Vehicle simulation test method, device and system and computer program product

Abstract

The invention discloses a vehicle simulation test method, device and system and a computer program product, and the method comprises the steps: converting source vehicle data selected by a user into target vehicle data in a cloud server; the client receives the target vehicle data and calls an automobile bus software tool chain to play back the target vehicle data; loading the replayed target data by the client through an automobile bus software tool chain, and performing test verification by adopting a preset test mode; and the client transmits the tested and verified data to the cloud server, and the cloud server compares the tested and verified data with the source vehicle data selected by the user and generates a test report. According to the invention, the efficiency and convenience of vehicle testing are remarkably improved, and a user can directly acquire rich and diversified vehicle data through the cloud server without tedious data acquisition and preparation work. The data cover different working conditions, is suitable for test verification of each node module of the vehicle, and ensures the comprehensiveness and accuracy of the test.

Description

Technical Field

[0001] The present invention relates to the technical field of automotive simulation, and in particular to an automated test method, device, and computer program product for a vehicle bench, as well as a device, system, and computer program product. Background Art

[0002] In the field of simulation technology, generally, automotive electronic network development tools such as CANoe are used to write simulation signals in test scripts for simulation testing.

[0003] The existing simulation testing methods have the following problems: (1) a large amount of scripts or configuration data need to be written manually; (2) trip data needs to be extracted through embedded devices; (3) it is impossible to mass-produce data under different working conditions; (4) the collected data cannot be used for other types of vehicle tests; (5) it is impossible to achieve end-to-end full-link testing from vehicle to cloud. Summary of the Invention

[0004] The technical problem to be solved by the embodiments of the present invention is to provide a vehicle simulation testing method, device, system, and computer program product to avoid the cumbersome process of users collecting and preparing data by themselves, achieve efficient and comprehensive vehicle simulation testing, cover the entire testing link, reduce testing costs, and improve testing efficiency.

[0005] To solve the above technical problem, the present invention provides a vehicle simulation testing method, including the following steps:

[0006] Convert the source vehicle data selected by the user into target vehicle data in the cloud server;

[0007] The client receives the target vehicle data and calls the automotive bus software tool chain to playback the target vehicle data;

[0008] The client loads the played-back target data through the automotive bus software tool chain and performs test verification using a preset test method;

[0009] The client transmits the data after test verification to the cloud server, and the cloud server compares it with the source vehicle data selected by the user and generates a test report.

[0010] Preferably, the converting the source vehicle data selected by the user into target vehicle data in the cloud server specifically includes:

[0011] Obtain the CAN database files corresponding to the source vehicle and the target vehicle;

[0012] According to the CAN database files, identify the signals of the source vehicle and the target vehicle, establish the mapping relationship between the signals, and convert the source vehicle data into the data format of the target vehicle.

[0013] Preferably, during the data conversion process, if there are differences in data type, unit, cycle, and range between the source vehicle and the target vehicle, unnecessary information is removed or missing information is filled.

[0014] Preferably, the client receives the target vehicle data and calls the automotive bus software toolchain to replay the target vehicle data, specifically including:

[0015] The client receives the target vehicle data to be replayed sent by the cloud server through the full-duplex communication connection established with the cloud server;

[0016] The client uses the automotive bus software toolchain to replay the received target vehicle data in a simulated form.

[0017] Preferably, the preset test method is any one of model-in-the-loop test, hardware-in-the-loop test, and bench test; the multiple verifications under different working condition data include any combination of communication protocol verification, functional verification, performance verification, durability and reliability verification, fault diagnosis and handling verification, and data acquisition verification.

[0018] The present invention also provides a vehicle simulation test system, including:

[0019] A cloud server for converting the source vehicle data selected by the user into target vehicle data;

[0020] A client for receiving the target vehicle data, calling the automotive bus software toolchain to replay the target vehicle data; and further for loading the replayed target data through the automotive bus software toolchain, and performing test verification using a preset test method; and transmitting the data after test verification to the cloud server;

[0021] The cloud server is further used to compare the data after test verification with the source vehicle data selected by the user and generate a test report.

[0022] Preferably, the cloud server further includes a signal conversion module for obtaining the CAN database files corresponding to the source vehicle and the target vehicle; identifying the signals of the source vehicle and the target vehicle according to the CAN database files, establishing a mapping relationship between the signals, and converting the source vehicle data into the data format of the target vehicle.

[0023] Preferably, the client is specifically used for: receiving the target vehicle data to be replayed sent by the cloud server through the full-duplex communication connection established with the cloud server; and using the automotive bus software toolchain to replay the received target vehicle data in a simulated form.

[0024] The present invention also provides a vehicle simulation test device, comprising:

[0025] one or more processors;

[0026] a memory;

[0027] one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to execute the vehicle simulation test method.

[0028] The present invention also provides a computer program product, comprising computer instructions, and the computer instructions direct a computer device to perform the operations corresponding to the method.

[0029] Implementing the present invention has the following beneficial effects: The present invention significantly improves the efficiency and convenience of vehicle testing. Users do not need to perform cumbersome data collection and preparation work and can directly obtain a rich variety of vehicle data through the cloud server. These data cover different working conditions and are applicable to the test verification of each node module of the vehicle, ensuring the comprehensiveness and accuracy of the test. The cloud-initiated method not only simplifies the test process but also realizes end-to-end coverage from data selection to test verification, greatly saving time and cost. At the same time, with the help of the efficient data processing ability and real-time communication technology of the cloud server, users can efficiently utilize these data to perform various test methods such as model-in-the-loop and hardware-in-the-loop, further improving the test efficiency and quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0031] Figure 1 is a flowchart of a vehicle simulation test method according to Embodiment 1 of the present invention.

[0032] Figure 2 is a schematic diagram of the implementation framework of a vehicle simulation test method according to Embodiment 1 of the present invention.

[0033] Figure 3 is a flowchart of constructing playback data in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] The following descriptions of the embodiments refer to the drawings to exemplify specific embodiments in which the present invention can be implemented.

[0035] Please refer toFigure 1 As shown in the figure, Embodiment 1 of the present invention provides a vehicle simulation test method, including the following steps:

[0036] Convert the source vehicle data selected by the user into target vehicle data in the cloud server;

[0037] The client receives the target vehicle data and calls the automotive bus software toolchain to replay the target vehicle data;

[0038] The client loads the replayed target data through the automotive bus software toolchain and performs test verification using a preset test method;

[0039] The client transmits the data after test verification to the cloud server, and the cloud server compares it with the source vehicle data selected by the user and generates a test report.

[0040] From the above steps, it can be seen that in the embodiment of the present invention, by efficiently using the vehicle data under different working conditions stored in the cloud, the test process is directly initiated from the cloud, without the need for the user to collect and prepare data by themselves, greatly improving the test efficiency. The present invention can comprehensively cover each node module of the vehicle and complete end-to-end test verification, thus ensuring the overall performance and reliability of the vehicle system. It not only simplifies the test process, reduces the test cost, but also makes the test more flexible and convenient.

[0041] Specifically, please refer to Figure 2 As shown in the figure, in the embodiment of the present invention, the cloud server includes the following modules:

[0042] (1) Vehicle data module: In the cloud server, real vehicle data marked according to different vehicle conditions such as region, season, driving style, and fault is stored for users to select. Users can select vehicle data for setting and marking through vehicle VIN and time period; the cloud server will also obtain the existing vehicle data from the database and manage it. The source vehicle data includes, but is not limited to, CAN (Controller Area Network) bus message data, and also includes data of other in-vehicle networks, such as LIN (Local Interconnect Network), MOST (Media Oriented Systems Transport), FlexRay (FlexRay bus), etc., and can also be data in formats such as BLF and ASC collected.

[0043] (2) File Configuration Module: This module manages the DBC (Database for Can, CAN database) files corresponding to vehicles, as well as other relevant configuration files or description files, such as XML (Extensible Markup Language) and CSV (Comma-Separated Values), according to different vehicle models and series.

[0044] (3) Signal Conversion Module: After the user selects the source vehicle data in the vehicle data module and further selects the target vehicle model and series to be converted, the cloud server will load the corresponding DBC and other files from the file configuration module, convert them into the signals of the target vehicle according to the data protocol between the source vehicle and the target vehicle, eliminate redundant data, and finally assemble them into data that conforms to the specifications, such as data in the formats of BLF (Binary Logging File) and ASC (ASCII, text file). Specifically, please refer to Figure 3 As shown, in the signal conversion module, to convert the source vehicle data into the signals of the target vehicle, the following steps are required:

[0045] 1) Obtain the DBC (Database for Can) files corresponding to the source vehicle and the target vehicle.

[0046] It can be understood that the DBC file is a file format that describes CAN bus messages and signals. It contains the definitions of various messages on the CAN bus, such as message ID (an identifier that uniquely identifies a CAN message), data length (the number of data bytes contained in the message), signal name (the specific information represented by each data field in the message, such as engine speed, vehicle speed, throttle position, etc.), as well as the position (i.e., which bit of which byte) and size (the number of bits occupied) of these signals in the message.

[0047] In addition to the DBC file, according to the tools and data formats used, other types of configuration files or description files may be required to assist in understanding and processing CAN bus data. For example:

[0048] XML files, which are commonly used markup language formats, are used to describe more complex communication protocols or data structures;

[0049] CSV files, a comma-separated text file format, are used to store a large number of data points, such as time series data of signal values.

[0050] The above files contain additional information about CAN bus communication, such as the physical range, resolution, offset, etc. of the signals, or descriptions of network configuration, node information, message scheduling, etc.

[0051] 2) Data Conversion and Assembly:

[0052] Based on the obtained data files of the source vehicle and the target vehicle, establish a mapping relationship for the structure, type, function, and purpose of data such as vehicle signals for vehicles of the same or different models and series one by one, that is, a one-to-one correspondence relationship of the same or different signals between the source vehicle and the target vehicle, including identifying which signals are similar in the two models, which signals are unique, and how they are interrelated. Thus, convert the source vehicle data into the data format of the target vehicle.

[0053] During the data conversion process, differences may occur in the data types (such as integers, floating-point numbers), units (such as kilometers per hour, miles per hour), periods (such as sent once per second, sent once every ten minutes), and ranges (such as vehicle speed range from 0 - 200 kilometers per hour) between the source vehicle and the target vehicle signals. It is necessary to perform elimination (removing unnecessary information) and filling (adding missing information or default values) to ensure the accuracy and consistency of the data. For example, if a certain signal in the source vehicle is not required by the target vehicle, it can be eliminated; if the target vehicle requires additional information that is not provided in the source vehicle data, default values need to be filled or estimated.

[0054] Finally, it is necessary to assemble the converted data into a form that conforms to the data format and specifications of the target vehicle, including packing the data into a specific message structure, adding necessary checksums or identifiers, and ensuring that the data is sent according to the expected period and order.

[0055] It should also be noted that during the process of assembling the data, special attention needs to be paid to ensuring the accuracy and consistency of the data, including verifying whether the converted data is semantically consistent with the original data, and whether it meets the requirements of the target vehicle for the data format and range.

[0056] (4) Data Replay Module: The cloud server conducts real-time and two-way remote communication with several clients through technologies such as WebSocket. WebSocket is a protocol for full-duplex communication over a single TCP connection and is suitable for application scenarios that require real-time data exchange. The cloud server is responsible for collecting, processing, or storing vehicle data and sending the vehicle data to be replayed to the client; after receiving the vehicle data to be replayed, the client will call the automotive bus software toolchain (such as CANoe, TSMaster, etc.) to replay the data. The automotive bus software toolchain is usually used for the testing and verification of automotive electronic control units (ECUs) and can simulate and analyze the data communication on the vehicle bus. Through the automotive bus software toolchain, the client can replay the received vehicle data in a simulated form to analyze and verify the performance and behavior of the vehicle.

[0057] In addition to data playback, the data playback module can also send remote control instructions to the actual vehicle to control and adjust the vehicle's behavior in real time. For example, during vehicle development or testing, engineers may need to verify the vehicle's response to specific instructions. By sending remote control instructions through the data playback module, these instructions can be directly executed on the actual vehicle.

[0058] On the client side, there is an execution verification module. The execution verification module conducts multiple verifications under different working condition data through test methods such as model in the loop, hardware in the loop, and test bench, including but not limited to:

[0059] Communication protocol verification: Verify the communication protocol between nodes in the automotive bus system to ensure it complies with regulations and can transmit data correctly and efficiently.

[0060] Functional verification: Verify whether the automotive bus system can achieve its designed functions, such as controlling various vehicle operations and transmitting sensor data.

[0061] Performance verification: Evaluate the performance of the automotive bus system under different working conditions, such as data transmission speed and stability.

[0062] Durability and reliability verification: Test the durability and reliability of the automotive bus system under long-term and high-load operation to ensure it can work continuously and stably.

[0063] Fault diagnosis and handling verification: Verify whether the automotive bus system can diagnose and handle faults in a timely manner to ensure the safety and normal operation of the vehicle.

[0064] Data acquisition verification: Verify whether the automotive bus system can accurately and completely acquire and record the required data.

[0065] During the verification process, if problems are encountered, debugging and correction can be carried out based on error messages or logs.

[0066] The cloud server also includes a verification report module: During the verification process, the data processed by each node will be transmitted to the cloud server through the vehicle-mounted communication module, such as vehicle-mounted Ethernet, CAN bus, or other wireless communication technologies. The verification report module of the cloud server will obtain this part of the data and compare it with the data selected by the user in the vehicle data module to determine whether there are any abnormalities; according to the results of the data comparison, the verification report module will give the test results. At the same time, the verification report module will also receive the test results of each node completed by the execution verification module, and these results include the performance, functions, fault handling, etc. of each node during the test process. Finally, a complete test report integrating all the above information and data will be obtained.

[0067] By implementing the method of the present invention, vehicle engineers only need to select the data to be replayed to complete the test and verification work of each module and cover the entire link. Create very precise and complex test cases to ensure that the vehicle electronic system can maintain correct behavior and performance under various working conditions. These tests help improve the reliability of the vehicle, ensure the safety of passengers, and comply with various industry and regulatory standards. As an example, some scenarios are as follows:

[0068] (1) Power-off / start scenario: Simulate the power-off process of the vehicle under different battery levels and check whether the status is correctly saved and relevant devices are turned off.

[0069] Verify the logic when the vehicle starts, such as whether the vehicle can correctly detect the start signal and activate each system in sequence.

[0070] (2) Network management features:

[0071] Simulate different network delays and packet losses to test the fault tolerance of the network management layer.

[0072] Evaluate the performance of the vehicle during network congestion, such as whether it can prioritize critical information.

[0073] (3) Data retransmission scenario:

[0074] Inject the retransmission of periodic messages and non-periodic messages and observe whether the system can correctly process duplicate data frames.

[0075] Analyze the retransmission strategy of the system for messages with different priorities to ensure that critical information is transmitted in a timely manner.

[0076] (4) Signal strength test:

[0077] Simulate different levels of signal strength to test the sensitivity and anti-interference ability of the vehicle communication system.

[0078] Under weak signal conditions, check whether the system will attempt to increase the transmission power or retry sending data.

[0079] (5) Time synchronization and accuracy:

[0080] Test the time synchronization mechanism of the vehicle system to ensure that all ECUs (Electronic Control Units) have a consistent time reference.

[0081] Measure the clock drift of the system and confirm whether it is within the allowable range.

[0082] (6) Error injection:

[0083] Deliberately introduce error frames or fault conditions to test the system's fault detection, diagnosis, and recovery processes.

[0084] (7) Extreme weather conditions:

[0085] Simulate weather conditions such as high temperature, low temperature, and humidity changes to test the environmental adaptability of the vehicle.

[0086] (8) Emergency situation simulation:

[0087] For scenarios such as emergency braking and obstacle avoidance, check the response speed and accuracy of safety-critical systems.

[0088] (9) Vehicle interaction scenarios: Simulate communication between vehicles and between vehicles and infrastructure to test the implementation of V2X functions.

[0089] (10) Software upgrade and rollback:

[0090] Test the data integrity and security during the OTA update process, as well as the software rollback mechanism when necessary.

[0091] (11) Sensor failure simulation:

[0092] Artificially cause critical sensors to fail and verify the effectiveness of the system's redundancy and backup strategies.

[0093] (12) Power fluctuations and power outages:

[0094] Simulate power instability and unexpected power outages to test the system's power management and data protection mechanisms.

[0095] (13) Multitasking ability:

[0096] Perform multiple operations simultaneously, such as turning on multiple electronic devices at the same time, to test the multitasking ability of the central processing unit.

[0097] (14) Illegal operations and security attacks:

[0098] Simulate illegal operations or malicious attacks, such as tampering with transmitted data, to test the vehicle's safety performance.

[0099] The scenarios listed above cover various working conditions that the vehicle electronic system may encounter, and they are actually the content that can be tested and verified in the embodiments of the present invention. By selecting the data corresponding to these scenarios for playback, vehicle engineers can use the method of the present invention to complete the test and verification work for these scenarios.

[0100] Corresponding to the vehicle simulation test method described in the foregoing Embodiment 1 of the present invention, Embodiment 2 of the present invention further provides a vehicle simulation test system, including:

[0101] A cloud server for converting the source vehicle data selected by the user into target vehicle data;

[0102] A client, configured to receive the target vehicle data and call an automotive bus software toolchain to replay the target vehicle data; further configured to load the replayed target data through the automotive bus software toolchain and perform test verification using a preset test method; and transmit the data after test verification to a cloud server;

[0103] The cloud server is further configured to compare the data after test verification with the source vehicle data selected by the user and generate a test report.

[0104] Preferably, the cloud server further includes a signal conversion module, configured to obtain the CAN database files corresponding to the source vehicle and the target vehicle; identify the signals of the source vehicle and the target vehicle according to the CAN database files, establish a mapping relationship between the signals, and convert the source vehicle data into the data format of the target vehicle.

[0105] Preferably, the client is specifically configured to: receive the target vehicle data to be replayed sent by the cloud server through a full-duplex communication connection established with the cloud server; and use the automotive bus software toolchain to replay the received target vehicle data in a simulated form.

[0106] Corresponding to the vehicle simulation test method described in the foregoing Embodiment 1 of the present invention, Embodiment 3 of the present invention further provides a vehicle simulation test device, including:

[0107] One or more processors;

[0108] A memory;

[0109] One or more applications, where the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to execute the vehicle simulation test method described in the foregoing Embodiment 1 of the present invention.

[0110] Corresponding to the vehicle simulation test method described in the foregoing Embodiment 1 of the present invention, Embodiment 4 of the present invention further provides a computer program product, including computer instructions, where the computer instructions instruct a computer device to execute the operations corresponding to the vehicle simulation test method described in the foregoing Embodiment 1 of the present invention.

[0111] Preferably, the processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor. The processor is the control center of the device, connecting various parts of the device through various interfaces and circuits.

[0112] The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function, etc., and the data storage area can store relevant data, etc. In addition, the memory may be a high-speed random access memory, or may also be a non-volatile memory, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a Flash Card, etc., or the memory may also be other volatile solid-state storage devices.

[0113] It should be noted that the above device may include but is not limited to a processor and a memory, which can be understood by those skilled in the art.

[0114] Regarding the working principle and process of the above embodiments, refer to the description of Embodiment 1 of the present invention above, and details will not be repeated here.

[0115] From the above description, it can be seen that compared with the prior art, the beneficial effects of the present invention are as follows: The present invention significantly improves the efficiency and convenience of vehicle testing. Users do not need to perform cumbersome data collection and preparation work, and can directly obtain a variety of vehicle data through the cloud server. These data cover different working conditions and are applicable to the test and verification of each node module of the vehicle, ensuring the comprehensiveness and accuracy of the test. The cloud-initiated method not only simplifies the test process but also realizes end-to-end coverage from data selection to test verification, greatly saving time and cost. At the same time, with the help of the high-efficiency data processing ability and real-time communication technology of the cloud server, users can efficiently utilize these data for various test methods such as model-in-the-loop and hardware-in-the-loop, further improving the test efficiency and quality.

[0116] The above-disclosed is only a preferred embodiment of the present invention. Of course, it cannot be used to limit the scope of the rights of the present invention. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

Claims

1. A vehicle simulation test method, characterized in that: The following steps are involved: Converting the source vehicle data selected by the user into target vehicle data in the cloud server; The client receives the target vehicle data and calls the vehicle bus software tool chain to play back the target vehicle data; The client loads and replays the target data through the vehicle bus software tool chain, and performs test verification using a preset test method; The client transmits the test-verified data to the cloud server, which compares it with the source vehicle data selected by the user and generates a test report.

2. The method according to claim 1, characterized in that: The converting the source vehicle data selected by the user into the target vehicle data in the cloud server specifically includes: Get the CAN database files corresponding to the source vehicle and the target vehicle; According to the CAN database file, the signals of the source vehicle and the target vehicle are identified, and a mapping relationship between the signals is established to convert the source vehicle data into the data format of the target vehicle.

3. The method according to claim 2, characterized in that During the data conversion process, if the signals of the source and target vehicles differ in data type, unit, period, and range, unnecessary information is removed or missing information is filled.

4. The method according to claim 1, characterized in that: The client receives the target vehicle data and calls the vehicle bus software tool chain to play back the target vehicle data, specifically including: The client receives the target vehicle data to be replayed from the cloud server through a full-duplex communication connection established with the cloud server; The client uses the vehicle bus software tool chain to play back the received target vehicle data in a simulated form.

5. The method according to claim 1, characterized in that The preset test method is any one of model-in-the-loop test, hardware-in-the-loop test, and bench test; the multiple verifications under different working conditions data include any combination of communication protocol verification, functional verification, performance verification, durability and reliability verification, fault diagnosis and processing verification, and data acquisition verification.

6. A vehicle simulation test system, characterized in that: include: A cloud server, used to convert source vehicle data selected by a user into target vehicle data; The client is used to receive the target vehicle data and call the vehicle bus software tool chain to replay the target vehicle data; it is also used to load the replayed target data through the vehicle bus software tool chain and perform test verification using a preset test method; and transmitting the tested and verified data to the cloud server; The cloud server is also used to compare the test-verified data with the source vehicle data selected by the user and generate a test report.

7. The system according to claim 6, characterized in that The cloud server further includes a signal conversion module, which is used to obtain CAN database files corresponding to the source vehicle and the target vehicle; according to the CAN database files, the signals of the source vehicle and the target vehicle are identified, and a mapping relationship between the signals is established to convert the source vehicle data into the data format of the target vehicle.

8. The system according to claim 6, characterized in that The client is specifically used for: receiving the target vehicle data to be replayed sent by the cloud server through a full-duplex communication connection established with the cloud server; and using the vehicle bus software tool chain to replay the received target vehicle data in a simulated form.

9. A vehicle simulation test device, characterized in that: include: one or more processors; Memory; One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to execute the vehicle simulation test method according to any one of claims 1 to 5.

10. A computer program product, characterized in that The method comprises computer instructions, wherein the computer instructions instruct a computer device to execute operations corresponding to the method according to any one of claims 1 to 5.

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