CN117768348A - Test method for HCU (hybrid control Unit) diagnosis of CANoe network - Google Patents
Test method for HCU (hybrid control Unit) diagnosis of CANoe network Download PDFInfo
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Abstract
The invention relates to the technical field of CAPL script automatic network diagnosis test, and discloses a test method of a CANoe network diagnosis HCU, which comprises the following steps: step one, inputting basic information and test requirements of HCU; step two, configuring a CANoe test environment by the system; step three, the system automatically records and analyzes the CAN message; step four, the system monitors and diagnoses the HCU in real time; step five, the system generates a test report including the performance and stability conditions of the HCU; and step six, the testers browse the report and further analyze and optimize the report according to the requirement. According to the invention, by automatically recording and analyzing the CAN message and carrying out real-time monitoring and diagnosis according to the preset test requirement, the system CAN detect the possible problems of HCU in the network environment, such as message loss, excessively high delay and the like, and generate a corresponding test report, thereby reducing the workload of testers, and achieving the beneficial effects of reducing the configuration work of the testers and improving the test efficiency.
Description
Technical Field
The invention relates to the technical field of CAPL script automatic network diagnosis test, in particular to a test method for diagnosing HCU by a CANoe network.
Background
At present, the new energy automobile industry is vigorously developed, the development of the new energy automobile is a necessary way from the automobile country to the automobile country, and the development of the new energy automobile is a strategic measure for coping with climate change and promoting green development. The development directions of the new energy automobile include hybrid electric power and oil type hybrid electric power, plug-in type hybrid electric power, range-extending type, pure electric and hydrogen fuel automobiles. The scheme of the hybrid automobile is the preferred scheme for people to select the automobile type in the face of reality of wide China territory, large population flow across areas and the like.
In a hybrid vehicle, a Hybrid Control Unit (HCU) is one of the core components of an automotive electronic system, and the Hybrid Control Unit (HCU) plays a vital role in the vehicle. The HCU is responsible for controlling various functions of the vehicle, such as engine control, braking systems, drive systems, and the like. Since the performance and stability of an HCU are directly related to the safety and performance of a vehicle, it is critical to conduct comprehensive testing of the HCU in order to ensure the safety, reliability and performance of an automobile. Thus requiring extensive testing of HCUs.
Currently, one common test method is to use CANoe software for network diagnostics of HCUs. CANoe is a tool widely used in automobile electronic system testing, which CAN simulate the behavior of an Electronic Control Unit (ECU), send and receive CAN messages, and monitor and diagnose in real time.
However, current testing methods have some problems. For example, due to the complexity and diversity of the CANoe network environment, it is often difficult for a tester to properly configure the CANoe's test environment. In addition, a large number of CAN messages need to be recorded and analyzed manually during the test, which increases the test time and workload
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a test method for diagnosing HCU by a CANoe network, which has the advantages of reducing configuration work of testers, improving test efficiency, automatically recording and analyzing CAN messages, relieving workload of the testers, timely detecting possible problems of HCU, facilitating advanced optimization and repair and the like, and solving the problems of the technology.
(II) technical scheme
In order to achieve the above purpose, the present invention provides the following technical solutions: a test method for diagnosing HCU by CANoe network comprises the following steps:
step one, inputting basic information and test requirements of HCU;
step two, configuring a CANoe test environment by the system;
step three, the system automatically records and analyzes the CAN message;
step four, the system monitors and diagnoses the HCU in real time;
step five, the system generates a test report including the performance and stability conditions of the HCU;
and step six, the testers browse the report and further analyze and optimize the report according to the requirement.
Preferably, the test type in the first step includes a rising edge slope test, a falling edge slope test, a ground offset test, a bit time test, and a sampling point test.
Through the technical scheme, through automatically recording and analyzing the CAN message and carrying out real-time monitoring and diagnosis according to the preset test requirement, the system CAN detect the possible problems of HCU in the network environment, such as message loss, excessively high delay and the like, and generate a corresponding test report, and a tester CAN know the performance and stability of the HCU by only browsing the report, thereby reducing the workload of the tester.
Preferably, the basic information and the test requirements in the first step include the following steps:
s1.1, opening CANoe software and creating a new test item;
s1.2, finding an HCU node in the CANoe project tree, and clicking a selection attribute right-click;
s1.3, filling in basic information of the HCU in an HCU attribute setting interface, wherein the basic information comprises a name, a manufacturer and a version number;
s1.4, finding out options related to test requirements in an attribute setting interface, and setting functions, communication protocols and CAN network parameters which need to be monitored and diagnosed;
and S1.5, after the proper option setting is selected, saving the configuration and closing the interface.
Through the technical scheme, through an automatic configuration technology, a tester can automatically configure the test environment of the CANoe by only inputting basic information and test requirements of the HCU, and the tester does not need to manually configure the CANoe any more by setting the communication rate and creating a message database, so that the test process is greatly simplified.
Preferably, the test environment for configuring the CANoe in the second step includes the following steps:
s2.1, finding a Configuration node in a CANoe project tree, and clicking right to create a new Configuration;
s2.2, in a configuration attribute setting interface, configuring network equipment, wherein the network equipment comprises a CAN bus interface, an emulator and a gateway, and is used for connecting a CANoe to a vehicle network;
s2.3, selecting a predefined vehicle model, or creating a custom simulation model according to the requirement to complete simulation model configuration;
s2.4, configuring nodes, simulating CAN nodes of each control unit in the vehicle, setting communication parameters and simulation models of the nodes, configuring the network of the nodes, and defining parameters of a CAN network, including network bit rate, frame ID and node configuration;
s2.5, configuring a communication protocol;
s2.6, starting diagnosis related functions, such as supporting UDS diagnosis and DTC management.
Through the technical scheme, the performance and stability of the automobile HCU in the CANoe network environment can be effectively tested on the basis of automatic configuration and intelligent analysis.
Preferably, the CAN node in S2.4 includes an HCU, the communication protocol in S2.5 includes CAN, LIN, and FlexRay, and the UDS diagnosis in S2.6 includes a diagnosis controller, a diagnosis token, a diagnosis session, and a diagnosis service.
Preferably, the configuring the communication protocol in S2.5 includes the following steps:
SS1, find the Configuration node in CANoe's project tree, and right click the selection attribute;
SS2, in the configuration attribute setting interface, selecting a 'Network' tag page;
SS3, putting through a CAN bus interface in a network configuration interface;
SS4, in the attribute setting of the network equipment, finding the relevant options of the communication protocol;
SS5, according to the actual communication protocol, selecting the corresponding option, selecting CAN communication type and bit rate or selecting LIN communication type and version number;
and SS6, carrying out configuration of other network equipment according to the requirement, such as setting the number of network nodes and node IDs.
Preferably, the automatic recording of the system in the third step includes the following steps:
s3.1, opening CANoe software and opening a previously created test item;
s3.2, finding a Configuration node in the CANoe project tree, and clicking a selection attribute right-click;
s3.3, selecting a Simulation label page in a configuration attribute setting interface;
s3.4, finding a 'Recorder' option in a simulation configuration interface, starting the Recorder, and configuring parameters of the Recorder, including file names, storage positions and recorded signals or messages of the Recorder;
and S3.5, setting a trigger condition to control the start and stop time of the recorder, wherein the trigger condition comprises triggering according to a specific event, the numerical value of a specific signal and the like, and selecting a set scrolling mode, namely automatically covering the oldest data when the size of the recorded file reaches a preset value so as to keep the continuous operation of the recorder.
Preferably, the recorded CAN message uses an Analysis tool provided by CANoe, and the Analysis step is to find an Analysis module (Analysis Modules) node in a project tree of CANoe, and right click to select and add the Analysis module.
Preferably, the step four of real-time monitoring includes the following steps:
s4.1, setting up on-line monitoring: connecting the HCU to a CANoe simulation environment by using a network configuration function provided by the CANoe, configuring corresponding network equipment and communication parameters, and enabling the CANoe to receive and analyze CAN messages from the HCU in real time through online monitoring;
s4.2, signal monitoring: using a monitoring window of CANoe to check CAN information received in real time and signal values in the CAN information;
s4.3, monitoring and diagnosing events: using a CANoe event window to monitor and record events related to the HCU, including the triggering of fault codes and the change of specific signal values;
s4.4, performing fault diagnosis and problem investigation of the HCU through real-time monitoring, diagnosis service and data analysis.
Preferably, the generating the test Report in the fifth step is using a Report generating tool provided by CANoe, including Report Generator, and automatically generating a Report based on the measurement data, wherein the Report includes test summary, performance index and stability assessment.
Compared with the prior art, the invention provides a test method for diagnosing HCU by CANoe network, which has the following beneficial effects:
1. according to the invention, through automatically recording and analyzing the CAN message and carrying out real-time monitoring and diagnosis according to the preset test requirement, the system CAN detect the possible problems of HCU in the network environment, such as message loss, too high delay and the like, and generate a corresponding test report, and a tester CAN know the performance and stability of the HCU by only browsing the report, thereby reducing the workload of the tester, and achieving the beneficial effects of reducing the configuration work of the tester and improving the test efficiency.
2. According to the invention, by means of an automatic configuration technology, a tester CAN automatically configure the test environment of the CANoe by only inputting basic information and test requirements of the HCU, including setting communication rate and creating a message database, the tester does not need to manually configure the CANoe, so that the test process is greatly simplified, automatic recording and analysis of the CAN message are achieved, and the workload of the tester is reduced.
3. The invention can effectively test the performance and stability of the HCU of the automobile under the CANoe network environment by taking automatic configuration and intelligent analysis as the basis, thereby achieving the beneficial effects of timely detecting the possible problems of the HCU and being beneficial to optimization and repair in advance.
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FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a test method for diagnosing HCU by a CANoe network includes the following steps:
step one, inputting basic information and test requirements of HCU;
step two, configuring a CANoe test environment by the system;
step three, the system automatically records and analyzes the CAN message;
step four, the system monitors and diagnoses the HCU in real time;
step five, the system generates a test report including the performance and stability conditions of the HCU;
and step six, the testers browse the report and further analyze and optimize the report according to the requirement.
Specifically, the test types in the first step include a rising edge slope test, a falling edge slope test, a ground offset test, a bit time test and a sampling point test, and the method has the advantages that through automatic recording and analysis of CAN messages and real-time monitoring and diagnosis according to preset test requirements, the system CAN detect problems possibly occurring in the HCU under the network environment, such as message loss, too high delay and the like, and generate corresponding test reports, and a tester CAN know the performance and stability conditions of the HCU only by browsing the reports, so that the workload of the tester is reduced.
Specifically, the basic information and the test requirements in the first step include the following steps:
s1.1, opening CANoe software and creating a new test item;
s1.2, finding an HCU node in the CANoe project tree, and clicking a selection attribute right-click;
s1.3, filling in basic information of the HCU in an HCU attribute setting interface, wherein the basic information comprises a name, a manufacturer and a version number;
s1.4, finding out options related to test requirements in an attribute setting interface, and setting functions, communication protocols and CAN network parameters which need to be monitored and diagnosed;
and S1.5, after the proper option setting is selected, saving the configuration and closing the interface.
The automatic configuration method has the advantages that by means of the automatic configuration technology, a tester can automatically configure the test environment of the CANoe by only inputting basic information and test requirements of the HCU, and the tester does not need to manually configure the CANoe by setting communication rate and creating a message database, so that the test process is greatly simplified.
Specifically, the test environment for configuring the CANoe in the second step includes the following steps:
s2.1, finding a Configuration node in a CANoe project tree, and clicking right to create a new Configuration;
s2.2, in a configuration attribute setting interface, configuring network equipment, wherein the network equipment comprises a CAN bus interface, an emulator and a gateway, and is used for connecting a CANoe to a vehicle network;
s2.3, selecting a predefined vehicle model, or creating a custom simulation model according to the requirement to complete simulation model configuration;
s2.4, configuring nodes, simulating CAN nodes of each control unit in the vehicle, setting communication parameters and simulation models of the nodes, configuring the network of the nodes, and defining parameters of a CAN network, including network bit rate, frame ID and node configuration;
s2.5, configuring a communication protocol;
s2.6, starting diagnosis related functions, such as supporting UDS diagnosis and DTC management.
The method has the advantages that the performance and stability of the automobile HCU in the CANoe network environment can be effectively tested on the basis of automatic configuration and intelligent analysis.
Specifically, the CAN node in S2.4 includes an HCU, the communication protocol in S2.5 includes CAN, LIN, and FlexRay, and the UDS diagnostics in S2.6 includes a diagnostic controller, a diagnostic token, a diagnostic session, and a diagnostic service.
Specifically, the configuring the communication protocol in S2.5 includes the following steps:
SS1, find the Configuration node in CANoe's project tree, and right click the selection attribute;
SS2, in the configuration attribute setting interface, selecting a 'Network' tag page;
SS3, putting through a CAN bus interface in a network configuration interface;
SS4, in the attribute setting of the network equipment, finding the relevant options of the communication protocol;
SS5, according to the actual communication protocol, selecting the corresponding option, selecting CAN communication type and bit rate or selecting LIN communication type and version number;
and SS6, carrying out configuration of other network equipment according to the requirement, such as setting the number of network nodes and node IDs.
Specifically, the automatic recording of the system in the third step comprises the following steps:
s3.1, opening CANoe software and opening a previously created test item;
s3.2, finding a Configuration node in the CANoe project tree, and clicking a selection attribute right-click;
s3.3, selecting a Simulation label page in a configuration attribute setting interface;
s3.4, finding a 'Recorder' option in a simulation configuration interface, starting the Recorder, and configuring parameters of the Recorder, including file names, storage positions and recorded signals or messages of the Recorder;
and S3.5, setting a trigger condition to control the start and stop time of the recorder, wherein the trigger condition comprises triggering according to a specific event, the numerical value of a specific signal and the like, and selecting a set scrolling mode, namely automatically covering the oldest data when the size of the recorded file reaches a preset value so as to keep the continuous operation of the recorder.
Specifically, the recorded CAN message uses an Analysis tool provided by CANoe, and the Analysis steps are that an Analysis module (Analysis Modules) node is found in a project tree of the CANoe, and the Analysis module is added by right click selection.
Specifically, the real-time monitoring in the fourth step includes the following steps:
s4.1, setting up on-line monitoring: connecting the HCU to a CANoe simulation environment by using a network configuration function provided by the CANoe, configuring corresponding network equipment and communication parameters, and enabling the CANoe to receive and analyze CAN messages from the HCU in real time through online monitoring;
s4.2, signal monitoring: using a monitoring window of CANoe to check CAN information received in real time and signal values in the CAN information;
s4.3, monitoring and diagnosing events: using a CANoe event window to monitor and record events related to the HCU, including the triggering of fault codes and the change of specific signal values;
s4.4, performing fault diagnosis and problem investigation of the HCU through real-time monitoring, diagnosis service and data analysis.
Specifically, in the fifth step, a test Report is generated by using Report generating tools provided by CANoe, including Report generators, and based on measurement data, the Report is automatically generated, and the Report includes test summaries, performance indexes and stability assessment.
Furthermore, the testing method of the invention can be improved and expanded to meet the requirements of the continuously developed automobile electronic technology.
Advanced diagnostic function: higher level diagnostic functions such as failure mode identification and fault localization are introduced.
Through deep analysis and pattern matching of the CAN message, the system CAN accurately identify potential fault modes and determine the specific position of fault occurrence, thereby being beneficial to improving the accuracy and speed of fault diagnosis.
Multiprotocol support: in addition to the CAN protocol, other network protocols are supported, such as FlexRay, ethernet, and the system CAN test HCU in a wider network environment and meet the requirements of different vehicles and systems.
And (3) automatic optimization: and introducing a machine learning algorithm and an optimization model to automatically optimize the test method. The system can automatically adjust the test parameters and configuration according to the historical data and the feedback information so as to improve the test efficiency and the test precision.
Integration auxiliary tool: the test method is integrated with other auxiliary tools such as a virtual simulation platform or a data recording and playback device.
The expandability and flexibility of the test are further improved.
In addition, other network protocols can be integrated into the testing method to meet the testing requirements of different vehicles, flexRay or Ethernet protocols and the like are added, and the application range of the testing method is expanded
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The test method for diagnosing the HCU by the CANoe network is characterized by comprising the following steps of:
step one, inputting basic information and test requirements of HCU;
step two, configuring a CANoe test environment by the system;
step three, the system automatically records and analyzes the CAN message;
step four, the system monitors and diagnoses the HCU in real time;
step five, the system generates a test report including the performance and stability conditions of the HCU;
and step six, the testers browse the report and further analyze and optimize the report according to the requirement.
2. The test method for diagnosing HCU by the CANoe network according to claim 1, wherein: the test type in the first step includes a rising edge slope test, a falling edge slope test, a ground offset test, a bit time test and a sampling point test.
3. The test method for diagnosing HCU by the CANoe network according to claim 1, wherein: the basic information and the test requirement in the first step comprise the following steps:
s1.1, opening CANoe software and creating a new test item;
s1.2, finding an HCU node in the CANoe project tree, and clicking a selection attribute right-click;
s1.3, filling in basic information of the HCU in an HCU attribute setting interface, wherein the basic information comprises a name, a manufacturer and a version number;
s1.4, finding out options related to test requirements in an attribute setting interface, and setting functions, communication protocols and CAN network parameters which need to be monitored and diagnosed;
and S1.5, after the proper option setting is selected, saving the configuration and closing the interface.
4. The test method for diagnosing HCU by the CANoe network according to claim 1, wherein: the test environment for configuring the CANoe in the second step comprises the following steps:
s2.1, finding a Configuration node in a CANoe project tree, and clicking right to create a new Configuration;
s2.2, in a configuration attribute setting interface, configuring network equipment, wherein the network equipment comprises a CAN bus interface, an emulator and a gateway, and is used for connecting a CANoe to a vehicle network;
s2.3, selecting a predefined vehicle model, or creating a custom simulation model according to the requirement to complete simulation model configuration;
s2.4, configuring nodes, simulating CAN nodes of each control unit in the vehicle, setting communication parameters and simulation models of the nodes, configuring the network of the nodes, and defining parameters of a CAN network, including network bit rate, frame ID and node configuration;
s2.5, configuring a communication protocol;
s2.6, starting diagnosis related functions, such as supporting UDS diagnosis and DTC management.
5. The test method for diagnosing HCU by the CANoe network according to claim 1, wherein: the CAN node in the S2.4 comprises an HCU, the communication protocol in the S2.5 comprises CAN, LIN and FlexRay, and the UDS diagnosis in the S2.6 comprises a diagnosis controller, a diagnosis token, a diagnosis session and a diagnosis service.
6. The test method for diagnosing HCU by the CANoe network according to claim 1, wherein: the configuring of the communication protocol in S2.5 comprises the following steps:
SS1, find the Configuration node in CANoe's project tree, and right click the selection attribute;
SS2, in the configuration attribute setting interface, selecting a 'Network' tag page;
SS3, putting through a CAN bus interface in a network configuration interface;
SS4, in the attribute setting of the network equipment, finding the relevant options of the communication protocol;
SS5, according to the actual communication protocol, selecting the corresponding option, selecting CAN communication type and bit rate or selecting LIN communication type and version number;
and SS6, carrying out configuration of other network equipment according to the requirement, such as setting the number of network nodes and node IDs.
7. The test method for diagnosing HCU by the CANoe network according to claim 1, wherein: the automatic recording of the system in the third step comprises the following steps:
s3.1, opening CANoe software and opening a previously created test item;
s3.2, finding a Configuration node in the CANoe project tree, and clicking a selection attribute right-click;
s3.3, selecting a Simulation label page in a configuration attribute setting interface;
s3.4, finding a 'Recorder' option in a simulation configuration interface, starting the Recorder, and configuring parameters of the Recorder, including file names, storage positions and recorded signals or messages of the Recorder;
and S3.5, setting a trigger condition to control the start and stop time of the recorder, wherein the trigger condition comprises triggering according to a specific event, the numerical value of a specific signal and the like, and selecting a set scrolling mode, namely automatically covering the oldest data when the size of the recorded file reaches a preset value so as to keep the continuous operation of the recorder.
8. The test method for diagnosing HCU by the CANoe network according to claim 1, wherein: the recorded CAN message uses an Analysis tool provided by CANoe, and the Analysis steps are that an Analysis module node is found in a project tree of the CANoe, and the Analysis module is added by right click selection.
9. The test method for diagnosing HCU by the CANoe network according to claim 1, wherein: the real-time monitoring in the fourth step comprises the following steps:
s4.1, setting up on-line monitoring: connecting the HCU to a CANoe simulation environment by using a network configuration function provided by the CANoe, configuring corresponding network equipment and communication parameters, and enabling the CANoe to receive and analyze CAN messages from the HCU in real time through online monitoring;
s4.2, signal monitoring: using a monitoring window of CANoe to check CAN information received in real time and signal values in the CAN information;
s4.3, monitoring and diagnosing events: using a CANoe event window to monitor and record events related to the HCU, including the triggering of fault codes and the change of specific signal values;
s4.4, performing fault diagnosis and problem investigation of the HCU through real-time monitoring, diagnosis service and data analysis.
10. The test method for diagnosing HCU by the CANoe network according to claim 1, wherein: in the fifth step, a test Report is generated by using Report generating tools provided by CANoe, including Report generators, and the Report is automatically generated based on measurement data, wherein the Report comprises test summaries, performance indexes and stability assessment.
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