Method, device and equipment for determining triggering angle of safety air bag during rollover of vehicle and storage medium

By building a high-precision multi-body dynamic model and simulating vehicle rollover, obtaining the critical angle of rollover, the problem of low accuracy of airbag triggering angle in the prior art is solved, and more efficient determination of airbag triggering angle is achieved.

CN120493537APending Publication Date: 2025-08-15VOYAH AUTOMOBILE TECH CO LTD
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Patent Information

Application Number
CN202510605161.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-12
Publication Date
2025-08-15

AI Technical Summary

Technical Problem

In the prior art, the test method of airbag triggering angle when a vehicle rolls over, relies on physical prototype vehicle testing, which is costly, long cycles and difficult to cover extreme working conditions, resulting in low accuracy.

Method used

By obtaining vehicle design parameters, a high-precision multi-body dynamic model is built, a simulation sensor is used to simulate vehicle rollover, acquiring rollover speed signals and angular velocity signals, determining the critical angle of rollover and triggering the airbag.

Benefits of technology

Improves the accuracy of the airbag triggering angle when the vehicle rolls over, reduces development costs and time, and can cover more working conditions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a method, device and equipment for determining the triggering angle of an air bag during rollover of a vehicle and a storage medium, and relates to the technical field of automobile engineering.The method for determining the triggering angle of the air bag during rollover of the vehicle comprises the steps that vehicle design parameters are obtained, and a high-precision multi-body dynamics model is built; vehicle rollover simulation is carried out through the high-precision multi-body dynamics model, and a rollover speed signal curve and a rollover angular speed signal curve are obtained through a simulation sensor; and rollover critical angles at different rollover speeds are obtained through the rollover speed signal curve and the rollover angular speed signal curve, and the safety air bag triggering angle during rollover of the vehicle is determined according to the rollover critical angles.
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Description

Technical Field

[0001] The present application relates to the field of automotive engineering technology, and in particular to a method, device, equipment, and storage medium for determining an airbag triggering angle when a vehicle rolls over. Background Art

[0002] In traditional automotive engineering, the airbag deployment angle during a rollover is a crucial component of vehicle safety performance assessment and dynamic analysis. Current testing methods rely heavily on physical prototype testing. However, due to high development costs, long development cycles, and a lack of coverage for extreme operating conditions, the accuracy of the airbag deployment angles obtained through testing is low. Therefore, improving the accuracy of airbag deployment angles during rollovers remains an unresolved issue.

[0003] The above content is only used to assist in understanding the technical solution of this application and does not constitute an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of this application is to provide a method, device, equipment and storage medium for determining the airbag triggering angle when a vehicle rolls over, aiming to solve the technical problem of how to improve the accuracy of the airbag triggering angle when a vehicle rolls over.

[0005] To achieve the above objectives, the present application proposes a method for determining the airbag triggering angle when a vehicle rolls over, the method comprising:

[0006] Acquire vehicle design parameters, build an initial whole-vehicle multi-body dynamics simulation model based on the vehicle design parameters, and establish a simulation sensor at a preset position in the initial whole-vehicle multi-body dynamics simulation model; acquire the vehicle's mass, relative center of mass position, and moment of inertia parameters, optimize the initial whole-vehicle multi-body dynamics simulation model based on the mass, relative center of mass position, and moment of inertia parameters, and build a high-precision multi-body dynamics model, wherein the mass, relative center of mass position, and moment of inertia parameters are acquired through a real vehicle test bench; perform vehicle rollover simulation using the high-precision multi-body dynamics model, and obtain a rollover velocity signal curve and a rollover angular velocity signal curve using the simulation sensor; obtain a rollover critical angle at different rollover speeds using the rollover velocity signal curve and the rollover angular velocity signal curve, and determine an airbag triggering angle when the vehicle rolls over based on the rollover critical angle.

[0007] In one embodiment, the step of optimizing the initial vehicle multi-body dynamics simulation model according to the mass, the relative center of mass position, and the moment of inertia parameters to build a high-precision multi-body dynamics model includes:

[0008] Convert the relative center of mass position into a coordinate system to obtain the target center of mass position coordinates in the vehicle coordinate system;

[0009] The parameters of the initial vehicle multi-body dynamics simulation model are adjusted according to the mass, the target center of mass position coordinates and the moment of inertia parameters to obtain a high-precision multi-body dynamics model.

[0010] In one embodiment, the step of performing coordinate system conversion on the relative center of mass position to obtain the target center of mass position coordinates in the vehicle coordinate system includes:

[0011] Calculate the horizontal and vertical coordinates of the relative center of mass position in the vehicle coordinate system based on the distance from the origin of the actual vehicle test bench to the relative center of mass position, the wheelbase length, and the coordinates of the front axle in the vehicle coordinate system;

[0012] Calculate the vertical coordinate of the relative center of mass position in the vehicle coordinate system based on the vertical distance from the origin of the actual vehicle test bench to the relative center of mass position, the vertical coordinate of the wheel center in the vehicle coordinate system, and the tire radius;

[0013] The target center of mass position coordinates in the vehicle coordinate system are obtained through the horizontal and vertical coordinates and the vertical coordinates.

[0014] In one embodiment, the steps of performing vehicle rollover simulation using the high-precision multi-body dynamics model and obtaining a rollover velocity signal curve and a rollover angular velocity signal curve using the simulation sensor include:

[0015] Establish a simulation translation test bench;

[0016] Establishing a wheel hub geometry model and a road shoulder barrier geometry model in the high-precision multi-body dynamics model;

[0017] The vehicle is controlled to move sideways by the simulation translation test bench so that the shoulder barrier geometric model contacts the wheel hub geometric model to perform lateral tripping simulation, and a rollover velocity signal curve and a rollover angular velocity signal curve are obtained by the simulation sensor.

[0018] In one embodiment, the step of establishing the wheel hub geometric model and the road shoulder barrier geometric model in the high-precision multi-body dynamics model includes:

[0019] Acquiring hub radius parameters, and establishing a hub geometric model according to the hub radius parameters;

[0020] Obtain position parameters, and create a shoulder barrier geometric model based on the position parameters, a preset height, and a preset width.

[0021] In one embodiment, after the step of establishing the wheel hub geometric model and the road shoulder barrier geometric model in the high-precision multi-body dynamics model, the method further includes:

[0022] Performing a penetration test on the wheel hub geometric model and the shoulder barrier geometric model, and when the distance between the wheel hub geometric model and the shoulder barrier geometric model is less than a preset value, the wheel hub geometric model and the shoulder barrier geometric model are in contact;

[0023] The translation test bench is driven laterally, and the starting position of the shoulder barrier geometric model is adjusted so that the shoulder barrier geometric model and the wheel hub geometric model are in contact with each other when the vehicle lateral movement speed is zero.

[0024] In one embodiment, the step of obtaining a rollover critical angle at different rollover speeds using the rollover velocity signal curve and the rollover angular velocity signal curve, and determining an airbag triggering angle when the vehicle rolls over based on the rollover critical angle includes:

[0025] Obtaining a plurality of initial rollover critical angles at different rollover speeds through the rollover speed signal curve and the rollover angular velocity signal curve;

[0026] The multiple initial rollover critical angles are screened and calculated to obtain rollover critical angles at different rollover speeds, and the airbag triggering angle when the vehicle rolls over is determined based on the rollover critical angles.

[0027] In addition, to achieve the above-mentioned purpose, the present application also proposes a device for determining the triggering angle of an airbag when a vehicle rolls over, the device comprising:

[0028] an acquisition module, configured to acquire vehicle design parameters, build an initial vehicle multi-body dynamics simulation model based on the vehicle design parameters, and establish simulation sensors at preset positions in the initial vehicle multi-body dynamics simulation model;

[0029] A construction module is used to obtain the vehicle's mass, relative center of mass position, and moment of inertia parameters, and optimize the initial vehicle multi-body dynamics simulation model based on the mass, relative center of mass position, and moment of inertia parameters to build a high-precision multi-body dynamics model. The mass, relative center of mass position, and moment of inertia parameters are obtained through a real vehicle test bench;

[0030] A simulation module, configured to simulate a vehicle rollover using the high-precision multi-body dynamics model, and obtain a rollover velocity signal curve and a rollover angular velocity signal curve using the simulation sensor;

[0031] The determination module is used to obtain a rollover critical angle at different rollover speeds through the rollover speed signal curve and the rollover angular velocity signal curve, and determine an airbag triggering angle when the vehicle rolls over according to the rollover critical angle.

[0032] In addition, to achieve the above-mentioned purpose, the present application also proposes a device for determining the triggering angle of the airbag when the vehicle rolls over, the device comprising: a memory, a processor, and a computer program stored on the memory and runnable on the processor, the computer program being configured to implement the steps of the method for determining the triggering angle of the airbag when the vehicle rolls over as described above.

[0033] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the method for determining the airbag triggering angle when the vehicle rolls over are implemented as described above.

[0034] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the method for determining the airbag triggering angle when the vehicle rolls over as described above.

[0035] The present application provides a method for determining the airbag triggering angle when a vehicle rolls over. The present application obtains vehicle design parameters, builds an initial whole-vehicle multi-body dynamics simulation model based on the vehicle design parameters, and establishes a simulation sensor at a preset position in the initial whole-vehicle multi-body dynamics simulation model; obtains the vehicle's mass, relative center of mass position, and moment of inertia parameters, and optimizes the initial whole-vehicle multi-body dynamics simulation model based on the mass, the relative center of mass position, and the moment of inertia parameters to build a high-precision multi-body dynamics model, wherein the mass, the relative center of mass position, and the moment of inertia parameters are obtained through a real vehicle test bench; performs vehicle rollover simulation through the high-precision multi-body dynamics model, and obtains a rollover velocity signal curve and a rollover angular velocity signal curve through the simulation sensor; obtains a rollover critical angle at different rollover speeds through the rollover velocity signal curve and the rollover angular velocity signal curve, and determines the airbag triggering angle when the vehicle rolls over based on the rollover critical angle.

[0036] In summary, this application builds a high-precision vehicle dynamics model by obtaining accurate vehicle center of mass, mass and moment of inertia parameters, which can accurately simulate the scene when the vehicle rolls over, thereby determining the airbag triggering angle and improving the accuracy of the airbag triggering angle when the vehicle rolls over. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0039] Figure 1 A flowchart illustrating a method for determining an airbag triggering angle when a vehicle rolls over in accordance with the present invention;

[0040] Figure 2 A flow chart illustrating a second embodiment of the method for determining the airbag triggering angle when a vehicle rolls over;

[0041] Figure 3 A schematic diagram of a simplified flow chart of a method for determining an airbag triggering angle when a vehicle rolls over, provided in Example 2 of the present application;

[0042] Figure 4 This is a schematic diagram of the module structure of the device for determining the airbag triggering angle when the vehicle rolls over according to an embodiment of the present application;

[0043] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the method for determining the airbag triggering angle when a vehicle rolls over in an embodiment of the present application.

[0044] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0046] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0047] The main solution of the present application is to obtain vehicle design parameters, build an initial whole-vehicle multi-body dynamics simulation model according to the vehicle design parameters, and establish a simulation sensor at a preset position in the initial whole-vehicle multi-body dynamics simulation model; obtain the vehicle's mass, relative center of mass position and moment of inertia parameters, and optimize the initial whole-vehicle multi-body dynamics simulation model according to the mass, the relative center of mass position and the moment of inertia parameters, and build a high-precision multi-body dynamics model, wherein the mass, the relative center of mass position and the moment of inertia parameters are obtained through a real vehicle test bench; perform vehicle rollover simulation through the high-precision multi-body dynamics model, and obtain the rollover velocity signal curve and the rollover angular velocity signal curve through the simulation sensor; obtain the rollover critical angle at different rollover speeds through the rollover velocity signal curve and the rollover angular velocity signal curve, and determine the airbag triggering angle when the vehicle rolls over according to the rollover critical angle.

[0048] Current testing methods rely heavily on physical prototype testing. However, due to high development costs, long development cycles, and the difficulty in covering extreme operating conditions, the accuracy of the airbag deployment angles obtained from these tests is low. Therefore, improving the accuracy of airbag deployment angles during vehicle rollovers remains an unresolved issue.

[0049] This application builds a high-precision vehicle dynamics model by obtaining accurate vehicle center of mass, mass and moment of inertia parameters, which can accurately simulate the scene when the vehicle rolls over, thereby determining the airbag triggering angle and improving the accuracy of the airbag triggering angle when the vehicle rolls over.

[0050] Based on this, the embodiment of the present application provides a method for determining the triggering angle of the airbag when the vehicle rolls over, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for determining the airbag triggering angle when the vehicle rolls over in this application.

[0051] In this embodiment, the method for determining the airbag triggering angle when the vehicle rolls over includes steps S10 to S40:

[0052] Step S10: Acquire vehicle design parameters, build an initial vehicle multi-body dynamics simulation model according to the vehicle design parameters, and establish simulation sensors at preset positions in the initial vehicle multi-body dynamics simulation model;

[0053] It should be noted that the execution subject of this embodiment may be a computing service device with data processing, network communication, and program execution capabilities, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the aforementioned functions, or a device for determining the airbag deployment angle during a vehicle rollover. This embodiment and the following embodiments will be described below using the device for determining the airbag deployment angle during a vehicle rollover as an example.

[0054] It should be noted that the vehicle design parameters include parameters such as the suspension system, steering system, braking system, anti-roll bar, body, powertrain, tires, etc., and a multi-body dynamics simulation model of the entire vehicle can be constructed through the vehicle design parameters. In addition, in order to subsequently obtain relevant data on vehicle rollover, a simulation sensor can be created at the position of interest on the body of the vehicle, so as to subsequently simulate and output the sensor signal during the lateral rollover process to obtain relevant data. For example, a simulation displacement sensor can be created at the airbag position, and the simulation displacement sensor can output speed data and angle data, or a monitoring acceleration sensor can be established at the A-pillar, B-pillar or C-pillar position of the car, which can output acceleration. This embodiment adopts the method of creating a simulation displacement sensor at the airbag position, so as to subsequently obtain speed data and angle data.

[0055] Step S20: Obtaining the vehicle's mass, relative center of mass position, and moment of inertia parameters, and optimizing an initial vehicle multi-body dynamics simulation model based on the mass, relative center of mass position, and moment of inertia parameters, to build a high-precision multi-body dynamics model. The mass, relative center of mass position, and moment of inertia parameters are obtained through a real vehicle test bench.

[0056] It should be noted that moment of inertia is a measure of the inertia of an object when rotating about a specific axis. It is related to the direction of the rotation axis and is typically divided into three principal directions: Ixx, Iyy, and Izz, with the center of mass coordinate system as a reference. Furthermore, the relative center of mass position is obtained using a real vehicle test bench, and the center of mass coordinates are relative to the actual vehicle test bench, so coordinate conversion is required.

[0057] In one feasible manner, the step of optimizing the initial vehicle multi-body dynamics simulation model according to the mass, the relative center of mass position, and the moment of inertia parameters to build a high-precision multi-body dynamics model includes:

[0058] Convert the relative center of mass position into a coordinate system to obtain the target center of mass position coordinates in the vehicle coordinate system;

[0059] The parameters of the initial vehicle multi-body dynamics simulation model are adjusted according to the mass, the target center of mass position coordinates and the moment of inertia parameters to obtain a high-precision multi-body dynamics model.

[0060] It is understandable that the horizontal and vertical coordinates of the relative center of mass position in the vehicle coordinate system can be calculated based on the distance from the origin of the actual vehicle test bench to the relative center of mass position, the wheelbase length, and the coordinates of the front axle in the vehicle coordinate system. For example, if the origin of the actual vehicle test bench is 0 and the lateral distance from the actual vehicle test bench to the center of mass is X1, then the distance a from the center of mass to the front axle is half of the wheelbase minus X1. If the lateral coordinate of the front axle in the vehicle coordinate system is X f, then the lateral coordinate of the center of mass in the vehicle coordinate is X f +a, the longitudinal coordinate can be obtained in the same way. In addition, the vertical coordinate of the relative center of mass position in the vehicle coordinate system can be calculated based on the vertical distance from the origin of the actual vehicle test bench to the relative center of mass position, the vertical coordinate of the wheel center in the vehicle coordinate system, and the tire radius. For example, the vertical center of mass measurement data is Z1, h is the Z coordinate of the wheel center in the vehicle coordinate system, and r is the tire radius, then the vertical coordinate of the center of mass in the vehicle coordinate system is Z1+hr. After obtaining the target center of mass position coordinates, the initial vehicle multi-body dynamics simulation model can be adjusted according to the mass, the target center of mass position coordinates, and the moment of inertia parameters to obtain a high-precision multi-body dynamics model.

[0061] Step S30: performing a vehicle rollover simulation using the high-precision multi-body dynamics model, and obtaining a rollover velocity signal curve and a rollover angular velocity signal curve using the simulation sensor;

[0062] It is understandable that vehicle rollover simulation can be performed through the high-precision multi-body dynamics model. During the vehicle rollover simulation process, the simulation sensor will record the displacement change data and angle change data when the vehicle rolls over, thereby obtaining the rollover velocity signal curve and the rollover angular velocity signal curve.

[0063] Step S40: obtaining a rollover critical angle at different rollover speeds through the rollover speed signal curve and the rollover angular velocity signal curve, and determining an airbag triggering angle when the vehicle rolls over according to the rollover critical angle.

[0064] It is understandable that when a vehicle rolls over, the critical angle of the vehicle rollover is different at different vehicle lateral speeds. The critical angle of the rollover at different rollover speeds is obtained through the rollover speed signal curve and the rollover angular velocity signal curve, and the airbag triggering angle when the vehicle rolls over is determined based on the rollover critical angle.

[0065] In one feasible embodiment, the step of obtaining the rollover critical angle at different rollover speeds through the rollover speed signal curve and the rollover angular velocity signal curve, and determining the airbag triggering angle when the vehicle rolls over according to the rollover critical angle includes:

[0066] Obtaining a plurality of initial rollover critical angles at different rollover speeds through the rollover speed signal curve and the rollover angular velocity signal curve;

[0067] The multiple initial rollover critical angles are screened and calculated to obtain rollover critical angles at different rollover speeds, and the airbag triggering angle when the vehicle rolls over is determined based on the rollover critical angles.

[0068] It is understandable that by simulating the vehicle rollover process multiple times, a large number of rollover velocity signal curves and rollover angular velocity signal curves can be obtained, thereby obtaining multiple critical angle results, and these critical angle results can be screened and processed, such as by calculating the variance to remove data with excessive deviation, or calculating the mean to obtain a more accurate critical angle result, and finally determine the airbag triggering angle when the vehicle rolls over.

[0069] The main solution of this embodiment is to obtain vehicle design parameters, build an initial whole-vehicle multi-body dynamics simulation model based on the vehicle design parameters, and establish a simulation sensor at a preset position in the initial whole-vehicle multi-body dynamics simulation model; obtain the vehicle's mass, relative center of mass position and moment of inertia parameters, and optimize the initial whole-vehicle multi-body dynamics simulation model based on the mass, the relative center of mass position and the moment of inertia parameters, and build a high-precision multi-body dynamics model, wherein the mass, the relative center of mass position and the moment of inertia parameters are obtained through a real vehicle test bench; perform vehicle rollover simulation through the high-precision multi-body dynamics model, and obtain the rollover velocity signal curve and the rollover angular velocity signal curve through the simulation sensor; obtain the rollover critical angle at different rollover speeds through the rollover velocity signal curve and the rollover angular velocity signal curve, and determine the airbag triggering angle when the vehicle rolls over based on the rollover critical angle.

[0070] This embodiment builds a high-precision vehicle dynamics model by obtaining accurate vehicle center of mass, mass and moment of inertia parameters, which can accurately simulate the scene when the vehicle rolls over, thereby determining the airbag triggering angle, thereby improving the accuracy of the airbag triggering angle when the vehicle rolls over.

[0071] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 2 , step S30 further includes steps S301 to S303:

[0072] Step S301: establishing a simulation translation test bench;

[0073] It should be noted that the simulation translation test bench is driven by a moving pair, which can drive the vehicle on the test bench to move laterally together. Therefore, the lateral movement of the vehicle can be controlled by controlling the simulation translation test bench.

[0074] Step S302: establishing a wheel hub geometric model and a road shoulder barrier geometric model in the high-precision multi-body dynamics model;

[0075] It is understandable that during a vehicle rollover, the main cause is the contact and collision between the vehicle's wheel hub and the road shoulder barrier. Therefore, it is necessary to establish a wheel hub geometric model and a road shoulder barrier geometric model in the high-precision multi-body dynamics model.

[0076] In a feasible manner, the step of establishing the wheel hub geometric model and the road shoulder barrier geometric model in the high-precision multi-body dynamics model includes:

[0077] Acquiring hub radius parameters, and establishing a hub geometric model according to the hub radius parameters;

[0078] Obtain position parameters, and create a shoulder barrier geometric model based on the position parameters, a preset height, and a preset width.

[0079] It's understandable that for the wheel hub geometry model, the most important parameter is the wheel hub radius. Obtaining accurate wheel hub parameters allows the hub geometry model to be established. For the shoulder barrier geometry model, the shoulder barrier can be considered a cuboid. After obtaining the position parameters, the shoulder barrier geometry model is created based on the preset height and width. To facilitate collision control of the shoulder barrier geometry model, markers can be created at the cuboid corners to control the starting position of the shoulder barrier.

[0080] It is understandable that after establishing the wheel hub geometric model and the shoulder barrier geometric model, it is also necessary to define the contact relationship between the wheel hub geometric model and the shoulder barrier geometric model.

[0081] In one embodiment, after the step of establishing the wheel hub geometric model and the road shoulder barrier geometric model in the high-precision multi-body dynamics model, the method further includes:

[0082] Performing a penetration test on the wheel hub geometric model and the shoulder barrier geometric model, and when the distance between the wheel hub geometric model and the shoulder barrier geometric model is less than a preset value, the wheel hub geometric model and the shoulder barrier geometric model are in contact;

[0083] The translation test bench is driven laterally, and the starting position of the shoulder barrier geometric model is adjusted so that the shoulder barrier geometric model and the wheel hub geometric model are in contact with each other when the vehicle lateral movement speed is zero.

[0084] It is understood that contact between the wheel hub geometry model and the shoulder barrier geometry model can be determined through penetration testing. When the distance between the wheel hub geometry model and the shoulder barrier geometry model is detected to be less than a preset value, the two are considered in contact. The friction coefficient can be adjusted based on actual road conditions to achieve a more realistic model. Furthermore, to successfully complete the subsequent rollover simulation, the starting position of the shoulder barrier geometry model must be adjusted to an appropriate location. Specifically, the shoulder barrier geometry model must be in contact with the wheel hub geometry model when the vehicle's lateral velocity is zero.

[0085] Step S303: Controlling the lateral movement of the vehicle through the simulation translation test bench so that the shoulder barrier geometric model contacts the wheel hub geometric model to perform lateral tripping simulation, and obtaining a rollover velocity signal curve and a rollover angular velocity signal curve through the simulation sensor.

[0086] It is understandable that after the models are created, the lateral movement of the vehicle can be controlled by simulating the lateral movement of the translation test bench. The lateral movement causes the vehicle's wheel hub geometric model to contact and collide with the shoulder barrier geometric model to complete the vehicle rollover simulation, and the rollover velocity signal curve and the rollover angular velocity signal curve are obtained through the simulation sensor.

[0087] This embodiment establishes a simulation translation test bench; establishes a wheel hub geometric model and a shoulder barrier geometric model in the high-precision multi-body dynamics model; controls the lateral movement of the vehicle through the simulation translation test bench so that the shoulder barrier geometric model contacts the wheel hub geometric model to perform a lateral tripping simulation, and obtains a rollover velocity signal curve and a rollover angular velocity signal curve through the simulation sensor.

[0088] In summary, this embodiment establishes a geometric model for the two objects that collide when the vehicle rolls over, thereby controlling the lateral movement of the vehicle to complete the rollover simulation, and can obtain accurate rollover velocity signal curves and rollover angular velocity signal curves, thereby improving the accuracy of the airbag triggering angle when the vehicle rolls over.

[0089] For example, to help understand the implementation process of the method for determining the airbag triggering angle when a vehicle rolls over obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Figure 3 , Figure 3This paper provides a simplified flowchart of a method for determining the airbag triggering angle during a vehicle rollover. Specifically, the method involves first obtaining vehicle design parameters and building a basic multi-body dynamics model. Next, a vehicle body output signal request is established, and the center of mass, mass, and moment of inertia are tested. The measured data is converted to the vehicle coordinate system and an updated high-precision multi-body dynamics model is built. The geometry of the wheel hub and the shoulder barrier is then established, the contact between the wheel hub and the shoulder barrier is established, a lateral movement test bench is built, and a lateral drive is added to the test bench. Finally, the shoulder barrier is adjusted to the appropriate position for rollover simulation. After the simulation results are processed, the airbag signal is output.

[0090] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the method for determining the airbag triggering angle when the vehicle rolls over in the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0091] This application also provides a device for determining the triggering angle of the airbag when the vehicle rolls over. Figure 4 The device for determining the triggering angle of the airbag when the vehicle rolls over comprises:

[0092] An acquisition module 10 is configured to acquire vehicle design parameters, build an initial vehicle multi-body dynamics simulation model based on the vehicle design parameters, and establish simulation sensors at preset positions in the initial vehicle multi-body dynamics simulation model;

[0093] Building module 20, for obtaining the vehicle's mass, relative center of mass position, and moment of inertia parameters, and optimizing an initial vehicle multi-body dynamics simulation model based on the mass, relative center of mass position, and moment of inertia parameters, to build a high-precision multi-body dynamics model. The mass, relative center of mass position, and moment of inertia parameters are obtained through a real vehicle test bench.

[0094] A simulation module 30 is configured to simulate a vehicle rollover using the high-precision multi-body dynamics model and obtain a rollover velocity signal curve and a rollover angular velocity signal curve using the simulation sensor;

[0095] The determination module 40 is configured to obtain a rollover critical angle at different rollover speeds based on the rollover speed signal curve and the rollover angular velocity signal curve, and determine an airbag triggering angle when the vehicle rolls over according to the rollover critical angle.

[0096] The main solution of this embodiment is to obtain vehicle design parameters, build an initial whole-vehicle multi-body dynamics simulation model based on the vehicle design parameters, and establish a simulation sensor at a preset position in the initial whole-vehicle multi-body dynamics simulation model; obtain the vehicle's mass, relative center of mass position and moment of inertia parameters, and optimize the initial whole-vehicle multi-body dynamics simulation model based on the mass, the relative center of mass position and the moment of inertia parameters, and build a high-precision multi-body dynamics model, wherein the mass, the relative center of mass position and the moment of inertia parameters are obtained through a real vehicle test bench; perform vehicle rollover simulation through the high-precision multi-body dynamics model, and obtain the rollover velocity signal curve and the rollover angular velocity signal curve through the simulation sensor; obtain the rollover critical angle at different rollover speeds through the rollover velocity signal curve and the rollover angular velocity signal curve, and determine the airbag triggering angle when the vehicle rolls over based on the rollover critical angle.

[0097] This embodiment builds a high-precision vehicle dynamics model by obtaining accurate vehicle center of mass, mass and moment of inertia parameters, which can accurately simulate the scene when the vehicle rolls over, thereby determining the airbag triggering angle, thereby improving the accuracy of the airbag triggering angle when the vehicle rolls over.

[0098] In one embodiment, the building module 20 is also used to convert the relative center of mass position into a coordinate system to obtain the target center of mass position coordinates in the whole vehicle coordinate system; the initial whole vehicle multi-body dynamics simulation model is parameter adjusted by the mass, the target center of mass position coordinates and the moment of inertia parameters to obtain a high-precision multi-body dynamics model.

[0099] In one embodiment, the building module 20 is further configured to calculate the horizontal and vertical coordinates of the relative center of mass position in the vehicle coordinate system based on the distance from the origin of the actual vehicle test bench to the relative center of mass position, the wheelbase length, and the coordinates of the front axle in the vehicle coordinate system;

[0100] Based on the vertical distance from the origin of the actual vehicle test bench to the relative center of mass position, the vertical coordinate of the wheel center in the vehicle coordinate system, and the tire radius, the vertical coordinate of the relative center of mass position in the vehicle coordinate system is calculated; the target center of mass position coordinate in the vehicle coordinate system is obtained through the horizontal and vertical coordinates and the vertical coordinates.

[0101] In one embodiment, the simulation module 30 is also used to establish a simulation translation test bench; establish a wheel hub geometric model and a shoulder barrier geometric model in the high-precision multi-body dynamics model; control the vehicle sideways movement through the simulation translation test bench so that the shoulder barrier geometric model contacts the wheel hub geometric model to perform a lateral tripping simulation, and obtain a rollover velocity signal curve and a rollover angular velocity signal curve through the simulation sensor.

[0102] In one embodiment, the simulation module 30 is further used to obtain hub radius parameters and establish a hub geometric model based on the hub radius parameters; obtain position parameters and create a shoulder barrier geometric model based on the position parameters, preset height and preset width.

[0103] In one embodiment, the simulation module 30 is also used to perform penetration detection on the wheel hub geometric model and the shoulder barrier geometric model. When the distance between the wheel hub geometric model and the shoulder barrier geometric model is less than a preset value, the wheel hub geometric model contacts the shoulder barrier geometric model; the translation test bench is driven laterally, and the starting position of the shoulder barrier geometric model is adjusted so that the shoulder barrier geometric model and the wheel hub geometric model contact each other when the vehicle lateral speed is zero.

[0104] In one embodiment, the determination module 40 is further used to obtain multiple initial rollover critical angles at different rollover speeds through the rollover velocity signal curve and the rollover angular velocity signal curve; screen and calculate the multiple initial rollover critical angles to obtain the rollover critical angles at different rollover speeds, and determine the airbag triggering angle when the vehicle rolls over based on the rollover critical angle.

[0105] The device for determining the airbag triggering angle during a vehicle rollover provided by this application utilizes the method for determining the airbag triggering angle during a vehicle rollover described in the aforementioned embodiments, thereby solving the technical problem of improving the accuracy of the airbag triggering angle during a vehicle rollover. Compared to the prior art, the beneficial effects of the device for determining the airbag triggering angle during a vehicle rollover provided by this application are the same as those of the method for determining the airbag triggering angle during a vehicle rollover provided by the aforementioned embodiments. The other technical features of the device for determining the airbag triggering angle during a vehicle rollover are the same as those disclosed in the aforementioned embodiments and are not further described here.

[0106] The present application provides a device for determining the triggering angle of an airbag when a vehicle rolls over. The device for determining the triggering angle of an airbag when a vehicle rolls over includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for determining the triggering angle of an airbag when a vehicle rolls over in the above-mentioned embodiment one.

[0107] Reference below Figure 5, which shows a schematic structural diagram of a device for determining the triggering angle of an airbag during a vehicle rollover suitable for implementing an embodiment of the present application. The device for determining the triggering angle of an airbag during a vehicle rollover in the embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The device for determining the triggering angle of an airbag when a vehicle rolls over is shown as an example only and should not limit the functions and scope of use of the embodiments of the present application.

[0108] like Figure 5 As shown, the device for determining the angle at which an airbag is triggered during a vehicle rollover may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes based on programs stored in a ROM (Read Only Memory) 1002 or programs loaded from a storage device 1003 into a RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the device for determining the angle at which an airbag is triggered during a vehicle rollover. Processing device 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, hard disk, etc.; and communication devices 1009. Communication devices 1009 can allow the device for determining the angle of airbag deployment during a vehicle rollover to communicate wirelessly or wired with other devices to exchange data. While the figure shows a device for determining the angle of airbag deployment during a vehicle rollover having various systems, it should be understood that not all of the illustrated systems are required to be implemented or present. More or fewer systems may alternatively be implemented or present.

[0109] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0110] The device for determining the angle of airbag deployment during a vehicle rollover provided in this application utilizes the method for determining the angle of airbag deployment during a vehicle rollover described in the aforementioned embodiment, thereby solving the technical problem of improving the accuracy of the airbag deployment angle during a vehicle rollover. Compared to the prior art, the beneficial effects of the device for determining the angle of airbag deployment during a vehicle rollover provided in this application are the same as those of the method for determining the angle of airbag deployment during a vehicle rollover described in the aforementioned embodiment. Other technical features of the device for determining the angle of airbag deployment during a vehicle rollover are the same as those disclosed in the aforementioned embodiment and are not further described here.

[0111] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0112] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0113] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, a computer program) stored thereon, and the computer-readable program instructions are used to execute the method for determining the airbag triggering angle when the vehicle rolls over in the above embodiment.

[0114] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0115] The computer-readable storage medium may be included in the device for determining the angle of airbag triggering when a vehicle rolls over; or may exist independently without being assembled into the device for determining the angle of airbag triggering when a vehicle rolls over.

[0116] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the device for determining the airbag triggering angle when the vehicle rolls over, the device is configured to: obtain vehicle design parameters, build an initial whole-vehicle multi-body dynamics simulation model based on the vehicle design parameters, and establish a simulation sensor at a preset position in the initial whole-vehicle multi-body dynamics simulation model; obtain the vehicle's mass, relative center of mass position, and moment of inertia parameters, and optimize the initial whole-vehicle multi-body dynamics simulation model based on the mass, relative center of mass position, and moment of inertia parameters to build a high-precision multi-body dynamics model, wherein the mass, relative center of mass position, and moment of inertia parameters are obtained through a real vehicle test bench; perform vehicle rollover simulation using the high-precision multi-body dynamics model, and obtain a rollover velocity signal curve and a rollover angular velocity signal curve using the simulation sensor; obtain a rollover critical angle at different rollover speeds using the rollover velocity signal curve and the rollover angular velocity signal curve, and determine the airbag triggering angle when the vehicle rolls over based on the rollover critical angle.

[0117] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0118] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0119] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0120] The computer-readable storage medium provided in this application stores computer-readable program instructions (i.e., a computer program) for executing the aforementioned method for determining the airbag triggering angle during a vehicle rollover. This computer-readable storage medium can address the technical problem of improving the accuracy of the airbag triggering angle during a vehicle rollover. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are similar to those of the method for determining the airbag triggering angle during a vehicle rollover provided in the aforementioned embodiment, and are not further elaborated here.

[0121] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the method for determining the triggering angle of an airbag when a vehicle rolls over as described above.

[0122] The computer program product provided in this application can solve the technical problem of improving the accuracy of airbag deployment angles during vehicle rollovers. Compared to the prior art, the computer program product provided in this application has the same beneficial effects as the method for determining airbag deployment angles during vehicle rollovers provided in the aforementioned embodiments, and will not be further elaborated here.

[0123] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for determining the triggering angle of an airbag when a vehicle rolls over, characterized in that: The method includes: Acquiring vehicle design parameters, building an initial vehicle multi-body dynamics simulation model based on the vehicle design parameters, and establishing simulation sensors at preset positions in the initial vehicle multi-body dynamics simulation model; Obtaining the vehicle's mass, relative center of mass position, and moment of inertia parameters, and optimizing an initial vehicle multi-body dynamics simulation model based on the mass, relative center of mass position, and moment of inertia parameters, to build a high-precision multi-body dynamics model. The mass, relative center of mass position, and moment of inertia parameters are obtained through a real vehicle test bench. Performing a vehicle rollover simulation using the high-precision multi-body dynamics model, and obtaining a rollover velocity signal curve and a rollover angular velocity signal curve using the simulation sensor; The rollover critical angles at different rollover speeds are obtained through the rollover speed signal curve and the rollover angular velocity signal curve, and the airbag triggering angle when the vehicle rolls over is determined according to the rollover critical angles.

2. The method according to claim 1, wherein The step of optimizing the initial vehicle multi-body dynamics simulation model according to the mass, the relative center of mass position, and the moment of inertia parameters to build a high-precision multi-body dynamics model includes: Convert the relative center of mass position into a coordinate system to obtain the target center of mass position coordinates in the vehicle coordinate system; The parameters of the initial vehicle multi-body dynamics simulation model are adjusted according to the mass, the target center of mass position coordinates and the moment of inertia parameters to obtain a high-precision multi-body dynamics model.

3. The method according to claim 2, wherein The step of performing coordinate system conversion on the relative center of mass position to obtain the target center of mass position coordinates in the vehicle coordinate system includes: Calculate the horizontal and vertical coordinates of the relative center of mass position in the vehicle coordinate system based on the distance from the origin of the actual vehicle test bench to the relative center of mass position, the wheelbase length, and the coordinates of the front axle in the vehicle coordinate system; Calculate the vertical coordinate of the relative center of mass position in the vehicle coordinate system based on the vertical distance from the origin of the actual vehicle test bench to the relative center of mass position, the vertical coordinate of the wheel center in the vehicle coordinate system, and the tire radius; The target center of mass position coordinates in the vehicle coordinate system are obtained through the horizontal and vertical coordinates and the vertical coordinates.

4. The method according to claim 1, wherein The steps of performing vehicle rollover simulation using the high-precision multi-body dynamics model and obtaining a rollover velocity signal curve and a rollover angular velocity signal curve using the simulation sensor include: Establish a simulation translation test bench; Establishing a wheel hub geometry model and a road shoulder barrier geometry model in the high-precision multi-body dynamics model; The vehicle is controlled to move sideways by the simulation translation test bench so that the shoulder barrier geometric model contacts the wheel hub geometric model to perform lateral tripping simulation, and a rollover velocity signal curve and a rollover angular velocity signal curve are obtained by the simulation sensor.

5. The method according to claim 4, wherein The step of establishing the wheel hub geometric model and the road shoulder barrier geometric model in the high-precision multi-body dynamics model comprises: Acquiring hub radius parameters, and establishing a hub geometric model according to the hub radius parameters; Obtain position parameters, and create a shoulder barrier geometric model based on the position parameters, a preset height, and a preset width.

6. The method according to claim 4, wherein After the step of establishing the wheel hub geometric model and the road shoulder barrier geometric model in the high-precision multi-body dynamics model, the method further includes: Performing a penetration test on the wheel hub geometric model and the shoulder barrier geometric model, and when the distance between the wheel hub geometric model and the shoulder barrier geometric model is less than a preset value, the wheel hub geometric model and the shoulder barrier geometric model are in contact; The translation test bench is driven laterally, and the starting position of the shoulder barrier geometric model is adjusted so that the shoulder barrier geometric model and the wheel hub geometric model are in contact with each other when the vehicle lateral movement speed is zero.

7. The method according to claim 1, wherein The step of obtaining the rollover critical angle at different rollover speeds through the rollover speed signal curve and the rollover angular velocity signal curve, and determining the airbag triggering angle when the vehicle rolls over according to the rollover critical angle includes: Obtaining a plurality of initial rollover critical angles at different rollover speeds through the rollover speed signal curve and the rollover angular velocity signal curve; The multiple initial rollover critical angles are screened and calculated to obtain rollover critical angles at different rollover speeds, and the airbag triggering angle when the vehicle rolls over is determined based on the rollover critical angles.

8. A device for determining the triggering angle of an airbag when a vehicle rolls over, characterized in that: The device comprises: an acquisition module, configured to acquire vehicle design parameters, build an initial vehicle multi-body dynamics simulation model based on the vehicle design parameters, and establish simulation sensors at preset positions in the initial vehicle multi-body dynamics simulation model; A construction module is used to obtain the vehicle's mass, relative center of mass position, and moment of inertia parameters, and optimize the initial vehicle multi-body dynamics simulation model based on the mass, relative center of mass position, and moment of inertia parameters to build a high-precision multi-body dynamics model. The mass, relative center of mass position, and moment of inertia parameters are obtained through a real vehicle test bench; A simulation module, configured to simulate a vehicle rollover using the high-precision multi-body dynamics model, and obtain a rollover velocity signal curve and a rollover angular velocity signal curve using the simulation sensor; The determination module is used to obtain a rollover critical angle at different rollover speeds through the rollover speed signal curve and the rollover angular velocity signal curve, and determine an airbag triggering angle when the vehicle rolls over according to the rollover critical angle.

9. A device for determining the triggering angle of an airbag when a vehicle rolls over, characterized in that: The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for determining the airbag triggering angle when a vehicle rolls over as claimed in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the method for determining the airbag triggering angle when the vehicle rolls over according to any one of claims 1 to 7 is implemented.