Air suspension control method and system based on face recognition

Abstract

The air suspension control method and system based on face recognition designed by the present invention collects and records the facial information and weight of the driver and passenger. When the next ride is made, the driver and passenger's waiting position is judged and identified, and the load change of the front and rear wheel centers is evaluated according to the recorded driver and passenger information, and the air pressure of the air spring is adjusted in advance. When the controller and suspension of the vehicle body have a memory function, when a person gets on the vehicle, the air suspension can be automatically inflated, the stiffness is increased, and the load-bearing capacity is increased. After the person gets on the vehicle, the person cannot feel the change of the vehicle body. Increase the sense of comfort and user experience. When the passenger gets off the vehicle, the air spring is deflated, the stiffness is reduced, and the load-bearing capacity is reduced, but the stroke of the spring does not change, and the user cannot feel the up and down changes of the suspension, which increases the sense of experience.

Description

Technical Field

[0001] The present invention relates to the field of automobiles, and in particular to an air suspension control method and system based on face recognition. Background Art

[0002] The vertical displacement signal of the wheel center of a vehicle during driving is an important signal of the vehicle. However, at present, the vertical displacement signal of the wheel center of a vehicle cannot be directly measured by a single sensor. It needs to be measured by a combination of potentiometer sensors and laser sensors, which is costly and the measurement result is not accurate.

[0003] The Chinese patent "Wheel Center Load Estimation Method and System Based on Edge Computing and Soft Measurement", publication number CN113954850A, publication date 2022.01.21, discloses a wheel center load estimation method and system based on edge computing and soft measurement. Through offline training from sensor data collected under multiple road conditions, multiple models from acceleration and displacement sensor data to wheel center load data are obtained; then, through the acceleration, displacement and other sensor data collected online, the current road condition of the vehicle is first determined, and then the acceleration and displacement sensor data are input into the model corresponding to the road condition, so as to obtain the wheel center load during the driving process of the vehicle in real time.

[0004] The Chinese patent "A method and device for obtaining suspension force of an automobile suspension system", publication number CN113656994A, publication date 2021.11.16, discloses a method and device for obtaining suspension force of an automobile suspension system, which uses a strain gauge conversion function to process the suspension strain gauge measurement signal to obtain an initial suspension force measurement signal, and uses the initial suspension force measurement signal, the transmission shaft torque measurement signal and the wheel center load measurement signal to simulate to obtain a first suspension acceleration simulation signal, and uses the transmission shaft torque measurement signal and the wheel center load measurement signal to simulate to obtain a second suspension acceleration simulation signal and an initial suspension force simulation signal, and then, based on the first suspension acceleration simulation signal and the suspension acceleration measurement signal, a suspension acceleration simulation target signal is obtained, and on this basis, the second suspension acceleration simulation signal and the suspension acceleration simulation target signal are processed using a preset PID model to obtain a target suspension force signal.

[0005] Both of the above patents belong to post-adjustment and cannot be achieved in advance, so they are passive adjustments. Summary of the invention

[0006] In view of the problems existing in the background technology, the purpose of the present invention is to provide an air suspension control method and system based on face recognition, which can learn and memorize and complete suspension adjustment before the driver and passengers get on the vehicle.

[0007] To achieve the above-mentioned purpose, the present invention designs an air suspension control method based on face recognition, which is characterized by: collecting and recording the facial information and weight of the driver and passenger, and when the next ride is made, judging and identifying the driver and passenger's waiting position and evaluating the load changes of the front and rear wheel centers based on the recorded driver and passenger information, and adjusting the air pressure of the air spring in advance.

[0008] Preferably, the facial information of the driver and passengers is recorded by a camera installed on each door handle, and the waiting position of the driver and passengers is determined and identified at the same time.

[0009] Further preferably, after the driver or passenger takes a seat, the seat determines the weight of the driver or passenger in the seat.

[0010] Still further preferably, the facial information of the driver and passengers, as well as the weight corresponding to the facial information, are recorded and stored by the vehicle-mounted system.

[0011] Preferably, the compression amount of the air suspension is kept unchanged when the vehicle is unloaded and loaded, and the stiffness of the single air suspension of the front and rear wheels with passengers is calculated based on the identification of the waiting position of the driver and the recorded weight of the driver and passenger at that position, and the stiffness of the air suspension is adjusted to the above-mentioned calculation result in advance.

[0012] Further preferably, the stiffness of the single air suspension of the front and rear wheels carrying passengers is calculated according to the following formula:

[0013]

[0014] Where: k′1 is the stiffness of the single air suspension of the front wheel after carrying people; k′2 is the stiffness of the single air suspension of the rear wheel after carrying people; k1 is the stiffness of the single air suspension of the front wheel when unloaded; Δl1 is the compression of the front wheel air suspension when unloaded; k2 is the stiffness of the single air suspension of the rear wheel when unloaded; Δl2 is the compression of the front wheel air suspension when unloaded; M1 is the load of the front wheel when unloaded; M2 is the load of the rear wheel when unloaded; F′ Q The increase in front wheel load when people are in the back seat; F″ Q F' is the increase in front wheel load when people are in the front row; H The increase in rear wheel load when people are in the rear seat; F″ H It is the increase in rear wheel load when a person is in the front seat. Among them, k1, k2, Δl1, and Δl2 are customized according to the vehicle posture and ground line requirements during vehicle tuning.

[0015] Among them, F′Q, F′ H , F″ Q and F″ H Calculated by the following formula

[0016]

[0017] Where: X1 is the distance from the center of the front wheel to the center of mass of the front row occupant; X2 is the distance from the center of mass of the rear wheel to the center of mass of the front row occupant; X3 is the distance from the center of mass of the front wheel to the center of mass of the rear row occupant; X4 is the distance from the center of mass of the rear wheel to the center of mass of the rear row occupant; MA, MB, MC, MD are the weights of A, B, C, D in the figure respectively.

[0018] More preferably, the front row center of mass is pushed forward 100 mm by the hinge point between the torso and thigh of the front row occupant.

[0019] Further preferably, the center of mass of the rear row is pushed forward 100 mm by the hinge point between the torso and thigh of the person in the rear row.

[0020] The air suspension control system based on face recognition using the above method comprises:

[0021] A face recognition unit, which uses one or more cameras installed around the vehicle body to recognize the facial information of the driver and passenger, recognize and record the door position information through which the driver and passenger enter, and transmit the recorded information to a storage unit;

[0022] The weight judgment unit sends the seat information and weight to the storage unit after the driver and passenger take their seats;

[0023] A storage unit, storing and establishing information data of the face recognition unit and weight data of the weight judgment unit and a corresponding relationship;

[0024] The control unit identifies the door through which the driver and passenger enter based on the face recognition unit, determines the seating position, obtains the weight of the driver and passenger corresponding to each position in the storage unit, calculates the stiffness of the single air suspension of the front and rear wheels carrying the passenger, and adjusts the stiffness of the air suspension to the above-mentioned calculation result in advance.

[0025] The beneficial effect of the present invention is that when the controller and suspension of the vehicle body have a memory function, when a person gets on the vehicle, the air suspension can be automatically inflated, the stiffness is increased, and the carrying capacity is increased. After the person gets on the vehicle, the person cannot feel the change of the vehicle body. The comfort and user experience are increased. When the passenger gets off the vehicle, the air spring is deflated, the stiffness is reduced, and the carrying capacity is reduced, but the travel of the spring does not change. The user also cannot feel the up and down changes of the suspension, which increases the experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is an application example of the present invention. Figure 1 ;

[0027] Figure 2 This is an application example of the present invention. Figure 2 , Point R in the figure is the hinge point between the trunk and the thigh;

[0028] Figure 3It is a structural schematic diagram of the control system of the present invention. DETAILED DESCRIPTION

[0029] The technical solution of the present invention (including the preferred technical solution) is further described in detail below by means of the accompanying drawings and by listing some optional embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] like Figures 1 to 3 As shown, the air suspension control method based on face recognition designed by the present invention collects and records the face information and weight of the driver and passenger. When riding next time, the waiting position of the driver and passenger is judged and identified, and the load change of the front and rear wheel centers is evaluated according to the recorded driver and passenger information, and the air pressure of the air spring is adjusted in advance. The face information of the driver and passenger is recorded by the camera arranged on each door handle, and the waiting position of the driver and passenger is judged and identified at the same time. After the driver and passenger take the seat, the seat judges the weight of the driver and passenger in the seat. The face information of the driver and passenger, as well as the weight corresponding to the face information, is recorded and stored by the vehicle-mounted system. The compression amount of the air suspension is kept unchanged when it is unloaded and loaded. According to the identification of the waiting position of the driver and passenger and the recorded weight of the driver and passenger at this position, the stiffness of the single air suspension of the front and rear wheels carrying passengers is calculated, and the stiffness of the air suspension is adjusted to the above calculation result in advance. The weight of the human body is determined from the previous sitting situations, so as to evaluate the load changes of the front and rear wheel centers, so as to inflate the air spring in advance and increase the stiffness of the air spring. A height sensor is installed on the side of the air spring to monitor whether the air spring changes, so as to increase the load force without reducing the compressed length of the air spring. Assuming the boarding situation is as follows Figure 1 The specific calculation formula is as follows.

[0031]

[0032] Where: M1 is the front wheel load when unloaded; M2 is the rear wheel load when unloaded; M 车 is the vehicle load when unloaded. k1 is the stiffness of the front wheel single air suspension when unloaded; Δl1 is the compression of the front wheel air suspension when unloaded; k2 is the stiffness of the rear wheel single air suspension when unloaded; Δl2 is the compression of the front wheel air suspension when unloaded. k1, k2, Δl1, Δl2 are customized according to the vehicle posture and ground line requirements during vehicle tuning.

[0033] The camera 2 recognizes the facial information of the driver and the door he opens to determine his seat position. For example, when person B opens the cockpit door, it is determined that he will enter the driving position. In this way, the calculation is based on person B's previous facial information and recorded weight. The same is true for persons A, C, and D. In summary, the stiffness of the air suspension 1 can be adjusted in advance through the above operations.

[0034] The load on the front and rear wheels when a person is in the front row is calculated using formula (2):

[0035]

[0036] Where: F″ Q The increase in front wheel load when people are in the front seat; F″ H is the increase in rear wheel load when the front row passengers are in the front row; X1 is the distance from the front wheel center to the center of mass of the front row passengers; X2 is the distance from the rear wheel center to the center of mass of the front row passengers; M A 、M B are the weights of A and B in the figure respectively; g is the acceleration due to gravity.

[0037] The load on the front and rear wheels when a person is in the rear seat is calculated using formula (3):

[0038]

[0039] Where: F′ Q F' is the increase in front wheel load when people are in the back seat; H = is the increase in rear wheel load when the rear seat is occupied; X3 is the distance from the front wheel center to the center of mass of the rear seat occupant; X4 = the distance from the rear wheel center to the center of mass of the rear seat occupant; M C 、M D are the weights of C and D in the figure respectively; g is the acceleration due to gravity.

[0040] After people get on the vehicle, the additional loads on the front and rear wheel centers are as follows:

[0041]

[0042] Where: F Q The front wheel load after the passenger is loaded; F H is the load on the rear wheels after passengers are loaded; Δl3 is the compression of the front wheel air suspension after passengers are loaded; Δl4 is the compression of the rear wheel air suspension after passengers are loaded.

[0043] The present invention predicts the weight change of the front and rear rows in advance, and predicts the change of the load on the front and rear axles of the vehicle caused by the vehicle. The present invention adjusts the air suspension stiffness in advance to keep the compressed length of the air suspension unchanged. That is, in formula (5), Δl1 = Δl3, Δl2 = Δl4; k1 is adjusted to k′1 in advance, and k2 is adjusted to k′2 in advance. By sorting out formulas (1) to (5), we get:

[0044]

[0045] Where: k′1 is the stiffness of the single air suspension of the front wheel after the passenger is loaded; k′2 is the stiffness of the single air suspension of the rear wheel after the passenger is loaded.

[0046] Preferably, the front row center of mass is pushed 100 mm forward of the hinge point between the torso and thigh of the front row occupant.

[0047] Preferably, the rear row center of mass is pushed 100 mm forward of the hinge point between the rear row person's torso and thigh.

[0048] like Figure 3 As shown, the air suspension control system based on face recognition using the above method includes:

[0049] A face recognition unit, which uses one or more cameras installed around the vehicle body to recognize the facial information of the driver and passenger, recognize and record the door position information through which the driver and passenger enter, and transmit the recorded information to a storage unit;

[0050] The weight judgment unit sends the seat information and weight to the storage unit after the driver and passenger take their seats;

[0051] A storage unit, storing and establishing information data of the face recognition unit and weight data of the weight judgment unit and a corresponding relationship;

[0052] The control unit identifies the door through which the driver and passenger enter based on the face recognition unit, determines the seating position, obtains the weight of the driver and passenger corresponding to each position in the storage unit, calculates the stiffness of the single air suspension of the front and rear wheels carrying the passenger, and adjusts the stiffness of the air suspension to the above-mentioned calculation result in advance.

[0053] After the controller and suspension of the vehicle body have memory function, when the passengers get on the vehicle, the air suspension can be automatically inflated, the stiffness and carrying capacity increase, and the passengers cannot feel the changes of the vehicle body after getting on the vehicle. It increases the comfort and user experience. When the passengers get off the vehicle, the air spring is deflated, the stiffness and carrying capacity decrease, but the spring travel does not change, and the user cannot feel the up and down changes of the suspension, which increases the experience.

[0054] Those skilled in the art will readily appreciate that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, combinations, replacements, improvements, etc. made within the spirit and principles of the present invention are included within the protection scope of the present invention.

Claims

1. An air suspension control method based on face recognition, characterized in that: Collect and record the facial information and weight of the driver and passenger. When the driver and passenger are about to ride next time, the driver and passenger's waiting position is identified and the load change of the front and rear wheel centers is evaluated based on the recorded driver and passenger information, and the air pressure of the air spring is adjusted in advance. Keeping the compression of the air suspension unchanged when the vehicle is unloaded and loaded, the stiffness of the single air suspension of the front and rear wheels carrying passengers is calculated based on the identified waiting position of the driver and passenger and the recorded weight of the driver and passenger at that position, and the stiffness of the air suspension is adjusted to the calculated stiffness in advance; The stiffness of the single air suspension of the front and rear wheels carrying passengers is calculated according to the following formula: Where: k′1 is the stiffness of the single air suspension of the front wheel after carrying people; k′2 is the stiffness of the single air suspension of the rear wheel after carrying people; k1 is the stiffness of the single air suspension of the front wheel when unloaded; Δl1 is the compression of the front wheel air suspension when unloaded; k2 is the stiffness of the single air suspension of the rear wheel when unloaded; Δl2 is the compression of the rear wheel air suspension when unloaded; F′ Q The increase in front wheel load when people are in the rear seat; F″ Q F' is the increase in front wheel load when people are in the front row; H The increase in rear wheel load when people are in the rear seat; F″ H It is the increase in rear wheel load when a person is in the front seat. k1, k2, Δl1, and Δl2 are custom designed according to the vehicle posture and ground line requirements during vehicle tuning. Among them, F′ Q , F′ H , F″ Q and F″ H Calculated by the following formula Where: X1 is the distance from the front wheel center to the center of mass of the front row occupants; X2 is the distance from the rear wheel center to the center of mass of the front row occupants; X3 is the distance from the front wheel center to the center of mass of the rear row occupants; X4 is the distance from the rear wheel center to the center of mass of the rear row occupants; M A 、M B 、M C 、M D They are the weights of the people in the front row on the right, front row on the left, back row on the right, and back row on the left.

2. The air suspension control method based on face recognition according to claim 1, characterized in that: The facial information of the driver and passengers is recorded through the cameras installed on each door handle, and the waiting position of the driver and passengers is also determined and identified.

3. The air suspension control method based on face recognition according to claim 2, characterized in that: After the driver and passengers take their seats, the seat determines the weight of the driver and passengers in that position.

4. The air suspension control method based on face recognition according to claim 3 is characterized in that: The vehicle-mounted system records and stores the facial information of the driver and passengers, as well as the weight corresponding to the facial information.

5. The air suspension control method based on face recognition according to claim 1, characterized in that: The center of mass of the front row is the hinge point between the torso and thigh of the front row occupant, pushed forward 100mm.

6. The air suspension control method based on face recognition according to claim 1, characterized in that: The rear center of mass is the hinge point between the torso and thigh of the rear seat occupant, pushed forward 100 mm.

7. An air suspension control system based on face recognition using the method according to any one of claims 1 to 6, characterized in that: The control system comprises: A face recognition unit, which uses one or more cameras installed around the vehicle body to recognize the facial information of the driver and passenger, recognize and record the door position information through which the driver and passenger enter, and transmit the recorded information to a storage unit; The weight judgment unit sends the seat information and weight to the storage unit after the driver and passenger take their seats; A storage unit, storing and establishing information data of the face recognition unit and weight data of the weight judgment unit and a corresponding relationship; The control unit identifies the door through which the driver and passenger enter based on the face recognition unit, determines the seating position, obtains the weight of the driver and passenger corresponding to each position in the storage unit, calculates the stiffness of the single air suspension of the front and rear wheels carrying the passenger, and adjusts the stiffness of the air suspension to the calculated stiffness in advance.

Images