CN115292823B - Method and equipment for optimizing structure of automobile power battery pack - Google Patents
Method and equipment for optimizing structure of automobile power battery pack Download PDFInfo
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Abstract
The application discloses a method and equipment for optimizing the structure of an automobile power battery pack, which comprises the following steps: a rough structure model establishing step: establishing a rough structure model based on parts of the automobile power battery pack; a first sensitivity analysis step: performing sensitivity analysis on the rough structure model based on a first sensitivity analysis method to determine one or more first sensitivity parts; establishing a fine structure model: establishing a fine structure model based on one or more first sensitivity parts; a second sensitivity analysis step: performing sensitivity analysis on the fine structure model based on a second sensitivity analysis method to determine one or more second sensitivity parts; and (3) optimizing: and one or more second sensitivity parts are structurally optimized, so that the optimization efficiency and accuracy of the automobile power battery pack are improved.
Description
Technical Field
The present application relates to the field of automotive power battery packs, and in particular, to a method, apparatus, and computer-readable storage medium for optimizing the structure of an automotive power battery pack.
Background
For new energy vehicles, the power battery pack is a key core part, and the performance of the power battery pack affects the driving safety and the driving mileage. At present, the volume and the weight of power battery are generally bigger, and on the premise that the battery module is difficult to change, the lightweight optimization design of the structure is particularly important.
The method is characterized in that the structure of the power battery pack of the automobile is optimally designed, all parts capable of being optimized are used as design parameters or a plurality of optimized parts are selected as the design parameters manually and blindly in the existing method, so that the optimized design parameters or the number of the optimized design parameters is large or useless design parameters exist, and the efficiency and the accuracy of the integral optimized design are greatly reduced.
Disclosure of Invention
The technical problem that this application mainly solved is how to improve optimization efficiency and the rate of accuracy of car power battery package.
According to a first aspect, there is provided in one embodiment an automotive power pack method comprising: a rough structure model establishing step: establishing a rough structure model based on parts of the automobile power battery pack; a first sensitivity analysis step: performing sensitivity analysis on the rough structure model based on a first sensitivity analysis method, and determining one or more first sensitivity parts; establishing a fine structure model: establishing a fine structure model based on one or more first sensitivity parts; a second sensitivity analysis step: performing sensitivity analysis on the fine structure model based on a second sensitivity analysis method to determine one or more second sensitivity parts; and (3) optimizing: one or more second sensitivity components are structurally optimized.
In some embodiments, the first sensitivity analyzing step comprises: carrying out NVH and mechanical performance analysis on the rough structure model to obtain a first performance analysis result; determining a first performance analysis target with the largest influence on the automobile working condition from NVH and mechanical performance analysis based on the first performance analysis result; analyzing a first performance analysis target of the coarse structure model based on a first sensitivity analysis method to determine the sensitivity of one or more parts of the coarse structure model; and determining one or more parts of the rough structure model with the sensitivity higher than the first threshold value as one or more first sensitivity parts.
In some embodiments, the second sensitivity analysis step comprises: NVH and mechanical performance analysis is carried out on the fine structure model to obtain a second performance analysis result; determining a second performance analysis target with the largest influence on the automobile working condition from NVH and mechanical performance analysis based on a second performance analysis result; analyzing a second performance analysis target of the fine structure model based on a second sensitivity analysis method to determine the sensitivity of one or more parts of the fine structure model; determining parts of the fine structure model having a sensitivity higher than a second threshold as one or more second sensitive parts;
in some embodiments, the step of building the rough structure model comprises: the grid size of the rough structure model is increased, the number of non-optimized parts is reduced, and the battery module is changed into a counterweight unit.
In some embodiments, the optimizing step comprises: and carrying out DOE (design of experiments) on the basis of the fine structure model, and determining the structural parameters of one or more second sensitivity parts.
In some embodiments, after the optimizing step, a checking step is further included; the checking step comprises: adjusting the fine structure model according to the structure parameters of one or more second sensitivity parts; and carrying out NVH and mechanical performance analysis on the adjusted fine structure model, completing structure optimization if the performance analysis result meets the requirement, adding part of parts in the coarse structure model into the fine structure model if the performance analysis result does not meet the requirement, and then carrying out a second sensitivity analysis step, an optimization step and a check step again based on the added fine structure model.
In some embodiments, the NVH and mechanical property analysis includes one or more of a modal analysis, a static strength analysis, a stiffness analysis, a crush analysis, a drop analysis, a mechanical impact analysis, a crash analysis, and a floor ball impact analysis.
In some embodiments, the first sensitivity analysis method comprises a Sobol analysis method, a Morris method, an EFAST method, a GSE method, or a USM method; the second sensitivity analysis method includes a Sobol analysis method, a Morris method, an EFAST method, a GSE method, or a USM method.
According to a second aspect, there is provided in an embodiment an electronic device comprising: a memory; a processor; and a computer program; wherein the computer program is stored in a memory and configured to be executed by a processor to implement the method as described above in the first aspect.
According to a third aspect, an embodiment provides a computer readable storage medium having a program stored thereon, the program being executable by a processor to implement the method of any of the first aspects as described above.
According to the method and the device for optimizing the structure of the automobile power battery pack and the computer-readable storage medium, the optimized parts are determined by analyzing the sensitivity of the parts in the structural model, so that the optimized parts are structurally optimized, and the optimization efficiency and the accuracy of the automobile power battery pack are improved.
Drawings
Fig. 1 is a schematic flow chart of a method for optimizing a structure of an automotive power battery pack according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an external view of a rough texture model according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an internal view of a rough texture model according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a component for determining one or more first sensitivity levels provided in an embodiment of the present application;
FIG. 5 is a schematic diagram of an external view of a fine structure model provided in an embodiment of the present application;
FIG. 6 is a schematic diagram of an internal view of a fine structure model provided in an embodiment of the present application;
FIG. 7 is a schematic diagram of a component for determining one or more second sensitivity levels provided by an embodiment of the present application;
FIG. 8 is a schematic diagram of a checking step according to an embodiment of the present application;
fig. 9 is a schematic view of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail below with reference to the accompanying drawings by way of specific embodiments. Wherein like elements in different embodiments have been given like element numbers associated therewith. In the following description, numerous details are set forth in order to provide a better understanding of the present application. However, those skilled in the art will readily recognize that some of the features may be omitted or replaced with other elements, materials, methods in different instances. In some instances, certain operations related to the present application have not been shown or described in detail in order to avoid obscuring the core of the present application from excessive description, and it is not necessary for those skilled in the art to describe these operations in detail, so that they may be fully understood from the description in the specification and the general knowledge in the art.
Furthermore, the features, operations, or characteristics described in the specification may be combined in any suitable manner to form various embodiments. Also, the various steps or actions in the method descriptions may be transposed or transposed in order, as will be apparent to one of ordinary skill in the art. Thus, the various sequences in the specification and drawings are for the purpose of describing certain embodiments only and are not intended to imply a required sequence unless otherwise indicated where such sequence must be followed.
The numbering of the components as such, e.g., "first", "second", etc., is used herein only to distinguish the objects as described, and does not have any sequential or technical meaning. The term "connected" and "coupled" as used herein includes both direct and indirect connections (couplings), unless otherwise specified.
The structure optimization is carried out on the power battery pack, and the structure optimization design is mainly carried out on certain parts, so that the NVH and mechanical properties of the power battery pack are improved, the thickness of the parts is reduced, the weight of the power battery pack is reduced, topology and appearance optimization is carried out, and the layout of reinforcing ribs is changed.
In a power battery pack optimal design process, the method comprises the following steps: firstly, establishing a power battery pack model; secondly, performing CAE simulation analysis on the power battery pack model to determine an optimized design working condition; thirdly, the thickness sizes of all the optimizable parts or the thickness sizes of a plurality of parts are selected as design parameters in a man-made blind mode, and the optimization design is carried out on the design parameters; checking the optimization design result, if the optimization design result is met, finishing the optimization, and if the optimization design result is not met, reselecting design parameters of the parts to carry out optimization design;
when the parts are determined as the optimized design parameters, the sensitivity of each part in the whole model is not analyzed, all parts with high sensitivity cannot be ensured to be used as the design parameters, and parts with low sensitivity can also be used as the design parameters, so that the number of optimized samples is excessive in the optimized design process, useless sample schemes are easy to appear, the analysis calculation amount is increased, and the optimized analysis efficiency and accuracy are reduced; the precision of the optimization design result is low, the obtained design scheme is not necessarily the optimal design scheme, and when the performance check is not satisfied, the optimization analysis is repeatedly performed due to the fact that the sensitivity of parts is unknown, such as the aim of increasing and decreasing the design parameters, and finally the efficiency of the whole optimization design is greatly reduced.
Sensitivity represents the impact on the performance of an automotive part, on its size reduction or increase at design optimization. For example, the reduced size of the high-sensitivity component has a greater impact on the performance of the component. For another example, a low-sensitivity component has a small influence on the performance of the component when the component is reduced in size. So if the high sensitivity components are optimized to meet the requirements, the low sensitivity components will basically also meet the requirements.
In the embodiment of the application, a method for optimizing the structure of an automobile power battery pack as shown in fig. 1 is provided, and the method comprises the following steps of S101-S104:
step S101, a coarse structure model establishing step: establishing a rough structure model based on parts of the automobile power battery pack;
the power battery pack is a component in an automobile, and the power battery pack comprises a plurality of parts, such as an upper shell, a lower shell, a lifting lug, a battery, a wire harness, a battery management system, a heat dissipation cold plate, a cooling pipeline and the like.
In some embodiments, when building the rough structure model, the model may be simplified appropriately to improve the computational efficiency, for example, increasing the grid size of the rough structure model, reducing the non-optimized components and changing the battery module into the counterweight unit. In some embodiments, increasing the mesh size of the rough structure model means expanding the mesh size in the model, and in some embodiments, reducing the non-optimized components may be reducing the non-optimized components such as wiring harnesses, battery management systems, heat sink cold plates, cooling ducts, and the like. In some embodiments, changing the battery module into the counterweight unit means combining a plurality of optimized parts, and adding the weights of the plurality of optimized parts, combining the parts into one part, and then performing optimization.
In some embodiments, an external view of the created roughness model is shown in FIG. 2 and an internal view of the created roughness model is shown in FIG. 3.
Step S102, a first sensitivity analysis step: performing sensitivity analysis on the rough structure model based on a first sensitivity analysis method to determine one or more first sensitivity parts;
the first sensitivity analysis method includes a Sobol analysis method, a Morris method, an EFAST method, a GSE method, or a USM method.
In some embodiments, step S102 may be performed by the steps shown in fig. 4, where fig. 4 is a schematic diagram of determining one or more first sensitivity components provided in the embodiments of the present application, and includes steps S401 to S404:
s401, carrying out NVH and mechanical performance analysis on the rough structure model to obtain a first performance analysis result;
NVH analysis is the analysis of noise, vibration and sound vibration roughness in automobiles. NVH and mechanical property analysis includes one or more of modal analysis, static strength analysis, stiffness analysis, crush analysis, drop analysis, mechanical impact analysis, crash analysis, and floor ball impact analysis.
The first performance analysis results represent the results of the analysis of the coarse structure model in the NVH and mechanical performance analyses. As an example, the first performance analysis result is that the first order natural frequency in the modal analysis is higher than 40% of the standard requirement, the maximum stress in the static strength analysis is higher than 15% of the standard requirement, the maximum stress in the stiffness analysis is higher than 25% of the standard requirement, the crush distance in the crush analysis is higher than 50% of the maximum crush distance, the maximum strain in the drop analysis is higher than 50% of the standard requirement, the maximum stress in the mechanical impact analysis is higher than 10% of the standard requirement, the maximum strain in the impact analysis is higher than 50% of the standard requirement, and the maximum strain in the floor ball impact analysis is higher than 50% of the standard requirement.
S402, determining a first performance analysis target with the largest influence on the automobile working condition from NVH and mechanical performance analysis based on a first performance analysis result;
the first performance analysis target represents a performance analysis target which has the largest influence on the working condition of the automobile, namely is closest to the standard requirement when the structure of the power battery pack is optimized. As an example, as can be seen from the example of step S401, the maximum stress in the mechanical shock analysis is higher than 10% of the standard requirement, and the result of the performance analysis is closest to the standard requirement, so the mechanical shock analysis is the first performance analysis target.
Step S403, analyzing a first performance analysis target of the rough structure model based on a first sensitivity analysis method to determine the sensitivity of one or more parts of the rough structure model;
as an example, the mechanical impact is simulated and analyzed by a Sobol sensitivity analysis method with 20 parts in the rough structure model as input.
In the Sobol sensitivity analysis method, a user only needs to take thickness information of a plurality of analyzed parts as input, and through black box analysis, a medium influence index and a global influence index of each part can be obtained, wherein the medium influence index represents the influence of an independent variable, the global influence index represents the influence of the independent variable relative to the whole, and the larger the medium influence index is, the larger the global influence index is. The sensitivity of the component may be expressed by a single influence index or a global influence index.
Step S404, determining one or more parts of the rough structure model with the sensitivity higher than a first threshold value as one or more first sensitivity parts.
As an example, the output yields the sensitivity of 20 parts in the coarse structure model, taking 20 parts in the coarse structure model as input. The first threshold value represents a threshold value of sensitivity for distinguishing between a high-sensitivity component and a low-sensitivity component. Since the component lower than the first threshold value has a smaller influence on the performance than the whole component when the component is optimized, the component lower than the first threshold value is eliminated, and the component higher than the first threshold value is used as the first sensitive component.
Step S103, fine structure model building step: a fine structure model is established based on the one or more first sensitivity components.
In some embodiments, an external view of the built fine structure model is shown in FIG. 5 and an internal view of the built fine structure model is shown in FIG. 6.
Step S104, a second sensitivity analysis step: and performing sensitivity analysis on the fine structure model based on a second sensitivity analysis method to determine one or more second sensitivity parts.
The second sensitivity analysis method includes a Sobol analysis method, a Morris method, an EFAST method, a GSE method, or a USM method.
In some embodiments, step S103 may be performed by the steps shown in fig. 7, where fig. 7 is a schematic diagram for determining one or more second sensitivity components provided in the embodiments of the present application, and includes steps S701 to S704, and some descriptions may refer to fig. 7 and its related description, which are not repeated herein.
S701, carrying out NVH and mechanical performance analysis on the fine structure model to obtain a second performance analysis result;
the second performance analysis result represents the analysis result of the coarse structure model in the NVH and mechanical performance analysis.
S702, determining a second performance analysis target with the largest influence on the automobile working condition from NVH and mechanical performance analysis based on a second performance analysis result;
and the second performance analysis target represents the performance analysis target which has the largest influence on the working condition of the automobile, namely is closest to the standard requirement when the structure of the power battery pack is optimized.
Step S703, analyzing a second performance analysis target of the fine structure model based on a second sensitivity analysis method to determine the sensitivity of one or more parts of the fine structure model;
step S704, the parts of the fine structure model whose sensitivity is higher than the second threshold are determined as one or more second sensitivity parts.
Step S105, an optimization step: one or more second sensitivity components are structurally optimized.
In some embodiments, DOE design experiments may be performed to determine structural parameters of one or more second sensitive components based on the fine structure model.
The DOE test design is a relatively mature optimization design method, an optimal Latin hypercube test design method is adopted, the number of test design samples is set to be at least larger than 100, namely, a thickness dimension combined sample scheme of at least 100 optimized parts is needed, the influence of the thickness dimension change of the parts of the fine structure model on the NVH and the mechanical performance of the power battery pack is researched through the DOE analysis result, and analysis charts and result data (such as linear correlation curves and sensitivity charts of design variables) related to sensitivity can be automatically generated for subsequent judgment and analysis after the analysis. By way of example, design variables, design constraints, and design goals are determined by DOE trial design. The design variable is that the upper shell can thicken 1mm at most, can attenuate 3mm at least, the shell can thicken 1.5mm at most down, can attenuate 1mm at least, the lug can thicken 1.5mm at most, can attenuate 1mm at least, the horizontal installing support of battery module can thicken 1mm at most, can attenuate 1.5mm at least. The design constraint is that the maximum stress result of the structure under the mechanical impact analysis working condition does not exceed the standard required value. The design goal is to minimize the total mass of the power cell pack. Finally, the optimized thickness dimensions of 4 parts meeting the requirements of the power battery pack on the lightest weight, NVH (noise vibration harshness) and mechanical performance meeting the evaluation standard are determined as that the upper shell is reduced by 2.5mm, the lower shell is increased by 0.5mm, the lifting lug is increased by 0.5mm, and the transverse mounting bracket of the battery module is reduced by 1mm.
In some embodiments, after the optimizing step, a checking step is further included to check the optimization result. Fig. 8 is a schematic diagram of a checking step provided in an embodiment of the present application, where the checking step includes steps S801 to S804:
step S801, adjusting a fine structure model according to the structure parameters of one or more second sensitivity parts;
and substituting the optimized structural parameters of the second sensitivity part into the fine structure model to determine whether the optimized structural parameters meet the performance requirements.
And S802, carrying out NVH and mechanical performance analysis on the adjusted fine structure model, finishing structure optimization if the performance analysis result meets the requirement, adding part of parts in the coarse structure model into the fine structure model if the performance analysis result does not meet the requirement, and then carrying out a second sensitivity analysis step, an optimization step and a check step again based on the added fine structure model.
And carrying out NVH and mechanical performance analysis on the adjusted fine structure model, and if the performance analysis result meets the requirement, completing structure optimization.
And if the performance analysis result does not meet the requirements, indicating that the performance of the optimized parts does not meet the requirements, adding part of the parts in the rough structure model into the fine structure model, and then performing the second sensitivity analysis step, the optimization step and the checking step again based on the added fine structure model.
Based on the same inventive concept, an embodiment of the present application provides an electronic device, as shown in fig. 9, including: a processor 91 and a memory 92 for storing instructions executable by the processor 91; wherein the processor 91 is configured to execute to implement an automotive power battery pack structure optimization method as provided in the foregoing, the method comprising: a rough structure model establishing step: establishing a rough structure model based on parts of the automobile power battery pack; a first sensitivity analysis step: performing sensitivity analysis on the rough structure model based on a first sensitivity analysis method to determine one or more first sensitivity parts; establishing a fine structure model: establishing a fine structure model based on one or more first sensitivity parts; a second sensitivity analysis step: performing sensitivity analysis on the fine structure model based on a second sensitivity analysis method to determine one or more second sensitivity parts; and (3) optimizing: one or more second sensitivity components are structurally optimized.
Based on the same inventive concept, the present embodiment provides a non-transitory computer-readable storage medium, which when instructions in the storage medium are executed by the processor 91 of the electronic device, enables the electronic device to perform a display method that implements a restocking list as provided above.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.
Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, certain features, structures, or characteristics may be combined as suitable in one or more embodiments of the specification.
Additionally, the order in which the elements and sequences are processed, the use of alphanumeric characters, or the use of other designations in this specification is not intended to limit the order of the processes and methods in this specification, unless otherwise specified in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Where numerals describing the number of components, attributes or the like are used in some embodiments, it is to be understood that such numerals used in the description of the embodiments are modified in some instances by the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number is allowed to vary by ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit-preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into the specification. Except where the application history document is inconsistent or contrary to the present specification, and except where the application history document is inconsistent or contrary to the present specification, the application history document is not inconsistent or contrary to the present specification, but is to be read in the broadest scope of the present claims (either currently or hereafter added to the present specification). It is to be understood that the descriptions, definitions and/or use of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the content of this specification.
Finally, it should be understood that the examples in this specification are only intended to illustrate the principles of the examples in this specification. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those explicitly described and depicted herein.
Claims (8)
1. A method for optimizing the structure of an automobile power battery pack is characterized by comprising the following steps:
establishing a rough structure model based on parts of the automobile power battery pack;
performing sensitivity analysis on the rough structure model based on a sensitivity analysis method to determine a plurality of first sensitivity parts;
establishing a fine structure model based on a plurality of first sensitivity parts;
performing sensitivity analysis on the fine structure model based on a sensitivity analysis method, and determining a plurality of second sensitivity parts;
carrying out structural optimization on a plurality of second sensitivity parts;
the sensitivity analysis method for the rough structure model comprises the following steps of:
NVH and mechanical performance analysis is carried out on the rough structure model to obtain a first performance analysis result;
determining a first performance analysis mode which has the largest influence on the working condition of the automobile from NVH and mechanical performance analysis based on the first performance analysis result;
determining first sensitivity of parts of the rough structure model based on a first performance analysis mode, the rough structure model and a sensitivity analysis method;
determining a plurality of first sensitivity components having a sensitivity above a first threshold based on the first sensitivity;
the sensitivity analysis method for the fine structure model based on the sensitivity analysis method to determine a plurality of second sensitivity parts comprises the following steps:
NVH and mechanical performance analysis is carried out on the fine structure model to obtain a second performance analysis result;
determining a second performance analysis mode which has the largest influence on the working condition of the automobile from NVH and mechanical performance analysis based on a second performance analysis result;
determining a second sensitivity of the part of the fine structure model based on a second performance analysis mode, the fine structure model and the sensitivity analysis method;
a plurality of second sensitivity components are determined having a sensitivity above a second threshold based on the second sensitivity.
2. The method for optimizing the structure of the vehicle power battery pack according to claim 1, wherein the step of establishing a rough structure model based on the parts of the vehicle power battery pack comprises the following steps:
the grid size of the rough structure model is increased, the number of non-optimized parts is reduced, and the battery module is changed into a counterweight unit.
3. The method for optimizing the structure of the power battery pack of the vehicle according to claim 1, wherein the optimizing the structure of the plurality of second sensitive components comprises: and carrying out DOE (design of experiments) test design based on the fine structure model, and determining the structural parameters of the plurality of second sensitivity parts.
4. The method for optimizing a vehicle power pack structure according to claim 3, further comprising, after the determining parameters of the plurality of second sensitivity components:
adjusting the fine structure model according to the structural parameters of the plurality of second sensitivity parts;
and carrying out NVH and mechanical performance analysis on the adjusted fine structure model, finishing structure optimization if the performance analysis result meets the requirement, adding part of parts in the coarse structure model into the fine structure model if the performance analysis result does not meet the requirement, and re-determining a plurality of second sensitivity parts based on the added fine structure model.
5. The method for optimizing the structure of an automotive power battery pack according to claim 1, wherein the NVH and mechanical property analysis includes a modal analysis, a static strength analysis, a stiffness analysis, a crush analysis, a drop analysis, a mechanical impact analysis, a collision analysis, and a floor ball impact analysis.
6. The method for optimizing the pack structure of automotive power batteries according to any one of claims 1 to 4, characterized in that the sensitivity analysis method comprises a Sobol analysis method, a Morris method, an EFAST method, a GSE method and a USM method.
7. An electronic device, comprising: a memory; a processor; and a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method according to any one of claims 1 to 6.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out steps corresponding to the method according to any one of claims 1 to 6.
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