An automatic testing method for a vehicle steering hub bench and related device

Abstract

This application provides an automatic testing method and related apparatus for an automotive wheel hub test bench, relating to the field of automotive wheel hub test bench technology. The method involves acquiring first operating information for a target operating condition; monitoring second operating information of a test vehicle on the wheel hub test bench, with the test vehicle's power control component connected to a servo motor; and controlling the servo motor based on the first and second operating information to drive the power control component, thereby enabling the test vehicle to enter the target operating condition. This application connects the test vehicle's power control component to a servo motor, controlling the servo motor to operate with the target operating condition as the target, and using the servo motor to drive the power control component, thus enabling automatic testing of automotive wheel hub test benches under multiple operating conditions, meeting the speed requirements of different operating conditions, and significantly improving testing efficiency.

Description

Technical Field

[0001] This application relates to the field of automotive dynamometer testing technology, and in particular to an automatic testing method and related apparatus for automotive dynamometers. Background Technology

[0002] The automotive dynamometer test is an important testing method in the automotive research and development and production process, mainly used to evaluate the vehicle's performance indicators such as power and economy.

[0003] Currently, automotive swivel bench testing is mainly conducted manually. However, due to the large number of working conditions and wide range of vehicle speeds that need to be simulated, testers are prone to making mistakes, resulting in low testing efficiency. Summary of the Invention

[0004] In view of the above problems, this application provides an automatic testing method and related apparatus for an automotive hub test bench, so as to achieve the purpose of automatic testing of the automotive hub test bench. The specific solution is as follows:

[0005] The first aspect of this application provides an automatic testing method for an automotive hub swivel test bench, the automatic testing method for the automotive hub swivel test bench comprising:

[0006] Obtain the first operational information for the target operating condition;

[0007] The second operating information of the test vehicle on the vehicle swivel test bench is monitored, and the power control components of the test vehicle are connected to the servo motor.

[0008] The servo motor is controlled to operate according to the first operating information and the second operating information, so as to drive the power control component to move through the servo motor, so that the test vehicle enters the target working condition.

[0009] In one possible implementation, obtaining the first operational information of the target operating condition includes:

[0010] In response to the operating condition editing operation, construct the operating curve of the target operating condition;

[0011] Extract the first running information from the running curve.

[0012] In one possible implementation, the power control assembly includes an accelerator pedal and a brake pedal, and the servo motor includes a first servo motor connected to the accelerator pedal and a second servo motor connected to the brake pedal.

[0013] The step of controlling the servo motor to operate based on the first operating information and the second operating information includes:

[0014] Based on the first operating information and the second operating information, calculate the first target opening degree of the accelerator pedal and the second target opening degree of the brake pedal;

[0015] The first target stroke of the first servo motor is determined by the first target opening, and the first servo motor is driven according to the first target stroke so that the accelerator pedal reaches the first target opening.

[0016] The second target stroke of the second servo motor is determined by the second target opening, and the second servo motor is driven according to the second target stroke so that the brake pedal reaches the second target opening.

[0017] In one possible implementation, the automated testing method for the automotive hub bench further includes:

[0018] Obtain the test environment information of the test vehicle, and determine the test risk level based on the test environment information;

[0019] If the test risk level meets the corresponding safety conditions, the step of controlling the servo motor to work based on the first operating information and the second operating information is executed.

[0020] In one possible implementation, determining the test risk level based on the test environment information includes:

[0021] If the test environment information includes the displacement information of the test vehicle, determine the vibration risk level of the test vehicle on the vehicle dynamometer based on the displacement information; and / or

[0022] If the test environment information contains a first visual image of the target component in the automotive wheel dynamometer, identify the wear risk level of the target component based on the first visual image; and / or

[0023] If the test environment information contains a second visual image of a moving object around the vehicle swivel test bench, the safety risk level of the moving object is identified based on the second visual image.

[0024] In one possible implementation, the automated testing method for the automotive hub bench further includes:

[0025] If the test risk level does not meet the safety conditions, the corresponding handling operation shall be performed according to the test risk level.

[0026] A second aspect of this application provides an automatic testing device for an automotive hub test bench, the automatic testing device for the automotive hub test bench comprising:

[0027] The target operating condition acquisition module is used to acquire the first operating information of the target operating condition;

[0028] The vehicle monitoring module is used to monitor the second operating information of the test vehicle on the vehicle swivel test bench, and the power control components of the test vehicle are connected to the servo motor.

[0029] An automatic testing module is used to control the servo motor to work according to the first operating information and the second operating information, so as to drive the power control component to move through the servo motor, so that the test vehicle enters the target working condition.

[0030] A third aspect of this application provides a computer program product including computer-readable instructions that, when executed on an electronic device, cause the electronic device to implement the automatic testing method for an automotive rotary test bench as described in the first aspect or any implementation thereof.

[0031] A fourth aspect of this application provides an electronic device, including at least one processor and a memory connected to the processor, wherein:

[0032] The memory is used to store computer programs;

[0033] The processor is used to execute the computer program so that the electronic device can implement the automatic testing method for the automobile hub bench according to the first aspect or any implementation thereof.

[0034] The fifth aspect of this application provides a computer storage medium carrying one or more computer programs, which, when executed by an electronic device, enable the electronic device to implement the automatic testing method for an automotive rotary test bench as described in the first aspect or any implementation thereof.

[0035] By employing the above technical solution, this application provides an automatic testing method and related apparatus for an automotive wheel hub test bench. The method acquires first operating information for a target operating condition; monitors second operating information of a test vehicle on the wheel hub test bench, with the test vehicle's power control component connected to a servo motor; and controls the servo motor to operate based on the first and second operating information, thereby driving the power control component to move and enabling the test vehicle to enter the target operating condition. This application connects the test vehicle's power control component to a servo motor, controlling the servo motor to operate with the target operating condition as the objective. The servo motor then drives the power control component to move, thus enabling the test vehicle to enter the target operating condition. This achieves automatic testing of automotive wheel hub test benches under multiple operating conditions, meeting the speed requirements of different operating conditions and significantly improving testing efficiency. Attached Figure Description

[0036] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the originals and elements are not necessarily drawn to scale.

[0037] Figure 1 A flowchart illustrating an automated testing method for an automotive hub bench provided in this application embodiment;

[0038] Figure 2 A partial flowchart illustrating an automatic testing method for an automotive rotary test bench provided in this application embodiment;

[0039] Figure 3 This is another part of the flowchart illustrating an automatic testing method for an automotive rotary test bench provided in an embodiment of this application;

[0040] Figure 4 A system architecture diagram provided for an embodiment of this application;

[0041] Figure 5 A schematic diagram of the structure of an automatic testing device for an automobile hub test bench provided in an embodiment of this application;

[0042] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0043] The embodiments of this application are described below with reference to the accompanying drawings. The terminology used in the implementation section of this application is for explaining specific embodiments only and is not intended to limit the scope of this application.

[0044] The embodiments of this application will now be described with reference to the accompanying drawings. Those skilled in the art will recognize that, with technological advancements and the emergence of new scenarios, the technical solutions provided in the embodiments of this application are equally applicable to similar technical problems.

[0045] The terms "first," "second," etc., used in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such terms are interchangeable where appropriate; this is merely a way of distinguishing objects with the same attributes in the embodiments of this application. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, so that a process, method, system, product, or apparatus that comprises a series of units is not necessarily limited to those units, but may include other units not explicitly listed or inherent to those processes, methods, products, or apparatuses.

[0046] Taking the WLTC (World Light Vehicle Test Cycle) test as an example, WLTC simulation is an energy consumption test conducted on a vehicle dynamometer. Its characteristics include multi-condition simulation, a wide speed range, and simulation of various environmental conditions. When conducting WLTC testing on a dynamometer, test personnel need to manually drive the test vehicle on the dynamometer to simulate different speeds under various conditions. However, WLTC testing involves numerous conditions and a large workload, which not only consumes a lot of manpower but is also prone to errors, leading to low testing efficiency. Furthermore, the WLTC testing environment spans a wide range, with extremely low and high temperatures, which is very unfriendly to test personnel and poses certain safety risks, affecting their personal safety.

[0047] To address the aforementioned problems, this application provides a flowchart illustrating an automated testing method for an automotive hub test bench. The automated testing method for the automotive hub test bench according to this application will be described in detail below with reference to the accompanying drawings.

[0048] See Figure 1 , Figure 1 This is a flowchart illustrating an automated testing method for an automotive rotary testing bench, provided as an embodiment of this application. Figure 1 As shown in the embodiment of this application, an automatic testing method for an automotive hub test bench may include steps S101 to S103, which are described in detail below.

[0049] S101, Obtain the first operating information of the target operating condition.

[0050] In this embodiment of the application, the target operating condition is the operating condition to be tested for the test vehicle, and the operating information under the target operating condition (i.e., the first operating information) can be obtained. The first operating information includes the simulated operating state of the test vehicle at different times.

[0051] Continuing with the WLTC test as an example, the WLTC test requires loading the WLTC operating condition curve, which records the simulated vehicle speed of the test vehicle at different times. Different time periods of the WLTC operating condition curve can correspond to different operating conditions. Therefore, the vehicle speed corresponding to the target operating condition in the time period can be extracted from the WLTC operating condition curve, and the test vehicle on the vehicle dynamometer can be automatically tested with this as the target.

[0052] In one possible implementation, a test condition editing function could also be provided, allowing testers to quickly construct various test conditions, offering scalability and flexibility. See also Figure 2 , Figure 2 This is a partial flowchart illustrating an automated testing method for an automotive rotary testing bench, provided in an embodiment of this application. Figure 2 As shown in the embodiment of this application, an automatic testing method for an automotive hub test bench is provided. Step S101, "obtaining the first operating information of the target working condition", may include steps S201 to S202. These steps are described in detail below.

[0053] S201, responds to the operating condition editing operation and constructs the operating curve of the target operating condition.

[0054] In this embodiment of the application, the tester can input a working condition editing operation for the target working condition through an input device. In response to the working condition editing operation, the tester can construct a running curve for the target working condition. The horizontal axis of the running curve is time, and the vertical axis is the running state simulated by the test vehicle. Based on the running curve, the correspondence between the running state and time under the target working condition can be established.

[0055] S202, extract the first running information from the running curve.

[0056] In this embodiment of the application, the simulated operating state of the test vehicle at the current time can be extracted according to the operating curve, thereby obtaining the first operating information. For example, the tester can construct an operating curve for any type of working condition through an input device. This operating curve records the simulated vehicle speed of the test vehicle at different times. The vehicle speed at the current time can be extracted from this operating curve as the first operating information.

[0057] S102 monitors the second operating information of the test vehicle on the vehicle swivel test bench. The power control components of the test vehicle are connected to the servo motor.

[0058] In this embodiment, the test vehicle is pre-deployed on a vehicle swivel test bench. In order to achieve unmanned operation of the test vehicle, the servo motor can be connected to the power control component of the test vehicle. To illustrate with a hard connection, the connecting rod of the servo motor can be in contact with the power control component, and the servo motor can simulate the driving behavior of the tester.

[0059] Furthermore, during operation, the test vehicle can upload its operational information (i.e., second operational information) to its cloud backend via its vehicle-to-everything (V2X) function, such as the vehicle speed, acceleration, and wheel speed at the current time. In this embodiment, the test vehicle's second operational information can be obtained from the cloud backend, and information of the same type as the first operational information can be parsed from it. For example, the first operational information includes the simulated vehicle speed at different times, while the second operational information includes the test vehicle's speed at the current time.

[0060] S103, based on the first operating information and the second operating information, control the servo motor to work, so as to drive the power control component to move through the servo motor, so that the test vehicle enters the target working condition.

[0061] In this embodiment, the first operating information includes the operating states of the test vehicle at different times required by the target operating conditions, while the second operating information includes the operating state of the test vehicle at the current time. Therefore, the operating state at the current time in the first operating information can be taken as the target operating state, and the operating state at the current time in the second operating information can be taken as the current operating state. The target position point of the power steering component's movement is calculated using control algorithms such as PID (Proportional-Integral-Derivative) or MPC (Model Predictive Control), and the target stroke of the servo motor is calculated accordingly. Finally, the servo motor is controlled to operate according to the target stroke, thereby driving the power steering component to move, simulating the driving behavior of the test personnel on the test vehicle, and causing the test vehicle to enter the target operating state.

[0062] In one possible implementation, the driving behavior of a test driver can be simulated by using a servo motor to drive the accelerator pedal and / or brake pedal. See also Figure 3 , Figure 3 This is another schematic flowchart illustrating an automated testing method for an automotive rotary testing bench provided in an embodiment of this application. (See attached diagram.) Figure 3 As shown in the embodiment of this application, an automatic testing method for an automobile rotating test bench is provided. The power control component includes an accelerator pedal and a brake pedal. The servo motor includes a first servo motor connected to the accelerator pedal and a second servo motor connected to the brake pedal. The first servo motor can advance and retract the accelerator pedal, and the second servo motor can advance and retract the brake pedal.

[0063] In this regard, step S103, "controlling the servo motor to work according to the first operating information and the second operating information", may include steps S301 to S303, which will be described in detail below.

[0064] S301, calculate the first target opening degree of the accelerator pedal and the second target opening degree of the brake pedal based on the first operating information and the second operating information.

[0065] In this embodiment of the application, the example of the first operating information containing the simulated vehicle speed of the test vehicle at different times and the second operating information containing the vehicle speed of the test vehicle at the current time is used to illustrate that the vehicle speed in the first operating information can be used as the target vehicle speed and the vehicle speed in the second operating information can be used as the current vehicle speed. The target opening degree of the accelerator pedal (i.e., the first target opening degree) and the target opening degree of the brake pedal (i.e., the second target opening degree) can be calculated by control algorithms such as PID or MPC.

[0066] Specifically, when the current vehicle speed is greater than the target vehicle speed, the accelerator pedal opening can be reduced or the brake pedal opening can be increased. If the accelerator pedal opening needs to be reduced, the first target opening is calculated and updated based on the current vehicle speed and the target vehicle speed, while the second target opening remains unchanged. When the vehicle speed is less than the target vehicle speed, the accelerator pedal opening can be increased. At this time, the first target opening is calculated and updated based on the current vehicle speed and the target vehicle speed, while the second target opening remains unchanged. When the vehicle speed is equal to the target vehicle speed, there is no need to adjust the accelerator pedal opening and the brake pedal opening. At this time, the first target opening and the second target opening remain unchanged.

[0067] S302, the first target stroke of the first servo motor is determined by the first target opening, and the first servo motor is driven according to the first target stroke so that the accelerator pedal reaches the first target opening.

[0068] In this embodiment, a mapping relationship (i.e., mapping relationship 1) can be configured between the accelerator pedal opening and its travel for the first servo motor. Therefore, based on mapping relationship 1, the target travel (i.e., the first target travel) corresponding to the first target opening can be determined. The first servo motor is controlled to work according to the first target travel. When the first servo motor works to the first target travel, the accelerator pedal reaches the first target opening.

[0069] S303, using the second target opening degree to determine the second target stroke of the second servo motor, and driving the second servo motor according to the second target stroke, so that the brake pedal reaches the second target opening degree.

[0070] In this embodiment, a mapping relationship between the brake pedal opening and its travel can be configured for the second servo motor. Therefore, based on mapping relationship 2, the target travel (i.e., the second target travel) corresponding to the second target opening can be determined. The second servo motor is controlled to work according to the second target travel. When the second servo motor works to the second target travel, the brake pedal reaches the second target opening.

[0071] In one possible implementation, to ensure safety during the automated testing process of the automotive wheel dynamometer, embodiments of this application may further assess the test risk level during the testing process. To this end, an automated testing method for an automotive wheel dynamometer provided by embodiments of this application further includes the following steps:

[0072] Obtain the test environment information of the test vehicle and determine the test risk level based on the test environment information; if the test risk level meets the corresponding safety conditions, proceed to step S103.

[0073] In this embodiment, test environment information can be obtained when the test vehicle is tested on the vehicle swivel test bench. This includes information such as the installation status of the test vehicle on the swivel test bench, the equipment status of the swivel test bench, and whether there are any moving objects around the swivel test bench that could affect safety testing. Relevant features are extracted from the test environment information, and then the test risk level is predicted based on these features.

[0074] Taking the test risk level as divided into "with test risk" and "without test risk" as an example, when the test risk level indicates "no test risk," proceed to step S103. However, when the test risk level indicates "with test risk," the test can be paused, i.e., the servo motor can be stopped.

[0075] Of course, when the test risk level indicates that there is a test risk, the test risk level can be specifically divided according to the test environment information, and corresponding handling operations can be performed according to the specific test risk level, such as flashing lights, sound warnings, pausing the test, etc.

[0076] In one possible implementation, the test risk level can be determined by monitoring the test vehicle, the vehicle dynamometer, or the moving object. In this regard, an embodiment of this application provides an automated testing method for a vehicle dynamometer, wherein the step of "determining the test risk level based on test environment information" can be performed using the following steps:

[0077] If the test environment information includes the displacement information of the test vehicle, determine the vibration risk level of the test vehicle on the vehicle swivel test bench based on the displacement information; and / or

[0078] If the test environment information includes a first-view image of the target component in an automotive dynamometer test bench, identify the wear risk level of the target component based on the first-view image; and / or

[0079] If the test environment information includes a second visual image of a moving object around the car swivel test bench, the safety risk level of the moving object is identified based on the second visual image.

[0080] In this embodiment, the displacement information of the test vehicle in different directions can be monitored. Specifically, displacement detection components can be deployed in the four directions of front, rear, left, and right of the test vehicle to detect the displacement information of the test vehicle in different directions, and then the vibration risk level of the test vehicle on the vehicle rotating test bench can be determined based on the detected displacement information.

[0081] For example, the vibration risk level is divided into vibration risk and no vibration risk. After the test vehicle is deployed on the vehicle swivel test bench, infrared transmitters can be installed in each direction of the test vehicle, and infrared receivers can be installed in the corresponding positions on the vehicle swivel test bench. Once the test vehicle deviates in a certain direction, the infrared receiver in that direction will not receive the light emitted by the infrared transmitter in the same direction. At this time, it can be considered that the test vehicle has vibration risk on the vehicle swivel test bench.

[0082] Of course, in some scenarios, the vibration risk level can be further divided into specific levels, such as high, medium, and low. In such scenarios, the displacement information in the corresponding direction can be detected by testing the vehicle's onboard radar in each direction, and then the specific vibration risk level can be determined by dividing the displacement range. It can be understood that the larger the displacement value, the higher the vibration risk level.

[0083] Furthermore, automotive dynamometers can be used to monitor the wear and tear of target components. Taking the ropes on the dynamometer as an example, these ropes are used to secure the test vehicle, and as testing progresses, they may develop cracks or even break. To address this, cameras can be deployed within the spatial area of ​​the target component, covering its entire field of view. The cameras capture visual images of the component (i.e., first-person visual images), which are then input into a trained wear prediction model. This model then predicts the wear risk level of the target component.

[0084] It should be noted that the wear prediction model is trained using a deep learning algorithm, which will not be elaborated upon in the embodiments of this application. It should also be noted that the wear risk level can include both wear risk and no wear risk, and the wear risk can be further subdivided into levels such as high, medium, and low. It is understood that the greater the wear degree of the target component, the higher its wear risk level.

[0085] Furthermore, for moving objects around the car wheel test bench, such as test personnel and robots, their movement around the test bench can be monitored. By deploying cameras in a designated spatial area, the camera's shooting range can cover the moving objects entering the spatial area. The cameras can capture visual images (i.e., second visual images) of the moving objects, which are then input into a trained safety prediction model. The safety prediction model can then predict the safety risk level of the moving objects.

[0086] It should be noted that the security prediction model is obtained through training using a deep learning algorithm, which will not be elaborated upon in this application's embodiments. It should also be noted that the security prediction model can include both areas with and without security risks. For example, deploying cameras at the entrance and considering any moving object entering as a security risk. Security risks can also be further categorized into levels such as high, medium, and low. For instance, deploying cameras at different distances from a car wheel derrick can determine the distance between the moving object and the derrick based on the location of the camera that detected the moving object; the closer the object is to the derrick, the higher its security risk level.

[0087] Based on the above description, the automatic testing method for an automotive wheel hub test bench provided in this application can utilize artificial intelligence technology to develop a Safety Monitor System (SMS), utilize non-communication technology combined with control algorithms to develop a Virtual Drive System (VDS), and utilize servo motors to implement a Drive Operation Device (DOD). The Safety Monitor System monitors the test risk level of the test environment where the test vehicle is located in real time. When the test risk level meets the safety conditions, the Virtual Drive System is triggered to operate. The Virtual Drive System controls the servo motor in the Drive Operation Device to operate according to the target working condition. The servo motor drives the power control components to move, so that the test vehicle automatically enters the target working condition in a safe state. This application can realize unmanned automotive wheel hub test bench testing, saving labor costs and improving testing efficiency. At the same time, it can promptly detect safety hazards through self-safety monitoring. Furthermore, it does not involve any modification to the wiring harness of the test vehicle.

[0088] See Figure 4 , Figure 4 This is a system architecture diagram provided for an embodiment of this application. For example... Figure 4 As shown, the safety monitoring system acquires the test environment information of the test vehicle and determines the test risk level based on this information. Specifically, on the one hand, it determines the vibration risk level of the test vehicle on the vehicle rotating test bench by deploying displacement detection components; on the other hand, it predicts the wear risk level of target components or the safety risk level of moving objects by deploying cameras. When the test risk level meets the safety conditions, the safety monitoring system triggers the virtual driving system to operate.

[0089] The virtual driving system acquires first operating information of the target operating condition on the one hand, and obtains second operating information of the test vehicle from the cloud backend through the wireless receiving module on the other hand. Then, it calculates the first target opening degree of the accelerator pedal and the second target opening degree of the brake pedal based on the first and second operating information.

[0090] The driving control device includes a first servo motor and a second servo motor. The virtual driving system drives the first servo motor according to a first target stroke corresponding to a first target opening, so that the accelerator pedal of the test vehicle reaches the first target opening through the first servo motor; and drives the second servo motor according to a second target stroke corresponding to a second target opening, so that the brake pedal of the test vehicle reaches the second target opening through the second servo motor. This allows the test vehicle to enter the target operating condition.

[0091] The above describes an automatic testing method for an automobile wheel dynamometer provided by an embodiment of this application. The following will describe the apparatus for performing the above-described automatic testing method for an automobile wheel dynamometer.

[0092] See Figure 5 , Figure 5 This is a schematic diagram of the structure of an automatic testing device for an automotive hub dynamometer provided in an embodiment of this application. Figure 5 As shown in the embodiment of this application, an automatic testing device for an automotive hub dynamometer includes:

[0093] The target operating condition acquisition module 501 is used to acquire the first operating information of the target operating condition;

[0094] The vehicle monitoring module 502 is used to monitor the second operating information of the test vehicle on the vehicle swivel test bench. The power control components of the test vehicle are connected to the servo motor.

[0095] The automatic test module 503 is used to control the servo motor to work according to the first operating information and the second operating information, so as to drive the power control component to move through the servo motor, so that the test vehicle enters the target working condition.

[0096] In one possible implementation, the target operating condition acquisition module 501 is specifically used for:

[0097] In response to the operating condition editing operation, construct the operating curve of the target operating condition; extract the first operating information from the operating curve.

[0098] In one possible implementation, the power control assembly includes an accelerator pedal and a brake pedal, and the servo motor includes a first servo motor connected to the accelerator pedal and a second servo motor connected to the brake pedal.

[0099] The automatic test module 503, used to control the operation of the servo motor based on the first and second operating information, is specifically used for:

[0100] Based on the first operating information and the second operating information, calculate the first target opening degree of the accelerator pedal and the second target opening degree of the brake pedal; use the first target opening degree to determine the first target stroke of the first servo motor, and drive the first servo motor according to the first target stroke so that the accelerator pedal reaches the first target opening degree; use the second target opening degree to determine the second target stroke of the second servo motor, and drive the second servo motor according to the second target stroke so that the brake pedal reaches the second target opening degree.

[0101] In one possible implementation, the automated testing module 503 is also used for:

[0102] Obtain the test environment information of the test vehicle and determine the test risk level based on the test environment information; if the test risk level meets the corresponding safety conditions, execute the step of controlling the servo motor to work based on the first operating information and the second operating information.

[0103] In one possible implementation, the automated testing module 503, used to determine the test risk level based on test environment information, is specifically used for:

[0104] If the test environment information includes the displacement information of the test vehicle, determine the vibration risk level of the test vehicle on the vehicle swivel test bench based on the displacement information; and / or

[0105] If the test environment information includes a first-view image of the target component in an automotive dynamometer test bench, identify the wear risk level of the target component based on the first-view image; and / or

[0106] If the test environment information includes a second visual image of a moving object around the car swivel test bench, the safety risk level of the moving object is identified based on the second visual image.

[0107] In one possible implementation, the automated testing module 503 is also used for:

[0108] If the test risk level does not meet the safety requirements, the corresponding handling procedures shall be carried out according to the test risk level.

[0109] It should be noted that the detailed functions of each module in the embodiments of this application can be found in the corresponding disclosure of the above-mentioned automatic testing method embodiment for automobile rotating drum test bench, and will not be repeated here.

[0110] This application also provides an electronic device in its embodiments. See also... Figure 6 , Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device in this embodiment may include, but is not limited to, fixed terminals such as mobile phones, laptops, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, etc. Figure 6The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0111] like Figure 6 As shown, the electronic device may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 608 into a random access memory (RAM) 603. When the electronic device is powered on, the RAM 603 also stores various programs and data required for the operation of the electronic device. The processing unit 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0112] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 607 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 608 including, for example, memory cards, hard drives, etc.; and communication devices 609. Communication device 609 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown. More or fewer devices may be implemented or have instead.

[0113] This application also provides a computer program product including computer-readable instructions, which, when executed on an electronic device, cause the electronic device to implement any of the automatic testing methods for an automotive hub bench provided in this application.

[0114] This application also provides a computer-readable storage medium carrying one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement any of the automatic testing methods for automotive hub rigs provided in this application.

[0115] It should also be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. In addition, in the device embodiment drawings provided in this application, the connection relationship between modules indicates that they have a communication connection, which can be implemented as one or more communication buses or signal lines.

[0116] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware, or it can be implemented by special-purpose hardware including application-specific integrated circuits, special-purpose CPUs, special-purpose memory, special-purpose components, etc. Generally, any function performed by a computer program can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be diverse, such as analog circuits, digital circuits, or special-purpose circuits. However, for this application, software program implementation is more often the preferred implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium, such as a computer floppy disk, USB flash drive, mobile hard disk, ROM, RAM, magnetic disk, or optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, training equipment, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0117] In the above embodiments, the implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, in the form of a computer program product.

[0118] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, training device, or data center to another website, computer, training device, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).

Claims

1. An automatic testing method for an automotive hub test bench, characterized in that, The automatic testing method for the automobile dynamometer includes: Obtain the first operational information for the target operating condition; The second operating information of the test vehicle on the vehicle swivel test bench is monitored, and the power control components of the test vehicle are connected to the servo motor. The servo motor is controlled to operate according to the first operating information and the second operating information, so as to drive the power control component to move through the servo motor, so that the test vehicle enters the target working condition.

2. The automatic testing method for the automobile hub test bench according to claim 1, characterized in that, The acquisition of the first operating information of the target operating condition includes: In response to the operating condition editing operation, construct the operating curve of the target operating condition; Extract the first running information from the running curve.

3. The automatic testing method for the automobile rotating drum test bench according to claim 1 or 2, characterized in that, The power control assembly includes an accelerator pedal and a brake pedal, and the servo motor includes a first servo motor connected to the accelerator pedal and a second servo motor connected to the brake pedal; The step of controlling the servo motor to operate based on the first operating information and the second operating information includes: Based on the first operating information and the second operating information, calculate the first target opening degree of the accelerator pedal and the second target opening degree of the brake pedal; The first target stroke of the first servo motor is determined by the first target opening, and the first servo motor is driven according to the first target stroke so that the accelerator pedal reaches the first target opening. The second target stroke of the second servo motor is determined by the second target opening, and the second servo motor is driven according to the second target stroke so that the brake pedal reaches the second target opening.

4. The automatic testing method for an automobile rotating drum test bench according to any one of claims 1 to 3, characterized in that, The automated testing method for the automobile dynamometer also includes: Obtain the test environment information of the test vehicle, and determine the test risk level based on the test environment information; If the test risk level meets the corresponding safety conditions, the step of controlling the servo motor to work based on the first operating information and the second operating information is executed.

5. The automatic testing method for the automobile rotating drum test bench according to claim 4, characterized in that, Determining the test risk level based on the test environment information includes: If the test environment information includes the displacement information of the test vehicle, determine the vibration risk level of the test vehicle on the vehicle dynamometer based on the displacement information; and / or If the test environment information contains a first visual image of the target component in the automotive wheel dynamometer, identify the wear risk level of the target component based on the first visual image; and / or If the test environment information contains a second visual image of a moving object around the vehicle dynamometer, the safety risk level of the moving object is identified based on the second visual image.

6. The automatic testing method for the automobile rotating drum test bench according to claim 4 or 5, characterized in that, The automated testing method for the automobile dynamometer also includes: If the test risk level does not meet the safety conditions, the corresponding handling operation shall be performed according to the test risk level.

7. An automatic testing device for an automobile rotating drum test bench, characterized in that, The automatic testing device for the automobile swivel test bench includes: The target operating condition acquisition module is used to acquire the first operating information of the target operating condition; The vehicle monitoring module is used to monitor the second operating information of the test vehicle on the vehicle dynamometer, and the power control components of the test vehicle are connected to the servo motor. An automatic testing module is used to control the servo motor to work according to the first operating information and the second operating information, so as to drive the power control component to move through the servo motor, so that the test vehicle enters the target working condition.

8. A computer program product, characterized in that, It includes computer-readable instructions that, when executed on an electronic device, cause the electronic device to implement the automatic testing method for an automotive hub bench as described in any one of claims 1 to 6.

9. An electronic device, characterized in that, It includes at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs; The processor is used to execute the computer program to enable the electronic device to implement the automatic testing method for the automotive hub bench as described in any one of claims 1 to 6.

10. A computer storage medium, characterized in that, The storage medium carries one or more computer programs that, when executed by an electronic device, enable the electronic device to implement the automatic testing method for the automotive hub test bench as described in any one of claims 1 to 6.

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