CN117472751A - Vehicle system function analysis method, device, equipment and medium - Google Patents
Vehicle system function analysis method, device, equipment and medium Download PDFInfo
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Abstract
The invention discloses a vehicle system function analysis method, device, equipment and medium. A vehicle system function analysis method, comprising: acquiring a target vehicle system function test case; executing target test logic by the target vehicle system function test case: acquiring target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results; determining an expected test curve based on the target vehicle system function test parameters and the target system function prediction function; generating a test curve to be compared according to a functional test result of the target vehicle system; and performing curve fitting on the expected test curve and the test curve to be compared, and determining a functional test analysis result. The technical scheme of the embodiment of the invention can save labor cost and time cost and has lower requirement on professional knowledge of testers.
Description
Technical Field
The present invention relates to the field of testing technologies, and in particular, to a method, an apparatus, a device, and a medium for analyzing functions of a vehicle system.
Background
In testing vehicle functions, tests for continuous signals as well as for variable signals are often encountered. At present, the testing personnel mainly collect discrete test data and complete further analysis, so that the professional requirements on the testing personnel are high, and the labor cost and the time cost are high.
Disclosure of Invention
The invention provides a vehicle system function analysis method, device, equipment and medium, which are used for solving the problems of higher requirements on professional knowledge of testers, high labor cost and high time cost of continuous signal and variable signal tests in vehicle function tests.
According to an aspect of the present invention, there is provided a vehicle system function analysis method including:
acquiring a target vehicle system function test case;
executing target test logic by the target vehicle system function test case: acquiring target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results; determining an expected test curve based on the target vehicle system function test parameters and the target system function prediction function; generating a test curve to be compared according to a functional test result of the target vehicle system; and performing curve fitting on the expected test curve and the test curve to be compared, and determining a functional test analysis result.
According to another aspect of the present invention, there is provided a vehicle system function test apparatus including:
the test case acquisition module is used for acquiring the functional test case of the target vehicle system;
the test module is used for executing the following logic through the functional test cases of the target vehicle system: acquiring target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results; determining an expected test curve based on the target vehicle system function test parameters and the target system function prediction function; generating a test curve to be compared according to a functional test result of the target vehicle system; and performing curve fitting on the expected test curve and the test curve to be compared, and determining a functional test analysis result.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the vehicle system function analysis method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute the method for analyzing a vehicle system function according to any one of the embodiments of the present invention.
According to the technical scheme, the target test logic is executed by acquiring the functional test cases of the target vehicle system and further by the functional test cases of the target vehicle system: the method comprises the steps of obtaining target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results, accordingly determining expected test curves based on the target vehicle system function test parameters and the target system function prediction functions, further generating test curves to be compared according to the target vehicle system function test results, conducting curve fitting on the expected test curves and the test curves to be compared, and determining function test analysis results. Based on the target vehicle system function test case in the scheme, the limitation of a tester on the analysis of some vehicle system functions only based on discrete data can be eliminated, the improvement from the discrete data to the analysis dimension of the curve is realized, the expected test curve and the test curve to be compared are subjected to curve fitting, the obtained function test analysis result can be directly used for reflecting the difference between the test result and the expected test result, the problems of high requirements on the expertise of the tester, high labor cost and time cost in the vehicle function test are solved, the labor cost can be saved, and the expertise requirement on the tester is lower.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for analyzing functions of a vehicle system according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a method for analyzing functions of a vehicle system according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a vehicle system function analysis device according to a third embodiment of the present invention;
fig. 4 shows a schematic diagram of the structure of an electronic device that may be used to implement an embodiment of the invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the term "object" and the like in the description of the present invention and the claims and the above drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a vehicle system function analysis method according to a first embodiment of the present invention, where the method may be performed by a vehicle system function test device, and the vehicle system function test device may be implemented in hardware and/or software, and the vehicle system function test device may be configured in an electronic device. As shown in fig. 1, the method includes:
step 110, obtaining a functional test case of the target vehicle system.
The target vehicle system function test case can be a test case required by the current function test of the vehicle. By way of example, the target vehicle system function test case may be one for a vehicle system function test that is non-linear with respect to a plurality of signal changes, test results, and non-constant with respect to a desired result of the test.
In the embodiment of the invention, the functional test case of the target vehicle system can be obtained according to the test requirement.
Step 120, executing target test logic by the target vehicle system function test case: acquiring target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results; determining an expected test curve based on the target vehicle system function test parameters and the target system function prediction function; generating a test curve to be compared according to a functional test result of the target vehicle system; and performing curve fitting on the expected test curve and the test curve to be compared, and determining a functional test analysis result.
The target test logic may be execution logic of a target vehicle system function test case. The target vehicle system function test parameters may be test parameters preset in the target vehicle system function test case. The target system function prediction function may be a function of determining a desired prediction result based on target vehicle system function test parameters in a target vehicle system function test case. The target system function prediction function may include, but is not limited to, a test function known in connection with the function of the vehicle system under test. The target vehicle system function test result may be a test result of the vehicle system function resulting from execution of the target test logic.
The desired test curve may be a curve determined based on target vehicle system function test parameters and a target system function prediction function. The expected test curve may be used to characterize expected test results that match the target test logic. The test curve to be compared may be a curve determined based on the functional test results of the target vehicle system. The desired test curve and the test curve to be compared are two curves drawn for the same independent variable and dependent variable. The functional test analysis result may be a determination result of the vehicle performance determined based on the fitting degree of the desired test curve and the test curve to be compared. The functional test analysis results may include, but are not limited to, data that meets the vehicle system functional requirements, does not meet the vehicle system functional requirements, or curve matching, etc., may be analyzed from the fitting of the desired test curve and the test curve to be compared.
In the embodiment of the invention, the target vehicle system function test case can be operated, further the target vehicle system function test parameters and the target system function prediction function are determined, the vehicle function test result based on the target vehicle system function test parameters is further obtained, the target vehicle system function test result is obtained, the target vehicle system function test parameters and the target system function prediction function are utilized to draw a desired test curve, the test curve to be compared is drawn according to the target vehicle system function test result and the drawing variable of the desired test curve, and further the desired test curve and the test curve to be compared are subjected to curve fitting, so that the function test analysis result is obtained.
For example, if the fitting degree of the expected test curve and the test curve to be compared is low, it may be determined that the tested vehicle system is not good. If the fitting degree of the expected test curve and the test curve to be compared is higher, the vehicle system to be tested can be judged to have good functions. The fitting degree can be judged by the experience of the testers.
According to the technical scheme, the target test logic is executed by acquiring the functional test cases of the target vehicle system and further by the functional test cases of the target vehicle system: the method comprises the steps of obtaining target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results, accordingly determining expected test curves based on the target vehicle system function test parameters and the target system function prediction functions, further generating test curves to be compared according to the target vehicle system function test results, conducting curve fitting on the expected test curves and the test curves to be compared, and determining function test analysis results. Based on the target vehicle system function test case in the scheme, the limitation of a tester on the analysis of some vehicle system functions only based on discrete data can be eliminated, the improvement from the discrete data to the analysis dimension of the curve is realized, the expected test curve and the test curve to be compared are subjected to curve fitting, the obtained function test analysis result can be directly used for reflecting the difference between the test result and the expected test result, the problems of high requirements on the expertise of the tester, high labor cost and time cost in the vehicle function test are solved, the labor cost can be saved, and the expertise requirement on the tester is lower.
Example two
Fig. 2 is a flowchart of a vehicle system function analysis method according to a second embodiment of the present invention, which is embodied based on the foregoing embodiment, and provides a specific alternative implementation manner of determining a desired test curve based on a target vehicle system function test parameter and a target system function prediction function. As shown in fig. 2, the method includes:
step 210, obtaining a functional test case of the target vehicle system.
Step 220, executing target test logic through the target vehicle system function test case: acquiring target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results; determining a target independent variable in the target vehicle system function test parameters; drawing an expected test curve matched with the target independent variable according to the target vehicle system function test parameters, the target vehicle system function test results and the target system function prediction function; generating a test curve to be compared according to a functional test result of the target vehicle system; and performing curve fitting on the expected test curve and the test curve to be compared, and determining a functional test analysis result.
The target argument may be an argument for drawing a desired test curve, among others.
Specifically, after the target vehicle system function test parameter, the target system function prediction function and the target vehicle system function test result are obtained, the target independent variable can be further determined from the target vehicle system function test parameter, so that the value corresponding to the target vehicle system function test parameter is determined according to the target vehicle system function test result, the value corresponding to the corresponding target vehicle system function test parameter is substituted into the target system function prediction function according to the value change of the target independent variable, and the expected test curve matched with the target independent variable is drawn. After generating a test curve to be compared based on the functional test result of the target vehicle system, performing curve fitting on the expected test curve and the test curve to be compared to obtain a functional test analysis result.
Optionally, after the functional test analysis result is obtained, the functional test analysis result, the expected test curve and the test curve to be compared may also be displayed.
In an alternative embodiment of the present invention, generating a test curve to be compared according to the functional test result of the target vehicle system may include: determining target drawing data according to the target independent variable and a target vehicle system function test result; and generating a test curve to be compared based on the target independent variable and the target drawing data.
The target drawing data can be used for drawing a test curve to be compared.
In the embodiment of the invention, the ordinate variable of the expected test curve, namely the dependent variable corresponding to the target independent variable, is determined, the numerical value corresponding to the dependent variable and the numerical value corresponding to the target independent variable are analyzed from the functional test result of the target vehicle system, and the target drawing data is obtained, so that the test curve to be compared is obtained by drawing according to the association relation between the numerical value corresponding to the target independent variable and the numerical value corresponding to the dependent variable and the change of the target independent variable.
In an alternative embodiment of the present invention, the target system function prediction function comprises:where v1 represents the target rotational speed at which the vehicle speed reaches the target amount, v2 represents the clutch rotational speed, and v3 represents the vehicle start stage control vehicle speed.
The target vehicle system function test case can be a clutch function test case or an engine test case.
For example, the target test logic of the test case will be described using the clutch function test as an example: setting v1, v2 and v3 in the test step, generating expected test curves of the target engine speed according to the parameters, further collecting the target engine speed in the functional test result of the vehicle system, and generating a test curve to be compared, so as to perform curve fitting on the expected test curve and the test curve to be compared, calculating the fitting degree, and judging whether the fitting degree meets the requirement according to the application scene. v2 corresponds to a target independent variable, and the dependent variable corresponding to the target independent variable is an engine target rotation speed value.
In an alternative embodiment of the present invention, obtaining the target vehicle system function test case may include: acquiring the test case function classification of the test case database; and determining the target vehicle system function test case from the test case database according to the test case function classification and the vehicle system function to be tested.
The test case database may be a database storing test cases of functions of the vehicle system. The test case function classification may be a classification of test cases according to test types of vehicle test functions. The vehicle system function to be tested may be a vehicle system function based on a target vehicle system function test case test.
In the embodiment of the invention, the test cases can be stored in the test case database according to the test case function classification and can be supported for calling at any time, so that the test case function classification of the test case database needs to be acquired before the test cases required by the test case database are searched, and then the test cases of the target vehicle system function are called from the test case database based on the test types corresponding to the test vehicle system functions to be tested.
Optionally, the test case database can be logged in by the client of the user through different platforms, so that the user can view the data at any time. The existing test case templates and test cases stored in the test case database can be directly called from the database when the user test cases are developed, so that the development efficiency of the test cases is improved. The test case database can also sort functional test analysis results, and the proportion of passing and failure detection is detected through the form of a chart.
In an alternative embodiment of the present invention, executing the target test logic with the target vehicle system functional test case may include: importing the functional test cases of the target vehicle system into automatic test software; and executing the target test logic according to the functional test cases of the target vehicle system by the automatic test software.
The automated test software may be any software that is capable of loading test cases to test the test equipment. Automated test software may include, but is not limited to Automationdesk, TAE, etc. Automation desk/TAE is a tool for creating and managing automatic operation tasks, and comprises various test function modules, and the test function modules are packaged by python code files.
In the embodiment of the invention, the acquired functional test cases of the target vehicle system can be imported into the automatic test software, so that the loaded functional test cases of the target vehicle system are executed through the automatic test software, and the corresponding vehicle system functions are tested without manually building a test module.
In an alternative embodiment of the present invention, the test case database supports test case editing and historical test case table importation.
The historical test case table may be a table of summary of test cases of existing vehicle system functions.
In the embodiment of the invention, the test case database can support the editing of the test cases, realize the development of the test cases, and also can import historical test case tables, thereby being convenient for data management and summarization.
For example, the test function module and the test function module of the vehicle system can be correspondingly implemented by adding the test case of the vehicle system function into each test function module and configuring interface information, so that the table of the historical test case can be read, for example, the table is traversed by using a for statement. The script design of the test case of the interface is divided into three parts: and reading a corresponding historical test case table, and forming the dictionary by the table where the test case is located with the parameters and the values of the interface. And packaging the combined entry dictionary into a list form, and reading corresponding entry data according to the use case title.
The test is an important ring in the whole life cycle of a product or a system, the design and the generation of the test case are one of the most basic and critical tasks in the whole test work, the test case reflects the test scheme, the method, the technology and the strategy, the test case is tightly combined with the requirements of the tested object such as the function to be tested, the performance, the test scene and the like, the method has the characteristic of pertinence, and the test case management is convenient and quick, so that the test case development can be efficiently completed by a tester.
According to the technical scheme, the target test logic is executed by acquiring the functional test cases of the target vehicle system and by the functional test cases of the target vehicle system: obtaining target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results, determining target independent variables in the target vehicle system function test parameters, drawing expected test curves matched with the target independent variables according to the target vehicle system function test parameters, the target vehicle system function test results and the target system function prediction functions, further generating test curves to be compared according to the target vehicle system function test results, fitting the expected test curves with the test curves to be compared, and determining function test analysis results. Based on the target vehicle system function test case in the scheme, the limitation of a tester on the analysis of some vehicle system functions only based on discrete data can be eliminated, the improvement from the discrete data to the analysis dimension of the curve is realized, the expected test curve and the test curve to be compared are subjected to curve fitting, the obtained function test analysis result can be directly used for reflecting the difference between the test result and the expected test result, the problems of high requirements on the expertise of the tester, high labor cost and time cost in the vehicle function test are solved, the labor cost can be saved, and the expertise requirement on the tester is lower.
Example III
Fig. 3 is a schematic structural diagram of a vehicle system function analysis device according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes:
the test case acquisition module 310 is configured to acquire a functional test case of the target vehicle system;
the test module 320 is configured to execute the following logic by using the target vehicle system function test case: acquiring target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results; determining a desired test curve based on the target vehicle system function test parameters and the target system function prediction function; generating a test curve to be compared according to the function test result of the target vehicle system; and performing curve fitting on the expected test curve and the test curve to be compared, and determining a functional test analysis result.
According to the technical scheme, the target test logic is executed by acquiring the functional test cases of the target vehicle system and further by the functional test cases of the target vehicle system: the method comprises the steps of obtaining target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results, accordingly determining expected test curves based on the target vehicle system function test parameters and the target system function prediction functions, further generating test curves to be compared according to the target vehicle system function test results, conducting curve fitting on the expected test curves and the test curves to be compared, and determining function test analysis results. Based on the target vehicle system function test case in the scheme, the limitation of a tester on the analysis of some vehicle system functions only based on discrete data can be eliminated, the improvement from the discrete data to the analysis dimension of the curve is realized, the expected test curve and the test curve to be compared are subjected to curve fitting, the obtained function test analysis result can be directly used for reflecting the difference between the test result and the expected test result, the problems of high requirements on the expertise of the tester, high labor cost and time cost in the vehicle function test are solved, the labor cost can be saved, and the expertise requirement on the tester is lower.
Optionally, a test module 320 is configured to determine a target argument in the target vehicle system functional test parameters; and drawing an expected test curve matched with the target independent variable according to the target vehicle system function test parameters, the target vehicle system function test results and the target system function prediction function.
Optionally, a test module 320 is configured to determine target drawing data according to the target independent variable and the target vehicle system function test result; and generating the test curve to be compared based on the target independent variable and the target drawing data.
Optionally, the target system functionsA predictive function comprising:where v1 represents the target rotational speed at which the vehicle speed reaches the target amount, v2 represents the clutch rotational speed, and v3 represents the vehicle start stage control vehicle speed.
Optionally, a test case obtaining module 310 is configured to obtain a test case function classification of the test case database; and determining the target vehicle system function test case from the test case database according to the test case function classification and the vehicle system function to be tested.
Optionally, a test module 320 is configured to import the functional test cases of the target vehicle system into automated test software; and executing the target test logic according to the functional test cases of the target vehicle system by the automatic test software.
Optionally, the test case database supports test case editing and historical test case table importing.
The vehicle system function analysis device provided by the embodiment of the invention can execute the vehicle system function analysis method provided by any embodiment of the invention, and has the corresponding function modules and beneficial effects of the execution method.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the vehicle system function test method.
In some embodiments, the vehicle system functional test method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the vehicle system function test method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the vehicle system functional test method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A vehicle system function analysis method, characterized by comprising:
acquiring a target vehicle system function test case;
executing target test logic by the target vehicle system function test case: acquiring target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results; determining a desired test curve based on the target vehicle system function test parameters and the target system function prediction function; generating a test curve to be compared according to the function test result of the target vehicle system; and performing curve fitting on the expected test curve and the test curve to be compared, and determining a functional test analysis result.
2. The method of claim 1, wherein the determining a desired test curve based on the target vehicle system function test parameter and the target system function prediction function comprises:
determining a target independent variable in the target vehicle system function test parameters;
and drawing an expected test curve matched with the target independent variable according to the target vehicle system function test parameters, the target vehicle system function test results and the target system function prediction function.
3. The method of claim 2, wherein generating a test curve to be compared based on the target vehicle system functional test results comprises:
determining target drawing data according to the target independent variable and the target vehicle system function test result;
and generating the test curve to be compared based on the target independent variable and the target drawing data.
4. The method of claim 1, wherein the target system function prediction function comprises:
where v1 represents the target rotational speed at which the vehicle speed reaches the target amount, v2 represents the clutch rotational speed, and v3 represents the vehicle start stage control vehicle speed.
5. The method of claim 1, wherein the obtaining the target vehicle system functional test case comprises:
acquiring the test case function classification of the test case database;
and determining the target vehicle system function test case from the test case database according to the test case function classification and the vehicle system function to be tested.
6. The method of claim 1, wherein the executing the target test logic with the target vehicle system functional test case comprises:
importing the target vehicle system function test cases into automatic test software;
and executing the target test logic according to the functional test cases of the target vehicle system by the automatic test software.
7. The method of claim 5, wherein the test case database supports test case editing and historical test case table importation.
8. A vehicle system function test device, characterized by comprising:
the test case acquisition module is used for acquiring the functional test case of the target vehicle system;
the test module is used for executing the following logic through the functional test case of the target vehicle system: acquiring target vehicle system function test parameters, target system function prediction functions and target vehicle system function test results; determining a desired test curve based on the target vehicle system function test parameters and the target system function prediction function; generating a test curve to be compared according to the function test result of the target vehicle system; and performing curve fitting on the expected test curve and the test curve to be compared, and determining a functional test analysis result.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the vehicle system function analysis method of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to perform the vehicle system function analysis method of any one of claims 1-7.
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| CN202311423382.4A CN117472751A (en) | 2023-10-30 | 2023-10-30 | Vehicle system function analysis method, device, equipment and medium |
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| CN202311423382.4A CN117472751A (en) | 2023-10-30 | 2023-10-30 | Vehicle system function analysis method, device, equipment and medium |
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