Twist beam working modal identification method, device, equipment and medium

Abstract

The application relates to the technical field of torsion beams, and discloses a working mode identification method, device, equipment and medium for a torsion beam, which comprises the following steps: establishing a first finite element model of the torsion beam, wherein the first finite element model comprises a performance component model; determining pre-load data corresponding to deformation data of the performance component model in a full-load state of a whole vehicle based on a stiffness curve, and applying the corresponding pre-load data in the full-load state of the whole vehicle to the performance component model to obtain the performance component model after the pre-load data is applied; wherein the stiffness curve is obtained by actually measuring a performance component corresponding to the performance component model, and the pre-load data is used for representing the deformation degree actually generated by the performance component in the full-load state of the whole vehicle; and working mode identification is performed on a second finite element model to obtain the working mode of the torsion beam, wherein the second finite element model is a finite element model containing the performance component model after the pre-load is applied, so that the technical effect of accurately identifying the working mode of the torsion beam is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of torsion beams, and in particular to a method, device, equipment, and medium for identifying the working modes of a torsion beam. Background Art

[0002] During vehicle operation, factors such as uneven road surfaces, acceleration, and braking can generate dynamic loads on the rear axle torsion beam, leading to specific vibration modes. Identifying these operating modes can help determine the natural frequency of the structure and avoid resonance under operating conditions. Conventional technologies capture vibration information by attaching devices such as accelerometers and displacement sensors to the torsion beam, but this approach offers limited accuracy. Summary of the Invention

[0003] The present application provides a method, device, equipment and medium for identifying the working mode of a torsion beam, which solves the technical problem of inaccurate identification of the working mode of a torsion beam in the related art and achieves the technical effect of accurately identifying the working mode of the torsion beam.

[0004] In order to achieve the above objectives, the main technical solutions adopted in this application include:

[0005] In a first aspect, an embodiment of the present application provides a method for identifying an operating mode of a torsion beam, the method comprising:

[0006] Establishing a first finite element model of the torsion beam, wherein the first finite element model includes a performance component model;

[0007] Determining preload data corresponding to deformation data of the performance component model under a fully loaded vehicle state based on the stiffness curve, and applying the preload data corresponding to the fully loaded vehicle state to the performance component model to obtain a performance component model after the preload data is applied; wherein the stiffness curve is obtained by actually measuring the performance component corresponding to the performance component model, and the preload data is used to characterize the degree of deformation of the performance component produced by the actual measurement under the fully loaded vehicle state;

[0008] Performing working mode identification on a second finite element model to obtain the working mode of the torsion beam, wherein the second finite element model is a finite element model including the performance component model after applying the preload.

[0009] The embodiment of the present application constructs a finite element model, applies preload data to the performance part model in the first finite element model, takes into account the vibration mode of the torsion beam with load, and can accurately identify the working mode of the torsion beam compared to related technologies.

[0010] Optionally, establishing a first finite element model of the torsion beam includes:

[0011] A first finite element model of the torsion beam is established based on the performance component model after being assigned performance parameters; wherein the performance component model after being assigned performance parameters is obtained by assigning performance parameters to the performance component model and performing performance unit simulation, wherein the performance parameters include stiffness parameters and damping parameters.

[0012] This application constructs a finite element model. Since the performance part model will produce large deformation in the physical structure under the condition of applying a preload, the performance part model is assigned stiffness parameters and damping parameters. Then, the performance part model assigned with performance parameters in the first finite element model is processed with preload data, and the vibration mode of the torsion beam with load, stiffness and damping is taken into account. Compared with related technologies, the working mode of the torsion beam can be accurately identified.

[0013] Optionally, the first finite element model also includes a flexible component model; the second finite element model is a finite element model comprising the performance component model after applying the preload data and a discretized flexible component model; wherein the discretized flexible component model is obtained by performing finite element mesh discretization on the flexible component model. By referencing the measured true values ​​of the actual component, the weight, center of mass, and moment of inertia parameters of the finite element model of the component unit are assigned, and the finite element mesh discretization of the flexible component model is performed to improve the accuracy of the second finite element model.

[0014] Optionally, the discretized flexible component model is determined by the following method, including:

[0015] The flexible component model is discretized by finite element mesh and given flexible properties, wherein the flexible properties include density, elastic model and Poisson's ratio, so as to obtain a discretized flexible component model.

[0016] Optionally, the performance component model includes a bushing unit, a spring unit, and a buffer block unit, with any one of the bushing unit, the spring unit, and the buffer block unit being used as a subunit; determining preload data corresponding to the deformation data of the performance component model under a fully loaded vehicle state based on the stiffness curve, and applying the preload data corresponding to the fully loaded vehicle state to the performance component model to obtain the performance component model after the preload data is applied, includes:

[0017] Based on the stiffness curve of the sub-unit, the sub-preload data corresponding to the deformation data of the sub-unit under the full vehicle load state is determined, and the sub-preload data corresponding to the full vehicle load state is applied to the sub-unit to obtain the sub-unit after the sub-preload data is applied; wherein, the sub-preload data is used to characterize the degree of deformation of the sub-unit actually measured under the full vehicle load state.

[0018] Optionally, the stiffness curve includes a linear segment and a curved segment; the stiffness curve is obtained by:

[0019] The stiffness value of the curved segment is inferred based on the stiffness value of the linear segment, and the stiffness curve is obtained by combining the linear segment and the curved segment, wherein the stiffness value of the linear segment is obtained based on actual measurement.

[0020] On the stiffness curve, the part with obvious linear relationship appears as a straight line trend. The stiffness value obtained under the small deformation conditions measured for the same specification model cannot be applied to the large deformation conditions. Therefore, extrapolation is required to obtain the curve segment of the stiffness curve, and then the stiffness curve is obtained by combining the linear segment and the curve segment.

[0021] Optionally, operating mode identification is performed on the second finite element model in the following manner, including:

[0022] The Lanczos algorithm is used to extract the natural frequencies of a preset order of the second finite element model and calculate the modal participation factors. The operating modes of the second finite element model are then identified based on the modal participation factors. The Lanczos algorithm can solve the eigenvalues ​​of sparse matrices for large models, requiring large storage capacity and offering fast computational speed.

[0023] In a second aspect, an embodiment of the present application provides a working mode identification device for a torsion beam, the device comprising: a construction module, a preload module, and an identification module;

[0024] A construction module, configured to establish a first finite element model of the torsion beam, wherein the first finite element model includes a performance component model;

[0025] a preload module for determining, based on the stiffness curve, preload data corresponding to the deformation data of the performance component model under a fully loaded vehicle state, and applying the preload data corresponding to the fully loaded vehicle state to the performance component model to obtain a performance component model after the preload data is applied; wherein the stiffness curve is obtained by actually measuring the performance component corresponding to the performance component model, and the preload data is used to represent the degree of deformation of the performance component actually measured under a fully loaded vehicle state;

[0026] An identification module is used to perform working mode identification on a second finite element model to obtain the working mode of the torsion beam, wherein the second finite element model is a finite element model including the performance component model after the preload is applied.

[0027] In a third aspect, an embodiment of the present application provides a computer device, including:

[0028] A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes any one of the above-mentioned working mode identification methods of the torsion beam by executing the computer instructions.

[0029] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to enable a computer to execute any of the above-mentioned working mode identification methods for a torsion beam. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific implementation methods or the description of the prior art. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0031] Figure 1 A schematic diagram of the steps of a method for identifying the working mode of a torsion beam provided in an embodiment of the present application;

[0032] Figure 2 A schematic diagram of a first finite element model of a torsion beam provided in an embodiment of the present application;

[0033] Figure 3 A schematic diagram of the up and down motion of a torsion beam at the first-order modal frequency provided in an embodiment of the present application;

[0034] Figure 4 A schematic diagram of the up and down motion of a torsion beam at the first-order modal frequency provided in an embodiment of the present application;

[0035] Figure 5 A schematic diagram of the left-right twisting posture of a torsion beam at the second-order modal frequency provided in an embodiment of the present application;

[0036] Figure 6 A schematic diagram of the left-right twisting posture of a torsion beam at the second-order modal frequency provided in an embodiment of the present application;

[0037] Figure 7 A schematic diagram of a discretized flexible component model provided in an embodiment of the present application;

[0038] Figure 8a A schematic diagram of a bushing unit provided in an embodiment of the present application;

[0039] Figure 8b A schematic diagram of a spring unit provided in an embodiment of the present application;

[0040] Figure 8cA schematic diagram of a buffer block unit provided in an embodiment of the present application;

[0041] Figure 8d A schematic diagram of a shock absorber unit provided in an embodiment of the present application;

[0042] Figure 8e A schematic diagram of a caliper piston unit provided in an embodiment of the present application;

[0043] Figure 8f A schematic diagram of a wheel unit provided in an embodiment of the present application;

[0044] Figure 9 A schematic diagram of a stiffness curve of a bushing unit in a torsion beam provided in an embodiment of the present application;

[0045] Figure 10 A schematic diagram of a modal participation factor value provided in an embodiment of the present application;

[0046] Figure 11 A modal identification diagram of a torsion beam operating mode provided in an embodiment of the present application;

[0047] Figure 12 A modal identification diagram of the working mode of a torsion beam provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] To make the purpose, technical solutions, and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of this application.

[0049] During vehicle operation, factors such as uneven road surfaces, acceleration, and braking can generate dynamic loads on the rear axle torsion beam, leading to specific vibration modes. Identifying these operating modes can help determine the natural frequency of the structure and avoid resonance under operating conditions. Conventional technologies capture vibration information by attaching devices such as accelerometers and displacement sensors to the torsion beam, but this approach offers limited accuracy.

[0050] Reference Figure 1 , an embodiment of the present application provides a method for identifying the working mode of a torsion beam, the method comprising:

[0051] S100: Establish a first finite element model of the torsion beam, wherein the first finite element model includes a performance component model, and the first finite element model refers to a finite element model of the torsion beam that has not been preloaded.

[0052] Reference Figure 2 The first finite element model of the torsion beam includes components such as the torsion beam, shock absorber, spring, spring pad, buffer block, bushing, brake, brake disc, caliper piston, bearing, wheel and tire. Among them, the performance part model includes components such as the spring, bushing, buffer block, shock absorber, caliper piston and wheel.

[0053] S200. Determine preload data corresponding to deformation data of the performance part model under a fully loaded vehicle state based on the stiffness curve, and apply the preload data corresponding to the fully loaded vehicle state to the performance part model to obtain the performance part model after the preload data is applied; wherein the stiffness curve is obtained by actually measuring the performance part corresponding to the performance part model, and the preload data is used to characterize the degree of deformation of the performance part produced by the actual measurement under a fully loaded vehicle state.

[0054] A stiffness curve is a graph obtained by measuring the performance of the same performance component under different loads. It is typically used to describe the stress-strain relationship of a material or component under specific conditions. The stiffness curve of a performance component model under different loads obtained through testing can help understand the deformation characteristics of the performance component under specific loads.

[0055] When the vehicle is fully loaded, the total load of the vehicle is calculated based on the vehicle's design parameters, taking into account the vehicle's own weight and additional loads (such as passengers and cargo). Using the measured stiffness curve, the corresponding point in the fully loaded vehicle is found, and the stress and strain data at that point are extracted. This data is used as preload data. Preload is the load borne by the connection points between each component and the body under the distribution of the vehicle's weight. The extracted preload data is applied to the performance part model. In computer simulation software, the corresponding boundary conditions and preload data can be set to simulate the operating conditions of the vehicle under a fully loaded state.

[0056] S300. Performing working modal identification on the second finite element model to obtain the working mode of the torsion beam, wherein the second finite element model is a finite element model including a performance component model after applying a preload, and the second finite element model refers to a finite element model of the torsion beam that has been preloaded.

[0057] In some cases, dynamic excitation, such as frequency sweeps and pulse excitation, is applied to the model to excite different vibration modes and determine the operating modes of the torsion beam. Modal analysis is then run to calculate the natural frequencies of the second finite element model. Modal analysis can help identify the vibration characteristics of the torsion beam at different frequencies.

[0058] Specifically, refer to Figures 3 to 6 , Figure 3 and Figure 4It represents the up and down motion of the torsion beam at the first-order modal frequency of 9.9 Hz, which is the working mode of the first-order mode. Figure 5 and Figure 6 The left-right twisting posture of the torsion beam at the second-order modal frequency of 10 Hz is represented as the working mode of the second-order mode.

[0059] The embodiment of the present application constructs a finite element model, applies preload data to the performance part model in the first finite element model, takes into account the vibration mode of the torsion beam with load, and can accurately identify the working mode of the torsion beam compared to related technologies.

[0060] As an embodiment, establishing a first finite element model of a torsion beam includes:

[0061] A first finite element model of the torsion beam is established based on the performance component model after being assigned performance parameters; wherein the performance component model after being assigned performance parameters is obtained by assigning performance parameters to the performance component model and performing performance unit simulation, and the performance parameters include stiffness parameters and damping parameters.

[0062] This application constructs a finite element model. Since the performance part model will produce large deformation in the physical structure under the condition of applying a preload, the performance part model is assigned stiffness parameters and damping parameters. Then, the performance part model assigned with performance parameters in the first finite element model is processed with preload data, and the vibration mode of the torsion beam with load, stiffness and damping is taken into account. Compared with related technologies, the working mode of the torsion beam can be accurately identified.

[0063] As an embodiment, the first finite element model also includes a flexible part model; the second finite element model is a finite element model including a performance part model after applying preload data and a discretized flexible part model; wherein, the discretized flexible part model is obtained by discretizing the flexible part model by finite element mesh.

[0064] Reference Figure 7 The flexible component model is assigned performance attributes, including density parameters, elastic model parameters, and Poisson's ratio parameters for each component. The Poisson's ratio parameter is the ratio of the relative deformation in the perpendicular direction to the relative deformation in the tensile direction when the material is stretched in one direction, and is usually between 0 and 0.5. By referring to the measured true values ​​of the actual components, the weight, center of mass, and moment of inertia parameters of the finite element model of the component unit are assigned. The flexible component model is discretized using the finite element mesh to improve the accuracy of the second finite element model.

[0065] As an implementation method, the discretized flexible component model is determined by the following method, including:

[0066] The flexible part model is discretized by finite element mesh and given flexible properties, including density, elastic model and Poisson's ratio, to obtain a discretized flexible part model.

[0067] As an implementation method, in order to ensure the stability and effectiveness of the second finite element model structure, this application defines the main hinge relationships between the hard points in the torsion beam as shown in Table 1.

[0068] Table 1 Main hinge relationships between hard points in torsion beam

[0069]

[0070]

[0071] This application can effectively transmit external loads and reduce stress concentration by reasonably defining the articulation mode of each component. The articulation relationship enables each part to move relatively freely, thereby adapting to different working conditions and environmental changes.

[0072] In one embodiment, the performance component model includes a bushing unit, a spring unit, a buffer block unit, a shock absorber unit, a caliper piston unit, and a wheel unit, with any one of the bushing unit, the spring unit, the buffer block unit, the shock absorber unit, the caliper piston unit, and the wheel unit being used as a subunit; preload data corresponding to deformation data of the performance component model under a fully loaded vehicle state is determined based on a stiffness curve, and the preload data corresponding to the fully loaded vehicle state is applied to the performance component model to obtain the performance component model after the preload data is applied, including:

[0073] Based on the stiffness curve of the sub-unit, the sub-preload data corresponding to the deformation data of the sub-unit under the full vehicle load state is determined, and the sub-preload data corresponding to the full vehicle load state is applied to the sub-unit to obtain the sub-unit after the sub-preload data is applied; wherein, the sub-preload data is used to characterize the degree of deformation of the sub-unit actually measured under the full vehicle load state.

[0074] Reference Figures 8a to 8f , Figure 8a This is a schematic diagram of the bushing unit. End A is connected to the torsion beam and end B is connected to the body through a skeleton bolt. Stiffness and damping properties are assigned to the bushing unit between A and B, and the stiffness parameters and damping parameters are determined. The stiffness of the bushing unit is measured through the same specification model, and the contact stiffness of large deformation is extrapolated according to the stiffness value of the linear segment of the stiffness curve. The position of point a of the bushing in the fully loaded state is obtained according to the fully loaded vehicle weight and the vehicle dynamics simulation. Due to the pre-deformation and bushing stiffness of the bushing unit, preload data is implemented on the bushing unit.

[0075] Figure 8bThis is a schematic diagram of the spring unit of the torsion beam. End A is connected to the torsion beam and end B is connected to the vehicle body. The spring unit stiffness parameters and initial length are assigned between A and B. The position of hard point B in the fully loaded state is determined based on the fully loaded vehicle weight and vehicle dynamics simulation. Preload data is applied to the spring unit at hard point B.

[0076] The torsion beam buffer block is defined by the buffer bushing unit, refer to Figure 8c As shown, end A is connected to the vehicle body, and end B is connected to the torsion beam. Stiffness and damping parameters are assigned to the buffer block between A and B. The buffer block stiffness is measured using the stiffness values ​​of the same specification and model, and the contact stiffness of the large deformation curve segment is extrapolated based on the stiffness values ​​of the linear segment of the stiffness curve. The position of point A of the buffer block in the fully loaded state is determined based on the fully loaded vehicle weight and vehicle dynamics simulation. Because the vehicle weight compresses the contact deformation of the buffer block, preload data is applied to the buffer block model.

[0077] The torsion beam damper is defined by cylindrical sub-elements, refer to Figure 8d As shown in the figure, end A is connected to the bottom of the shock absorber outer cylinder and end B is connected to the bottom of the piston rod. The cylindrical sub-unit allows the piston rod to rotate and slide relative to the shock absorber, and gives the shock absorber stiffness and damping properties between hard points A and B. The stiffness parameters and damping parameters of the shock absorber are measured through the same specifications and models.

[0078] Reference Figure 8e As shown, the brake caliper piston is defined by a moving subunit, with end A connected to the piston and end B to the caliper. The moving subunit allows the piston to slide relative to the caliper. The hydraulic piston stiffness properties are assigned between ends A and B. The piston stiffness is measured using a model with the same specifications.

[0079] Reference Figure 8f As shown in the figure, the rotation properties of the wheel are defined by the hinge unit. The A end is connected to the wheel and the B end is connected to the bearing. The hinge unit only allows the wheel to rotate relative to the bearing. The bolt connection of the torsion beam is defined by node coupling, which constrains the connection nodes of the two components to move together, indicating a tight connection between the components.

[0080] As an embodiment, the stiffness curve includes a linear segment and a curved segment; the stiffness curve is obtained in the following manner: the stiffness value of the curved segment is inferred based on the stiffness value of the linear segment, and the stiffness curve is obtained by combining the linear segment and the curved segment, wherein the stiffness value of the linear segment is obtained based on actual measurement.

[0081] On the stiffness curve, the part with obvious linear relationship appears as a straight line trend. The stiffness value obtained under the small deformation conditions measured for the same specification model cannot be applied to the large deformation conditions. Therefore, extrapolation is required to obtain the curve segment of the stiffness curve, and then the stiffness curve is obtained by combining the linear segment and the curve segment.

[0082] Figure 9This is a schematic diagram of the stiffness curve of the bushing unit in the torsion beam, in the Z direction. When the vehicle is fully loaded, the bushing deforms by 1.5 mm. Based on the stiffness curve, the Z-direction preload data of the bushing is 1467 N.

[0083] As an implementation method, the operating mode identification is performed on the second finite element model in the following manner, including:

[0084] S310: Extracting a preset order of natural frequencies of the second finite element model based on the Lanczos algorithm and calculating a modal participation factor. Furthermore, the preset order is 20. The Lanczos algorithm can solve eigenvalues ​​of sparse matrices of large models, has large storage capacity, and fast calculation speed, and can also perform operating modal identification on the second finite element model based on the Givens algorithm.

[0085] The 20th-order modal order refers to its 20th-order natural frequency. The vehicle's torsion beam is set to have 20 degrees of freedom, and the 20 (from 1 to 20)-order modes correspond to natural frequencies from small to large. The vehicle's torsion beam generally only focuses on low-frequency modes, and it is sufficient to extract the 20th-order mode.

[0086] S320: Perform operating modal identification on the second finite element model based on the modal participation factor.

[0087] Reference Figures 10 to 12 , using the Lanczos algorithm, the first 20 natural frequencies are extracted. In the first-order mode, the absolute value in the Y direction is 8.64873E-7, which is the maximum value in all directions, and the negative sign indicates rotation around the negative direction of Y. It can be concluded that the first-order mode is a mode of torsion around the negative direction of the Y axis.

[0088] An embodiment of the present application provides a working mode identification device for a torsion beam, the device comprising: a construction module, a preload module, and an identification module.

[0089] The building module is used to establish a first finite element model of the torsion beam, wherein the first finite element model includes a performance component model.

[0090] The preload module is used to determine the preload data corresponding to the deformation data of the performance part model under the full load state of the vehicle based on the stiffness curve, and apply the preload data corresponding to the full load state of the vehicle to the performance part model to obtain the performance part model after the preload data is applied; wherein, the stiffness curve is obtained by actual measurement of the performance part corresponding to the performance part model, and the preload data is used to characterize the degree of deformation of the performance part produced by actual measurement under the full load state of the vehicle.

[0091] The identification module is used to perform working mode identification on the second finite element model to obtain the working mode of the torsion beam, wherein the second finite element model is a finite element model including a performance component model after applying a preload.

[0092] As an embodiment, the building block is further configured to:

[0093] A first finite element model of the torsion beam is established based on the performance component model after being assigned performance parameters; wherein the performance component model after being assigned performance parameters is obtained by assigning performance parameters to the performance component model and performing performance unit simulation, and the performance parameters include stiffness parameters and damping parameters.

[0094] As an embodiment, the first finite element model also includes a flexible part model; the second finite element model is a finite element model including a performance part model after applying preload data and a discretized flexible part model; wherein, the discretized flexible part model is obtained by discretizing the flexible part model by finite element mesh.

[0095] As an implementation method, the discretized flexible component model is determined by the following method, including:

[0096] The flexible part model is discretized by finite element mesh and given flexible properties, including density, elastic model and Poisson's ratio, to obtain a discretized flexible part model.

[0097] As an embodiment, the performance component model includes a bushing unit, a spring unit, and a buffer block unit, with any one of the bushing unit, the spring unit, and the buffer block unit being used as a subunit; the preload module is further used to:

[0098] Based on the stiffness curve of the sub-unit, the sub-preload data corresponding to the deformation data of the sub-unit under the full vehicle load state is determined, and the sub-preload data corresponding to the full vehicle load state is applied to the sub-unit to obtain the sub-unit after the sub-preload data is applied; wherein, the sub-preload data is used to characterize the degree of deformation of the sub-unit actually measured under the full vehicle load state.

[0099] As an embodiment, the stiffness curve includes a linear segment and a curved segment; the stiffness curve is obtained by:

[0100] The stiffness value of the curved segment is inferred based on the stiffness value of the linear segment, and the stiffness curve is obtained by combining the linear segment and the curved segment, wherein the stiffness value of the linear segment is obtained based on actual measurement.

[0101] As an embodiment, the identification module is further configured to:

[0102] Extract the natural frequency of the preset order of the second finite element model based on the Lanczos algorithm and calculate the modal participation factor;

[0103] The operating mode of the second finite element model is identified based on the modal participation factor.

[0104] The present application provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform a method for identifying the working mode of a torsion beam as provided in the above embodiment.

[0105] This computer equipment comprises: one or more processors, memory, and the interface for connecting each component, including high-speed interface and low-speed interface. Each component utilizes different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer equipment, including instructions stored in the memory or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Equally, multiple computer equipment can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system).

[0106] The processor may be a central processing unit, a network processor, or a combination thereof. The processor may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0107] The memory stores instructions that can be executed by at least one processor, so that the at least one processor executes the method shown in the above embodiment.

[0108] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the computer device, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the storage may optionally include a memory remotely located relative to the processor, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0109] The memory may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid state drive; the memory may also include a combination of the above types of memory.

[0110] The computer device further includes a communication interface for the computer device to communicate with other devices or a communication network.

[0111] The present application provides a computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions are used to enable a computer to execute a method for identifying a working mode of a torsion beam as provided in the above embodiment.

[0112] The embodiments of the present application also provide a computer-readable storage medium. The above-mentioned method according to the embodiment of the present application can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0113] An embodiment of the present application provides a computer program product, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform a method according to any embodiment of the present application.

[0114] Although the embodiments of the present application have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations shall fall within the scope defined by the appended claims.

[0115] The systems, devices, modules, or units described in the above embodiments may be implemented by computer chips or entities, or by products having certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0116] For the convenience of description, the above devices are described as being divided into various units according to their functions. Of course, when implementing this application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0117] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0118] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0119] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0120] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0121] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0122] The various embodiments in this specification are described in a progressive manner. Similar parts between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the system embodiments are generally similar to the method embodiments, so the description is relatively simple. For relevant parts, refer to the description of the method embodiments.

[0123] The foregoing is merely an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

[0124] Although the embodiments of the present application have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations shall fall within the scope defined by the appended claims.

Claims

1. A method for identifying the working mode of a torsion beam, characterized in that: The method comprises: Establishing a first finite element model of the torsion beam, wherein the first finite element model includes a performance component model; Based on the stiffness curve, preload data corresponding to the deformation data of the performance part model under the full-load state of the vehicle is determined, and the preload data corresponding to the full-load state of the vehicle is applied to the performance part model to obtain the performance part model after the preload data is applied; wherein, the stiffness curve is obtained by measuring the performance part corresponding to the performance part model, and the preload data is used to characterize the degree of deformation of the performance part measured under the full-load state of the vehicle; the performance part model includes a bushing unit, a spring unit and a buffer block unit, and any one of the bushing unit, the spring unit and the buffer block unit is used as a sub-unit, and based on the stiffness curve of the sub-unit, sub-preload data corresponding to the deformation data of the sub-unit under the full-load state of the vehicle is determined, and the sub-preload data corresponding to the full-load state of the vehicle is applied to the sub-unit to obtain the sub-unit after the sub-preload data is applied; the sub-preload data is used to characterize the degree of deformation of the sub-unit measured under the full-load state of the vehicle; An operating mode identification is performed on a second finite element model to obtain an operating mode of the torsion beam, wherein the second finite element model is a finite element model including the performance component model after the preload is applied.

2. The method according to claim 1, characterized in that The establishing of the first finite element model of the torsion beam comprises: A first finite element model of the torsion beam is established based on the performance component model after being assigned performance parameters; wherein the performance component model after being assigned performance parameters is obtained by assigning performance parameters to the performance component model and performing performance unit simulation, wherein the performance parameters include stiffness parameters and damping parameters.

3. The method according to claim 1, characterized in that The first finite element model also includes a flexible part model; the second finite element model is a finite element model including the performance part model after applying the preload data and the discretized flexible part model; wherein, the discretized flexible part model is obtained by discretizing the flexible part model by finite element mesh.

4. The method according to claim 3, characterized in that The discretized flexible component model is determined by the following method, including: The flexible component model is discretized by finite element mesh and given flexible properties, wherein the flexible properties include density, elastic model and Poisson's ratio, so as to obtain a discretized flexible component model.

5. The method according to claim 1, wherein The stiffness curve includes a linear segment and a curved segment; the stiffness curve is obtained by: The stiffness value of the curved segment is inferred based on the stiffness value of the linear segment, and the stiffness curve is obtained by combining the linear segment and the curved segment, wherein the stiffness value of the linear segment is obtained based on actual measurement.

6. The method according to claim 1, characterized in that The operating mode identification of the second finite element model is performed by the following methods, including: Extracting the natural frequency of a preset order of the second finite element model based on the Lanczos algorithm, and calculating the modal participation factor; An operating modal identification is performed on the second finite element model based on the modal participation factor.

7. A device for identifying a working mode of a torsion beam, for implementing the method for identifying a working mode of a torsion beam according to any one of claims 1 to 6, characterized in that: The device includes a building module, a preload module and an identification module; A construction module, configured to establish a first finite element model of the torsion beam, wherein the first finite element model includes a performance component model; a preload module for determining, based on the stiffness curve, preload data corresponding to the deformation data of the performance component model under a fully loaded vehicle state, and applying the preload data corresponding to the fully loaded vehicle state to the performance component model to obtain a performance component model after the preload data is applied; wherein the stiffness curve is obtained by actually measuring the performance component corresponding to the performance component model, and the preload data is used to represent the degree of deformation of the performance component actually measured under a fully loaded vehicle state; An identification module is used to perform working mode identification on a second finite element model to obtain the working mode of the torsion beam, wherein the second finite element model is a finite element model including the performance component model after the preload is applied.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the working mode identification method of a torsion beam according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the working mode identification method of a torsion beam according to any one of claims 1 to 6.

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