CN114546451A - Method for calibrating internal parameters of MPU (Microprocessor Unit) end program based on file uploading - Google Patents
Method for calibrating internal parameters of MPU (Microprocessor Unit) end program based on file uploading Download PDFInfo
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Abstract
The invention discloses a method for calibrating internal parameters of an MPU end program based on file uploading, which comprises the steps that firstly, a module needing to be calibrated opens a signal needing to be calibrated in a model code and generates the model code with calibrated parameters; then reading calibration parameters and initial values in the model codes, and generating an initial version parameter configuration table in a json format; writing the initial version parameter configuration table into the real vehicle, re-calibrating the vehicle type adaptive parameters on the real vehicle through the upper computer, and generating a new version parameter configuration table suitable for the vehicle type and the working condition; when the program is started, the corresponding calibration quantity is written into the program by using the newly generated parameter configuration table, so that parameter calibration is completed. The invention can realize the calibration of the internal parameters of the MPU end program and can improve the efficiency of the calibration work.
Description
Technical Field
The invention relates to parameter calibration, in particular to a method for calibrating internal parameters of an MPU (micro processing Unit) end program based on file uploading. The invention is used for calibrating the internal parameters of the software or the program through a local parameter table and a certain technology. Belonging to the technical field of automobile software calibration.
Background
In order to make the vehicle work effectively and reliably, various hardware configuration functions are exerted to the maximum, and the functions of software and programs are not replaced. After the software is written, not all conditions and vehicle types can be used universally, and parameters related to the software need to be calibrated according to different vehicle types and application conditions, so that the function of relevant configuration can be exerted to the maximum extent. For example, chinese patent publication No. CN111572676A discloses a method for calibrating configuration parameters of a vehicle instrument, which is mainly used for calibrating configuration parameters of a vehicle instrument, and calibrates configuration parameters of an instrument panel through a calibration device, so as to form instruments required by various instantiated vehicle types. Like the domain control software at present, the MCU end has an open interface for calibrating equipment to calibrate, the whole calibration process of the MCU end can be completed by using a CANape tool, firstly, a calibration engineer uses the CANape to calibrate parameters on different vehicle types, a completed calibration data file generates a new HEX program by using INCA software, and finally, the HEX program is downloaded into a target MCU by using a program downloading tool.
However, in the MPU side, a specific memory block cannot be allocated to the internal calibration amount of the program in the MPU side due to different chip characteristics, and thus parameter calibration cannot be performed by canope. Therefore, a new calibration method needs to be designed to calibrate the internal parameters of the MPU end program.
Disclosure of Invention
In view of the above-mentioned shortcomings in the prior art, the present invention aims to provide a method for calibrating internal parameters of an MPU side program based on file uploading, which can calibrate the internal parameters of the MPU side program and improve the efficiency of calibration.
The technical scheme of the invention is realized as follows:
a method for calibrating internal parameters of an MPU end program based on file uploading is disclosed, wherein the program refers to a process program running on the MPU end, and the process program comprises one or more model codes and corresponds to different modules of an application layer. The calibration method is carried out according to the following steps,
1) firstly, opening a signal to be calibrated in a model code by a module to be calibrated, and generating the model code with calibration parameters;
2) then, reading calibration parameters and initial values in the model code with the calibration parameters generated in the step 1) by using a tool to generate an initial version parameter configuration table;
3) writing the initial version parameter configuration table into the real vehicle, and re-calibrating parameters matched with the vehicle type in the initial version parameter configuration table on the real vehicle through the upper computer according to different vehicle type projects and working conditions to replace the initial values, so as to generate a new version parameter configuration table suitable for the vehicle type and the working conditions;
4) when the program is started, the corresponding calibration quantity is written into the program by using the new version parameter configuration table, so that the calibration of the internal parameters of the MPU end program is realized.
Preferably, in step 2), the initial version parameter configuration table performs parameter configuration by using a json format data structure, and information included in one calibration quantity in the initial version parameter configuration table includes a calibration parameter name, a signal number (for distinguishing an array), a symbol, a signal type, and a calibration value.
Preferably, in step 3), the information of the calibration signal is read from the inside of the initial version parameter configuration table and stored in the node structure array, the node structure array includes information of the calibration amount, and the read-write module is used for traversing and searching for the value of the required calibration amount.
Further preferentially, in the step 3), a function for reading the parameter configuration table in the json format is called; the function comprises two parameters, wherein the first parameter is a calibration signal name and is used for traversing the same-name parameter in the node structure array, and the second parameter is a memory address distributed by the calibration signal in the program and is used for writing a calibration value.
In the step 3), the calibration quantity is listed through an upper computer, the value of the calibration quantity is modified in real time and is stored in a new json file, and when all parameters needing to be calibrated or all working conditions are calibrated, the new parameter configuration table which is suitable for a specific vehicle type or a specific working condition is generated.
In the step 4), before the program runs, the new version parameter configuration table generated in the step 3) is written into the internal variables of the program through the file reading and writing module, so that the domain control software is well adapted to different vehicle types.
In the step 1), a calibration interface code is written on the model code with calibration parameters for writing in the calibration value.
In step 2), the tool is a written file reading and writing module, and calibration parameter information in the model code is read through the file reading and writing module.
The invention provides a method for calibrating internal parameters of an MPU end program, which is characterized in that a program developer provides a parameter table, and corresponding parameters are written into corresponding signals in the program through file reading and writing operations to complete calibration. The device comprises two parts: firstly, reading a parameter table provided by a program, and secondly, flashing the parameters to finish calibration when software is started. The invention solves the problem that the MPU end can not be calibrated at present, can help a calibration engineer to complete corresponding calibration requirements, and can improve the efficiency of calibration work.
Drawings
Fig. 1 shows a format of a parameter configuration table according to an embodiment of the present invention.
FIG. 2 is a process flow diagram of an embodiment of the invention.
Detailed Description
The following detailed description of specific embodiments of the invention refers to the accompanying drawings.
For better understanding of the technical solution of the present invention, the definitions and descriptions of the related terms related to the present invention are given first:
json: a lightweight data exchange format; model code: and C codes converted by the Matlab built model.
The invention aims to provide a method for calibrating internal parameters of a vehicle domain controller MPU end program, wherein the program refers to a process program which runs on the MPU end, and the process comprises one or more model codes and corresponds to different modules of an application layer. The calibration method is performed as follows, please refer to fig. 2 at the same time,
1) firstly, opening a signal to be calibrated in a model code by a module to be calibrated, and generating the model code with calibration parameters;
2) then, reading calibration parameters and initial values in the model code with the calibration parameters generated in the step 1) by using a tool to generate an initial version parameter configuration table;
3) writing the initial version parameter configuration table into the real vehicle, and re-calibrating parameters matched with the vehicle type in the initial version parameter configuration table on the real vehicle through the upper computer according to different vehicle type projects and working conditions to replace the initial values, so as to generate a new version parameter configuration table suitable for the vehicle type and the working conditions;
4) when the program is started, the corresponding calibration quantity is written into the program by using a newly generated new version parameter configuration table, so that the calibration of the internal parameters of the MPU end program is realized.
Calibration parameter table: the invention reads the local parameter configuration table through the program to carry out parameter calibration, so that the format of parameter table calibration has certain requirements, and information which is contained in a calibration quantity comprises a calibration parameter name, signal number (used for distinguishing arrays), signs, signal types and calibration values. Here, a data structure in json format is used for parameter configuration. Fig. 1 shows a format of a parameter configuration table according to an embodiment of the present invention.
In step 2), the tool is a written file reading and writing module, and calibration parameter information in the model code is read through the file reading and writing module.
And compiling a calibration interface code for writing in a calibration value according to a parameter configuration table containing calibration information and a model code with a opened calibration amount, which are provided by an application layer model team. And the written file reading and writing module reads the calibration parameter information in the json file and writes the calibration parameter information into the internal variables of the model codes of the application layer through the interface codes. The whole process is mainly to perform read-write operation on the parameter configuration table in the json format. The invention relates to a parameter calibration method based on file uploading, which is embodied herein. And modifying the value of the parameter configuration table by the upper computer to generate a new json parameter configuration table, and writing the calibration value into the program calibration signal by reading and writing files.
The overall idea is designed as follows:
1. and reading information of the calibration signals, including the total number of the calibration parameters, the signal type of the calibration quantity, whether the calibration value is an array, the calibration value and the like, from the json configuration parameter table, and storing the information in the node structure array. The node structure array comprises information of the calibration quantity, and the read-write module performs traversal searching on the value of the required calibration quantity.
2. And calling a function for reading the parameter configuration table in the json format. The function comprises two parameters, wherein the first parameter is a calibration signal name and is used for traversing the same-name parameter in the node structure array, and the second parameter is a memory address distributed by the calibration signal in the program and is used for writing a calibration value.
3. The calibration value of the read calibration signal is written into the program internal calibration signal, which is implemented inside the function, and the read signal value is written into the address pointed by the second parameter.
4. The json file is not generated at the same time after the application layer team generates the model codes, and the model codes are only reserved with interfaces of calibration signals, so that calibration values can be conveniently written in the program calibration process. And the calibration values are derived from json files. Therefore, after the model generates the code, a tool is needed to read the c code calibrated with the interface definition, and the calibration quantity and the information thereof are screened out and stored in the parameter configuration table in the json format.
5. After the initial version of the parameter configuration table is available, the program and the parameter configuration table are submitted to a calibration engineer for calibration, the calibration quantity is listed through an upper computer, the value of the calibration quantity is modified in real time and is stored in a new json file, and after all parameters needing to be calibrated or all working conditions are calibrated, the new version of the parameter configuration table which is adapted to a specific vehicle type or a specific working condition also exists.
6. The generated new version parameter configuration table is written into the internal variables of the program again through the file reading and writing module, and the operation is completed before the program runs, so that the domain control software can be well adapted to different vehicle types.
In specific implementation, the calibration method is applied to different vehicle types, and the problem that the ADS domain control software is adaptive to functions of different vehicle types is well solved. And different processing modules are called according to different parameter configurations to complete corresponding functional logics, so that the efficiency of development engineers and calibration engineers is greatly improved.
Finally, it should be noted that the above-mentioned examples of the present invention are only examples for illustrating the present invention, and are not intended to limit the embodiments of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, it will be apparent to those skilled in the art that other variations and modifications can be made based on the above description. Not all embodiments are exhaustive. All obvious changes and modifications of the present invention are within the scope of the present invention.
Claims (8)
1. A method for calibrating internal parameters of an MPU end program based on file uploading is disclosed, wherein the program refers to a process program running on the MPU end, the process program comprises one or more model codes and corresponds to different modules of an application layer; the method is characterized in that: the method comprises the following steps of,
1) firstly, opening a signal to be calibrated in a model code by a module to be calibrated, and generating the model code with calibration parameters;
2) then, reading calibration parameters and initial values in the model code with the calibration parameters generated in the step 1) by using a tool to generate an initial version parameter configuration table;
3) writing the initial version parameter configuration table into the real vehicle, and re-calibrating parameters matched with the vehicle type in the initial version parameter configuration table on the real vehicle through the upper computer according to different vehicle type projects and working conditions to replace the initial values, so as to generate a new version parameter configuration table suitable for the vehicle type and the working conditions;
4) when the program is started, the corresponding calibration quantity is written into the program by using the new version parameter configuration table, so that the calibration of the internal parameters of the MPU end program is realized.
2. The method for calibrating the internal parameters of the MPU side program based on file upload according to claim 1, wherein: in step 2), the initial version parameter configuration table performs parameter configuration by adopting a data structure in a json format, and information contained in one calibration quantity in the initial version parameter configuration table comprises a calibration parameter name, a signal number, a symbol, a signal type and a calibration value.
3. The method for calibrating the internal parameters of the MPU side program based on the file upload according to claim 2, wherein: and 3) reading information of the calibration signals from the inner surface of the initial version parameter configuration table, storing the information in a node structure array, wherein the node structure array comprises information of the calibration quantity, and traversing through a read-write module to search the value of the required calibration quantity.
4. The method for calibrating the internal parameters of the MPU side program based on file upload according to claim 3, wherein: in step 3), calling a function for reading the parameter configuration table in the json format; the function comprises two parameters, wherein the first parameter is a calibration signal name and is used for traversing the same-name parameter in the node structure array, and the second parameter is a memory address distributed by the calibration signal in the program and is used for writing a calibration value.
5. The method for calibrating the internal parameters of the MPU side program based on file upload according to claim 2, wherein: and 3) listing the calibration quantity through the upper computer, modifying the value in real time and storing the value into a new json file, and generating the new parameter configuration table which is suitable for the specific vehicle type or the specific working condition after all the parameters needing to be calibrated or all the working conditions are calibrated.
6. The method for calibrating the internal parameters of the MPU side program based on file upload according to claim 1, wherein: in the step 4), before the program runs, the new version parameter configuration table generated in the step 3) is written into the internal variables of the program through the file reading and writing module, so that the domain control software is well adapted to different vehicle types.
7. The method for calibrating the internal parameters of the MPU side program based on file upload according to claim 1, wherein: in the step 1), a calibration interface code is written on the model code with calibration parameters for writing in a calibration value.
8. The method for calibrating the internal parameters of the MPU side program based on the file upload according to claim 1, wherein: in step 2), the tool is a written file reading and writing module, and calibration parameter information in the model code is read through the file reading and writing module.
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