Vehicle diagnosis test method and system and medium

Abstract

The invention discloses a vehicle diagnosis test method and system and a medium. The method comprises the steps that historical diagnosis data and software upgrading data of all vehicle parts of a target vehicle under different diagnosis processes are obtained; based on analysis of the historical diagnosis data under the first process, a first assignment value and a second assignment value are determined, the first assignment value reflects the influence of the ratio of the diagnosis instructions under the first process, and the second assignment value reflects the influence of the number of faults under the first process; based on analysis of the software upgrading data under the second process, a third assignment and a fourth assignment are determined respectively, the third assignment reflects the influence of the number of upgrading times under the second process, and the fourth assignment reflects the influence of the number of upgrading failures under the second process; according to the assignment, determining a risk level corresponding to the current vehicle part of the target vehicle; and the target vehicle is diagnosed and tested in the pressure diagnosis test mode corresponding to the risk level, so that the reliability of a test result is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle testing, and in particular to a vehicle diagnostic testing method, system and medium. Background Art

[0002] With the rapid development of the automotive industry, vehicle diagnostic testing technology is also constantly improving. By adopting advanced testing methods and equipment, we can ensure the safe and reliable operation of the car and improve maintenance efficiency and service quality. At present, the use of diagnostic instruments to send diagnostic instructions in production lines or after-sales to achieve parameter configuration, function inspection, product information input, etc. has been widely used in the production and manufacturing of major OEMs.

[0003] The current vehicle diagnostic test method is relatively simple, which is to perform stress diagnostic tests on vehicles in a fixed stress diagnostic test mode. It cannot accurately simulate the various operating conditions and load changes of the vehicle in actual use, which makes it difficult to accurately evaluate the vehicle's true performance and potential failures, and is not conducive to the quality delivery of the vehicle.

[0004] It can be seen that how to perform diagnostic tests on vehicles scientifically and effectively has become a technical problem that needs to be urgently solved by those skilled in the art. Summary of the invention

[0005] The present invention provides a vehicle diagnostic test method, system and medium to solve the problem of how to perform reliable and effective diagnostic tests on vehicles, so that the test results can fully reflect the application conditions of the vehicles in production lines and after-sales, and improve the reliability of the tests.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a vehicle diagnostic test method, comprising:

[0007] Respectively obtain historical diagnostic data and software upgrade data of each vehicle component of the target vehicle under different diagnostic processes;

[0008] Based on analyzing the historical diagnostic data under the first process, determining a first assignment and a second assignment respectively, wherein the first assignment reflects the influence of the proportion of diagnostic instructions under the first process, and the second assignment reflects the influence of the number of faults under the first process;

[0009] Based on analyzing the software upgrade data in the second process, determining a third assignment and a fourth assignment respectively, wherein the third assignment reflects the influence of the number of upgrades in the second process, and the fourth assignment reflects the influence of the number of upgrade failures in the second process;

[0010] Determining a risk level corresponding to a current vehicle component of the target vehicle according to the first assignment, the second assignment, the third assignment, and the fourth assignment;

[0011] A diagnostic test is performed on the target vehicle in a stress diagnostic test mode corresponding to the risk level.

[0012] Furthermore, the diagnosis process includes: a production line diagnosis process and an after-sales diagnosis process.

[0013] Furthermore, the respectively obtaining of historical diagnostic data and software upgrade data of each vehicle component of the target vehicle under different diagnostic processes includes:

[0014] By using big data technology, the historical diagnostic data and the software upgrade data are obtained from databases corresponding to the production line diagnostic process and the after-sales diagnostic process, respectively.

[0015] Further, determining the risk level corresponding to the current vehicle component of the target vehicle according to the first assignment, the second assignment, the third assignment, and the fourth assignment includes:

[0016] Based on a preset weight threshold, weighted calculation is performed according to the first assignment, the second assignment, the third assignment, and the fourth assignment to obtain a test weight;

[0017] When the test weight exceeds the weight threshold, classifying the current vehicle component as a high-risk module;

[0018] When the test weight is lower than the weight threshold, the current vehicle component is classified as a low-risk module.

[0019] Further, the performing a diagnostic test on the target vehicle in a pressure diagnostic test mode corresponding to the risk level includes:

[0020] During vehicle diagnosis, based on the risk level, high-level stress testing is performed on modules of the target vehicle that are at high risk;

[0021] Perform low-level stress testing on modules that are at low risk.

[0022] Further, the performing a diagnostic test on the target vehicle in a pressure diagnostic test mode corresponding to the risk level further includes:

[0023] The low-order stress test is performed by simulating the target vehicle to be in a stationary working condition, and the high-order stress test is performed by simulating the target vehicle to be in an extreme working condition;

[0024] During the stress test, the test pass rate of the target vehicle is calculated to determine the risk level of the test result;

[0025] According to the risk level, an optimization adjustment strategy corresponding to each vehicle component is formulated.

[0026] Furthermore, before performing diagnostic testing on the target vehicle, the method further includes:

[0027] Obtaining diagnostic instruction files sent by the target vehicle to various vehicle components at the production line end and the post-sales end;

[0028] Based on the diagnostic instruction file, using a test analysis tool to obtain a stress test script corresponding to each vehicle component;

[0029] The stress test script is run to perform the stress diagnosis test.

[0030] Another embodiment of the present invention provides a vehicle diagnostic test system, comprising:

[0031] A data acquisition module, used to respectively acquire historical diagnostic data and software upgrade data of each vehicle component of the target vehicle under different diagnostic processes;

[0032] A first classification assignment module, configured to determine a first assignment and a second assignment based on analyzing the historical diagnostic data under the first process, wherein the first assignment reflects the influence of the proportion of diagnostic instructions under the first process, and the second assignment reflects the influence of the number of faults under the first process;

[0033] a second classification assignment module, configured to determine a third assignment and a fourth assignment respectively based on analyzing the software upgrade data in the second process, wherein the third assignment reflects the influence of the number of upgrades in the second process, and the fourth assignment reflects the influence of the number of upgrade failures in the second process;

[0034] a weighted calculation module, configured to determine a risk level corresponding to a current vehicle component of the target vehicle according to the first assignment, the second assignment, the third assignment, and the fourth assignment;

[0035] The diagnostic test module is used to perform a diagnostic test on the target vehicle in a pressure diagnostic test mode corresponding to the risk level.

[0036] Another embodiment of the present invention provides a vehicle, including an on-board processor, an on-board memory, and a vehicle diagnostic test program stored in the on-board memory and configured to be executed by the on-board processor, wherein the on-board processor implements the vehicle diagnostic test method as described above when executing the vehicle diagnostic test.

[0037] Yet another embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein when a device where the computer-readable storage medium is located executes the computer program, the vehicle diagnostic test method as described above is implemented.

[0038] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0039] (1) The present invention weights and determines the risk level of problems that may occur in various modules of the production line and the after-sales vehicle from two dimensions: the history of production diagnostic instructions and the history of after-sales software upgrades. It scientifically conducts stress tests of different degrees, which can more reasonably use test resources and improve the reliability of test results.

[0040] (2) Using portable test equipment to test on real vehicles makes it easier to conduct tests on various vehicle models. It also avoids the tedious steps of setting up a test bench and is not limited by the single environment of the test bench, thus improving test efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a flow chart of a vehicle diagnostic test method in one embodiment of the present invention;

[0042] Figure 2 It is a schematic diagram of the pressure test process of each ECU of the whole vehicle in one embodiment of the present invention;

[0043] Figure 3 It is a test case preparation flow chart in one embodiment of the present invention;

[0044] Figure 4 It is a schematic diagram of a test script of a certain module part in one embodiment of the present invention;

[0045] Figure 5 It is a schematic diagram of the structure of a vehicle diagnostic test system in one embodiment of the present invention. DETAILED DESCRIPTION

[0046] 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 only part of the embodiments of the present invention, not all of the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. 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.

[0047] In the description of this application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0048] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. The terms "vertical", "horizontal", "left", "right", "upper", "lower" and similar expressions used herein are only for illustrative purposes, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0049] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0050] At present, the use of diagnostic instruments to send diagnostic instructions on production lines and after-sales to implement parameter configuration, function inspection, software upgrades, product information input, etc. of offline vehicles has been widely used in the production and manufacturing of major OEMs and after-sales 4S stores. Based on this, an embodiment of the present invention provides a vehicle diagnostic test method. For details, please refer to Figure 1 , Figure 1 The flowchart of the vehicle diagnostic test method in one embodiment of the present invention includes the following steps:

[0051] S1. Acquire historical diagnostic data and software upgrade data of each vehicle component of the target vehicle under different diagnostic processes.

[0052] It is understandable that when executing diagnostic instructions, some occasional problems often occur, such as no response to diagnostic instructions, response timeout, response error, etc. Since occasional problems usually occur when diagnostic instructions are executed in large quantities, the frequency and number of executions of diagnostic instructions by a certain module of the vehicle to a certain extent characterize the probability of occasional problems. In this embodiment, the various vehicle components of the vehicle refer to the various modules of the above-mentioned vehicle. In particular, since the production suppliers of each module are different, the software quality of the module is also closely related to the supplier's R&D capabilities and production quality control, and the risk of modules with historical problems is relatively high.

[0053] In this embodiment, the diagnostic process includes a production line diagnostic process and an after-sales diagnostic process. Specifically, this embodiment uses big data technology to obtain the historical diagnostic data and the software upgrade data in the databases corresponding to the production line diagnostic process and the after-sales diagnostic process, respectively.

[0054] That is, in some embodiments of the present invention, by performing big data analysis on the production and manufacturing system and the after-sales cloud system, the historical diagnostic instruction information generated when the vehicle executes diagnostic instructions on the production line, as well as the software refresh / upgrade of the vehicle during the after-sales process, is extracted from the database. Analyzing these two indicators will help to discover potential problems of the vehicle under different operating conditions and improve the reliability and durability of the vehicle.

[0055] S2. Based on the analysis of the historical diagnostic data under the first process, determine the first assignment and the second assignment respectively, wherein the first assignment reflects the influence of the proportion of diagnostic instructions under the first process, and the second assignment reflects the influence of the number of faults under the first process.

[0056] The first process in this step is the production line diagnosis process. It is understandable that the more diagnostic instructions a module executes on the production line and the higher the historical failure frequency, the greater the risk of occasional problems in the module.

[0057] Based on this, the embodiment of the present invention classifies and assigns values ​​to the acquired historical diagnostic data according to the two dimensions of the proportion of each module executing diagnostic instructions in the production line and the historical failure frequency when executing diagnostic instructions, thereby obtaining a first assignment and a second assignment. For details, please refer to the following Table 1:

[0058]

[0059] Table 1 Variable table of production line diagnostic instruction execution status

[0060] And S3, based on the analysis of the software upgrade data under the second process, determine the third assignment and the fourth assignment respectively, wherein the third assignment reflects the impact of the number of upgrades under the second process, and the fourth assignment reflects the impact of the number of upgrade failures under the second process.

[0061] The first process in this step is the production line diagnosis process, and the second process is the after-sales diagnosis process. It is understandable that the more times a module undergoes software upgrades at the after-sales end and the higher the frequency of software upgrade failures, the greater the risk of occasional problems in the module.

[0062] This step classifies and assigns values ​​to the acquired software upgrade data according to the two dimensions of the frequency of software upgrades and failure frequency of each module after sales, thereby obtaining the third and fourth values. For details, please refer to the following Table 2:

[0063]

[0064]

[0065] Table 2 Variable table of after-sales software upgrade

[0066] S4. Determine the risk level corresponding to the current vehicle component of the target vehicle according to the first assignment, the second assignment, the third assignment and the fourth assignment.

[0067] In some embodiments of the present invention, based on the two indicators of historical diagnostic data and software upgrade data, a weighted algorithm is used to calculate the test weight value to determine the corresponding risk level of each module.

[0068] Specifically, based on a preset weight threshold, a weighted calculation is performed according to the first assignment, the second assignment, the third assignment, and the fourth assignment to obtain a test weight. Figure 2 , Figure 2 The figure shows a schematic diagram of the pressure test process of each ECU of a whole vehicle in one embodiment of the present invention.

[0069] It can be seen that in this embodiment, the historical diagnostic data of the production line is regarded as variable 1, and the software upgrade data of the after-sales cloud is regarded as variable 2. Considering the impact and consequences after the problem occurs, the loss of the production line problem is greater, so the variable 1 is assigned a weight of 0.7 and the variable 2 is assigned a weight of 0.3, so as to calculate the test weighted value of a certain module of the vehicle, that is:

[0070] Test weight = 0.7 × variable 1 + 0.3 × variable 2

[0071] When the test weight exceeds the weight threshold, the current vehicle component is classified as a high-risk module, and when the test weight is lower than the weight threshold, the current vehicle component is classified as a low-risk module.

[0072] In this embodiment, as an example, the weight threshold is set to 0.5. That is, if the module with a test weight value greater than or equal to 0.5 is a high-risk module, it may need to undergo a stress test under complex working conditions, and if the test weight value is less than 0.5, it is a low-risk module, and only a relatively simple stress test is required.

[0073] The embodiment of the present invention uses two indicators, namely, the history of production diagnostic instructions and the history of after-sales software upgrades, to weightedly determine the risk level of problems that may occur in various modules of the vehicle during production / after-sales service, so as to scientifically conduct stress tests of different degrees and use test resources more reasonably.

[0074] S5. Perform a diagnostic test on the target vehicle in a pressure diagnostic test mode corresponding to the risk level.

[0075] like Figure 2 As shown, during the vehicle diagnosis process, based on the risk level corresponding to each module, a high-level stress test is performed on the modules of the target vehicle that are at high risk, while a low-level stress test is performed on the modules that are at low risk.

[0076] During the diagnosis of the target vehicle, different levels of stress tests correspond to different simulation scenarios. In some embodiments of the present invention, the low-level stress test is performed by simulating the target vehicle to be in a stationary working environment, and the high-level stress test is performed by simulating the target vehicle to be in an extreme working environment.

[0077] Understandably, low-level stress testing means that the vehicle operating conditions are relatively simple and there are fewer message interactions. Modules with a test weight value less than 0.5 indicate that there are few scenarios in which diagnostic instructions are used and the software runs relatively stably. Therefore, there is no need to consider overly complex operating conditions. The vehicle stationary power-on condition can meet the requirements of low-level stress testing.

[0078] For modules with weighted values ​​greater than or equal to 0.5, since the modules themselves use diagnostic instructions in many scenarios and have prominent historical problems, indicating that their software stability is poor and the risk of occasional problems is high, more complex situations must be considered. In some embodiments of the present invention, in the face of modules with higher occasional risks, it is necessary to simulate working conditions with more stringent vehicle environments and more complex scenarios. As an example, vehicle charging scenarios, high-speed driving scenarios, energy switching scenarios involving hybrid vehicles driving on bumpy roads, and vehicles with intelligent driving functions turning on intelligent driving functions during driving can be added to the simulation process to call on as many on-board modules as possible for message interaction, or the CAN load rate of the network segment can be increased to simulate the vehicle in complex and extreme conditions, and perform corresponding high-level stress tests.

[0079] In some embodiments of the present invention, the following specific testing methods are provided for the above-mentioned charging scenarios, high-speed driving scenarios, and charging scenarios for hybrid vehicles:

[0080] For the simulation scenario of vehicle charging, the stress test can be performed in the charging state after the vehicle has been driven and the stress test can be performed immediately after the charging is completed.

[0081] For plug-in hybrid models, a stress test can be set up when the vehicle's battery power drops below 20% during driving and the engine is needed to charge the battery while providing kinetic energy.

[0082] For high-speed driving scenarios, stress testing can be performed after driving different distances on the highway.

[0083] For bumpy road scenarios, stress testing can be performed when the driving journey involves uphill, downhill, uneven road surfaces and complex road conditions.

[0084] For vehicles that support intelligent driving functions, stress testing can be carried out in functional scenarios involving multi-module interaction, such as operating the lever lane change, automatic following start and stop, memory navigation, tracking reversing, automatic parking, and automatic exit while driving.

[0085] Furthermore, for the software execution end of the test, the embodiment of the present invention compiles a stress test script to perform the above stress test process. Specifically, this embodiment obtains the diagnostic instruction file sent by the target vehicle to each vehicle component at the production line end and the post-sales end. This diagnostic instruction file can be obtained after diagnosis using a diagnostic instrument.

[0086] Based on the diagnostic instruction file, the stress test script corresponding to each vehicle component is obtained using the test analysis tool. As an example, the Vehicle Spy tool is used to perform a one-to-one restoration and compilation in the order of the production line / after-sales process. The use of portable standard tools can save the cost and time of building a test bench to simulate the whole vehicle effect. It can be tested at any time in different models and different environments, and is suitable for various whole vehicle environments.

[0087] Finally, run the stress test script to perform the stress diagnostic test. During this process, you can set the number of times the use case automatically loops to simulate the situation where the production line or after-sales batch inputs diagnostic instructions. For details, please refer to Figure 3 , Figure 3 FIG. 1 is a flowchart of a test case preparation process in one embodiment of the present invention. As an example, please refer to FIG. 1 for a partial stress test script of a module of a vehicle. Figure 4 shown.

[0088] It is worth noting that during the stress test, this embodiment also calculates the test pass rate of the target vehicle to determine the risk level of the test result, and formulates the optimization adjustment strategy corresponding to each vehicle component according to the risk level. Specifically,

[0089] During the stress test, if the module does not respond, does not respond within the specified time, or responds incorrectly, the test is considered to have failed. The failure rate of the stress test is calculated to determine the risk level of the test result.

[0090] As an example, when the pass rate of the untested results is less than 1%, it is considered a low risk, when it is between 1% and 5%, it is considered a medium risk, and when it is greater than 5%, it is considered a high risk. In this embodiment, taking the stress test script executed 5000 times as an example, if the number of failures is less than 5 times, it indicates a low risk, 5 to 25 times indicates a general risk, and more than 25 times indicates a high risk. In the face of different risks, subsequent adjustment strategies can be formulated for each module in a targeted manner to improve the overall quality of the vehicle and the safety of its operation.

[0091] In summary, the embodiment of the present invention obtains the historical data of vehicle diagnostic instructions and software upgrade status from the production line and the after-sales end, and classifies and assigns values ​​according to the four dimensions of the two key indicators, namely the proportion of diagnostic instructions, the failure of instruction execution, the number of software upgrades and the number of upgrade failures; a weighted algorithm is used to determine the risk level of each module of the vehicle, and different levels of stress tests are performed on modules of different risk levels, which can fully simulate the various working conditions encountered by the actual vehicle during actual driving, thereby improving the efficiency and reliability of the diagnostic test.

[0092] An embodiment of the present invention provides a vehicle diagnostic test system. For details, see Figure 5, Figure 5 The structure diagram of a vehicle diagnostic test system in one embodiment of the present invention is shown, comprising:

[0093] The data acquisition module M1 is used to respectively acquire historical diagnostic data and software upgrade data of each vehicle component of the target vehicle under different diagnostic processes;

[0094] A first classification assignment module M2, configured to determine a first assignment and a second assignment based on an analysis of the historical diagnostic data under the first process, wherein the first assignment reflects the influence of the proportion of diagnostic instructions under the first process, and the second assignment reflects the influence of the number of faults under the first process;

[0095] A second classification assignment module M3, configured to determine a third assignment and a fourth assignment based on analyzing the software upgrade data in the second process, wherein the third assignment reflects the influence of the number of upgrades in the second process, and the fourth assignment reflects the influence of the number of upgrade failures in the second process;

[0096] A weighted calculation module M4, configured to determine a risk level corresponding to a current vehicle component of the target vehicle according to the first assignment, the second assignment, the third assignment, and the fourth assignment;

[0097] The diagnostic test module M5 is used to perform a diagnostic test on the target vehicle in a pressure diagnostic test mode corresponding to the risk level.

[0098] Another embodiment of the present invention provides a vehicle, characterized in that it includes an on-board processor, an on-board memory, and a vehicle diagnostic test program stored in the on-board memory and configured to be executed by the on-board processor, and when the on-board processor executes the vehicle diagnostic test, the vehicle diagnostic test method such as steps S1 to S4 mentioned above is implemented.

[0099] In some implementations of the present invention, the vehicle may be a plug-in hybrid vehicle, an electric vehicle, a fuel cell vehicle, or other types of vehicles, and its driving type may be automatic driving, semi-automatic driving, or non-automatic driving.

[0100] Accordingly, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to perform the steps in the vehicle diagnostic test method of the above embodiment, for example Figure 1 Steps S1 to S4 described in .

[0101] The technical features and technical effects of the vehicle diagnostic test system proposed in the embodiment of the present invention are the same as the technical features and technical effects of the vehicle diagnostic test method proposed in the embodiment of the present invention, and are not described in detail here.

[0102] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A vehicle diagnostic test method, characterized in that: include: Respectively obtain historical diagnostic data and software upgrade data of each vehicle component of the target vehicle under different diagnostic processes; Based on analyzing the historical diagnostic data under the first process, determining a first assignment and a second assignment respectively, wherein the first assignment reflects the influence of the proportion of diagnostic instructions under the first process, and the second assignment reflects the influence of the number of faults under the first process; Based on analyzing the software upgrade data in the second process, determining a third assignment and a fourth assignment respectively, wherein the third assignment reflects the influence of the number of upgrades in the second process, and the fourth assignment reflects the influence of the number of upgrade failures in the second process; Determining a risk level corresponding to a current vehicle component of the target vehicle according to the first assignment, the second assignment, the third assignment, and the fourth assignment; A diagnostic test is performed on the target vehicle in a stress diagnostic test mode corresponding to the risk level.

2. The vehicle diagnostic test method according to claim 1, characterized in that: The diagnostic process includes: a production line diagnostic process and an after-sales diagnostic process.

3. The vehicle diagnostic test method according to claim 2, characterized in that: The step of respectively acquiring historical diagnostic data and software upgrade data of each vehicle component of the target vehicle in different diagnostic processes includes: By using big data technology, the historical diagnostic data and the software upgrade data are obtained from databases corresponding to the production line diagnostic process and the after-sales diagnostic process, respectively.

4. The vehicle diagnostic test method according to claim 1, characterized in that: The determining, according to the first assignment, the second assignment, the third assignment, and the fourth assignment, a risk level corresponding to a current vehicle component of the target vehicle includes: Based on a preset weight threshold, weighted calculation is performed according to the first assignment, the second assignment, the third assignment, and the fourth assignment to obtain a test weight; When the test weight exceeds the weight threshold, classifying the current vehicle component as a high-risk module; When the test weight is lower than the weight threshold, the current vehicle component is classified as a low-risk module.

5. The vehicle diagnostic test method according to claim 1, characterized in that: The performing a diagnostic test on the target vehicle in a pressure diagnostic test mode corresponding to the risk level includes: During vehicle diagnosis, based on the risk level, high-level stress testing is performed on modules of the target vehicle that are at high risk; Perform low-level stress testing on modules that are at low risk.

6. The vehicle diagnostic test method according to claim 5, characterized in that: The performing a diagnostic test on the target vehicle in a pressure diagnostic test mode corresponding to the risk level further includes: The low-order stress test is performed by simulating the target vehicle to be in a stationary working condition, and the high-order stress test is performed by simulating the target vehicle to be in an extreme working condition; During the stress test, the test pass rate of the target vehicle is calculated to determine the risk level of the test result; According to the risk level, an optimization adjustment strategy corresponding to each vehicle component is formulated.

7. The vehicle diagnostic test method according to claim 1, characterized in that: Before performing diagnostic testing on the target vehicle, the method further includes: Obtaining diagnostic instruction files sent by the target vehicle to various vehicle components at the production line end and the post-sales end; Based on the diagnostic instruction file, using a test analysis tool to obtain a stress test script corresponding to each vehicle component; The stress test script is run to perform the stress diagnosis test.

8. A vehicle diagnostic test system, characterized in that: include: A data acquisition module, used to respectively acquire historical diagnostic data and software upgrade data of each vehicle component of the target vehicle under different diagnostic processes; A first classification assignment module, configured to determine a first assignment and a second assignment based on analyzing the historical diagnostic data under the first process, wherein the first assignment reflects the influence of the proportion of diagnostic instructions under the first process, and the second assignment reflects the influence of the number of faults under the first process; a second classification assignment module, configured to determine a third assignment and a fourth assignment respectively based on analyzing the software upgrade data in the second process, wherein the third assignment reflects the influence of the number of upgrades in the second process, and the fourth assignment reflects the influence of the number of upgrade failures in the second process; a weighted calculation module, configured to determine a risk level corresponding to a current vehicle component of the target vehicle according to the first assignment, the second assignment, the third assignment, and the fourth assignment; The diagnostic test module is used to perform a diagnostic test on the target vehicle in a pressure diagnostic test mode corresponding to the risk level.

9. A vehicle, characterized in that: The vehicle diagnostic test method comprises an on-board processor, an on-board memory, and a vehicle diagnostic test program stored in the on-board memory and configured to be executed by the on-board processor. When the on-board processor executes the vehicle diagnostic test, the vehicle diagnostic test method as claimed in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the vehicle diagnostic test method according to any one of claims 1 to 7 is implemented.

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