Vehicle testing method, device and electronic equipment

Abstract

The embodiment of the present invention provides a vehicle testing method, device and electronic device, the method comprising: obtaining driving-related parameters uploaded by multiple vehicles to a vehicle interconnection system; clustering the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions and determine the operating condition information corresponding to the N operating conditions; and testing the vehicle to be tested based on the operating condition information corresponding to the N operating conditions. Furthermore, the embodiment of the present invention can quickly obtain comprehensive data that can be used to test the vehicle through the vehicle interconnection system without manual collection, thereby efficiently and comprehensively testing the vehicle.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to a vehicle testing method, device and electronic equipment. Background Art

[0002] Usually, new cars need to be tested before they leave the factory to detect problems in a timely manner, reduce vehicle failure rates, and reduce user safety risks.

[0003] At present, data of some test vehicles under various road conditions are collected manually on site, and then the vehicles to be shipped are tested based on the collected data. However, the disadvantages of this method are that on the one hand, the number of vehicles collected is limited, resulting in incomplete testing of the test vehicles; on the other hand, it requires a lot of manpower and reduces test efficiency. Summary of the invention

[0004] An embodiment of the present invention provides a vehicle testing method for testing a vehicle efficiently and comprehensively.

[0005] The embodiment of the present invention also provides a vehicle testing device and electronic equipment to ensure the implementation of the above method.

[0006] In order to solve the above problems, the present invention discloses a vehicle testing method, which includes: obtaining driving-related parameters uploaded by multiple vehicles to a whole-vehicle interconnection system; clustering the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions and determine the operating condition information corresponding to the N operating conditions; and testing the vehicle to be tested based on the operating condition information corresponding to the N operating conditions.

[0007] Optionally, clustering the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions includes: clustering the driving-related parameters uploaded by the multiple vehicles using a K-nearest neighbor algorithm to obtain N operating conditions.

[0008] Optionally, determining the operating condition information corresponding to the N operating conditions includes: for each operating condition, using driving-related parameters belonging to the operating condition to generate the operating condition information corresponding to the operating condition.

[0009] Optionally, the driving-related parameters include: vehicle speed, vehicle speed collection time, torque and torque collection time; the operating conditions include at least one of the following: low-speed and high-torque conditions, medium-speed and high-torque conditions, high-speed and high-torque conditions, low-speed and low-torque conditions, medium-speed and low-torque conditions, and high-speed and low-torque conditions; the operating condition information includes: vehicle speed information and torque information.

[0010] Optionally, the operating condition information includes: vehicle speed information and torque information; the testing of the vehicle to be tested based on the operating condition information corresponding to the N operating conditions includes: for each operating condition, determining a slope parameter based on the operating condition information corresponding to the operating condition and vehicle design parameters of the vehicle corresponding to the operating condition; obtaining the vehicle design parameters of the vehicle to be tested, and determining torque test information for testing the vehicle to be tested based on the vehicle speed information, slope parameter and vehicle design parameters of the vehicle to be tested in the operating condition information corresponding to the operating condition; testing the vehicle to be tested based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the vehicle to be tested.

[0011] Optionally, the testing of the vehicle to be tested based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the testing of the vehicle to be tested includes: determining the total mileage corresponding to the N operating conditions based on the vehicle speed information in the operating condition information corresponding to the N operating conditions; obtaining the target mileage corresponding to the mileage life of the vehicle to be tested; determining the target number of cycles of the vehicle to be tested based on the target mileage and the total mileage; and performing the target number of cycles of the vehicle to be tested based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the testing of the vehicle to be tested.

[0012] Optionally, the multiple vehicles include M types of models; clustering the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions includes: for each type of model, clustering the driving-related parameters uploaded by vehicles of the model to obtain N operating conditions corresponding to the model; testing the vehicle to be tested based on the operating condition information corresponding to the N operating conditions includes: determining a target model corresponding to the vehicle to be tested, and searching for a model matching the target model from the M models; testing the vehicle to be tested based on the operating condition information of the N operating conditions corresponding to the model matching the target model.

[0013] Optionally, the multiple vehicles include vehicles from K regions; the clustering of driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions includes: for each region, clustering the driving-related parameters uploaded by vehicles in the region to obtain N operating conditions corresponding to the region; the testing of the vehicle to be tested based on the operating condition information corresponding to the N operating conditions includes: determining a target region to be deployed corresponding to the vehicle to be tested, and searching for a region matching the target region from the K regions; the testing of the vehicle to be tested based on the operating condition information of the N operating conditions corresponding to the region matching the target region.

[0014] Optionally, the obtaining of driving-related parameters uploaded by a plurality of vehicles connected to the whole-vehicle interconnection system includes: periodically obtaining driving-related parameters uploaded by a plurality of vehicles to the whole-vehicle interconnection system.

[0015] An embodiment of the present invention also provides a vehicle testing device, which includes: a parameter acquisition module, used to obtain driving-related parameters uploaded by multiple vehicles to the whole vehicle interconnection system; a working condition determination module, used to cluster the driving-related parameters uploaded by the multiple vehicles, obtain N working conditions and determine the working condition information corresponding to the N working conditions; a testing module, used to test the vehicle to be tested based on the working condition information corresponding to the N working conditions.

[0016] Optionally, the operating condition determination module includes: a clustering submodule, which is used to cluster the driving-related parameters uploaded by the multiple vehicles using a K-nearest neighbor algorithm to obtain N operating conditions.

[0017] Optionally, the operating condition determination module includes: an operating condition information determination submodule, which is used to generate operating condition information corresponding to each operating condition by using driving-related parameters belonging to the operating condition.

[0018] Optionally, the driving-related parameters include: vehicle speed, vehicle speed collection time, torque and torque collection time; the operating conditions include at least one of the following: low-speed and high-torque conditions, medium-speed and high-torque conditions, high-speed and high-torque conditions, low-speed and low-torque conditions, medium-speed and low-torque conditions, and high-speed and low-torque conditions; the operating condition information includes: vehicle speed information and torque information.

[0019] Optionally, the operating condition information includes: vehicle speed information and torque information; the test module includes: a slope determination submodule, used to determine the slope parameter for each operating condition based on the operating condition information corresponding to the operating condition and the vehicle design parameters of the vehicle corresponding to the operating condition; a torque test information determination submodule, used to obtain the vehicle design parameters of the vehicle to be tested, and determine the torque test information for testing the vehicle to be tested based on the vehicle speed information, slope parameters and vehicle design parameters of the vehicle to be tested in the operating condition information corresponding to the operating condition; a vehicle test submodule, used to test the vehicle to be tested based on the vehicle speed information in the working condition information corresponding to the N types of operating conditions and the torque test information corresponding to the vehicle to be tested.

[0020] Optionally, the vehicle testing submodule is used to determine the total mileage corresponding to the N operating conditions based on the vehicle speed information in the operating condition information corresponding to the N operating conditions; obtain the target mileage corresponding to the mileage life of the vehicle to be tested; based on the target mileage and the total mileage, determine the target number of cycles of the vehicle to be tested; based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the vehicle to be tested, perform the target number of cycles of the vehicle to be tested.

[0021] Optionally, the multiple vehicles include M types of vehicles; the clustering submodule is used to cluster the driving related parameters uploaded by the vehicles of each type of vehicle to obtain N working conditions corresponding to the vehicle type; the test module includes: a vehicle type matching test submodule, used to determine the target vehicle type corresponding to the vehicle to be tested, and search for a vehicle type that matches the target vehicle type from the M types of vehicles; based on the working condition information of the N working conditions corresponding to the vehicle type that matches the target vehicle type, the vehicle to be tested is tested.

[0022] Optionally, the multiple vehicles include vehicles from K regions; the clustering submodule is used to cluster the driving related parameters uploaded by the vehicles in each region, and obtain N operating conditions corresponding to the region; the test module includes: a region matching test submodule, used to determine the target region to be deployed corresponding to the vehicle to be tested, and to search for a region matching the target region from the K regions; based on the operating condition information of the N operating conditions corresponding to the region matching the target region, the vehicle to be tested is tested.

[0023] Optionally, the parameter acquisition module is used to periodically acquire driving-related parameters uploaded by multiple vehicles to the vehicle interconnection system.

[0024] An embodiment of the present invention further provides a readable storage medium. When instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute the vehicle testing method as described in any one of the embodiments of the present invention.

[0025] An embodiment of the present invention also provides an electronic device, comprising a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors, including for executing a vehicle testing method as described in any one of the embodiments of the present invention.

[0026] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0027] In an embodiment of the present invention, driving-related parameters uploaded by multiple vehicles connected to the whole-vehicle interconnection system can be obtained; then, the driving-related parameters uploaded by the multiple vehicles are clustered to obtain N operating conditions and determine the operating condition information corresponding to the N operating conditions; then, based on the operating condition information corresponding to the N operating conditions, the test vehicle is tested; since a large number of mass-produced vehicles are connected to the whole-vehicle interconnection system and the corresponding driving-related parameters are uploaded to the whole-vehicle interconnection system; and thus, the embodiment of the present invention can quickly obtain comprehensive data that can be used to test the vehicle through the whole-vehicle interconnection system without manual collection, thereby efficiently and comprehensively testing the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a flow chart of steps of an embodiment of a vehicle testing method of the present invention;

[0029] Figure 2 is a flowchart of steps of an optional embodiment of a vehicle testing method of the present invention;

[0030] Figure 3 is a flowchart of steps of another optional embodiment of a vehicle testing method of the present invention;

[0031] Figure 4 is a flowchart of steps of another optional embodiment of a vehicle testing method of the present invention;

[0032] Figure 5 is a structural block diagram of an embodiment of a vehicle testing device of the present invention;

[0033] Figure 6 It is a structural block diagram of an optional embodiment of a vehicle testing device of the present invention. DETAILED DESCRIPTION

[0034] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0035] At present, a large number of mass-produced vehicles are connected to the vehicle interconnection system. These vehicles connected to the vehicle interconnection system can actively or passively upload the data associated with the vehicle to the vehicle interconnection system, and the vehicle interconnection system stores the data associated with the vehicle; and uses the data associated with the vehicle with the permission of the vehicle owner. Among them, the data associated with the vehicle can include multiple types, such as driving related parameters, etc., which are not limited in the embodiments of the present invention.

[0036] On the basis of the above, one of the core concepts of an embodiment of the present invention is to obtain driving-related parameters of multiple vehicles based on the vehicle interconnection system to integrate the vehicle's operating conditions and the operating condition information corresponding to various operating conditions; then, based on the operating condition information corresponding to various operating conditions, the test vehicle is tested; and thus, comprehensive data for testing the vehicle can be quickly obtained without manual collection, thereby efficiently and comprehensively testing the vehicle.

[0037] Reference Figure 1 , showing a step flow chart of an embodiment of a vehicle testing method of the present invention.

[0038] Step 102: Obtain driving-related parameters uploaded by multiple vehicles to the vehicle interconnection system.

[0039] Step 104: cluster the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions and determine the operating condition information corresponding to the N operating conditions.

[0040] Step 106: Test the vehicle to be tested based on the operating condition information corresponding to the N operating conditions.

[0041] In an embodiment of the present invention, the vehicle may actively upload the corresponding driving-related parameters to the vehicle interconnection system; or the vehicle interconnection system may send an information acquisition request to the vehicle, and the vehicle may upload the corresponding driving-related parameters to the vehicle interconnection system after receiving the owner's confirmation instruction.

[0042] In the embodiment of the present invention, steps 102 to 106 may be performed by a test platform that tests the vehicle to be tested. Furthermore, when the test platform needs to test the vehicle to be tested, it may obtain driving-related parameters uploaded to the vehicle interconnection system by multiple vehicles connected to the vehicle interconnection system from the vehicle interconnection system; the driving-related parameters may include parameters related to driving, such as the speed of the vehicle, the torque output during the vehicle driving process, etc., which are not limited in the embodiment of the present invention.

[0043] Then, clustering processing can be performed based on the driving-related parameters uploaded by these multiple vehicles to determine N operating conditions. Among them, N can be a positive integer, and the specific value of N can be determined according to demand, that is, the number of operating conditions that need to be divided can be determined according to demand. Then, based on the clustering results, the operating condition information corresponding to these N operating conditions can be determined; the operating condition information may include information required for testing the vehicle to be tested, and may include driving-related parameters; it may also include other parameters determined based on the driving-related parameters, and the embodiment of the present invention does not limit this. Subsequently, the vehicle to be tested can be tested based on the operating condition information of the N operating conditions.

[0044] Of course, in the embodiment of the present invention, the vehicle interconnection system can cluster the driving-related parameters uploaded by multiple vehicles to obtain N operating conditions and determine the operating condition information corresponding to the N operating conditions; then the test platform obtains the operating condition information corresponding to the N operating conditions from the vehicle interconnection system, and tests the test vehicle based on the operating condition information corresponding to the N operating conditions. That is, the vehicle interconnection system can execute steps 102 to 104, and the test platform can execute step 106.

[0045] In summary, in the embodiment of the present invention, driving-related parameters uploaded by multiple vehicles connected to the whole-vehicle interconnection system can be obtained; then, the driving-related parameters uploaded by the multiple vehicles are clustered to obtain N operating conditions and the operating condition information corresponding to the N operating conditions is determined, and then based on the operating condition information corresponding to the N operating conditions, the test vehicle is tested; since a large number of mass-produced vehicles are connected to the whole-vehicle interconnection system and the corresponding driving-related parameters are uploaded to the whole-vehicle interconnection system; and thus, the embodiment of the present invention can quickly obtain comprehensive data that can be used to test the vehicle through the whole-vehicle interconnection system without manual collection, thereby efficiently and comprehensively testing the vehicle.

[0046] In an optional embodiment of the present invention, the driving-related parameters include: vehicle speed, vehicle speed collection time, torque and torque collection time; the operating condition may include at least one of the following: low-speed high-torque operating condition, medium-speed high-torque, high-speed high-torque operating condition, low-speed low-torque operating condition, medium-speed low-torque, high-speed low-torque operating condition; the operating condition information may include: vehicle speed information and torque information. Among them, the vehicle speed information may include multiple vehicle speeds, multiple vehicle speed collection times, and a first relationship between vehicle speed and vehicle speed collection time; the torque information may include multiple torques, multiple torque collection times, and a second relationship between torque and torque collection time. Of course, the driving-related parameters may also include other parameters such as vehicle design parameters, vehicle model information, regional information, etc., the operating condition may also include other operating conditions such as medium-speed medium-torque operating conditions, etc.; and the operating condition information may also include other information; the embodiments of the present invention are not limited to this.

[0047] The following describes how to test the test vehicle.

[0048] Reference Figure 2 , showing a step flow chart of an optional embodiment of a vehicle testing method of the present invention.

[0049] Step 202: Acquire driving-related parameters uploaded to the vehicle interconnection system by multiple vehicles.

[0050] In an embodiment of the present invention, a vehicle connected to the vehicle interconnection system can collect the vehicle's own speed and speed collection time, torque and torque collection time during driving; and then upload the vehicle speed, speed collection time, torque and torque collection time as driving-related parameters to the vehicle interconnection system.

[0051] Among them, the wheel speed can be collected by the vehicle's speed sensor, and then the vehicle speed can be calculated based on the speed; and the torque output by the vehicle's drive unit can be collected by the torque sensor; then the vehicle speed and speed collection time, torque and torque collection time are uploaded to the vehicle interconnection system through the vehicle's T-BOX (TelematicsBOX, telematics processor). Among them, the vehicle speed collection time can refer to the wheel speed collection time.

[0052] Step 204: cluster the driving-related parameters uploaded by the multiple vehicles using a K-nearest neighbor algorithm to obtain N operating conditions.

[0053] In the embodiment of the present invention, clustering can be performed based on vehicle speed and torque in the driving-related parameters to determine N types of operating conditions.

[0054] In one example of the present invention, a method of clustering the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions may be: clustering the driving-related parameters uploaded by the multiple vehicles using a K-nearest neighbor algorithm to obtain N operating conditions. A specific implementation method may include the following sub-steps:

[0055] Sub-step S62: setting N cluster centers.

[0056] In the embodiment of the present invention, N cluster centers may be set according to the categories of the operating conditions to be divided and various operating condition characteristics.

[0057] Sub-step S64: determining a plurality of samples based on the driving-related parameters uploaded by a plurality of vehicles, and calculating the distance between each sample and the N cluster centers respectively.

[0058] In an embodiment of the present invention, for each vehicle, the driving-related parameters uploaded by the vehicle can be divided into multiple sets to obtain multiple parameter sets, wherein each parameter set may include multiple groups of driving-related parameters within a continuous time, wherein the vehicle speed and torque corresponding to the same time may form a group of driving-related parameters; that is, a group of driving-related parameters may include: vehicle speed, vehicle speed collection time, torque, and torque collection time; wherein the vehicle speed collection time and the torque collection time in a group of driving-related parameters are the same.

[0059] For each vehicle, the operating conditions corresponding to the multiple parameter sets corresponding to the vehicle can be determined according to the characteristics of N operating conditions, and a parameter set corresponding to one operating condition can be used as a sample. In which, each vehicle can correspond to multiple parameter sets under one operating condition.

[0060] Then, the distance between each sample and the N cluster centers may be calculated respectively; wherein the distance may include multiple distances such as Euclidean distance, Manhattan distance, etc., which is not limited in the embodiment of the present invention.

[0061] Sub-step S66: for each sample, determine the cluster center with the shortest distance from the sample, and divide the sample into the cluster set corresponding to the cluster center.

[0062] For each sample, determine the cluster center with the smallest distance to the sample, and divide the sample into the cluster set corresponding to the cluster center; thus, N cluster sets can be obtained.

[0063] Sub-step S68: for each cluster set, the cluster center of the cluster set may be recalculated, and it is determined whether the distance between the recalculated cluster center and the original cluster center is less than a threshold.

[0064] For each cluster set, the cluster center of the cluster set can be recalculated, and it is determined whether the distance between the recalculated cluster center and the original cluster center is less than a threshold. If there is at least one cluster set whose recalculated cluster center is greater than the threshold from the original cluster center, sub-step S66 can be executed, and for each sample, the recalculated cluster center with the smallest distance from the sample is determined, and the sample is divided into the cluster set corresponding to the recalculated cluster center, and sub-step S68 is executed. If the distance between the recalculated cluster center of all sets and the original cluster center is less than or equal to the threshold, clustering can be stopped. The threshold can be set as required, and the embodiment of the present invention does not limit this.

[0065] Step 206: For each working condition, use the driving-related parameters belonging to the working condition to generate working condition information corresponding to the working condition.

[0066] After clustering to obtain N working conditions in the above manner, for each working condition, the samples belonging to the working condition can be determined, that is, the samples in the cluster set corresponding to the working condition, that is, the parameter set, which includes driving-related parameters. Then, the parameter set belonging to the working condition can be used to generate the working condition information corresponding to the working condition. Among them, each parameter set in the working condition can be aligned based on time; and based on the vehicle speed collection time in each group of driving-related parameters in each parameter set, the vehicle speed in each group of driving-related parameters in each parameter set is aligned; and for each vehicle speed collection time, the average vehicle speed corresponding to the vehicle speed collection time is calculated. And based on the torque collection time in each group of driving-related parameters in each parameter set, the torque in each group of driving-related parameters in each parameter set can be aligned; and for each torque collection time, the average torque corresponding to the torque collection time is calculated. Then, the average vehicle speed and average torque corresponding to each time of all groups of driving-related parameters in each parameter set of the working condition can be obtained. Then, the average vehicle speed and each vehicle speed collection time corresponding to all groups of driving associated parameters in each parameter set at each vehicle speed collection time can be used as the vehicle speed information corresponding to the working condition; and the average torque and each torque collection time corresponding to all groups of driving associated parameters in each parameter set at each torque collection time can be used as the working condition information corresponding to the working condition.

[0067] Step 208: For each operating condition, determine a slope parameter based on the operating condition information corresponding to the operating condition and the vehicle design parameters of the vehicle corresponding to the operating condition.

[0068] Step 210: Obtain vehicle design parameters of the vehicle to be tested, and determine torque test information for testing the vehicle to be tested based on the vehicle speed information, slope parameters in the working condition information corresponding to the working condition, and the vehicle design parameters of the vehicle to be tested.

[0069] Step 212: Test the vehicle to be tested based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the vehicle to be tested.

[0070] In the embodiment of the present invention, different vehicles require different torques when accelerating or decelerating to the same speed; therefore, the torque test information of the vehicle to be tested under various working conditions can be determined first; then, based on the vehicle speed information in the working condition information corresponding to the N working conditions, and the torque test information of the vehicle to be tested under various working conditions, the vehicle to be tested is tested.

[0071] The torque test information may refer to torque information used to test the vehicle to be tested, and the torque test information may include: multiple torques, times corresponding to the multiple torques, and a third relationship between the torques and the corresponding times.

[0072] In one example, torque test information can be calculated based on the car equation. The car equation describes the relationship between the vehicle's torque, speed, acceleration, slope parameters of the road the vehicle is currently on, and vehicle design parameters; therefore, for each working condition, the slope parameter can be determined based on the vehicle speed information in the working condition information corresponding to the working condition and the vehicle design parameters of the vehicle corresponding to the working condition. The acceleration information corresponding to the working condition can be calculated based on the vehicle speed information in the working condition information corresponding to the working condition; then the slope parameter is calculated based on the acceleration information corresponding to the working condition, the vehicle speed information in the working condition information corresponding to the working condition, and the torque information in the working condition information corresponding to the working condition. The vehicle design parameters can include parameters related to vehicle design, such as reducer reduction ratio, transmission efficiency, wheel radius, vehicle gravity, rolling resistance coefficient, air resistance coefficient, vehicle frontal area, vehicle weight, rotational mass conversion coefficient, etc.

[0073] Then, the vehicle design parameters of the vehicle to be tested are obtained; and based on the automobile equation, the torque test information for testing the vehicle to be tested is determined according to the vehicle speed information in the working condition information corresponding to the working condition, the acceleration information in the working condition information corresponding to the working condition, the slope parameter and the vehicle design parameters of the vehicle to be tested.

[0074] In one example, the car equation may be as follows:

[0075]

[0076] Where: T tq is the torque, i g is the reduction ratio of the reducer, η T Transmission efficiency, r wheel radius, G vehicle gravity, f rolling resistance coefficient, C D Air resistance coefficient, A is the frontal area of ​​the vehicle, i is the slope, is the vehicle speed, δ is the rotation mass conversion factor, m is the vehicle weight, is the acceleration.

[0077] Then, for each working condition, the vehicle speed information in the working condition information corresponding to the working condition and the torque test information corresponding to the working condition for testing the vehicle to be tested can be used to test the vehicle to be tested. The step 212 can be divided into the following sub-steps:

[0078] Step S82: Determine the total mileage corresponding to the N operating conditions based on the vehicle speed information in the operating condition information corresponding to the N operating conditions.

[0079] Step S84, obtaining the target mileage corresponding to the mileage life of the vehicle to be tested;

[0080] Step S86: Based on the target mileage and the total mileage, determine the target number of cycles of the cyclic test required for the vehicle to be tested.

[0081] Step S88: Based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the vehicle to be tested, perform the target round of cyclic testing on the vehicle to be tested.

[0082] In an embodiment of the present invention, for each operating condition, the mileage corresponding to the operating condition can be obtained by integrating the vehicle speed over time based on the vehicle speed information in the operating condition information corresponding to the operating condition; then the mileage corresponding to various operating conditions is added together to obtain the total mileage corresponding to N operating conditions.

[0083] Each vehicle to be tested is set with a mileage life, and the target mileage corresponding to the mileage life of the vehicle to be tested can be obtained; then, based on the target mileage and the total mileage, the target number of cycles of the vehicle to be tested is determined. Among them, the target number of cycles can be determined by dividing the target mileage by the total mileage. Then, based on the vehicle speed information in the working condition information corresponding to the N working conditions and the torque test information used to test the vehicle to be tested, the vehicle to be tested can be subjected to the target number of cycles. Among them, using the vehicle speed information in the working condition information corresponding to each working condition in the N working conditions and the torque test information corresponding to the vehicle to be tested to complete the test of the vehicle to be tested can be called completing a round of testing on the vehicle to be tested.

[0084] In summary, in the embodiment of the present invention, the K-nearest neighbor algorithm can be used to cluster the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions, thereby accurately dividing the various operating conditions.

[0085] Secondly, in an embodiment of the present invention, for each working condition, a slope parameter can be determined based on the working condition information corresponding to the working condition and the vehicle design parameters of the vehicle corresponding to the working condition; then, the vehicle design parameters of the vehicle to be tested are obtained, and based on the vehicle speed information, the slope parameter and the vehicle design parameters of the vehicle to be tested in the working condition information corresponding to the working condition, the torque test information for testing the vehicle to be tested is determined; and then, the test torque suitable for the vehicle to be tested can be determined; and then, based on the vehicle speed information in the working condition information corresponding to the N kinds of working conditions and the torque test information corresponding to the vehicle to be tested, the vehicle to be tested is tested; thereby improving the accuracy of the test data and being adaptable to the testing of various different vehicles.

[0086] Furthermore, in an embodiment of the present invention, the total mileage corresponding to the N operating conditions can be determined based on the vehicle speed information in the operating condition information corresponding to the N operating conditions, and the target mileage corresponding to the mileage life of the vehicle to be tested can be obtained; then, based on the target mileage and the total mileage, the target number of cycles of the vehicle to be tested is determined, and based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the vehicle to be tested, the vehicle to be tested is subjected to the target number of cycles of testing; and then, by using the determined operating condition information of the N operating conditions to cyclically test the vehicle to be tested, it is determined whether it is necessary to adjust the vehicle design parameters to improve the vehicle design parameters of the vehicle to be tested, thereby ensuring that the vehicle can reach or exceed the corresponding mileage life after mass production.

[0087] Different models may have different corresponding working condition information under the same working condition. In order to further improve the accuracy of vehicle testing, it is possible to determine the N working conditions corresponding to each model and the working condition information corresponding to each vehicle in the N working conditions. This can be as follows:

[0088] Reference Figure 3 , showing a step flow chart of another optional embodiment of a vehicle testing method of the present invention.

[0089] Step 302: Acquire driving-related parameters uploaded to the vehicle interconnection system by multiple vehicles; the multiple vehicles include M types of vehicles.

[0090] Among them, M can be a positive integer, and the specific data of M can be set according to requirements, which is not limited in the embodiment of the present invention.

[0091] The clustering of the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions may include step 304:

[0092] Step 304: for each vehicle model, cluster the driving-related parameters uploaded by the vehicle of the vehicle model to obtain N operating conditions corresponding to the vehicle model.

[0093] In the embodiment of the present invention, N operating conditions can be clustered for each vehicle type. Among them, the driving related parameters uploaded by the vehicle corresponding to each vehicle type can be used to cluster the N operating conditions corresponding to this vehicle type according to the above sub-steps S62 to S68. No further details will be given here.

[0094] Step 306: for each vehicle type, determine the operating condition information corresponding to the N operating conditions of the vehicle type.

[0095] Then, referring to the above step 206 , the operating condition information corresponding to the N operating conditions corresponding to each vehicle type can be determined; no further details will be given here.

[0096] The testing of the vehicle to be tested based on the operating condition information corresponding to the N operating conditions may include steps 308 to 310:

[0097] Step 308: Determine the target vehicle model corresponding to the vehicle to be tested, and search for a vehicle model that matches the target vehicle model from the M types of vehicle models.

[0098] Step 310: Testing the vehicle to be tested based on the operating condition information of the N operating conditions corresponding to the vehicle type that matches the target vehicle type.

[0099] In the embodiment of the present invention, the target vehicle model corresponding to the vehicle to be tested can be determined first; then, a vehicle model matching the target vehicle model can be found from the M vehicle models corresponding to the vehicle that has uploaded the driving-related parameters. Then, based on the operating condition information of the N operating conditions corresponding to the vehicle model matching the target vehicle model, the vehicle to be tested is tested; the corresponding test method can refer to the above steps 208 to 212, which will not be described in detail here.

[0100] Among them, the method of searching for a model matching the target model from the M models may be to first search whether there is a model identical to the target model from the M models; if there is a model identical to the target model, the model identical to the target model may be determined as the model matching the target model. If there is no model identical to the target model, the similarity between each model in the M models and the target model may be calculated; and the model with the highest degree of similarity to the target model may be determined as the model matching the target model.

[0101] In summary, in the embodiments of the present invention, for each vehicle model, the driving-related parameters uploaded by the vehicle model can be clustered to obtain N operating conditions corresponding to the vehicle model; then, in the process of testing the vehicle to be tested, the target vehicle model corresponding to the vehicle to be tested can be determined, and a vehicle model matching the target vehicle model can be found from the M vehicle models; then, based on the operating condition information of the N operating conditions corresponding to the vehicle model matching the target vehicle model, the vehicle to be tested is tested; and then, the operating condition information that better matches the vehicle to be tested can be used to test the vehicle to be tested, which can improve the accuracy of the vehicle test.

[0102] The working conditions in different regions may be different. In order to further improve the accuracy of vehicle testing, N working conditions corresponding to each region can be determined, and the working condition information corresponding to the N working conditions in each region can be determined. Then, the working condition information corresponding to the area to be deployed for the vehicle to be tested can be used to test the vehicle to be tested. This can be as follows:

[0103] Reference Figure 4 , showing a step flow chart of another optional embodiment of a vehicle testing method of the present invention.

[0104] Step 402: Acquire driving-related parameters uploaded to the vehicle interconnection system by multiple vehicles; the multiple vehicles include vehicles in K regions.

[0105] Here, K may be a positive integer, and the specific data of K may be set as required, which is not limited in the embodiment of the present invention.

[0106] The clustering of the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions may include step 404:

[0107] Step 404: for each region, cluster the driving-related parameters uploaded by the vehicles in the region to obtain N types of working conditions corresponding to the region.

[0108] In an embodiment of the present invention, N operating conditions can be clustered for each region respectively; wherein, the driving-related parameters uploaded by vehicles in each region can be used to cluster the N operating conditions corresponding to the region according to the above-mentioned sub-steps S62 to S68; no further details will be given here.

[0109] Step 406: For each region, determine the operating condition information corresponding to the N types of operating conditions in the region.

[0110] Then, referring to the above step 206 , the operating condition information corresponding to the N types of operating conditions corresponding to each region can be determined; no further details will be given here.

[0111] The testing of the vehicle to be tested based on the operating condition information corresponding to the N operating conditions may include steps 408 to 410:

[0112] Step 408: Determine the target area to be deployed corresponding to the vehicle to be tested, and search for an area matching the target area from the K areas.

[0113] Step 410: Testing the vehicle to be tested based on the operating condition information of the N operating conditions corresponding to the area matching the target area.

[0114] In the embodiment of the present invention, the target area to be deployed corresponding to the vehicle to be tested can be determined first; then, the area matching the target area can be found from the K areas corresponding to the vehicle that uploaded the driving-related parameters. Then, based on the working condition information of the N working conditions corresponding to the area matching the target area, the vehicle to be tested is tested; the corresponding test method can refer to the above steps 208 to 212, which will not be repeated here.

[0115] Among them, the method of searching for a region matching the target region from the K regions may be to first search whether there is a region identical to the target region from the K regions; if there is a region identical to the target region, the region identical to the target region may be determined as the region matching the target region. If there is no region identical to the target region, the similarity between the traffic environment information of each region and the traffic environment information of the target region may be calculated; and the region whose traffic environment information is most similar to the traffic environment information of the target region may be determined as the region matching the target region.

[0116] In summary, in an embodiment of the present invention, for each region, the driving-related parameters uploaded by the vehicles in the region can be clustered to obtain N operating conditions corresponding to the region; and then in the process of testing the vehicle to be tested, the target region to be deployed corresponding to the vehicle to be tested can be determined, and the vehicle to be tested can be tested based on the operating condition information of the N operating conditions corresponding to the region matching the target region; and then more accurate operating condition information can be used to test the vehicle to be tested, which can improve the accuracy of vehicle testing.

[0117] In an embodiment of the present invention, the driving-related parameters uploaded to the vehicle interconnection system by multiple vehicles can be periodically obtained; and after the driving-related parameters uploaded to the vehicle interconnection system by multiple vehicles are obtained in each period, the above steps 104 to 106, or steps 204 to 212, or steps 304 to 310, or steps 404 to 410 can be executed; thereby, the working condition information used to test the vehicle can be continuously updated and corrected; and the accuracy of vehicle testing can be further improved.

[0118] It should be noted that, for the sake of simplicity, the method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0119] Reference Figure 5 , shows a structural block diagram of an embodiment of a vehicle testing device of the present invention, which may specifically include the following modules:

[0120] The parameter acquisition module 502 is used to acquire the driving related parameters uploaded by multiple vehicles to the vehicle interconnection system;

[0121] The operating condition determination module 504 is used to cluster the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions and determine the operating condition information corresponding to the N operating conditions;

[0122] The testing module 506 is used to test the vehicle to be tested based on the operating condition information corresponding to the N operating conditions.

[0123] Reference Figure 6 , shows a structural block diagram of an optional embodiment of a vehicle testing device of the present invention, which may specifically include the following modules:

[0124] In an optional embodiment of the present invention, the operating condition determination module 504 includes:

[0125] The clustering submodule 5042 is used to cluster the driving-related parameters uploaded by the multiple vehicles using a K-nearest neighbor algorithm to obtain N types of working conditions.

[0126] In an optional embodiment of the present invention, the operating condition determination module 504 includes:

[0127] The working condition information determination submodule 5044 is used to generate working condition information corresponding to each working condition by using the driving associated parameters belonging to the working condition.

[0128] In an optional embodiment of the present invention, the driving-related parameters include: vehicle speed, vehicle speed collection time, torque and torque collection time; the operating conditions include at least one of the following: low-speed and high-torque conditions, medium-speed and high-torque conditions, high-speed and high-torque conditions, low-speed and low-torque conditions, medium-speed and low-torque conditions, and high-speed and low-torque conditions; the operating condition information includes: vehicle speed information and torque information.

[0129] In an optional embodiment of the present invention, the operating condition information includes: vehicle speed information and torque information; the test module 506 includes:

[0130] A slope determination submodule 5062 is used to determine a slope parameter for each operating condition based on operating condition information corresponding to the operating condition and a vehicle design parameter of the vehicle corresponding to the operating condition;

[0131] The torque test information determination submodule 5064 is used to obtain the vehicle design parameters of the vehicle to be tested, and determine the torque test information for testing the vehicle to be tested based on the vehicle speed information and the slope parameter in the working condition information corresponding to the working condition and the vehicle design parameters of the vehicle to be tested;

[0132] The vehicle testing submodule 5066 is used to test the vehicle to be tested based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the vehicle to be tested.

[0133] In an optional embodiment of the present invention, the vehicle testing submodule 5066 is used to determine the total mileage corresponding to the N operating conditions based on the vehicle speed information in the operating condition information corresponding to the N operating conditions; obtain the target mileage corresponding to the mileage life of the vehicle to be tested; based on the target mileage and the total mileage, determine the target number of cycles required to perform cyclic tests on the vehicle to be tested; based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the vehicle to be tested, perform the target number of cycles on the vehicle to be tested.

[0134] In an optional embodiment of the present invention, the plurality of vehicles include M types of vehicles; the clustering submodule 5042 is used to cluster the driving-related parameters uploaded by the vehicles of each type of vehicle to obtain N types of operating conditions corresponding to the vehicle type;

[0135] The test module 506 includes:

[0136] The vehicle model matching test submodule 5068 is used to determine the target vehicle model corresponding to the vehicle to be tested, and search for a vehicle model that matches the target vehicle model from the M vehicle models; based on the operating condition information of the N operating conditions corresponding to the vehicle model that matches the target vehicle model, the vehicle to be tested is tested.

[0137] In an optional embodiment of the present invention, the plurality of vehicles include vehicles in K regions; the clustering submodule 5042 is used to cluster the driving-related parameters uploaded by the vehicles in each region to obtain N operating conditions corresponding to the region;

[0138] The test module 506 includes: a region matching test submodule 50610, which is used to determine the target region to be deployed corresponding to the vehicle to be tested, and to search for a region matching the target region from the K regions; based on the operating condition information of the N operating conditions corresponding to the region matching the target region, the vehicle to be tested is tested.

[0139] In an optional embodiment of the present invention, the parameter acquisition module 502 is used to periodically acquire the driving-related parameters uploaded to the vehicle interconnection system by multiple vehicles.

[0140] In summary, in the embodiment of the present invention, driving-related parameters uploaded by multiple vehicles connected to the whole-vehicle interconnection system can be obtained; then, the driving-related parameters uploaded by the multiple vehicles are clustered to obtain N operating conditions and the operating condition information corresponding to the N operating conditions is determined, and then based on the operating condition information corresponding to the N operating conditions, the test vehicle is tested; since a large number of mass-produced vehicles are connected to the whole-vehicle interconnection system and the corresponding driving-related parameters are uploaded to the whole-vehicle interconnection system; and thus, the embodiment of the present invention can quickly obtain comprehensive data that can be used to test the vehicle through the whole-vehicle interconnection system without manual collection, thereby efficiently and comprehensively testing the vehicle.

[0141] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0142] An embodiment of the present invention also provides a vehicle, comprising a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors, including for executing a vehicle testing method as described in any one of the embodiments of the present invention.

[0143] An embodiment of the present invention further provides a readable storage medium. When instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute the vehicle testing method as described in any one of the embodiments of the present invention.

[0144] An embodiment of the present invention also provides an electronic device, comprising a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors, including for executing a vehicle testing method as described in any one of the embodiments of the present invention.

[0145] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0146] It will be appreciated by those skilled in the art that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0147] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0148] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0149] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0150] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0151] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0152] The vehicle testing method, the vehicle testing device and the electronic device provided by the present invention are introduced in detail above. The principle and implementation mode of the present invention are explained by using specific examples in this article. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and the scope of application. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A vehicle testing method, characterized in that: include: Obtain driving-related parameters uploaded by multiple vehicles to the vehicle interconnection system; Clustering the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions and determining operating condition information corresponding to the N operating conditions; wherein the operating condition information includes: vehicle speed information and torque information; Based on the operating condition information corresponding to the N operating conditions, testing the vehicle to be tested; The testing of the vehicle to be tested based on the operating condition information corresponding to the N operating conditions includes: For each operating condition, determining a slope parameter based on operating condition information corresponding to the operating condition and a vehicle design parameter of the vehicle corresponding to the operating condition; Acquire vehicle design parameters of the vehicle to be tested, and determine torque test information for testing the vehicle to be tested based on vehicle speed information, slope parameters in the working condition information corresponding to the working condition, and the vehicle design parameters of the vehicle to be tested; Testing the vehicle to be tested based on the vehicle speed information in the working condition information corresponding to the N working conditions and the torque test information corresponding to the vehicle to be tested; The testing of the vehicle to be tested based on the vehicle speed information in the working condition information corresponding to the N working conditions and the torque test information corresponding to the vehicle to be tested includes: Determining the total mileage corresponding to the N operating conditions based on the vehicle speed information in the operating condition information corresponding to the N operating conditions; Obtaining a target mileage corresponding to the mileage life of the vehicle to be tested; Based on the target mileage and the total mileage, determining a target number of cycles of cyclic testing required for the vehicle to be tested; Based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the vehicle to be tested, the target round of cyclic tests are performed on the vehicle to be tested.

2. The method according to claim 1, characterized in that The clustering of the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions includes: The K-nearest neighbor algorithm is used to cluster the driving-related parameters uploaded by the multiple vehicles to obtain N operating conditions.

3. The method according to claim 1, characterized in that The determining the operating condition information corresponding to the N operating conditions includes: For each operating condition, driving-related parameters belonging to the operating condition are used to generate operating condition information corresponding to the operating condition.

4. The method according to claim 1, characterized in that The driving-related parameters include: vehicle speed, vehicle speed acquisition time, torque and torque acquisition time; The operating conditions include at least one of the following: low speed and high torque operating condition, medium speed and high torque operating condition, high speed and high torque operating condition, low speed and low torque operating condition, medium speed and low torque operating condition, high speed and low torque operating condition; The operating condition information includes: vehicle speed information and torque information.

5. The method according to claim 1, characterized in that The multiple vehicles include M types of vehicles; the driving-related parameters uploaded by the multiple vehicles are clustered to obtain N types of working conditions, including: For each vehicle model, cluster the driving-related parameters uploaded by vehicles of the vehicle model to obtain N operating conditions corresponding to the vehicle model; The testing of the vehicle to be tested based on the operating condition information corresponding to the N operating conditions includes: Determine a target vehicle model corresponding to the vehicle to be tested, and search for a vehicle model matching the target vehicle model from the M types of vehicle models; The vehicle to be tested is tested based on the operating condition information of the N operating conditions corresponding to the vehicle type matching the target vehicle type.

6. The method according to claim 1, characterized in that The multiple vehicles include vehicles in K regions; the driving-related parameters uploaded by the multiple vehicles are clustered to obtain N operating conditions, including: For each region, cluster the driving-related parameters uploaded by vehicles in the region to obtain N types of working conditions corresponding to the region; The testing of the vehicle to be tested based on the operating condition information corresponding to the N operating conditions includes: Determine the target area to be deployed corresponding to the vehicle to be tested, and search for an area matching the target area from the K areas; The vehicle to be tested is tested based on the operating condition information of the N operating conditions corresponding to the area matching the target area.

7. The method according to claim 1, characterized in that The step of obtaining driving-related parameters uploaded by a plurality of vehicles connected to the vehicle interconnection system includes: Periodically obtain driving related parameters uploaded to the vehicle interconnection system by multiple vehicles.

8. A vehicle testing device, characterized in that: The device comprises: A parameter acquisition module, used to obtain driving-related parameters uploaded by multiple vehicles to the vehicle interconnection system; A working condition determination module, used for clustering the driving-related parameters uploaded by the plurality of vehicles, obtaining N working conditions and determining working condition information corresponding to the N working conditions; wherein the working condition information includes: vehicle speed information and torque information; A testing module, used for testing the vehicle to be tested based on the operating condition information corresponding to the N operating conditions; The test module includes: A slope determination submodule, for determining a slope parameter for each operating condition based on operating condition information corresponding to the operating condition and a vehicle design parameter of the vehicle corresponding to the operating condition; A torque test information determination submodule, used to obtain vehicle design parameters of the vehicle to be tested, and determine torque test information for testing the vehicle to be tested based on vehicle speed information, slope parameters in the working condition information corresponding to the working condition, and the vehicle design parameters of the vehicle to be tested; A vehicle testing submodule, used for testing the vehicle to be tested based on the vehicle speed information in the working condition information corresponding to the N working conditions and the torque test information corresponding to the vehicle to be tested; The vehicle testing submodule is used to determine the total mileage corresponding to the N operating conditions based on the vehicle speed information in the operating condition information corresponding to the N operating conditions; obtain the target mileage corresponding to the mileage life of the vehicle to be tested; determine the target number of cycles of the vehicle to be tested based on the target mileage and the total mileage; and perform the target number of cycles of the vehicle to be tested based on the vehicle speed information in the operating condition information corresponding to the N operating conditions and the torque test information corresponding to the vehicle to be tested.

9. An electronic device, characterized in that: The device comprises a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors, wherein the one or more programs include the one or more programs for executing the vehicle testing method according to any one of method claims 1-7.

10. A readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the vehicle testing method as described in any one of method claims 1-7.

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