A vehicle active and passive integrated safety simulation test method, medium and device

Abstract

The application relates to a vehicle active and passive integrated safety simulation test method, medium and equipment, which comprises the following steps: S1: preset simulation environment parameters and test requirements are acquired, and a virtual simulation environment is constructed; S2: according to the test requirements, test parameters of a simulation vehicle and test parameters of a virtual person are determined, and initial parameters of the simulation vehicle and the virtual person in the virtual simulation environment are updated respectively, state parameters of the simulation vehicle include control system parameters and state structure parameters of the simulation vehicle; S3: state parameters of the virtual person and state parameters of the simulation vehicle after a preset time are acquired; S4: the state parameters acquired in S3 after preprocessing are analyzed to determine a safety performance analysis result of the simulation vehicle within the preset time; and S5: according to the analysis result, the state parameters of the simulation vehicle are updated to make the first analysis result reach a preset value, so that the active and passive safety performance of the simulation vehicle is obtained. The application can simultaneously test the active and passive system safety performance of the vehicle.

Description

Technical Field

[0001] The present invention relates to the field of automobile testing, and in particular to a vehicle active and passive integrated safety simulation test method, medium and equipment. Background Art

[0002] With the rapid development of the automotive industry, improving vehicle safety performance has become a global focus. Traditional vehicle safety testing mainly relies on actual road testing and physical model experiments. Although these methods can evaluate the safety performance of vehicles to a certain extent, they also have many limitations. First, actual road testing is time-consuming and costly, and it is difficult to cover all possible driving scenarios and potentially dangerous situations. Second, although physical model experiments can simulate collision scenarios to a certain extent, they are less flexible and cannot quickly adjust test parameters to adapt to different testing needs. In addition, active safety systems and passive safety systems usually need to be tested separately, which makes it impossible to achieve a comprehensive evaluation of the vehicle's overall safety performance. These problems not only limit the efficiency of testing, but also affect the comprehensiveness and accuracy of test results.

[0003] In actual road testing, testers need to drive the vehicle on real roads to simulate various possible collision scenarios. This is not only highly dangerous, but also difficult to control the test environment. For example, factors such as weather conditions and traffic flow will affect the test results. In addition, actual road testing requires a lot of time and manpower, and the testing cost is high. Although physical model experiments can be conducted in a laboratory environment, the scenarios they simulate are relatively limited and cannot fully reproduce the complex situations during a real collision. For example, the dynamic behavior of the vehicle during a collision and the stress conditions on the occupants are difficult to accurately simulate through physical model experiments.

[0004] With the continuous advancement of automotive intelligence and autonomous driving technology, the complexity of vehicle safety systems is also increasing. Modern vehicles are not only equipped with traditional passive safety systems such as airbags and seatbelts, but also integrate a variety of active safety systems such as automatic emergency braking and lane keeping assist. These active safety systems must make real-time decisions in complex traffic environments to prevent accidents or mitigate their severity. Therefore, traditional testing methods are no longer able to meet the safety testing requirements of modern vehicles. A more efficient, comprehensive, and accurate testing method is needed to evaluate the overall safety performance of vehicles. Summary of the Invention

[0005] The purpose of the present invention is to provide a vehicle active and passive integrated safety simulation test method, medium and equipment to solve the problem that the test results in the prior art are not comprehensive enough.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0007] A vehicle active and passive integrated safety simulation test method, comprising the following steps:

[0008] S1: Construct a virtual simulation environment according to the initial state parameters of the simulation vehicle and the initial state parameters of the virtual person, the virtual simulation environment including the simulation vehicle running and the virtual person walking;

[0009] S2: Replace the initial state parameters of the simulation vehicle and the initial state parameters of the virtual person in the virtual simulation environment with the test parameters of the simulation vehicle and the test parameters of the virtual person in the preset test requirements respectively, the test parameters of the simulation vehicle including the control system parameters of the simulation vehicle and the state structure parameters of the simulation vehicle;

[0010] S3: After the virtual simulation environment runs for a preset time, obtain the state parameters of the virtual person and the state parameters of the simulation vehicle;

[0011] S4: Preprocess the state parameters of the virtual person and the state parameters of the simulation vehicle obtained in S3, and analyze the preprocessed state parameters of the virtual person and the state parameters of the simulation vehicle to obtain the safety system analysis score result of the simulation vehicle in the preset time;

[0012] S5: According to the safety system analysis score result, update the state parameters of the simulation vehicle, and repeat steps S3-S4 until the safety system analysis score result reaches a preset value, stop updating the state parameters of the simulation vehicle, and obtain the safety system analysis score result and the state parameters of the simulation vehicle reaching the preset value to determine the performance of the active and passive safety system of the simulation vehicle.

[0013] According to the above technical means, the preset simulation environment parameters and test requirements are obtained, the vehicle and pedestrian collision test is carried out in the virtual scene, and the parameters of the simulation vehicle and the parameters of the simulation environment can be dynamically adjusted in the virtual scene according to the test requirements, so that the whole test process is more flexible and reusable.

[0014] The state parameters of the simulation vehicle include structure state parameters of a vehicle body of the simulation vehicle and control system parameters of the simulation vehicle, wherein the structure state parameters of the vehicle body of the simulation vehicle represent a passive safety system of the simulation vehicle, and the control system parameters of the simulation vehicle represent an active safety system of the simulation vehicle, and the analysis result includes safety system performance analysis of the passive safety system of the simulation vehicle and / or active safety system performance analysis of the simulation vehicle, so that the safety performance of the active safety system and / or the passive safety system of the simulation vehicle can be tested according to the simulation simulation vehicle and the virtual character in the collision process, respectively or simultaneously. The whole test is carried out in a virtual environment. Compared with the traditional on-site whole vehicle test, the environment of the test process can be changed by adjusting the virtual environment parameters, and the performance of the active and passive safety systems of the simulation vehicle can be optimized by adjusting the parameters of the vehicle control system and the vehicle body structure, so that the test environment coverage in the test process is wider, and the test process is more comprehensive and the test result is more accurate.

[0015] Further, the safety system analysis score result of the simulation vehicle in S4 includes an analysis score result of the active safety performance of the simulation vehicle and an analysis score result of the passive safety performance of the simulation vehicle, wherein the analysis score result of the passive safety performance of the simulation vehicle is a first analysis score result, and the analysis score result of the active safety performance of the simulation vehicle is a second analysis score result.

[0016] According to the above technical means, by dividing the safety system analysis result of the simulation vehicle into two parts of active safety performance and passive safety performance, the overall safety performance of the vehicle can be comprehensively evaluated, and more abundant data support is provided, and the effectiveness of the vehicle safety system can be evaluated from two dimensions of active safety performance and passive safety performance.

[0017] Further, the obtaining of the first analysis result in S4 specifically includes the following steps:

[0018] S41: determining, from the preprocessed state parameters of the virtual character and the state structure parameters of the simulation vehicle, a collision parameter of the simulation vehicle and the virtual character in the virtual simulation environment, wherein the collision parameter at least includes a deformation parameter of a front structure of the simulation vehicle;

[0019] S42: determining, according to the deformation parameter of the front structure of the simulation vehicle, a damage result of the virtual character caused by the front structure of the simulation vehicle, to obtain a damage score result of the virtual character caused by the front structure of the simulation vehicle, wherein the damage score result is the first analysis score result.

[0020] According to the above technical means, the damage result of the front structure of the simulation vehicle on the virtual character is determined through the deformation parameter of the front structure of the simulation vehicle, and the performance of the passive safety system of the simulation vehicle in the test scene can be obtained by analyzing the structural deformation parameter of the contact part of the simulation vehicle and the virtual character. The damage result of the simulation vehicle structure on the virtual character is obtained by combining the structural deformation parameter of the simulation vehicle and the damage result of the virtual character, so that the damage result is more comprehensive and accurate.

[0021] Further, in S5, the state parameter of the simulation vehicle is updated according to the safety system analysis score result, specifically including:

[0022] According to the first analysis result, the deformation parameter of the front structure of the simulation vehicle that needs to be adjusted is determined, and the state structure parameter of the simulation vehicle is replaced according to the deformation parameter of the front structure of the simulation vehicle that needs to be adjusted.

[0023] According to the above technical means, by dynamically updating the deformation parameter of the front structure of the simulation vehicle, the behavior of the vehicle in the collision process can be more accurately simulated, thereby improving the accuracy and reliability of the simulation and providing test results closer to actual accidents.

[0024] Further, the damage result of the front structure of the simulation vehicle on the virtual character at least includes head injury, lower limb injury and chest injury of the virtual character.

[0025] According to the above technical means, by explicitly specifying that the damage result of the simulation vehicle on the virtual character at least includes head injury, lower limb injury and chest injury, the damage assessment of the virtual character is more comprehensive, and various types of injuries that the human body may suffer in a collision accident can be more accurately reflected, thereby providing detailed data support for the design and optimization of the passive safety system of the simulation vehicle.

[0026] Further, the second analysis result is obtained specifically including the following steps:

[0027] S43: From the state parameters of the virtual character and the simulation vehicle, the position parameters and speed parameters of the simulation vehicle in the virtual simulation environment, and the position parameters and speed parameters of the virtual character are obtained to obtain the state and position relationship of the simulation vehicle and the virtual character;

[0028] S44: According to the position parameters and speed parameters of the simulation vehicle and the position parameters and speed parameters of the virtual character, the collision risk information of the simulation vehicle and the virtual character is analyzed, and the collision risk information is analyzed to obtain a collision risk information score result. The collision risk information score result is the second analysis score result.

[0029] According to the above technical means, by acquiring the position parameters and speed parameters of the simulation vehicle and the virtual character, the relative position and motion state between the simulation vehicle and the virtual character can be analyzed in advance, so as to evaluate the collision risk; the state parameters of the simulation vehicle running in the virtual simulation environment are acquired from the state parameters of the simulation vehicle, the state parameters of the virtual character running in the virtual simulation environment are acquired from the state parameters of the virtual character, the state parameters of the simulation vehicle running and the state parameters of the virtual character running are analyzed,

[0030] Further, according to the safety system analysis score result, the state parameters of the simulation vehicle are updated, specifically including:

[0031] According to the second analysis result, the control parameters that need to be adjusted in the control system parameters of the simulation vehicle are determined, so that the control system updates the speed parameters of the simulation vehicle according to the control parameters.

[0032] According to the above technical means, by analyzing the position and speed parameters of the simulation vehicle and the virtual character, the interaction between the simulation vehicle and the virtual character in the virtual simulation environment can be more comprehensively evaluated. The change degree of the control system of the simulation vehicle to the running state of the simulation vehicle during the running of the simulation vehicle can be analyzed to test the performance of the control system, that is, the performance of the active safety system of the simulation vehicle.

[0033] Further, the preprocessing in S4 includes data cleaning, data normalization and data classification.

[0034] According to the above technical means, by the data cleaning step, the error, missing or unreasonable data points generated in the simulation process can be identified and excluded, so that the state parameters of the virtual character and the state parameters of the simulation vehicle after the preset time are more accurate and reliable; different types of data are normalized, so that they can be compared and analyzed on the same scale; the state parameters of the virtual character and the state parameters of the simulation vehicle after the preset time are classified according to different indexes, which simplifies the analysis process and makes the analysis result more accurate.

[0035] Further, a computer readable storage medium, the storage medium stores a computer program, the computer program is executed by a processor to realize the above-mentioned vehicle active and passive integrated safety test virtual simulation method.

[0036] Further, an electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executes the program to realize the above-mentioned vehicle active and passive integrated safety test virtual simulation method.

[0037] The beneficial effects of the present application are:

[0038] 1. Obtain preset simulation environment parameters and test requirements, and perform vehicle and pedestrian collision test in a virtual scene. The parameters of the simulation vehicle and the parameters of the simulation environment can be dynamically adjusted in the virtual scene according to the test requirements, so that the entire test process is more flexible and reusable.

[0039] 2. The state parameters of the simulation vehicle include the structural state parameters of the body of the simulation vehicle and the control system parameters of the simulation vehicle. The structural state parameters of the body of the simulation vehicle represent the passive safety system of the simulation vehicle, and the control system parameters of the simulation vehicle represent the active safety system of the simulation vehicle. The analysis result includes safety system performance analysis of the passive safety system of the simulation vehicle and / or active safety system performance analysis of the simulation vehicle, so that the safety performance of the active safety system and / or the passive safety system of the simulation vehicle can be tested respectively or simultaneously according to the situation of the simulation vehicle and the virtual character in the collision process.

[0040] 3. The entire test is performed in a virtual environment. Compared with traditional on-site whole vehicle testing, the virtual environment parameters can be adjusted to change the environment of the test process, and the parameters of the vehicle control system and the body structure can be adjusted to optimize the performance of the active and passive safety systems of the simulation vehicle. This not only makes the test environment cover a wider range in the test process, but also makes the test process more comprehensive and the test result more accurate. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 The specific flowchart of the embodiment one of the present application.

[0042] Figure 2 The specific implementation flowchart of the embodiment one of the present application.

[0043] Figure 3 The specific flowchart of obtaining the analysis result of the embodiment one of the present application. DETAILED DESCRIPTION

[0044] Other advantages and benefits of the present application will become apparent to those skilled in the art upon consideration of the disclosure or can be learned by practice of the application. The application can be realized and achieved by means as broadly as set forth herein and in its various embodiments and applications. Various modifications in detail of the application can be made without departing from the spirit thereof, the application is to be limited only by the scope of the appended claims appropriately interpreted in accordance with the doctrine of equivalents. It should be understood, therefore, that the preferred embodiments are merely illustrative of the present application and are not to be taken in a limiting sense. It is to be further understood that the drawings are not necessarily drawn to scale and that, unless otherwise indicated, they are merely intended to aid in the description of the principles of the application. The drawings that form a part of this disclosure, and which are incorporated in and constitute a part of the specification, illustrate one or more embodiments of the present application and, together with the description, serve to explain the principles of the application. It is to be understood that other specific arrangements of parts and configurations can be utilized or derived therefrom without departing from the spirit and scope of the present application. It is intended that all such modifications and variations be included within the scope of the application.

[0045] Embodiment One

[0046] As shown in the embodiment, the vehicle active and passive integrated safety simulation test method includes the following steps: Figure 1

[0047] S1: Construct a virtual simulation environment according to initial state parameters of the simulation vehicle and initial state parameters of the virtual person, the virtual simulation environment including the simulation vehicle and the virtual person;

[0048] S2: Replace the initial state parameters of the simulation vehicle and the initial state parameters of the virtual person in the virtual simulation environment with test parameters of the simulation vehicle and test parameters of the virtual person in the preset test requirements, the test parameters of the simulation vehicle including control system parameters and state structure parameters of the simulation vehicle;

[0049] S3: After the virtual simulation environment runs for a preset time, obtain state parameters of the virtual person and state parameters of the simulation vehicle;

[0050] S4: Preprocess the state parameters of the virtual person and the state parameters of the simulation vehicle obtained in S3, and analyze the preprocessed state parameters of the virtual person and the state parameters of the simulation vehicle to obtain a safety system analysis score result of the simulation vehicle within the preset time;

[0051] S5: According to the safety system analysis score result, update the state parameters of the simulation vehicle, and repeat steps S3-S4 until the safety system analysis score result reaches a preset value, stop updating the state parameters of the simulation vehicle, and obtain the safety system analysis score result reaching the preset value and the state parameters of the simulation vehicle to determine the performance of the active and passive safety system of the simulation vehicle.

[0052] ​Obtain preset simulation environment parameters and test requirements, conduct vehicle-pedestrian collision tests in a virtual scene, and dynamically adjust the parameters of the simulation vehicle and the simulation environment according to the test requirements in the virtual scene, making the entire test process more flexible and repeatable.

[0053] The state parameters of the simulated vehicle include structural state parameters of the body of the simulated vehicle and control system parameters of the simulated vehicle, wherein the structural state parameters of the body of the simulated vehicle represent the passive safety system of the simulated vehicle, and the control system parameters of the simulated vehicle represent the active safety system of the simulated vehicle. The analysis results include a safety system performance analysis of the passive safety system of the simulated vehicle and / or a performance analysis of the active safety system of the simulated vehicle, so that during a collision process, the safety performance of the active safety system and / or the passive safety system of the simulated vehicle can be tested separately or simultaneously according to the simulated situation of the simulated vehicle and the virtual character.

[0054] The entire test is carried out in a virtual environment. Compared with traditional on-site vehicle testing, it is possible to change the testing environment by adjusting the virtual environment parameters, as well as adjusting the parameters of the vehicle control system and body structure to optimize the active and passive safety system performance of the simulated vehicle. This not only makes the test environment coverage wider during the test process, but also makes the test process more comprehensive and the test results more accurate.

[0055] like Figure 2 As shown, A represents the final state parameters of the simulated vehicle, B represents the final state parameters of the virtual character, and C represents the analysis results, that is, the active and passive safety system performance of the simulated vehicle. First, a virtual environment is built. At this time, the state parameters of the simulated car are initialized to A0, and the state parameters of the virtual character are initialized to B0. Then, A0 is replaced by the state parameters A1 of the simulated car in the test requirements, and B0 is replaced by the state parameters B1 of the virtual character in the test requirements. At this time, the system is run for a period of time, and the relevant parameters are obtained and analyzed. The safety system analysis score result Cn of the simulated car under this test requirement is obtained. It is judged whether Cn is not less than the preset value of the safety system analysis score result of the preset simulated car. If it is met, the training is stopped and A (i.e., A1) and C (i.e., Cn) at this time are output; if it is not met, the state parameters that need to be updated in the simulated car are analyzed according to Cn, and A1 is replaced by the new state parameters A(2) of the simulated car and run to obtain a new Cn until Cn is not less than the preset value of the safety system analysis score result, and A and C at this time are output, where n represents the number of runs. Finally, the active and passive safety system performance of the simulated car can be determined based on the safety system analysis score result that reaches the preset value and the state parameters of the simulated car.

[0056] Preferably, the simulation environment parameters include road condition corresponding parameters and weather condition corresponding parameters. The road condition corresponding parameters include road slope variation parameters (e.g. length parameters of uphill road sections, inclination angle parameters of downhill road sections, and length parameters of flat road sections), road lane width parameters (e.g. width parameters of single-lane roads, width parameters of double-lane roads, and width parameters of multi-lane roads), road surface types (e.g. asphalt, concrete, and gravel roads), road markings (e.g. lane lines, pedestrian crossings, and stop lines), road surface damage types (e.g. potholes and cracks), road surface condition types, and traffic sign types (e.g. speed limit signs, stop signs, and no-passing signs). The weather condition corresponding parameters include different weather types, light conditions in different time periods, rainfall intensity parameters, snowfall parameters, wind speed, wind direction, temperature, and fog conditions with different visibility.

[0057] Preferably, the simulation vehicle state structure parameters include vehicle dynamics parameters, tire parameters, suspension system parameters, steering system parameters, braking system parameters, and powertrain system parameters. The tire parameters are used to represent the contact mechanics characteristics of the tire and the ground, including longitudinal force, lateral force, and spin torque. The suspension system parameters are used to represent the dynamic response of the vehicle under different road conditions. The steering system parameters are used to represent the handling performance of the vehicle, including steering ratio and steering assist. The braking system parameters are used to represent the braking performance of the vehicle, including brake disc, brake pad, and brake hydraulic pressure. The powertrain system parameters are used to represent the characteristics of the engine, transmission, drive shaft, and other powertrain systems, to reflect the power output and acceleration performance of the vehicle.

[0058] Preferably, the simulation vehicle state structure parameters also include vehicle body structure parameters, including vehicle body geometry corresponding parameters, material property corresponding parameters, and internal structure corresponding parameters. The vehicle body geometry corresponding parameters include detailed vehicle body models based on actual vehicle geometry data, including vehicle head, vehicle tail, vehicle door, and vehicle window parts. The material property corresponding parameters include material properties of each part of the vehicle body, such as stiffness, strength, and density, which can simulate the deformation behavior of the vehicle in a collision. The internal structure corresponding parameters include the internal structure of the vehicle, such as the instrument panel, seat, and seat belt, which can be used to evaluate the protection effect of the occupants in a collision, i.e. the active safety performance of the simulation vehicle.

[0059] Preferably, the control system parameters of the simulation vehicle further include crash mechanics parameters, including crash force parameters, secondary crash parameters and restraint system parameters, the crash force parameters are used to simulate the crash force between the vehicle and the pedestrian, including the crash angle, the contact point, the crash speed, etc., to evaluate the force condition of the pedestrian during the crash process; the secondary crash parameters are used to simulate the secondary crash of the pedestrian and the front structure of the vehicle, such as the head and the windshield or the hood, to evaluate the risk of head injury of the pedestrian; the restraint system parameters simulate the role of passive safety devices such as seat belts and airbags in the crash, and evaluate the protection effect on the occupant, i.e. the passive safety performance of the simulation vehicle.

[0060] Preferably, the test parameters of the virtual person further include behavior parameters, including walking speed parameters, reaction time parameters, avoidance behavior parameters and walking posture parameters, wherein the avoidance behavior parameters define the avoidance behavior of the pedestrian when encountering the vehicle, including stopping, turning and accelerating actions; the walking posture parameters are used to define the walking posture of the pedestrian, such as upright, forward leaning, backward leaning, left leaning and right leaning, to reflect different walking states.

[0061] Preferably, the test parameters of the virtual person further include behavior parameters, including walking speed parameters, reaction time parameters, avoidance behavior parameters and walking posture parameters, wherein the avoidance behavior parameters define the avoidance behavior of the pedestrian when encountering the vehicle, including stopping, turning and accelerating actions; the walking posture parameters are used to define the walking posture of the pedestrian, such as upright, forward leaning, backward leaning, left leaning and right leaning, to reflect different walking states.

[0062] In the embodiment, the safety system analysis result of the simulation vehicle in S4 includes an analysis result of the active safety performance of the simulation vehicle and an analysis result of the passive safety performance of the simulation vehicle, wherein the analysis result of the active safety performance of the simulation vehicle is the first analysis result, and the analysis result of the passive safety performance of the simulation vehicle is the second analysis result. By dividing the safety system analysis result of the simulation vehicle into active safety performance and passive safety performance, the overall safety performance of the vehicle can be comprehensively evaluated, and more abundant data support can be provided to evaluate the effectiveness of the vehicle safety system from two dimensions of active safety performance and passive safety performance.

[0063] As shown in Figure 1 and Figure 3 In the embodiment, the acquisition of the first analysis result in S4 specifically includes the following steps:

[0064] S41: determining collision parameters of the simulation vehicle and the virtual character in the virtual simulation environment from the state parameters of the pre-processed virtual character and the state structure parameters of the simulation vehicle, the collision parameters at least including deformation parameters of the front structure of the simulation vehicle;

[0065] S42: determining damage results of the front structure of the simulation vehicle to the virtual character according to the deformation parameters of the front structure of the simulation vehicle, as the first analysis results.

[0066] The damage results of the front structure of the simulation vehicle to the virtual character are determined through the deformation parameters of the front structure of the simulation vehicle, and the structural deformation parameters of the contact part of the simulation vehicle and the virtual character are analyzed, so that the performance of the passive safety system of the simulation vehicle in the test scene can be obtained. The structural deformation parameters of the simulation vehicle and the damage results of the virtual character are combined to obtain the damage results of the simulation vehicle structure to the virtual character, so that the damage results are more comprehensive and accurate.

[0067] Preferably, the deformation parameters include vehicle body geometry, material properties, and internal structure, wherein the vehicle body geometry includes detailed vehicle body models based on actual vehicle geometry data, including the front, rear, doors, and windows; wherein the material properties include defining the material properties of each part of the vehicle body, such as stiffness, strength, and density, to simulate the deformation behavior of the vehicle in a collision; and wherein the internal structure includes considering the internal structure of the vehicle, such as the dashboard, seats, and seat belts, to evaluate the protection effect of the occupants in a collision.

[0068] Preferably, the first analysis results include structural deformation analysis and restraint system analysis, wherein the structural deformation analysis uses finite element analysis software, such as the dynamic analysis finite element program (LS-DYNA), to simulate the deformation of the vehicle front structure (such as the bumper and the hood) in a collision, to evaluate its protection effect on pedestrians; and wherein the restraint system analysis includes evaluating the effect of the vehicle's passive safety system (airbags and pedestrian protection devices) in a collision to ensure that it can effectively reduce the injury of pedestrians.

[0069] In this embodiment, the state parameters of the simulation vehicle are updated according to the safety system analysis score results in S5, specifically including: determining the deformation parameters of the front structure of the simulation vehicle that need to be adjusted according to the first analysis results, and replacing the state structure parameters of the simulation vehicle with the deformation parameters of the front structure of the simulation vehicle that need to be adjusted. By dynamically updating the deformation parameters of the front structure of the simulation vehicle, the behavior of the vehicle in the collision process can be more accurately simulated, thereby improving the accuracy and reliability of the simulation and providing test results closer to actual accidents.

[0070] In this embodiment, the damage result of the front structure of the simulation vehicle on the virtual character at least includes head injury, lower limb injury and chest injury of the virtual character. By explicitly indicating that the damage result of the simulation vehicle on the virtual character at least includes head injury, lower limb injury and chest injury, the damage assessment of the virtual character is more comprehensive, and various types of injuries that the human body may suffer in a collision accident can be more accurately reflected, thereby providing detailed data support for the design and optimization of the passive safety system of the simulation vehicle.

[0071] As shown in Figure 1 and Figure 3 The acquisition of the second analysis result specifically includes the following steps:

[0072] S43: From the state parameters of the virtual character and the state parameters of the simulation vehicle, the position parameters and speed parameters of the simulation vehicle in the virtual simulation environment and the position parameters and speed parameters of the virtual character are acquired to acquire the state and position relationship of the simulation vehicle and the virtual character;

[0073] S44: According to the position parameters and speed parameters of the simulation vehicle and the position parameters and speed parameters of the virtual character, the collision risk information of the simulation vehicle and the virtual character is analyzed, and the collision risk information is analyzed to obtain a collision risk information score result. The collision risk information score result is a second analysis score result.

[0074] By acquiring the position parameters and speed parameters of the simulation vehicle and the virtual character, the relative position and motion state between the simulation vehicle and the virtual character can be analyzed in advance, so as to evaluate the collision risk; the running state parameters of the simulation vehicle in the virtual simulation environment are acquired from the state parameters of the simulation vehicle, and the running state parameters of the virtual character in the virtual simulation environment are acquired from the state parameters of the virtual character. The running state parameters of the simulation vehicle and the running state parameters of the virtual character are analyzed.

[0075] In this embodiment, according to the safety system analysis score result, the state parameters of the simulation vehicle are updated, specifically including: according to the second analysis result, determining the control parameters that need to be adjusted in the control system parameters of the simulation vehicle, so that the control system updates the speed parameters of the simulation vehicle according to the control parameters. By analyzing the position and speed parameters of the simulation vehicle and the virtual character, the interaction between the simulation vehicle and the virtual character in the virtual simulation environment can be more comprehensively evaluated. The control system of the simulation vehicle can analyze the degree of change of the running state of the simulation vehicle during the running of the simulation vehicle, so as to test the performance of the control system, that is, the performance of the active safety system of the simulation vehicle.

[0076] In this embodiment, the preprocessing in S4 includes data cleaning, data normalization and data classification. Through the data cleaning step, the error, missing or unreasonable data points generated in the simulation process can be identified and excluded, so that the state parameters of the virtual character and the state parameters of the simulation vehicle after the preset time are more accurate and reliable; the different types of data are normalized, so that they can be compared and analyzed on the same scale; the state parameters of the virtual character and the state parameters of the simulation vehicle after the preset time are classified according to different indexes, which simplifies the analysis process and makes the analysis result more accurate.

[0077] Preferably, the classification index includes one or more of the accident type, the driving behavior mode and the external environmental factor.

[0078] Embodiment Two

[0079] A computer readable storage medium, the storage medium stores a computer program, the computer program is executed by the processor to realize the vehicle active and passive integrated safety simulation test method in embodiment one.

[0080] Embodiment Three

[0081] An electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executes the program to realize the vehicle active and passive integrated safety simulation test method in the above embodiment one.

[0082] The above embodiments 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 of the present application made by those skilled in the art based on the present application is within the protection scope of the present application.

Claims

1. A vehicle active and passive integrated safety simulation test method, characterized in that: The following steps are involved: S1: constructing a virtual simulation environment according to initial state parameters of the simulated vehicle and initial state parameters of the virtual character, wherein the virtual simulation environment includes a moving simulated vehicle and a moving virtual character; S2: replacing initial state parameters of the simulated vehicle and initial state parameters of the avatar in the virtual simulation environment according to test parameters of the simulated vehicle and test parameters of the avatar in preset test requirements, respectively, wherein the test parameters of the simulated vehicle include control system parameters of the simulated vehicle and state structure parameters of the simulated vehicle; S3: After the virtual simulation environment runs for a preset time, the state parameters of the virtual character and the state parameters of the simulation vehicle are obtained; S4: pre-processing the state parameters of the virtual character and the state parameters of the simulated vehicle obtained in S3, and analyzing the pre-processed state parameters of the virtual character and the state parameters of the simulated vehicle to obtain a safety system analysis score result of the simulated vehicle within the preset time; The safety system analysis and scoring result of the simulated vehicle in S4 includes an analysis and scoring result of the active safety performance of the simulated vehicle and an analysis and scoring result of the passive safety performance of the simulated vehicle, wherein the analysis and scoring result of the passive safety performance of the simulated vehicle is a first analysis and scoring result, and the analysis and scoring result of the active safety performance of the simulated vehicle is a second analysis and scoring result; The acquisition of the first analysis result in S4 specifically includes the following steps: S41: determining collision parameters between the simulated vehicle and the avatar in the virtual simulation environment from the pre-processed state parameters of the avatar and the state structure parameters of the simulated vehicle, wherein the collision parameters at least include deformation parameters of the front structure of the simulated vehicle; S42: determining, based on the deformation parameters of the front structure of the simulated vehicle, a damage result of the front structure of the simulated vehicle on the virtual character, to obtain a damage score result of the front structure of the simulated vehicle on the virtual character, wherein the damage score result is the first analysis score result; The acquisition of the second analysis result specifically includes the following steps: S43: acquiring position parameters and speed parameters of the simulated vehicle in the virtual simulation environment, as well as position parameters and speed parameters of the virtual character, from the state parameters of the virtual character and the state parameters of the simulated vehicle, to obtain the state and position relationship between the simulated vehicle and the virtual character; S44: Analyzing collision risk information of the simulated vehicle and the virtual character based on the position parameter and speed parameter of the simulated vehicle and the position parameter and speed parameter of the virtual character, analyzing the collision risk information to obtain a collision risk information scoring result, where the collision risk information scoring result is the second analysis scoring result; S5: Based on the safety system analysis and scoring result, update the state parameters of the simulated vehicle, and repeat steps S3-S4 until the safety system analysis and scoring result reaches a preset value, stop updating the state parameters of the simulated vehicle, and obtain the safety system analysis and scoring result that reaches the preset value and the state parameters of the simulated vehicle to determine the active and passive safety system performance of the simulated vehicle.

2. A vehicle active and passive integrated safety simulation test method according to claim 1, characterized in that: In S5, the state parameters of the simulated vehicle are updated according to the safety system analysis and scoring results, specifically including: According to the first analysis result, deformation parameters of the front structure of the simulated vehicle that need to be adjusted are determined, and the state structure parameters of the simulated vehicle are replaced according to the deformation parameters of the front structure of the simulated vehicle that need to be adjusted.

3. A vehicle active and passive integrated safety simulation test method according to claim 1, characterized in that: The damage results of the front structure of the simulated vehicle on the virtual character at least include head damage, lower limb damage and chest damage of the virtual character.

4. The vehicle active and passive integrated safety simulation test method according to claim 1, characterized in that: According to the safety system analysis and scoring results, the state parameters of the simulation vehicle are updated, specifically including: According to the second analysis result, the control parameters that need to be adjusted in the control system parameters of the simulated vehicle are determined, so that the control system updates the speed parameters of the simulated vehicle according to the control parameters.

5. The vehicle active and passive integrated safety simulation test method according to claim 1, characterized in that: The preprocessing in S4 includes data cleaning, data normalization and data classification.

6. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method according to any one of claims 1 to 5.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 5 when executing the program.

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