CN117909672A - Automobile NVH problem analysis method, device and medium - Google Patents
Automobile NVH problem analysis method, device and medium Download PDFInfo
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- CN117909672A CN117909672A CN202311700595.7A CN202311700595A CN117909672A CN 117909672 A CN117909672 A CN 117909672A CN 202311700595 A CN202311700595 A CN 202311700595A CN 117909672 A CN117909672 A CN 117909672A
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Abstract
The invention relates to the technical field of automobile fault diagnosis, in particular to an automobile NVH problem analysis method, an automobile NVH problem analysis device and an automobile NVH problem analysis medium. According to the invention, by acquiring the electric control data and the vibration noise signals and combining the NVH problem expert system, the electric control data and the vibration noise signals, the fault cause causing the NVH problem is finally acquired. According to the method, based on NVH problem knowledge maps of the whole vehicle, the bridge, the compressor and other parts, the NVH abnormal sources and root causes of the electric vehicle can be timely identified by collecting the NVH problem knowledge maps of the problem vehicle in each operation scene, so that maintenance personnel can be assisted in efficiently and accurately positioning potential health problems of the vehicle, and the maintenance speed of the electric vehicle is improved. The device can support deployment in various forms, can be used as a development support tool of electric vehicle research and development engineers, can also be used as an auxiliary means of after-sales problem handling personnel, or can be used as a service application of a terminal vehicle owner for carrying out electric vehicle problem self-checking.
Description
Technical Field
The invention relates to the technical field of automobile fault diagnosis, in particular to an automobile NVH problem analysis method, an automobile NVH problem analysis device and an automobile NVH problem analysis medium.
Background
NVH (Noise Vibration Harshness noise, vibration and harshness) is various in sources of NVH abnormal problems of electric vehicles, and NVH problems of vehicles can be caused by components such as an electric bridge, an air conditioner compressor, tires and a suspension, and the reasons of the problems are different. The bridge is used as an example, and the bridge is caused by the failure problems of eccentric wear of a bearing of a bridge reducer, abrasion of a gear and the like, and can also be caused by special working conditions such as tooth knocking, flywheel and the like under the condition that a vehicle has no faults. How to accurately identify the cause and solution of the problem when the NVH abnormal situation occurs is very important to alleviate driver emotion and reduce problem solving cost.
Disclosure of Invention
The invention discloses an automobile NVH problem analysis method, device and medium, which can diagnose various NVH abnormal problems.
In order to achieve the above objective, on the one hand, an automobile NVH problem analysis method is provided, which comprises the following specific steps:
Building NVH problem expert system based on database matched service implementation, or based on knowledge graph building, or by adopting a large language model;
Acquiring electric control data and vibration noise signals;
performing data preprocessing on the electric control data and the vibration noise signals;
extracting features of the preprocessed data;
and combining the NVH problem expert system with the extracted features to acquire the fault reasons causing the NVH problem.
Optionally, the electronic control data includes any one or more of the following:
Vehicle speed, motor rotation speed, motor torque, compressor rotation speed, compression ratio, inlet and outlet pressure signals, electric bridge and various temperature point signals of an air conditioning system.
Further, the vibration noise signal is acquired by a noise acquisition device or a vibration acquisition device.
Further, the electric control data and the vibration noise signals are respectively stored in an electric control time sequence database and a noise vibration database.
Optionally, the electronically controlled timing database and the noise vibration database are InfluxDB or IoTDB database or TDengine database.
Further, the vehicle NVH problem analysis method is triggered manually by a driver through an HMI interface.
Further, the vehicle NVH problem analysis method is automatically triggered when the vehicle-mounted noise collection device identifies that the noise exceeds the preset decibel noise.
Further, integrity analysis is carried out on the data, and if the data is identified to be missing, missing data is called through calling a digital twin server model.
Further, if the failure cause is successfully obtained, and the maintenance scheme can be further obtained, outputting the maintenance scheme;
if the failure cause is successfully obtained, but the maintenance scheme cannot be further obtained, a vehicle operation suggestion is given.
In order to achieve the above object, in another aspect, there is provided an automobile NVH problem analysis apparatus comprising: the system comprises an electric control time sequence database, a noise vibration database, an NVH problem expert system, a digital twin model, a data processing module, an NVH problem analysis module and a system service interface;
the electronic control time sequence database receives and stores electronic control data;
The noise vibration database receives and stores vibration noise signals;
The data processing module is used for preprocessing electric control data and vibration noise signals and extracting characteristics of the preprocessed data;
The NVH problem expert system stores a plurality of fault types, corresponding fault electric control data and fault vibration noise signals;
The NVH problem analysis module is used for acquiring fault reasons causing NVH problems by combining the characteristic data with an NVH problem expert system;
When the digital twin model fails to acquire a fault cause causing NVH problem due to missing data, the missing data is provided;
and the system service interface is used for man-machine interaction and outputting fault reasons causing NVH problems.
To achieve the above object, in another aspect, a storage medium is provided, in which a plurality of instructions are stored, and a processor loads the plurality of instructions to perform the above NVH problem analysis method.
Due to the adoption of the scheme, the invention has the following beneficial effects:
1. The invention is constructed by technologies such as a large natural language model, a knowledge graph and the like, is used for realizing the problem reasoning of the electric vehicle, and is used for identifying the working condition information of related components in a dynamic scene by collecting index data such as the working condition of the vehicle speed, the power of the components, the temperature state and the like and matching with the digital twin model of each component, so as to support the perfect generation of key index data in the dynamic state of the estimated vehicle;
2. The invention realizes the automation of NVH problem processing process, and covers the whole processes of data acquisition, data analysis, problem deduction, maintenance proposal generation and the like;
3. The invention can be used as a value-added software service to be deployed at a vehicle end, can also be used as a digital tool for internal research and development and quality management, and improves the working efficiency of related personnel.
It should be noted that, the terms "first", "second", and the like are used herein merely to describe each component in the technical solution, and do not constitute a limitation on the technical solution, and are not to be construed as indicating or implying importance of the corresponding component; elements with "first", "second" and the like mean that in the corresponding technical solution, the element includes at least one.
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In order to more clearly illustrate the technical solution of the present invention, the technical effects, technical features and objects of the present invention will be further understood, and the present invention will be described in detail below with reference to the accompanying drawings, which form a necessary part of the specification, and together with the embodiments of the present invention serve to illustrate the technical solution of the present invention, but not to limit the present invention.
Like reference numerals in the drawings denote like parts, in particular:
Fig. 1 is a flow chart of an analysis method of NVH problem of an automobile in embodiment 1.
Fig. 2 is a schematic structural diagram of an automobile NVH problem analysis apparatus in embodiment 2.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. Of course, the following specific examples are set forth only to illustrate the technical solution of the present invention, and are not intended to limit the present invention. Furthermore, the parts expressed in the examples or drawings are merely illustrative of the relevant parts of the present invention, and not all of the present invention.
Example 1:
an automobile NVH problem analysis method is shown in FIG. 1, and comprises the following specific steps:
S1, receiving vehicle NVH analysis request
The vehicle NVH analysis request can be triggered manually by a driver through an HMI interface, can be automatically triggered when the vehicle-mounted noise collecting device recognizes that the noise exceeds the preset decibel noise, and can be other reasonable existing triggering modes.
S2, acquiring electric control data and vibration noise signals
Specifically, the electronic control data includes vehicle speed, motor torque, compressor speed, compression ratio, inlet and outlet pressure signals and temperature.
The vibration noise signal is acquired by noise acquisition equipment or vibration acquisition equipment;
the electric control data and the vibration noise signals are respectively stored in an electric control time sequence database and a noise vibration database, and the electric control time sequence database and the noise vibration database can adopt InfluxDB, and can also be NoSQL databases for processing other time sequence data, such as IoTDB, TDengine and the like.
S3, carrying out integrity analysis on the data, and if the data are not missing, turning to step S4.
S4, carrying out integrity analysis on the data, and calling missing data by calling a digital twin server model if the data is identified to be missing.
S5, obtaining the fault reason
The method for analyzing the electric control data and the vibration noise signals by combining with the NVH problem expert system comprises the following steps of:
s51, carrying out data preprocessing on electric control data and vibration noise signals;
S52, extracting features of the preprocessed data;
s53, analyzing the fault cause causing the NVH problem by combining the NVH problem expert system and the extracted features;
s54, if the failure cause is successfully obtained and a maintenance scheme can be given, a maintenance scheme suggestion is given;
And S55, if the failure cause is successfully obtained, but a maintenance scheme cannot be given, a vehicle operation suggestion is given.
Specifically, the NVH problem expert system can be realized based on a database and matched services, can be built based on a knowledge graph, can be realized by adopting a large language model, and can be built by automobile field experts.
In this embodiment, the cause of the NVH problem is various, for example, the NVH problem of an electric vehicle is represented as rotating member noise, and the main sources include an air conditioner compressor, a motor, a decelerator, etc., and the service operation process is demonstrated based on the case vehicle:
As shown in step 1 of fig. 1, if the driver feels that there is abnormal noise in the vehicle, the request for activating the NVH analysis service may be requested through the HMI interface by means of manual operation, or the analysis request may be automatically triggered when high decibel noise is identified through the on-board noise collecting apparatus.
As shown in step 2 in fig. 1, in vehicles with different resource configurations, the data acquisition contents may be different, for example, the vehicles are provided with noise acquisition devices, and the vehicles are provided with vibration acquisition devices, so that the analysis effect of vibration signals is better in principle. Some faults can be identified through noise analysis, and some fault problems can be accurately positioned only by vibration signal data, and even more support of electric control data indexes is needed to complete analysis. The NVH problem expert system records the data index requirements of various potential problems, and invokes relevant requirements during subsequent targeted analysis to confirm whether the existing data can meet the requirements.
As shown in step 3 in fig. 1, the system starts to collect signals such as the rotation speed, the compression ratio, the inlet and outlet pressure of the compressor, signals such as the rotation speed, the torque, the temperature of the motor, data such as the noise of the vehicle, etc., and analyze the stability characteristics of key working condition indexes of each component, and characteristic data such as the amplitude magnitude and the order distribution of each frequency of the noise, so as to provide input for the subsequent fault cause positioning analysis. And in combination with the data feature requirements provided by the NVH problem expert system, evaluating the integrity of the feature data, and confirming whether to perform the next analysis or to continue feature data collection.
As shown in step 4 of fig. 1, a data feature missing is likely to be found during the actual analysis. For example, if an abnormal noise source is found to be an air conditioner compressor in the analysis process, the root cause of the fault is likely to be refrigerant leakage, and whether the fault exists or not may need to be analyzed to determine whether the performance index of the thermal management system is abnormal or not in order to determine the fault, for example, the deviation of the data such as the cabin air outlet temperature, the battery cooling water temperature and the like from the normal value under the typical working condition is analyzed. In consideration of the complexity of the thermal management system, the related normal value index is difficult to express through a simple model, and related data can be generated by calling a digital twin service model of the related normal value index. The system records key working condition data of the vehicle and the compressor, and is used as evaluation reference data for judging whether the compressor has faults by combining the normal performance of related indexes estimated by a twin model of an air conditioning system.
As shown in step 5 of fig. 1, the failure cause analysis is continued after the preparation of the relevant data is completed. If the related index display system has a compressor fault, the service is ended, and a related maintenance conclusion is generated; if the analysis result shows that the performance of the thermal management system is normal or the existing data cannot confirm that the fault exists, the expert system experience recommends that the vehicle operates to more working conditions to generate more data or introduces more diagnosis service strategies to acquire more characteristic indexes until the determination of the root cause of the fault, such as the vehicle UDS diagnosis service or other maintenance related diagnosis strategies, is completed.
Example 2:
An automobile NVH problem analysis apparatus, as shown in FIG. 2, comprises: the system comprises an electric control time sequence database, a noise vibration database, an NVH problem expert system, a digital twin model, a data processing module, an NVH problem analysis module and a system service interface;
the electronic control time sequence database receives and stores electronic control data;
The noise vibration database receives and stores vibration noise signals;
The data processing module is used for preprocessing electric control data and vibration noise signals and extracting characteristics of the preprocessed data;
The NVH problem expert system stores a plurality of fault types, corresponding fault electric control data and fault vibration noise signals;
The NVH problem analysis module is used for acquiring fault reasons causing NVH problems by combining the characteristic data with an NVH problem expert system;
When the digital twin model fails to acquire a fault cause causing NVH problem due to missing data, the missing data is provided;
and the system service interface is used for man-machine interaction and outputting fault reasons causing NVH problems.
It should be noted that the foregoing examples are merely for clearly illustrating the technical solution of the present invention, and those skilled in the art will understand that the embodiments of the present invention are not limited to the foregoing, and that obvious changes, substitutions or alterations can be made based on the foregoing without departing from the scope covered by the technical solution of the present invention; other embodiments will fall within the scope of the invention without departing from the inventive concept.
Claims (11)
1. The automobile NVH problem analysis method is characterized by comprising the following steps of:
Building NVH problem expert system based on database matched service implementation, or based on knowledge graph building, or by adopting a large language model;
Acquiring electric control data and vibration noise signals;
performing data preprocessing on the electric control data and the vibration noise signals;
extracting features of the preprocessed data;
and combining the NVH problem expert system with the extracted features to acquire the fault reasons causing the NVH problem.
2. The NVH problem analysis method of claim 1, wherein the electronic control data includes any one or more of:
Vehicle speed, motor rotation speed, motor torque, compressor rotation speed, compression ratio, inlet and outlet pressure signals, electric bridge and various temperature point signals of an air conditioning system.
3. The NVH problem analysis method of claim 1, wherein the vibration noise signal is acquired by a noise acquisition device or a vibration acquisition device.
4. The NVH problem analysis method of claim 1, wherein the electronic control data and the vibration noise signal are stored in an electronic control timing database and a noise vibration database, respectively.
5. The NVH problem analysis method of claim 4, wherein the electronically controlled timing database and the noise vibration database are InfluxDB or IoTDB database or TDengine database.
6. The NVH problem analysis method of claim 1, characterized in that the vehicle NVH problem analysis method is triggered manually by a driver through an HMI interface.
7. The NVH problem analysis method of claim 1, wherein the vehicle NVH problem analysis method is automatically triggered when the in-vehicle noise collection device identifies that the pre-set decibel noise is exceeded.
8. The NVH problem analysis method of claim 1, wherein integrity analysis is performed on the data, and if a data miss is identified, the missing data is invoked by invoking a digital twin server model.
9. The NVH problem analysis method of claim 1, wherein if the failure cause is successfully acquired and the maintenance scheme can be further acquired, outputting the maintenance scheme;
if the failure cause is successfully obtained, but the maintenance scheme cannot be further obtained, a vehicle operation suggestion is given.
10. An automotive NVH problem analysis apparatus, comprising: the system comprises an electric control time sequence database, a noise vibration database, an NVH problem expert system, a digital twin model, a data processing module, an NVH problem analysis module and a system service interface;
the electronic control time sequence database receives and stores electronic control data;
The noise vibration database receives and stores vibration noise signals;
The data processing module is used for preprocessing electric control data and vibration noise signals and extracting characteristics of the preprocessed data;
The NVH problem expert system stores a plurality of fault types, corresponding fault electric control data and fault vibration noise signals;
The NVH problem analysis module is used for acquiring fault reasons causing NVH problems by combining the characteristic data with an NVH problem expert system;
When the digital twin model fails to acquire a fault cause causing NVH problem due to missing data, the missing data is provided;
and the system service interface is used for man-machine interaction and outputting fault reasons causing NVH problems.
11. A storage medium having stored thereon instructions which a processor loads to perform the NVH problem analysis method of any one of claims 1 to 9.
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