CN115270584B - Lightweight method suitable for new energy electric vehicle battery bracket - Google Patents
Lightweight method suitable for new energy electric vehicle battery bracket Download PDFInfo
- Publication number
- CN115270584B CN115270584B CN202211135695.5A CN202211135695A CN115270584B CN 115270584 B CN115270584 B CN 115270584B CN 202211135695 A CN202211135695 A CN 202211135695A CN 115270584 B CN115270584 B CN 115270584B
- Authority
- CN
- China
- Prior art keywords
- battery bracket
- sensitivity
- finite element
- relative sensitivity
- weight
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/04—Constraint-based CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- Secondary Cells (AREA)
- Arrangement Or Mounting Of Propulsion Units For Vehicles (AREA)
Abstract
The invention discloses a lightweight method suitable for a new energy electric vehicle battery bracket, which comprises the steps of generating a battery bracket finite element model, calculating and obtaining modal frequency and order of the battery bracket model based on finite element analysis, and calculating modal frequency relative sensitivity and average relative sensitivity of the battery bracket model; determining parts capable of being lightened according to the relative sensitivity, the average relative sensitivity and a preset sensitivity rule, and generating a plurality of light-weight candidate schemes through an orthogonal test method; and according to the plurality of light-weight candidate schemes, sequentially performing performance analysis on each light-weight candidate scheme based on secondary development of finite element analysis calculation, and determining an optimal light-weight scheme. The sensitivity analysis is carried out on the commercial new energy electric vehicle battery bracket by carrying out secondary development design based on a finite element method, and on the basis of ensuring the overall main performance of the commercial new energy electric vehicle battery bracket, the optimized lightweight scheme is realized, and meanwhile, the analysis calculation is reduced.
Description
Technical Field
The invention relates to the technical field of light weight of battery brackets, in particular to a light weight method suitable for a new energy electric vehicle battery bracket.
Background
To commercial new forms of energy electric automobile, because the required battery module quantity of car is great relatively, in order to guarantee the sufficient rigidity intensity of battery bracket and the resistant security of crashing of battery, most battery bracket structural design's is very conservative, consequently can lead to the cost-push of battery bracket steel construction, also can consume some new forms of energy commercial electric automobile's continuation of the journey mileage simultaneously. In view of the above problems, there are two general approaches to weight reduction, namely, weight reduction of materials and weight reduction of structures. In the aspect of material lightweight, the use of high-performance materials causes the cost to be correspondingly increased; in the aspect of structural lightweight, redesign of a material structure is needed and an original design structure is affected.
The lightweight of the battery bracket of the electric automobile in the prior art is mainly to carry out structural optimization on a main body structure by changing an original design structure, so that the main body rigidity of a battery frame is enhanced, the outer plate adopts skins and the like to reduce the structural weight so as to achieve the purposes of reducing the material cost and reducing the energy consumption of the battery, and the lightweight design of the over-conservative main body structure is lacked on the basis of not changing the original design structure too much, so that the redundant design is eliminated. The thickness of the non-primary structural components is reduced by increasing the thickness of the weakened structural components, thereby reducing the weight of the overall architecture. At present, light weight methods for automobile structures are based on the fact that engineers try to obtain final light weight schemes meeting various main performances for many times by combining with self working experience according to traditional light weight methods. A relatively complete method for seeking optimal weight reduction is lacking. Moreover, for the new scheme requiring checking, various performance analysis and calculation needs to be performed manually, which causes waste of excessive manpower and time cost.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method for designing a lightweight structure on the basis of ensuring overall main performance, reducing the weight of the structure, finding an optimal lightweight scheme that is the lightest relative to the weight of the structure and satisfies various main performances of the structure, and avoiding analyzing and calculating the lightweight scheme by a calculator for multiple times and submitting and calculating the various main performances for multiple times, thereby reducing the workload.
The invention provides a method for lightening a battery bracket of a new energy electric automobile, which comprises the following steps:
s1, performing finite element modeling on a three-dimensional battery bracket by adopting a shell unit to generate a battery bracket finite element model, and obtaining modal frequency and order of the battery bracket model through finite element analysis calculation;
s2, defining a response type according to the finite element model of the battery bracket, and calculating the modal frequency relative sensitivity and average relative sensitivity of the response type;
s3, determining parts capable of being lightened according to the relative sensitivity, the average relative sensitivity and a preset sensitivity rule, selecting the material thickness of each selected light-weighted part, and generating a plurality of light-weighted candidate schemes through an orthogonal test method;
and S4, sequentially carrying out performance analysis on each light weight candidate scheme based on secondary development of finite element analysis calculation and determining an optimal light weight scheme according to the plurality of light weight candidate schemes in the S3.
Preferably, S1, performing finite element modeling on the three-dimensional battery bracket by using a shell unit, further includes:
symmetrical parts are placed on the same part and each part is given a corresponding material property and the properties of all parts are numbered starting with 1.
Preferably, the S2, according to the finite element model of the battery bracket, defines a response type, and calculates the modal frequency relative sensitivity and the average relative sensitivity thereof, including:
s21, respectively defining response types according to the finite element model of the battery bracket; wherein the weight response type is weight, and the frequency response type is freq;
s22, inputting the order of a first-order torsional modal frequency to the finite element model of the battery bracket, and then defining the modal frequency as a constraint condition; defining the structural weight as a target, defining all plate thicknesses as variables, and then carrying out solution analysis;
and S23, searching the mass sensitivity and the modal frequency sensitivity in the solving result file, and calculating the modal frequency relative sensitivity and the average relative sensitivity of the mass sensitivity and the modal frequency sensitivity. The step S23 of searching for the mass sensitivity and the modal frequency sensitivity in the solution result file, and calculating the modal frequency relative sensitivity and the average relative sensitivity thereof includes: wherein the relative sensitivity
Expressed as:
in the formula (I), the compound is shown in the specification,
is as follows
The relative sensitivity of the individual components;
is the total weight of the body in white in the initial state;
is as follows
Mass sensitivity of individual components;
is as follows
Modal frequency sensitivity of the individual components;
is the modal frequency of the initial state of the body in white;
the average relative sensitivity
Expressed as:
in the formula (I), the compound is shown in the specification,
average relative sensitivity for body-in-white;
is a first
Initial thickness of each part, n parts in total.
Preferably, the S3, determining the component capable of being lightened according to a predetermined sensitivity rule, includes:
and selecting light-weighted parts from the thickened sensitive plate, the thinned insensitive plate and the negative sensitive plate.
Preferably, the performance analysis comprises modal, stiffness and strength properties;
and S4, according to the plurality of lightweight candidate schemes in the S3, sequentially performing performance analysis on each lightweight candidate scheme based on secondary development of finite element analysis calculation, wherein the performance analysis comprises the following steps:
s41, sequentially carrying out analysis calculation including modal and rigidity performance on each lightweight candidate scheme based on secondary development of finite element analysis calculation;
s42, summarizing and comparing the structural weight, the modal performance and the rigidity strength performance of each light weight candidate scheme;
s43, obtaining a preset performance standard, and determining that the lightweight scheme with the minimum structural weight is the optimal lightweight scheme when the modal and stiffness performance meet the preset performance standard.
Furthermore, the second aspect of the present invention also provides an electronic apparatus, comprising: one or more processors, memory for storing one or more computer programs; the computer program is configured to be executed by the one or more processors, the program comprising instructions for performing the method steps for weight reduction applicable to a new energy electric vehicle battery cradle, as described above.
Furthermore, the third aspect of the present invention also provides a storage medium storing a computer program; the program is loaded and executed by a processor to implement the method steps for weight reduction suitable for the new energy electric vehicle battery bracket as described above.
According to the scheme, finite element modeling is carried out on the three-dimensional battery bracket by adopting a shell unit to generate a battery bracket finite element model, and modal frequency and order of the battery bracket model are obtained through finite element analysis and calculation; defining a response type according to the finite element model of the battery bracket, and calculating the modal frequency relative sensitivity and average relative sensitivity of the response type; determining parts capable of being lightened according to the relative sensitivity, the average relative sensitivity and a preset sensitivity rule, selecting the material thickness of each selected light-weighted part, and generating a plurality of light-weighted candidate schemes through an orthogonal test method; and according to the plurality of lightweight candidate schemes, sequentially performing performance analysis on each lightweight candidate scheme based on secondary development of finite element analysis calculation, and determining an optimal lightweight scheme. The sensitivity analysis is carried out on the battery bracket of the commercial new energy electric vehicle by carrying out secondary development design based on a finite element method, and on the basis of ensuring the overall main performance of the battery bracket of the commercial new energy electric vehicle, the structure weight is reduced to the greatest extent under the condition of unchanging a main body structure, so that the optimized lightweight scheme is realized, and meanwhile, various main performance analysis calculations of repeated repeatability of analysis and calculation personnel are reduced, and the labor cost and the time cost are reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic flow chart of a lightweight method suitable for a new energy electric vehicle battery bracket according to an embodiment of the disclosure;
fig. 2 is a schematic diagram of an implementation of an orthogonal experiment lightweight method of a new energy electric vehicle battery bracket according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a lightweight system suitable for a new energy electric vehicle battery bracket according to an embodiment of the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the embodiments of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The implementation details of the technical solution of the embodiment of the present application are set forth in detail below:
referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for lightening a battery bracket of a new energy electric vehicle according to an embodiment of the present invention. As shown in fig. 1, a method for reducing weight of a battery bracket suitable for a new energy electric vehicle according to an embodiment of the present invention includes:
s1, performing finite element modeling on the three-dimensional battery bracket by adopting a shell unit to generate a battery bracket finite element model, and obtaining the modal frequency and the order of the battery bracket model through finite element analysis and calculation.
Specifically, in the present embodiment, finite element modeling is performed on a three-dimensional battery bracket, and since the structural material is mainly made of steel, a shell element is used for simulation, and symmetrical parts are placed on the same component (component) and are endowed with corresponding material properties. And carrying out modal frequency calculation on the three-dimensional finite element model of the battery bracket. And acquiring the modal frequency and the order of the battery bracket through calculation and analysis.
Before finite element analysis, the specific characteristics of the three-dimensional battery bracket are carefully analyzed and mastered according to the shape, size, working condition, material type, calculation content, stress, deformation general rules and the like of the three-dimensional battery bracket, and a reasonable finite element model is further established.
Preferably, S1, performing finite element modeling on the three-dimensional battery bracket by using a shell unit, further includes: symmetrical parts are placed on the same part, corresponding material properties are given to each part, the properties of all the parts are numbered from 1, and then the mode and the order of the battery bracket are obtained through analysis and calculation. Specifically, each part of the 3D model of the new energy automobile battery bracket is subjected to surface extraction, then the middle surface is divided into 2D shell units, all the parts are numbered from 1, connection between the parts is carried out according to an actual connection mode (welding points are simulated by ACM, welding is simulated by REB2, bolt connection is simulated by Rigid, and the like), and finally a corresponding finite element model of the battery bracket is formed for subsequent sensitivity analysis.
And S2, defining a response type according to the finite element model of the battery bracket, and calculating the modal frequency relative sensitivity and the average relative sensitivity of the response type.
Preferably, the S2, according to the finite element model of the battery bracket, defines a response type, and calculates the modal frequency relative sensitivity and the average relative sensitivity thereof, including: s21, respectively defining response types according to the finite element model of the battery bracket; wherein the weight response type is weight, and the frequency response type is freq; s22, inputting the order of a first-order torsional modal frequency to the finite element model of the battery bracket, and then defining the modal frequency as a constraint condition; defining the structural weight as a target, defining all plate thicknesses as variables, and then carrying out solution analysis; and S23, searching the mass sensitivity and the modal frequency sensitivity in the solving result file, and calculating the modal frequency relative sensitivity and the average relative sensitivity of the mass sensitivity and the modal frequency sensitivity.
Specifically, in the embodiment, based on the initially calculated finite element model of the battery bracket, a response is defined, and the weight response type is weight; the frequency response type is freq, then the order of the first-order torsional mode frequency is input, then constraint conditions are defined, and the mode frequency is used as the constraint conditions; defining the structure weight as a target, solving and analyzing all plate thicknesses as variables, searching mass sensitivity and modal frequency sensitivity in a solving result file, and calculating modal frequency relative sensitivity and average relative sensitivity. Wherein, the relative sensitivity is the percentage of the weight of the body-in-white increased by 1% by thickening a certain component and the performance change of the body-in-white, as shown in formula (1):
in the formula (I), the compound is shown in the specification,
is a first
Relative sensitivity of individual components;
is the total weight of the body in white in the initial state;
is as follows
Mass sensitivity of the individual components;
is as follows
Modal frequency sensitivity of the individual components;
is the modal frequency of the body-in-white initial state.
Wherein the average relative sensitivity is: each part is thickened by 1 percent, and the percentage of the body-in-white performance change is as shown in formula (2):
in the formula (I), the compound is shown in the specification,
average relative sensitivity for body-in-white;
is as follows
Initial thickness of each part, n parts in total;
according to the formula, the mass sensitivity and the modal frequency sensitivity can be read in an f06 file, the relative sensitivity and the average relative sensitivity of each plate are solved in Excel, and finally the sensitivity is evaluated according to the comparison of the relative sensitivity and the average relative sensitivity.
And S3, determining parts capable of being lightened according to the relative sensitivity, the average relative sensitivity and a preset sensitivity rule, selecting the material thickness of each selected light-weighted part, and generating a plurality of light-weighted candidate schemes through an orthogonal test method. Preferably, the S3, determining the component that can be lightened according to the predetermined sensitivity rule, includes: and selecting light-weighted parts from the thickened sensitive plate, the thinned insensitive plate and the negative sensitive plate.
Specifically, in this embodiment, it is determined whether a component is a sensitive component according to the relative sensitivity, and then the influence of thickening of all components on the sensitivity of a certain component is determined by referring to the relative sensitivity, and the two components are combined to select a component insensitive to the thickness variation of all components to reduce the thickness, thereby achieving the purpose of light weight. According to the sensitivity analysis result, based on the principle of thickening the sensitive plate, thinning the insensitive plate and the negative sensitive plate, selecting lightweight parts from the sensitivity analysis result, and performing the sensitivity analysis of each part based on the thickness by using the new energy electric automobile battery bracket structure to find out the sensitive plate, the insensitive plate and the negative sensitive plate. The sensitivity, i.e., the ratio of the frequency sensitivity to the mass sensitivity, indicates the amount of change in the corresponding modal frequency per unit mass of the vehicle body. Firstly, distinguishing a sensitive plate (the sensitivity value is positive and relatively high), an insensitive plate (the sensitivity value is about 0) and a negative sensitive plate (the sensitivity value is negative) according to the relative sensitivity value, and then selecting the sensitive plate which can be thickened properly, the insensitive plate which can be thinned and the negative sensitive plate which can be thinned by combining the sensitivity of all the parts which are thickened by 1% in the average relative sensitivity to a certain part.
It should be noted that, in this embodiment, according to the sensitivity analysis result, the sensitive plate is thickened, the insensitive plate is thinned, and the negative sensitive plate is made to be thinner, the light-weight parts that are relatively adjustable are selected, several groups of material thicknesses are selected for each light-weight part according to the material thickness commonly used for the existing structural member, and a plurality of light-weight schemes are designed through an orthogonal test method. For example, a first component part, a second component part and a third component part which can be lightened are determined, wherein the first component part has three groups of thicknesses a1, a2 and a3, the second component part has three groups of thicknesses b1, b2 and b3, and the third component part has three groups of thicknesses c1, c2 and c 3. Further, an orthogonal test method is performed to design a plurality of weight reduction schemes, in this example, any arbitrary thickness of the first component, any arbitrary thickness of the second component, and any arbitrary thickness of the third component are selected to constitute one weight reduction scheme, and so on, 27 schemes can be determined.
And S4, sequentially carrying out performance analysis on each light weight candidate scheme based on secondary development of finite element analysis calculation according to the plurality of light weight candidate schemes in the S3, and determining an optimal light weight scheme. Preferably, the performance analysis includes modal, stiffness and strength properties.
And S4, according to the plurality of lightweight candidate schemes in the S3, sequentially performing performance analysis on each lightweight candidate scheme based on secondary development of finite element analysis calculation, wherein the performance analysis comprises the following steps: s41, sequentially carrying out analysis calculation including modal and rigidity performance on each lightweight candidate scheme based on secondary development of finite element analysis calculation; s42, summarizing and comparing the structural weight, the modal performance and the rigidity and strength performance of each light weight candidate scheme; s43, obtaining a preset performance standard, and determining that the lightweight scheme with the minimum structural weight is the optimal lightweight scheme when the modal and stiffness performance meet the preset performance standard.
Specifically, in this embodiment, a hypermesh secondary development tcl environment is first built, then a script is written, the thickness of a sample piece to be changed is set as a variable, a range of the variable is set, then combination is performed according to a candidate scheme designed through an orthogonal experiment, and finally analysis of different performances is performed on all combinations. The method comprises the steps of performing performance analysis of multiple lightweight schemes by finite element analysis and calculation for one time by finite element analysis software, and performing lightweight scheme analysis obtained by designed orthogonal experiments for each main performance in sequence to obtain analysis results of the multiple lightweight schemes for each main performance.
Further, as shown in fig. 2, a specific implementation diagram of the orthogonal experiment weight reduction method for the new energy electric vehicle battery bracket in this embodiment is shown. In this embodiment, a mode and an order are obtained through mode analysis of an original design structure, then, light-weight parts are selected through sensitivity analysis, then, a plurality of light-weight schemes are designed through an orthogonal experiment method, and an optimal light-weight scheme is selected by comparing the weight of each scheme and the conditions of each main performance. Firstly, finite element modeling is carried out on the three-dimensional battery bracket by adopting a shell element, symmetrical parts are placed in the same part (component), and corresponding material properties are given to the symmetrical parts. The properties of all components are numbered starting from 1, and then the mode and order of the battery carrier are obtained through analytical calculation.
Then, battery carriage sensitivity modeling is performed. The calculation of the motto frequency relative sensitivity and the average relative sensitivity is performed by defining various types of responses including defining a weight response, defining a frequency response (modal order), defining constraints (modal frequency), defining a target (weight), defining a target variable (thickness).
And secondly, selecting light-weight parts. According to the sensitivity analysis result, based on the principle of thickening a sensitive plate, thinning an insensitive plate and a negative sensitive plate, selecting lightweight parts from the parts, selecting a plurality of groups of common thicknesses for each lightweight part according to the common material thickness of the existing structural part, wherein for example, selecting parts 1, 2, 3 and i, determining the thickness selection types (1, 2 … …) of the lightweight first part, the second part, the third part and the ith part respectively, and designing a plurality of lightweight schemes through an orthogonal test method.
Further, a lightweight scheme of orthogonal experimental design is implemented in the initial calculation model, and analysis and calculation of main performances such as mode, rigidity and strength are sequentially performed through secondary development design of finite element analysis. And finally, summarizing and comparing the structural weight and the main performance of each light weight candidate scheme, and selecting an optimal light weight scheme meeting the design requirements of the main performance.
In addition, as shown in fig. 3, a second aspect of the present invention provides a system for reducing weight of a battery bracket for a new energy electric vehicle, the system including:
the model establishing module 10 is used for performing finite element modeling on the three-dimensional battery bracket by adopting a shell unit to generate a finite element model of the battery bracket, and obtaining the modal frequency and the order of the battery bracket model through finite element analysis and calculation;
the sensitivity calculation module 20 defines a response type according to the battery bracket finite element model, and calculates the modal frequency relative sensitivity and average relative sensitivity of the response type;
a lightweight generating module 30, which determines lightweight components according to the relative sensitivity, the average relative sensitivity and a preset sensitivity rule, selects the material thickness of each selected lightweight component, and generates a plurality of lightweight candidate schemes by an orthogonal test method;
the optimal determination module 40 is used for sequentially carrying out performance analysis on each light weight candidate scheme based on secondary development of finite element analysis calculation according to the plurality of light weight candidate schemes; and determining an optimal lightweight scheme.
Furthermore, the third aspect of the present invention also provides an electronic apparatus, comprising: one or more processors, memory for storing one or more computer programs; the computer program is configured to be executed by the one or more processors, the program comprising instructions for performing the method steps for weight reduction applicable to a new energy electric vehicle battery cradle, as described above.
Furthermore, a fourth aspect of the present invention also provides a storage medium storing a computer program; the program is loaded and executed by a processor to implement the method steps for weight reduction suitable for the new energy electric vehicle battery bracket as described above.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a grid device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (5)
1. A light weight method suitable for a new energy electric vehicle battery bracket is characterized by comprising the following steps:
s1, performing finite element modeling on a three-dimensional battery bracket by adopting a shell unit to generate a battery bracket finite element model, and obtaining modal frequency and order of the battery bracket model through finite element analysis calculation;
s2, defining a response type according to the finite element model of the battery bracket, and calculating the modal frequency relative sensitivity and the white body average relative sensitivity of each component;
s3, determining parts capable of being lightened according to the relative sensitivity, the average relative sensitivity and a preset sensitivity rule, selecting the material thickness of each selected light-weighted part, and generating a plurality of light-weighted candidate schemes through an orthogonal test method;
s4, according to the plurality of light weight candidate schemes in the S3, sequentially performing performance analysis on each light weight candidate scheme based on secondary development of finite element analysis calculation, and determining an optimal light weight scheme;
wherein, S1, adopt the shell unit to carry out finite element modeling to three-dimensional battery bracket, still include:
placing symmetrical parts on the same part, giving corresponding material properties to each part, and numbering the properties of all parts from 1;
and S2, defining a response type according to the finite element model of the battery bracket, and calculating the modal frequency relative sensitivity and the white body average relative sensitivity of each part, wherein the response type comprises the following steps:
s21, respectively defining response types according to the finite element model of the battery bracket; wherein the weight response type is weight, and the frequency response type is freq;
s22, inputting the order of a first-order torsional modal frequency to the finite element model of the battery bracket, and then defining the modal frequency as a constraint condition; defining the structural weight as a target, defining all plate thicknesses as variables, and then carrying out solution analysis;
s23, searching for mass sensitivity and modal frequency sensitivity in the solution result file, and calculating the modal frequency relative sensitivity and the white body average relative sensitivity of each part;
s23, searching for mass sensitivity and modal frequency sensitivity in the solving result file, and calculating the modal frequency relative sensitivity and the white body average relative sensitivity of each part, wherein the method comprises the following steps:
wherein the relative sensitivity
Expressed as:
in the formula (I), the compound is shown in the specification,
is a first
Relative sensitivity of individual components;
is the total weight of the body in white in the initial state;
is as follows
Mass sensitivity of individual components;
is as follows
Modal frequency sensitivity of the individual components;
is the modal frequency of the initial state of the body in white;
the average relative sensitivity
Expressed as:
in the formula (I), the compound is shown in the specification,
average relative sensitivity for body-in-white;
is as follows
Initial thickness of each part, n parts in total.
2. The method for weight reduction of a new energy electric vehicle battery bracket according to claim 1, wherein the step S3 of determining the parts capable of weight reduction according to a predetermined sensitive rule comprises:
and selecting light-weighted parts from the thickened sensitive plate, the thinned insensitive plate and the negative sensitive plate.
3. The method for reducing the weight of the battery bracket suitable for the new energy electric vehicle according to claim 2, wherein the performance analysis comprises modal and stiffness performance analysis;
and S4, according to the plurality of candidate lightweight schemes in S3, sequentially performing performance analysis on each candidate lightweight scheme based on secondary development of finite element analysis calculation, wherein the performance analysis comprises the following steps:
s41, sequentially carrying out analysis and calculation on the modal performance and the stiffness performance of each light weight candidate scheme based on secondary development of finite element analysis and calculation;
s42, summarizing and comparing the structural weight, the modal performance and the rigidity strength performance of each light weight candidate scheme;
s43, obtaining a preset performance standard, and determining that the lightweight scheme with the minimum structural weight is the optimal lightweight scheme when the modal and stiffness performance meet the preset performance standard.
4. An electronic device, the electronic device comprising: one or more processors, memory for storing one or more computer programs; characterized in that the computer program is configured to be executed by the one or more processors, the program comprising steps for performing the method for lightening a new energy electric vehicle battery cradle according to any one of claims 1-3.
5. A storage medium storing a computer program; characterized in that the program is loaded and executed by a processor to realize the steps of the method for lightening the battery bracket of the new energy electric vehicle as claimed in any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211135695.5A CN115270584B (en) | 2022-09-19 | 2022-09-19 | Lightweight method suitable for new energy electric vehicle battery bracket |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211135695.5A CN115270584B (en) | 2022-09-19 | 2022-09-19 | Lightweight method suitable for new energy electric vehicle battery bracket |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115270584A CN115270584A (en) | 2022-11-01 |
| CN115270584B true CN115270584B (en) | 2022-12-23 |
Family
ID=83756960
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211135695.5A Active CN115270584B (en) | 2022-09-19 | 2022-09-19 | Lightweight method suitable for new energy electric vehicle battery bracket |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115270584B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104443039A (en) * | 2014-11-19 | 2015-03-25 | 湖南大学 | Electric car frame structure for distributed installation of battery packs |
| CN106844874A (en) * | 2016-12-27 | 2017-06-13 | 苏州奥杰汽车技术股份有限公司 | A kind of all-aluminium body light-weight design method based on sensitivity Yu CAE analysis |
| US10571642B1 (en) * | 2016-08-05 | 2020-02-25 | Southern Methodist University | Additive manufacturing of active devices using dielectric, conductive and magnetic materials |
| CN112149325A (en) * | 2020-08-28 | 2020-12-29 | 同济大学 | Finite element modeling method for flexibly-connected cylindrical cell battery module |
| CN113239596A (en) * | 2021-05-31 | 2021-08-10 | 北京理工大学 | Vehicle body lightweight method based on target shunting |
| CN113722954A (en) * | 2021-08-24 | 2021-11-30 | 唐山钢铁集团有限责任公司 | Lightweight design method for battery pack shell of electric vehicle |
| CN114970264A (en) * | 2022-05-25 | 2022-08-30 | 江铃汽车股份有限公司 | Refined finite element model building method for battery pack |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111950080A (en) * | 2020-07-29 | 2020-11-17 | 中国第一汽车股份有限公司 | Vehicle body lightweight design method |
-
2022
- 2022-09-19 CN CN202211135695.5A patent/CN115270584B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104443039A (en) * | 2014-11-19 | 2015-03-25 | 湖南大学 | Electric car frame structure for distributed installation of battery packs |
| US10571642B1 (en) * | 2016-08-05 | 2020-02-25 | Southern Methodist University | Additive manufacturing of active devices using dielectric, conductive and magnetic materials |
| CN106844874A (en) * | 2016-12-27 | 2017-06-13 | 苏州奥杰汽车技术股份有限公司 | A kind of all-aluminium body light-weight design method based on sensitivity Yu CAE analysis |
| CN112149325A (en) * | 2020-08-28 | 2020-12-29 | 同济大学 | Finite element modeling method for flexibly-connected cylindrical cell battery module |
| CN113239596A (en) * | 2021-05-31 | 2021-08-10 | 北京理工大学 | Vehicle body lightweight method based on target shunting |
| CN113722954A (en) * | 2021-08-24 | 2021-11-30 | 唐山钢铁集团有限责任公司 | Lightweight design method for battery pack shell of electric vehicle |
| CN114970264A (en) * | 2022-05-25 | 2022-08-30 | 江铃汽车股份有限公司 | Refined finite element model building method for battery pack |
Non-Patent Citations (1)
| Title |
|---|
| 电动物流车蓄电池支架优化设计;姚雨涵等;《湖北汽车工业学院学报》;20200315(第01期);第25-28页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115270584A (en) | 2022-11-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Goel et al. | A study of the convergence characteristics of multiobjective evolutionary algorithms | |
| CN106980744A (en) | Control stability and ride comfort cooperative optimization method in vehicle dynamics simulation analysis | |
| CN116306156B (en) | Vehicle body optimization method and device, storage medium and electronic equipment | |
| CN112308454B (en) | Method, device, equipment and storage medium for evaluating automobile steering stability | |
| Zhu et al. | Multi-point objective-oriented sequential sampling strategy for constrained robust design | |
| Skarka | Model-based design and optimization of electric vehicles | |
| CN112818484A (en) | Physical entity digital twin comprehensive implementation capability assessment method and system | |
| Danti et al. | Modal methodology for the simulation and optimization of the free-layer damping treatment of a car body | |
| US9098673B2 (en) | Structural optimization for vehicle crashworthiness | |
| CN107505139A (en) | A kind of vehicle method for testing fatigue and device | |
| Thyagaraja et al. | Optimizing the shear beam of a non-pneumatic wheel for low rolling resistance | |
| CN115270584B (en) | Lightweight method suitable for new energy electric vehicle battery bracket | |
| Jixiong et al. | Study on application of MSOT method for lightweight design of automobile body structure | |
| Tang et al. | Research on a lightweight unmanned sightseeing vehicle frame based on multi-condition and multi-objective optimization | |
| Aulig et al. | Preference-based topology optimization of body-in-white structures for crash and static loads | |
| CN115310327A (en) | Simulation analysis method and device for multi-working-condition combination | |
| CN103034754B (en) | The data processing subdivided modeling method of the Decoupling Mode of body lightening design | |
| Xu et al. | Comparative benchmark studies of response surface model-based optimization and direct multidisciplinary design optimization | |
| CN114065387A (en) | Frame optimization method and device, computer equipment and storage medium | |
| Li | [Retracted] Finite Element Structure Analysis of Automobile Suspension Control Arm Based on Neural Network Control | |
| Chen et al. | Multi-objective optimization of interior noise of an automotive body based on different surrogate models and NSGA-II | |
| CN113626893B (en) | Computer mechanical analysis numerical simulation method based on implicit geometric model | |
| CN111709160A (en) | Method and system for analyzing and optimizing driving dynamic performance based on truck chassis | |
| Zheng et al. | The design optimization of vehicle interior noise through structural modification and constrained layer damping treatment | |
| Van der Auweraer et al. | New approaches enabling NVH analysis to lead design in body development |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |