Slip table test method, device and electronic equipment for simulating small offset collision of vehicle

Abstract

The application provides a sled test method, device and electronic equipment for simulating a small offset collision of a vehicle, comprising installing acceleration sensors at three position points of RA, RB and LB of a vehicle to be tested and a dummy chest position point; obtaining a loading waveform generated by a projection of the dummy chest position point on a preset plane during the small offset collision, and a static deflection angle generated based on a motion trajectory curve of the dummy chest relative to a vehicle body; adjusting a body-in-white angle of a sled based on the static deflection angle, and inputting the loading waveform into a control module of the sled to perform a 25% small offset collision test. The application can quickly determine the deflection angle of the body-in-white in different vehicle models and the intensity of the input collision waveform, so as to facilitate the popularization in different vehicle models and reduce the product development cycle.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of simulation test technology, and particularly relates to a slide table test method, device and electronic equipment for simulating a small offset collision of a vehicle. BACKGROUND

[0002] 25% overlap rate offset collision accounts for a relatively heavy proportion in all frontal collisions, and accounts for a significant proportion in serious to fatal injuries, so in vehicle development, the constraint system parameter optimization needs to be carried out for the working condition. In the research of automobile collision safety, the adjustment of the matching parameters of the constraint system of the vehicle is usually verified and adjusted through vehicle test, but due to the complexity of the 25% small offset collision working condition, the constraint system parameters need to be repeatedly adjusted and verified, so in the vehicle development process, problems such as long development cycle and high cost may occur. An urgent need exists for a slide table test method capable of simulating 25% overlap rate offset collision test to reduce the cost generated by the development cycle. SUMMARY

[0003] In order to solve the above technical problems, the present application provides a slide table test method, device and electronic equipment for simulating a small offset collision of a vehicle, so as to effectively improve the slide table test efficiency when simulating a 25% small offset collision.

[0004] In order to achieve the above purpose, the technical scheme adopted by the present application is as follows:

[0005] In the first aspect, the present application provides a slide table test method for simulating a small offset collision of a vehicle, which specifically comprises the following steps:

[0006] An acceleration sensor is installed at the RA, RB and LB positions of the vehicle to be tested and the dummy chest position;

[0007] A load waveform generated by the projection of the dummy chest position on the preset plane during the small offset collision is obtained, and a static deflection angle generated based on the motion trajectory curve of the dummy chest relative to the vehicle body is obtained;

[0008] The body-in-white angle of the slide table is adjusted based on the static deflection angle, and the load waveform is input into the control system of the slide table to perform a 25% small offset collision test;

[0009] Wherein, RA represents the acceleration sensor position below the right A pillar of the vehicle, RB represents the acceleration sensor position below the right B pillar of the vehicle, and LB represents the acceleration sensor position below the left B pillar of the vehicle.

[0010] According to the above technical means, in the whole vehicle collision physical test, three acceleration sensors are installed at three places which do not deform, and the X, Y and Z direction accelerations of the three acceleration sensors are obtained, and an acceleration sensor is installed at the dummy chest position to obtain the dummy motion data in the collision test.

[0011] Further, the step of generating the loading waveform of the projection of the dummy chest position point on the preset plane comprises:

[0012] The vehicle body is regarded as a rigid body based on the restraint system model, and an XOY plane is preset,

[0013] The projection point P of the dummy chest position point on the XOY plane is obtained, and the projection distances of the projection point P, RA, RB and LB in different directions are generated;

[0014] The loading waveform of the sled test is generated based on the projection distances and the acceleration synthesis model.

[0015] According to the above technical means, the restraint system model is preset as an XOY plane, so that the corresponding distances of the projection point are obtained to provide a basis for generating the loading waveform.

[0016] Further, the step of obtaining the projection point P of the dummy chest position point on the XOY plane and generating the projection distances of the projection point P, RA, RB and LB in different directions comprises: obtaining the distances between the P point and RA, RB and LB respectively, generating the projection distance a of the distance between the P point and RA in the X direction, the projection distances b and c of the distance between the P point and RB in the X and Y directions respectively, and the projection distance d of the distance between the P point and the LB point in the Y direction.

[0017] According to the above technical means, based on the measured position relationship between the points, the generation of the loading curve of the present application is realized by referring to the idea of determining the sled waveform based on the left and right side B pillar acceleration synthesis.

[0018] Further, the step of generating the loading waveform of the sled test based on the projection distances and the acceleration synthesis model comprises: inputting the projection distances a, b, c, d and the accelerations obtained based on the acceleration sensors into the following acceleration synthesis model to generate the loading curve:

[0019]

[0020] In the formula, ACC LB is the X direction acceleration at LB, ACC RB is the X direction acceleration at RB, ACC RA is the X direction acceleration at RA, and ACC P is the loading curve of the X direction acceleration at the projection point P corresponding to the dummy chest position.

[0021] According to the above technical means, the body-in-white angle is adjusted by acquiring the basic deflection angle, so as to realize effectiveness in the collision test process.

[0022] Further, the step of generating the static deflection angle based on the motion trajectory curve of the dummy chest relative to the vehicle body comprises: constructing a reference coordinate system at the bottom plate projection of the dummy chest acceleration sensor, and extracting a first motion trajectory curve of the dummy chest relative to the vehicle body on the XOY plane in the simulation results at the time of collision; intercepting a second motion trajectory curve of the dummy in the X direction from the start of dislocation to the maximum dislocation on the first motion trajectory curve; matching a linear regression curve corresponding to the collision motion of the dummy on the second motion trajectory; and generating a static deflection angle based on the slope of the linear regression curve.

[0023] According to the above technical means, the slope of the linear regression curve is used to generate the static deflection angle, which is based on the deflection angle of the vehicle body around the Z axis, so as to effectively improve the accuracy of the body-in-white detection.

[0024] Further, the step of generating the static deflection angle based on the slope of the linear regression curve comprises calculating the static deflection angle of the vehicle body around the Z axis based on the slope of the linear regression curve using an inverse trigonometric function.

[0025] In a second aspect, the present application provides a device for simulating a sled test of a small offset collision of a vehicle, the device comprising:

[0026] An acceleration sensor is installed at three position points of RA, RB and LB of the vehicle to be tested and a dummy chest position point, and is used to acquire acceleration;

[0027] A processing module is used to acquire a load waveform generated by the projection of the dummy chest position point on a preset plane when a small offset collision is performed, and a static deflection angle generated based on the motion trajectory curve of the dummy chest relative to the vehicle body;

[0028] A test module is used to adjust the body-in-white angle of the sled based on the static deflection angle, and perform a 25% small offset collision test after inputting the load waveform into the control system of the sled;

[0029] Wherein, RA represents the acceleration sensor position below the right A pillar of the vehicle, RB represents the acceleration sensor position below the right B pillar of the vehicle, and LB represents the acceleration sensor position below the left B pillar of the vehicle.

[0030] Further, the processing module comprises:

[0031] The first processing sub-module is used for regarding the vehicle body as a rigid body based on a constraint system model, presetting an XOY plane, obtaining a projection point P of a dummy chest position point on the XOY plane, and generating projection distances of the projection point P and RA, RB and LB in different directions, and generating a loading waveform of the sled test based on the projection distances and an acceleration synthesis model;

[0032] The second processing sub-module is used for constructing a reference coordinate system at a bottom plate projection of a dummy chest acceleration sensor, extracting a first motion trajectory curve of the dummy chest on the XOY plane relative to the vehicle body in a simulation result during the collision; intercepting a second motion trajectory curve of the dummy in the X direction from the start of dislocation to the maximum dislocation on the first motion trajectory curve; matching a linear regression curve corresponding to the collision motion of the dummy on the second motion trajectory; and generating a static deflection angle based on a slope of the linear regression curve.

[0033] In a third aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of the method in the first aspect are implemented.

[0034] In a fourth aspect, an electronic device is provided. The electronic device includes the computer readable storage medium in the third aspect, and one or more processors configured to execute the program in the computer readable storage medium.

[0035] The present application has the following beneficial effects:

[0036] The present application provides a sled test method which can effectively reflect the motion and damage of the dummy in the small offset collision. The deflection angle of the vehicle body is calculated by extracting the motion trajectory of the dummy. The collision acceleration curve at the position of the dummy is calculated based on the relative position relationship in space by using multiple position acceleration curves as the loading waveform of the sled. The number of simulation matrices is reduced, and the deflection angle of the body-in-white is quickly obtained. The deflection angle of the body-in-white and the intensity of the input collision waveform are quickly determined in different vehicle models, so that the method can be popularized in different vehicle models and the product development cycle is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 A flowchart of the sled test method for simulating the small offset collision of the vehicle is provided.

[0038] Figure 2 A schematic diagram of the sled test method for simulating the small offset collision of the vehicle is provided.

[0039] Figure 3 A point position diagram of the acceleration sensor and the dummy position in the sled test method for simulating the small offset collision of the vehicle is provided.

[0040] Figure 4 This is a schematic diagram of the dummy's motion trajectory curve in the sliding table test method for simulating a small offset vehicle collision proposed in the present invention.

[0041] Figure 5 This is a framework diagram of the sliding table test device proposed in the present invention for simulating a small offset collision of a vehicle. DETAILED DESCRIPTION

[0042] The following describes the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art will readily appreciate the other advantages and benefits of the present invention from the disclosure herein. The present invention may also be implemented or applied through various other specific embodiments, and the various details in this specification may be modified or altered based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are intended only to illustrate the present invention and are not intended to limit the scope of protection of the present invention.

[0043] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. Therefore, the illustrations only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.

[0044] This embodiment provides a sliding table test method for simulating a small offset collision of a vehicle. Figures 1-2 As shown, the method includes the following steps:

[0045] Step S101: Install acceleration sensors at the RA, RB, and LB positions of the vehicle to be tested and at the chest position of the dummy.

[0046] Step S102: Obtain a loading waveform generated by the projection of the dummy's chest position point on a preset plane during a small offset collision, and a static deflection angle generated based on the motion trajectory curve of the dummy's chest relative to the vehicle body.

[0047] Step S103: adjusting the body-in-white angle of the trolley based on the static deflection angle, and inputting the loading waveform into the control system of the slide to perform a 25% small offset collision test.

[0048] In this embodiment, if Figure 3 As shown in the figure, during the full-vehicle collision test, accelerometers were placed in three locations where deformation would not occur. A small-offset collision test was conducted, and the X, Y, and Z accelerations of the three accelerometers were obtained. RA represents the accelerometer located below the right A-pillar, RB represents the accelerometer located below the right B-pillar, and LB represents the accelerometer located below the left B-pillar.

[0049] It should be noted that after the installation of the acceleration sensor, the obtained acceleration is loaded into the restraint system model, and a crash test of the vehicle is performed.

[0050] In the embodiment, the purpose of step S102 is to realize the generation process of the loading waveform and the static deflection angle, wherein the generation process of the loading waveform comprises:

[0051] Based on the restraint system model, the vehicle body is regarded as a rigid body and an XOY plane is preset,

[0052] The projection point P of the dummy chest position point on the XOY plane is obtained, and the projection distances of the projection point P and RA, RB and LB in different directions are generated;

[0053] Based on the projection distances and the acceleration synthesis model, the loading waveform of the sled test is generated.

[0054] It should be noted that in the restraint system model, the vehicle body of the vehicle to be tested is regarded as a rigid body, and the spatial coordinates of the projection points of the three acceleration sensors and the dummy chest acceleration sensor in the same horizontal plane are obtained. As shown in Figure 3 The projection point of the dummy chest position point on the XOY plane is defined as point P, the distances between P and RA, RB and LB are obtained respectively, the projection distance a of the distance between P and RA in the X direction is generated, the projection distances b and c of the distance between P and RB in the X and Y directions are generated respectively, and the projection distance d of the distance between P and LB in the Y direction is generated.

[0055] After obtaining the positional relationship, the loading curve is generated by the following acceleration synthesis model:

[0056]

[0057] In the formula, ACC LB is the X-direction acceleration at LB, ACC RB is the X-direction acceleration at RB, ACC RA is the X-direction acceleration at RA, and ACC P is the loading curve of the X-direction acceleration at the projection point P corresponding to the dummy chest position.

[0058] The generation process of the loading curve is described above, and the generation process of the static deflection angle in step S102 also includes the following contents:

[0059] A reference coordinate system is constructed at the projection point of the dummy chest acceleration sensor on the bottom plate, and the first motion trajectory curve of the dummy chest on the XOY plane relative to the vehicle body in the simulation result at the time of the crash is extracted, as shown in Figure 4As shown, the comprehensive analysis of the dummy motion response in the whole process of the collision and the protection of the dummy by the restraint system model, the second motion trajectory curve of the dummy in the X direction from the beginning of the dislocation to the maximum dislocation is intercepted on the first motion trajectory curve, and the second motion trajectory curve is shown in the blue line frame. Figure 4 The curve in the blue line frame is shown.

[0060] In this embodiment, the linear regression curve corresponding to the collision motion of the dummy is matched on the second motion trajectory, and the static deflection angle is generated based on the slope of the linear regression curve. It should be noted that the linear regression curve can reflect the collision motion response of the dummy to a large extent, and the linear regression curve is shown as a red linear curve. Figure 4 The red linear curve is shown.

[0061] In this embodiment, based on the slope of the determined linear regression curve, the inverse trigonometric function is used to calculate the corresponding basic deflection angle of the vehicle body around the Z axis as the static deflection angle of the white body on the slide.

[0062] After steps S101 and S102, step S103 is performed to obtain the loading waveform of the slide and the deflection angle of the white body, adjust the white body angle, input the loading waveform into the control system of the slide, and perform a 25% small offset collision test.

[0063] As shown in Figure 5 The embodiment also provides a device for simulating a small offset collision test of a vehicle on a slide, and the device comprises:

[0064] An acceleration sensor is installed at three position points RA, RB and LB of the vehicle to be tested and a dummy chest position point, and is used to obtain acceleration;

[0065] A processing module is configured to obtain a loading waveform generated by a projection of a dummy chest position point on a preset plane when a small offset collision is performed, and a static deflection angle generated based on a motion trajectory curve of the dummy chest relative to the vehicle body;

[0066] A test module is configured to adjust the white body angle of the trolley based on the static deflection angle, and perform a 25% small offset collision test after inputting the loading waveform into the control system of the slide;

[0067] Wherein, RA represents the acceleration sensor position below the right A pillar of the vehicle, RB represents the acceleration sensor position below the right B pillar of the vehicle, and LB represents the acceleration sensor position below the left B pillar of the vehicle.

[0068] Further, the processing module comprises:

[0069] The first processing submodule is used for regarding the vehicle body as a rigid body based on a constraint system model, presetting an XOY plane, obtaining a projection point P of a dummy chest position point on the XOY plane, and generating projection distances of the projection point P, RA, RB and LB in different directions, and generating a loading waveform of the sled test based on the projection distances and an acceleration synthesis model.

[0070] The second processing submodule is used for constructing a reference coordinate system at a bottom plate projection point of a dummy chest acceleration sensor, extracting a first motion trajectory curve of the dummy chest on the XOY plane relative to the vehicle body in a simulation result during a collision, intercepting a second motion trajectory curve of the dummy in an X direction from starting to dislocate to maximum dislocation on the first motion trajectory curve, matching a linear regression curve corresponding to a collision motion of the dummy on the second motion trajectory curve, and generating a static deflection angle based on a slope of the linear regression curve.

[0071] In the embodiment, a computer readable storage medium is provided, and a computer program is stored on the computer readable storage medium.

[0072] In the embodiment, an electronic device is provided, which includes the computer readable storage medium and one or more processors configured to execute the program in the computer readable storage medium.

[0073] Based on the technical solution of the present application, the sled test has been used as a supplement and alternative tool for the automobile collision test, has the characteristics of high reliability and repeatability, and can effectively reduce the development cycle and development cost of the vehicle. The main function is to test the performance of vehicle parts, such as seats, safety belts and airbags. By simulating the motion state of the occupant during the real vehicle collision process, the action process of the restraint system in the driver's cabin and the cause of the occupant injury are reflected. The present application creates, as shown in the figure, a 25% overlap rate offset collision by loading a collision waveform and deflecting the body in white by a certain angle on the basis of the sled. Figure 2

[0074] Obtaining the loading waveform of the sled test: acceleration sensors are arranged below the left B pillar, below the right B pillar and below the right A pillar (without deformation area) of the vehicle body in the vehicle collision test, to obtain the acceleration generated during the small offset collision. The position of the projection point of the dummy chest acceleration sensor on the horizontal plane determined by the three acceleration sensors mounted on the vehicle body is recorded, and the loading waveform of the sled test is determined based on the acceleration synthesis of the left and right B pillars.

[0075] ​The deflection angle is constructed by taking the dummy chest acceleration sensor at the bottom plate projection as a reference coordinate system, and extracting the motion trajectory curve of the dummy chest in the XOY plane relative to the vehicle body in the small offset simulation results. The motion trajectory curve of the dummy in the X direction from the start of the off-site to the maximum off-site is intercepted, and a linear regression curve that can reflect the motion response of the dummy to a greater extent is constructed based on the intercepted motion trajectory curve. Based on the slope of the linear regression curve, the static deflection angle of the vehicle body is obtained by using the inverse trigonometric function.

[0076] The above examples are only preferred embodiments for fully illustrating the present application, and the protection scope of the present application is not limited thereto. Any equivalent replacement or transformation made by those skilled in the art on the basis of the present application is within the protection scope of the present application.

Claims

1. A sliding table test method for simulating a small offset collision of a vehicle, characterized in that: The method comprises the following steps: Install acceleration sensors at the RA, RB, and LB positions of the vehicle to be tested and at the chest position of the dummy; Obtain the loading waveform generated by the projection of the dummy's chest position point on a preset plane during a small offset collision, as well as the static deflection angle generated based on the motion trajectory curve of the dummy's chest relative to the vehicle body; Adjusting the body-in-white angle of the trolley based on the static deflection angle, and inputting the loading waveform into the control system of the slide to perform a 25% small offset collision test; Where RA represents the acceleration sensor position below the right A-pillar of the vehicle, RB represents the acceleration sensor position below the right B-pillar of the vehicle, and LB represents the acceleration sensor position below the left B-pillar of the vehicle. The steps of generating a loading waveform by projecting a dummy chest position point onto a preset plane include: Based on the constraint system model, the vehicle body is regarded as a rigid body and an XOY plane is preset; Obtain the projection point P of the dummy's chest position on the XOY plane, and generate the projection distances between the projection point P and RA, RB, and LB in different directions; generating a loading waveform for a sliding table test based on the projection distance and the acceleration synthesis model; The steps of generating a static deflection angle based on a motion trajectory curve of the dummy's chest relative to the vehicle body include: constructing a reference coordinate system at the projection position of the base plate using the dummy's chest acceleration sensor, extracting a first motion trajectory curve of the dummy's chest relative to the vehicle body on the XOY plane in the simulation results during the collision; intercepting a second motion trajectory curve of the dummy from the initial displacement to the maximum displacement in the X direction on the first motion trajectory curve; matching a linear regression curve corresponding to the dummy's collision motion on the second motion trajectory; and generating a static deflection angle based on the slope of the linear regression curve.

2. The sliding table test method according to claim 1, characterized in that: The steps of obtaining a projection point P of the dummy's chest position point on the XOY plane and generating projection distances between the projection point P and RA, RB, and LB in different directions include: obtaining the distances between point P and RA, RB, and LB respectively, generating a projection distance a of the distance between point P and RA in the X direction, projection distances b and c of the distance between point P and RB in the X and Y directions respectively, and a projection distance d of the distance between point P and point LB in the Y direction.

3. The sliding table test method according to claim 1, characterized in that: The step of generating a loading waveform of a sliding table test based on the projection distance and the acceleration synthesis model includes: inputting the projection distances a, b, c, d and the acceleration obtained by the acceleration sensor into the following acceleration synthesis model to generate a loading curve: Where, is the X-axis acceleration at LB, is the X-axis acceleration at RB, is the X-axis acceleration at RA, is the loading curve of the X-axis acceleration at the projection point P corresponding to the dummy’s chest position.

4. The sliding table test method according to claim 1, characterized in that: The step of generating a static deflection angle based on the slope of the linear regression curve includes generating a static deflection angle of the vehicle body around the Z axis by using an inverse trigonometric function based on the slope of the linear regression curve.

5. A device for a sliding table test simulating a small offset collision of a vehicle, characterized in that: The device comprises: Acceleration sensors are installed at the RA, RB, and LB positions of the vehicle to be tested and at the chest position of the dummy to obtain acceleration; a processing module for obtaining a loading waveform generated by the projection of the dummy's chest position point on a preset plane during a small offset collision, and a static deflection angle generated based on a motion trajectory curve of the dummy's chest relative to the vehicle body; A test module, configured to adjust the body-in-white angle of the trolley based on the static deflection angle, and input the loading waveform into the control system of the slide to perform a 25% small offset collision test; Where RA represents the acceleration sensor position below the right A-pillar of the vehicle, RB represents the acceleration sensor position below the right B-pillar of the vehicle, and LB represents the acceleration sensor position below the left B-pillar of the vehicle. The processing module includes: The first processing submodule is configured to treat the vehicle body as a rigid body based on the constraint system model and pre-set an XOY plane, obtain the projection point P of the dummy's chest position on the XOY plane, generate the projection distances between the projection point P and RA, RB, and LB in different directions, and generate the loading waveform for the sliding table test based on the projection distances and the acceleration synthesis model; The second processing submodule is configured to construct a reference coordinate system using the dummy's chest acceleration sensor projected onto the baseplate, extract a first motion trajectory curve of the dummy's chest relative to the vehicle body in the XOY plane in the simulation results during the collision, intercept a second motion trajectory curve of the dummy in the X direction from initial displacement to maximum displacement on the first motion trajectory curve, match a linear regression curve corresponding to the dummy's collision motion on the second motion trajectory, and generate a static deflection angle based on the slope of the linear regression curve.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

7. An electronic device, characterized in that include: The computer-readable storage medium of claim 6; and one or more processors configured to execute the program in the computer-readable storage medium.

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