Optimization method, device, electronic equipment and medium for automobile collision simulation model

Abstract

The present invention relates to the field of vehicle collision safety simulation, and in particular, to an optimization method, device, electronic device and medium for a vehicle collision simulation model. The optimization method comprises: determining an initial simulation model according to a collision test condition and whether a finite element unit performs energy transfer under the collision test condition; determining an effective simulation model according to the offset between a collision simulation curve of the initial simulation model and a reference curve; determining a qualified simulation model according to the deviation between a collision simulation curve of the effective simulation model and a reference curve; the deviation comprises an area deviation, a maximum amplitude deviation, a maximum slope deviation and a root mean square deviation. The present invention can ensure calculation accuracy while realizing model benchmarking and optimization process and platformization, which can save more than three quarters of benchmarking and optimization time.

Description

Technical Field

[0001] The present invention relates to the field of vehicle collision safety simulation, and in particular to an optimization method, device, electronic equipment and medium for an automobile collision simulation model. Background Art

[0002] The simulation of vehicle collision scenarios is mainly achieved through computer simulation software. By simulating the deformation of the vehicle body structure during a collision, the structure and restraint system are analyzed and optimized to improve vehicle safety. However, the current challenge facing vehicle structure design and optimization is the high cost of model benchmarking and optimization.

[0003] At present, the finite element method is mainly used for simulation of vehicle structure safety at home and abroad, and the software involved includes Ls-dyna, Pam-carsh, Ridios, etc. When the finite element method is used, the calculation time is long due to the large number of grids in the vehicle model, which generally takes at least 24 hours, and the vehicle structure benchmarking and optimization requires a large number of case analyses. Therefore, the overall calculation cycle is long and the analysis efficiency is low.

[0004] In view of this, the present invention is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an optimization method, device, electronic equipment and medium for an automobile collision simulation model to solve the problems of long collision simulation calculation cycle and low analysis efficiency existing in the prior art.

[0006] In order to achieve the above object, the present invention adopts the following technologies:

[0007] In a first aspect, the present invention provides a method for optimizing a vehicle collision simulation model, comprising:

[0008] determining an initial simulation model according to a collision test condition and whether a finite element unit performs energy transfer under the collision test condition;

[0009] Determining a valid simulation model according to a deviation between a collision simulation curve of the initial simulation model and a reference curve;

[0010] A qualified simulation model is determined according to the deviation between the collision simulation curve of the effective simulation model and the reference curve; the deviation includes area deviation, maximum amplitude deviation, maximum slope deviation and root mean square deviation.

[0011] As a further preferred technology, the determining of the initial simulation model according to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions includes:

[0012] Construct model parameter matrix;

[0013] According to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions, the values ​​of each parameter in the model parameter matrix are determined, and then the initial simulation model is obtained.

[0014] As a further preferred technique, the model parameter matrix is:

[0015] ; where M is the model parameter matrix, m xi is the material factor of finite element i, is the energy distribution factor of finite element i in the x direction, is the energy distribution factor of finite element i in the y direction, is the finite element i in The energy distribution factor in the direction, is the energy distribution factor of finite element i in the z direction, is the finite element i in Energy distribution factor in direction, i=1,2,...,n, + + + + =1;

[0016] ;in, m x It is a component x The material factor, ρ x It is a component x The mass density, Y x , G x and K x The components are x Young's modulus, shear modulus and bulk modulus, , and The components are x Yield strength, ultimate strength and breaking point, v x It is a component x Poisson's ratio.

[0017] As a further preferred technology, determining the effective simulation model according to the deviation between the collision simulation curve of the initial simulation model and the reference curve includes:

[0018] Construct the offset expression;

[0019] Determining the degree of deviation between the collision simulation curve of the initial simulation model and the reference curve according to the collision simulation curve of the initial simulation model, the reference curve and the degree of deviation expression;

[0020] An effective simulation model is determined according to the deviation.

[0021] As a further preferred technique, the deviation expression is:

[0022] , d n =v refn -v estn ,

[0023] Where S is the degree of deviation, i, j and k are the number of time intervals recorded in each collision waveform; a, b and c represent the collision waveforms recorded by three different acceleration sensors; d n Yes n The y-intercept between the reference signal and the collision simulation signal at the moment, v refn t n The y-intercept of the reference signal at time instant, v estn t n The y-intercept of the collision simulation signal at time instant.

[0024] As a further preferred technology, the method of determining a qualified simulation model according to a deviation between a collision simulation curve of the effective simulation model and a reference curve includes:

[0025] Construct termination condition expression;

[0026] Determining a deviation between the collision simulation curve of the effective simulation model and the reference curve according to the collision simulation curve of the effective simulation model, the reference curve and the termination condition expression;

[0027] According to the deviation, a qualified simulation model is determined.

[0028] As a further preferred technique, the termination condition expression is: , where R is the termination condition, , , and are the differences between the area deviation, maximum amplitude deviation, maximum slope deviation and RMS deviation curves calculated currently and previously, respectively, and a, b, c and d are regression coefficients;

[0029] ; Q(x) is the collision simulation curve of the effective simulation model, P(x) is the reference curve, p and q are the starting value and ending value of P(x) and Q(x) in the time history, and A is the area deviation;

[0030] , MAG is the maximum deviation of amplitude;

[0031] , SLO is the maximum slope deviation, C ts+d 、T ts+d They are the derivative sequence functions of Q(x) and P(x) at each moment respectively;

[0032] , RM is the root mean square deviation, p x and q x is P(x) and Q(x) at time t x The extreme value of .

[0033] In a second aspect, the present invention provides an optimization device for a vehicle collision simulation model, comprising:

[0034] An initial simulation model building module, used to determine an initial simulation model according to a collision test condition and whether a finite element unit performs energy transfer under the collision test condition;

[0035] An effective simulation model building module, used to determine an effective simulation model according to the deviation between the collision simulation curve of the initial simulation model and the reference curve;

[0036] The qualified simulation model construction module determines the qualified simulation model according to the deviation between the collision simulation curve of the effective simulation model and the reference curve; the deviation includes area deviation, maximum amplitude deviation, maximum slope deviation and root mean square deviation.

[0037] In a third aspect, the present invention provides an electronic device, comprising:

[0038] at least one processor, and a memory communicatively coupled to at least one of the processors;

[0039] The memory stores instructions that can be executed by at least one of the processors, and the instructions are executed by at least one of the processors so that at least one of the processors can perform the above method.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to enable a computer to execute the above method.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The optimization method of the automobile collision simulation model provided by the present invention determines the initial simulation model according to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions; determines the effective simulation model according to the offset between the collision simulation curve of the initial simulation model and the reference curve; determines the qualified simulation model according to the deviation between the collision simulation curve of the effective simulation model and the reference curve; the deviation includes area deviation, maximum amplitude deviation, maximum slope deviation and root mean square deviation. The method first determines the initial simulation model, then determines the effective simulation model based on the offset, and finally determines the qualified simulation model based on the deviation, thereby achieving the purpose of model simplification and dimensionality reduction, significantly reducing the number of examples, and thus shortening the simulation calculation cycle and improving analysis efficiency. The method of the present invention can ensure the calculation accuracy while realizing the model benchmarking and optimization process and platformization, which can save more than three quarters of the benchmarking and optimization time, and the added cost in vehicle development is almost zero, and does not affect the development cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the specific embodiments of the present invention or the technology in the prior art, the drawings required for use in the specific embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 It is a schematic flow chart of the optimization method of the automobile collision simulation model provided by the present invention;

[0045] Figure 2 is a schematic diagram of the deviation evaluation of the estimated signal and the reference signal in the present invention;

[0046] Figure 3a It is a structural schematic diagram of the area deviation between the collision simulation curve and the reference curve of one of the effective simulation models;

[0047] Figure 3b It is a structural schematic diagram of the area deviation between the collision simulation curve and the reference curve of the second effective simulation model;

[0048] Figure 3c It is a structural schematic diagram of the area deviation between the collision simulation curve and the reference curve of the effective simulation model 3;

[0049] Figure 4 It is a structural schematic diagram of an optimization device for a car collision simulation model provided by the present invention;

[0050] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0051] The following is a description of exemplary embodiments of the present application in conjunction with the accompanying drawings, including various details of the embodiments of the present application to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0052] Example 1

[0053] Figure 1 It is a flow chart of an optimization method for a car collision simulation model provided in this embodiment. The method can be executed by an optimization device for a car collision simulation model. The device can be composed of software and / or hardware and is generally integrated in an electronic device. The electronic device can be an electronic computer, a smart phone, a tablet computer, etc. For ease of understanding, each step in the control method of this embodiment is executed by an electronic computer.

[0054] like Figure 1 As shown, this embodiment provides a method for optimizing a vehicle collision simulation model, comprising the following steps:

[0055] S110 , determining an initial simulation model according to a collision test condition and whether a finite element unit performs energy transfer under the collision test condition.

[0056] Among them, the collision test conditions include 50 km 100% frontal collision (50FRB), 50 km 40% overlap deformable barrier collision (64ODB), 50% overlap moving progressive deformation barrier collision test (50MPDB), 60 km side collision (60AEMDB), 32 km cylindrical collision (32POLE) and other conditions.

[0057] Optionally, determining the initial simulation model according to the collision test condition and whether the finite element unit performs energy transfer under the collision test condition includes:

[0058] Construct model parameter matrix;

[0059] According to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions, the values ​​of each parameter in the model parameter matrix are determined, and then the initial simulation model is obtained.

[0060] Optionally, the model parameter matrix is:

[0061] ; where M is the model parameter matrix, m xi is the material factor of finite element i, is the energy distribution factor of finite element i in the x direction, is the energy distribution factor of finite element i in the y direction, is the finite element i in The energy distribution factor in the direction, is the energy distribution factor of finite element i in the z direction, is the finite element i in Energy distribution factor in direction, i=1,2,...,n, + + + + =1;

[0062] ;in, m x It is a component x The material factor, ρ x It is a component x The mass density, Y x , G x and K x The components are x Young's modulus, shear modulus and bulk modulus, , and The components are x Yield strength, ultimate strength and breaking point, v x It is a component x Poisson's ratio.

[0063] During a collision, the finite element unit that makes up the vehicle includes two parts: energy absorption and energy transfer. Since the vehicle collision condition satisfies the law of energy conservation, the sum of the absorbed energy and the transferred energy is equal to the collision energy. Therefore, this embodiment proposes to set six configurable parameters for each unit of the vehicle. If there are n units in a simulation condition environment, the matrix of configurable parameters can be written as the above-mentioned model parameter matrix M.

[0064] in, , is the energy transmitted by the finite element in the m direction, m=x,y,y',z,z', E trans is the total transmitted energy of the finite element.

[0065] Since there are many finite element units in the vehicle, the amount of calculation is huge, so dimensionality reduction processing is required. In this step, the values ​​of each parameter in the model parameter matrix are determined based on the collision test conditions and whether the finite element units transfer energy under the collision test conditions. For example: 1. Based on the law of conservation of energy, when energy cannot be transferred, the energy distribution factor is set to 0; 2. Force transmission is prohibited for secondary area units. For example, in the small overlap collision test condition on the driver's side, the unit at the front of the co-pilot side of the vehicle hardly transmits force. Therefore, no parameters are defined for this position, and all parameter values ​​are 0; 3. Since units with energy input will transfer energy to adjacent units, the parameter definition focuses on the interaction parameters between units. Once the values ​​of each parameter are determined, the initial simulation model can be determined.

[0066] S120: Determine a valid simulation model according to a deviation between a collision simulation curve of the initial simulation model and a reference curve.

[0067] The above-mentioned deviation refers to the percentage of the difference between the y-intercept of each point on the collision simulation curve and the y-intercept of each point on the reference curve to the y-intercept of each point on the reference curve.

[0068] Optionally, determining the effective simulation model according to the deviation between the collision simulation curve of the initial simulation model and a reference curve includes:

[0069] Construct the offset expression;

[0070] Determining the degree of deviation between the collision simulation curve of the initial simulation model and the reference curve according to the collision simulation curve of the initial simulation model, the reference curve and the degree of deviation expression;

[0071] An effective simulation model is determined according to the deviation.

[0072] Optionally, the deviation expression is:

[0073] , d n =v refn -v estn ,

[0074] Where S is the degree of deviation, i, j and k are the number of time intervals recorded in each collision waveform; a, b and c represent the collision waveforms recorded by three different acceleration sensors; d n Yes n The y-intercept between the reference signal and the collision simulation signal at the moment, v refn t n The y-intercept of the reference signal at time instant, v estn t n The y-intercept of the collision simulation signal at time instant.

[0075] Since at least three acceleration sensors are installed in the vehicle collision model, the sensors at three locations can record three collision waveforms at their respective locations. The offset expression proposed in this embodiment is completed by comparing the collision simulation curve (estimated signal) of the initial simulation model with the reference curve (reference signal). The reference curve is the waveform curve of the original model. The collision waveform signal curve used for comparison is the velocity waveform curve, which can be obtained by integrating the acceleration output by the acceleration sensor. Figure 2 Shown is a schematic diagram of the deviation evaluation between the collision simulation curve (estimated signal) of the initial simulation model and the reference curve (reference signal).

[0076] Generally, only one position waveform is required for evaluation. However, as the number of waveforms to be evaluated increases, the evaluation accuracy will be significantly improved. Generally, no more than three waveforms will be evaluated.

[0077] Take the output of a sensor as an example for evaluation. First, define the frequency of the curve of the sensor and the reference signal to be consistent, such as 2000Hz in this example, and the time interval of each iteration is 0.5ms. Then, the scheme is screened by evaluating whether the vector of the intercept value between the reference signal and the estimated signal at a certain moment is within the specified range. If the vector is within a specific percentage channel range of the reference signal curve, the evaluation scheme is considered valid. If it is not within the channel range, the scheme is considered invalid.

[0078] Furthermore, this embodiment defines the range of S to be within 40% of the positive and negative offsets of the reference signal curve, that is, the evaluation scheme is effective.

[0079] Furthermore, during the screening process, extremely poor results may occur, and poor solutions need to be filtered out. Define an unacceptable range for S. When the S value reaches the unacceptable range, it is necessary to delete the S110 model parameter matrix that contains the current event. This embodiment recommends that the unacceptable range S is greater than 70% of the positive and negative deviations of the reference signal curve.

[0080] S130. Determine a qualified simulation model according to the deviation between the collision simulation curve of the effective simulation model and the reference curve; the deviation includes area deviation, maximum amplitude deviation, maximum slope deviation and root mean square deviation.

[0081] The deviation of this embodiment combines the area deviation, the maximum amplitude deviation, the maximum slope deviation and the root mean square deviation, so the screening of the model is more accurate. Figure 3a , Figure 3b , Figure 3cShown is the area deviation between the collision simulation curves of different effective simulation models and the reference curve (the solid line in the figure is the collision simulation curve of the effective simulation model, and the dotted line is the reference curve). It can be seen that the areas enclosed by the curves are almost the same, but there are obvious differences in the quality of the curves. Therefore, it can be proved that there are loopholes in using only area deviation screening, and similar situations also exist when using only one other deviation screening.

[0082] Optionally, determining a qualified simulation model according to a deviation between a collision simulation curve of the effective simulation model and a reference curve includes:

[0083] Construct termination condition expression;

[0084] Determining a deviation between the collision simulation curve of the effective simulation model and the reference curve according to the collision simulation curve of the effective simulation model, the reference curve and the termination condition expression;

[0085] According to the deviation, a qualified simulation model is determined.

[0086] Optionally, the termination condition expression is: , where R is the termination condition, , , and are the differences between the area deviation, maximum amplitude deviation, maximum slope deviation and RMS deviation curves calculated currently and previously, respectively, and a, b, c and d are regression coefficients;

[0087] ; Q(x) is the collision simulation curve of the effective simulation model, P(x) is the reference curve, p and q are the starting value and ending value of P(x) and Q(x) in the time history, and A is the area deviation;

[0088] , MAG is the maximum deviation of amplitude;

[0089] , SLO is the maximum slope deviation, C ts+d 、T ts+d They are the derivative sequence functions of Q(x) and P(x) at each moment respectively;

[0090] , RM is the root mean square deviation, p x and q x is P(x) and Q(x) at time t x The extreme value of .

[0091] It should be understood that the above a, b, c, and d can be obtained by using regression analysis.

[0092] Furthermore, an acceptable accuracy range is defined for R, and by fine-tuning the parameters in the model parameter matrix in S110, once the R value reaches the defined threshold, it is determined that the state of fitting between the collision waveform and the reference signal has reached the target, thereby reaching the termination condition. This embodiment recommends R≤0.2.

[0093] Furthermore, in the process of computational learning, extremely poor computational results may occur, so it is necessary to filter out poor solutions. Define an unacceptable accuracy range for R. When the R value reaches the unacceptable range, delete the model parameter matrix in S110 that contains the current event. All schemes of the coefficients terminate the event. This embodiment recommends an unacceptable range of R ≥ 0.7.

[0094] The above-mentioned optimization method of the automobile collision simulation model determines the initial simulation model according to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions; determines the effective simulation model according to the offset between the collision simulation curve of the initial simulation model and the reference curve; determines the qualified simulation model according to the deviation between the collision simulation curve of the effective simulation model and the reference curve; the deviation includes area deviation, maximum amplitude deviation, maximum slope deviation and root mean square deviation. The method first determines the initial simulation model, then determines the effective simulation model based on the offset, and finally determines the qualified simulation model based on the deviation, thereby achieving the purpose of model simplification and dimensionality reduction, significantly reducing the number of examples, and thus shortening the simulation calculation cycle and improving analysis efficiency. The method of the present invention can ensure the calculation accuracy while realizing the model benchmarking and optimization process and platformization, which can save more than three quarters of the benchmarking and optimization time, and the added cost in vehicle development is almost zero, and does not affect the development cycle.

[0095] Example 2

[0096] like Figure 4 As shown, this embodiment provides an optimization device for a car collision simulation model, comprising:

[0097] An initial simulation model building module 201 is used to determine an initial simulation model according to a collision test condition and whether a finite element unit performs energy transfer under the collision test condition;

[0098] An effective simulation model building module 202 is used to determine an effective simulation model according to the deviation between the collision simulation curve of the initial simulation model and the reference curve;

[0099] The qualified simulation model construction module 203 determines the qualified simulation model according to the deviation between the collision simulation curve of the effective simulation model and the reference curve; the deviation includes area deviation, maximum amplitude deviation, maximum slope deviation and root mean square deviation.

[0100] The device is used to execute the above method, and thus has at least functional modules and beneficial effects corresponding to the above method.

[0101] Example 3

[0102] like Figure 5 As shown, this embodiment provides an electronic device, including:

[0103] at least one processor; and

[0104] a memory communicatively connected to at least one of the processors; wherein,

[0105] The memory stores instructions executable by at least one of the processors, and the instructions are executed by at least one of the processors to enable at least one of the processors to perform the above method. At least one processor in the electronic device can perform the above method, and thus has at least the same advantages as the above method.

[0106] Optionally, the electronic device also includes interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on a memory to display graphical information of a GUI (Graphical User Interface) on an external input / output device (such as a display device coupled to an interface). In other embodiments, if necessary, multiple processors can be used together with multiple memories, and / or multiple buses can be used together with multiple memories. Similarly, multiple electronic devices can be connected (for example, as a server array, a group of blade servers, or a multi-processor system), and each device provides some necessary operations. Figure 5 A processor 301 is taken as an example.

[0107] The memory 302, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to the optimization method of the automobile collision simulation model in the embodiment of the present invention (for example, the initial simulation model construction module, the effective simulation model construction module, and the qualified simulation model construction module in the optimization device of the automobile collision simulation model). The processor 301 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 302, that is, realizes the above-mentioned optimization method of the automobile collision simulation model.

[0108] The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 302 may further include a memory remotely arranged relative to the processor 301, and these remote memories may be connected to the 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 electronic device may further include: an input device 303 and an output device 304. The processor 301, the memory 302, the input device 303 and the output device 304 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0110] The input device 303 can receive input digital or character information, and the output device 304 can include a display device, an auxiliary lighting device (e.g., LED), and a tactile feedback device (e.g., a vibration motor), etc. The display device can include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display, and a plasma display. In some embodiments, the display device can be a touch screen.

[0111] Example 4

[0112] This embodiment provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to enable a computer to execute the above method. The computer instructions on the computer-readable storage medium are used to enable a computer to execute the above method, and thus have at least the same advantages as the above method.

[0113] The medium in the present invention may adopt any combination of one or more computer-readable media. The medium may be a computer-readable signal medium or a computer-readable storage medium. The medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of the medium (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, the medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device, or device.

[0114] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0115] The program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire, optical cable, RF (Radio Frequency), etc., or any suitable combination of the above.

[0116] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0117] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the desired results of the technology disclosed in this application can be achieved, and this document is not limited here.

[0118] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for optimizing a vehicle collision simulation model, characterized in that: include: determining an initial simulation model according to a collision test condition and whether a finite element unit performs energy transfer under the collision test condition; Determining a valid simulation model according to a deviation between a collision simulation curve of the initial simulation model and a reference curve; Determine a qualified simulation model according to the deviation between the collision simulation curve of the effective simulation model and the reference curve; the deviation includes area deviation, maximum amplitude deviation, maximum slope deviation and root mean square deviation; Determining the initial simulation model according to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions includes: Construct model parameter matrix; Determining the values ​​of each parameter in the model parameter matrix according to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions, thereby obtaining an initial simulation model; The model parameter matrix is: ; where M is the model parameter matrix, m xi is the material factor of finite element i, is the energy distribution factor of finite element i in the x direction, is the energy distribution factor of finite element i in the y direction, is the finite element i in The energy distribution factor in the direction, is the energy distribution factor of finite element i in the z direction, is the finite element i in Energy distribution factor in direction, i=1,2,...,n, + + + + =1; ;in, m x It is a component x The material factor, ρ x It is a component x The mass density, Y x , G x and K x The components are x Young's modulus, shear modulus and bulk modulus, , and The components are x Yield strength, ultimate strength and breaking point, v x It is a component x Poisson's ratio; Determining the parameter values ​​in the model parameter matrix according to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions, and then obtaining the initial simulation model includes: When the energy of finite element i is not transferable, the energy distribution factor of finite element i in all directions is set to 0; all parameter values ​​of finite element elements in the secondary area are set to 0; and parameter values ​​are defined for finite element elements with energy input; Then the initial simulation model is obtained.

2. The optimization method of the automobile collision simulation model according to claim 1, characterized in that: The determining of the effective simulation model according to the deviation between the collision simulation curve of the initial simulation model and the reference curve comprises: Construct the offset expression; Determining the degree of deviation between the collision simulation curve of the initial simulation model and the reference curve according to the collision simulation curve of the initial simulation model, the reference curve and the degree of deviation expression; An effective simulation model is determined according to the deviation.

3. The optimization method of the automobile collision simulation model according to claim 2, characterized in that: The deviation expression is: ,d n =v refn -v estn , Where S is the degree of deviation, i, j and k are the number of time intervals recorded in each collision waveform; a, b and c represent the collision waveforms recorded by three different acceleration sensors; d n Yes n The y-intercept between the reference signal and the collision simulation signal at the moment, v refn t n The y-intercept of the reference signal at time instant, v estn t n The y-intercept of the collision simulation signal at time instant.

4. The optimization method of the automobile collision simulation model according to claim 1, characterized in that: The step of determining a qualified simulation model according to a deviation between a collision simulation curve of the effective simulation model and a reference curve comprises: Construct termination condition expression; Determining a deviation between the collision simulation curve of the effective simulation model and the reference curve according to the collision simulation curve of the effective simulation model, the reference curve and the termination condition expression; According to the deviation, a qualified simulation model is determined.

5. The optimization method of the automobile collision simulation model according to claim 4, characterized in that: The termination condition expression is: , where R is the termination condition, , , and are the differences between the area deviation, maximum amplitude deviation, maximum slope deviation and RMS deviation curves calculated currently and previously, respectively, and a, b, c and d are regression coefficients; ; Q(x) is the collision simulation curve of the effective simulation model, P(x) is the reference curve, p and q are the starting value and ending value of P(x) and Q(x) in the time history, and A is the area deviation; , MAG is the maximum deviation of amplitude; , SLO is the maximum slope deviation, C ts+d , T ts+d They are the derivative sequence functions of Q(x) and P(x) at each moment respectively; , RM is the root mean square deviation, p x and q x is P(x) and Q(x) at time t x The extreme value of .

6. An optimization device for a vehicle collision simulation model, characterized in that: include: An initial simulation model building module, used to determine an initial simulation model according to a collision test condition and whether a finite element unit performs energy transfer under the collision test condition; Determining the initial simulation model according to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions includes: Construct model parameter matrix; Determining the values ​​of each parameter in the model parameter matrix according to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions, thereby obtaining an initial simulation model; The model parameter matrix is: ; where M is the model parameter matrix, m xi is the material factor of finite element i, is the energy distribution factor of finite element i in the x direction, is the energy distribution factor of finite element i in the y direction, is the finite element i in The energy distribution factor in the direction, is the energy distribution factor of finite element i in the z direction, is the finite element i in Energy distribution factor in direction, i=1,2,...,n, + + + + =1; ;in, m x It is a component x The material factor, ρ x It is a component x The mass density, Y x , G x and K x The components are x Young's modulus, shear modulus and bulk modulus, , and The components are x Yield strength, ultimate strength and breaking point, v x It is a component x Poisson's ratio; Determining the parameter values ​​in the model parameter matrix according to the collision test conditions and whether the finite element unit performs energy transfer under the collision test conditions, and then obtaining the initial simulation model includes: When the energy of finite element i is not transferable, the energy distribution factor of finite element i in all directions is set to 0; all parameter values ​​of finite element elements in the secondary area are set to 0; and parameter values ​​are defined for finite element elements with energy input; Then the initial simulation model is obtained; An effective simulation model building module, used to determine an effective simulation model according to the deviation between the collision simulation curve of the initial simulation model and the reference curve; The qualified simulation model construction module determines the qualified simulation model according to the deviation between the collision simulation curve of the effective simulation model and the reference curve; the deviation includes area deviation, maximum amplitude deviation, maximum slope deviation and root mean square deviation.

7. An electronic device, characterized in that: include: at least one processor, and a memory communicatively coupled to at least one of the processors; The memory stores instructions executable by at least one of the processors, and the instructions are executed by at least one of the processors so that the at least one processor can execute the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 5.

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