CN111597656A - Vehicle power battery lifting lug optimization method - Google Patents
Vehicle power battery lifting lug optimization method Download PDFInfo
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- CN111597656A CN111597656A CN202010424596.3A CN202010424596A CN111597656A CN 111597656 A CN111597656 A CN 111597656A CN 202010424596 A CN202010424596 A CN 202010424596A CN 111597656 A CN111597656 A CN 111597656A
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- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000005457 optimization Methods 0.000 title claims abstract description 50
- 239000000463 material Substances 0.000 claims abstract description 11
- 238000003466 welding Methods 0.000 claims description 31
- 230000001133 acceleration Effects 0.000 claims description 13
- 230000005484 gravity Effects 0.000 claims description 9
- 238000006073 displacement reaction Methods 0.000 claims description 4
- 238000009826 distribution Methods 0.000 abstract description 3
- 238000004364 calculation method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 3
- 229910052782 aluminium Inorganic materials 0.000 description 3
- AZDRQVAHHNSJOQ-UHFFFAOYSA-N alumane Chemical group [AlH3] AZDRQVAHHNSJOQ-UHFFFAOYSA-N 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000004411 aluminium Substances 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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- G06F2111/10—Numerical modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses a method for optimizing a lifting lug of a vehicle power battery, which comprises the following steps: acquiring boundary parameters and performance parameters of a lifting lug to be optimized, and obtaining a lifting lug model according to the boundary parameters and the performance parameters; simulating the actual working condition of the lifting lug model according to the preset working condition parameters; and performing topological optimization iterative computation by using a smooth finite element method and a variable density method to obtain an optimized model by optimizing the lifting lug model under the actual working condition. The invention aims at minimizing the volume, and adopts a smooth finite element method and a variable density method to perform topological optimization iterative computation on the lifting lug model under the actual working condition, namely, according to the given load condition, constraint condition and performance index, the material distribution of the lifting lug model is structurally optimized in a given design area, so as to obtain the lifting lug structure with the minimum volume and capable of meeting the strength of the actual working condition.
Description
Technical Field
The invention relates to the technical field of structural optimization design, in particular to a method for optimizing a lifting lug of a vehicle power battery.
Background
Pure electric vehicles are the mainstream of new energy automobile industry, and power battery is electric vehicles's the most important structure, and battery package cast aluminium structure box is a feasible technical route, and cast aluminium structure is also adopted to the lug of cast aluminium box. One end of the lifting lug is welded on the battery pack, and the other end of the lifting lug is fixedly connected on a chassis of the automobile through a bolt hole, so that the lifting lug and the battery pack are fixed together.
However, when the automobile is in a driving process, the lifting lug bears the gravity of the battery, and also needs to bear the random vibration of the driving of the automobile, meanwhile, the lifting lug bears the impact in the vertical direction when meeting a protrusion or a pit, and bears the longitudinal inertia impact when braking or accelerating, so that the power battery bears the impact force in the vertical direction and the longitudinal direction, most of the lifting lugs on the existing battery pack are difficult to bear various impact external forces, the damage probability of the lifting lug of the power battery is higher, the lifting lug can be generally damaged only by increasing the size of the lifting lug for improving the strength of the lifting lug, the material waste is caused, and meanwhile, the weight is.
Therefore, how to solve the problem that the conventional battery lifting lug is large in size and difficult to meet the strength requirement is a problem to be solved urgently by those skilled in the art at present.
Disclosure of Invention
In view of this, the invention aims to provide an optimization method for a vehicle power battery lifting lug, which can realize the light weight of the lifting lug on the premise of ensuring the use strength of the lifting lug.
In order to achieve the above purpose, the invention provides the following technical scheme:
a vehicle power battery lifting lug optimization method comprises the following steps: acquiring boundary parameters and performance parameters of a lifting lug to be optimized, and obtaining a lifting lug model according to the boundary parameters and the performance parameters; simulating the actual working condition of the lifting lug model according to preset working condition parameters; and performing topological optimization iterative computation by using a smooth finite element method and a variable density method to obtain an optimized model by optimizing the lifting lug model under the actual working condition.
Preferably, the obtaining of the boundary parameter and the performance parameter of the lifting lug to be optimized and the obtaining of the lifting lug model according to the boundary parameter and the performance parameter comprise: and acquiring the length, the width and the height of the lifting lug to be optimized, and obtaining a cuboid modeling model as a lifting lug model according to the performance parameters of the preset material of the lifting lug to be optimized.
Preferably, the actual working condition of the lifting lug model set according to the preset working condition parameters comprises: determining a bolt hole and a welding surface of the lifting lug model according to preset parameters; applying a preset gravity load to the welding surface; applying preset acceleration to the lifting lug model; constraining a degree of freedom of the bolt hole.
Preferably, determining the bolt hole and the welding surface of the lifting lug model according to preset parameters comprises: determining the welding surface, wherein the welding surface is one side surface of the cuboid modeling model and is perpendicular to the long edge of the cuboid modeling model; confirm the bolt hole, the bolt hole with the face of weld is followed the distance on long limit direction is the distance of predetermineeing, the bolt hole with the distance on long limit is half of broadside length, just the bolt hole is followed the direction of height of cuboid model building model run through in the cuboid model building model.
Preferably, the applying of the preset gravitational load to the welding surface comprises: applying a predetermined gravitational load to a center point of the weld face.
Preferably, the applying the preset acceleration to the shackle model includes: and applying 3g acceleration in the vertical direction and 1.5g acceleration in the horizontal direction to the lifting lug model.
Preferably, constraining the degrees of freedom of the bolt holes comprises: constraining six degrees of freedom of the bolt hole.
Preferably, with the structure minimization as a target, performing topological optimization iterative computation by using a smooth finite element method and a variable density method, and optimizing the lifting lug model under the actual working condition includes: carrying out mesh division on the lifting lug model; determining an optimized design area and a non-optimized design area of the lifting lug model according to preset conditions; constraining the preset maximum stress and the maximum displacement of the lifting lug model; and performing topological optimization iterative computation by adopting a smooth finite element method and a variable density method according to a preset target of structure minimization, and optimizing the optimization design area to obtain an optimization model.
Preferably, the mesh division of the lifting lug model comprises: the method adopts a second-order unit grid with intermediate nodes, takes a divided hexahedral grid as a main body, and the grid size ranges from 1mm to 2 mm.
Preferably, the determining the optimal design region and the non-optimal design region of the lifting lug model according to the preset condition includes: the welding surface is a non-optimization design area, and the lifting lug model is an optimization design area except the welding surface.
According to the optimization method of the power battery lifting lug for the vehicle, provided by the invention, a lifting lug model is obtained by obtaining boundary parameters and performance parameters of the lifting lug to be optimized, then the actual working condition of the lifting lug model is simulated according to preset working condition parameters, and finally, the lifting lug model in the actual working condition is subjected to topological optimization iterative computation by adopting a smooth finite element method and a variable density method aiming at the purpose of minimizing the volume, namely, the material distribution of the lifting lug model is subjected to structural optimization in a given design area according to a given load condition, constraint conditions and performance indexes, so that a lifting lug structure which is the smallest in volume and can meet the strength of the actual working condition is obtained.
In addition, according to the lifting lug structure with the minimum volume obtained through theoretical calculation, secondary design can be performed by combining a manufacturing process, and specifically, the lifting lug structure with the minimum volume obtained through theoretical calculation can be derived and provided for three-dimensional design software to serve as a reference for redesign.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of an embodiment of a method for optimizing a lifting lug of a power battery for a vehicle according to the present invention;
FIG. 2 is a schematic diagram of a cuboid modeling model;
fig. 3 is a schematic structural diagram of a lifting lug optimized by the method for optimizing the lifting lug of the power battery for the vehicle provided by the invention.
Wherein, 1 is a welding surface and a 2-bolt hole.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The core of the invention is to provide an optimization method for the vehicle power battery lifting lug, which can realize the light weight of the lifting lug on the premise of ensuring the use strength of the lifting lug.
Referring to fig. 1 to 3, fig. 1 is a flowchart illustrating an embodiment of a method for optimizing a lifting lug of a power battery for a vehicle according to the present invention; FIG. 2 is a schematic diagram of a cuboid modeling model; fig. 3 is a schematic structural diagram of a lifting lug optimized by the method for optimizing the lifting lug of the power battery for the vehicle provided by the invention.
The invention provides a method for optimizing a power battery lifting lug for a vehicle, which comprises the following steps: acquiring boundary parameters and performance parameters of a lifting lug to be optimized, and obtaining a lifting lug model according to the boundary parameters and the performance parameters; simulating the actual working condition of the lifting lug model according to the preset working condition parameters; and performing topological optimization iterative computation by using a smooth finite element method and a variable density method to obtain an optimized model by optimizing the lifting lug model under the actual working condition.
The boundary parameter of the lifting lug to be optimized can be the size parameter of the lifting lug to be optimized, and can also be the size parameter of a space between a chassis and a battery pack when the lifting lug to be optimized is connected with the battery pack and an automobile chassis, so that the obtained lifting lug model can be the same model as the lifting lug to be optimized, and can also be a model larger than the size of the lifting lug to be optimized.
The preset working condition parameters are the constraint and load of the lifting lug in the actual working process, so as to simulate the actual working condition of the lifting lug model, then the topological optimization iterative computation is carried out by adopting a smooth finite element method and a variable density method with the aim of minimizing the volume, and the lifting lug model is optimized so as to obtain the optimized lifting lug model, namely the optimization model. .
According to the optimization method of the power battery lifting lug for the vehicle, provided by the invention, a lifting lug model is obtained by obtaining boundary parameters and performance parameters of the lifting lug to be optimized, then the actual working condition of the lifting lug model is simulated according to preset working condition parameters, and finally, the lifting lug model in the actual working condition is subjected to topological optimization iterative computation by adopting a smooth finite element method and a variable density method aiming at the purpose of minimizing the volume, namely, the material distribution of the lifting lug model is subjected to structural optimization in a given design area according to a given load condition, constraint conditions and performance indexes, so that a lifting lug structure which is the smallest in volume and can meet the strength of the actual working condition is obtained.
In addition, according to the lifting lug structure with the minimum volume obtained through theoretical calculation, secondary design can be performed by combining a manufacturing process, and specifically, the lifting lug structure with the minimum volume obtained through theoretical calculation can be derived and provided for three-dimensional design software to serve as a reference for redesign.
On the basis of the above embodiment, as an optimization, obtaining boundary parameters and performance parameters of the lifting lug to be optimized, and obtaining the lifting lug model according to the boundary parameters and the performance parameters includes: and acquiring the length, width and height of the lifting lug to be optimized, and obtaining a cuboid modeling model as the lifting lug model according to the performance parameters of the preset material of the lifting lug to be optimized. That is, in this embodiment, the cuboid modeling model of the lifting lug is obtained by obtaining the length, width, and height of the lifting lug to be optimized and according to the performance parameters of the preset material, for example, the length, width, and height of the lifting lug to be optimized are L, W, H respectively, the preset material is cast aluminum 201, and the performance parameters of the preset material include: elastic modulus of 7e4MPa, Poisson's ratio of 0.35, density of 2750kg/mm3And a tensile strength of 145 MPa. Thus, can obtainTo a length, width and height of L, W, H, the material is a cuboid modeling model of cast aluminum 201.
On the basis of the foregoing embodiment, as an optimization, the setting of the actual operating condition of the lifting lug model according to the preset operating condition parameters includes: determining a bolt hole and a welding surface of the lifting lug model according to preset parameters; applying a preset gravity load to the welding surface; applying preset acceleration to the lifting lug model; the degree of freedom of the bolt hole is restrained.
In other words, in this embodiment, it is considered that one end of the lug in the actual working condition is welded to the battery pack, and the other end of the lug is fixedly connected to the chassis of the automobile through the bolt hole, so that the welding surface and the bolt on the lug model can be determined according to the position relationship between the welding surface and the bolt hole on the lug to be optimized, that is, the preset parameter is the position relationship between the welding surface and the bolt hole on the lug with the optimized lug.
The face of weld receives the gravity of battery package, consequently, need exert a gravity load on the face of weld, for example, the battery package is 500Kg at gravity, distributes on the battery package and has 10 lugs, and then the gravity that every lug should bear is 50Kg, and this predetermined gravity load is 50Kg promptly, and the lug model still can receive other impact forces simultaneously, consequently, need exert predetermined acceleration on the lug model to the impact force that the simulation lug model received. The bolt hole is at the chassis fixed connection of operating condition and car, consequently, still need restrict the degree of freedom of bolt hole according to operating condition.
On the basis of the foregoing embodiment, in consideration of the specific arrangement manner of the bolt holes and the welding surfaces on the shackle model, as an optimal option, determining the bolt holes and the welding surfaces of the shackle model according to the preset parameters includes: determining a welding surface, wherein the welding surface is one side surface of the cuboid modeling model and is vertical to the long edge of the cuboid modeling model; and determining a bolt hole, wherein the distance between the bolt hole and the welding surface along the long edge direction is a preset distance, the distance between the bolt hole and the long edge is half of the length of the wide edge, and the bolt hole penetrates through the cuboid modeling model along the height direction of the cuboid modeling model.
In this embodiment promptly, the bolt hole is located cuboid model's the intermediate position along width direction, and the preset distance can be for waiting to optimize the bolt hole on the lug and the distance of face of weld, so, alright confirm the position of bolt hole according to the face of weld.
On the basis of the above-mentioned embodiments, in consideration of the specific manner of applying the load on the shackle model, as a preferable mode, the applying of the preset gravitational load to the welding surface includes: a predetermined gravitational load is applied to the center point of the weld face. On the basis of the above embodiment, as a preferable mode, the applying of the preset acceleration to the shackle model includes: a vertical 3g acceleration and a horizontal 1.5g acceleration were applied to the shackle model. Of course, the specific numerical value can be flexibly set according to the actual working condition. Preferably, the restricting the degree of freedom of the bolt hole includes: six degrees of freedom of the bolt hole are constrained.
On the basis of the above embodiment, as an optimization, with the structure minimization as a target, performing topological optimization iterative computation by using a smooth finite element method and a variable density method, and optimizing the lifting lug model under the actual working condition includes: carrying out mesh division on the lifting lug model; determining an optimized design area and a non-optimized design area of the lifting lug model according to preset conditions; constraining the preset maximum stress and the maximum displacement of the lifting lug model; and performing topological optimization iterative computation by adopting a preset target of structure minimization and a smooth finite element method and a variable density method, and optimizing an optimization design area to obtain an optimization model. Wherein, the maximum stress of the restraint lifting lug structure can be 50Mpa, and the maximum displacement can be 0.5 mm.
On the basis of the foregoing embodiment, as a preferable option, the meshing the lifting lug model includes: the method adopts a second-order unit grid with intermediate nodes, takes a divided hexahedral grid as a main body, and the size of the grid is 1mm-2 mm. Of course, other mesh division modes can be selected according to needs.
On the basis of the foregoing embodiment, as an optimization, determining the optimal design region and the non-optimal design region of the lifting lug model according to a preset manner includes: the welding surface is a non-optimal design area, and the lifting lug model is an optimal design area except the welding surface. Since the welding surface is welded to the battery pack, the integrity of the welding surface should be ensured in order to ensure the reliability of the connection between the lifting lug and the battery pack, and therefore, in this embodiment, the welding surface is used as a non-optimal design region.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The above detailed description is provided for the vehicle power battery lifting lug optimization method provided by the invention. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. A vehicle power battery lifting lug optimization method is characterized by comprising the following steps:
acquiring boundary parameters and performance parameters of a lifting lug to be optimized, and obtaining a lifting lug model according to the boundary parameters and the performance parameters;
simulating the actual working condition of the lifting lug model according to preset working condition parameters;
and performing topological optimization iterative computation by using a smooth finite element method and a variable density method to obtain an optimized model by optimizing the lifting lug model under the actual working condition.
2. The method for optimizing the lifting lug of the vehicle power battery according to claim 1, wherein the step of obtaining the boundary parameter and the performance parameter of the lifting lug to be optimized and obtaining the lifting lug model according to the boundary parameter and the performance parameter comprises the steps of:
and acquiring the length, the width and the height of the lifting lug to be optimized, and obtaining a cuboid modeling model as a lifting lug model according to the performance parameters of the preset material of the lifting lug to be optimized.
3. The vehicle power battery lug optimization method according to claim 2, wherein the setting of the actual operating conditions of the lug model according to the preset operating condition parameters comprises:
determining a bolt hole and a welding surface of the lifting lug model according to preset parameters;
applying a preset gravity load to the welding surface;
applying preset acceleration to the lifting lug model;
constraining a degree of freedom of the bolt hole.
4. The vehicle power battery lug optimization method according to claim 3, wherein determining bolt holes and weld faces of the lug model according to preset parameters comprises:
determining the welding surface, wherein the welding surface is one side surface of the cuboid modeling model and is perpendicular to the long edge of the cuboid modeling model;
confirm the bolt hole, the bolt hole with the face of weld is followed the distance on long limit direction is the distance of predetermineeing, the bolt hole with the distance on long limit is half of broadside length, just the bolt hole is followed the direction of height of cuboid model building model run through in the cuboid model building model.
5. The vehicle power battery lug optimization method according to claim 4, wherein the applying of the preset gravitational load to the weld face comprises: applying a predetermined gravitational load to a center point of the weld face.
6. The vehicle power battery lug optimization method according to claim 5, wherein applying the preset acceleration to the lug model comprises: and applying 3g acceleration in the vertical direction and 1.5g acceleration in the horizontal direction to the lifting lug model.
7. The vehicle power battery lug optimization method according to claim 6, wherein constraining the bolt hole to have a degree of freedom comprises: constraining six degrees of freedom of the bolt hole.
8. The vehicle power battery lifting lug optimization method according to any one of claims 4 to 7, wherein a smooth finite element method and a variable density method are adopted to perform topological optimization iterative computation with the aim of structural minimization, and the optimization of the lifting lug model under the actual working condition comprises the following steps:
carrying out mesh division on the lifting lug model;
determining an optimized design area and a non-optimized design area of the lifting lug model according to preset conditions;
constraining the preset maximum stress and the maximum displacement of the lifting lug model;
and performing topological optimization iterative computation by adopting a smooth finite element method and a variable density method according to a preset target of structure minimization, and optimizing the optimization design area to obtain an optimization model.
9. The vehicle power battery lug optimization method according to claim 8, wherein the meshing the lug model comprises: the method adopts a second-order unit grid with intermediate nodes, takes a divided hexahedral grid as a main body, and the grid size ranges from 1mm to 2 mm.
10. The vehicle power battery lifting lug optimization method according to claim 9, wherein the determining the optimal design area and the non-optimal design area of the lifting lug model according to the preset condition comprises: the welding surface is a non-optimization design area, and the lifting lug model is an optimization design area except the welding surface.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112464539A (en) * | 2020-12-16 | 2021-03-09 | 北方特种能源集团有限公司西安庆华公司 | ANSYS-based simulation analysis method for thermal battery support lug impact resistance |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005242679A (en) * | 2004-02-26 | 2005-09-08 | Ngk Insulators Ltd | Structure analysis method for cell structure and cell structure |
| WO2018082642A1 (en) * | 2016-11-04 | 2018-05-11 | 南方科技大学 | Product structure design method |
| CN109726484A (en) * | 2018-12-30 | 2019-05-07 | 北京工业大学 | More material Topology Optimization Design of Continuum Structures methods based on independent Continuous Mappings method |
| CN110162828A (en) * | 2019-03-29 | 2019-08-23 | 江铃汽车股份有限公司 | A kind of battery bag support light-weight design method |
-
2020
- 2020-05-19 CN CN202010424596.3A patent/CN111597656B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005242679A (en) * | 2004-02-26 | 2005-09-08 | Ngk Insulators Ltd | Structure analysis method for cell structure and cell structure |
| WO2018082642A1 (en) * | 2016-11-04 | 2018-05-11 | 南方科技大学 | Product structure design method |
| CN109726484A (en) * | 2018-12-30 | 2019-05-07 | 北京工业大学 | More material Topology Optimization Design of Continuum Structures methods based on independent Continuous Mappings method |
| CN110162828A (en) * | 2019-03-29 | 2019-08-23 | 江铃汽车股份有限公司 | A kind of battery bag support light-weight design method |
Non-Patent Citations (2)
| Title |
|---|
| 王品健等: "纯电动汽车动力电池包结构轻量化设计", pages 29 - 33 * |
| 郭学兵: "基于光滑有限元法的拓扑优化", pages 7 - 46 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112464539A (en) * | 2020-12-16 | 2021-03-09 | 北方特种能源集团有限公司西安庆华公司 | ANSYS-based simulation analysis method for thermal battery support lug impact resistance |
| CN112464539B (en) * | 2020-12-16 | 2024-05-14 | 北方特种能源集团有限公司西安庆华公司 | Simulation analysis method for thermal battery lug impact resistance based on ANSYS |
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