Control Method, Device, Equipment and Storage Medium for Vehicle Body Lightweighting

Abstract

The present invention relates to the technical field of vehicle control, and discloses a control method, device, equipment and storage medium for vehicle body lightweighting. The method includes: obtaining material parameters of a number of components according to vehicle body attribute parameters; performing performance analysis on the material parameters through a target CAE intelligent platform to obtain target thicknesses and target strength parameters of a number of parts; determining target lightweighting parameters according to the target thicknesses and target strength parameters; performing lightweighting treatment on the vehicle body to be lightweighted according to a preset material optimization processing strategy and the target lightweighting parameters; By the above method, performance analysis is carried out on the material parameters of a number of parts based on the target CAE intelligent platform, then target lightweighting parameters are determined according to the target thicknesses and target strength parameters, and finally lightweighting treatment is carried out on the vehicle body according to the preset material optimization processing strategy and the target lightweighting parameters, so as to effectively reduce the weight of the vehicle body on the basis of meeting the thickness and strength performance.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle control, and particularly to a control method, device, equipment and storage medium for vehicle body lightweighting. Background Art

[0002] In recent years, with the continuous development of the vehicle industry and the gradual strengthening of people's environmental awareness, people's requirements for vehicles have become higher and higher. For example, reducing fuel consumption and lowering pollution emissions. To meet the driving experience of users, through big data analysis, it can be known that by lightweighting the vehicle body, the vehicle's overall mass can be reduced through structural design and optimization while ensuring the improvement or non-decrease of vehicle safety, stiffness, NVH and other performance. However, changing the body structure will cause changes in the entire vehicle's framework, and the change in structure will bring about changes in strength performance, resulting in the failure to reduce the body weight while meeting the thickness and strength performance requirements, or the thickness and strength performance of components cannot meet the factory requirements while reducing the body weight.

[0003] The above content is only used to assist in understanding the technical solution of the present invention, and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of the present invention is to provide a control method, device, equipment and storage medium for vehicle body lightweighting, aiming to solve the technical problem that the prior art cannot simultaneously meet the requirements of thickness and strength performance at the time of leaving the factory and effectively reduce the weight of the vehicle body.

[0005] To achieve the above purpose, the present invention provides a control method for vehicle body lightweighting, and the control method for vehicle body lightweighting includes the following steps:

[0006] Obtain the body attribute parameters of the vehicle to be lightweighted, and obtain the material parameters of several components according to the body attribute parameters;

[0007] Perform performance analysis on the material parameters through a target CAE intelligent platform to obtain the target thickness and target strength parameters of the several components;

[0008] Determine the target lightweighting parameters according to the target thickness and the target strength parameters;

[0009] Perform lightweighting treatment on the body of the vehicle to be lightweighted according to a preset material optimization processing strategy and the target lightweighting parameters.

[0010] Optionally, the step of obtaining the body attribute parameters of the vehicle to be lightweighted and obtaining the material parameters of several components according to the body attribute parameters includes:

[0011] Obtain the body attribute parameters and body structure information of the vehicle to be lightweighted;

[0012] Divide the body attribute information according to the body structure information to obtain the attribute information of each body structure;

[0013] Obtain the component information located within each structure;

[0014] Conduct a material analysis on a number of components based on the attribute information and the component information to obtain corresponding material parameters.

[0015] Optionally, the performance analysis of the material parameters by the target CAE intelligent platform to obtain the target thickness and target strength parameters of the several parts includes:

[0016] Conduct a strength performance analysis on the material parameters by the target CAE intelligent platform to obtain the current yield strength and current tensile strength;

[0017] Conduct a durability performance analysis on the material parameters by the target CAE intelligent platform to obtain the current fatigue durability performance value;

[0018] Obtain the thickness range and strength parameter range of several parts based on the current yield strength, the current tensile strength, and the current fatigue durability performance value;

[0019] Obtain the target thickness based on the thickness range and the target strength parameter based on the strength parameter range.

[0020] Optionally, the determination of the target lightweight parameter according to the target thickness and the target strength parameter includes:

[0021] Obtain the thickness influencing factors and strength influencing factors of several parts;

[0022] Screen out the target irrelevant performance parameters from the performance parameters according to the thickness influencing factors and the strength influencing factors;

[0023] Conduct a simulation process on the body of the vehicle to be lightweighted according to the target irrelevant performance parameters to obtain the simulated body weight, simulated thickness, and simulated strength parameters;

[0024] When the simulated body weight is less than the initial weight, the simulated thickness is greater than or equal to the target thickness, and the simulated strength parameters are greater than or equal to the target strength parameters, obtain the target lightweight parameter according to the target irrelevant performance parameters;

[0025] When any of the conditions that the simulated body weight is greater than or equal to the initial weight, the simulated thickness is less than the target thickness, and the simulated strength parameter is less than the target strength parameter is satisfied, obtain the correlation weight between the target irrelevant performance parameter and the body weight;

[0026] Decrease the target irrelevant performance parameter successively according to the correlation weight;

[0027] Perform simulation processing on the body of the vehicle to be lightweighted according to the decreased target irrelevant performance parameter until the obtained body weight is less than the initial weight, the thickness is greater than or equal to the target thickness, and the strength parameter is greater than or equal to the target strength parameter.

[0028] Optionally, the lightweighting process of the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the target lightweighting parameter includes:

[0029] Perform performance analysis on the material parameters of several components through the target CAE intelligent platform to obtain the corresponding forming performance;

[0030] Determine the work hardening strength values of the several parts according to the preset material optimization processing strategy and the forming performance;

[0031] Adjust the target lightweighting parameter according to the work hardening strength value;

[0032] Obtain the production data of the several components, and correct the production data according to the adjusted target lightweighting parameter;

[0033] Perform lightweighting processing on the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the corrected production data.

[0034] Optionally, the lightweighting process of the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the corrected production data includes:

[0035] Obtain the corresponding historical sales trend according to the historical sales data of the vehicle to be lightweighted within a preset time period and the preset time period;

[0036] Predict the vehicle sales demand within a future time period according to the historical sales trend;

[0037] Determine the target material demand according to the vehicle sales demand and the corrected production data;

[0038] Process the material corresponding to the target material demand according to the preset material optimization processing strategy to obtain target lightweight parts;

[0039] Perform lightweighting processing on the body of the vehicle to be lightweighted according to the target lightweight parts.

[0040] Optionally, after performing lightweighting on the body of the vehicle to be lightweighted according to the target lightweight part, the method further includes:

[0041] Obtaining the current weight, current thickness, and current strength parameters of the lightweighted body;

[0042] When the current weight is less than the initial weight, the current thickness is greater than or equal to the target thickness, and the current strength parameter is greater than or equal to the target strength parameter, marking the material corresponding to the target material requirement with a target qualified label;

[0043] Sending the marked material to the target material supplier device, so that the target material supplier device supplies the marked material according to the target material requirement.

[0044] In addition, to achieve the above object, the present invention further provides a control device for vehicle body lightweighting, where the control device for vehicle body lightweighting includes:

[0045] An obtaining module, configured to obtain the body attribute parameters of the vehicle to be lightweighted, and obtain the material parameters of several components according to the body attribute parameters;

[0046] An analysis module, configured to perform performance analysis on the material parameters through a target CAE intelligent platform to obtain the target thickness and target strength parameters of the several components;

[0047] A determination module, configured to determine target lightweight parameters according to the target thickness and the target strength parameters;

[0048] A processing module, configured to perform lightweighting on the body of the vehicle to be lightweighted according to a preset material optimization processing strategy and the target lightweight parameters.

[0049] In addition, to achieve the above object, the present invention further provides a control device for vehicle body lightweighting, where the control device for vehicle body lightweighting includes: a memory, a processor, and a control program for vehicle body lightweighting stored on the memory and executable on the processor, and the control program for vehicle body lightweighting is configured to implement the control method for vehicle body lightweighting as described above.

[0050] In addition, to achieve the above object, the present invention further provides a storage medium, where a control program for vehicle body lightweighting is stored on the storage medium, and when the control program for vehicle body lightweighting is executed by a processor, it implements the control method for vehicle body lightweighting as described above.

[0051] The control method for vehicle body lightweight proposed by the present invention obtains the body attribute parameters of the vehicle to be lightweighted, and obtains the material parameters of several components according to the body attribute parameters; performs performance analysis on the material parameters through the target CAE intelligent platform to obtain the target thickness and target strength parameters of the several components; determines the target lightweight parameters according to the target thickness and the target strength parameters; performs lightweight treatment on the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the target lightweight parameters; in the above manner, based on the target CAE intelligent platform, performance analysis is performed on the material parameters of several components, then the target lightweight parameters are determined according to the target thickness and target strength parameters, and finally lightweight treatment is performed on the body according to the preset material optimization processing strategy and the target lightweight parameters, so as to effectively reduce the weight of the body on the basis of meeting the thickness and strength performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is a schematic structural diagram of the control device for vehicle body lightweight in the hardware operating environment related to the embodiment solution of the present invention;

[0053] Figure 2 is a schematic flowchart of the first embodiment of the control method for vehicle body lightweight of the present invention;

[0054] Figure 3 is a schematic diagram of the yield strength fluctuation range in an embodiment of the control method for vehicle body lightweight of the present invention;

[0055] Figure 4 is a schematic diagram of the yield strength test in an embodiment of the control method for vehicle body lightweight of the present invention;

[0056] Figure 5 is a schematic flowchart of the second embodiment of the control method for vehicle body lightweight of the present invention;

[0057] Figure 6 is a schematic diagram of the functional modules of the first embodiment of the control device for vehicle body lightweight of the present invention.

[0058] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0060] Refer to Figure 1 , Figure 1 is a schematic structural diagram of the control device for vehicle body lightweight in the hardware operating environment related to the embodiment solution of the present invention.

[0061] As Figure 1As shown in the figure, the control device for vehicle body lightweighting may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard. Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed Random Access Memory (RAM) or a stable Non-Volatile Memory (NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0062] Those skilled in the art can understand that Figure 1 the structure shown in the figure does not constitute a limitation on the control device for vehicle body lightweighting, and it may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0063] As Figure 1 shown, the memory 1005, as a storage medium, may include an operating system, a network communication module, a user interface module, and a control program for vehicle body lightweighting.

[0064] In Figure 1 the control device for vehicle body lightweighting shown in the figure, the network interface 1004 is mainly used for data communication with a network integrated platform workstation; the user interface 1003 is mainly used for data interaction with users; the processor 1001 and the memory 1005 in the control device for vehicle body lightweighting of the present invention may be arranged in the control device for vehicle body lightweighting. The control device for vehicle body lightweighting calls the control program for vehicle body lightweighting stored in the memory 1005 through the processor 1001 and executes the control method for vehicle body lightweighting provided by the embodiments of the present invention.

[0065] Based on the above hardware structure, an embodiment of the control method for vehicle body lightweighting of the present invention is proposed.

[0066] Referring to Figure 2 , Figure 2 it is a schematic flowchart of the first embodiment of the control method for vehicle body lightweighting of the present invention.

[0067] In the first embodiment, the method for controlling vehicle body lightweighting includes the following steps:

[0068] Step S10: Obtain the body attribute parameters of the vehicle to be lightweighted, and obtain the material parameters of several components according to the body attribute parameters.

[0069] It should be noted that the execution subject of this embodiment is the control device for vehicle body lightweighting, and it can also be other devices that can achieve the same or similar functions, such as a vehicle controller, etc. This embodiment does not limit this. In this embodiment, the vehicle controller is taken as an example for illustration.

[0070] It should be understood that the body attribute parameters refer to the attribute parameters of the body of the vehicle to be lightweighted. The body attribute parameters include the areas, positions, shapes, colors, and compositions of various structures of the body. The body attribute parameters can be obtained from the design table of the vehicle to be lightweighted.

[0071] It can be understood that the material parameters refer to the parameters of the materials that make up several components. The several components can be at least one of the components within each structure of the body and the components connecting different structures. The connection methods of the components of different structures can be welding, riveting, and other methods. This embodiment does not limit this.

[0072] Further, step S10 includes: obtaining the body attribute parameters and body structure information of the vehicle to be lightweighted; dividing the body attribute information according to the body structure information to obtain the attribute information of each body structure; obtaining the component information located within each structure; and performing material analysis on several components according to the attribute information and the component information to obtain the corresponding material parameters.

[0073] It can be understood that the body structure information refers to the information of each structure that makes up the body. The body structure information includes information such as doors, roof, side panels, and hood. The attribute information refers to the attribute information of each structure of the entire body. For example, door attribute information, roof attribute information, etc. The component information refers to the relevant information of the components within each structure. For example, the quantity, model, and composition of the components. After obtaining the component information, the material parameters of several components are analyzed according to the attribute information and the component information.

[0074] Step S20: Perform performance analysis on the material parameters through the target CAE intelligent platform to obtain the target thickness and target strength parameters of the several parts.

[0075] It can be understood that the target CAE intelligent platform refers to the computer-aided intelligent platform in vehicle engineering design, which aims to use computer-aided analysis to solve the structural mechanics performance of complex engineering and products, and optimize the structural performance, etc. In this embodiment, through the target CAE intelligent platform, the target thickness and target strength parameters of several components corresponding to the material parameters are analyzed. Optionally, the target strength parameters include yield strength, tensile strength, etc.

[0076] Further, step S20 includes: performing strength performance analysis on the material parameters through the target CAE intelligent platform to obtain the current yield strength and current tensile strength; performing durability performance analysis on the material parameters through the target CAE intelligent platform to obtain the current fatigue durability performance value; obtaining the thickness range and strength parameter range of several parts according to the current yield strength, the current tensile strength, and the current fatigue durability performance value; obtaining the target thickness according to the thickness range, and obtaining the target strength parameter according to the strength parameter range.

[0077] It should be understood that the current yield strength refers to the yield limit strength of the component corresponding to the material parameter when the yield phenomenon occurs, the current tensile strength refers to the strength of the component corresponding to the material parameter under static tensile force, and the current fatigue durability performance value refers to the performance of the component corresponding to the material parameter when cracks initiate, propagate, and finally fracture under the action of alternating stress and alternating strain. The current yield strength, the current tensile strength, and the current fatigue durability performance value are all obtained by performing performance analysis on the material parameters through the target CAE intelligent platform. The thickness range refers to the range of qualified thicknesses of several parts when they are assembled into a vehicle body for factory shipment. For example, the thickness range is not less than 1.2 mm. The strength parameter range refers to the range of qualified strengths of several parts when they are assembled into a vehicle body for factory shipment. For example, the target strength parameter is that the yield strength is not less than 165 MPa and the tensile strength is not less than 305 MPa. The target thickness is the minimum value of the thickness range. Similarly, the target strength parameter is the minimum value of the strength parameter range. Refer to Figure 3 , Figure 3 is a schematic diagram of the yield strength fluctuation range, specifically the upper limit value and the lower limit value of the yield strength. Then, different components are tested with different stresses, including part 1, part 2, and part 3, that is, the yield strengths of part 1, part 2, and part 3 are between the upper limit value and the lower limit value of the yield strength.

[0078] Step S30, determining the target lightweight parameter according to the target thickness and the target strength parameter.

[0079] It should be understood that the target lightweight parameter refers to the parameter for optimizing the mass of the vehicle, that is, by adjusting the target lightweight parameter, the mass of the vehicle to be lightweight is significantly reduced on the basis of meeting the thickness and strength performance.

[0080] Further, step S30 includes: obtaining the thickness influencing factors and strength influencing factors of several parts; screening out the target-unrelated performance parameters from the performance parameters according to the thickness influencing factors and the strength influencing factors; performing simulation processing on the body of the vehicle to be lightweight according to the target-unrelated performance parameters to obtain the simulated body weight, simulated thickness, and simulated strength parameters; when the simulated body weight is less than the initial weight, the simulated thickness is greater than or equal to the target thickness, and the simulated strength parameters are greater than or equal to the target strength parameters, obtaining the target lightweight parameter according to the target-unrelated performance parameters; when any one of the conditions that the simulated body weight is greater than or equal to the initial weight, the simulated thickness is less than the target thickness, and the simulated strength parameters are less than the target strength parameters is satisfied, obtaining the correlation weight between the target-unrelated performance parameter and the body weight; sequentially decreasing the target-unrelated performance parameter according to the correlation weight; performing simulation processing on the body of the vehicle to be lightweight according to the decreased target-unrelated performance parameter until the obtained body weight is less than the initial weight, the thickness is greater than or equal to the target thickness, and the strength parameter is greater than or equal to the target strength parameter.

[0081] It can be understood that the thickness influencing factor refers to the factor that affects the thickness of several parts. Similarly, the strength influencing factor refers to the factor that affects the strength of several parts. A large amount of test data shows that the factors causing the changes in the thickness and strength of parts are usually specific. For example, changes in material ratio, changes in material properties, chemical reactions between different materials, etc. The target-unrelated performance parameter refers to the performance parameter that neither affects the thickness nor affects the strength. There are multiple such target-unrelated performance parameters. That is, the mass of the body is reduced through the target-unrelated performance parameter, specifically achieved by performing simulation processing on the body of the vehicle to be lightweight. The initial weight refers to the mass of the body before reduction. In addition, the target strength parameter includes the yield strength. Refer to Figure 4 , Figure 4 as the schematic diagram of the yield strength test. Specifically, the maximum stress of the component is determined to be 164.5 MPa. If the component is tested with a stress of 164.6 MPa, it is considered that the simulated strength parameter is less than the target strength parameter, indicating that there is a risk of plastic deformation of the component. At this time, the requirements for leaving the factory cannot be met, that is, the entire body is unqualified.

[0082] It should be understood that the correlation weight refers to the weight associated with affecting the vehicle body weight. That is, the greater the weight, the higher the degree of influence. At this time, the vehicle body needs to be simulated through target-independent performance parameters in descending order. For example, the target-independent performance parameters are a, b, and c, and the corresponding weights are 1, 3, and 2. First, the vehicle body is simulated through the target-independent performance parameter b, so that the weight of the vehicle body is greatly reduced. Then, the vehicle body is simulated through the target-independent performance parameter c, so that the weight of the vehicle body is moderately reduced. Finally, the vehicle body is simulated through the target-independent performance parameter a, so that the weight of the vehicle body is slightly reduced until the vehicle body weight is less than the initial weight, the thickness is greater than or equal to the target thickness, and the strength parameter is greater than or equal to the target strength parameter.

[0083] Step S40: Perform lightweight processing on the vehicle body of the vehicle to be lightweight according to the preset material optimization processing strategy and the target lightweight parameters.

[0084] It can be understood that the preset material optimization processing strategy refers to the strategy for the manufacturing department to optimize the processing of parts and assemble the vehicle body. That is, the manufacturing department manufactures the corresponding parts through the preset material optimization processing strategy according to the target lightweight parameters, and then assembles the parts into the corresponding vehicle body. At this time, the weight of the vehicle body is much lower than the initial weight. In addition, since the vehicle body involves many parts and materials, data sharing, real-time management, and updating can be carried out through the method of electronic integration.

[0085] Further, after step S40, it further includes: obtaining the current weight, current thickness, and current strength parameter of the lightweight vehicle body; when the current weight is less than the initial weight, the current thickness is greater than or equal to the target thickness, and the current strength parameter is greater than or equal to the target strength parameter, marking the material corresponding to the target material requirement through the target qualified label; sending the marked material to the target material supplier device, so that the target material supplier device supplies the marked material according to the target material requirement.

[0086] It should be understood that when the current weight of the lightweight vehicle body is less than the initial weight, the current thickness is greater than or equal to the target thickness, and the current strength parameter is greater than or equal to the target strength parameter, it indicates that the vehicle body lightweight of this embodiment is feasible, which can not only meet the requirements of thickness and strength, but also significantly reduce the mass of the vehicle body. Therefore, the material corresponding to the target material requirement is marked through the target qualified label, and the marked material is sent to the target material supplier device, so that the supplier supplies the marked material to meet the normal procurement and production requirements.

[0087] In this embodiment, the body attribute parameters of the vehicle to be lightweighted are obtained, and the material parameters of several components are obtained according to the body attribute parameters; the performance analysis of the material parameters is carried out through the target CAE intelligent platform to obtain the target thickness and target strength parameters of the several components; the target lightweight parameters are determined according to the target thickness and the target strength parameters; the body of the vehicle to be lightweighted is lightweighted according to the preset material optimization processing strategy and the target lightweight parameters; in the above manner, the performance analysis of the material parameters of several components is carried out based on the target CAE intelligent platform, then the target lightweight parameters are determined according to the target thickness and target strength parameters, and finally the body is lightweighted according to the preset material optimization processing strategy and the target lightweight parameters, so that it is possible to effectively reduce the weight of the body on the basis of meeting the thickness and strength performance.

[0088] In one embodiment, as Figure 5 described, based on the first embodiment, the second embodiment of the control method for vehicle body lightweighting of the present invention is proposed, and the step S40 includes:

[0089] Step S401, perform performance analysis on the material parameters of several components through the target CAE intelligent platform to obtain the corresponding forming performance.

[0090] It should be understood that the forming performance refers to the performance of forming a material into fixed components. For the components of a vehicle, the higher the forming performance, the faster the forming speed. The forming performance of this material parameter is obtained through analysis by the target CAE intelligent platform.

[0091] Step S402, determine the work-hardening strength value of the several components according to the preset material optimization processing strategy and the forming performance.

[0092] It can be understood that the work-hardening strength value refers to the value after the strength performance of the material changes through work hardening, that is, the strength of several components will be improved by processing through the preset material optimization processing strategy. For example, if the strength of the material parameter is m, and the strength after hardening processing through the preset material optimization processing strategy is n, then the work-hardening strength value of the several components is m + n / m.

[0093] Step S403, adjust the target lightweight parameters according to the work-hardening strength value.

[0094] It should be understood that since the work-hardening strength value will also affect the weight, thickness and performance of the vehicle body, therefore, considering the factor of work hardening, in order to accurately reduce the mass of the vehicle body, it is necessary to adjust the original target lightweight parameters through the work-hardening strength value.

[0095] Step S404: Obtain the production data of the several components, and correct the production data according to the adjusted target lightweight parameters.

[0096] It can be understood that the production data refers to the data for manufacturing the body with the initial weight by the manufacturing department. After determining the need for lightweight quality, it is also necessary to adjust the production data, that is, to correct the production data according to the adjusted target lightweight parameters, so that the weight of the components manufactured by the manufacturing department according to the modified production data will be reduced, thereby causing the weight of the finally assembled body to decrease.

[0097] Step S405: Perform lightweight processing on the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the corrected production data.

[0098] It should be understood that after obtaining the corrected production data, processing is carried out according to the corrected production data through the preset material optimization processing strategy to obtain a new set of components. At this time, the weight of the body composed of the new set of components is much lower than the initial weight, and the strength performance and thickness can meet the factory requirements of the vehicle.

[0099] Further, step S405 includes: obtaining the corresponding historical sales trend according to the historical sales data of the vehicle to be lightweighted within a preset time period and the preset time period; predicting the vehicle sales demand within a future time period according to the historical sales trend; determining the target material demand according to the vehicle sales demand and the corrected production data; processing the material corresponding to the target material demand according to the preset material optimization processing strategy to obtain target lightweight parts; and performing lightweight processing on the body of the vehicle to be lightweighted according to the target lightweight parts.

[0100] It can be understood that the historical sales trend refers to the trend of the sales department selling each vehicle model, which is determined by the historical sales data and the preset time period. For example, the sales volume in May is 7,000 units, the sales volume in June is 6,000 units, and the sales volume in July is 8,000 units. It is predicted that the vehicle sales demand in the next six months (August - September - October - November - December - January - February) is 8,500, 9,000, 10,000, 11,000, 11,500, 8,000, and 7,500. Then the vehicle sales demand is sent to the purchasing department. The purchasing department determines the target material demand according to the vehicle sales demand and the corrected production data, and sends the target material demand to the manufacturing department. The manufacturing department manufactures the corresponding components according to the target lightweight parameters through the preset material optimization processing strategy, and then assembles the components into the corresponding body. At this time, the quality of the body is much lower than the initial weight.

[0101] In this embodiment, the performance analysis of the material parameters of several components is carried out through the target CAE intelligent platform to obtain the corresponding forming performance; the work-hardening strength values of the several components are determined according to the preset material optimization processing strategy and the forming performance; the target lightweight parameters are adjusted according to the work-hardening strength values; the production data of the several components are obtained, and the production data are corrected according to the adjusted target lightweight parameters; the body of the vehicle to be lightweighted is lightweighted according to the preset material optimization processing strategy and the corrected production data; in the above manner, the performance analysis of the material parameters of several components is carried out through the target CAE intelligent platform, then the work-hardening strength value is determined according to the preset material optimization processing strategy and the forming performance, and then the production data is corrected according to the target lightweight parameters, and finally the body is lightweighted according to the preset material optimization processing strategy and the corrected production data, so as to improve the accuracy of reducing the body mass.

[0102] In addition, an embodiment of the present invention further provides a storage medium, on which a control program for vehicle body lightweighting is stored. When the control program for vehicle body lightweighting is executed by a processor, the steps of the control method for vehicle body lightweighting as described above are implemented.

[0103] Since this storage medium adopts all the technical solutions of the above all embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be elaborated herein one by one.

[0104] In addition, with reference to Figure 6 , an embodiment of the present invention further provides a control device for vehicle body lightweighting, and the control device for vehicle body lightweighting includes:

[0105] An acquisition module 10, configured to acquire the body attribute parameters of the vehicle to be lightweighted, and obtain the material parameters of several components according to the body attribute parameters.

[0106] An analysis module 20, configured to perform performance analysis on the material parameters through the target CAE intelligent platform to obtain the target thickness and target strength parameters of the several components.

[0107] A determination module 30, configured to determine the target lightweight parameters according to the target thickness and the target strength parameters.

[0108] A processing module 40, configured to perform lightweight processing on the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the target lightweight parameters.

[0109] In this embodiment, the body attribute parameters of the vehicle to be lightweighted are obtained, and the material parameters of several components are obtained according to the body attribute parameters; the performance analysis of the material parameters is carried out through the target CAE intelligent platform to obtain the target thickness and target strength parameters of the several components; the target lightweight parameters are determined according to the target thickness and the target strength parameters; the body of the vehicle to be lightweighted is lightweighted according to the preset material optimization processing strategy and the target lightweight parameters; in the above manner, the performance analysis of the material parameters of several components is carried out based on the target CAE intelligent platform, then the target lightweight parameters are determined according to the target thickness and target strength parameters, and finally the body is lightweighted according to the preset material optimization processing strategy and the target lightweight parameters, so that the weight of the body can be effectively reduced on the basis of meeting the thickness and strength performance.

[0110] It should be noted that the above-described work flow is only illustrative and does not limit the protection scope of the present invention. In actual applications, those skilled in the art can select some or all of them according to actual needs to achieve the purpose of the solution of this embodiment, and no limitation is made here.

[0111] In addition, for the technical details not described in detail in this embodiment, reference can be made to the body lightweight control method provided in any embodiment of the present invention, which will not be elaborated here.

[0112] In one embodiment, the obtaining module 10 is further configured to obtain the body attribute parameters and body structure information of the vehicle to be lightweighted; divide the body attribute information according to the body structure information to obtain the attribute information of each body structure; obtain the component information located in each structure; and perform material analysis on several components according to the attribute information and the component information to obtain the corresponding material parameters.

[0113] In one embodiment, the analysis module 20 is further configured to perform strength performance analysis on the material parameters through the target CAE intelligent platform to obtain the current yield strength and the current tensile strength; perform durability performance analysis on the material parameters through the target CAE intelligent platform to obtain the current fatigue durability performance value; obtain the thickness range and strength parameter range of several components according to the current yield strength, the current tensile strength, and the current fatigue durability performance value; obtain the target thickness according to the thickness range, and obtain the target strength parameter according to the strength parameter range.

[0114] In one embodiment, the determining module 30 is further configured to obtain the thickness influencing factors and strength influencing factors of several parts; screen out target irrelevant performance parameters from the performance parameters according to the thickness influencing factors and the strength influencing factors; perform simulation processing on the body of the vehicle to be lightweighted according to the target irrelevant performance parameters to obtain the simulated body weight, simulated thickness, and simulated strength parameters; when the simulated body weight is less than the initial weight, the simulated thickness is greater than or equal to the target thickness, and the simulated strength parameters are greater than or equal to the target strength parameters, obtain target lightweight parameters according to the target irrelevant performance parameters; when any one of the conditions that the simulated body weight is greater than or equal to the initial weight, the simulated thickness is less than the target thickness, and the simulated strength parameters are less than the target strength parameters is satisfied, obtain the correlation weight between the target irrelevant performance parameters and the body weight; sequentially decrease the target irrelevant performance parameters according to the correlation weight; perform simulation processing on the body of the vehicle to be lightweighted according to the decreased target irrelevant performance parameters until the obtained body weight is less than the initial weight, the thickness is greater than or equal to the target thickness, and the strength parameters are greater than or equal to the target strength parameters.

[0115] In one embodiment, the processing module 40 is further configured to perform performance analysis on the material parameters of several components through a target CAE intelligent platform to obtain corresponding forming performance; determine the work hardening strength values of the several parts according to a preset material optimization processing strategy and the forming performance; adjust the target lightweight parameters according to the work hardening strength values; obtain the production data of the several components, and correct the production data according to the adjusted target lightweight parameters; perform lightweight processing on the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the corrected production data.

[0116] In one embodiment, the processing module 40 is further configured to obtain a corresponding historical sales trend according to the historical sales data of the vehicle to be lightweighted within a preset time period and the preset time period; predict the vehicle sales demand within a future time period according to the historical sales trend; determine the target material demand according to the vehicle sales demand and the corrected production data; process the material corresponding to the target material demand according to the preset material optimization processing strategy to obtain target lightweight parts; perform lightweight processing on the body of the vehicle to be lightweighted according to the target lightweight parts.

[0117] In one embodiment, the computing module 40 is further configured to obtain the current weight, current thickness, and current strength parameters of the lightweight vehicle body; when the current weight is less than the initial weight, the current thickness is greater than or equal to the target thickness, and the current strength parameter is greater than or equal to the target strength parameter, mark the material corresponding to the target material requirement with a target qualified label; and send the marked material to the target material supplier device, so that the target material supplier device supplies the marked material according to the target material requirement.

[0118] For other embodiments or implementation methods of the vehicle body lightweight control device of the present invention, reference may be made to the above method embodiments, and details are not repeated here.

[0119] In addition, it should be noted that in this article, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or system including that element.

[0120] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0121] Through the description of the above embodiments, those skilled in the art can clearly understand that the above method embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a read-only memory (ROM) / RAM, magnetic disk, optical disk), and includes several instructions for causing a terminal device (which may be a mobile phone, a computer, an integrated platform workstation, or a network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0122] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present invention, or directly or indirectly applied to other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A control method for vehicle body lightweighting, characterized in that, Including the following steps: Obtain the body attribute parameters of the vehicle to be lightweighted, and obtain the material parameters of several components according to the body attribute parameters; Perform performance analysis on the material parameters through the target CAE intelligent platform to obtain the target thickness and target strength parameters of the several components; Determine the target lightweight parameters according to the target thickness and the target strength parameters; Perform lightweight treatment on the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the target lightweight parameters; The obtaining of the body attribute parameters of the vehicle to be lightweighted and obtaining the material parameters of several components according to the body attribute parameters includes: Obtain the body attribute parameters and body structure information of the vehicle to be lightweighted; Divide the body attribute information according to the body structure information to obtain the attribute information of each body structure; Obtain the component information located in each body structure; Perform material analysis on several components according to the attribute information and the component information to obtain the corresponding material parameters; The performing of lightweight treatment on the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the target lightweight parameters includes: Determine the corrected production data according to the target lightweight parameters; Obtain the corresponding historical sales trend according to the historical sales data of the vehicle to be lightweighted within a preset time period and the preset time period; Predict the vehicle sales demand within a future time period according to the historical sales trend; Determine the target material demand according to the vehicle sales demand and the corrected production data; Process the material corresponding to the target material demand according to the preset material optimization processing strategy to obtain target lightweight components; Perform lightweight treatment on the body of the vehicle to be lightweighted according to the target lightweight components.

2. The control method for vehicle body lightweight as claimed in claim 1, wherein, The performing of performance analysis on the material parameters through the target CAE intelligent platform to obtain the target thickness and target strength parameters of the several components includes: Perform strength performance analysis on the material parameters through the target CAE intelligent platform to obtain the current yield strength and the current tensile strength; Perform durability performance analysis on the material parameters through the target CAE intelligent platform to obtain the current fatigue durability performance value; Obtain the thickness range and strength parameter range of several components according to the current yield strength, the current tensile strength, and the current fatigue durability performance value; Obtain the target thickness according to the thickness range, and obtain the target strength parameters according to the strength parameter range.

3. The control method for vehicle body lightweight according to claim 1, characterized in that, The determining of the target lightweight parameters according to the target thickness and the target strength parameters includes: Obtain the thickness influencing factors and strength influencing factors of several components; Screen out the target irrelevant performance parameters in the performance parameters according to the thickness influencing factors and the strength influencing factors; Perform simulation processing on the body of the vehicle to be lightweighted according to the target irrelevant performance parameters to obtain the simulated body weight, simulated thickness, and simulated strength parameters; When the simulated vehicle body weight is less than the initial weight, the simulated thickness is greater than or equal to the target thickness, and the simulated strength parameter is greater than or equal to the target strength parameter, obtain the target lightweight parameter according to the target irrelevant performance parameter; When any one of the conditions that the simulated vehicle body weight is greater than or equal to the initial weight, the simulated thickness is less than the target thickness, and the simulated strength parameter is less than the target strength parameter is satisfied, obtain the correlation weight between the target irrelevant performance parameter and the vehicle body weight; Successively decrement the target irrelevant performance parameter according to the correlation weight; Perform simulation processing on the body of the vehicle to be lightweighted according to the decremented target irrelevant performance parameter until the vehicle body weight obtained after processing is less than the initial weight, the thickness is greater than or equal to the target thickness, and the strength parameter is greater than or equal to the target strength parameter.

4. The control method for vehicle body lightweight according to claim 1, characterized in that The determining the corrected production data according to the target lightweight parameter includes: Perform performance analysis on the material parameters of several components through the target CAE intelligent platform to obtain the corresponding forming performance; Determine the work hardening strength values of the several parts according to the preset material optimization processing strategy and the forming performance; Adjust the target lightweight parameter according to the work hardening strength value; Obtain the production data of the several components, and correct the production data according to the adjusted target lightweight parameter; Perform lightweight processing on the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the corrected production data.

5. The control method for vehicle body lightweight according to claim 1, characterized in that After performing lightweight processing on the body of the vehicle to be lightweighted according to the target lightweight parts, it further includes: Obtain the current weight, current thickness, and current strength parameter of the lightweighted vehicle body; When the current weight is less than the initial weight, the current thickness is greater than or equal to the target thickness, and the current strength parameter is greater than or equal to the target strength parameter, mark the material corresponding to the target material requirement through the target qualified label; Send the marked material to the target material supplier device so that the target material supplier device supplies the marked material according to the target material requirement.

6. A control device for vehicle body lightweighting, characterized in that, It includes: An acquisition module, configured to acquire the body attribute parameters of the vehicle to be lightweighted, and obtain the material parameters of several components according to the body attribute parameters; An analysis module, configured to perform performance analysis on the material parameters through the target CAE intelligent platform to obtain the target thickness and target strength parameters of the several parts; A determination module, configured to determine the target lightweight parameter according to the target thickness and the target strength parameter; A processing module, configured to perform lightweight processing on the body of the vehicle to be lightweighted according to the preset material optimization processing strategy and the target lightweight parameter; The acquisition module is further configured to acquire the body attribute parameters and body structure information of the vehicle to be lightweighted; divide the body attribute information according to the body structure information to obtain the attribute information of each body structure; acquire the component information located in each body structure; perform material analysis on several components according to the attribute information and the component information to obtain the corresponding material parameters; The processing module is further configured to determine the corrected production data according to the target lightweight parameter; obtain the corresponding historical sales trend according to the historical sales data of the vehicle to be lightweighted within a preset time period and the preset time period; predict the vehicle sales demand within a future time period according to the historical sales trend; determine the target material demand according to the vehicle sales demand and the corrected production data; process the material corresponding to the target material demand according to the preset material optimization processing strategy to obtain the target lightweight part; and perform lightweight processing on the body of the vehicle to be lightweighted according to the target lightweight part.

7. A control device for vehicle body lightweighting, characterized in that, The control device for vehicle body lightweighting includes: a memory, a processor, and a control program for vehicle body lightweighting stored on the memory and executable on the processor, and the control program for vehicle body lightweighting is configured to implement the control method for vehicle body lightweighting according to any one of claims 1 to 5.

8. A storage medium, characterized in that, A control program for vehicle body lightweighting is stored on the storage medium, and when the control program for vehicle body lightweighting is executed by a processor, it implements the control method for vehicle body lightweighting according to any one of claims 1 to 5.

Images