CN115204020B - Method and system for analyzing strength of electrically-driven bridge system, storage medium and test equipment - Google Patents
Method and system for analyzing strength of electrically-driven bridge system, storage medium and test equipment Download PDFInfo
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Abstract
The invention provides a strength analysis method, a system, a storage medium and test equipment for an electrically-driven bridge system, wherein the method comprises the following steps: constructing a multi-body dynamic whole vehicle model corresponding to the whole vehicle according to the geometric data and the mounting point data; performing benchmarking on the multi-body dynamics whole vehicle model according to KC test data; acquiring road spectrum loads of a finished vehicle under various working conditions, and decomposing the road spectrum loads under various working conditions based on a marked multi-body dynamic finished vehicle model to obtain time domain road spectrum loads of mounting points in an electric drive bridge system, wherein each time domain road spectrum load corresponds to one working condition; and generating a peak load matrix according to the time domain road spectrum load of each mounting point under each working condition, and loading the peak load matrix according to the built finite element model so as to carry out strength analysis on the electric drive bridge system. The method for analyzing the strength of the electrically driven bridge system can comprehensively and reliably analyze the strength of the electrically driven bridge, and has the advantages of short test period and high test accuracy.
Description
Technical Field
The invention relates to the technical field of vehicle part testing, in particular to a method and a system for analyzing strength of an electric drive bridge system, a storage medium and testing equipment.
Background
With the improvement of national requirements on energy conservation and emission reduction and the fierce competition of the automobile industry, how to design an electric drive axle system by using a CAE means and realize the light weight of the electric drive axle system reaches increasingly strict national regulation requirements becomes a key factor. The electric drive axle system is a core part of an electric automobile, and the strength performance of the electric drive axle is a foundation stone for ensuring the light weight of the drive axle system. Therefore, a set of comprehensive and scientific strength simulation evaluation method is particularly important.
In the process of project development of each host factory, three types of methods are mainly applied to carry out strength analysis on an electric drive bridge system at present: 1. the strength performance evaluation is carried out based on a vertical strength test method specified by national standard (QC/T522-2020 commercial vehicle drive axle assembly), and the method only loads vertical load at a leaf spring seat of an electric drive axle, and neglects that the loads of a shock absorber, a limiting block and a wheel center do not accord with actual stress. 2. Loading an actually measured dynamic load at the wheel center of a finite element model of the electrically driven bridge system based on a finite element transient response method, and carrying out strength analysis; the biggest disadvantage of this method is that the amount of calculation is too large, and the analysis time by this method is ten times longer than that by other analysis methods. 3. The method is based on the internal standards of enterprises, namely vertical bending strength, braking condition, turning condition and turning braking condition, strength check of an electric drive bridge system is carried out, and the method is not associated with the working condition of the endurance test of the whole vehicle, so that potential risks in the endurance test cannot be fully evaluated, and a brand-new strength analysis method meeting actual requirements is urgently needed.
Disclosure of Invention
Based on this, the invention aims to provide a method, a system, a storage medium and a test device for analyzing the strength of an electrically-driven bridge system, so as to replace the traditional method for testing the strength of the electrically-driven bridge system, and have the advantages of short test period and high test accuracy.
According to the invention, the strength analysis method of the electrically-driven bridge system comprises the following steps:
acquiring geometric data and mounting point data of a finished automobile vehicle, and constructing a multi-body dynamic finished automobile model corresponding to the finished automobile vehicle according to the geometric data and the mounting point data;
acquiring KC test data of the whole vehicle obtained by a KC test bench, and calibrating the multi-body dynamics whole vehicle model according to the KC test data;
carrying out endurance test experiments on the whole vehicle under multiple working conditions to obtain road spectrum loads of the whole vehicle under each working condition, decomposing the road spectrum loads under each working condition based on the marked multi-body dynamics whole vehicle model to obtain time domain road spectrum loads of each mounting point in an electric drive bridge system of the whole vehicle, wherein each time domain road spectrum load corresponds to one working condition;
and generating a peak load matrix according to the time domain road spectrum load of each mounting point under each working condition, and loading the peak load matrix according to the built finite element model so as to carry out strength analysis on the electric drive bridge system.
In conclusion, according to the strength analysis method of the electrically-driven bridge system, a brand-new strength analysis method is designed to replace the traditional strength test method, and the strength analysis method has the advantages of short test period and high test accuracy. The method comprises the steps of firstly obtaining various parameters of a whole vehicle, constructing a multi-body dynamics whole vehicle model according to the parameters, simultaneously carrying out KC test to obtain KC test data, further carrying out benchmarking optimization on the obtained multi-body dynamics whole vehicle model, carrying out endurance test experiments on a plurality of whole vehicles under a plurality of working conditions, further obtaining a plurality of road spectrum loads, simultaneously decomposing all road spectrum loads by using the calibrated multi-body dynamics whole vehicle model to avoid the problems of inaccurate loads and incomplete loads of mounting points, further obtaining time domain road spectrum loads of the mounting points, further generating a peak load matrix by using the time domain road spectrum loads under each working condition, and carrying out intensity analysis based on the peak load matrix.
Further, the step of acquiring KC test data of the whole vehicle obtained by the KC test bench so as to carry out benchmarking on the multi-body dynamic whole vehicle model according to the KC test data comprises the following steps:
obtaining the test conditions of the KC test, and inputting the test conditions into the multi-body dynamics whole vehicle model to obtain various experimental simulation data, wherein the experimental simulation data comprises tire jumping distance, tire inclination distance, tire toe angle and rear tire backward tilting data;
calculating data errors of various experimental simulation data and the KC test data, and judging whether the data errors of any experimental simulation data are smaller than a first preset error threshold value;
and if the data error of at least one kind of experimental simulation data is larger than or equal to a first preset error threshold value, checking the input geometric data and the mounting point data so as to optimize the multi-body dynamic whole vehicle model according to the checking result.
Further, the step of performing endurance test experiments on the whole vehicle under multiple working conditions to obtain the road spectrum load of the whole vehicle under each working condition, and decomposing the road spectrum load under each working condition based on the calibrated multi-body dynamics whole vehicle model to obtain the time domain road spectrum load of each mounting point in the electric drive bridge system of the whole vehicle, wherein each time domain road spectrum load corresponds to one working condition comprises the following steps:
after road spectrum loads of all installation points under all working conditions are collected, sequentially inputting the road spectrum loads into the multi-body dynamic whole vehicle model so that the multi-body dynamic whole vehicle model can calculate a whole vehicle transfer function according to the road spectrum loads;
and calculating the stress-time change history of each mounting point under each working condition based on the whole vehicle transfer function.
Further, the step of generating a peak load matrix according to the time domain road spectrum load of each installation point under each working condition includes:
traversing the stress-time change process of each mounting point under each working condition to obtain the stress amplitude of each mounting point under each working condition, wherein the stress amplitude comprises a stress peak value and a stress valley value;
screening out a maximum stress value from all stress-time change courses corresponding to each mounting point according to the stress peak value and the stress valley value, and screening out a target stress-time change course from all stress-time change courses according to the maximum stress value corresponding to each mounting point, wherein the target stress-time change course comprises stress data corresponding to each mounting point;
and sequentially defining the numerical values in the peak load matrix according to all stress data in the target stress-time change process corresponding to each mounting point.
Further, the step of sequentially defining the numerical values in the peak load matrix according to all the stress data in the target stress-time change history corresponding to each mounting point includes:
defining column names and row names in the peak load matrix according to the names of the mounting points, sequentially filling all stress data in the same column according to the column names and target stress-time change processes corresponding to the column names, wherein all the stress data filled in the same column correspond to the row names one by one respectively.
Further, the step of generating a peak load matrix according to the time domain road spectrum load of each installation point under each working condition, and loading the peak load matrix according to the built finite element model to perform strength analysis on the electrically driven bridge system comprises:
acquiring component parts of the electrically-driven bridge system, constructing a geometric model corresponding to the electrically-driven bridge system according to the component parts of the electrically-driven bridge system, carrying out mesh division according to each entity unit in the geometric model, and carrying out material attribute definition on the entity units subjected to mesh division to obtain the finite element model, wherein the entity units correspond to the component parts one to one, and the material attributes comprise elastic modulus, poisson ratio and density parameters;
and importing the peak load matrix into the finite element model so that the finite element model performs various simulation tests according to the column names and all stress data corresponding to the column names to obtain stress data corresponding to each mounting point under each simulation test.
Further, the step of introducing the peak load matrix into the finite element model to perform a plurality of simulation tests on the finite element model according to the column names and all the stress data corresponding to the column names to obtain stress data corresponding to each mounting point under each simulation test further includes:
according to material attributes corresponding to the mounting points, a maximum stress value is called from a preset stress peak value association table, and whether all the stress data under the same mounting point are smaller than the maximum stress value or not is judged;
if all the stress data under the same installation point are smaller than the maximum stress value, judging that the strength result under the installation point is qualified;
and if all the stress data under the same mounting point are greater than or equal to the maximum stress value, determining that the strength result under the mounting point is unqualified, and performing material and structure optimization on the mounting point with the unqualified strength result.
An electrically driven bridge system strength analysis system according to an embodiment of the present invention, the system comprising:
the digital model building module is used for obtaining the geometric data and the mounting point data of the whole vehicle and building a multi-body dynamics whole vehicle model corresponding to the whole vehicle according to the geometric data and the mounting point data;
the digital model optimization module is used for acquiring KC test data of the whole vehicle obtained by a KC test bench so as to perform benchmarking on the multi-body dynamics whole vehicle model according to the KC test data;
the load data decomposition module is used for carrying out endurance test experiments on the whole vehicle under multiple working conditions so as to obtain road spectrum loads of the whole vehicle under all the working conditions, decomposing the road spectrum loads under all the working conditions based on the marked multi-body dynamics whole vehicle model so as to obtain time domain road spectrum loads of all the installation points in an electric drive bridge system of the whole vehicle, wherein each time domain road spectrum load corresponds to one working condition;
and the strength testing module is used for generating a peak load matrix according to the time domain road spectrum load of each mounting point under each working condition, and loading the peak load matrix according to the built finite element model so as to carry out strength analysis on the electrically driven bridge system.
In another aspect, the present invention further provides a storage medium, which includes one or more programs stored thereon, and when executed, the method for analyzing the strength of an electric bridge system is implemented.
Another aspect of the present invention also provides a test apparatus comprising a memory and a processor, wherein:
the memory is used for storing computer programs;
the processor is used for implementing the strength analysis method of the electric bridge driving system when executing the computer program stored in the memory.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a strength analysis method for an electric-driven bridge system according to a first embodiment of the present invention;
FIG. 2 is a schematic view of a multi-body dynamics vehicle model according to a first embodiment of the present invention;
FIG. 3 is a flow chart of a strength analysis method for an electrically driven bridge system according to a second embodiment of the present invention;
FIG. 4 is a schematic view of tire runout distance data in a second embodiment of the present invention;
FIG. 5 is a diagram showing the force-time history at the mounting point in the second embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electrically driven bridge system strength analysis system according to a third embodiment of the present invention.
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully hereinafter with reference to the accompanying drawings. Several embodiments of the invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1, a flowchart of a strength analysis method of an electric-driven bridge system according to a first embodiment of the present invention is shown, the method includes steps S01 to S04, wherein:
step S01: acquiring geometric data and mounting point data of a finished automobile, and constructing a multi-body dynamic finished automobile model corresponding to the finished automobile according to the geometric data and the mounting point data;
it can be understood that the geometric data refer to complete vehicle data, for example, size structure parameters of components such as a vehicle body, a chassis, an engine gearbox and the like, and the mounting points are also called hard points, in the actual test process, the hard points are generally selected according to different component structures, for example, for a shock absorber in the shock absorber, if the shock absorber is an integral shock absorber, the intersection point of a mounting plane on an upper support of the shock absorber and a mounting part and the axis of the shock absorber is generally taken, if the shock absorber is a split shock absorber, the center of the axis of a mounting hole on the mounting part of the shock absorber is generally taken, and after selection is completed, data of each mounting point is obtained, and then a multi-body dynamic vehicle model shown in fig. 2 is constructed according to vehicle data and mounting point data.
Step S02: acquiring KC test data of the whole vehicle obtained by a KC test bench, and calibrating the multi-body dynamics whole vehicle model according to the KC test data;
it should be noted that, in order to verify the accuracy of the built multi-body dynamic vehicle model, after the multi-body dynamic vehicle model is built, the multi-body dynamic vehicle model is also subjected to benchmarking to judge whether the adopted installation point data and the vehicle data are within the error, so that the simulation effect of the multi-body dynamic vehicle model is more accurate and reliable.
Step S03: carrying out endurance test experiments on the whole vehicle under multiple working conditions to obtain road spectrum loads of the whole vehicle under each working condition, decomposing the road spectrum loads under each working condition based on the marked multi-body dynamics whole vehicle model to obtain time domain road spectrum loads of each mounting point in an electric drive bridge system of the whole vehicle, wherein each time domain road spectrum load corresponds to one working condition;
in the step, the working conditions include but are not limited to short wave circuit working conditions, long wave circuit working conditions, twisted circuit working conditions, bump circuit working conditions, stone circuit working conditions, washboard circuit working conditions and the like, the whole vehicle durability test experiment is carried out under the working conditions, then the road spectrum load of the whole vehicle under each working condition is obtained, the road spectrum load is decomposed by using a multi-body dynamics whole vehicle model constructed by the data of the mounting points, then each mounting point can decompose corresponding and accurate time domain road spectrum load, and the problems of inaccurate load and incomplete load of the mounting points are avoided.
Step S04: and generating a peak load matrix according to the time domain road spectrum load of each mounting point under each working condition, and loading the peak load matrix according to the built finite element model so as to carry out strength analysis on the electric drive bridge system.
It should be noted that, based on the peak load matrix newly proposed in this embodiment, the matrix is directly used for the strength risk assessment of the electric drive bridge system due to the correlation with the load road spectrum obtained in the endurance test, so that the number of times of the endurance test of the entire vehicle can be reduced, the expensive test site cost of the endurance test of the entire vehicle can be saved, the huge investment for modifying the die and re-designing due to the failure of the electric drive bridge system can be reduced, the development cost can be saved, and the reliability of the electric drive bridge system can be improved, so as to provide a new energy pickup with high reliability.
In conclusion, according to the strength analysis method of the electrically-driven bridge system, a brand-new strength analysis method is designed to replace the traditional strength test method, and the strength analysis method has the advantages of short test period and high test accuracy. The method comprises the steps of firstly obtaining various parameters of a whole vehicle, constructing a multi-body dynamics whole vehicle model according to the parameters, simultaneously carrying out KC test to obtain KC test data, further carrying out benchmarking optimization on the obtained multi-body dynamics whole vehicle model, carrying out endurance test experiments on a plurality of whole vehicles under a plurality of working conditions, further obtaining a plurality of road spectrum loads, simultaneously decomposing all road spectrum loads by using the calibrated multi-body dynamics whole vehicle model to avoid the problems of inaccurate loads and incomplete loads of mounting points, further obtaining time domain road spectrum loads of the mounting points, further generating a peak load matrix by using the time domain road spectrum loads under each working condition, and carrying out intensity analysis based on the peak load matrix.
Referring to fig. 3, a flow chart of a strength analysis method of an electrically driven bridge system according to a second embodiment of the present invention is shown, the method includes steps S101 to S110, wherein:
step S101: acquiring geometric data and mounting point data of a finished automobile, and constructing a multi-body dynamic finished automobile model corresponding to the finished automobile according to the geometric data and the mounting point data;
step S102: acquiring test conditions of the KC test, and inputting the test conditions into the multi-body dynamics whole vehicle model to obtain various experimental simulation data, wherein the experimental simulation data comprises tire jumping distance, tire inclination distance, tire toe angle and rear tire backward tilting data;
step S103: calculating data errors of various experimental simulation data and the KC test data, and judging whether the data errors of any experimental simulation data are smaller than a first preset error threshold value;
step S104: if the data error of at least one experimental simulation data is larger than or equal to a first preset error threshold value, checking input geometric data and mounting point data so as to optimize the multi-body dynamics whole vehicle model according to a checking result;
referring to fig. 4, a schematic diagram of tire runout distance data is shown, in which a solid line is KC test data (test result), a dotted line is experimental simulation data (simulation result), and multiple data corresponding to the two are obtained and compared to obtain whether a data error of the experimental simulation data is within an allowable range, so as to complete a comprehensive check of a multi-body dynamic vehicle model, in this embodiment, the KC test is regarded as a standard experimental test, the multi-body dynamic vehicle model is regarded as a simulation experimental test, and the test conditions of the two are controlled to be the same, so as to compare whether the test data obtained by the two are within an error range, if all the test data are within the error range, it is determined that the obtained vehicle data and vehicle data are more accurate, if at least one test data is outside the error, it is determined that a large deviation may exist in the vehicle data or the mounting point data previously obtained, at this time, it is necessary to trace the vehicle data and the mounting point data for optimization, and such a cycle is repeated until all the data errors are within the allowable range, so as to accurately determine whether the obtained multi-body dynamic vehicle model is more accurate and reliable,
step S105: after road spectrum loads of all installation points under all working conditions are collected, sequentially inputting the road spectrum loads into the multi-body dynamic whole vehicle model so that the multi-body dynamic whole vehicle model can calculate a whole vehicle transfer function according to the road spectrum loads;
step S106: calculating stress-time change history of each mounting point under each working condition based on the whole vehicle transfer function;
please refer to fig. 5, which shows a stress-time change history diagram of a mounting point in this embodiment, it should be noted that the stress-time change history represents a time-domain road spectrum load, when a durability experiment is performed on the entire vehicle under multiple working conditions, the road spectrum load is further obtained, and then the obtained road spectrum load is input into a standard multi-body dynamic entire vehicle model to complete the decomposition of the road spectrum load, for example, for a wheel center mounting point, the wheel center road spectrum load is input, a transfer function of the entire vehicle is calculated by a virtual iteration technique, and the stress of each working condition of the electric drive rear axle is calculated based on the function.
Step S107: traversing the stress-time change process of each mounting point under each working condition to obtain the stress amplitude of each mounting point under each working condition, wherein the stress amplitude comprises a stress peak value and a stress valley value;
step S108: screening out a maximum stress value from all stress-time change courses corresponding to each mounting point according to the stress peak value and the stress valley value, and screening out a target stress-time change course from all stress-time change courses according to the maximum stress value corresponding to each mounting point, wherein the target stress-time change course comprises stress data corresponding to each mounting point;
in order to comprehensively evaluate the strength risk possibly existing in the durability of the whole vehicle, in this embodiment, after the time domain road spectrum load of each point under each working condition is obtained, all the time domain road spectrum loads are traversed to extract the stress amplitude of each mounting point under each working condition, and then the maximum stress value is screened out.
Step S109: sequentially defining numerical values in the peak load matrix according to all stress data in the target stress-time change process corresponding to each mounting point;
it should be noted that, the specific steps of defining the values in the peak load matrix are as follows: defining column names and row names in the peak load matrix according to the names of the mounting points, sequentially filling all stress data in the same column according to the column names and target stress-time change processes corresponding to the column names, wherein all the stress data filled in the same column correspond to the row names one by one respectively. Please refer to table 1 below, which shows a schematic diagram of a peak load matrix in this embodiment (some column values are not given), where a load point is a mounting point, data with a shaded portion is a maximum stress value of the corresponding mounting point, for example, a first column and a first row of the peak load matrix shown in table 1 are maximum stress values of a wheel center-Lfx, and subsequent values are stress data of other mounting points in a target stress-time change history locked by the maximum stress value.
TABLE 1
Step S110: and importing the peak load matrix into the finite element model so that the finite element model performs various simulation tests according to the column names and all stress data corresponding to the column names to obtain stress data corresponding to each mounting point under each simulation test.
Specifically, in this embodiment, the step of constructing the finite element model includes: acquiring component parts of the electrically-driven bridge system, constructing a geometric model corresponding to the electrically-driven bridge system according to the component parts of the electrically-driven bridge system, carrying out mesh division according to each entity unit in the geometric model, and defining material properties of the entity units subjected to mesh division to obtain the finite element model, wherein the entity units correspond to the component parts one to one, and the material properties comprise elastic modulus, poisson ratio and density parameters; it can be understood that after the finite element model is built, the peak load matrix can be loaded to start the strength analysis of the electric drive bridge, and obtain the strength analysis result, namely the stress data, so as to optimize the material and the structure of the electric drive bridge system according to the strength analysis result, specifically:
after the strength analysis result is obtained, a maximum stress value is called from a preset stress peak value association table according to the material attribute corresponding to each mounting point, and whether all the stress data under the same mounting point are smaller than the maximum stress value is judged; the preset stress peak value association table is composed of each material attribute and a maximum stress value corresponding to the material attribute. If all the stress data under the same installation point are smaller than the maximum stress value, the strength result under the installation point is judged to be qualified; and if all the stress data under the same mounting point are greater than or equal to the maximum stress value, determining that the strength result under the mounting point is unqualified, and performing material and structure optimization on the mounting point with the unqualified strength result.
In conclusion, according to the strength analysis method of the electrically driven bridge system, a brand new strength analysis method is designed to replace the traditional strength test method, and the method has the advantages of short test period and high test accuracy. The method comprises the steps of firstly obtaining various parameters of a whole vehicle, constructing a multi-body dynamics whole vehicle model according to the parameters, simultaneously carrying out KC test to obtain KC test data, further carrying out standard optimization on the obtained multi-body dynamics whole vehicle model, carrying out durability test experiments on a plurality of whole vehicles under a plurality of working conditions to further obtain a plurality of road spectrum loads, simultaneously decomposing all road spectrum loads by using the standard multi-body dynamics whole vehicle model to avoid the problems of inaccurate loads and incomplete loads of mounting points, further obtaining time domain road spectrum loads of the mounting points, further generating a peak load matrix by using the time domain road spectrum loads under each working condition, and carrying out strength analysis based on the peak load matrix.
Referring to fig. 6, a schematic structural diagram of a strength analysis system of an electrically-driven bridge system according to a third embodiment of the present invention is shown, the system including:
the digital model building module 10 is used for obtaining the geometric data and the mounting point data of the whole vehicle and building a multi-body dynamics whole vehicle model corresponding to the whole vehicle according to the geometric data and the mounting point data;
the digital model optimization module 20 is used for acquiring KC test data of the whole vehicle obtained by a KC test bench so as to perform benchmarking on the multi-body dynamics whole vehicle model according to the KC test data;
further, the digital model optimization module 20 further includes:
the system comprises an experiment simulation data acquisition unit, a data acquisition unit and a data processing unit, wherein the experiment simulation data acquisition unit is used for acquiring the test conditions of the KC test and inputting the test conditions into the multi-body dynamics whole vehicle model to obtain various experiment simulation data, and the experiment simulation data comprises the tire jumping distance, the tire inclination distance, the tire toe-in angle and the rear tire backward tilting data;
the data error calculation unit is used for calculating data errors of various experimental simulation data and the KC test data and judging whether the data errors of any experimental simulation data are smaller than a first preset error threshold value or not;
and the model parameter optimization unit is used for checking the input geometric data and the mounting point data if the data error of at least one kind of experimental simulation data is greater than or equal to a first preset error threshold value, so as to optimize the multi-body dynamic vehicle model according to the checking result.
The load data decomposition module 30 is used for performing endurance test experiments on the whole vehicle under multiple working conditions to obtain road spectrum loads of the whole vehicle under each working condition, decomposing the road spectrum loads under each working condition based on the marked multi-body dynamics whole vehicle model to obtain time domain road spectrum loads of each mounting point in an electric drive bridge system of the whole vehicle, wherein each time domain road spectrum load corresponds to one working condition;
further, the payload data decomposition module 30 further includes:
the road spectrum load calculation unit is used for sequentially inputting the road spectrum loads into the multi-body dynamic whole vehicle model after collecting the road spectrum loads of all the installation points under all the working conditions, so that the multi-body dynamic whole vehicle model calculates a whole vehicle transfer function according to the road spectrum loads;
and the time domain road spectrum load acquisition unit is used for calculating the stress-time change process of each installation point under each working condition based on the whole vehicle transfer function.
And the strength testing module 40 is used for generating a peak load matrix according to the time domain road spectrum load of each mounting point under each working condition, and loading the peak load matrix according to the built finite element model so as to perform strength analysis on the electrically driven bridge system.
Further, the strength testing module 40 further includes:
the stress amplitude extraction unit is used for traversing the stress-time change process of each mounting point under each working condition to obtain the stress amplitude of each mounting point under each working condition, and the stress amplitude comprises a stress peak value and a stress valley value;
the limiting working condition screening unit is used for screening a maximum stress value from all stress-time change histories corresponding to each mounting point according to the stress peak value and the stress valley value, so as to screen a target stress-time change history from all stress-time change histories according to the maximum stress value corresponding to each mounting point, wherein the target stress-time change history comprises stress data corresponding to each mounting point;
the matrix construction unit is used for sequentially defining numerical values in the peak load matrix according to all stress data in the target stress-time change process corresponding to each installation point;
further, the matrix building unit further includes:
and the numerical filling subunit is used for defining the column name and the row name in the peak load matrix by the name of each mounting point, filling all the stress data in the same column in sequence according to the column name and the target stress-time change process corresponding to the column name, wherein all the stress data filled in the same column correspond to the row name one by one respectively.
The finite element model building unit is used for obtaining the components of the electrically-driven bridge system, building a geometric model corresponding to the electrically-driven bridge system according to the components of the electrically-driven bridge system, carrying out mesh division according to each entity unit in the geometric model, and carrying out material attribute definition on the entity units subjected to mesh division to obtain the finite element model, wherein the entity units correspond to the components one to one, and the material attributes comprise elastic modulus, poisson ratio and density parameters;
and the strength analysis execution unit is used for importing the peak load matrix into the finite element model so as to enable the finite element model to carry out various simulation tests according to the column names and all stress data corresponding to the column names, and thus stress data corresponding to each mounting point under each simulation test is obtained.
Further, in some optional embodiments of the present invention, the system further comprises:
the stress data comparison module is used for calling a maximum stress value from a preset stress peak value association table according to the material attribute corresponding to each mounting point and judging whether all the stress data under the same mounting point are smaller than the maximum stress value;
the stress data judging module is used for judging that the strength result under the installation point is qualified if all the stress data under the same installation point are smaller than the maximum stress value;
and the strength optimization execution module is used for judging that the strength result under the mounting point is unqualified if all the stress data under the same mounting point is greater than or equal to the maximum stress value, and optimizing the material and the structure of the mounting point with the unqualified strength result.
In summary, according to the strength analysis system of the electrically driven bridge system, a brand new strength analysis method is designed to replace the traditional strength test method, and the strength analysis system has the advantages of short test period and high test accuracy. The method comprises the steps of firstly obtaining various parameters of a whole vehicle, constructing a multi-body dynamics whole vehicle model according to the parameters, simultaneously carrying out KC test to obtain KC test data, further carrying out standard optimization on the obtained multi-body dynamics whole vehicle model, carrying out durability test experiments on a plurality of whole vehicles under a plurality of working conditions to further obtain a plurality of road spectrum loads, simultaneously decomposing all road spectrum loads by using the standard multi-body dynamics whole vehicle model to avoid the problems of inaccurate loads and incomplete loads of mounting points, further obtaining time domain road spectrum loads of the mounting points, further generating a peak load matrix by using the time domain road spectrum loads under each working condition, and carrying out strength analysis based on the peak load matrix.
In another aspect, the present invention further provides a storage medium, on which one or more programs are stored, which when executed by a processor implement the method for analyzing strength of an electric drive bridge system as described above.
In another aspect, the present invention further provides a testing apparatus, which includes a memory and a processor, wherein the memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory, so as to implement the above-mentioned strength analysis method for an electric bridge system.
Those of skill in the art will understand that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following technologies, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is specific and detailed, but not to be construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the appended claims.
Claims (10)
1. A method for analyzing strength of an electrically driven bridge system, the method comprising:
acquiring geometric data and mounting point data of a finished automobile, and constructing a multi-body dynamic finished automobile model corresponding to the finished automobile according to the geometric data and the mounting point data, wherein the geometric data of the finished automobile at least comprises size structure parameters of an automobile body, a chassis and an engine gearbox;
acquiring KC test data of the whole vehicle obtained by a KC test bench, and calibrating the multi-body dynamics whole vehicle model according to the KC test data;
carrying out endurance test experiments on the whole vehicle under multiple working conditions to obtain road spectrum loads of the whole vehicle under each working condition, decomposing the road spectrum loads under each working condition based on the marked multi-body dynamics whole vehicle model to obtain time domain road spectrum loads of each mounting point in an electric drive bridge system of the whole vehicle, wherein each time domain road spectrum load corresponds to one working condition;
and generating a peak load matrix according to the time domain road spectrum load of each mounting point under each working condition, and loading the peak load matrix according to the built finite element model so as to carry out strength analysis on the electric drive bridge system.
2. The method for analyzing the strength of an electrically driven axle system according to claim 1, wherein the step of obtaining KC test data of the whole vehicle obtained at a KC test bench to calibrate the multi-body dynamic whole vehicle model according to the KC test data comprises:
obtaining the test conditions of the KC test, and inputting the test conditions into the multi-body dynamics whole vehicle model to obtain various experimental simulation data, wherein the experimental simulation data comprises tire jumping distance, tire inclination distance, tire toe angle and rear tire backward tilting data;
calculating data errors of various experimental simulation data and the KC test data, and judging whether the data errors of any experimental simulation data are smaller than a first preset error threshold value;
and if the data error of at least one type of experimental simulation data is larger than or equal to a first preset error threshold value, checking the input geometric data and the mounting point data so as to optimize the multi-body dynamics whole vehicle model according to the checking result.
3. The method for analyzing the strength of the electrically-driven bridge system according to claim 2, wherein the step of performing endurance test experiments on the vehicle under multiple working conditions to obtain road spectrum loads of the vehicle under each working condition, and decomposing the road spectrum loads under each working condition based on the calibrated multi-body dynamic vehicle model to obtain time-domain road spectrum loads of each mounting point in the electrically-driven bridge system of the vehicle, wherein each time-domain road spectrum load corresponds to one working condition comprises the steps of:
after road spectrum loads of all installation points under all working conditions are collected, sequentially inputting the road spectrum loads into the multi-body dynamic whole vehicle model so that the multi-body dynamic whole vehicle model can calculate a whole vehicle transfer function according to the road spectrum loads;
and calculating the stress-time change history of each mounting point under each working condition based on the whole vehicle transfer function.
4. The method for analyzing the strength of the electrically-driven bridge system according to claim 3, wherein the step of generating the peak load matrix according to the time-domain road spectrum load of each mounting point under each working condition comprises the following steps:
traversing the stress-time change process of each mounting point under each working condition to obtain the stress amplitude of each mounting point under each working condition, wherein the stress amplitude comprises a stress peak value and a stress valley value;
screening out a maximum stress value from all stress-time change processes corresponding to each mounting point according to the stress peak value and the stress valley value, and screening out a target stress-time change process from all stress-time change processes according to the maximum stress value corresponding to each mounting point, wherein the target stress-time change process comprises stress data corresponding to each mounting point;
and sequentially defining the numerical values in the peak load matrix according to all stress data in the target stress-time change process corresponding to each mounting point.
5. The method for analyzing the strength of an electrically driven bridge system according to claim 4, wherein the step of sequentially defining the values in the peak load matrix according to all the force data in the target force-time change history corresponding to each mounting point comprises:
defining column names and row names in the peak load matrix by the name of each mounting point, sequentially filling all stress data in the same column according to the column names and target stress-time change processes corresponding to the column names, wherein all the stress data filled in the same column respectively correspond to the row names one by one.
6. The method for analyzing the strength of the electrically-driven bridge system according to claim 5, wherein the step of generating a peak load matrix according to the time-domain road spectrum load of each installation point under each working condition and loading the peak load matrix according to the built finite element model so as to analyze the strength of the electrically-driven bridge system comprises the following steps:
acquiring component parts of the electrically-driven bridge system, constructing a geometric model corresponding to the electrically-driven bridge system according to the component parts of the electrically-driven bridge system, carrying out mesh division according to each entity unit in the geometric model, and defining material properties of the entity units subjected to mesh division to obtain the finite element model, wherein the entity units correspond to the component parts one to one, and the material properties comprise elastic modulus, poisson ratio and density parameters;
and importing the peak load matrix into the finite element model so that the finite element model performs various simulation tests according to the column names and all stress data corresponding to the column names to obtain stress data corresponding to each mounting point under each simulation test.
7. The method for analyzing strength of an electric drive bridge system according to claim 6, wherein the step of introducing the peak load matrix into the finite element model to enable the finite element model to perform a plurality of simulation tests according to column names and all stress data corresponding to the column names to obtain stress data corresponding to each mounting point under each simulation test is further followed by the step of:
the maximum stress value is called from a preset stress peak value association table according to the material attribute corresponding to each mounting point, and whether all the stress data under the same mounting point are smaller than the maximum stress value is judged;
if all the stress data under the same installation point are smaller than the maximum stress value, judging that the strength result under the installation point is qualified;
and if all the stress data under the same mounting point are greater than or equal to the maximum stress value, determining that the strength result under the mounting point is unqualified, and performing material and structure optimization on the mounting point with the unqualified strength result.
8. An electrically driven bridge system strength analysis system, the system comprising:
the digital model building module is used for obtaining geometric data and mounting point data of a whole vehicle and building a multi-body dynamic whole vehicle model corresponding to the whole vehicle according to the geometric data and the mounting point data, wherein the geometric data of the whole vehicle at least comprises size structure parameters of a vehicle body, a chassis and an engine gearbox;
the digital model optimization module is used for acquiring KC test data of the whole vehicle obtained by a KC test bench so as to perform benchmarking on the multi-body dynamics whole vehicle model according to the KC test data;
the load data decomposition module is used for carrying out endurance test experiments on the whole vehicle under multiple working conditions to obtain road spectrum loads of the whole vehicle under each working condition, decomposing the road spectrum loads under each working condition based on the marked multi-body dynamics whole vehicle model to obtain time domain road spectrum loads of each mounting point in an electric drive bridge system of the whole vehicle, and each time domain road spectrum load corresponds to one working condition;
and the strength testing module is used for generating a peak load matrix according to the time domain road spectrum load of each mounting point under each working condition, and loading the peak load matrix according to the built finite element model so as to carry out strength analysis on the electrically driven bridge system.
9. A storage medium, comprising: the storage medium stores one or more programs which, when executed by a processor, implement the method for strength analysis of an electric drive bridge system according to any one of claims 1 to 7.
10. A test apparatus, characterized in that the test apparatus comprises a memory and a processor, wherein:
the memory is used for storing computer programs;
the processor is configured to implement the method for analyzing strength of an electric bridge system according to any one of claims 1 to 7 when executing the computer program stored in the memory.
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