Acceleration signal simulation method and device, medium and equipment

Abstract

The invention discloses an acceleration signal simulation method and device, a medium and equipment. According to the invention, CAE acceleration signal simulation software is utilized to construct an initial acceleration sensor with built-in beam units, and the beam units are specially designed to be used for simulating the rigidity characteristics of the sensor. Then, according to a series of preset parameters, the initial sensor model is finely adjusted, including keyword parameters of control signal acquisition, connection type parameters of a sensor and a vehicle structure and output parameters of output acceleration signals, so that an accurate acceleration sensor model is obtained. Finally, the model is simulated according to the preset performance threshold values, it is ensured that the model can adjust the collection frequency according to the threshold values, the acceleration signal meeting the expected standard is accurately output, and high precision and high stability of the simulation signal are achieved.

Description

Technical Field

[0001] The present invention relates to the field of acceleration signal simulation, and in particular to an acceleration signal simulation method, device, medium and equipment. Background Art

[0002] In the field of automotive safety performance development, it is crucial to accurately simulate and analyze the dynamic response of the vehicle during a collision. As a key component for capturing vehicle collision acceleration signals, the performance of CAE accelerometers directly affects the accuracy of collision simulation and the reliability of vehicle safety performance evaluation. Traditional collision safety computer-aided engineering (CAE) processes mainly focus on developing safer structural designs. In this process, the use of acceleration signals is often limited to macro-level assessments of dummy injuries and mainly relies on signals after low-frequency filtering.

[0003] In terms of technical implementation, the conventional CAE acceleration sensor modeling method adopts hexahedral Shell unit modeling, and uses MAT20 rigid body material constitutive model to create an accelerometer unit *ELEMENT_SEATBELT_ACCELEROMETER on the upper surface. The acceleration signal output point is the N1 point of the accelerometer unit, and the CAE acceleration sensor is rigidly connected to the car body. Although this method can provide basic acceleration signals, the accuracy of the acceleration signal output in the simulation model, especially the high-frequency signal of about 300Hz, cannot meet the requirements of the safety dynamic model (SDM) algorithm calibration. Especially in the case of low-speed collision, there is a large difference between the acceleration signals of CAE simulation and physical experiments, which reduces the credibility of the simulation results.

[0004] In addition, the CAE acceleration sensor signal acquisition process in physical experiments needs to have high robustness to accurately reflect the real acceleration signal of the vehicle. However, the current simulation method fails to fully consider the influence of parameters such as signal acquisition algorithm control parameters, connection method, signal output method, signal acquisition frequency, CAE acceleration sensor physical properties (such as stiffness and mass), and CAE acceleration sensor mounting surface stiffness characteristics on signal fluctuations. These influences make it impossible for existing technologies to simulate high-precision and high-robustness acceleration signals. Summary of the invention

[0005] The present invention provides an acceleration signal simulation method, device, medium and equipment to solve the problem that an acceleration signal with high precision and high robustness cannot be simulated in the prior art.

[0006] In a first aspect, the present application provides an acceleration signal simulation method, comprising:

[0007] According to CAE acceleration signal simulation software, an initial acceleration sensor with built-in beam unit is constructed;

[0008] According to various preset parameters, keyword parameters of the initial acceleration sensor for controlling signal acquisition, connection type parameters of the initial acceleration sensor and the vehicle, and output parameters of the acceleration signal output by the initial acceleration sensor are adjusted to obtain an acceleration sensor model;

[0009] According to a preset threshold, the acceleration sensor model is simulated so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold.

[0010] This application uses CAE acceleration signal simulation software to build an initial acceleration sensor model with a built-in beam unit, and carefully adjusts the signal acquisition keyword parameters, the connection type parameters between the sensor and the vehicle structure, and the output parameters according to preset parameters, so as to achieve precise control of the acceleration sensor model. This precise control enables the simulation model to more accurately capture and simulate the acceleration changes of the vehicle in dynamic events, thereby outputting a smoother and more stable acceleration signal. Finally, simulation is performed according to a preset threshold, and the frequency is adjusted to optimize the output signal to ensure high precision and high robustness of the simulation results. This application solves the problem that high-precision and high-robustness acceleration signals cannot be simulated in the prior art.

[0011] As a preferred embodiment of the first aspect, the acceleration sensor model is simulated according to a preset threshold so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold, specifically:

[0012] The acceleration sensor model is simulated according to a preset threshold and a preset signal acquisition frequency parameter, so that the acceleration sensor adjusts the acceleration signal acquisition frequency according to the preset signal acquisition frequency parameter and adjusts the preset frequency according to the preset threshold to output an acceleration signal.

[0013] In this preferred embodiment, the present application can accurately adjust the acquisition frequency of the acceleration signal by simulating the acceleration sensor model according to the preset threshold value and the signal acquisition frequency parameter, so as to match the preset signal acquisition frequency parameter. This adjustment ensures that the acceleration sensor can collect data at an optimized frequency during the simulation process, thereby outputting an acceleration signal that meets the preset threshold value. By accurately matching the acquisition frequency with the preset parameters, the present application can reduce data redundancy and omissions, improve the quality and resolution of the data, and make the simulation results closer to the actual situation. Such simulation output not only improves the availability of data, but also enhances the accuracy and reliability of simulation analysis, which is crucial for subsequent data analysis, vehicle safety performance evaluation, and optimization of structural design.

[0014] As a preferred embodiment of the first aspect, the keyword parameter of the initial acceleration sensor for controlling signal acquisition, the connection type parameter between the initial acceleration sensor and the vehicle, and the output parameter of the acceleration signal output by the initial acceleration sensor are adjusted according to the preset parameters to obtain the acceleration sensor model, specifically:

[0015] According to a preset first parameter, adjusting a keyword parameter of the initial acceleration sensor for controlling signal acquisition, so that the acceleration sensor model can acquire a signal that meets the preset requirements;

[0016] According to a preset second parameter, adjusting a connection type parameter between the initial acceleration sensor and the vehicle so that the acceleration sensor model can obtain the influence of the vehicle structure deformation on the sensor reading;

[0017] According to the preset third parameter, the output parameter of the acceleration signal output by the initial acceleration sensor is adjusted so that the acceleration sensor model can output a coordinate system according to the preset output point.

[0018] In this preferred embodiment, the application adjusts the keyword parameter used to control signal acquisition in the initial acceleration sensor according to the preset first parameter, ensuring that the acceleration sensor model can collect signals that meet the preset requirements and improve the accuracy of signal acquisition; then, according to the preset second parameter, the connection type parameter between the acceleration sensor and the vehicle is adjusted, so that the model can accurately capture the impact of vehicle structural deformation on sensor readings, enhancing the authenticity of the simulation results; finally, according to the preset third parameter, the output parameter is adjusted, so that the acceleration sensor model can output the coordinate system according to the preset output point, ensuring the accuracy and consistency of the output data. The application can significantly improve the accuracy and reliability of acceleration signal simulation.

[0019] As a preferred embodiment of the first aspect, the initial acceleration sensor with a built-in beam unit is constructed according to CAE acceleration signal simulation software, specifically:

[0020] According to CAE acceleration signal simulation software, 16 beam units are constructed to adjust the stiffness characteristics of the acceleration sensor;

[0021] The 16 beam units are embedded in a hexahedron of a preset MAT20 rigid structure to obtain an initial acceleration sensor with 16 beam units built in.

[0022] In this preferred embodiment, the present application uses CAE acceleration signal simulation software to construct an initial acceleration sensor with 16 built-in beam units, which can accurately simulate the mechanical behavior of the acceleration sensor. Specifically, 16 beam units are first constructed according to the CAE software. These units are specially designed to adjust the stiffness characteristics of the acceleration sensor, so as to more realistically reflect the physical response of the sensor in actual applications. Then, these 16 beam units are embedded in the hexahedron of the preset MAT20 rigid structure to form an initial acceleration sensor model. This hybrid modeling method combines the flexibility of the beam unit and the rigidity of the hexahedron unit, so that the model can capture subtle dynamic changes while maintaining the stability of the overall structure. By accurately simulating the stiffness characteristics of the acceleration sensor, the present application can improve the accuracy and reliability of the acceleration signal in the simulation.

[0023] In a second aspect, the present application provides an acceleration signal simulation device. The acceleration signal simulation device includes a construction module, an adjustment module and a simulation module;

[0024] The construction module is used to construct an initial acceleration sensor with a built-in beam unit according to CAE acceleration signal simulation software;

[0025] The adjustment module is used to adjust the keyword parameters of the initial acceleration sensor for controlling signal acquisition, the connection type parameters between the initial acceleration sensor and the vehicle, and the output parameters of the acceleration signal output by the initial acceleration sensor according to various preset parameters to obtain an acceleration sensor model;

[0026] The simulation module is used to simulate the acceleration sensor model according to a preset threshold value, so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold value.

[0027] This device uses three modules to divide the work and coordinate work to better simulate the acceleration signal. This application uses CAE acceleration signal simulation software to build an initial acceleration sensor model with a built-in beam unit, and carefully adjusts the signal acquisition keyword parameters, the connection type parameters between the sensor and the vehicle structure, and the output parameters according to the preset parameters, so as to achieve precise control of the acceleration sensor model. This precise control enables the simulation model to more accurately capture and simulate the acceleration changes of the vehicle in dynamic events, thereby outputting a smoother and more stable acceleration signal. Finally, simulation is performed according to a preset threshold, and the frequency is adjusted to optimize the output signal to ensure high precision and high robustness of the simulation results. This application solves the problem that high-precision and high-robustness acceleration signals cannot be simulated in the prior art.

[0028] As a preferred embodiment of the second aspect, the acceleration sensor model is simulated according to a preset threshold so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold, specifically:

[0029] The acceleration sensor model is simulated according to a preset threshold and a preset signal acquisition frequency parameter, so that the acceleration sensor adjusts the acceleration signal acquisition frequency according to the preset signal acquisition frequency parameter and adjusts the preset frequency according to the preset threshold to output an acceleration signal.

[0030] In this preferred embodiment, the present application can accurately adjust the acquisition frequency of the acceleration signal by simulating the acceleration sensor model according to the preset threshold value and the signal acquisition frequency parameter, so as to match the preset signal acquisition frequency parameter. This adjustment ensures that the acceleration sensor can collect data at an optimized frequency during the simulation process, thereby outputting an acceleration signal that meets the preset threshold value. By accurately matching the acquisition frequency with the preset parameters, the present application can reduce data redundancy and omissions, improve the quality and resolution of the data, and make the simulation results closer to the actual situation. Such simulation output not only improves the availability of data, but also enhances the accuracy and reliability of simulation analysis, which is crucial for subsequent data analysis, vehicle safety performance evaluation, and optimization of structural design.

[0031] As a preferred embodiment of the second aspect, the keyword parameter of the initial acceleration sensor for controlling signal acquisition, the connection type parameter between the initial acceleration sensor and the vehicle, and the output parameter of the acceleration signal output by the initial acceleration sensor are adjusted according to the preset parameters to obtain the acceleration sensor model, specifically:

[0032] According to a preset first parameter, adjusting a keyword parameter for controlling signal acquisition in the initial acceleration sensor, so that the acceleration sensor model can acquire a signal that meets the preset requirements;

[0033] According to a preset second parameter, adjusting a connection type parameter between the initial acceleration sensor and the vehicle so that the acceleration sensor model can obtain the influence of the vehicle structure deformation on the sensor reading;

[0034] According to the preset third parameter, the output parameter of the acceleration signal output by the initial acceleration sensor is adjusted so that the acceleration sensor model can output a coordinate system according to the preset output point.

[0035] In this preferred embodiment, the application adjusts the keyword parameter used to control signal acquisition in the initial acceleration sensor according to the preset first parameter, ensuring that the acceleration sensor model can collect signals that meet the preset requirements and improve the accuracy of signal acquisition; then, according to the preset second parameter, the connection type parameter between the acceleration sensor and the vehicle is adjusted, so that the model can accurately capture the impact of vehicle structural deformation on sensor readings, enhancing the authenticity of the simulation results; finally, according to the preset third parameter, the output parameter is adjusted, so that the acceleration sensor model can output the coordinate system according to the preset output point, ensuring the accuracy and consistency of the output data. The application can significantly improve the accuracy and reliability of acceleration signal simulation.

[0036] As a preferred embodiment of the second aspect, the initial acceleration sensor with a built-in beam unit is constructed according to CAE acceleration signal simulation software, specifically:

[0037] According to CAE acceleration signal simulation software, 16 beam units are constructed to adjust the stiffness characteristics of the acceleration sensor;

[0038] The 16 beam units are embedded in a hexahedron of a preset MAT20 rigid structure to obtain an initial acceleration sensor with 16 beam units built in.

[0039] In this preferred embodiment, the present application uses CAE acceleration signal simulation software to construct an initial acceleration sensor with 16 built-in beam units, which can accurately simulate the mechanical behavior of the acceleration sensor. Specifically, 16 beam units are first constructed according to the CAE software. These units are specially designed to adjust the stiffness characteristics of the acceleration sensor, so as to more realistically reflect the physical response of the sensor in actual applications. Then, these 16 beam units are embedded in the hexahedron of the preset MAT20 rigid structure to form an initial acceleration sensor model. This hybrid modeling method combines the flexibility of the beam unit and the rigidity of the hexahedron unit, so that the model can capture subtle dynamic changes while maintaining the stability of the overall structure. By accurately simulating the stiffness characteristics of the acceleration sensor, the present application can improve the accuracy and reliability of the acceleration signal in the simulation.

[0040] In a third aspect, the present application provides a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute an acceleration signal simulation method as described. Its beneficial effects are the same as those of the acceleration signal simulation method provided in the first aspect of the present application.

[0041] In a fourth aspect, the present application provides a terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements any one of the acceleration signal simulation methods described in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 : A flow chart of an embodiment of the acceleration signal simulation method provided by the present application;

[0043] Figure 2 : A structural diagram of an embodiment of the acceleration signal output point provided by the present application being the N1 point of the accelerometer unit;

[0044] Figure 3 : A structural schematic diagram of an embodiment of the hexahedral unit provided in the present application using MAT20 rigid body material;

[0045] Figure 4 : A schematic structural diagram of an embodiment of a hexahedron with 16 built-in beam units provided by the present application;

[0046] Figure 5 : A structural diagram of an embodiment of 16 beam unit attribute cards provided in this application;

[0047] Figure 6 : A structural schematic diagram of an embodiment of a material card using the MAT196 material constitutive structure provided in this application;

[0048] Figure 7 : A structural schematic diagram of an embodiment of the acceleration signal simulation device provided in the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Embodiment 1

[0051] Please refer to Figure 1 , which is an acceleration signal simulation method provided by an embodiment of the present invention.

[0052] In this embodiment, the process of the acceleration signal simulation method in this application is described in detail through steps S01-S03.

[0053] S01: According to the CAE acceleration signal simulation software, an initial acceleration sensor with a built-in beam unit is constructed.

[0054] As a preferred embodiment of the first embodiment, the initial acceleration sensor with a built-in beam unit is constructed according to the CAE acceleration signal simulation software, specifically:

[0055] The conventional acceleration sensor modeling method is to use hexahedral Shell unit modeling, use MAT20 rigid body material constitutive model, and create an accelerometer unit on the upper surface:

[0056] *ELEMENT_SEATBELT_ACCELEROMETER, the acceleration signal output point is the N1 point of the accelerometer unit, such as Figure 2 As shown, the acceleration sensor is rigidly connected to the vehicle body.

[0057] The acceleration sensor of this application adopts a hybrid modeling method, such as Figure 3 Figure 4 As shown in the figure, the hexahedron unit uses MAT20 rigid body material and has 16 built-in beam units to adjust the stiffness characteristics of the acceleration sensor. The 16 beam unit property cards are shown in Figure 5 , and adopts MAT196 material constitutive model, material card see Figure 5 The eight blue beam units are used to build a connection with the vehicle model. An accelerometer unit is created at the acceleration sensor measurement position: *ELEMENT_SEATBELT_ACCELEROMETER. The acceleration signal output point is the N1 point of the accelerometer unit.

[0058] In this preferred embodiment, the present application uses CAE acceleration signal simulation software to construct an initial acceleration sensor with 16 built-in beam units, which can accurately simulate the mechanical behavior of the acceleration sensor. Specifically, 16 beam units are first constructed according to the CAE software. These units are specially designed to adjust the stiffness characteristics of the acceleration sensor, so as to more realistically reflect the physical response of the sensor in actual applications. Then, these 16 beam units are embedded in the hexahedron of the preset MAT20 rigid structure to form an initial acceleration sensor model. This hybrid modeling method combines the flexibility of the beam unit and the rigidity of the hexahedron unit, so that the model can capture subtle dynamic changes while maintaining the stability of the overall structure. By accurately simulating the stiffness characteristics of the acceleration sensor, the present application can improve the accuracy and reliability of the acceleration signal in the simulation.

[0059] S02: According to various preset parameters, adjust the keyword parameters of the initial acceleration sensor for controlling signal acquisition, the connection type parameters of the initial acceleration sensor and the vehicle, and the output parameters of the acceleration signal output by the initial acceleration sensor to obtain an acceleration sensor model.

[0060] As a preferred embodiment of the first embodiment, the keyword parameter of the initial acceleration sensor for controlling signal acquisition, the connection type parameter of the initial acceleration sensor and the vehicle, and the output parameter of the acceleration signal output by the initial acceleration sensor are adjusted according to the preset parameters to obtain the acceleration sensor model, specifically:

[0061] According to a preset first parameter, adjusting a keyword parameter of the initial acceleration sensor for controlling signal acquisition, so that the acceleration sensor model can acquire a signal that meets the preset requirements;

[0062] More specifically, the first parameter is set as follows: The IACCOP parameter in the keyword *CONTROL_OUTPUT is recommended to be set to 1 or 2, which can effectively reduce the fluctuation amplitude of the acceleration sensor signal and improve the robustness of the acceleration signal acquisition process. Both 1 and 2 can be tried in the vehicle benchmarking.

[0063] According to a preset second parameter, adjusting a connection type parameter between the initial acceleration sensor and the vehicle so that the acceleration sensor model can obtain the influence of the vehicle structure deformation on the sensor reading;

[0064] More specifically, the second parameter is set to: _BEAM_OFFSET type in the TIE connection form, which is more suitable for accelerometer connection modeling and is recommended to use:

[0065] CONTACT_TIED_SHELL_EDGE_TO_SURFACE_BEAM_OFFSET connection type, this connection form performs similarly to a rigid connection in terms of acceleration signal anti-interference ability. It is suitable for simulating a flexible connection between an acceleration sensor and a vehicle structure. This connection method can simulate anti-interference capabilities similar to a rigid connection, while also capturing the impact of vehicle structure deformation on sensor readings. The SFS and SFM parameters in the contact parameters have an impact on the acceleration signal fluctuation frequency. The larger the SFS and SFM, the higher the fluctuation frequency, and vice versa. They can be used as benchmark adjustment parameters. Usually the SFS and SFM parameters are adjusted in the range of 0.1 to 0.3.

[0066] After adjusting the SFS and SFM parameters, the simulation model can more accurately simulate the dynamic response of the acceleration sensor in the actual vehicle structure. This adjustment helps to improve the reliability and accuracy of the simulation data, making the simulation results closer to the actual physical test results.

[0067] According to the preset third parameter, the output parameter of the acceleration signal output by the initial acceleration sensor is adjusted so that the acceleration sensor model can output a coordinate system according to the preset output point.

[0068] More specifically, the third parameter is set to:

[0069] *ELEMENT_SEATBEL_ACCELEROMETER unit can redefine the output coordinate system of the acceleration signal of the preset output point, namely point N1. When using this unit, it is recommended to use: DATABASE_HISTORY_NODE_LOCAL, CID=0 for output setting, and the acceleration sensor needs to use MAT20 material constitutive. When using the acceleration sensor unit, the parameters IGRAV, INTOPT and MASS parameters in the acceleration sensor unit can define the output direction and counterweight of the acceleration sensor respectively. When INTOPT=1, the signal output of the sensor unit N1 point will follow the coordinate system as the acceleration unit rotates; when IRGAV=1 and INTOPT=1 are defined together, it can be used to eliminate the influence of the gravity field.

[0070] In this preferred embodiment, the application adjusts the keyword parameter used to control signal acquisition in the initial acceleration sensor according to the preset first parameter, ensuring that the acceleration sensor model can collect signals that meet the preset requirements and improve the accuracy of signal acquisition; then, according to the preset second parameter, the connection type parameter between the acceleration sensor and the vehicle is adjusted, so that the model can accurately capture the impact of vehicle structural deformation on sensor readings, enhancing the authenticity of the simulation results; finally, according to the preset third parameter, the output parameter is adjusted, so that the acceleration sensor model can output the coordinate system according to the preset output point, ensuring the accuracy and consistency of the output data. The application can significantly improve the accuracy and reliability of acceleration signal simulation.

[0071] S03: According to a preset threshold, the acceleration sensor model is simulated so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold.

[0072] As a preferred embodiment of the first embodiment, the acceleration sensor model is simulated according to the preset threshold value, so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold value, specifically:

[0073] The acceleration sensor model is simulated according to a preset threshold and a preset signal acquisition frequency parameter, so that the acceleration sensor adjusts the acceleration signal acquisition frequency according to the preset signal acquisition frequency parameter and adjusts its own frequency according to the preset threshold to output an acceleration signal.

[0074] More specifically, the acceleration signal acquisition frequency: the parameters DT2MS in CONTROL_TIMESTEP and DT in DATABASE_NODOUT affect the frequency and amplitude of the acceleration signal output. The smaller the absolute value of DT2MS, the denser the acceleration signal output data, but it will cause the iteration step size to become smaller and the calculation efficiency to become lower; the smaller DT, the denser the acceleration signal output data, and high-frequency oscillation will occur. In actual benchmarking, the above two parameters can be adjusted appropriately. DT2MS is usually adjusted in the range of -5e-4 to -7e-4, and DT is usually adjusted in the range of 0.05 to 0.1. The specific number of grids in the vehicle model needs to be determined.

[0075] The increase in the stiffness and reduction in the weight of the accelerometer itself can significantly increase the natural frequency of the accelerometer. The accuracy of the acceleration fluctuation amplitude requires that the natural frequency of the accelerometer be higher than the applicable frequency response range of the accelerometer. Usually, the applicable frequency response range of the actual accelerometer is 0-1000HZ to meet the performance requirements. Therefore, it is necessary to ensure that the natural frequency of the accelerometer itself in the simulation model is higher than 1000HZ. The stiffness of the mounting surface will affect the acquisition of the acceleration signal. The greater the stiffness, the greater the frequency of the acceleration signal fluctuation. In the CAE model, the stiffness of the accelerometer connection position should be ensured to be similar to the actual structure. The measurement point of the accelerometer should be as close as possible to the measurement point of the physical sensor in the spatial coordinate system to reduce the measurement position error of the accelerometer.

[0076] In this preferred embodiment, the present application can accurately adjust the acquisition frequency of the acceleration signal by simulating the acceleration sensor model according to the preset threshold value and the signal acquisition frequency parameter, so as to match the preset signal acquisition frequency parameter. This adjustment ensures that the acceleration sensor can collect data at an optimized frequency during the simulation process, thereby outputting an acceleration signal that meets the preset threshold value. By accurately matching the acquisition frequency with the preset parameters, the present application can reduce data redundancy and omissions, improve the quality and resolution of the data, and make the simulation results closer to the actual situation. Such simulation output not only improves the availability of data, but also enhances the accuracy and reliability of simulation analysis, which is crucial for subsequent data analysis, vehicle safety performance evaluation, and optimization of structural design.

[0077] This application uses CAE acceleration signal simulation software to build an initial acceleration sensor model with a built-in beam unit, and carefully adjusts the signal acquisition keyword parameters, the connection type parameters between the sensor and the vehicle structure, and the output parameters according to preset parameters, so as to achieve precise control of the acceleration sensor model. This precise control enables the simulation model to more accurately capture and simulate the acceleration changes of the vehicle in dynamic events, thereby outputting a smoother and more stable acceleration signal. Finally, simulation is performed according to a preset threshold, and the frequency is adjusted to optimize the output signal to ensure high precision and high robustness of the simulation results. This application solves the problem that high-precision and high-robustness acceleration signals cannot be simulated in the prior art.

[0078] Embodiment 2

[0079] Please refer to Figure 7 , which is an acceleration signal simulation device provided in an embodiment of the present application.

[0080] In this embodiment, the acceleration signal simulation device includes a construction module 10 , an adjustment module 20 and a simulation module 30 .

[0081] The construction module 10 is used to construct an initial acceleration sensor with a built-in beam unit according to CAE acceleration signal simulation software.

[0082] As a preferred embodiment of the second embodiment, the initial acceleration sensor with a built-in beam unit is constructed according to the CAE acceleration signal simulation software, specifically:

[0083] The conventional acceleration sensor modeling method is to use hexahedral Shell unit modeling, use MAT20 rigid body material constitutive model, and create an accelerometer unit on the upper surface:

[0084] *ELEMENT_SEATBELT_ACCELEROMETER, the acceleration signal output point is the N1 point of the accelerometer unit, such as Figure 2 As shown, the acceleration sensor is rigidly connected to the vehicle body.

[0085] The acceleration sensor of this application adopts a hybrid modeling method, such as Figure 3 Figure 4 As shown in the figure, the hexahedron unit uses MAT20 rigid body material and has 16 built-in beam units to adjust the stiffness characteristics of the acceleration sensor. The 16 beam unit property cards are shown in Figure 5 , and adopts MAT196 material constitutive model, material card see Figure 5The eight blue beam units are used to build a connection with the vehicle model. An accelerometer unit is created at the acceleration sensor measurement position: *ELEMENT_SEATBELT_ACCELEROMETER. The acceleration signal output point is the N1 point of the accelerometer unit.

[0086] In this preferred embodiment, the present application uses CAE acceleration signal simulation software to construct an initial acceleration sensor with 16 built-in beam units, which can accurately simulate the mechanical behavior of the acceleration sensor. Specifically, 16 beam units are first constructed according to the CAE software. These units are specially designed to adjust the stiffness characteristics of the acceleration sensor, so as to more realistically reflect the physical response of the sensor in actual applications. Then, these 16 beam units are embedded in the hexahedron of the preset MAT20 rigid structure to form an initial acceleration sensor model. This hybrid modeling method combines the flexibility of the beam unit and the rigidity of the hexahedron unit, so that the model can capture subtle dynamic changes while maintaining the stability of the overall structure. By accurately simulating the stiffness characteristics of the acceleration sensor, the present application can improve the accuracy and reliability of the acceleration signal in the simulation.

[0087] The adjustment module 20 is used to adjust the keyword parameters of the initial acceleration sensor for controlling signal acquisition, the connection type parameters between the initial acceleration sensor and the vehicle, and the output parameters of the acceleration signal output by the initial acceleration sensor according to various preset parameters to obtain an acceleration sensor model.

[0088] As a preferred embodiment of the second embodiment, the keyword parameter of the initial acceleration sensor for controlling signal acquisition, the connection type parameter of the initial acceleration sensor and the vehicle, and the output parameter of the acceleration signal output by the initial acceleration sensor are adjusted according to the preset parameters to obtain the acceleration sensor model, which is specifically:

[0089] According to a preset first parameter, adjusting a keyword parameter of the initial acceleration sensor for controlling signal acquisition, so that the acceleration sensor model can acquire a signal that meets the preset requirements;

[0090] More specifically, the first parameter is set as follows: The IACCOP parameter in the keyword *CONTROL_OUTPUT is recommended to be set to 1 or 2, which can effectively reduce the fluctuation amplitude of the acceleration sensor signal and improve the robustness of the acceleration signal acquisition process. Both 1 and 2 can be tried in the vehicle benchmarking.

[0091] According to a preset second parameter, adjusting a connection type parameter between the initial acceleration sensor and the vehicle so that the acceleration sensor model can obtain the influence of the vehicle structure deformation on the sensor reading;

[0092] More specifically, the second parameter is set to: _BEAM_OFFSET type in the TIE connection form, which is more suitable for accelerometer connection modeling and is recommended to use:

[0093] CONTACT_TIED_SHELL_EDGE_TO_SURFACE_BEAM_OFFSET connection type, this connection form performs similarly to a rigid connection in terms of acceleration signal anti-interference ability. It is suitable for simulating a flexible connection between an acceleration sensor and a vehicle structure. This connection method can simulate anti-interference capabilities similar to a rigid connection, while also capturing the impact of vehicle structure deformation on sensor readings. The SFS and SFM parameters in the contact parameters have an impact on the acceleration signal fluctuation frequency. The larger the SFS and SFM, the higher the fluctuation frequency, and vice versa. They can be used as benchmark adjustment parameters. Usually the SFS and SFM parameters are adjusted in the range of 0.1 to 0.3.

[0094] After adjusting the SFS and SFM parameters, the simulation model can more accurately simulate the dynamic response of the acceleration sensor in the actual vehicle structure. This adjustment helps to improve the reliability and accuracy of the simulation data, making the simulation results closer to the actual physical test results.

[0095] According to the preset third parameter, the output parameter of the acceleration signal output by the initial acceleration sensor is adjusted so that the acceleration sensor model can output a coordinate system according to the preset output point.

[0096] More specifically, the third parameter is set to:

[0097] *ELEMENT_SEATBEL_ACCELEROMETER unit can redefine the output coordinate system of the acceleration signal of the preset output point, namely point N1. When using this unit, it is recommended to use: DATABASE_HISTORY_NODE_LOCAL, CID=0 for output setting, and the acceleration sensor needs to use MAT20 material constitutive. When using the acceleration sensor unit, the parameters IGRAV, INTOPT and MASS parameters in the acceleration sensor unit can define the output direction and counterweight of the acceleration sensor respectively. When INTOPT=1, the signal output of the sensor unit N1 point will follow the coordinate system as the acceleration unit rotates; when IRGAV=1 and INTOPT=1 are defined together, it can be used to eliminate the influence of the gravity field.

[0098] In this preferred embodiment, the application adjusts the keyword parameter used to control signal acquisition in the initial acceleration sensor according to the preset first parameter, ensuring that the acceleration sensor model can collect signals that meet the preset requirements and improve the accuracy of signal acquisition; then, according to the preset second parameter, the connection type parameter between the acceleration sensor and the vehicle is adjusted, so that the model can accurately capture the impact of vehicle structural deformation on sensor readings, enhancing the authenticity of the simulation results; finally, according to the preset third parameter, the output parameter is adjusted, so that the acceleration sensor model can output the coordinate system according to the preset output point, ensuring the accuracy and consistency of the output data. The application can significantly improve the accuracy and reliability of acceleration signal simulation.

[0099] The simulation module 30 is used to simulate the acceleration sensor model according to a preset threshold value, so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold value.

[0100] As a preferred embodiment of the second embodiment, the acceleration sensor model is simulated according to the preset threshold value, so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold value, specifically:

[0101] The acceleration sensor model is simulated according to a preset threshold and a preset signal acquisition frequency parameter, so that the acceleration sensor adjusts the acceleration signal acquisition frequency according to the preset signal acquisition frequency parameter and adjusts its own frequency according to the preset threshold to output an acceleration signal.

[0102] More specifically, the acceleration signal acquisition frequency: the parameters DT2MS in CONTROL_TIMESTEP and DT in DATABASE_NODOUT affect the frequency and amplitude of the acceleration signal output. The smaller the absolute value of DT2MS, the denser the acceleration signal output data, but it will cause the iteration step size to become smaller and the calculation efficiency to become lower; the smaller DT, the denser the acceleration signal output data, and high-frequency oscillation will occur. In actual benchmarking, the above two parameters can be adjusted appropriately. DT2MS is usually adjusted in the range of -5e-4 to -7e-4, and DT is usually adjusted in the range of 0.05 to 0.1. The specific number of grids in the vehicle model needs to be determined.

[0103] The increase in the stiffness and reduction in the weight of the accelerometer itself can significantly increase the natural frequency of the accelerometer. The accuracy of the acceleration fluctuation amplitude requires that the natural frequency of the accelerometer be higher than the applicable frequency response range of the accelerometer. Usually, the applicable frequency response range of the actual accelerometer is 0-1000HZ to meet the performance requirements. Therefore, it is necessary to ensure that the natural frequency of the accelerometer itself in the simulation model is higher than 1000HZ. The stiffness of the mounting surface will affect the acquisition of the acceleration signal. The greater the stiffness, the greater the frequency of the acceleration signal fluctuation. In the CAE model, the stiffness of the accelerometer connection position should be ensured to be similar to the actual structure. The measurement point of the accelerometer should be as close as possible to the measurement point of the physical sensor in the spatial coordinate system to reduce the measurement position error of the accelerometer.

[0104] In this preferred embodiment, the present application can accurately adjust the acquisition frequency of the acceleration signal by simulating the acceleration sensor model according to the preset threshold value and the signal acquisition frequency parameter, so as to match the preset signal acquisition frequency parameter. This adjustment ensures that the acceleration sensor can collect data at an optimized frequency during the simulation process, thereby outputting an acceleration signal that meets the preset threshold value. By accurately matching the acquisition frequency with the preset parameters, the present application can reduce data redundancy and omissions, improve the quality and resolution of the data, and make the simulation results closer to the actual situation. Such simulation output not only improves the availability of data, but also enhances the accuracy and reliability of simulation analysis, which is crucial for subsequent data analysis, vehicle safety performance evaluation, and optimization of structural design.

[0105] This application uses CAE acceleration signal simulation software to build an initial acceleration sensor model with a built-in beam unit, and carefully adjusts the signal acquisition keyword parameters, the connection type parameters between the sensor and the vehicle structure, and the output parameters according to preset parameters, so as to achieve precise control of the acceleration sensor model. This precise control enables the simulation model to more accurately capture and simulate the acceleration changes of the vehicle in dynamic events, thereby outputting a smoother and more stable acceleration signal. Finally, simulation is performed according to a preset threshold, and the frequency is adjusted to optimize the output signal to ensure high precision and high robustness of the simulation results. This application solves the problem that high-precision and high-robustness acceleration signals cannot be simulated in the prior art.

[0106] Embodiment three:

[0107] An embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the acceleration signal simulation method;

[0108] Wherein, the acceleration signal simulation method, if implemented in the form of a software functional unit and used as an independent product, can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0109] Embodiment 4

[0110] The present application provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, any one of the acceleration signal simulation methods described in Example 1 is implemented.

[0111] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for simulating an acceleration signal, characterized in that: include: According to CAE acceleration signal simulation software, an initial acceleration sensor with built-in beam unit is constructed; According to various preset parameters, keyword parameters of the initial acceleration sensor for controlling signal acquisition, connection type parameters of the initial acceleration sensor and the vehicle, and output parameters of the acceleration signal output by the initial acceleration sensor are adjusted to obtain an acceleration sensor model; According to a preset threshold, the acceleration sensor model is simulated so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold.

2. The acceleration signal simulation method according to claim 1, characterized in that: The simulating the acceleration sensor model according to the preset threshold value so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold value is specifically as follows: The acceleration sensor model is simulated according to a preset threshold and a preset signal acquisition frequency parameter, so that the acceleration sensor adjusts the acceleration signal acquisition frequency according to the preset signal acquisition frequency parameter and adjusts the preset frequency according to the preset threshold to output an acceleration signal.

3. The acceleration signal simulation method according to claim 1, characterized in that: The acceleration sensor model is obtained by adjusting the keyword parameter of the initial acceleration sensor for controlling signal acquisition, the connection type parameter of the initial acceleration sensor and the vehicle, and the output parameter of the acceleration signal output by the initial acceleration sensor according to the preset parameters, which is specifically: According to a preset first parameter, adjusting a keyword parameter of the initial acceleration sensor for controlling signal acquisition, so that the acceleration sensor model can acquire a signal that meets the preset requirements; According to a preset second parameter, adjusting a connection type parameter between the initial acceleration sensor and the vehicle so that the acceleration sensor model can obtain the influence of the vehicle structure deformation on the sensor reading; According to the preset third parameter, the output parameter of the acceleration signal output by the initial acceleration sensor is adjusted so that the acceleration sensor model can output a coordinate system according to the preset output point.

4. The acceleration signal simulation method according to claim 1, characterized in that: The initial acceleration sensor with built-in beam unit is constructed according to CAE acceleration signal simulation software, specifically: According to CAE acceleration signal simulation software, 16 beam units are constructed to adjust the stiffness characteristics of the acceleration sensor; The 16 beam units are embedded in a hexahedron of a preset MAT20 rigid structure to obtain an initial acceleration sensor with 16 beam units built in.

5. An acceleration signal simulation device, characterized in that: Includes building module, adjustment module and simulation module; The construction module is used to construct an initial acceleration sensor with a built-in beam unit according to CAE acceleration signal simulation software; The adjustment module is used to adjust the keyword parameters of the initial acceleration sensor for controlling signal acquisition, the connection type parameters between the initial acceleration sensor and the vehicle, and the output parameters of the acceleration signal output by the initial acceleration sensor according to various preset parameters to obtain an acceleration sensor model; The simulation module is used to simulate the acceleration sensor model according to a preset threshold value, so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold value.

6. The acceleration signal simulation device according to claim 5, characterized in that: The simulation module is used to simulate the acceleration sensor model according to a preset threshold value, so that the acceleration sensor model outputs an acceleration signal after adjusting the frequency according to the preset threshold value, specifically: The simulation module simulates the acceleration sensor model according to a preset threshold and a preset signal acquisition frequency parameter, so that the acceleration sensor adjusts the acceleration signal acquisition frequency according to the preset signal acquisition frequency parameter and adjusts the preset frequency according to the preset threshold to output an acceleration signal.

7. The acceleration signal simulation device according to claim 5, characterized in that: The adjustment module is used to adjust the keyword parameters of the initial acceleration sensor for controlling signal acquisition, the connection type parameters between the initial acceleration sensor and the vehicle, and the output parameters of the acceleration signal output by the initial acceleration sensor according to various preset parameters to obtain the acceleration sensor model, specifically: The adjustment module adjusts the keyword parameter of the initial acceleration sensor for controlling signal acquisition according to the preset first parameter, so that the acceleration sensor model can acquire a signal that meets the preset requirements; According to a preset second parameter, adjusting a connection type parameter between the initial acceleration sensor and the vehicle so that the acceleration sensor model can obtain the influence of the vehicle structure deformation on the sensor reading; According to the preset third parameter, the output parameter of the acceleration signal output by the initial acceleration sensor is adjusted so that the acceleration sensor model can output a coordinate system according to the preset output point.

8. The acceleration signal simulation device according to claim 5, characterized in that: The construction module is used to construct an initial acceleration sensor with a built-in beam unit according to CAE acceleration signal simulation software, specifically: The construction module constructs 16 beam units for adjusting the stiffness characteristics of the acceleration sensor according to CAE acceleration signal simulation software; The 16 beam units are embedded in a hexahedron of a preset MAT20 rigid structure to obtain an initial acceleration sensor with 16 beam units built in.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the acceleration signal simulation method according to any one of claims 1 to 4.

10. A terminal device, characterized in that: The invention comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the acceleration signal simulation method according to any one of claims 1 to 4 when executing the computer program.

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