Corrosion simulation model training method, vehicle aging corrosion test method, equipment and medium

Abstract

The invention discloses a corrosion simulation model training method, a vehicle aging corrosion test method, equipment and a medium. The method comprises the following steps: acquiring test corrosion strength of a test vehicle in a corrosion test environment; acquiring corrosion environment parameters and vehicle material parameters; performing a simulation test on the corrosion environment parameters and the vehicle material parameters by adopting the original corrosion simulation model to obtain simulated corrosion strength; obtaining a model evaluation result according to the test corrosion strength and the simulation corrosion strength; if the model evaluation result is that the preset condition is not met, updating the model parameters of the original corrosion simulation model, and repeatedly executing the simulation test on the corrosion environment parameters and the vehicle material parameters by adopting the original corrosion simulation model to obtain the simulation corrosion strength; and if the model evaluation result is that the preset condition is met, determining the original corrosion simulation model as a target corrosion simulation model. According to the technical scheme, the simulated corrosion strength is obtained from the two dimensions of the corrosion environment and the vehicle material, so that the accuracy of the simulated corrosion strength is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle detection, and in particular to a corrosion simulation model training, a vehicle aging corrosion test method, equipment and medium. Background Art

[0002] At present, the anti-corrosion reliability of the vehicle is mainly verified according to the industry standard QC / T 732 passenger car enhanced corrosion test method. The method first conducts multiple cycle tests on the vehicle. Each cycle test requires driving on gravel roads, sandy roads and other roads, then parking at high temperature and high humidity, and finally parking naturally after salt spraying. The total number of cycles of the cycle test is selected according to the product design corrosion intensity and design life. Therefore, the above test method has a long cycle and high cost, which affects the vehicle development cycle and development cost.

[0003] In order to solve the above problems, a corrosion simulation model of the whole vehicle corrosion test is established to reduce the test cycle. However, the existing corrosion simulation model only considers the influence of environmental factors on the corrosion intensity, which leads to inaccurate simulation results of the corrosion simulation model. Summary of the invention

[0004] The embodiments of the present invention provide a corrosion simulation model training, a vehicle aging corrosion test method, a device and a medium to solve the problem of poor accuracy of the existing corrosion simulation model.

[0005] A corrosion simulation model training method, comprising:

[0006] Obtain the test corrosion intensity of the test vehicle in the corrosion test environment;

[0007] Acquiring corrosion environment parameters corresponding to the corrosion test environment and vehicle material parameters corresponding to the test vehicle;

[0008] Using the original corrosion simulation model to perform simulation tests on the corrosion environment parameters and the vehicle material parameters to obtain simulated corrosion intensity;

[0009] Obtaining a model evaluation result according to the test corrosion intensity and the simulated corrosion intensity;

[0010] If the model evaluation result is that the preset conditions are not met, the model parameters of the original corrosion simulation model are updated, and the simulation test of the corrosion environment parameters and the vehicle material parameters using the original corrosion simulation model is repeatedly performed to obtain the simulated corrosion intensity;

[0011] If the model evaluation result satisfies the preset conditions, the original corrosion simulation model is determined as the target corrosion simulation model.

[0012] Further, obtaining a model evaluation result according to the test corrosion intensity and the simulated corrosion intensity includes:

[0013] Determining an absolute value of a corrosion intensity difference according to the test corrosion intensity and the simulated corrosion intensity;

[0014] If the absolute value of the corrosion intensity difference is greater than a preset threshold, determining that the model evaluation result does not meet the preset condition;

[0015] If the absolute value of the corrosion intensity difference is not greater than a preset threshold, it is determined that the model evaluation result meets the preset condition.

[0016] Further, the test corrosion intensity includes a regional test corrosion intensity corresponding to at least one vehicle body region; the simulation corrosion intensity includes a regional simulation corrosion intensity corresponding to at least one vehicle body region;

[0017] The obtaining of the model evaluation result according to the test corrosion intensity and the simulated corrosion intensity includes: obtaining the model evaluation result according to the regional test corrosion intensity corresponding to at least one vehicle body area and the regional simulated corrosion intensity corresponding to at least one vehicle body area.

[0018] Further, the obtaining of the model evaluation result according to the regional test corrosion intensity corresponding to at least one vehicle body region and the regional simulation corrosion intensity corresponding to at least one vehicle body region includes:

[0019] According to the regional test corrosion intensity and the regional simulation corrosion intensity corresponding to the same vehicle body area, obtaining a regional assessment result corresponding to the vehicle body area;

[0020] If there is at least one area evaluation result corresponding to the vehicle body area that does not meet the preset condition, determining that the model evaluation result does not meet the preset condition;

[0021] If the area evaluation results corresponding to all the vehicle body areas satisfy the preset conditions, it is determined that the model evaluation result satisfies the preset conditions.

[0022] Further, the original corrosion simulation model is used to perform simulation tests on the regional corrosion environment parameters and the regional material parameters corresponding to at least one vehicle body region to obtain the regional simulated corrosion intensity corresponding to at least one vehicle body region, including:

[0023] Obtaining position information corresponding to at least one vehicle body area;

[0024] Determining a water contact probability corresponding to at least one of the vehicle body regions based on position information corresponding to at least one of the vehicle body regions;

[0025] A simulation test is performed based on the water contact probability corresponding to at least one of the vehicle body regions, the regional corrosion environment parameters and the regional material parameters to obtain the regional simulated corrosion intensity corresponding to at least one of the vehicle body regions.

[0026] A vehicle aging corrosion test method, comprising:

[0027] Obtain coating aging test results corresponding to the coating structure in the vehicle to be tested;

[0028] Using the target corrosion simulation model trained by the corrosion simulation model training method, a simulated corrosion test is performed on the metal structure in the vehicle to be tested, and a metal corrosion test result corresponding to the vehicle to be tested is obtained;

[0029] The aging corrosion test result of the vehicle to be tested is obtained according to the coating aging test result and the metal corrosion test result.

[0030] Furthermore, the target corrosion simulation model is used to perform a simulated corrosion test on the metal structure in the vehicle to be tested, and the metal corrosion test result corresponding to the vehicle to be tested is obtained, including:

[0031] Obtain initial and boundary conditions;

[0032] Based on the initial conditions and the boundary conditions, a preset material transfer equation corresponding to the target corrosion simulation model is used to obtain electrolyte parameters and metal interface parameters;

[0033] Based on the electrolyte parameters and the metal interface parameters, a preset electrochemical equation corresponding to the target corrosion simulation model is used to obtain a metal corrosion test result corresponding to the vehicle to be tested.

[0034] Furthermore, the coating aging test results include the aging time corresponding to the two working conditions; the simulated corrosion results include the simulated corrosion time;

[0035] The step of obtaining the aging corrosion test result of the vehicle to be tested according to the coating aging test result and the metal corrosion test result comprises:

[0036] Determine the coating aging time according to the working condition aging time corresponding to the two working conditions;

[0037] Based on the coating aging time and the simulated corrosion time, an aging corrosion test result including a target aging time is obtained.

[0038] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned corrosion simulation model training method or the above-mentioned vehicle aging corrosion test method when executing the computer program.

[0039] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the corrosion simulation model training method or the vehicle aging corrosion test method is implemented.

[0040] The above-mentioned corrosion simulation model training, vehicle aging corrosion test method, equipment and medium obtain the test corrosion intensity of the test vehicle in the corrosion test environment to ensure that the corrosion simulation environment corresponding to the target corrosion simulation model constructed based on the test corrosion intensity of the test vehicle in the corrosion test environment is closer to the conventional corrosion test, and obtain the corrosion environment parameters corresponding to the corrosion test environment and the vehicle material parameters corresponding to the test vehicle, and use the original corrosion simulation model to simulate the corrosion environment parameters and vehicle material parameters to obtain the simulated corrosion intensity, so that the simulated corrosion intensity can be obtained from the two dimensions of the corrosion environment and vehicle material to ensure the accuracy of the simulated corrosion intensity, and when the model evaluation result does not meet the preset conditions, the model parameters of the original corrosion simulation model are updated, and the original corrosion simulation model is repeatedly used to simulate the corrosion environment parameters and vehicle material parameters to obtain the simulated corrosion intensity, so as to adjust the simulated corrosion intensity output by the original corrosion simulation model, and improve the accuracy of the simulated corrosion intensity output by the original corrosion simulation model. When the model evaluation result meets the preset conditions, the original corrosion simulation model is determined as the target corrosion simulation model, so as to obtain a target corrosion simulation model with higher accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0042] Figure 1 It is a schematic diagram of an application environment of a corrosion simulation model training method or a vehicle aging corrosion test method in one embodiment of the present invention;

[0043] Figure 2 is a flow chart of a corrosion simulation model training method in one embodiment of the present invention;

[0044] Figure 3is another flow chart of a corrosion simulation model training method in one embodiment of the present invention;

[0045] Figure 4 is another flow chart of a corrosion simulation model training method in one embodiment of the present invention;

[0046] Figure 5 is another flow chart of a corrosion simulation model training method in one embodiment of the present invention;

[0047] Figure 6 is a flow chart of a vehicle aging corrosion test method in one embodiment of the present invention;

[0048] Figure 7 is another flow chart of a vehicle aging corrosion test method according to an embodiment of the present invention;

[0049] Figure 8 is another flow chart of a vehicle aging corrosion test method according to an embodiment of the present invention;

[0050] Fig. 9 is a schematic diagram of a computer device in one embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] The corrosion simulation model training method provided by the embodiment of the present invention can be applied as follows: Figure 1 Specifically, the corrosion simulation model training method is applied in a corrosion simulation model training system, and the corrosion simulation model training system includes: Figure 1 The client and server shown in the figure communicate with each other through the network to realize the training of corrosion simulation model. The client, also known as the user end, refers to the program corresponding to the server and providing local services to the client. The client can be installed on but not limited to various personal computers, laptops, smart phones, tablets and portable wearable devices. The server can be implemented as an independent server or a server cluster composed of multiple servers.

[0053] In one embodiment, if Figure 2 As shown, a corrosion simulation model training method is provided, and the corrosion simulation model training method is applied in Figure 1 The server includes:

[0054] S201: Obtaining the test corrosion intensity of the test vehicle in the corrosion test environment.

[0055] S202: Obtain corrosion environment parameters corresponding to the corrosion test environment and vehicle material parameters corresponding to the test vehicle.

[0056] S203: Using the original corrosion simulation model to perform simulation tests on corrosion environment parameters and vehicle material parameters to obtain simulated corrosion intensity.

[0057] S204: Obtain model evaluation results according to the test corrosion intensity and the simulation corrosion intensity.

[0058] S205: If the model evaluation result is that the preset conditions are not met, the model parameters of the original corrosion simulation model are updated, and the simulation test of the corrosion environment parameters and the vehicle material parameters using the original corrosion simulation model is repeatedly performed to obtain the simulated corrosion intensity.

[0059] S206: If the model evaluation result satisfies the preset conditions, the original corrosion simulation model is determined as the target corrosion simulation model.

[0060] As an example, in step S201, the test vehicle refers to a vehicle used in a conventional corrosion test. Preferably, the test vehicle is a vehicle that has been treated with a corrosion test. The corrosion test treatment includes, but is not limited to, salt spray spraying and salt water road driving, so as to ensure that the corrosion simulation environment corresponding to the target corrosion simulation model constructed based on the test corrosion intensity of the test vehicle in the corrosion test environment is closer to the conventional corrosion test. The corrosion test environment refers to the test environment for performing conventional corrosion tests on the test vehicle. Exemplarily, the corrosion test environment can be customized according to actual needs. Optionally, the corrosion test environment can be a single test environment or a combination of multiple test environments, ensuring that the test corrosion intensity in a single test environment or multiple test environments is the same. Preferably, the corrosion test environment is a high temperature and high humidity test environment. It should be noted that the specific temperature and humidity can be determined according to QC / T 732 passenger car enhanced corrosion test method. The test corrosion intensity refers to the corrosion intensity of the test vehicle in the corrosion test environment. Optionally, the test corrosion intensity can be reflected by corrosion rate or corrosion depth.

[0061] Specifically, based on the QC / T 732 passenger car enhanced corrosion test method, the user conducts a conventional corrosion test on the test vehicle that has been subjected to the corrosion test in a corrosion test environment to obtain the test corrosion intensity, and inputs the test corrosion intensity into the server through the client, so that the server obtains the test corrosion intensity of the test vehicle in the corrosion test environment, thereby ensuring that the corrosion simulation environment corresponding to the target corrosion simulation model subsequently constructed based on the test corrosion intensity of the test vehicle in the corrosion test environment is closer to the conventional corrosion test.

[0062] As an example, in step S202, the corrosion environment parameters refer to the parameters of the custom settings, which are used to simulate the simulation test environment corresponding to the corrosion test environment. Exemplarily, when the metal structure of the test vehicle is corroded in the simulated corrosion test environment, the corrosion test environment can be regarded as a simulation test environment, such as an electrolyte environment, so as to construct a simulation test environment by configuring the corrosion environment parameters, so as to simulate the corrosion test environment, so as to ensure that the corrosion simulation environment corresponding to the target corrosion simulation model constructed subsequently is closer to the conventional corrosion test. Preferably, the simulation test environment is an electrolyte environment, and the corrosion environment parameters include liquid film thickness, ion diffusion coefficient and ion mobility. Vehicle material parameters refer to the material parameters of the test vehicle. Exemplarily, the vehicle material parameters include metal material parameters of the test vehicle, including polarization curves and corrosion products. Among them, the test vehicle generally includes a metal structure and a coating structure arranged on the outer layer of the metal structure. In this example, the target corrosion simulation model is a simulated corrosion intensity of a simulated metal structure under a simulated test environment.

[0063] Specifically, the user can determine the corrosion environment parameters and vehicle material parameters based on the corrosion test environment and actual experience, and input the corrosion environment parameters and vehicle material parameters to the server through the client, so that the server obtains the corrosion environment parameters corresponding to the corrosion test environment and the vehicle material parameters corresponding to the test vehicle, so that the server can train the corrosion simulation model based on the corrosion environment parameters corresponding to the corrosion test environment and the vehicle material parameters corresponding to the test vehicle.

[0064] As an example, in step S203, the original corrosion simulation model refers to a pre-built corrosion simulation model. The original corrosion simulation model is used to output a simulated corrosion intensity according to corrosion environment parameters and vehicle material parameters. The simulated corrosion intensity refers to the corrosion intensity of the metal structure on the vehicle obtained after corrosion simulation is performed using the original corrosion simulation model. The simulated corrosion intensity can also be reflected by corrosion rate or corrosion depth.

[0065] Specifically, before step S203, the server obtains the vehicle material data of the test vehicle and the environmental data of different environments, as well as the pre-configured mathematical model of corrosion intensity. Then, based on the vehicle material data of the test vehicle, the environmental data of different environments and the pre-configured mathematical model of corrosion intensity, the corrosion simulation tool is used to construct the original corrosion simulation model. The original corrosion simulation model is used to output the simulated corrosion intensity based on the vehicle material data and the environmental data of different environments and the pre-configured mathematical model of corrosion intensity. It should be noted that the original corrosion simulation model can be constructed using the simulation corrosion model construction method known to those skilled in the art, which is not limited here, to ensure that the constructed original corrosion simulation model can simulate the corrosion environment parameters and vehicle material parameters to obtain the simulated corrosion intensity. In this example, the server uses the original corrosion simulation model to simulate the corrosion environment parameters and vehicle material parameters to obtain the simulated corrosion intensity. Since the simulation test is combined with the vehicle material parameters, the simulated corrosion intensity can be obtained from the two dimensions of the corrosion environment and the vehicle material to ensure the accuracy of the simulated corrosion intensity.

[0066] As an example, in step S204, a model evaluation result is obtained according to the test corrosion intensity and the simulated corrosion intensity. In this example, the model evaluation result is obtained according to the test corrosion intensity and the simulated corrosion intensity, so that in the subsequent steps, it is judged according to the model evaluation result whether the simulated corrosion intensity output by the original corrosion simulation model is close to the test corrosion intensity, so as to judge the accuracy of the original corrosion simulation model.

[0067] As an example, in step S205, the preset condition refers to a custom set condition, which is used to determine whether the simulated corrosion intensity output by the original corrosion simulation model is close to the experimental corrosion intensity.

[0068] Specifically, if the model evaluation result does not meet the preset conditions, that is, the simulated corrosion intensity output by the original corrosion simulation model is not close to the experimental corrosion intensity, the model parameters of the original corrosion simulation model are updated, and the simulation test of the corrosion environment parameters and vehicle material parameters using the original corrosion simulation model is repeatedly executed to obtain the simulated corrosion intensity, so as to adjust the simulated corrosion intensity output by the original corrosion simulation model and improve the accuracy of the simulated corrosion intensity output by the original corrosion simulation model.

[0069] As an example, in step S206, if the model evaluation result satisfies the preset conditions, the original corrosion simulation model is determined as the target corrosion simulation model. In this example, when the model evaluation result satisfies the preset conditions, that is, the simulated corrosion intensity output by the original corrosion simulation model is close to the experimental corrosion intensity, it means that the simulated corrosion intensity output by the original corrosion simulation model is close to the experimental corrosion intensity in the corrosion test environment, thereby proving that the original corrosion simulation model has a high accuracy, and therefore, the original corrosion simulation model can be directly determined as the target corrosion simulation model.

[0070] In this embodiment, the test corrosion intensity of the test vehicle in the corrosion test environment is obtained to ensure that the corrosion simulation environment corresponding to the target corrosion simulation model constructed based on the test corrosion intensity of the test vehicle in the corrosion test environment is closer to the conventional corrosion test, and the corrosion environment parameters corresponding to the corrosion test environment and the vehicle material parameters corresponding to the test vehicle are obtained, and the original corrosion simulation model is used to simulate the corrosion environment parameters and the vehicle material parameters to obtain the simulated corrosion intensity, so that the simulated corrosion intensity can be obtained from the two dimensions of the corrosion environment and the vehicle material to ensure the accuracy of the simulated corrosion intensity, and when the model evaluation result does not meet the preset conditions, the model parameters of the original corrosion simulation model are updated, and the simulation test of the corrosion environment parameters and the vehicle material parameters using the original corrosion simulation model is repeated to obtain the simulated corrosion intensity, so as to adjust the simulated corrosion intensity output by the original corrosion simulation model, and improve the accuracy of the simulated corrosion intensity output by the original corrosion simulation model. When the model evaluation result meets the preset conditions, the original corrosion simulation model is determined as the target corrosion simulation model, so as to obtain a target corrosion simulation model with higher accuracy.

[0071] In one embodiment, if Figure 3 As shown, in step S204, according to the test corrosion intensity and the simulation corrosion intensity, the model evaluation result is obtained, including:

[0072] S301: Determine the absolute value of the corrosion intensity difference according to the test corrosion intensity and the simulation corrosion intensity.

[0073] S302: If the absolute value of the corrosion intensity difference is greater than a preset threshold, it is determined that the model evaluation result does not meet the preset condition.

[0074] S303: If the absolute value of the corrosion intensity difference is not greater than a preset threshold, it is determined that the model evaluation result satisfies a preset condition.

[0075] As an example, in step S301, the absolute value of the corrosion intensity difference refers to the absolute value of the difference between the test corrosion intensity and the simulation corrosion intensity.

[0076] Specifically, according to the test corrosion intensity and the simulated corrosion intensity, the absolute value of the corrosion intensity difference is determined to determine whether the simulated corrosion intensity output by the original corrosion simulation model is close to the test corrosion intensity, so as to determine the accuracy of the original corrosion simulation model. In this example, according to the test corrosion intensity and the simulated corrosion intensity corresponding to the same corrosion test environment, the absolute value of the corrosion intensity difference is determined, so as to determine whether the model evaluation result meets the preset conditions according to the absolute value of the corrosion intensity difference, so that the corrosion simulation environment corresponding to the constructed target corrosion simulation model is closer to the conventional corrosion test, and the accuracy of the target corrosion simulation model is improved. It should be noted that according to the test corrosion intensity and the simulated corrosion intensity corresponding to the same corrosion test environment, the absolute value of the corrosion intensity difference is determined, and specifically, it can be determined in a high temperature and high humidity environment within a preset time. The absolute value of the difference between the corrosion depth of the metal structure in the conventional corrosion test and the corrosion depth of the metal structure in the simulated corrosion test is determined, for example, in a high temperature and high humidity environment, the absolute value of the difference between the corrosion depth of the metal structure in the conventional corrosion test for one year and the corrosion depth of the metal structure in the simulated corrosion test for one year. Optionally, the time unit of the preset time can be a day, a month or a year, which can be set according to actual experience and is not limited here.

[0077] As an example, in step S302, the preset threshold refers to a custom threshold. Preferably, the selection range of the preset threshold is 0 to 0.5, wherein the preset threshold is not 0. It should be noted that the selection range of the preset threshold in this example is only used as an example, and the specific selection can be made according to actual experience, and is not limited here.

[0078] Specifically, when the absolute value of the corrosion intensity difference is greater than a preset threshold, it is determined that the model evaluation result does not meet the preset conditions, that is, the difference between the test corrosion intensity and the simulated corrosion intensity is large, and the simulated corrosion intensity obtained by using the original corrosion simulation model is not accurate enough. Then, it is determined that the model evaluation result does not meet the preset conditions, so as to improve the accuracy of the original corrosion simulation model by updating the model parameters of the original corrosion simulation model, repeatedly executing the simulation test of the corrosion environment parameters and the vehicle material parameters using the original corrosion simulation model, and obtaining the simulated corrosion intensity.

[0079] As an example, in step S303, if the absolute value of the corrosion intensity difference is not greater than the preset threshold, the model evaluation result is determined to meet the preset conditions, that is, when the absolute value of the corrosion intensity difference is greater than or equal to 0 and less than or equal to the preset threshold, the model evaluation result is determined to meet the preset conditions, and the original corrosion simulation model can be directly determined as the target corrosion simulation model.

[0080] In this embodiment, the absolute value of the corrosion intensity difference is determined according to the test corrosion intensity and the simulated corrosion intensity. When the absolute value of the corrosion intensity difference is greater than a preset threshold, the model evaluation result is determined to be not meeting the preset condition. When the absolute value of the corrosion intensity difference is not greater than the preset threshold, the model evaluation result is determined to be meeting the preset condition, so as to judge whether the simulated corrosion intensity obtained by the original corrosion simulation model has a high accuracy, so as to facilitate the subsequent steps to improve the accuracy of the original corrosion simulation model, so as to obtain a target corrosion simulation model with a higher accuracy.

[0081] In one embodiment, the test corrosion intensity includes a regional test corrosion intensity corresponding to at least one vehicle body area; the simulated corrosion intensity includes a regional simulated corrosion intensity corresponding to at least one vehicle body area; and a model evaluation result is obtained based on the test corrosion intensity and the simulated corrosion intensity, including: obtaining a model evaluation result based on the regional test corrosion intensity corresponding to at least one vehicle body area and the regional simulated corrosion intensity corresponding to at least one vehicle body area.

[0082] Exemplarily, the at least one vehicle body area includes a vehicle bottom area, a cabin area, a door inner area, a passenger compartment area, a vehicle roof area, a door outer area, a wet area inner cavity, a dry area inner cavity, and the like.

[0083] As an example, since the probability of contact between the structure and materials of different vehicle body areas and the environment is different, the corrosion intensity of different vehicle body areas will also be different. In order to ensure the accuracy of the model evaluation results, in this example, the model evaluation results are obtained based on the regional test corrosion intensity corresponding to at least one vehicle body area and the regional simulation corrosion intensity corresponding to at least one vehicle body area. Through the dimension of different vehicle body areas, whether the regional test corrosion intensity and the regional simulation corrosion intensity are close is considered to ensure the accuracy of the model evaluation results.

[0084] Specifically, in step S201, the test corrosion intensity of the test vehicle in the corrosion test environment is obtained, including: obtaining the regional test corrosion intensity corresponding to at least one body area of ​​the test vehicle in the corrosion test environment. In step S202, the corrosion environment parameters corresponding to the corrosion test environment and the vehicle material parameters corresponding to the test vehicle are obtained, including: obtaining the regional corrosion environment parameters and regional material parameters corresponding to at least one body area corresponding to the corrosion test environment. In step S203, the corrosion environment parameters and the vehicle material parameters are simulated by using the original corrosion simulation model to obtain the simulated corrosion intensity, including: using the original corrosion simulation model, the regional corrosion environment parameters and the regional material parameters corresponding to at least one body area are simulated to obtain the regional simulated corrosion intensity corresponding to at least one body area. Finally, in step S204, according to the test corrosion intensity and the simulated corrosion intensity, a model evaluation result is obtained, including: according to the regional test corrosion intensity corresponding to at least one body area and the regional simulated corrosion intensity corresponding to at least one body area, a model evaluation result is obtained.

[0085] In this embodiment, a model evaluation result is obtained based on the regional test corrosion intensity corresponding to at least one body area and the regional simulation corrosion intensity corresponding to at least one body area, so as to consider whether the regional test corrosion intensity and the regional simulation corrosion intensity are close through the dimension of different body areas to ensure the accuracy of the model evaluation result.

[0086] In one embodiment, if Figure 4 As shown, according to the regional test corrosion intensity corresponding to at least one vehicle body area and the regional simulation corrosion intensity corresponding to at least one vehicle body area, the model evaluation result is obtained, including:

[0087] S401: Obtaining a regional assessment result corresponding to a vehicle body region according to a regional test corrosion intensity and a regional simulation corrosion intensity corresponding to the same vehicle body region.

[0088] S402: If there is at least one vehicle body region whose corresponding regional evaluation result does not satisfy a preset condition, determine that the model evaluation result does not satisfy the preset condition.

[0089] S403: If the regional evaluation results corresponding to all vehicle body regions satisfy the preset conditions, it is determined that the model evaluation result satisfies the preset conditions.

[0090] As an example, in step S401, the regional evaluation result refers to the model evaluation result obtained according to the regional test corrosion intensity and the regional simulation corrosion intensity corresponding to the vehicle body area. In this example, the regional evaluation result corresponding to the vehicle body area is obtained according to the regional test corrosion intensity and the regional simulation corrosion intensity corresponding to the same vehicle body area, so as to consider whether the regional test corrosion intensity and the regional simulation corrosion intensity are close according to the dimension of the vehicle body area, so as to ensure the accuracy of the model evaluation result.

[0091] As an example, in step S402, if there is at least one body area corresponding to a regional evaluation result that does not meet the preset condition, then the model evaluation result is determined to be not meeting the preset condition. In this example, when the absolute value of the corrosion intensity difference between the regional test corrosion intensity and the regional simulation corrosion intensity corresponding to any body area is greater than a preset threshold, then the model evaluation result is determined to be not meeting the preset condition.

[0092] As an example, in step S403, if the regional evaluation results corresponding to all vehicle body regions meet the preset conditions, the model evaluation result is determined to meet the preset conditions. In this example, when the absolute value of the corrosion intensity difference between the regional test corrosion intensity and the regional simulation corrosion intensity corresponding to the vehicle body region is not greater than the preset threshold, the model evaluation result is determined to meet the preset conditions.

[0093] In this embodiment, the regional evaluation result corresponding to the vehicle body region is obtained according to the regional test corrosion intensity and the regional simulation corrosion intensity corresponding to the same vehicle body region. If there is at least one regional evaluation result corresponding to the vehicle body region that does not meet the preset conditions, the model evaluation result is determined to be not meeting the preset conditions. If the regional evaluation results corresponding to all vehicle body regions meet the preset conditions, the model evaluation result is determined to meet the preset conditions. Therefore, according to the dimension of the vehicle body region, whether the regional test corrosion intensity and the regional simulation corrosion intensity are close is considered to ensure the accuracy of the model evaluation result.

[0094] In one embodiment, if Figure 5 As shown, in step S203, the original corrosion simulation model is used to perform simulation tests on regional corrosion environment parameters and regional material parameters corresponding to at least one vehicle body region to obtain regional simulated corrosion intensity corresponding to at least one vehicle body region, including:

[0095] S501: Obtaining position information corresponding to at least one vehicle body area.

[0096] S502: Determine the water contact probability corresponding to at least one vehicle body region based on the position information corresponding to at least one vehicle body region.

[0097] S503: Perform a simulation test based on the water contact probability, regional corrosion environment parameters, and regional material parameters corresponding to at least one vehicle body region to obtain a regional simulated corrosion intensity corresponding to at least one vehicle body region.

[0098] As an example, in step S501, the location information refers to the location information corresponding to each body area on the test vehicle. In this example, the location information can be obtained from a preset database, or can be obtained from a client. The user inputs the location information corresponding to at least one body area to the server through the client.

[0099] As an example, in step S502, based on the position information corresponding to at least one body area, the water contact probability corresponding to at least one body area is determined. Specifically, the server can obtain historical water contact data corresponding to the position information corresponding to at least one body area based on the position information corresponding to at least one body area, and determine the water contact probability corresponding to at least one body area based on the historical water contact data. The historical water contact data includes the number of water contacts corresponding to each body area when the test vehicle travels in a target water depth road condition within a target time. The target water depth refers to the depth of water in the driving environment of the test vehicle.

[0100] As an example, in step S503, a simulation test is performed based on the water contact probability, regional corrosion environment parameters and regional material parameters corresponding to at least one body area to obtain the regional simulated corrosion intensity corresponding to at least one body area. In this example, a simulation test is performed based on the water contact probability, regional corrosion environment parameters and regional material parameters corresponding to at least one body area, so as to simulate the regional simulated corrosion intensity corresponding to different body areas in combination with the probability of contact with water of different body areas, so as to be closer to the actual corrosion situation and improve the accuracy of the regional simulated corrosion intensity.

[0101] In this embodiment, position information corresponding to at least one body area is obtained, and based on the position information corresponding to the at least one body area, the probability of water contact corresponding to the at least one body area is determined. A simulation test is performed based on the probability of water contact corresponding to the at least one body area, regional corrosion environment parameters, and regional material parameters to obtain the regional simulated corrosion intensity corresponding to the at least one body area. Then, the regional simulated corrosion intensity corresponding to different body areas is simulated in combination with the probability of water contact of different body areas, so as to be closer to the actual corrosion situation and improve the accuracy of the regional simulated corrosion intensity.

[0102] This embodiment provides a vehicle aging corrosion test method, such as Figure 6 As shown, the application is as follows Figure 1 The servers shown include:

[0103] S601: Obtain coating aging test results corresponding to the coating structure in the vehicle to be tested.

[0104] S602: Using the target corrosion simulation model trained by the corrosion simulation model training method, a simulated corrosion test is performed on the metal structure in the vehicle to be tested, and a metal corrosion test result corresponding to the vehicle to be tested is obtained.

[0105] S603: Obtain aging corrosion test results of the vehicle to be tested according to the coating aging test results and the metal corrosion test results.

[0106] As an example, in step S601, the vehicle to be tested refers to a vehicle used for aging corrosion testing, including a coating structure and a metal structure. Optionally, the coating structure includes an electrophoretic coating, a powder coating, a paint coating, a metal surface chemical conversion coating (oxide film, phosphating film) sealing film or a coating formed by a composite of the above coatings. The coating aging test result refers to the test result of an aging test on the coating structure. Specifically, the user can conduct a road driving evaluation or a water accumulation scene evaluation of the vehicle to be tested, and the coating aging test result includes the time when the coating structure is exposed to the metal structure. Exemplarily, the road driving evaluation is carried out according to QC / T 732, and 30 cycles of road driving are carried out. The water accumulation scene evaluation is to conduct a limit test according to the salt concentration in the accumulated water in a high temperature and high humidity environment. It should be noted that other aging tests can also be used, and the obtained coating aging test results only need to include the time when the coating structure is exposed to the metal structure, which is not limited here.

[0107] As an example, in step S602, a simulated corrosion test is performed on a metal structure in a vehicle to be tested using a target corrosion simulation model trained by the above-mentioned corrosion simulation model training method to obtain a metal corrosion test result corresponding to the vehicle to be tested. In this example, a simulated corrosion test is performed on a metal structure in a vehicle to be tested using a target corrosion simulation model trained by the above-mentioned corrosion simulation model training method to obtain a metal corrosion test result corresponding to the vehicle to be tested, so that in subsequent steps, the aging corrosion test result of the vehicle to be tested can be obtained based on the coating aging test results and the metal corrosion test results, thereby evaluating the expected service life of the vehicle to be tested.

[0108] As an example, in step S602, the aging corrosion test result of the vehicle to be tested is obtained according to the coating aging test result and the metal corrosion test result. In this example, the aging corrosion test result of the vehicle to be tested is obtained according to the coating aging test result and the metal corrosion test result, so that the user can evaluate the expected service life of the vehicle to be tested according to the aging corrosion test result.

[0109] In this embodiment, the coating aging test results corresponding to the coating structure in the vehicle to be tested are obtained, and the target corrosion simulation model trained by the above-mentioned corrosion simulation model training method is used to perform a simulated corrosion test on the metal structure in the vehicle to be tested to obtain the metal corrosion test results corresponding to the vehicle to be tested. Based on the coating aging test results and the metal corrosion test results, the aging corrosion test results of the vehicle to be tested are obtained. Since the electrochemical simulation corrosion test cannot accurately simulate the corrosion of the coating structure, the aging corrosion test is performed on the coating structure and the metal structure respectively, thereby ensuring the accuracy of the aging corrosion test, reducing the test cycle and reducing the development cost.

[0110] In one embodiment, if Figure 7 As shown, in step S602, a target corrosion simulation model is used to perform a simulated corrosion test on the metal structure in the vehicle to be tested, and a metal corrosion test result corresponding to the vehicle to be tested is obtained, including:

[0111] S701: Obtain initial conditions and boundary conditions.

[0112] S702: Based on the initial conditions and boundary conditions, the preset material transfer equation corresponding to the target corrosion simulation model is used to obtain electrolyte parameters and metal interface parameters.

[0113] S703: Based on the electrolyte parameters and the metal interface parameters, a preset electrochemical equation corresponding to the target corrosion simulation model is used to obtain a metal corrosion test result corresponding to the vehicle to be tested.

[0114] As an example, in step S701, the initial conditions include the initial time, the distribution of corrosion product concentration on the surface of the metal structure film, the initial concentration distribution in the electrolyte, and the potential distribution on the surface of the metal structure. The boundary conditions include setting the boundary conditions of the corrosion product concentration on the surface of the metal structure, for example, the corrosion product concentration on the surface of the metal structure is equal to the saturation concentration of the corrosion product. The boundary conditions of the electrolyte, for example, specifying the concentration or potential of the electrolyte on the boundary of the target corrosion simulation model. The boundary conditions in time, for example, the time range of the operation of the target corrosion simulation model.

[0115] As an example, the preset material transfer equations include:

[0116] Electrolyte mass transfer equation: in, is the rate of change of substance concentration (c) over time (t). is the diffusion term, where D i is the diffusion coefficient, which indicates the speed at which a substance diffuses in a medium. is the gradient of the concentration of a substance, representing diffusion due to a concentration difference. is the migration term, where F is the electric field strength, Ci is the substance concentration, Zi is the charge number of the substance, and Um is the potential. This migration term represents the migration of substances caused by the electric field. is the convection term, where u is the velocity vector, is the gradient of species concentration, representing the convection of species due to fluid flow.

[0117] Furthermore, when there is convection in the simulation test environment and the concentration is approximately stable and does not change with time, Then the electrolyte mass transfer equation is:

[0118] When there is no convection term in the simulation test environment, Based on Fick's second law, the change in concentration of a substance is proportional to the diffusion coefficient of that substance, where the change in concentration of a substance is expressed as Then the electrolyte mass transfer equation is: Where x is the spatial coordinate.

[0119] Based on the above preset material transfer equation, the relationship between diffusion concentration, time and position can be accurately analyzed, so that based on the initial conditions and boundary conditions, the electrolyte parameters and metal interface parameters can be obtained.

[0120] Furthermore, in order to consider the corrosion resistance of corrosion products, the diffusion coefficient can be corrected to ensure accurate analysis of the relationship between diffusion concentration, time and position.

[0121] Specifically, when considering the deposition of corrosion products, since the effective diffusion cross section is smaller than the cross section of the free fluid, and the distance from one point to another in the porous material is also smaller than the distance that the molecules must move between the two points, that is, in the porous medium, the effective diffusion coefficient multiplied by the tortuosity (τ>1) introduces this effect: Where ε is the porosity of the medium, and τ is the tortuosity of the medium. Optionally, the correlation between tortuosity and porosity can be determined based on the Millington-Quirk model or the Bruggeman model. For example, the Millington-Quirk model: τ = ε-1 / 3; the Bruggeman model: τ = ε-1 / 2. The porosity is mainly calculated by the concentration of corrosion products: ε = 1-C cp M cp / ρ cp , where Ccp is the corrosion product concentration, Mcp is the corrosion product molar concentration, ρ cp is the density of corrosion products.

[0122] Furthermore, the relationship between current density, time and substance concentration is established based on substance flux and Fick's second law. Specifically, the net current: i l =F∑zi N i , local electrical neutrality, determine that the sum of the concentration of each substance and its charge number is 0, ∑z i C i = 0. Charge conservation: Electrochemical migration parameters, using the Nernst-Einstein relationship: U m =D i / RT.

[0123] In step S702, based on the initial conditions, boundary conditions, and the above-mentioned preset material transfer equation, the electrolyte parameters and the metal interface parameters can be obtained.

[0124] As an example, in step S703, based on the electrolyte parameters and the metal interface parameters, the preset electrochemical equation corresponding to the target corrosion simulation model is used to obtain the metal corrosion test results corresponding to the vehicle to be tested. The preset electrochemical equation may be a Tafel curve or a Butler-Volmer formula of corrosion kinetics, and based on the preset electrochemical equation, the electrolyte parameters and the metal interface parameters can be used to obtain the metal corrosion test results corresponding to the vehicle to be tested.

[0125] In this embodiment, by obtaining initial conditions and boundary conditions, and based on the initial conditions and boundary conditions, using the preset material transfer equation corresponding to the target corrosion simulation model, the electrolyte parameters and metal interface parameters are obtained, based on the electrolyte parameters and metal interface parameters, and finally using the preset electrochemical equation corresponding to the target corrosion simulation model, the metal corrosion test results corresponding to the vehicle to be tested can be obtained.

[0126] In one embodiment, if Figure 8 As shown, in step S703, the coating aging test results include the aging time corresponding to the two working conditions; the simulation corrosion results include the simulation corrosion time; according to the coating aging test results and the metal corrosion test results, the aging corrosion test results of the vehicle to be tested are obtained, including:

[0127] S801: Determine coating aging time according to the working condition aging times corresponding to the two working conditions.

[0128] S802: Based on the coating aging time and the simulated corrosion time, an aging corrosion test result including a target aging time is obtained.

[0129] As an example, in step S801, the coating aging time is the time for the coating structure to age. Exemplarily, the coating aging time is the time for the coating structure to age and corrode to expose the metal structure. The operating condition aging time corresponding to the two operating conditions includes a first aging time corresponding to road driving and a second aging time corresponding to immersion in accumulated water. Based on the first aging time and the second aging time, there is a preset data processing logic to determine the coating aging time. Exemplarily, the preset data processing logic can be a weighted average method to determine the coating aging time.

[0130] As an example, in step S802, the target aging time is the sum of the coating aging time and the simulated corrosion time. In this example, the target aging time is determined based on the sum of the coating aging time and the simulated corrosion time, so as to obtain the aging corrosion test results including the target aging time, so as to evaluate the service life of the vehicle to be tested based on the aging corrosion test results.

[0131] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned corrosion simulation model training method or the above-mentioned vehicle aging corrosion test method when executing the computer program.

[0132] This embodiment provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned corrosion simulation model training method or the above-mentioned vehicle aging corrosion test method is implemented.

[0133] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig. 9 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data generated when executing a corrosion simulation model training method or a vehicle aging corrosion test method. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a corrosion simulation model training method or a vehicle aging corrosion test method is implemented.

[0134] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the corrosion simulation model training method or the vehicle aging corrosion test method in the above-mentioned embodiment is implemented. To avoid repetition, they are not described here.

[0135] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the corrosion simulation model training method or the vehicle aging corrosion test method in the above embodiment is implemented. To avoid repetition, it is not repeated here. A person of ordinary skill in the art can understand that all or part of the processes in the above embodiment method can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0136] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0137] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A corrosion simulation model training method, characterized in that: include: Obtain the test corrosion intensity of the test vehicle in the corrosion test environment; Acquiring corrosion environment parameters corresponding to the corrosion test environment and vehicle material parameters corresponding to the test vehicle; Using the original corrosion simulation model to perform simulation tests on the corrosion environment parameters and the vehicle material parameters to obtain simulated corrosion intensity; Obtaining a model evaluation result according to the test corrosion intensity and the simulated corrosion intensity; If the model evaluation result is that the preset conditions are not met, the model parameters of the original corrosion simulation model are updated, and the simulation test of the corrosion environment parameters and the vehicle material parameters using the original corrosion simulation model is repeatedly performed to obtain the simulated corrosion intensity; If the model evaluation result satisfies the preset conditions, the original corrosion simulation model is determined as the target corrosion simulation model.

2. The corrosion simulation model training method according to claim 1, characterized in that: The obtaining of a model evaluation result according to the test corrosion intensity and the simulated corrosion intensity includes: Determining an absolute value of a corrosion intensity difference according to the test corrosion intensity and the simulated corrosion intensity; If the absolute value of the corrosion intensity difference is greater than a preset threshold, determining that the model evaluation result does not meet the preset condition; If the absolute value of the corrosion intensity difference is not greater than a preset threshold, it is determined that the model evaluation result meets the preset condition.

3. The corrosion simulation model training method according to claim 1, characterized in that: The test corrosion intensity includes a regional test corrosion intensity corresponding to at least one vehicle body region; the simulation corrosion intensity includes a regional simulation corrosion intensity corresponding to at least one vehicle body region; The obtaining of the model evaluation result according to the test corrosion intensity and the simulated corrosion intensity includes: obtaining the model evaluation result according to the regional test corrosion intensity corresponding to at least one vehicle body area and the regional simulated corrosion intensity corresponding to at least one vehicle body area.

4. The corrosion simulation model training method according to claim 3, characterized in that: The obtaining of the model evaluation result according to the regional test corrosion intensity corresponding to at least one vehicle body region and the regional simulation corrosion intensity corresponding to at least one vehicle body region comprises: According to the regional test corrosion intensity and the regional simulation corrosion intensity corresponding to the same vehicle body area, obtaining a regional assessment result corresponding to the vehicle body area; If there is at least one area evaluation result corresponding to the vehicle body area that does not meet the preset condition, determining that the model evaluation result does not meet the preset condition; If the area evaluation results corresponding to all the vehicle body areas satisfy the preset conditions, it is determined that the model evaluation result satisfies the preset conditions.

5. The corrosion simulation model training method according to claim 1, characterized in that: The method of using the original corrosion simulation model to perform simulation tests on the regional corrosion environment parameters and the regional material parameters corresponding to at least one vehicle body region to obtain the regional simulated corrosion intensity corresponding to at least one vehicle body region includes: Obtaining position information corresponding to at least one vehicle body area; Determining a water contact probability corresponding to at least one of the vehicle body regions based on position information corresponding to at least one of the vehicle body regions; A simulation test is performed based on the water contact probability corresponding to at least one of the vehicle body regions, the regional corrosion environment parameters and the regional material parameters to obtain the regional simulated corrosion intensity corresponding to at least one of the vehicle body regions.

6. A vehicle aging corrosion test method, characterized in that: include: Obtain coating aging test results corresponding to the coating structure in the vehicle to be tested; Using the target corrosion simulation model trained by the corrosion simulation model training method according to any one of claims 1 to 5, a simulated corrosion test is performed on the metal structure in the vehicle to be tested, and a metal corrosion test result corresponding to the vehicle to be tested is obtained; The aging corrosion test result of the vehicle to be tested is obtained according to the coating aging test result and the metal corrosion test result.

7. The vehicle aging corrosion test method according to claim 6, characterized in that: The method of using the target corrosion simulation model to perform a simulated corrosion test on the metal structure in the vehicle to be tested and obtaining a metal corrosion test result corresponding to the vehicle to be tested includes: Obtain initial and boundary conditions; Based on the initial conditions and the boundary conditions, a preset material transfer equation corresponding to the target corrosion simulation model is used to obtain electrolyte parameters and metal interface parameters; Based on the electrolyte parameters and the metal interface parameters, a preset electrochemical equation corresponding to the target corrosion simulation model is used to obtain a metal corrosion test result corresponding to the vehicle to be tested.

8. The vehicle aging corrosion test method according to claim 6, characterized in that: The coating aging test results include the aging time corresponding to the two working conditions; the simulation corrosion results include the simulation corrosion time; The step of obtaining the aging corrosion test result of the vehicle to be tested according to the coating aging test result and the metal corrosion test result comprises: Determine the coating aging time according to the working condition aging time corresponding to the two working conditions; Based on the coating aging time and the simulated corrosion time, an aging corrosion test result including a target aging time is obtained.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the corrosion simulation model training method according to any one of claims 1 to 5 or the vehicle aging corrosion test method according to any one of claims 6 to 8 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the corrosion simulation model training method according to any one of claims 1 to 5 or the vehicle aging corrosion test method according to any one of claims 6 to 8 is implemented.

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