CN115270584A - Lightweight method suitable for new energy electric vehicle battery bracket - Google Patents
Lightweight method suitable for new energy electric vehicle battery bracket Download PDFInfo
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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 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 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 automobile 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 ideas to reduce the weight, i.e., to reduce the weight of the material and the structure. 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 many times according to traditional light-weight methods and work experiences of the engineers to obtain final light-weight schemes meeting various main performances. 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 suitable for 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 and 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 according to the plurality of light weight candidate schemes in the S3, and determining an optimal light weight scheme.
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 all parts are numbered with the property starting at 1.
Preferably, the step S2, defining a response type according to the finite element model of the battery carrier, and calculating the modal frequency relative sensitivity and average relative sensitivity thereof, includes:
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 a first
Relative sensitivity of individual components;
is the total weight of the initial state of the body in white;
is as follows
Mass sensitivity of the individual components;
is as follows
Modal frequency of individual componentsRate sensitivity;
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 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.
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, determining that the light weight scheme with the minimum structure weight is the optimal light weight scheme when the modal and rigidity 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 suitable for a new energy electric vehicle battery cradle as described above.
Furthermore, a third aspect of the present invention 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 required 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 those skilled in the art can also obtain other related drawings based on 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 specific implementation schematic diagram of an orthogonal experiment lightweight method of a new energy electric vehicle battery bracket disclosed in the embodiment of the 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 reducing weight of a battery bracket of an electric vehicle using new energy 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 components are placed on the same component (component), and corresponding material properties are given to the components. 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 the 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 battery bracket.
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 white car body increased by 1% by thickening a certain part and the performance change of the white car body, as shown in formula (1):
in the formula (I), the compound is shown in the specification,
is as follows
Relative sensitivity of individual components;
is the total weight of the initial state of the body in white;
is as follows
Mass sensitivity of the individual components;
is a first
Modal frequency sensitivity of the individual components;
is the modal frequency of the initial state of the body in white.
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, for a total of n parts;
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 the 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 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.
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 the embodiment, a hypermesh secondary development tcl environment is firstly built, then a script is compiled, the thickness of a sample piece needing to be changed is set as a variable, the 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 lightweight method for the new energy electric vehicle battery bracket according to the embodiment is shown. In the embodiment, the mode and the order are obtained through the mode analysis of the original design structure, then the lightweight parts are selected through the sensitivity analysis, then a plurality of lightweight schemes are designed through an orthogonal experiment method, and the optimal lightweight scheme is selected through comparing the weight and the main performance of each scheme. The method comprises the steps of firstly, carrying out finite element modeling on a three-dimensional battery bracket by adopting a shell unit, placing symmetrical parts on the same part (component), and endowing the same with corresponding material properties. 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 calculations of motte frequency relative sensitivity and average relative sensitivity are performed by defining various types of responses including defining weight responses, defining frequency responses (modal order), defining constraints (modal frequency), defining targets (weight), defining objective variables (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, respectively determining the thickness selection types (1, 2 \8230; 8230; and ith part), 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 modal and rigidity 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 battery bracket finite element model, 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 finite element model of the battery bracket, and calculates the modal frequency relative sensitivity and the average relative sensitivity;
the light weight generation module 30 is used for determining light-weight parts according to the relative sensitivity, the average relative sensitivity and a preset sensitivity rule, selecting the material thickness of each selected light-weight part, and generating a plurality of light-weight candidate schemes through an orthogonal test method;
the optimal determination module 40 is used for sequentially carrying out performance analysis on each lightweight candidate scheme based on secondary development of finite element analysis calculation according to the plurality of lightweight candidate schemes; and determining an optimal lightweight scheme.
Furthermore, a third aspect of the present invention provides an electronic apparatus, including: 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 suitable for a new energy electric vehicle battery cradle as described above.
Furthermore, a fourth aspect of the present invention 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 technical solution. 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 various media capable of storing program codes.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only examples 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 lightweight 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 and 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 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;
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 average relative sensitivity of the response type, wherein the steps comprise:
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 modal frequency relative sensitivity and average relative sensitivity of the mass sensitivity and the modal frequency sensitivity;
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 weight reduction of the new energy electric vehicle battery bracket according to claim 2, wherein the performance analysis includes modal and stiffness properties;
and S4, according to the plurality of light weight candidate schemes in S3, sequentially performing performance analysis on each light weight candidate 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, determining that the light weight scheme with the minimum structure weight is the optimal light weight scheme when the modal and rigidity 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 instructions for carrying out the method steps of 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.
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| CN202211135695.5A CN115270584B (en) | 2022-09-19 | 2022-09-19 | Lightweight method suitable for new energy electric vehicle battery bracket |
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Citations (8)
| 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 |
| 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 |
| 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 |
-
2022
- 2022-09-19 CN CN202211135695.5A patent/CN115270584B/en active Active
Patent Citations (8)
| 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 |
| 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 |
| 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 |
|---|
| 姚雨涵等: "电动物流车蓄电池支架优化设计", 《湖北汽车工业学院学报》 * |
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