasts for 3 s. The opening movement feature of the human body movement is set as the reciprocating swing from bottom to top starting from the gesture of the human palm facing up (similar to the "lifting" action); The initial closing feature of the human body movement is set as the gesture of the human palm facing the vehicle and lasts for 3 s. The closing movement feature of the human body movement is set as the reciprocating swing from top to bottom starting from the gesture of the human palm facing the vehicle (similar to the "pressing" action). Specifically, the movement trajectory is detected from the external image to identify the human body movement features during movement; In step S1, when the first instruction condition, the second instruction condition, the third instruction condition, and the fourth instruction condition are simultaneously met, and the difference degree between the external image and the pre - saved initial opening feature of the human body movement is less than the threshold, and the difference degree between the external image and the pre - saved opening movement feature of the human body movement is less than the threshold, it is determined that the preset hood opening signal is recognized; In step S2, when the first instruction condition, the second instruction condition, the third instruction condition, and the fourth instruction condition are simultaneously met, and the difference degree between the external image and the pre - saved initial closing feature of the human body movement is less than the threshold, and the difference degree between the external image and the pre - saved closing movement feature of the human body movement is less than the threshold, it is determined that the preset hood closing signal is recognized; After identifying the preset hood opening signal in step S1, the body controller starts the hood opening process. First, it controls the opening of the first-stage hood lock through a relay until the first-stage hood lock is fully opened. Then, it controls the opening of the second-stage hood lock until the second-stage hood lock is fully opened. After that, it controls the opening of the electric gas spring until the electric gas spring reaches the top dead center, and it is determined that the front hood is fully opened; After identifying the preset hood closing signal in step S2, the body controller starts the hood closing process. First, it controls the closing of the electric gas spring until the electric gas spring reaches the bottom dead center. Then, it controls the closing of the second-stage hood lock until the second-stage hood lock is fully closed. After that, it controls the closing of the first-stage hood lock until the first-stage hood lock is fully closed, and it is determined that the front hood is closed; The body controller detects whether the first-stage hood lock is fully opened or fully closed through the first-stage hood lock catch sensor; The body controller detects whether the second-stage hood lock is fully opened or fully closed through the second-stage hood lock catch sensor; The body controller detects whether the electric gas spring reaches the top dead center or the bottom dead center through the electric gas spring stroke sensor; It should be noted that the states of the first-stage hood lock, the second-stage hood lock, the top dead center of the electric gas spring, and the bottom dead center of the electric gas spring are respectively fed back through the first-stage hood lock catch sensor, the second-stage hood lock catch sensor, and the electric gas spring stroke sensor. The opening signal is 1, and the closing signal is 0; When the first-stage hood lock signal is 0, that is, when the signal feedback code is (0, 0, 0, 0), it is marked that the hood is in the fully closed state; when only the first-stage hood lock signal is 1, the signal feedback code is (1, 0, 0, 0), and it is marked that the first-stage hood is opened; when the second-stage hood lock signal is 1, the signal feedback code is (1, 1, 0, 0), and it is marked that the second-stage hood is opened; when the bottom dead center signal of the electric gas spring is 1, the signal feedback code is (1, 1, 1, 0), and it is marked that the electric gas spring of the hood is in the operating state; at this time, when the top dead center signal of the electric gas spring is 1, the signal feedback code is (1, 1, 1, 1), and it is marked that the hood is fully opened, with a total of five states; Specifically, when the hood primary lock signal is 0, the body control module determines that the hood is in the closed state. At this time, the front hood only has the opening function. After recognizing the preset hood opening signal, the body control module starts the hood opening process. The body control module sends a primary opening signal to the relay of the hood primary lock. The corresponding relay sends a positive current to the primary lock of the hood lock to control the primary positive opening of the hood lock. After the primary lock of the hood is opened, the hood primary lock latch sensor sends signal 1 to the body control module. The body control module recognizes that the hood is in the primary open state. The body control module sends a secondary opening signal to the relay of the hood secondary lock. The corresponding relay sends a positive current to the secondary lock of the hood lock to control the secondary positive opening of the hood lock. After the secondary lock of the hood is opened, the hood secondary lock latch sensor sends signal 1 to the body control module. The body control module recognizes that the hood is in the secondary open state. The body control module sends an electric gas spring opening signal to the relay of the electric gas spring. The corresponding relay sends a positive current to the electric gas spring to control the positive opening of the gas spring. At this time, the Hall sensor at the lower dead point of the electric gas spring sends a lower dead point signal 1 to the body control module. The body control module recognizes the operating state of the electric gas spring of the hood. The body control module sends a continuous opening signal of the electric gas spring to the relay of the electric gas spring. The corresponding relay continuously sends a positive current to the electric gas spring until the electric gas spring reaches the upper dead point. At this time, the Hall sensor at the upper dead point of the electric gas spring sends an upper dead point signal 1 to the body control module. The body control module recognizes that the hood is in the fully open state. The body control module sends a power-off signal to the relay; When the top dead center signal of the electric gas spring is 1, the body control module (BCM) determines that the hood is in the open state. At this time, the front hood only has the closing function. After identifying the preset hood closing signal, the BCM starts the hood closing process, sends an electric gas spring closing signal to the relay of the electric gas spring, and the corresponding relay sends a reverse current to the electric gas spring to control its reverse closing. At this time, the Hall sensor at the top dead center of the electric gas spring sends a top dead center signal 0 to the BCM, and the BCM identifies the operating state of the electric gas spring of the hood. The BCM sends a continuous closing signal of the electric gas spring to the relay of the electric gas spring, and the corresponding relay continuously sends a reverse current to the electric gas spring until the electric gas spring reaches the bottom dead center. At this time, the Hall sensor at the bottom dead center of the electric gas spring sends a bottom dead center signal 0 to the BCM, and the BCM identifies that the front hood is in the secondary open state. The BCM sends a secondary closing signal to the relay of the secondary lock of the hood, and the corresponding relay sends a reverse current to the secondary lock of the hood lock to control its reverse closing. After the secondary lock of the hood is locked, the lock catch sensor of the secondary lock of the hood sends a signal 0 to the BCM, and the BCM identifies that the hood is in the primary open state. The BCM sends a primary closing signal to the relay of the primary lock of the hood, and the corresponding relay sends a reverse current to the primary lock of the hood lock to control its reverse closing. After the primary lock of the hood is locked, the lock catch sensor of the primary lock of the hood sends a signal 0 to the BCM, and the BCM identifies that the hood is in the closed state. The BCM sends a power-off signal to the relay of the primary lock of the hood; In step S1, during the execution of the hood opening process by the BCM, if the preset hood closing signal is identified, the hood opening process is aborted, and a reverse closing operation is performed on the opened hood opening and closing execution module components; Specifically, when the BCM receives and identifies the opening signal, the opening process is implemented. During the opening process, it has the function of closing at any time. The BCM sends corresponding commands to the corresponding components of the hood opening and closing execution module according to the hood position and the corresponding hood state; When the upper dead point signal of the electric gas spring is 0, the lower dead point signal of the electric gas spring is 1, and the signal feedback code is (1, 1, 1, 0), it is in the operating state of the gas spring of the engine hood. After identifying the preset engine hood closing signal, the body control module sends a continuous closing signal of the electric gas spring to the relay of the electric gas spring. The relay of the electric gas spring sends a reverse current to the electric gas spring to control the reverse closing of the electric gas spring until the electric gas spring reaches the lower dead point. At this time, the Hall sensor at the lower dead point of the electric gas spring sends a lower dead point signal 0 to the body control module. The body control module identifies it as the secondary opening state of the engine hood and sends a secondary closing signal to the relay of the secondary lock of the engine hood. The corresponding relay sends a reverse current to the secondary lock of the engine hood to control the reverse closing of the secondary lock of the engine hood. After the secondary lock of the engine hood is locked, the latch sensor of the secondary lock of the engine hood sends a signal 0 to the body control module. The body control module identifies it as the primary opening state of the engine hood and sends a primary closing signal to the relay of the primary lock of the engine hood. The corresponding relay sends a reverse current to the primary lock of the engine hood to control the reverse closing of the primary lock of the engine hood. After the primary lock of the engine hood is locked, the latch sensor of the primary lock of the engine hood sends a signal 0 to the body control module. The body control module identifies it as the fully closed state of the engine hood and sends a power-off signal to the relay of the primary lock of the engine hood. When the upper dead point signal of the electric gas spring is 0, the lower dead point signal of the electric gas spring is 0, and the signal of the secondary lock of the engine hood is 1, the signal feedback code is (1, 1, 0, 0), which is the secondary opening state of the engine hood. After identifying the preset engine hood closing signal, the body control module sends a secondary closing signal to the relay of the secondary lock of the engine hood. The corresponding relay sends a reverse current to the secondary lock of the engine hood to control the reverse closing of the secondary lock of the engine hood. After the secondary lock of the engine hood is locked, the latch sensor of the secondary lock of the engine hood sends a signal 0 to the body control module. The body control module identifies it as the primary opening state of the engine hood and sends a primary closing signal to the relay of the primary lock of the engine hood. The corresponding relay sends a reverse current to the primary lock of the engine hood to control the reverse closing of the primary lock of the engine hood. After the primary lock of the engine hood is locked, the latch sensor of the primary lock of the engine hood sends a signal 0 to the body control module. The body control module identifies it as the fully closed state of the engine hood and sends a power-off signal to the relay of the primary lock of the engine hood. When the upper dead point signal of the electric gas spring is 0, the lower dead point signal of the electric gas spring is 0, the signal of the secondary lock of the engine hood is 0, and the signal of the primary lock of the engine hood is 1, the signal feedback code is (1, 0, 0, 0), which is the primary opening state of the engine hood. After identifying the preset engine hood closing signal, the body control module sends a primary closing signal to the relay of the primary lock of the engine hood. The corresponding relay sends a reverse current to the primary lock of the engine hood to control the reverse closing of the primary lock of the engine hood. After the primary lock of the engine hood is locked, the latch sensor of the primary lock of the engine hood sends a signal 0 to the body control module. The body control module identifies it as the fully closed state of the engine hood and sends a power-off signal to the relay of the primary lock of the engine hood. In step S2, during the execution of the hood closing process by the body controller, if a preset hood opening signal is recognized, the hood closing process is aborted, and a reverse opening operation is performed on the components of the hood opening and closing execution module that have been closed. When the body controller receives and recognizes the closing signal, it implements the closing process, during which there is a function to open at any time; the body controller sends corresponding commands to the corresponding parts of the hood opening and closing execution module according to the hood position and the corresponding hood state. Specifically, when the electric gas spring upper dead point signal is 0, the electric gas spring lower dead point signal is 0, the hood lock secondary lock signal is 0, and the hood lock primary lock signal is 1, the signal feedback code is (1, 0, 0, 0), which is the hood primary opening state; after recognizing the preset hood opening signal, the body controller recognizes the hood primary opening state, and the body controller sends a secondary opening signal to the relay of the hood secondary lock, and the corresponding relay sends a positive current to the hood lock secondary lock to control the positive opening of the hood lock secondary; after the hood lock secondary is opened, the hood secondary lock latch sensor sends a signal 1 to the body controller, the body controller recognizes the hood secondary opening state, and the body controller sends an electric gas spring opening signal to the relay of the starting spring, and the corresponding relay sends a positive current to the electric gas spring to control the positive opening of the gas spring; at this time, the Hall sensor at the lower dead point of the electric gas spring sends a lower dead point signal 1 to the body controller, the body controller recognizes the operating state of the electric gas spring of the hood, and the body controller sends a continuous opening signal of the electric gas spring to the relay of the electric gas spring, and the corresponding relay continuously sends a positive current to the electric gas spring until the electric gas spring reaches the upper dead point; at this time, the Hall sensor at the upper dead point of the electric gas spring sends an upper dead point signal 1 to the body controller, the body controller recognizes the fully opened state of the hood, and the body controller sends a power supply stop signal to the relay of the electric gas spring. When the electric gas spring upper dead point signal is 0, the electric gas spring lower dead point signal is 0, and the hood lock secondary lock signal is 1, the signal feedback code is (1, 1, 0, 0), which is the hood secondary opening state; after recognizing the preset hood opening signal, the body controller sends an electric gas spring opening signal to the relay of the electric gas spring, and the relay of the electric gas spring sends a positive current to the electric gas spring to control the positive opening of the gas spring; at this time, the Hall sensor at the lower dead point of the electric gas spring sends a lower dead point signal 1 to the body controller, the body controller recognizes the operating state of the electric gas spring of the hood, and the body controller sends a continuous opening signal of the electric gas spring to the relay of the electric gas spring, and the corresponding relay continuously sends a positive current to the electric gas spring until the electric gas spring reaches the upper dead point; at this time, the Hall sensor at the upper dead point of the electric gas spring sends an upper dead point signal 1 to the body controller, the body controller recognizes the fully opened state of the hood, and the body controller sends a power supply stop signal to the relay of the electric gas spring. When the upper dead point signal of the electric gas spring is 0, the lower dead point signal of the electric gas spring is 1, and the signal feedback code is (1, 1, 1, 0), it is the operating state of the electric gas spring of the engine hood; after identifying the preset engine hood opening signal, the body control module sends a continuous opening signal of the electric gas spring to the relay of the electric gas spring, and the corresponding relay continuously sends a positive current to the electric gas spring until the electric gas spring reaches the upper dead point; at this time, the Hall sensor at the upper dead point of the electric gas spring sends the upper dead point signal 1 to the body control module, and the body control module identifies that the engine hood is fully opened, and the body control module sends a power supply stop signal to the relay of the electric gas spring; The body control module stores a first detection model, a second detection model, and a third detection model; The body control module compares the external image with the pre-stored human body shape features through the first detection model, compares the external image with the initial human body movement features through the second detection model, and compares the external image with the human body movement features through the third detection model; Specifically, the first detection model selects MobileNetV3 as the basic architecture, selects the Sigmoid function as the output layer, and uses the probability value between 0 and 1 to represent the possibility of the human body existing in the image; Collect human body image data, perform size adjustment and normalization processing, and then convert it into the size and data format required for the input of the first detection model to obtain the first data set; Use the first data set to train the first detection model, and use the backpropagation algorithm to calculate the gradient of the following binary cross-entropy loss function for the model parameters during the training process, and use the Adam algorithm to update the model parameters until the loss of the model converges on the first data set;

[0032] where N is the number of samples, is the true label, 0 represents non-human body, 1 represents human body, represents the probability of the human body existing predicted by the model; When the accuracy rate of the verification model is greater than the threshold, stop training to obtain the final first detection model; After meeting the first instruction condition, the body control module inputs the external image collected by the front camera into the first detection model for feature extraction and analysis, and outputs the probability of the human body existing through the Sigmod output layer of the first detection model; if p body ≥0.95, it is determined that there is a human body in the image, and then the extracted human body shape features are compared with the pre-stored human body shape features. If the similarity exceeds the threshold, it is determined that the second instruction condition is met. If the similarity is lower than the threshold, discard the image and wait for the next trigger when the first instruction condition is met; if pbody If it is < 0.95, discard the image and wait for the next trigger when the first instruction condition is met; Specifically, the second detection model selects the EfficientNet-Lite model as the basic model and the softmax classification function as the output layer, and takes the probability distribution of each category of gestures as the output of the model; Collect custom gesture images as the second dataset. The second dataset needs to have image data of raising hands as the opening gesture, image data of pressing down as the closing gesture, and image data of other invalid gestures. After normalizing the collected image data, convert it to the size and data format required for the input of the second detection model; Use the second dataset to train the second detection model, and calculate the gradient of the following multi-class cross-loss function for the model parameters through the backpropagation algorithm during the training process. Use the SGD algorithm to update the model parameters until the loss of the model converges on the second dataset;

[0033] Among them, c represents the gesture category, such as opening, closing, or invalid, y c is the one-hot encoded true label, p c is the probability that the model predicts belongs to the c category of gestures; When the recognition accuracy of the model for the gesture category reaches the set threshold, stop training to obtain the final second detection model; When the second instruction condition is met, the body controller inputs the external image collected by the front camera into the second detection model for feature extraction and analysis, and outputs the probability distribution of each gesture category through the Softmax classification layer of the second detection model, so as to determine the gesture category c. If the gesture category c is the opening gesture or the closing gesture, it is determined that the third instruction condition is met. If the gesture category is an invalid gesture, discard the image and wait for the next trigger of the second instruction condition; Specifically, the third detection model selects a model architecture that combines 3D CNN and LSTM. The 3D CNN layer extracts the spatio-temporal features in the video sequence of the external image, and performs convolution operations on the data in the spatial and temporal dimensions through a 3×3×3 convolution kernel to capture the dynamic changes of the gesture in consecutive frames. The LSTM layer processes the long-term dependencies in the time series data, captures the motion trajectory information of the gesture, judges the motion direction and matching degree of the gesture, and the two layers are combined to track and identify the motion features of the gesture; Collect a set number of consecutive frame video sequences, extract 5 frames of images from each consecutive frame video sequence, and label the trajectory directions of gesture movements for each consecutive frame video sequence to obtain a third data set; perform unified sizing and normalization processing on the third data set and convert it into a format that meets the requirements of the third detection model; Use the third data set to train the third detection model, and during the training process, calculate the gradient of the following mean square error loss function with respect to the model parameters through the backpropagation algorithm, and use the Adam algorithm to update the model parameters to optimize the model's prediction ability for motion trajectories;

[0034] wherein T is the number of time steps, is the predicted trajectory vector, is the true trajectory vector; Verify that the loss rate of the model is lower than the threshold to obtain the final third detection model; After the third instruction condition is met, the body controller inputs an image stream sequence composed of the subsequent 5 frames of images in the external image collected by the front camera into the third detection model; the third detection model first extracts spatio-temporal features using 3D CNN layers and performs temporal analysis on these spatio-temporal features using LSTM layers to output the matching degree s of the gesture movement trajectory; for example, if the gesture category is open and the matching degree s in the upward direction is greater than or equal to 0.8, or the gesture category is closed and the matching degree s in the downward direction is greater than or equal to 0.8, it is determined that the fourth instruction condition is met, and the body controller controls the opening or closing of the front hood according to the instruction; otherwise, it is determined that the fourth instruction condition is not met.

[0035] The vehicle provided by the present invention will be described below. The vehicle described below can be correspondingly referred to the vehicle front hood intelligent opening system and method described above. An embodiment of the present invention further provides a vehicle, including the vehicle front hood intelligent opening system as described in the above embodiment.

[0036] It should be noted that applying the vehicle front hood intelligent opening system to the vehicle in this embodiment can improve the intelligent level of the vehicle, enhance the user experience, and at the same time improve the safety and reliability of the vehicle.

[0037] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent opening system for the front hood of a vehicle, characterized in that, It includes a body controller, which is connected with an induction module, a hood opening and closing execution module, and a hood lock state acquisition module; The hood opening and closing execution module includes a primary hood lock, a secondary hood lock, and an electric gas spring; The induction module is used to collect the human body movement signals outside the vehicle and provide them to the body controller; The hood lock state acquisition module is used to collect the opening and closing states of the hood; When the hood is in the closed state, after the body controller identifies a preset hood opening signal from the collected human body movement signals outside the vehicle, it controls the primary hood lock, the secondary hood lock, and the electric gas spring to open in sequence; When the hood is in the open state, after the body controller identifies a preset hood closing signal from the collected human body movement signals outside the vehicle, it controls the electric gas spring, the secondary hood lock, and the primary hood lock to close in sequence.

2. The intelligent opening system for the vehicle front hood according to claim 1, wherein The induction module includes a front camera and two radars; The front camera and the two radars are both arranged at the front end of the vehicle, and the two radars are respectively arranged on both sides of the front end of the vehicle; Both the primary hood lock and the secondary hood lock adopt electric control latches; Relays are connected to the primary hood lock, the secondary hood lock, and the electric gas spring; The body controller controls the opening and closing of the primary hood lock, the secondary hood lock, and the electric gas spring through the relays; The hood lock state acquisition module includes a primary hood lock latch sensor, a secondary hood lock latch sensor, and an electric gas spring stroke sensor.

3. An intelligent opening method for the front hood of a vehicle, characterized in that, It includes the following steps: S1. When the hood is in the closed state, the body controller collects the human body movement signals outside the vehicle through the induction module. After identifying a preset hood opening signal, it controls the primary hood lock, the secondary hood lock, and the electric gas spring to open in sequence; S2. When the hood is in the open state, the body controller collects the human body movement signals outside the vehicle through the induction module. After identifying a preset hood closing signal, it controls the electric gas spring, the secondary hood lock, and the primary hood lock to close in sequence.

4. The vehicle front hood intelligent opening method according to claim 3, characterized in that, The specific steps for the body controller to collect the human body movement signals through the induction module are as follows: The body controller pre-saves the distance threshold between the moving human body and the front camera, the human body shape characteristics, the initial human body movement characteristics, and the human body movement characteristics; The radar senses the moving human body, calculates the distance between the moving human body and the front camera, and transmits it to the body controller in real time. When the distance between the moving human body and the front camera is less than the distance threshold, the body controller determines that the first instruction condition is met; The front camera collects the external image at the front end of the vehicle and transmits it to the body controller in real time. The body controller compares the external image with the pre-saved human body shape characteristics. If the difference degree is less than the threshold, the body controller determines that the second instruction condition is met; The body controller compares the external image with the pre-saved initial human body movement characteristics. If the difference degree is less than the threshold, the body controller determines that the third instruction condition is met; The body controller compares the external image with the pre-saved human body movement characteristics. If the difference degree is less than the threshold, the body controller determines that the fourth instruction condition is met.

5. The intelligent opening method of the vehicle front hood according to claim 4, wherein, The initial human body movement characteristics include the initial human body movement opening characteristics and the initial human body movement closing characteristics; The human body movement characteristics include the human body movement opening movement characteristics and the human body movement closing movement characteristics; In step S1, when the first instruction condition, the second instruction condition, the third instruction condition, and the fourth instruction condition are simultaneously satisfied, and the difference degree between the external image and the pre-saved initial feature of the human body movement for opening the hood is less than the threshold value, and the difference degree between the external image and the pre-saved movement feature of the human body movement for opening the hood is less than the threshold value, it is determined that the preset hood opening signal is recognized; In step S2, when the first instruction condition, the second instruction condition, the third instruction condition, and the fourth instruction condition are simultaneously satisfied, and the difference degree between the external image and the pre-saved initial feature of the human body movement for closing the hood is less than the threshold value, and the difference degree between the external image and the pre-saved movement feature of the human body movement for closing the hood is less than the threshold value, it is determined that the preset hood closing signal is recognized.

6. The vehicle front hood intelligent opening method according to claim 3, characterized in that, After the preset hood opening signal is recognized in step S1, the body controller starts the hood opening process. First, it controls the opening of the first-stage hood lock through a relay until the first-stage hood lock is fully opened. Then, it controls the opening of the second-stage hood lock until the second-stage hood lock is fully opened. Then, it controls the opening of the electric gas spring until the electric gas spring reaches the top dead center, and it is determined that the front hood is fully opened; After the preset hood closing signal is recognized in step S2, the body controller starts the hood closing process. First, it controls the closing of the electric gas spring until the electric gas spring reaches the bottom dead center. Then, it controls the closing of the second-stage hood lock until the second-stage hood lock is fully closed. Then, it controls the closing of the first-stage hood lock until the first-stage hood lock is fully closed, and it is determined that the front hood is closed.

7. The vehicle front hood intelligent opening method according to claim 6, characterized in that, The body controller detects whether the first-stage hood lock is fully opened or fully closed through the first-stage hood lock buckle sensor; The body controller detects whether the second-stage hood lock is fully opened or fully closed through the second-stage hood lock buckle sensor; The body controller detects whether the electric gas spring reaches the top dead center or the bottom dead center through the electric gas spring stroke sensor.

8. The intelligent opening method of the vehicle front hood according to claim 6, characterized in that, In step S1, during the execution of the hood opening process by the body controller, if the preset hood closing signal is recognized, the hood opening process is aborted, and a reverse closing operation is performed on the opened hood opening and closing execution module components; In step S2, during the execution of the hood closing process by the body controller, if the preset hood opening signal is recognized, the hood closing process is aborted, and a reverse opening operation is performed on the closed hood opening and closing execution module components.

9. The intelligent opening method of the vehicle front hood according to claim 5, wherein, The body controller stores a first detection model, a second detection model, and a third detection model; The body controller compares the external image with the pre-saved human body shape features through the first detection model, compares the external image with the initial features of the human body movement through the second detection model, and compares the external image with the movement features of the human body movement through the third detection model.

10. A vehicle, characterized in that, Apply the front hood intelligent opening system according to any one of claims 1-2.

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