Vehicle parameter processing method and device, electronic equipment and storage medium

Abstract

The invention discloses a vehicle parameter processing method and device, electronic equipment and a storage medium. Firstly, a first parameter set is obtained; wherein the first parameter set is running parameters and / or control parameters of the vehicle; the first parameter set is used for realizing a vehicle calibration task; performing calibration processing on the first parameter set by using the historical execution data to obtain a target calibration result; wherein the historical execution data is used for representing the execution condition of the historical calibration task. According to the method and the device, the calibrated parameters and the achievable effects are utilized to calibrate the first parameter set, so that whether the calibration task can be realized or not and the completion condition of the calibration task can be judged, the condition that the parameters are only calibrated according to experience of workers can be avoided, and the parameter calibration efficiency and the evaluation efficiency are improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a vehicle parameter processing method, device, electronic device and storage medium. Background Art

[0002] Vehicle performance, a measure of a vehicle's operational performance, often influences purchasing decisions. Currently, when developing different vehicles and adjusting performance, adjustments to the vehicle's operating or control parameters are often necessary. This process often relies on personnel experience, which can lead to misjudgments and affect vehicle performance. Furthermore, relying solely on manual adjustments can be inefficient, making it difficult to quickly find the optimal parameter combination. Summary of the Invention

[0003] The embodiments of the present application provide a vehicle parameter processing method, device, electronic device and storage medium to solve the problem in the prior art that parameter adjustment mainly relies on manual experience, thereby affecting vehicle performance and adjustment efficiency.

[0004] On the one hand, an embodiment of the present application provides a vehicle parameter processing method to obtain a first parameter set; wherein, the first parameter set is the vehicle's operating parameters and / or control parameters; the first parameter set is used to implement the vehicle calibration task; the first parameter set is calibrated using historical execution data to obtain a target calibration result; wherein, the historical execution data is used to characterize the execution status of the historical calibration task.

[0005] In a possible embodiment, the calibration processing of the first parameter set using historical execution data to obtain a target calibration result includes: matching processing of the first parameter set using the historical execution data to obtain a first calibration result; wherein the matching processing includes at least: parameter task matching, calibration process matching, and parameter maturity matching; and verification processing of the first calibration result to obtain the target calibration result.

[0006] In a possible embodiment, the method further includes: obtaining a second calibration result by matching the target maturity of the calibration task and the historical execution data; and obtaining the first calibration result according to the second calibration result.

[0007] In a possible embodiment, the method further includes: determining a second parameter set based on the calibration task and the historical execution data; wherein the second parameter set is different from the first parameter set; the second parameter set is used to implement the calibration task; and obtaining the first calibration result based on the second parameter set and the first parameter set.

[0008] In a possible embodiment, the verification processing of the first calibration result to obtain the target calibration result includes: comparing the first calibration result with a preset rule base to obtain the target calibration result; the rule base maintains at least relevant information of vehicle parameters.

[0009] In a possible embodiment, the method further includes: acquiring characteristic information of the calibration task; and determining the first calibration result according to the characteristic information and the historical execution data.

[0010] In a possible embodiment, the method further includes: performing similarity matching on the first parameter set to obtain the historical calibration task that meets preset conditions.

[0011] On the one hand, an embodiment of the present application provides a vehicle parameter processing device, including: an acquisition module for acquiring a first parameter set; wherein, the first parameter set is the vehicle's operating parameters and / or control parameters; the first parameter set is used to implement the vehicle calibration task; a processing module for calibrating the first parameter set using historical execution data to obtain a target calibration result; wherein, the historical execution data is used to characterize the execution status of the historical calibration task.

[0012] On the one hand, an embodiment of the present application provides an electronic device, which includes a processor and a memory, wherein the memory stores program code, and when the program code is executed by the processor, the processor executes any one of the above-mentioned vehicle parameter processing methods.

[0013] On the one hand, the present application provides a computer-readable storage medium, which includes program code. When the storage medium is run on an electronic device, the program code is used to enable the electronic device to execute any of the above-mentioned vehicle parameter processing methods.

[0014] On the one hand, an embodiment of the present application provides a computer program product, which includes computer instructions, and the computer instructions are stored in a computer-readable storage medium; when a processor of an electronic device reads the computer instructions from the computer-readable storage medium, the processor executes the computer instructions, so that the electronic device executes any one of the above-mentioned vehicle parameter processing methods.

[0015] The beneficial effects of this application are as follows: The present application provides a vehicle parameter processing method, device, electronic device and storage medium. The present application uses historical execution data to calibrate a first parameter set to obtain a target calibration result; wherein the historical execution data is used to characterize the execution status of the historical calibration task. In other words, the present application uses verified parameters and the effects they can achieve to calibrate the first parameter set, thereby determining whether it can achieve the calibration task and its completion status. In this way, the situation of simply verifying parameters based on the staff's experience can be avoided, and the parameter verification efficiency and evaluation efficiency can be improved.

[0016] Other features and advantages of the present application will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present application. The purposes and other advantages of the present application can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0018] Figure 1 A flow chart of a vehicle parameter processing method according to an embodiment of the present application; Figure 2 This is a flow chart of another vehicle parameter processing method according to an embodiment of the present application; Figure 3 This is a structural diagram of a vehicle parameter processing device in an embodiment of the present application; Figure 4 A hardware block diagram of an electronic device provided in this application; Figure 5 A schematic diagram of a computer-readable storage medium provided in this application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. In the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other in any way. In addition, although a logical order is shown in the flow chart, in some cases, the steps shown or described can be performed in an order different from that here.

[0020] The terms "first," "second," and the like in the specification and claims of this application and in the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or sequential sequence. It should be understood that the terms used in this manner are interchangeable where appropriate, such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein.

[0021] Currently, when users choose a vehicle, they often select vehicles with different performance requirements. When developing vehicles with different performance, they often use an Electronic Control Unit (ECU) and calibration tools to adjust the vehicle's relevant parameters to meet specific performance requirements.

[0022] In the prior art, calibration tasks are tasks intended to achieve specific vehicle performance. These tasks may include, but are not limited to, at least one of the following: engine calibration and transmission calibration. These calibration tasks are often achieved by adjusting vehicle parameters. For example, to adjust engine performance, parameters such as engine speed and load can be adjusted. To adjust transmission performance, parameters such as shift oil pressure and clutch engagement speed can be adjusted.

[0023] For ease of understanding, the following explanation will be given with specific examples. When a user wishes to research a new engine to achieve optimal performance, improving engine performance is a calibration task. To achieve this task, parameters such as engine displacement and compression ratio can be adjusted and verified.

[0024] Currently, adjusting vehicle parameters often relies on personnel experience and calibration tools (such as INCA and CANape) to adjust parameters. However, due to the large number of vehicle calibration parameters, different personnel have varying degrees of familiarity with the process, resulting in different parameter adjustments, which can lead to insufficient parameter verification later. Furthermore, some vehicle parameters can indirectly affect vehicle performance. Manual verification and adjustment may result in missed parameters, making it impossible to find the optimal vehicle parameter configuration.

[0025] In order to solve the above problems, this application provides a vehicle parameter processing method, which uses historical execution data to compare and analyze the parameters input by the staff, thereby completing the vehicle calibration task. Figure 1 ,like Figure 1 As shown, the method may include: S101, obtaining a first parameter set; wherein, the first parameter set is an operating parameter and / or a control parameter of a vehicle; the first parameter set is used to implement a vehicle calibration task.

[0026] In this step, the first parameter set may be unverified or unadjusted vehicle operating parameters and / or control parameters. Operating parameters herein may be understood as parameters of the vehicle in operation, including but not limited to at least one of the following: engine speed, vehicle speed, throttle opening, intake air flow, and coolant temperature. Control parameters are used to adjust and control vehicle operating parameters, including but not limited to at least one of the following: fuel injection rate, transmission shift points, and exhaust gas recirculation rate.

[0027] S102 , calibrating the first parameter set using historical execution data to obtain a target calibration result; wherein the historical execution data is used to characterize the execution status of the historical calibration task.

[0028] Next, the first parameter set can be calibrated using historical execution data. Historical execution data can be understood as information related to the processing of the parameter set during the execution of the historical calibration task, and may include, but is not limited to, at least one of the following: parameter maturity, parameter evaluation, task relevance, and parameter processing. Calibration processing here can be understood as verifying and optimizing the first parameter set to achieve the calibration task. Parameter maturity reflects the stability and reliability of the parameters in actual applications. Parameter evaluation can be used to measure the impact of the parameters on the historical calibration task. Task relevance characterizes the similarity between the historical calibration task and other calibration tasks, thereby determining which parameters are most valuable for reference. The parameter processing process can record information such as the method used to process the historical parameter set to achieve the historical calibration task. This allows the optimization direction and verification method for the first parameter set to be determined using information related to the historical calibration task, improving the efficiency of parameter verification and, consequently, the efficiency of obtaining the target calibration results. Furthermore, verification and optimization based on historical execution data improves the reliability of the results.

[0029] It should be noted that this application does not specifically limit the specific type of target calibration result. The target calibration result can be the application result of the predicted first parameter set (for example, whether it can achieve the calibration task), the adjustment direction of the first parameter set, or the adjusted parameter set. The specific decision can be made based on actual circumstances and this application does not impose any specific restrictions.

[0030] In summary, the present application uses historical execution data to calibrate the first parameter set and obtain a target calibration result; wherein the historical execution data is used to characterize the execution status of the historical calibration task. In other words, the present application uses verified parameters and the effects they can achieve to calibrate the first parameter set, thereby determining whether it can achieve the calibration task and its completion status. In this way, the situation of simply verifying parameters based on the staff's experience can be avoided, and the efficiency of parameter verification and evaluation can be improved.

[0031] In step S102 , the calibration process may include multiple processing steps. Depending on the different processing steps included, the type of target calibration result obtained may also be different.

[0032] Exemplarily, the step of calibrating the first parameter set may specifically include: S1021, using the historical execution data to match the first parameter set to obtain a first calibration result; wherein the matching process at least includes: parameter task matching, calibration process matching, and parameter maturity matching.

[0033] In other words, the calibration process can include two parts: matching and verification. The matching process is used to filter out data similar to the current calibration task from a large number of historical calibration tasks, and adjust the first parameter set with reference to the parameters of the historical calibration tasks, thereby improving the efficiency and accuracy of the calibration process.

[0034] The first calibration result at least includes an adjusted first parameter set.

[0035] Among them, parameter maturity matching can be performed by screening the parameters that have been applied according to the maturity of the settings or the first parameter set, so as to obtain parameters that meet the maturity threshold. For example, the second calibration result can be obtained by matching according to the target maturity of the calibration task and the historical execution data, and the first calibration result can be obtained according to the second calibration result. When the matching process only includes parameter maturity matching, the first calibration result is the same as the second calibration result. When the matching process also includes other matching, the second matching result can also be combined with the results of other matching (such as parameter task matching, calibration process matching) to obtain the first calibration result. In other words, based on the parameters' past verification, parameters with better stability can be selected, thereby improving the quality and stability of the current parameters and reducing problems such as system instability or poor performance caused by improper parameter selection.

[0036] Calibration process matching can be understood as establishing a corresponding processing model based on the characteristics of historical calibration tasks, and matching it with the characteristics of the current calibration task and parameters to obtain the most suitable processing steps. For example, when a user hopes to obtain the best performance of engine x, they find that its structure is similar to that of engine y, and both are used for urban commuting and have high fuel economy requirements. When the two are highly similar, the calibration process used when calibrating the parameters of engine y can be directly referenced (for example, first setting the initial injection duration, then changing the engine speed). In this way, the processing steps can be derived based on the calibration task and parameters, thereby improving the efficiency of the calibration process.

[0037] Parameter task matching is used to determine other parameters related to the current calibration task. Exemplarily, a second parameter set is determined based on the calibration task and the historical execution data; wherein the second parameter set is different from the first parameter set. In other words, the parameters in the second parameter set can also affect the completion of the calibration task. The first calibration result is obtained based on the second parameter set and the first parameter set. Exemplarily, the union of the first parameter set and the second parameter set can be used as the first calibration result.

[0038] It should be noted that the present application does not specifically limit the number of matching processes in the matching process, nor the order of execution. That is to say, the execution order of parameter task matching, calibration process matching, and parameter maturity matching can be determined according to actual conditions. For example, parameter maturity matching can be performed first, and then parameter task matching can be performed after the accurate parameters are determined, so that other parameters related to the calibration task can be determined while meeting the needs of the current calibration task, and finally the parameter processing process can be determined based on the calibration results obtained. In this way, through step-by-step matching and screening, the current calibration task can be analyzed and optimized from different angles. From the selection of parameters to the determination of related tasks, and then to the application of previous calibration processes, the entire calibration process can be made more scientific and reasonable, which will help improve the quality and effect of calibration and better meet the needs of practical applications.

[0039] Optionally, in the multiple processing processes of the above matching processing, the processing results obtained in each processing process may be intersected and used as the first calibration result.

[0040] Optionally, in addition to the matching steps described above, the matching process may also include similarity matching and name matching. For example, similarity matching can be performed on the first parameter set. That is, historical calibration tasks that are roughly similar to the first parameter set are first identified from a large amount of historical data, providing a range for subsequent precise matching and screening. This avoids ineffective searching within a large amount of irrelevant data and improves subsequent matching efficiency.

[0041] Similarly, parameter name matching can further narrow the scope, that is, this step can ensure that the parameters included in the historical calibration task used for subsequent matching processing are highly correlated in name with the above first parameter set, thereby improving subsequent matching efficiency.

[0042] S1022: Verify the first calibration result to obtain the target calibration result.

[0043] After obtaining the first calibration result, the first calibration result can be verified to ensure its accuracy and practicality. It should be noted that this application does not specifically limit the specific method of parameter verification. It may include but is not limited to at least one of the following: range verification, boundary value verification, and consistency verification. In addition, the target calibration result can be obtained by comparing the first calibration result with the preset rule base. The rule base here at least maintains relevant information on vehicle parameters. In other words, only parameters that meet the range of vehicle parameters in the rule base can be used to implement the calibration task. In this way, the practicality of the parameters finally obtained can be improved.

[0044] It should be noted that this application does not specifically limit the specific combination of the above examples, and they can be combined according to actual circumstances.

[0045] In an exemplary embodiment, please refer to Figure 2 ,like Figure 2 As shown, the method may further include: after the calibration work begins, performing calibration parameter similarity matching. This is equivalent to the aforementioned similarity matching step (equivalent to the aforementioned matching process). After completing the similarity matching, any one or more of the following steps can be performed: parameter maturity matching, parameter maturity matching, related calibration parameter task matching, and expert calibration process matching (i.e., the aforementioned calibration process matching). After the matching is completed, the calibration task parameters (i.e., the aforementioned first calibration result) are obtained. Next, the calibration task parameters can be subjected to parameter verification and rule base verification. If they are deemed valid, their compliance with established rules is verified. Optionally, calibration process collection can be performed, i.e., relevant data from the matching process is collected to provide a basis for subsequent analysis and evaluation. Next, staff can manually evaluate the evaluation results to determine whether they have achieved the expected results. The calibration library is then updated, where the calibration library maintains at least relevant information on historical calibration tasks, including but not limited to parameter maturity, evaluation, and task relevance. Finally, the calibration is concluded.

[0046] In addition, this application also provides a vehicle parameter processing device 300, please refer to Figure 3 ,like Figure 3 As shown, the device may include: The acquisition module 301 is used to acquire a first parameter set; wherein, the first parameter set is the operating parameters and / or control parameters of the vehicle; the first parameter set is used to implement the vehicle calibration task.

[0047] The processing module 302 is configured to perform calibration processing on the first parameter set using historical execution data to obtain a target calibration result; wherein the historical execution data is used to characterize the execution status of the historical calibration task.

[0048] In a possible embodiment, the vehicle parameter processing device 300 is further configured to use the historical execution data to perform matching processing on the first parameter set to obtain a first calibration result; wherein the matching processing includes at least: parameter task matching, calibration process matching, and parameter maturity matching; and the first calibration result is verified to obtain the target calibration result.

[0049] In a possible embodiment, the vehicle parameter processing device 300 is further configured to obtain a second calibration result by matching the target maturity of the calibration task and the historical execution data; and obtain the first calibration result according to the second calibration result.

[0050] In a possible embodiment, the vehicle parameter processing device 300 is further configured to determine a second parameter set based on the calibration task and the historical execution data; wherein the second parameter set is different from the first parameter set; the second parameter set is used to implement the calibration task; and the first calibration result is obtained based on the second parameter set and the first parameter set.

[0051] In a possible embodiment, the vehicle parameter processing device 300 is further configured to compare the first calibration result with a preset rule base to obtain the target calibration result; the rule base at least maintains relevant information of the vehicle parameters.

[0052] In a possible embodiment, the vehicle parameter processing device 300 is further configured to obtain characteristic information of the calibration task; and determine the first calibration result according to the characteristic information and the historical execution data.

[0053] In a possible embodiment, the vehicle parameter processing device 300 is further configured to perform similarity matching on the first parameter set to obtain the historical calibration task that meets preset conditions.

[0054] Figure 4 This is a hardware block diagram of an electronic device provided in an embodiment of the present application. The electronic device 400 according to an embodiment of the present application includes at least a processor and a memory for storing computer-readable instructions. When the computer-readable instructions are loaded and executed by the processor, the processor executes the text error correction method described in any of the preceding embodiments of the present application.

[0055] Figure 4 The electronic device 400 shown specifically includes: a central processing unit (CPU) 401, a graphics processing unit (GPU) 402, and a memory 403. These units are interconnected via a bus 404. The central processing unit (CPU) 401 and / or the graphics processing unit (GPU) 402 can function as the aforementioned processor, and the memory 403 can function as the aforementioned memory for storing computer-readable instructions. Furthermore, the electronic device 400 may further include a communication unit 405, a storage unit 406, an output unit 407, an input unit 408, and an external device 409, all of which are also connected to the bus 404.

[0056] Figure 5 A schematic diagram of a computer-readable storage medium provided in an embodiment of the present application. Figure 5As shown, a computer-readable storage medium 500 according to an embodiment of the present application has computer-readable instructions 501 stored thereon. When computer-readable instructions 501 are executed by a processor, the text correction method described with reference to the above figures according to any of the above embodiments of the present application is executed. Computer-readable storage media include, but are not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), a hard disk, flash memory, an optical disk, a magnetic disk, etc.

[0057] The present application further provides a computer program product, including a computer program, which, when executed by a processor, implements the text error correction method described in any of the above embodiments of the present application.

[0058] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0059] The basic principles of the present application have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, and effects mentioned in this application are merely illustrative and not restrictive, and it should not be assumed that these advantages, strengths, and effects are required of each embodiment of this application. In addition, the specific details disclosed above are merely illustrative and facilitating understanding, and are not restrictive. The above details do not limit this application to necessarily being implemented using the above specific details.

[0060] The block diagrams of the devices, devices, equipment, and systems involved in this application are merely illustrative examples and are intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, devices, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "include," "comprise," "have," and the like are open-ended words, meaning "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or" and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0061] Additionally, as used herein, "or" used in a list of items beginning with "at least one" indicates a separate list, so that, for example, a list of "at least one of A, B, or C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not mean that the example described is preferred or better than other examples.

[0062] It should also be noted that in the system and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0063] Various changes, substitutions, and modifications of the technology described herein may be made without departing from the teachings defined by the appended claims. Moreover, the scope of the claims herein is not limited to the specific aspects of the processes, machines, manufactures, compositions of things, means, methods, and actions described above. Currently existing or later developed processes, machines, manufactures, compositions of things, means, methods, or actions that perform substantially the same functions or achieve substantially the same results as the corresponding aspects described herein may be utilized. Accordingly, the appended claims include within their scope such processes, machines, manufactures, compositions of things, means, methods, or actions.

[0064] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is intended to be limited to the aspects shown herein, but to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0065] The above description has been provided for the purpose of illustration and description. In addition, this description is intended to limit the embodiments of the present application to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A vehicle parameter processing method, characterized in that: The method comprises: Acquire a first parameter set; wherein the first parameter set is an operating parameter and / or a control parameter of the vehicle; the first parameter set is used to implement a vehicle calibration task; The first parameter set is calibrated using historical execution data to obtain a target calibration result; wherein the historical execution data is used to characterize the execution status of the historical calibration task.

2. The method according to claim 1, wherein: The calibrating the first parameter set using the historical execution data to obtain a target calibration result includes: Performing matching processing on the first parameter set using the historical execution data to obtain a first calibration result; wherein the matching processing at least includes: parameter task matching, calibration process matching, and parameter maturity matching; The first calibration result is verified to obtain the target calibration result.

3. The method according to claim 2, wherein: The method further comprises: According to the target maturity of the calibration task and the historical execution data, a second calibration result is obtained by matching; and according to the second calibration result, the first calibration result is obtained.

4. The method according to claim 2 or 3, wherein: The method further comprises: Determining a second parameter set based on the calibration task and the historical execution data; wherein the second parameter set is different from the first parameter set; and the second parameter set is used to implement the calibration task; The first calibration result is obtained according to the second parameter set and the first parameter set.

5. The method according to any one of claims 2 to 4, characterized in that: The verifying process on the first calibration result to obtain the target calibration result includes: The target calibration result is obtained by comparing the first calibration result with a preset rule base; the rule base at least maintains relevant information of vehicle parameters.

6. The method according to any one of claims 2 to 5, characterized in that: The method further comprises: Acquiring characteristic information of the calibration task; The first calibration result is determined according to the feature information and the historical execution data.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Similarity matching is performed on the first parameter set to obtain the historical calibration task that meets preset conditions.

8. A vehicle parameter processing device, characterized in that: The device comprises: An acquisition module, configured to acquire a first parameter set; wherein the first parameter set is an operating parameter and / or a control parameter of the vehicle; and the first parameter set is used to implement a vehicle calibration task; A processing module is used to calibrate the first parameter set using historical execution data to obtain a target calibration result; wherein the historical execution data is used to characterize the execution status of the historical calibration task.

9. An electronic device, characterized in that: It includes a processor and a memory, wherein the memory stores program code, and when the program code is executed by the processor, the processor executes any one of the methods in claims 1 to 6.

10. A computer-readable storage medium, characterized in that The storage medium comprises a program code, and when the storage medium is run on an electronic device, the program code is used to enable the electronic device to execute any one of the methods described in claims 1 to 6.

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