Part fatigue analysis method, device and storage medium based on vehicle road spectrum

Abstract

The application relates to the technical field of vehicle body endurance simulation analysis, and discloses a part fatigue analysis method and device based on a whole vehicle road spectrum and a storage medium, wherein the method comprises the following steps: acquiring a vehicle body model and collecting a road spectrum response signal of a whole vehicle on a test field; processing the road spectrum response signal and obtaining force value signals of a plurality of vehicle body and chassis connecting points; inputting the force value signals into the vehicle body model, so as to perform transient dynamics simulation analysis on the vehicle body, and obtaining a first analysis result, wherein the first analysis result comprises a target part signal; inputting the target part signal into a target part, so as to analyze the target part, and obtaining a first signal of a function representing stress or modal coordinates on the target part changing with time; inputting the first signal into fatigue analysis software, so as to obtain a fatigue result of the target part; and judging whether the target part needs to be optimized based on the fatigue result.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle body durability simulation analysis, and provides a part fatigue analysis method based on a whole vehicle road spectrum, equipment and a storage medium. BACKGROUND

[0002] The external load borne by the automobile during long-term operation is a dynamic alternating load. Under the action of the load, dynamic stress is generated on many components of the automobile, causing fatigue damage, and the fatigue damage is mostly fatigue fracture.

[0003] The fatigue failure of automobile materials is closely related to the design, production, use and maintenance of the automobile, such as whether fatigue damage is considered in the design, the level of processing technology in the material processing process, the regular maintenance or unexpected impact in the use of the vehicle, and the complex driving environment, which are all causes of fatigue damage. Therefore, relevant personnel should understand the causes of fatigue damage of the automobile and take preventive measures.

[0004] However, the current fatigue analysis of the whole vehicle and parts by using road spectrum data is a common method for investigating the fatigue performance of the whole vehicle and related parts. This method has high precision and strong universality, and can investigate the fatigue performance of most parts on the vehicle body. However, the process is complicated and time-consuming, and if repeated optimization of a single part is needed, the efficiency will be seriously affected, and the optimization scheme cannot be given in time. SUMMARY

[0005] The present application provides a part fatigue analysis method based on a whole vehicle road spectrum, equipment and a storage medium, to improve the time efficiency of fatigue performance investigation of a single part and the efficiency of repeated optimization of the part.

[0006] According to a first aspect of the present application, a part fatigue analysis method based on a whole vehicle road spectrum is provided, comprising:

[0007] S1: obtaining a vehicle body model, and collecting a road spectrum response signal of the whole vehicle on a test field; the road spectrum response signal represents a function of the load of the whole vehicle changing with time; wherein the whole vehicle comprises a vehicle body, a chassis and a target part;

[0008] S2: processing the road spectrum response signal to obtain force value signals of a plurality of vehicle body and chassis connection points; the force value signal represents a function of the load of the connection point changing with time;

[0009] S3: inputting a plurality of force value signals into the vehicle body model to perform transient dynamics simulation analysis on the vehicle body, and obtaining a first analysis result, wherein the first analysis result includes a target part signal; the target part signal represents a function of a physical quantity of the target part changing with time;

[0010] S4: performing load analysis on the target part according to the target part signal, and obtaining a second analysis result, wherein the second analysis result comprises a first signal representing a function of stress or modal coordinate on the target part varying with time;

[0011] S5: inputting the first signal into fatigue analysis software to obtain a fatigue result of the target part;

[0012] S6: determining whether the fatigue result reaches a first preset value; if yes, the target part is qualified, and the fatigue simulation is ended; if not, the target part is unqualified, and the target part is optimized, and the step S4 is returned.

[0013] Optionally, in the step S2, the road spectrum response signal is processed, and the processing specifically comprises:

[0014] S21: performing correction processing on the road spectrum response signal;

[0015] S22: inputting the corrected road spectrum response signal into virtual iteration software to perform iteration processing to obtain an iteration signal, and determining whether the accuracy of the iteration signal and the corrected road spectrum signal is within a first preset value; if yes, the step S23 is entered; if not, the iteration processing is continuously performed;

[0016] S23: inputting the iteration signal into a multi-body dynamics model to perform load decomposition to obtain the force value signal.

[0017] Optionally, in the step S4, the first signal comprises a part stress signal and a modal coordinate signal.

[0018] Optionally, if the first signal is the part stress signal, the part stress signal is directly inputted into the fatigue analysis software to obtain the fatigue result of the target part.

[0019] Optionally, if the first signal is the modal coordinate signal, a modal stress signal of the target part is extracted from the target part signal; and the modal coordinate signal and the modal stress signal are simultaneously inputted into the fatigue analysis software to obtain the fatigue result of the target part.

[0020] Optionally, the physical quantity of the target part at least comprises force, speed, acceleration and displacement.

[0021] Optionally, the method further comprises:

[0022] In step S3, after obtaining the target part signal, the target part signal is subjected to Fourier transform and converted into the frequency spectral density signal corresponding to the target part. The frequency spectral density signal is then input into the fatigue analysis software to obtain the fatigue result of the target part.

[0023] Optionally, in step S6, optimizing the target part specifically includes: changing the material of the target part or improving the structure of the target part.

[0024] According to a second aspect of the present invention, an electronic device is provided, including a processor and a memory; the memory stores a program that can be called by the processor; wherein, when the processor executes the program, it implements the component fatigue simulation analysis method based on the whole vehicle road spectrum as described in the first aspect of the present invention.

[0025] According to a third aspect of the present invention, a computer-readable storage medium is provided, wherein program instructions are stored therein, and when the program instructions are executed by a processor of a computer, the processor performs the component fatigue simulation analysis method based on whole vehicle road spectrum as described in the first aspect of the present invention.

[0026] The component fatigue analysis method based on whole vehicle road spectrum provided by this invention collects road spectrum response signals from the test track and processes them into force signals at several body and chassis connection points. Transient dynamic analysis of the vehicle body is performed using these force signals to obtain a first analysis result. This first analysis result includes a first signal representing a function of stress or modal coordinates on the target component changing over time. The first signal is then used to further load analyze the vehicle body, obtaining another first signal representing a function of stress or modal coordinates on the target component changing over time. This first signal is then input into fatigue analysis software to obtain the fatigue result corresponding to the target component signal. Finally, the target component is optimized based on the fatigue result. In other words, the component fatigue analysis method provided by this invention achieves rapid fatigue analysis and optimization of target components. The input signal is based on road spectrum data, ensuring accuracy. The method is versatile, has a short calculation time, and a fast response, making it suitable for repeated optimization analysis of individual components. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1This is a flowchart illustrating a fatigue analysis method for parts according to an embodiment of the present invention;

[0029] Figure 2 This is a schematic diagram of the process for processing the corresponding signal of the road spectrum in one embodiment of the present invention;

[0030] Figure 3 This is a schematic diagram illustrating the structure of an exemplary electronic device according to one embodiment of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0033] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0034] Please refer to Figure 1 A component fatigue analysis method based on whole vehicle road spectrum, comprising:

[0035] S1: Acquire the vehicle body model and collect the road spectrum response signal of the whole vehicle on the test track; the road spectrum response signal characterizes the load of the whole vehicle on the test track as a function of time; wherein, the whole vehicle includes: body, chassis and target parts.

[0036] The road spectrum response signal can provide the load required for simulation calculation, providing reliable data support for simulation analysis, thereby making accurate predictions and judgments on the fatigue life of various automotive components.

[0037] Before acquiring the road spectrum response signal, different acquisition channels need to be arranged on the vehicle body according to the test purpose, such as installing sextant sensors on the wheel centers. In this embodiment of the invention, different types of road spectrum response signals can be obtained through different sensors, such as obtaining force signals through sextant sensors.

[0038] S2: The road spectrum response signal is processed to obtain force signals at several vehicle body and chassis connection points; the force signals represent the load at the connection points as a function of time.

[0039] Please refer to the following: Figure 2 The processing of the road spectrum response signal specifically includes:

[0040] S21: Correct the road spectrum response signal.

[0041] In a specific embodiment of the present invention, since the collected road spectrum response signal may contain defects, it is necessary to correct the road spectrum response signal. Specific correction methods include de-scratching and de-drifting to resolve the defects in the road spectrum response signal. Of course, the present invention is not limited to methods for removing defects in the road spectrum response signal; other methods capable of removing defects in the road spectrum response signal are also within the scope of protection of the present invention.

[0042] S22: Input the corrected road spectrum response signal into the virtual iterative software for iterative processing to obtain an iterative signal, and determine whether the accuracy of the iterative signal and the corrected road spectrum signal is within a first preset value; if yes, proceed to step S23; if no, continue iterative processing on the iterative signal.

[0043] In a specific embodiment of the present invention, a virtual iterative simulation method similar to the test bench iterative method is adopted. Iterative software is used to iterate the displacement of the vehicle wheel center, and the six-component force load of the wheel center drives the vehicle dynamic model until the simulation results and the measured road spectrum corresponding signal reach a convergence state (that is, the accuracy of iterating the road spectrum corresponding signal is within the first preset value).

[0044] S23: Input the iterative signal into the multibody dynamics model to perform load decomposition and obtain the force signal.

[0045] The multibody dynamics model in this embodiment of the invention refers to the vehicle dynamics model in which the parts are connected by kinematic pairs.

[0046] S3: Input several force signals into the vehicle body model to perform transient dynamics simulation analysis on the vehicle body and obtain a first analysis result, wherein the first analysis result includes target part signals; the target part signals characterize the physical quantity of the target part as a function of time.

[0047] In this embodiment of the invention, the physical quantity of the target part refers to the physical quantity at the connection point between the target part and the vehicle body. This physical quantity includes at least: force, velocity, acceleration, and displacement. Of course, the physical quantity of the target part in this embodiment of the invention is not limited to the listed physical quantities; other forms of physical quantities are within the protection scope of this invention.

[0048] S4: Perform a loading analysis on the target part based on the target part signal and obtain a second analysis result, wherein the second analysis result includes a first signal, which characterizes the change of stress or modal coordinates on the target part over time.

[0049] In a specific embodiment of the present invention, the first signal includes: part stress signal and modal coordinate signal. 。 The stress signal of the part characterizes the degree of stress change on the target part over time; the modal coordinate signal characterizes the degree of modal coordinate change on the target part over time.

[0050] If the first signal is a component stress signal, then the component stress signal is directly input into the fatigue analysis software to obtain the fatigue result of the target component.

[0051] If the first signal is a modal coordinate signal, then the modal stress signal of the target part needs to be extracted from the target part signal; and the modal coordinate signal and the modal stress signal are simultaneously input into the fatigue analysis software to obtain the fatigue result of the target part.

[0052] S5: Input the first signal into the fatigue analysis software to obtain the fatigue results of the target part.

[0053] It is understood that this invention is not limited to the type of fatigue software; any fatigue analysis software that can convert a signal / data into fatigue results is within the scope of protection of this invention.

[0054] S6: Determine whether the fatigue result has reached the first preset value; if yes, the target part is qualified and the fatigue simulation ends; if no, the target part is unqualified, the target part is optimized, and the process returns to step S4.

[0055] In a specific embodiment of the present invention, optimizing the target part specifically includes: changing the material of the target part or improving the structure of the target part.

[0056] Furthermore, in another embodiment of the present invention, in step S3, after obtaining the target part signal, the target part signal is subjected to Fourier transform and converted into a frequency spectral density signal corresponding to the target part, and the frequency spectral density signal is input to fatigue analysis software to obtain the fatigue result of the target part.

[0057] The component fatigue analysis method based on whole vehicle road spectrum provided by this invention collects road spectrum response signals from the test track and processes them into force signals at several body and chassis connection points. Transient dynamic analysis of the vehicle body is performed using these force signals to obtain a first analysis result. This first analysis result includes a first signal representing a function of stress or modal coordinates on the target component changing over time. The first signal is then used to further load analyze the vehicle body, obtaining another first signal representing a function of stress or modal coordinates on the target component changing over time. This first signal is then input into fatigue analysis software to obtain the fatigue result corresponding to the target component signal. Finally, the target component is optimized based on the fatigue result. In other words, the component fatigue analysis method provided by this invention achieves rapid fatigue analysis and optimization of target components. The input signal is based on road spectrum data, ensuring accuracy. The method is versatile, has a short calculation time, and a fast response, making it suitable for repeated optimization analysis of individual components.

[0058] Please refer to Figure 3 An electronic device 1 is provided, comprising:

[0059] Processor 11; and

[0060] Memory 12 is used to store the executable instructions of the processor;

[0061] The processor 11 is configured to execute the methods described above by executing the executable instructions.

[0062] The processor 11 can communicate with the memory 12 via the bus 13.

[0063] This invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the methods described above.

[0064] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for fatigue analysis of parts based on whole vehicle road spectrum, characterized in that, include: S1: Acquire the vehicle body model and collect the road spectrum response signal of the whole vehicle on the test track; The road spectrum response signal characterizes the load of the vehicle in the test field as a function of time; wherein, the vehicle includes: body, chassis and target parts; S2: The road spectrum response signal is processed to obtain force signals at several vehicle body and chassis connection points; the force signals represent the load at the connection points as a function of time. S3: Input several force signals into the vehicle body model to perform transient dynamics simulation analysis on the vehicle body and obtain a first analysis result, wherein the first analysis result includes target part signals; the target part signals characterize the physical quantities of the target part as a function of time; the physical quantities of the target part include at least: force, velocity, acceleration, and displacement; S4: Perform a loading analysis on the target part based on the target part signal and obtain a second analysis result, wherein the second analysis result includes a first signal, which characterizes the change of stress or modal coordinates on the target part over time; the first signal includes: part stress signal and modal coordinate signal; S5: Input the first signal into fatigue analysis software to obtain the fatigue results of the target part; S6: Determine whether the fatigue result has reached the first preset value; if yes, the target part is qualified and the fatigue simulation ends; if no, the target part is unqualified, the target part is optimized, and the process returns to step S4.

2. The method for component fatigue analysis based on whole vehicle road spectrum according to claim 1, characterized in that, In step S2, the road spectrum response signal is processed, specifically including: S21: Correct the road spectrum response signal; S22: Input the corrected road spectrum response signal into the virtual iterative software for iterative processing to obtain an iterative signal, and determine whether the accuracy of the iterative signal and the corrected road spectrum signal is within a first preset value; if yes, proceed to step S23; if no, continue iterative processing on the iterative signal. S23: Input the iterative signal into the multibody dynamics model to perform load decomposition and obtain the force signal.

3. The method for fatigue analysis of parts based on whole vehicle road spectrum according to claim 1, characterized in that, If the first signal is a component stress signal, then the component stress signal is directly input into the fatigue analysis software to obtain the fatigue result of the target component.

4. The method for fatigue analysis of parts based on whole vehicle road spectrum according to claim 1, characterized in that, If the first signal is a modal coordinate signal, then the modal stress signal of the target part is extracted from the target part signal; and the modal coordinate signal and the modal stress signal are simultaneously input into the fatigue analysis software to obtain the fatigue result of the target part.

5. The method for fatigue analysis of parts based on whole vehicle road spectrum according to claim 1, characterized in that, Also includes: In step S3, after obtaining the target part signal, the target part signal is subjected to Fourier transform and converted into the frequency spectral density signal corresponding to the target part. The frequency spectral density signal is then input into the fatigue analysis software to obtain the fatigue result of the target part.

6. The method for fatigue analysis of parts based on whole vehicle road spectrum according to claim 1, characterized in that, In step S6, optimizing the target part specifically includes: changing the material of the target part or improving the structure of the target part.

7. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the method according to any one of claims 1-6.

8. A storage medium having a program stored thereon, characterized in that, When the program is executed by a processor, it implements the steps of the method according to any one of claims 1-6.

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