Method for determining parameters of new energy battery box body of intelligent networked automobile and related device
By acquiring the requirements and environmental information of the battery enclosure, determining the material and structural information, and combining it with a defect detection model, the problem of low efficiency in determining battery enclosure parameters was solved, and efficient and accurate battery enclosure design was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-14
- Publication Date
- 2026-04-14
AI Technical Summary
In existing technologies, the determination of battery housing parameters is inefficient, mainly relying on manual design, which leads to insufficient efficiency.
By acquiring information on the requirements and usage environment of the battery housing, the material and structural information are determined, thereby quickly determining the battery housing parameters, and then optimizing the parameters by combining them with a defect detection model.
This achieves high efficiency and accuracy in determining battery box parameters, and improves the level of automation in battery box design.
Smart Images
Figure CN121859451A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of data processing technology, specifically to a method and related apparatus for determining the parameters of a new energy battery box for intelligent connected vehicles. Background Technology
[0002] In recent years, my country has made significant progress in battery box manufacturing technology, with some leading companies mastering key processes such as laser welding and friction stir welding, and the gap in welding quality with foreign companies is narrowing. However, the determination of box parameters is usually done manually, resulting in low efficiency in this process. Summary of the Invention
[0003] This application provides a method and related apparatus for determining the parameters of a new energy battery box for intelligent connected vehicles. It can quickly determine the battery box parameters based on demand information and usage environment information, thereby improving the efficiency of battery box parameter determination.
[0004] A first aspect of this application provides a method for determining parameters of a new energy battery box for intelligent connected vehicles, the method comprising: Obtain the required information for the battery enclosure; Extract the usage environment information of the battery box from the aforementioned demand information; Based on the usage environment information, determine the material information of the battery box; The structural information of the battery housing is determined based on the aforementioned requirements information; The battery housing parameters are determined based on the architecture information and the material information.
[0005] In one possible implementation, determining the material information of the battery housing based on the usage environment information includes: The usage environment level information is determined based on the aforementioned usage environment information; Material information is determined based on the environmental level information.
[0006] In one possible implementation, the method further includes: Obtain a first image of the battery housing constructed based on the battery housing parameters; Extract the battery box from the first image to obtain the first sub-image; The first sub-image is used to perform defect detection on the battery box to obtain the defect detection result.
[0007] In one possible implementation, the step of using the first sub-image to perform defect detection on the battery box to obtain defect detection results includes: Feature extraction is performed on the first sub-image to obtain the first feature image; The first feature image is denoised to obtain the second feature image; The second feature image is input into a preset defect detection model for defect detection to obtain the defect detection result.
[0008] A second aspect of this application provides a device for determining parameters of a new energy battery box for intelligent connected vehicles, the device comprising: The acquisition unit is used to acquire the battery box's requirement information. The extraction unit is used to extract the usage environment information of the battery box from the demand information; The determining unit is configured to determine the material information of the battery housing based on the usage environment information; determine the structural information of the battery housing based on the requirement information; and determine the battery housing parameters based on the structural information and the material information.
[0009] In one possible implementation, the determining unit is specifically used for determining the material information of the battery housing based on the usage environment information: The usage environment level information is determined based on the aforementioned usage environment information; Material information is determined based on the environmental level information.
[0010] In one possible implementation, the device is further used for: Obtain a first image of the battery housing constructed based on the battery housing parameters; Extract the battery box from the first image to obtain the first sub-image; The first sub-image is used to perform defect detection on the battery box to obtain the defect detection result.
[0011] In one possible implementation, in terms of performing defect detection on the battery housing using the first sub-image to obtain a defect detection result, the apparatus is further configured to: Feature extraction is performed on the first sub-image to obtain the first feature image; The first feature image is denoised to obtain the second feature image; The second feature image is input into a preset defect detection model for defect detection to obtain the defect detection result.
[0012] A third aspect of this application provides a terminal including a processor, an input device, an output device, and a memory, wherein the processor, input device, output device, and memory are interconnected, wherein the memory is used to store a computer program, the computer program including program instructions, and the processor is configured to invoke the program instructions to execute the step instructions as described in the first aspect of this application.
[0013] A fourth aspect of this application provides a computer-readable storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to perform some or all of the steps described in the first aspect of this application.
[0014] A fifth aspect of this application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in the first aspect of this application. The computer program product may be a software installation package.
[0015] Implementing the embodiments of this application has at least the following beneficial effects: By acquiring the battery box's requirement information, extracting the battery box's usage environment information from the requirement information, determining the battery box's material information based on the usage environment information, determining the battery box's architecture information based on the requirement information, and determining the battery box's parameters based on the architecture information and the material information, the battery box's parameters can be quickly determined based on the requirement information and usage environment information, thus improving the efficiency of determining battery box parameters. Attached Figure Description
[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0017] Figure 1 This application provides a flowchart illustrating a method for determining the parameters of a new energy battery box for intelligent connected vehicles. Figure 2 This is a schematic diagram of the structure of a terminal provided in an embodiment of this application; Figure 3 This application provides a schematic diagram of the structure of a device for determining the parameters of a new energy battery box for intelligent connected vehicles. Detailed Implementation
[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0019] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.
[0020] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application can be combined with other embodiments.
[0021] Please see Figure 1 , Figure 1 This application provides a flowchart illustrating a method for determining the parameters of a new energy battery box for intelligent connected vehicles. For example... Figure 1 As shown, the method includes: 101. Obtain the requirements for the battery box.
[0022] Among these, the battery box requirement information can be obtained through user input.
[0023] 102. Extract the usage environment information of the battery box from the aforementioned demand information.
[0024] The requirements information includes usage environment information; therefore, usage environment information can be extracted from the requirements information.
[0025] 103. Determine the material information of the battery box based on the usage environment information.
[0026] Specifically, a method for determining the material information of the battery casing based on the usage environment information includes: determining usage environment level information based on the usage environment information; and determining material information based on the usage environment level information.
[0027] Different usage environment information has corresponding usage environment level information, which can be used to determine the usage environment level information. The material information corresponding to the usage environment level information can be determined by looking up a table.
[0028] 104. Determine the structural information of the battery box based on the aforementioned requirements information.
[0029] The architecture requirements information can be extracted from the requirements information, and then the architecture requirements information can be used as the architecture information of the battery box.
[0030] 105. Determine the battery housing parameters based on the architecture information and the material information.
[0031] The architecture information and the material information can be used to determine the battery housing parameters.
[0032] In this example, by obtaining the requirement information of the battery box, extracting the usage environment information of the battery box from the requirement information, determining the material information of the battery box based on the usage environment information, determining the structure information of the battery box based on the requirement information, and determining the battery box parameters based on the structure information and the material information, the battery box parameters can be quickly determined based on the requirement information and the usage environment information, thus improving the efficiency of determining the battery box parameters.
[0033] In one possible implementation, the method further includes: A first image of the battery box constructed according to the battery box parameters is obtained; the battery box is extracted from the first image to obtain a first sub-image; the first sub-image is used to perform defect detection on the battery box to obtain defect detection results.
[0034] The process involves capturing an image of the battery box using a camera device to obtain a first image. A contour extraction method is then used to extract the contour, followed by target recognition to obtain the corresponding contour of the battery box. This contour image is then processed to obtain a first sub-image. This first sub-image can then be input into a preset defect detection model for defect detection to obtain the defect detection results.
[0035] In one possible implementation, the step of using the first sub-image to perform defect detection on the battery box to obtain defect detection results includes: Feature extraction is performed on the first sub-image to obtain the first feature image; The first feature image is denoised to obtain the second feature image; The second feature image is input into a preset defect detection model for defect detection to obtain the defect detection result.
[0036] The first sub-image can be processed using general feature extraction and denoising methods to obtain the second feature image. The preset defect detection model is a pre-trained model for defect detection, such as a convolutional neural network model.
[0037] For examples consistent with the above embodiments, please refer to... Figure 2 , Figure 2 A schematic diagram of a terminal structure provided in an embodiment of this application is shown in the figure. It includes a processor, an input device, an output device, and a memory. The processor, input device, output device, and memory are interconnected. The memory is used to store a computer program, which includes program instructions. The processor is configured to call the program instructions. The program includes instructions for performing the following steps. Obtain the required information for the battery enclosure; Extract the usage environment information of the battery box from the aforementioned demand information; Based on the usage environment information, determine the material information of the battery box; The structural information of the battery housing is determined based on the aforementioned requirements information; The battery housing parameters are determined based on the architecture information and the material information.
[0038] The above mainly describes the solutions of the embodiments of this application from the perspective of the method execution process. It is understood that, in order to achieve the above functions, the terminal includes the corresponding hardware structure and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments provided herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0039] This application embodiment can divide the terminal into functional units according to the above method example. For example, each function can be divided into a separate functional unit, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit. It should be noted that the unit division in this application embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.
[0040] For those consistent with the above, please refer to Figure 3 , Figure 3This application provides a schematic diagram of a device for determining the parameters of a new energy battery box for intelligent connected vehicles. (See attached diagram.) Figure 3 As shown, the device includes: Acquisition unit 301 is used to acquire the battery box's requirement information; Extraction unit 302 is used to extract the usage environment information of the battery box from the demand information; The determining unit 303 is used to determine the material information of the battery box based on the usage environment information; determine the structure information of the battery box based on the requirement information; and determine the battery box parameters based on the structure information and the material information.
[0041] In one possible implementation, regarding determining the material information of the battery housing based on the usage environment information, the determining unit 303 is specifically used for: The usage environment level information is determined based on the aforementioned usage environment information; Material information is determined based on the environmental level information.
[0042] In one possible implementation, the device is further used for: Obtain a first image of the battery housing constructed based on the battery housing parameters; Extract the battery box from the first image to obtain the first sub-image; The first sub-image is used to perform defect detection on the battery box to obtain the defect detection result.
[0043] In one possible implementation, in terms of performing defect detection on the battery housing using the first sub-image to obtain a defect detection result, the apparatus is further configured to: Feature extraction is performed on the first sub-image to obtain the first feature image; The first feature image is denoised to obtain the second feature image; The second feature image is input into a preset defect detection model for defect detection to obtain the defect detection result.
[0044] This application also provides a computer storage medium storing a computer program for electronic data interchange, which causes a computer to perform some or all of the steps of any of the intelligent connected vehicle new energy battery box parameter determination methods described in the above method embodiments.
[0045] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program that causes a computer to perform some or all of the steps of any of the intelligent connected vehicle new energy battery box parameter determination methods described in the above method embodiments.
[0046] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.
[0047] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.
[0048] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.
[0049] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0050] Furthermore, the functional units in the various embodiments of the application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software program module.
[0051] If the integrated unit is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.
[0052] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage device, which may include: a flash drive, a read-only memory, a random access memory, a magnetic disk, or an optical disk, etc.
[0053] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.
Claims
1. A method for determining the parameters of a new energy battery box for intelligent connected vehicles, characterized in that, The method includes: Obtain the required information for the battery enclosure; Extract the usage environment information of the battery box from the aforementioned demand information; Based on the usage environment information, determine the material information of the battery box; The structural information of the battery housing is determined based on the aforementioned requirements information; The battery housing parameters are determined based on the architecture information and the material information.
2. The method for determining the parameters of a new energy battery box for intelligent connected vehicles according to claim 1, characterized in that, Determining the material information of the battery housing based on the usage environment information includes: The usage environment level information is determined based on the aforementioned usage environment information; Material information is determined based on the environmental level information.
3. The method for determining the parameters of a new energy battery box for intelligent connected vehicles according to claim 2, characterized in that, The method further includes: Obtain a first image of the battery housing constructed based on the battery housing parameters; Extract the battery box from the first image to obtain the first sub-image; The first sub-image is used to perform defect detection on the battery box to obtain the defect detection result.
4. The method for determining the parameters of a new energy battery box for intelligent connected vehicles according to claim 3, characterized in that, The step of using the first sub-image to perform defect detection on the battery box and obtaining defect detection results includes: Feature extraction is performed on the first sub-image to obtain the first feature image; The first feature image is denoised to obtain the second feature image; The second feature image is input into a preset defect detection model for defect detection to obtain the defect detection result.
5. A device for determining the parameters of a new energy battery box for intelligent connected vehicles, characterized in that, The device includes: The acquisition unit is used to acquire the battery box's requirement information. The extraction unit is used to extract the usage environment information of the battery box from the demand information; The determining unit is configured to determine the material information of the battery housing based on the usage environment information; determine the structural information of the battery housing based on the requirement information; and determine the battery housing parameters based on the structural information and the material information.
6. The intelligent connected vehicle new energy battery box parameter determination device according to claim 5, characterized in that, In determining the material information of the battery housing based on the usage environment information, the determining unit is specifically used for: The usage environment level information is determined based on the aforementioned usage environment information; Material information is determined based on the environmental level information.
7. The intelligent connected vehicle new energy battery box parameter determination device according to claim 6, characterized in that, The device is also used for: Obtain a first image of the battery housing constructed based on the battery housing parameters; Extract the battery box from the first image to obtain the first sub-image; The first sub-image is used to perform defect detection on the battery box to obtain the defect detection result.
8. The intelligent connected vehicle new energy battery box parameter determination device according to claim 7, characterized in that, In terms of using the first sub-image to perform defect detection on the battery box and obtaining defect detection results, the apparatus is further configured to: Feature extraction is performed on the first sub-image to obtain the first feature image; The first feature image is denoised to obtain the second feature image; The second feature image is input into a preset defect detection model for defect detection to obtain the defect detection result.
9. A terminal, characterized in that, The system includes a processor, an input device, an output device, and a memory, which are interconnected. The memory is used to store a computer program, which includes program instructions. The processor is configured to invoke the program instructions to perform the method as described in any one of claims 1-4.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method as described in any one of claims 1-4.