CN115186547A - Method, device and equipment for analyzing and optimizing performance of whole vehicle and storage medium - Google Patents
Method, device and equipment for analyzing and optimizing performance of whole vehicle and storage medium Download PDFInfo
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Abstract
The invention belongs to the technical field of automobile manufacturing, and discloses a method, a device, equipment and a storage medium for analyzing and optimizing the performance of a whole automobile. The method comprises the following steps: constructing a finite element model of the whole vehicle; the method comprises the steps of (1) constraining and loading a finite element model of the whole vehicle, carrying out finite element simulation analysis, screening out important index items as sub-item targets for target optimization, and determining corresponding target values; screening out parts which are strongly related to the whole vehicle performance from the whole vehicle model; taking the minimum total weight of the parts as a final target of target optimization; constructing a target simulation approximate model based on the parts; constructing a target optimization flow according to the target value corresponding to the sub-item target and the final target corresponding to the part; and carrying out simulation calculation according to the target simulation approximate model, and determining the optimal solution of the target optimization process to obtain an optimization result. By the mode, in the optimization stage, the performance and the quality are considered comprehensively to optimize the performance substandard items and the quality, so that the performance and the quality of the whole vehicle reach the optimal balance relation.
Description
Technical Field
The invention relates to the technical field of automobile manufacturing, in particular to a method, a device, equipment and a storage medium for analyzing and optimizing the performance of a whole automobile.
Background
In a CAE analysis system for developing a whole vehicle, the performance of the whole vehicle is restrained and evaluated from a plurality of disciplines closely related to the structure of the vehicle body, such as safe collision, NVH, structural rigidity strength, fatigue endurance and the like. Currently, each discipline dimension has a set of target and evaluation system independently, but for the whole vehicle, there may be a part with excessive evaluation overlap among discipline performances.
The light weight is a great problem faced by the whole vehicle, in the aspect of embodying the performance dimension of the whole vehicle, the optimization among all discipline performances and the light weight are in conflict, how to balance the relation among all discipline performances and the relation between the performance and the weight of the whole vehicle is balanced, and finally the balance between performance-weight-cost is achieved, so that the method is a focus of common attention in the industry.
The above is only for the purpose of assisting understanding of the technical solution of the present invention, and does not represent an admission that the above is the prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for analyzing and optimizing the performance of a whole vehicle, and aims to solve the technical problems of balancing the relation between subject performances and balancing the relation between the performance and the weight of the whole vehicle.
In order to achieve the purpose, the invention provides a method for analyzing and optimizing the performance of a whole vehicle, which comprises the following steps:
constructing a finite element model of the whole vehicle;
the finished automobile finite element model is loaded in a constrained mode, finite element simulation analysis is carried out, and important index items with strong relevance with the integral structure of the automobile body are screened out;
taking the important index item as a sub-item target of target optimization, and determining a target value corresponding to the sub-item target;
screening out parts which are strongly related to the performance of the whole vehicle from the whole vehicle model;
taking the minimum total weight of the parts as a final target of target optimization;
constructing a target simulation approximate model based on the parts;
constructing a target optimization flow according to the target value corresponding to the subentry target and the final target corresponding to the part;
and carrying out simulation calculation according to the target simulation approximate model, and determining the optimal solution of the target optimization process to obtain an optimization result.
Optionally, the loading of the finished automobile finite element model is restricted, finite element simulation analysis is performed, and an important index item with strong relevance with the integral structure of the automobile body is screened out, including:
the finished automobile finite element model is loaded in a constrained mode, and finite element simulation analysis is carried out to obtain a simulation analysis result;
post-processing the simulation analysis result to obtain a reference analysis result;
and carrying out primary evaluation according to the reference analysis result and the corresponding technical specification of the whole vehicle, and screening out important index items with strong relevance with the integral structure of the vehicle body from all performance indexes.
Optionally, the benchmark analysis result includes a crash safety benchmark analysis result, an NVH benchmark analysis result, a structural rigidity benchmark analysis result, a structural strength benchmark analysis result, and a fatigue endurance benchmark analysis result;
the post-processing of the simulation analysis result to obtain a reference analysis result includes:
determining an investigation performance item decomposed by a preset target and an investigation point corresponding to the investigation performance item, extracting an intrusion amount and an acceleration corresponding to the investigation point, and recording the intrusion amount and the acceleration corresponding to the investigation point as a safety collision reference analysis result;
making a dynamic stiffness response point acceleration curve and converting the dynamic stiffness response point acceleration curve into a dynamic stiffness value, reading NTF response point X-direction displacement and converting the NTF response point X-direction displacement into a noise value, making a VTF response point acceleration curve and reading a curve peak value, and recording the dynamic stiffness value, the noise value and the curve peak value as NVH reference analysis results;
reading Z-direction displacement corresponding to each investigation point, calculating a corresponding rigidity value based on the Z-direction displacement, and recording the rigidity value as a structural rigidity benchmark analysis result;
reading the maximum stress value of each part according to the preset yield strength corresponding to each part, and recording the maximum stress value corresponding to each part as a structural strength reference analysis result;
and reading the damage value of the connection position with the damage value larger than a preset threshold value, and recording the damage value of the connection position as a fatigue endurance benchmark analysis result.
Optionally, the preliminary evaluation is performed according to the reference analysis result and the corresponding technical specification of the whole vehicle, and an important index item with strong correlation with the whole structure of the vehicle body is screened from all performance indexes, including:
performing preliminary evaluation according to the benchmark analysis result and the corresponding finished automobile technical specification, determining an up-to-standard item and an off-to-standard item, and taking the up-to-standard item and the off-to-standard item as initial important index items;
and eliminating the index items related to the preset whole vehicle fatigue endurance dimension and the preset whole vehicle strength in the initial important index items to obtain the important index items with strong relevance with the whole vehicle body structure.
Optionally, the performing simulation calculation according to the target simulation approximation model to determine an optimal solution of the target optimization process to obtain an optimization result includes:
and carrying out simulation calculation according to the target simulation approximate model, minimizing the final target and maximizing the target value corresponding to the subentry target, and determining the optimal solution of the target optimization process to obtain an optimization result.
Optionally, after performing simulation calculation according to the target simulation approximation model, determining an optimal solution of the target optimization process, and obtaining an optimization result, the method further includes:
giving a thickness variable value corresponding to the optimal solution to variable parts in the benchmark analysis model of each discipline dimension to obtain a verification model;
analyzing based on the verification model, and determining performance target achievement information and quality change information;
and performing comprehensive evaluation according to the performance target achievement information and the quality change information to obtain a comprehensive evaluation result.
Optionally, after performing the analysis based on the verification model and determining the performance goal achievement information and the quality change information, the method further includes:
if the performance target achievement information does not meet the preset performance requirement and the quality change information does not meet the preset quality requirement, adjusting the target optimization process;
and carrying out simulation calculation according to the target simulation approximate model, determining an optimal solution corresponding to the adjusted target optimization process, and obtaining an adjusted optimization result.
In addition, in order to achieve the above object, the present invention further provides an apparatus for analyzing and optimizing vehicle performance, wherein the apparatus for analyzing and optimizing vehicle performance comprises:
the construction module is used for constructing a finite element model of the whole vehicle;
the finite element simulation analysis module is used for carrying out constraint loading on the finished automobile finite element model, carrying out finite element simulation analysis and screening out important index items with strong relevance with the integral structure of the automobile body;
the optimization item determining module is used for taking the important index item as a sub item target of target optimization and determining a target value corresponding to the sub item target;
the screening module is used for screening out parts which are strongly related to the performance of the whole vehicle from the whole vehicle model;
the optimization item determination module is further used for taking the minimum total weight of the parts as a final target of target optimization;
the approximate model building module is used for building a target simulation approximate model based on the parts;
the optimization item determining module is further configured to construct an objective optimization flow according to the objective values corresponding to the sub-item objectives and the final objective corresponding to the component;
and the optimization module is used for carrying out simulation calculation according to the target simulation approximate model, determining the optimal solution of the target optimization process and obtaining an optimization result.
In addition, in order to achieve the above object, the present invention further provides a device for analyzing and optimizing vehicle performance, where the device for analyzing and optimizing vehicle performance includes: the system comprises a memory, a processor and a vehicle performance analysis optimization program which is stored in the memory and can run on the processor, wherein the vehicle performance analysis optimization program is configured to realize the vehicle performance analysis optimization method.
In addition, in order to achieve the above object, the present invention further provides a storage medium, where the storage medium stores a vehicle performance analysis and optimization program, and the vehicle performance analysis and optimization program, when executed by a processor, implements the vehicle performance analysis and optimization method described above.
The invention constructs a finite element model of the whole vehicle; the finite element model of the whole vehicle is restrained and loaded, finite element simulation analysis is carried out, and important index items with strong relevance with the whole structure of the vehicle body are screened out; taking the important index item as a sub-item target of target optimization, and determining a target value corresponding to the sub-item target; screening out parts which are strongly related to the performance of the whole vehicle from the whole vehicle model; taking the minimum total weight of the parts as a final target of target optimization; constructing a target simulation approximate model based on the parts; constructing a target optimization flow according to the target value corresponding to the subentry target and the final target corresponding to the part; and carrying out simulation calculation according to the target simulation approximate model, and determining the optimal solution of the target optimization process to obtain an optimization result. By the mode, in the optimization stage, the performance and the quality are comprehensively considered to optimize the performance substandard items and the quality, the performance and the quality of the whole vehicle are optimized, and meanwhile, design contradictions before each subject are considered, so that the performance and the quality of the whole vehicle reach the optimal balance relation.
Drawings
Fig. 1 is a schematic structural diagram of a vehicle performance analysis and optimization device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart diagram of a vehicle performance analysis and optimization method according to a first embodiment of the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of a vehicle performance analysis and optimization method according to the present invention;
fig. 4 is a block diagram of a first embodiment of the vehicle performance analysis and optimization apparatus according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a device for analyzing and optimizing vehicle performance of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the vehicle performance analysis and optimization device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to implement connection communication among these components. The user interface 1003 may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the overall vehicle performance analysis optimization apparatus, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a storage medium, may include an operating system, a network communication module, a user interface module, and a vehicle performance analysis optimization program.
In the vehicle performance analysis and optimization apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the vehicle performance analysis and optimization device of the invention can be arranged in the vehicle performance analysis and optimization device, and the vehicle performance analysis and optimization device calls the vehicle performance analysis and optimization program stored in the memory 1005 through the processor 1001 and executes the vehicle performance analysis and optimization method provided by the embodiment of the invention.
An embodiment of the invention provides a method for analyzing and optimizing the performance of a whole vehicle, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the method for analyzing and optimizing the performance of the whole vehicle.
In this embodiment, the method for analyzing and optimizing the performance of the entire vehicle includes the following steps:
step S10: and constructing a finite element model of the whole vehicle.
It can be understood that the execution subject of this embodiment is a device for analyzing and optimizing the performance of a whole vehicle, and the device for analyzing and optimizing the performance of a whole vehicle may be a computer, a processor, a server, and the like, and may also be other devices having the same or similar functions, which is not limited in this embodiment.
It should be noted that, a finished automobile CAD model is obtained, and a finished automobile finite element model is established according to model requirements. Optionally, the CAE subject dimensions have different requirements for modeling the entire vehicle model, and differential model building is performed according to different requirements corresponding to the subject dimensions. Specifically, the constructed finished automobile finite element model is a model which is provided with material thickness and can be loaded and calculated and is constructed by completing due connection relation.
Step S20: and (4) carrying out constraint loading on the complete vehicle finite element model, carrying out finite element simulation analysis, and screening out important index items with strong relevance with the overall structure of the vehicle body.
It should be understood that the loading conditions and the software operating environment requirements of different discipline dimensions are different, and differentiated constraint loading and analysis calculation are performed according to different requirements corresponding to the discipline dimensions. Specifically, the safe collision carries out constraint loading and analysis calculation in an Lsdyna environment; the NVH performance is subjected to constraint loading and analysis and calculation in a nanostran or optistuct environment; carrying out constraint loading and analysis calculation on the structural rigidity strength in a nastran or abaqus environment; fatigue durability constrained loading and analytical calculations were performed in a nanostran/Ncode environment.
Further, the step S20 includes: the finished automobile finite element model is loaded in a constrained mode, and finite element simulation analysis is carried out to obtain a simulation analysis result; carrying out post-processing on the simulation analysis result to obtain a reference analysis result; and carrying out preliminary evaluation according to the reference analysis result and the corresponding technical specification of the whole vehicle, and screening out important index items with strong relevance with the whole structure of the vehicle body from all performance indexes.
It should be noted that, a model which has been given with material thickness and completed with due connection relation building is constrained and loaded, simulation analysis is performed, and a simulation analysis result is post-processed and recorded as a reference (Base) analysis result. And carrying out preliminary evaluation according to the reference analysis result and corresponding Vehicle Technical Specification (VTS), and screening out important index items with strong relevance with the overall structure of the vehicle body from all performance indexes.
Further, the benchmark analysis results comprise a safe collision benchmark analysis result, an NVH benchmark analysis result, a structural rigidity benchmark analysis result, a structural strength benchmark analysis result and a fatigue endurance benchmark analysis result;
the post-processing of the simulation analysis result to obtain a reference analysis result includes: determining an investigation performance item decomposed by a preset target and an investigation point corresponding to the investigation performance item, extracting an intrusion amount and an acceleration corresponding to the investigation point, and recording the intrusion amount and the acceleration corresponding to the investigation point as a safety collision reference analysis result; making a dynamic stiffness response point acceleration curve and converting the dynamic stiffness response point acceleration curve into a dynamic stiffness value, reading NTF response point X-direction displacement and converting the NTF response point X-direction displacement into a noise value, making a VTF response point acceleration curve and reading a curve peak value, and recording the dynamic stiffness value, the noise value and the curve peak value as an NVH reference analysis result; reading Z-direction displacement corresponding to each investigation point, calculating a corresponding rigidity value based on the Z-direction displacement, and recording the rigidity value as a structural rigidity benchmark analysis result; reading the maximum stress value of each part according to the preset yield strength corresponding to each part, and recording the maximum stress value corresponding to each part as a structural strength reference analysis result; and reading the damage value of the connection position with the damage value larger than a preset threshold value, and recording the damage value of the connection position as a fatigue endurance benchmark analysis result.
It should be understood that, in the simulation analysis of the safe collision in the embodiment, the intrusion amount, the acceleration and the like of the investigation point are extracted according to the investigation performance item decomposed by the preset target, and are recorded as the Base analysis result of the safe collision; in NVH simulation analysis, making a dynamic stiffness response point acceleration curve and converting the dynamic stiffness response point acceleration curve into a dynamic stiffness value, reading NTF response point X-direction displacement and converting the NTF response point X-direction displacement into a dB value, making a VTF response point acceleration curve and reading a curve peak value, summarizing the curve to an NVH result summary table, and recording the result as a Base analysis result of the NVH; in the structural rigidity simulation analysis, the Z-direction displacement of each investigation point is read, and the Z-direction displacement is converted into a corresponding rigidity value through a calculation formula; in the structural strength simulation analysis, reading the maximum stress value of the part according to the yield strength defined by each part, and recording the maximum stress value as a base analysis result of the structural strength; in fatigue endurance simulation analysis, reading the damage values of the sheet metal and the welding spot with the damage value larger than 1, and recording the damage values as the Base analysis result of fatigue endurance.
Further, the preliminary evaluation is carried out according to the reference analysis result and the corresponding technical specification of the whole vehicle, and an important index item with strong relevance with the whole structure of the vehicle body is screened from all performance indexes, and the method comprises the following steps: performing preliminary evaluation according to the benchmark analysis result and the corresponding technical specification of the whole vehicle, determining a standard item and an unqualified item, and taking the standard item and the unqualified item as initial important index items; and eliminating the index items related to the preset whole vehicle fatigue endurance dimension and the preset whole vehicle strength in the initial important index items to obtain the important index items with strong relevance with the whole vehicle body structure.
It should be noted that the important index items with strong correlation with the overall structure of the vehicle body include the standard item and the non-standard item in the Base analysis result, and since the two performance dimensions of the fatigue durability of the entire vehicle and the strength of the entire vehicle focus on the non-standard item and can be solved through local structure optimization, all the index items of the fatigue durability of the entire vehicle and the strength of the entire vehicle in the initial important index items are excluded, and the important index items with strong correlation with the overall structure of the vehicle body are determined.
Step S30: and taking the important index item as a sub-item target of target optimization, and determining a target value corresponding to the sub-item target.
In specific implementation, the important index items are screened out to serve as sub-item targets of the multidisciplinary multi-target optimization, and the target value to be achieved by the sub-item targets is set according to a preset target.
Step S40: and screening out parts which are strongly related to the whole vehicle performance from the whole vehicle model.
It should be understood that, alternatively, the parts strongly related to the performance of the whole vehicle are screened out through sensitivity analysis, and the thicknesses of the parts and the thicknesses in the finite element model of the whole vehicle can have a space which is changed up and down.
Step S50: and taking the minimum total weight of the parts as a final target of target optimization.
It should be noted that the Base total mass of the screened vehicle body parts is counted, and the minimum total weight of the total variable parts is set as the final target of the multidisciplinary multi-target optimization, wherein the Base mass of the screened vehicle body parts is not the minimum mass expected to be achieved.
Step S60: and constructing a target simulation approximate model based on the parts.
It should be understood that the components are used as variables, the building of a CAE subject dimension basic sampling model is driven in a parameterization mode, a statistical sampling method is combined to obtain a sample model, the sample model is submitted to calculation, and an approximate model of multidisciplinary multi-target simulation is built. The basic sampling model is built by parameterizing component variables, and the parameterization method is not limited; the sample model is obtained by using a statistical sampling method, which is not limited.
Step S70: and constructing a target optimization flow according to the target value corresponding to the sub-item target and the final target corresponding to the part.
Step S80: and carrying out simulation calculation according to the target simulation approximate model, determining the optimal solution of the target optimization process, and obtaining an optimization result.
It should be noted that, a multidisciplinary multi-objective optimization flow is designed and constructed, optimization simulation calculation is performed, each sub-item objective and a final objective are balanced, and an optimal solution is found. The multidisciplinary and multi-objective optimization method is not limited, and different optimization algorithms such as polynomial, kriging and RBF can be selected. In the multidisciplinary multiobjective optimization simulation analysis result, all solution sets should be converged.
Specifically, the step S80 includes: and carrying out simulation calculation according to the target simulation approximate model, minimizing the final target and maximizing the target value corresponding to the subentry target, and determining the optimal solution of the target optimization process to obtain an optimization result.
In specific implementation, the final goal of the multidisciplinary multi-objective optimization is to achieve the balance between the performance and the quality of the whole vehicle, optimize and coordinate the sub-objectives, minimize the quality and maximize the performance of the whole vehicle.
Further, a solution set which meets all the sub-item targets and the final target is screened out, and a solution with the minimum quality is selected from the solution set which meets the target to serve as an optimal solution.
In the embodiment, a finite element model of the whole vehicle is constructed; the method comprises the steps of (1) constraining and loading a finite element model of the whole vehicle, carrying out finite element simulation analysis, and screening out an important index item with strong relevance with the whole structure of the vehicle body; taking the important index item as a sub item target of target optimization, and determining a target value corresponding to the sub item target; screening out parts which are strongly related to the whole vehicle performance from the whole vehicle model; taking the minimum total weight of the parts as a final target of target optimization; constructing a target simulation approximate model based on the parts; constructing a target optimization flow according to the target value corresponding to the subentry target and the final target corresponding to the part; and carrying out simulation calculation according to the target simulation approximate model, and determining the optimal solution of the target optimization process to obtain an optimization result. By the mode, in the optimization stage, the performance and the quality are considered comprehensively to optimize the performance substandard items and the quality, the performance and the quality of the whole vehicle are optimized, and meanwhile, design contradiction points before various disciplines are considered, so that the performance and the quality of the whole vehicle reach the optimal balance relation.
Referring to fig. 3, fig. 3 is a schematic flow chart of a vehicle performance analysis and optimization method according to a second embodiment of the present invention.
Based on the first embodiment, after the step S80, the method for analyzing and optimizing vehicle performance of this embodiment further includes:
step S801: and giving the thickness variable value corresponding to the optimal solution to variable parts in the benchmark analysis model of each discipline dimension to obtain a verification model.
Step S802: and analyzing based on the verification model to determine performance target achievement information and quality change information.
Step S803: and carrying out comprehensive evaluation according to the performance target achievement information and the quality change information to obtain a comprehensive evaluation result.
It should be understood that the thickness variable of the optimal solution is given to variable parts in the Base analysis model of CAE subject dimensions, a verification model is obtained, verification is submitted, the verification result is processed, and evaluation is carried out according to the preset target value. And counting the total mass of the total variable parts in the verification model, comparing the total mass with the Base total mass counted by the Base analysis model, and determining that the difference value of the total mass and the Base total mass is the light weight or the weight which needs to be increased for performance optimization. And comprehensively evaluating the performance target achievement condition and the quality change condition of the checking calculation, and evaluating whether the whole vehicle performance and the quality of the vehicle reach the optimal balance.
It should be noted that the criterion for the verification result to pass is that the difference between the verification result of the verification model and the multidisciplinary multi-objective optimization result is less than a certain value. Optionally, sub-item performance goals in the checking result are compared and evaluated according to a target value set to be achieved as the lowest.
Further, after the analyzing based on the verification model and determining the performance goal achievement information and the quality change information, the method further comprises: if the performance target achievement information does not meet the preset performance requirement and the quality change information does not meet the preset quality requirement, adjusting the target optimization process; and carrying out simulation calculation according to the target simulation approximate model, determining an optimal solution corresponding to the adjusted target optimization process, and obtaining an adjusted optimization result.
It should be understood that all performance targets in the validation results are compared to the corresponding Base analysis results to determine if the validation performance results are better than the Base results. If the verification performance result is superior to the Base result, the performance of the corresponding item is optimized; if the performance result is inferior to the Base result, the performance of the corresponding item is relatively weakened, then the corresponding VTS is combined for comparison and evaluation, whether the weakening degree is consistent with the original Base result level or whether the target requirement of the VTS performance is met is determined, and if the weakening degree is consistent with the original Base result level or the target requirement is still met, the optimization scheme is completely received; and if the weakening degree is large, or the target requirement is not met, or the quality change does not meet the quality requirement, locally modifying the target optimization process. Because the variables set in the embodiment are not all parts of the whole vehicle, the checking result except the performance item serving as the sub-item target has small fluctuation compared with the Base analysis result, but the overall performance is not influenced, and the performance standard reaching condition described above can be used for evaluating that the overall performance and the quality of the vehicle reach the optimal balance.
It should be noted that if there are no or few substandard target items in the sub-item targets, the quality after optimization is reduced to some extent compared with the Base quality, which belongs to the forward development of light weight, and the evaluation of the performance and quality of the whole vehicle has reached the optimal balance. If a plurality of substandard items exist in the sub-item targets, the optimized quality is increased compared with the Base quality, and the reverse overall vehicle performance and quality are in optimal balance.
In the embodiment, a finite element model of the whole vehicle is constructed; the method comprises the steps of (1) constraining and loading a finite element model of the whole vehicle, carrying out finite element simulation analysis, and screening out an important index item with strong relevance with the whole structure of the vehicle body; taking the important index item as a sub item target of target optimization, and determining a target value corresponding to the sub item target; screening out parts which are strongly related to the performance of the whole vehicle from the whole vehicle model; taking the minimum total weight of the parts as a final target of target optimization; constructing a target simulation approximate model based on the parts; constructing a target optimization flow according to the target value corresponding to the subentry target and the final target corresponding to the part; carrying out simulation calculation according to the target simulation approximate model, and determining the optimal solution of the target optimization process to obtain an optimization result; endowing variable parts in the benchmark analysis model of each discipline dimension with thickness variable values corresponding to the optimal solution to obtain a verification model; analyzing based on the verification model, and determining performance target achievement information and quality change information; and performing comprehensive evaluation according to the performance target achievement information and the quality change information to obtain a comprehensive evaluation result. Through the mode, in the optimization stage, the performance and the quality are considered comprehensively to optimize the performance substandard items and the quality, the performance and the quality of the whole vehicle are optimized, meanwhile, design contradiction points before each subject are considered, the performance and the quality of the whole vehicle reach the optimal balance relation, a verification evaluation mode is provided, the optimization effect in the optimization stage is monitored, and data support is provided for optimizing flow adjustment.
In addition, an embodiment of the present invention further provides a storage medium, where a vehicle performance analysis optimization program is stored on the storage medium, and when the vehicle performance analysis optimization program is executed by a processor, the vehicle performance analysis optimization method is implemented as described above.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
Referring to fig. 4, fig. 4 is a structural block diagram of a first embodiment of the vehicle performance analysis and optimization device of the present invention.
As shown in fig. 4, the device for analyzing and optimizing the performance of the entire vehicle according to the embodiment of the present invention includes:
and the building module 10 is used for building a finite element model of the whole vehicle.
And the finite element simulation analysis module 20 is used for restricting and loading the finite element model of the whole vehicle, carrying out finite element simulation analysis and screening out important index items with strong relevance with the whole structure of the vehicle body.
And the optimization item determining module 30 is configured to use the important indicator item as a sub-item target of target optimization, and determine a target value corresponding to the sub-item target.
And the screening module 40 is used for screening out parts which are strongly related to the performance of the whole vehicle from the whole vehicle model.
The optimization term determination module 30 is further configured to use the minimum total weight of the component as a final target of the target optimization.
And the approximate model building module 50 is used for building a target simulation approximate model based on the parts.
The optimization item determining module 30 is further configured to construct an objective optimization procedure according to the objective values corresponding to the sub-item objectives and the final objective corresponding to the component.
And the optimization module 60 is configured to perform simulation calculation according to the target simulation approximation model, determine an optimal solution of the target optimization process, and obtain an optimization result.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
In the embodiment, a finite element model of the whole vehicle is constructed; the method comprises the steps of (1) constraining and loading a finite element model of the whole vehicle, carrying out finite element simulation analysis, and screening out an important index item with strong relevance with the whole structure of the vehicle body; taking the important index item as a sub item target of target optimization, and determining a target value corresponding to the sub item target; screening out parts which are strongly related to the whole vehicle performance from the whole vehicle model; taking the minimum total weight of the parts as a final target of target optimization; constructing a target simulation approximate model based on the parts; constructing a target optimization flow according to the target value corresponding to the subentry target and the final target corresponding to the part; and carrying out simulation calculation according to the target simulation approximate model, and determining the optimal solution of the target optimization process to obtain an optimization result. By the mode, in the optimization stage, the performance and the quality are considered comprehensively to optimize the performance substandard items and the quality, the performance and the quality of the whole vehicle are optimized, and meanwhile, design contradiction points before various disciplines are considered, so that the performance and the quality of the whole vehicle reach the optimal balance relation.
It should be noted that the above-mentioned work flows are only illustrative and do not limit the scope of the present invention, and in practical applications, those skilled in the art may select some or all of them according to actual needs to implement the purpose of the solution of the present embodiment, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may refer to the method for analyzing and optimizing the performance of the entire vehicle provided in any embodiment of the present invention, and are not described herein again.
In an embodiment, the finite element simulation analysis module 20 is further configured to constrain and load the finite element model of the entire vehicle, and perform finite element simulation analysis to obtain a simulation analysis result; carrying out post-processing on the simulation analysis result to obtain a reference analysis result; and carrying out preliminary evaluation according to the reference analysis result and the corresponding technical specification of the whole vehicle, and screening out important index items with strong relevance with the whole structure of the vehicle body from all performance indexes.
In one embodiment, the baseline analysis results include a crash safety baseline analysis result, a NVH baseline analysis result, a structural rigidity baseline analysis result, a structural strength baseline analysis result, and a fatigue endurance baseline analysis result;
the finite element simulation analysis module 20 is further configured to determine an investigation performance item decomposed by a preset target and an investigation point corresponding to the investigation performance item, extract an intrusion amount and an acceleration corresponding to the investigation point, and record the intrusion amount and the acceleration corresponding to the investigation point as a safety collision reference analysis result; making a dynamic stiffness response point acceleration curve and converting the dynamic stiffness response point acceleration curve into a dynamic stiffness value, reading NTF response point X-direction displacement and converting the NTF response point X-direction displacement into a noise value, making a VTF response point acceleration curve and reading a curve peak value, and recording the dynamic stiffness value, the noise value and the curve peak value as an NVH reference analysis result; reading Z-direction displacement corresponding to each investigation point, calculating a corresponding rigidity value based on the Z-direction displacement, and recording the rigidity value as a structural rigidity benchmark analysis result; reading the maximum stress value of each part according to the preset yield strength corresponding to each part, and recording the maximum stress value corresponding to each part as a structural strength reference analysis result; and reading the damage value of the connection position with the damage value larger than a preset threshold value, and recording the damage value of the connection position as a fatigue endurance benchmark analysis result.
In an embodiment, the finite element simulation analysis module 20 is further configured to perform a preliminary evaluation according to the reference analysis result and a corresponding technical specification of the entire vehicle, determine a standard item and an unqualified item, and use the standard item and the unqualified item as an initial important index item; and eliminating the index items related to the preset whole vehicle fatigue endurance dimension and the preset whole vehicle strength in the initial important index items to obtain the important index items with strong relevance with the whole vehicle body structure.
In an embodiment, the optimization module 60 is further configured to perform simulation calculation according to the target simulation approximation model, minimize the final target and maximize a target value corresponding to the subentry target, and determine an optimal solution of the target optimization process to obtain an optimization result.
In an embodiment, the vehicle performance analysis and optimization device further comprises a verification module;
the verification module is used for endowing variable parts in the benchmark analysis model of each discipline dimension with thickness variable values corresponding to the optimal solution to obtain a verification model; analyzing based on the verification model, and determining performance target achievement information and quality change information; and performing comprehensive evaluation according to the performance target achievement information and the quality change information to obtain a comprehensive evaluation result.
In an embodiment, the verification module is further configured to adjust the target optimization process if the performance target achievement information does not meet a preset performance requirement and the quality change information does not meet a preset quality requirement; and carrying out simulation calculation according to the target simulation approximate model, determining an optimal solution corresponding to the adjusted target optimization process, and obtaining an adjusted optimization result.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. The method for analyzing and optimizing the performance of the whole vehicle is characterized by comprising the following steps of:
constructing a finite element model of the whole vehicle;
the finite element model of the whole vehicle is loaded in a restrained mode, finite element simulation analysis is carried out, and important index items with strong relevance with the whole structure of the vehicle body are screened out;
taking the important index item as a sub-item target of target optimization, and determining a target value corresponding to the sub-item target;
screening out parts which are strongly related to the whole vehicle performance from the whole vehicle model;
taking the minimum total weight of the parts as a final target of target optimization;
constructing a target simulation approximate model based on the parts;
constructing a target optimization flow according to the target value corresponding to the subentry target and the final target corresponding to the part;
and carrying out simulation calculation according to the target simulation approximate model, determining the optimal solution of the target optimization process, and obtaining an optimization result.
2. The vehicle performance analysis and optimization method of claim 1, wherein the step of constraining and loading the finite element model of the whole vehicle, performing finite element simulation analysis, and screening out important index items with strong correlation with the overall structure of the vehicle body comprises the following steps:
the finished automobile finite element model is loaded in a constrained mode, and finite element simulation analysis is carried out to obtain a simulation analysis result;
carrying out post-processing on the simulation analysis result to obtain a reference analysis result;
and carrying out preliminary evaluation according to the reference analysis result and the corresponding technical specification of the whole vehicle, and screening out important index items with strong relevance with the whole structure of the vehicle body from all performance indexes.
3. The vehicle performance analysis and optimization method according to claim 2, wherein the benchmark analysis results include a crash safety benchmark analysis result, an NVH benchmark analysis result, a structural rigidity benchmark analysis result, a structural strength benchmark analysis result, and a fatigue endurance benchmark analysis result;
the post-processing of the simulation analysis result to obtain a reference analysis result includes:
determining an investigation performance item decomposed by a preset target and an investigation point corresponding to the investigation performance item, extracting an intrusion amount and an acceleration corresponding to the investigation point, and recording the intrusion amount and the acceleration corresponding to the investigation point as a safety collision reference analysis result;
making a dynamic stiffness response point acceleration curve and converting the dynamic stiffness response point acceleration curve into a dynamic stiffness value, reading NTF response point X-direction displacement and converting the NTF response point X-direction displacement into a noise value, making a VTF response point acceleration curve and reading a curve peak value, and recording the dynamic stiffness value, the noise value and the curve peak value as an NVH reference analysis result;
reading Z-direction displacement corresponding to each investigation point, calculating a corresponding rigidity value based on the Z-direction displacement, and recording the rigidity value as a structural rigidity benchmark analysis result;
reading the maximum stress value of each part according to the preset yield strength corresponding to each part, and recording the maximum stress value corresponding to each part as a structural strength reference analysis result;
and reading the damage value of the connection position with the damage value larger than a preset threshold value, and recording the damage value of the connection position as a fatigue endurance benchmark analysis result.
4. The vehicle performance analysis and optimization method according to claim 2, wherein the step of performing preliminary evaluation according to the reference analysis result and the corresponding vehicle technical specification to screen out important index items with strong association with the overall structure of the vehicle body from the performance indexes comprises the steps of:
performing preliminary evaluation according to the benchmark analysis result and the corresponding finished automobile technical specification, determining an up-to-standard item and an off-to-standard item, and taking the up-to-standard item and the off-to-standard item as initial important index items;
and eliminating the index items related to the preset whole vehicle fatigue endurance dimension and the preset whole vehicle strength in the initial important index items to obtain the important index items with strong relevance with the whole vehicle body structure.
5. The vehicle performance analysis and optimization method according to claim 1, wherein the performing simulation calculation according to the target simulation approximation model to determine an optimal solution of the target optimization process to obtain an optimization result comprises:
and performing simulation calculation according to the target simulation approximate model, minimizing the final target and maximizing the target value corresponding to the sub-item target, and determining the optimal solution of the target optimization process to obtain an optimization result.
6. The vehicle performance analysis and optimization method according to claim 1, wherein the simulation calculation is performed according to the target simulation approximation model, an optimal solution of the target optimization process is determined, and after an optimization result is obtained, the method further comprises:
giving a thickness variable value corresponding to the optimal solution to variable parts in the benchmark analysis model of each discipline dimension to obtain a verification model;
analyzing based on the verification model, and determining performance target achievement information and quality change information;
and carrying out comprehensive evaluation according to the performance target achievement information and the quality change information to obtain a comprehensive evaluation result.
7. The vehicle performance analysis optimization method of claim 6, wherein after the performing the analysis based on the verification model to determine the performance goal achievement information and the quality change information, the method further comprises:
if the performance target achievement information does not meet the preset performance requirement and the quality change information does not meet the preset quality requirement, adjusting the target optimization process;
and carrying out simulation calculation according to the target simulation approximate model, determining an optimal solution corresponding to the adjusted target optimization process, and obtaining an adjusted optimization result.
8. The utility model provides a whole car performance analysis optimizing apparatus which characterized in that, whole car performance analysis optimizing apparatus includes:
the construction module is used for constructing a finite element model of the whole vehicle;
the finite element simulation analysis module is used for carrying out constraint loading on the finished automobile finite element model, carrying out finite element simulation analysis and screening out important index items with strong relevance with the integral structure of the automobile body;
the optimization item determining module is used for taking the important index item as a sub item target of target optimization and determining a target value corresponding to the sub item target;
the screening module is used for screening out parts which are strongly related to the whole vehicle performance from the whole vehicle model;
the optimization item determination module is further used for taking the minimum total weight of the parts as a final target of target optimization;
the approximate model building module is used for building a target simulation approximate model based on the parts;
the optimization item determining module is further configured to construct an objective optimization flow according to the objective values corresponding to the sub-item objectives and the final objective corresponding to the component;
and the optimization module is used for carrying out simulation calculation according to the target simulation approximate model, determining the optimal solution of the target optimization process and obtaining an optimization result.
9. The utility model provides a whole car performance analysis optimizing apparatus which characterized in that, the equipment includes: the system comprises a memory, a processor and a whole vehicle performance analysis optimization program stored on the memory and capable of running on the processor, wherein the whole vehicle performance analysis optimization program is configured to realize the whole vehicle performance analysis optimization method according to any one of claims 1 to 7.
10. A storage medium, wherein the storage medium stores a vehicle performance analysis optimization program, and the vehicle performance analysis optimization program, when executed by a processor, implements the vehicle performance analysis optimization method according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116305572A (en) * | 2023-03-20 | 2023-06-23 | 小米汽车科技有限公司 | Vehicle optimization method, device, storage medium and electronic equipment |
| CN116894292A (en) * | 2023-04-03 | 2023-10-17 | 小米汽车科技有限公司 | Method and device for determining static stiffness of auxiliary frame, vehicle and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116305572A (en) * | 2023-03-20 | 2023-06-23 | 小米汽车科技有限公司 | Vehicle optimization method, device, storage medium and electronic equipment |
| CN116305572B (en) * | 2023-03-20 | 2024-02-06 | 小米汽车科技有限公司 | Vehicle optimization method, device, storage medium and electronic equipment |
| CN116894292A (en) * | 2023-04-03 | 2023-10-17 | 小米汽车科技有限公司 | Method and device for determining static stiffness of auxiliary frame, vehicle and storage medium |
| CN116894292B (en) * | 2023-04-03 | 2024-04-30 | 小米汽车科技有限公司 | Method and device for determining static stiffness of auxiliary frame, vehicle and storage medium |
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