CN111693296B - Automobile squeaking checking method, device, equipment and storage medium - Google Patents
Automobile squeaking checking method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for checking automobile screeling, which relate to the technical field of vehicles, and the method comprises the following steps: acquiring vehicle information under a preset working condition, and determining a frequency spectrum characteristic diagram of vehicle noise according to the vehicle information; analyzing the spectrum characteristic diagram to obtain a target howling order value; judging whether the target howling order value is consistent with a standard howling order value or not; and when the target howling order value is consistent with the standard howling order value, determining a howling checking result according to the target howling order value. According to the method, the target howling order value is obtained by analyzing the spectrum characteristic diagram, and then when the target howling order value is consistent with the standard howling order value, a howling troubleshooting result is determined according to the target howling order value, so that the source of the howling generated when the automobile is driven is determined quickly and accurately, and the howling troubleshooting efficiency is improved.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a method, a device, equipment and a storage medium for checking automobile screeling.
Background
With the rapid development of the new energy automobile industry, the product quality of the pure electric automobile becomes an important support for market share by each automobile enterprise, Noise, Vibration and Harshness (NVH) performance is one of important indexes for evaluating the driving comfort of the pure electric automobile, and will be more and more emphasized by customers, and the high-frequency squeaking sound of the pure electric automobile becomes a problem that customers complain most easily because no engine Noise contributes in the driving (rapid acceleration and sliding with gear) process of the pure electric automobile.
In the prior art, the detection of pure electric vehicle acceleration and sliding squeal with gear mainly depends on subjective evaluation of engineers, and the problems are solved by replacing a motor, a speed reducer, a motor Controller and the like according to the experience of the engineers, specific reasons (specific meshing gears and squeal orders) for generating the squeal cannot be locked, and a problem root cannot be systematically and quickly found. Therefore, how to quickly and accurately determine the source of the howling generated when the automobile runs is an urgent technical problem to be solved.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for checking automobile squeal, and aims to solve the technical problem of how to quickly and accurately determine the source of the squeal generated when an automobile runs.
In order to achieve the above object, the present invention provides a car squeal troubleshooting method, including the steps of:
acquiring vehicle information under a preset working condition, and determining a frequency spectrum characteristic diagram of vehicle noise according to the vehicle information;
analyzing the spectrum characteristic diagram to obtain a target howling order value;
judging whether the target howling order value is consistent with a standard howling order value or not;
and when the target howling order value is consistent with the standard howling order value, determining a howling checking result according to the target howling order value.
Preferably, the step of determining a spectral characteristic map of the vehicle noise from the vehicle information includes:
acquiring a vehicle light sensing value according to the vehicle information;
determining a rotating speed value of an output shaft according to the vehicle light sensing value;
and generating a frequency spectrum characteristic diagram of the vehicle noise according to the output shaft rotating speed value.
Preferably, the step of generating a spectral characteristic map of vehicle noise from the output shaft rotation speed value includes:
calculating the rotating speed value of the input shaft according to the rotating speed value of the output shaft and a preset speed ratio value;
generating a motor rotating speed signal according to the rotating speed value of the input shaft;
and generating a frequency spectrum characteristic diagram of the vehicle noise according to the motor rotating speed signal.
Preferably, the step of analyzing the spectrum characteristic diagram to obtain a target howling order value includes:
determining a target order graph by a preset order extraction method according to the frequency spectrum characteristic graph;
and carrying out filtering analysis on the target order graph to obtain a target howling order value.
Preferably, the step of performing filter analysis on the target order map to obtain a target howling order value includes:
obtaining an initial order value through a filter analysis method according to the target order graph;
and carrying out data analysis on the initial order value to obtain a target howling order value.
Preferably, before the step of determining whether the target howling order value is consistent with the standard howling order value, the method further includes:
acquiring the number of driving teeth and the number of driven teeth according to the vehicle information;
and determining a standard howling order value according to the number of the driving teeth and the number of the driven teeth.
Preferably, the step of determining a howling elimination result according to the target howling rank value includes:
determining a squeal component of the vehicle according to the target squeal order value;
performing noise spectrum checking on the howling component to obtain a spectrum checking result;
and when the frequency spectrum checking result meets a preset condition, taking the frequency spectrum checking result as a howling checking result.
In addition, in order to achieve the above object, the present invention further provides an automobile squeal troubleshooting apparatus, including:
the acquisition module is used for acquiring vehicle information under a preset working condition and determining a frequency spectrum characteristic diagram of vehicle noise according to the vehicle information;
the analysis module is used for analyzing the spectrum characteristic diagram to obtain a target howling order value;
the judging module is used for judging whether the target howling order value is consistent with a standard howling order value or not;
and the determining module is used for determining a howling checking result according to the target howling order value when the target howling order value is consistent with the standard howling order value.
In addition, in order to achieve the above object, the present invention further provides an automobile squeal troubleshooting apparatus, including: the automobile squeaking method comprises a memory, a processor and an automobile squeaking checking program which is stored on the memory and can run on the processor, wherein the automobile squeaking checking program realizes the steps of the automobile squeaking checking method when being executed by the processor.
In addition, in order to achieve the above object, the present invention further provides a storage medium, where a car squeal troubleshooting program is stored, and when the car squeal troubleshooting program is executed by a processor, the steps of the car squeal troubleshooting method are implemented as described above.
According to the method, firstly, vehicle information under a preset working condition is obtained, a spectrum characteristic diagram of vehicle noise is determined according to the vehicle information, then the spectrum characteristic diagram is analyzed, a target howling order value is obtained, whether the target howling order value is consistent with a standard howling order value or not is judged, and finally when the target howling order value is consistent with the standard howling order value, a howling checking result is determined according to the target howling order value. By the method, whether the target howling order value is consistent with the standard howling order value or not is judged, and when the target howling order value is consistent with the standard howling order value, a howling elimination result is determined according to the target howling order value, so that the source of the howling generated when the automobile is driven is rapidly determined, and the howling elimination efficiency is improved.
Drawings
Fig. 1 is a schematic structural diagram of a vehicle squeal troubleshooting apparatus for a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first exemplary embodiment of a car squeal checking method according to the present invention;
FIG. 3 is a flowchart illustrating a second exemplary embodiment of a car squeal checking method according to the present invention;
fig. 4 is a block diagram illustrating a first exemplary embodiment of a car squeal elimination apparatus according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a car squeal troubleshooting device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the car howling troubleshooting apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), and the optional user interface 1003 may further include a standard wired interface and a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory or a Non-volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the car squeal troubleshooting apparatus and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, identified as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a car screech program.
In the automobile squeal troubleshooting device shown in fig. 1, the network interface 1004 is mainly used for connecting a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the automobile squeal troubleshooting device calls an automobile squeal troubleshooting program stored in the memory 1005 through the processor 1001 and executes the automobile squeal troubleshooting method provided by the embodiment of the invention.
Based on the hardware structure, the embodiment of the automobile squeaking checking method is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of the car squeal troubleshooting method according to the present invention.
In a first embodiment, the car howling troubleshooting method includes the steps of:
step S10: the method comprises the steps of obtaining vehicle information under a preset working condition, and determining a frequency spectrum characteristic diagram of vehicle noise according to the vehicle information.
It should be noted that the execution subject of this embodiment is an automobile squeal checking device, where the automobile squeal checking device may obtain vehicle information, a spectrum characteristic diagram of vehicle noise, and a target squeal order value under a preset working condition, and judge whether the target squeal order value is consistent with a standard squeal order value, and the automobile squeal checking device may also be other devices, which is not limited in this embodiment.
The vehicle information includes part information and a vehicle model corresponding to the vehicle.
The preset working condition may be that the vehicle is accelerated to run, or the vehicle is coasting to run, and the present embodiment is not limited.
The step of determining the frequency spectrum characteristic diagram of the vehicle noise according to the vehicle information comprises the steps of obtaining a vehicle photosensitive value according to the vehicle information, determining an output shaft rotating speed value according to the vehicle photosensitive value, and generating the frequency spectrum characteristic diagram of the vehicle noise according to the output shaft rotating speed value.
The step of generating the frequency spectrum characteristic diagram of the vehicle noise according to the output shaft rotating speed value comprises the steps of calculating an input shaft rotating speed value according to the output shaft rotating speed value and a preset rotating speed ratio, generating a motor rotating speed signal according to the input shaft rotating speed value, and generating the frequency spectrum characteristic diagram of the vehicle noise according to the motor rotating speed signal.
That is to say, a photoelectric sensor is arranged on a vehicle output shaft to be tested, a photoelectric signal is acquired according to the vehicle output shaft, then an output shaft rotating speed value is determined according to the photoelectric signal, a noise sensor is arranged on the right ear of a driver in the vehicle, an input shaft rotating speed value is calculated according to the output shaft rotating speed value and a preset speed ratio value, wherein the rotating speed ratio can directly obtain a corresponding numerical value according to the vehicle model, the input shaft rotating speed value can also be a motor rotating speed value, finally a motor rotating speed signal is generated according to the input shaft rotating speed value, and a vehicle noise frequency spectrum characteristic diagram is generated through the noise sensor according to the motor rotating speed signal.
Step S20: and analyzing the spectrum characteristic diagram to obtain a target howling order value.
The step of analyzing the spectrum characteristic diagram to obtain the target howling order value is to determine a target order diagram by a preset order extraction method according to the spectrum characteristic diagram, and perform filtering analysis on the target order diagram to obtain the target howling order value.
And the step of carrying out filter analysis on the target order graph to obtain a target howling order value comprises the steps of obtaining an initial order value by a filter analysis method according to the target order graph, and carrying out data analysis on the initial order value to obtain the target howling order value.
Step S30: and judging whether the target howling order value is consistent with the standard howling order value or not.
Step S40: and when the target howling order value is consistent with the standard howling order value, determining a howling checking result according to the target howling order value.
Before the step of judging whether the target howling order value is consistent with the standard howling order value or not, acquiring the number of driving teeth and the number of driven teeth according to the vehicle information, and determining the standard howling order value according to the number of the driving teeth and the number of the driven teeth.
The step of determining the howling checking result according to the target howling order value is to determine a howling component of the vehicle according to the target howling order value, perform noise spectrum checking on the howling component to obtain a spectrum checking result, and when the spectrum checking result meets a preset condition, take the spectrum checking result as the howling checking result.
Further, for ease of understanding, the following is exemplified:
firstly, determining the frequency characteristic of the right ear noise of a driver when the pure electric vehicle runs.
Identifying problematic conditions (acceleration or coasting conditions)
The method comprises the steps of subjectively evaluating that an obvious squeaking phenomenon exists in a pure electric vehicle when the pure electric vehicle runs, and collecting noise in the pure electric vehicle under an acceleration or sliding working condition.
Confirming frequency characteristics;
and analyzing the noise spectrum in the vehicle under the problem working condition, and confirming the frequency order characteristic of the right ear squeaking of the driver when a certain pure electric vehicle runs.
The order 9.5 of the right ear of a driver is the main reason causing the acceleration squeal in the automobile through order extraction and filtering analysis and comparison with subjective evaluation, and the squeal corresponding to the order 9.5 of the right ear of the driver in the automobile is found out through calculation and analysis of the order of the gear pair of the speed reducer of the electric automobile, the order of the motor and the order of the switching frequency, wherein the squeal is generated when the two-stage speed reducing gear of the speed reducer of the electric automobile is meshed, namely the squeal of the subjective evaluation is generated when the two-stage speed reducing gear of the speed reducer of the electric automobile is meshed. And finally, tooth profile repairing is carried out on the secondary reduction gear of the speed reducer, and the contact of tooth surfaces is improved to reduce squeal generated by gear meshing in the acceleration process.
As can be seen from table 1 below, table 1 shows the parameters of the vehicle retarder and the generated squeal order:
TABLE 1
The order calculation mode of the electromagnetic noise of the motor is as follows:
the motor order calculation formula for a motor with 8-stage 48 slots is as follows:
order of the motor is fn＝2Kf
Where P represents the logarithm of the steps, e.g. 4 steps is 2 pairs, N represents the motor speed, and K represents 1,2,3, 4.
Referring to table 2, table 2 shows the motor parameters and the generated squeal order of the vehicle:
TABLE 2
The switching frequency howling orders are generally umbrella-like orders, which are clearly distinguished from the conventional orders: 1) the starting point is not zero (0 revolution 0 HZ); 2) umbrella scattering, typically multiples of 1000HZ, occurs on both sides of the center frequency.
The noise source is the motor, the reducer or the switching frequency is judged by the order corresponding to the noise of the right ear of the driver in the table 3, and the table 3 is a parameter comparison table of the automobile reducer and the motor.
TABLE 3
Finally, the generation means of the howling is determined with reference to table 3 by order analysis of the noise spectrum of the driver's right ear.
In this embodiment, vehicle information under a preset working condition is first acquired, a spectrum characteristic diagram of vehicle noise is determined according to the vehicle information, then the spectrum characteristic diagram is analyzed to obtain a target howling order value, then whether the target howling order value is consistent with a standard howling order value or not is judged, and finally a howling checking result is determined according to the target howling order value when the target howling order value is consistent with the standard howling order value. By the method, the frequency spectrum characteristic diagram is analyzed to obtain the target howling order value, and whether the target howling order value is consistent with the standard howling order value or not is judged, so that the source of the howling generated when the automobile runs is rapidly determined, and the user experience is improved.
In addition, referring to fig. 3, fig. 3 is a diagram illustrating a second embodiment of the car squeal troubleshooting method according to the invention based on the first embodiment of the car squeal troubleshooting method.
In the second embodiment, the step S10 in the automobile howling troubleshooting method further includes:
step S101: the method comprises the steps of obtaining vehicle information under a preset working condition, and obtaining a vehicle light sensing value according to the vehicle information.
Step S102: and determining the rotating speed value of the output shaft according to the vehicle light sensation value.
Step S103: and calculating the rotating speed value of the input shaft according to the rotating speed value of the output shaft and a preset speed ratio value.
Step S104: and generating a motor rotating speed signal according to the rotating speed value of the input shaft.
Step S105: and generating a frequency spectrum characteristic diagram of the vehicle noise according to the motor rotating speed signal.
The vehicle information includes component information and vehicle model information corresponding to the vehicle.
The preset working condition may be that the vehicle is accelerated to run, or the vehicle is coasting to run, and the present embodiment is not limited.
The step of determining the frequency spectrum characteristic diagram of the vehicle noise according to the vehicle information comprises the steps of obtaining a vehicle photosensitive value according to the vehicle information, determining an output shaft rotating speed value according to the vehicle photosensitive value, and generating the frequency spectrum characteristic diagram of the vehicle noise according to the output shaft rotating speed value.
The step of generating the frequency spectrum characteristic diagram of the vehicle noise according to the output shaft rotating speed value comprises the steps of calculating an input shaft rotating speed value according to the output shaft rotating speed value and a preset rotating speed ratio, generating a motor rotating speed signal according to the input shaft rotating speed value, and generating the frequency spectrum characteristic diagram of the vehicle noise according to the motor rotating speed signal.
That is to say, a photoelectric sensor is arranged on a vehicle output shaft to be tested, a photoelectric signal is acquired according to the vehicle output shaft, then an output shaft rotating speed value is determined according to the photoelectric signal, a noise sensor is arranged on the right ear of a driver in the vehicle, an input shaft rotating speed value is calculated according to the output shaft rotating speed value and a preset speed ratio value, wherein the rotating speed ratio can directly obtain a corresponding numerical value according to the vehicle model, the input shaft rotating speed value can also be a motor rotating speed value, finally a motor rotating speed signal is generated according to the input shaft rotating speed value, and a vehicle noise frequency spectrum characteristic diagram is generated through the noise sensor according to the motor rotating speed signal.
In this embodiment, first, vehicle information under a preset working condition is acquired, a vehicle light sensing value is acquired according to the vehicle information, then, an output shaft rotating speed value is determined according to the vehicle light sensing value, then, an input shaft rotating speed value is calculated according to the output shaft rotating speed value and a preset rotating speed ratio value, a motor rotating speed signal is generated according to the input shaft rotating speed value, and finally, a spectrum characteristic diagram of vehicle noise is generated according to the motor rotating speed signal. Through the mode, the rotating speed value of the output shaft is determined according to the vehicle photosensitive value, and then the rotating speed value of the input shaft is calculated according to the rotating speed value of the output shaft and the preset speed ratio value, so that a precise frequency spectrum characteristic diagram corresponding to vehicle noise is obtained.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores a car squeal troubleshooting program, and the car squeal troubleshooting program, when executed by a processor, implements the steps of the car squeal troubleshooting method described above.
In addition, referring to fig. 4, an embodiment of the present invention further provides an automobile squeal troubleshooting device, where the automobile squeal troubleshooting device includes: the acquisition module 4001 is configured to acquire vehicle information under a preset working condition, and determine a spectrum characteristic diagram of vehicle noise according to the vehicle information; the analysis module 4002 is configured to analyze the spectrum characteristic diagram to obtain a target howling order value; a judging module 4003, configured to judge whether the target howling order value is consistent with a standard howling order value; a determining module 4004, configured to determine a squeal elimination result according to the target squeal order value when the target squeal order value is consistent with the standard squeal order value.
The acquisition module 4001 is configured to acquire vehicle information under a preset working condition, and determine a spectral characteristic diagram of vehicle noise according to the vehicle information.
It should be noted that the execution subject of this embodiment is the car squeal checking device, where the car squeal checking device may obtain vehicle information, a spectrum characteristic diagram of vehicle noise, and a target squeal order value under a preset working condition, and judge whether the target squeal order value is consistent with a standard squeal order value, and the car squeal checking device may also be other devices, which is not limited in this embodiment.
The vehicle information includes part information and a vehicle model corresponding to the vehicle.
The preset working condition may be that the vehicle is accelerated to run, or the vehicle is coasting to run, and the present embodiment is not limited.
The step of determining the frequency spectrum characteristic diagram of the vehicle noise according to the vehicle information comprises the steps of obtaining a vehicle photosensitive value according to the vehicle information, determining an output shaft rotating speed value according to the vehicle photosensitive value, and generating the frequency spectrum characteristic diagram of the vehicle noise according to the output shaft rotating speed value.
The step of generating the frequency spectrum characteristic diagram of the vehicle noise according to the output shaft rotating speed value comprises the steps of calculating an input shaft rotating speed value according to the output shaft rotating speed value and a preset rotating speed ratio, generating a motor rotating speed signal according to the input shaft rotating speed value, and generating the frequency spectrum characteristic diagram of the vehicle noise according to the motor rotating speed signal.
That is to say, a photoelectric sensor is arranged on a vehicle output shaft to be tested, a photoelectric signal is acquired according to the vehicle output shaft, then an output shaft rotating speed value is determined according to the photoelectric signal, a noise sensor is arranged on the right ear of a driver in the vehicle, an input shaft rotating speed value is calculated according to the output shaft rotating speed value and a preset speed ratio value, wherein the rotating speed ratio can directly obtain a corresponding numerical value according to the vehicle model, the input shaft rotating speed value can also be a motor rotating speed value, finally a motor rotating speed signal is generated according to the input shaft rotating speed value, and a vehicle noise frequency spectrum characteristic diagram is generated through the noise sensor according to the motor rotating speed signal.
The analysis module 4002 is configured to analyze the spectrum characteristic diagram to obtain a target howling order value.
The step of analyzing the spectrum characteristic diagram to obtain the target howling order value is to determine a target order diagram by a preset order extraction method according to the spectrum characteristic diagram, and perform filtering analysis on the target order diagram to obtain the target howling order value.
And the step of carrying out filter analysis on the target order graph to obtain a target howling order value comprises the steps of obtaining an initial order value by a filter analysis method according to the target order graph, and carrying out data analysis on the initial order value to obtain the target howling order value.
The judging module 4003 is configured to judge whether the target howling order value is consistent with a standard howling order value.
The determining module 4004 is configured to determine a squeal elimination result according to the target squeal order value when the target squeal order value is consistent with the standard squeal order value.
Before the step of judging whether the target howling order value is consistent with the standard howling order value or not, acquiring the number of driving teeth and the number of driven teeth according to the vehicle information, and determining the standard howling order value according to the number of the driving teeth and the number of the driven teeth.
The step of determining the howling checking result according to the target howling order value is to determine a howling component of the vehicle according to the target howling order value, perform noise spectrum checking on the howling component to obtain a spectrum checking result, and when the spectrum checking result meets a preset condition, take the spectrum checking result as the howling checking result.
Further, for ease of understanding, the following is exemplified:
firstly, determining the frequency characteristic of the right ear noise of a driver when the pure electric vehicle runs.
Identifying problematic conditions (acceleration or coasting conditions)
The method comprises the steps of subjectively evaluating that an obvious squeaking phenomenon exists in a pure electric vehicle when the pure electric vehicle runs, and collecting noise in the pure electric vehicle under an acceleration or sliding working condition.
Confirming frequency characteristics
And analyzing the noise spectrum in the vehicle under the problem working condition, and confirming the frequency order characteristic of the right ear squeaking of the driver when a certain pure electric vehicle runs.
The order 9.5 of the right ear of a driver is the main reason causing the acceleration squeal in the automobile through order extraction and filtering analysis and comparison with subjective evaluation, and the squeal corresponding to the order 9.5 of the right ear of the driver in the automobile is found out through calculation and analysis of the order of the gear pair of the speed reducer of the electric automobile, the order of the motor and the order of the switching frequency, wherein the squeal is generated when the two-stage speed reducing gear of the speed reducer of the electric automobile is meshed, namely the squeal of the subjective evaluation is generated when the two-stage speed reducing gear of the speed reducer of the electric automobile is meshed. And finally, tooth profile repairing is carried out on the secondary reduction gear of the speed reducer, and the contact of tooth surfaces is improved to reduce squeal generated by gear meshing in the acceleration process.
As can be seen from table 1 below, table 1 shows the parameters of the vehicle retarder and the generated squeal order:
TABLE 1
The order calculation mode of the electromagnetic noise of the motor is as follows:
the motor order calculation formula for a motor with 8-stage 48 slots is as follows:
order of the motor is fn＝2Kf
Where P represents the logarithm of the steps, e.g. 4 steps is 2 pairs, N represents the motor speed, and K represents 1,2,3, 4.
Referring to table 2, table 2 shows the motor parameters and the generated squeal order of the vehicle:
TABLE 2
The switching frequency howling orders are generally umbrella-like orders, which are clearly distinguished from the conventional orders: 1) the starting point is not zero (0 revolution 0 HZ); 2) umbrella scattering, typically multiples of 1000HZ, occurs on both sides of the center frequency.
The noise source is the motor, the reducer or the switching frequency is judged by the order corresponding to the noise of the right ear of the driver in the table 3, and the table 3 is a parameter comparison table of the automobile reducer and the motor.
TABLE 3
Finally, the generation means of the howling is determined with reference to table 3 by order analysis of the noise spectrum of the driver's right ear.
In this embodiment, vehicle information under a preset working condition is first acquired, a spectrum characteristic diagram of vehicle noise is determined according to the vehicle information, then the spectrum characteristic diagram is analyzed to obtain a target howling order value, then whether the target howling order value is consistent with a standard howling order value or not is judged, and finally a howling checking result is determined according to the target howling order value when the target howling order value is consistent with the standard howling order value. By the method, the frequency spectrum characteristic diagram is analyzed to obtain the target howling order value, and whether the target howling order value is consistent with the standard howling order value or not is judged, so that the source of the howling generated when the automobile runs is rapidly determined, and the user experience is improved.
Other embodiments or specific implementation manners of the automobile squeal checking device of the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order, but rather the words first, second, third, etc. are to be interpreted as names.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., a Read Only Memory (ROM)/Random Access Memory (RAM), a magnetic disk, an optical disk), and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. The automobile squeaking checking method is characterized by comprising the following steps of:
acquiring vehicle information under a preset working condition, and determining a frequency spectrum characteristic diagram of vehicle noise according to the vehicle information;
analyzing the spectrum characteristic diagram to obtain a target howling order value;
judging whether the target howling order value is consistent with a standard howling order value or not;
when the target howling order value is consistent with the standard howling order value, determining a howling checking result according to the target howling order value;
the step of analyzing the spectrum characteristic diagram to obtain a target howling order value includes:
determining a target order graph by a preset order extraction method according to the frequency spectrum characteristic graph;
and carrying out filter analysis on the target order graph to obtain a target howling order value, wherein the target howling order value comprises an electric vehicle speed reducer gear pair order value, a motor order value and a switching frequency order value.
2. The method of claim 1, wherein the step of determining a spectral characteristic map of vehicle noise from the vehicle information comprises:
acquiring a vehicle light sensing value according to the vehicle information;
determining a rotating speed value of an output shaft according to the vehicle light sensing value;
and generating a frequency spectrum characteristic diagram of the vehicle noise according to the output shaft rotating speed value.
3. The method of claim 2, wherein the step of generating a spectral map of vehicle noise based on the output shaft speed value comprises:
calculating the rotating speed value of the input shaft according to the rotating speed value of the output shaft and a preset speed ratio value;
generating a motor rotating speed signal according to the rotating speed value of the input shaft;
and generating a frequency spectrum characteristic diagram of the vehicle noise according to the motor rotating speed signal.
4. The method of claim 1, wherein the step of performing filter analysis on the target order map to obtain a target howling order value comprises:
obtaining an initial order value through a filter analysis method according to the target order graph;
and carrying out data analysis on the initial order value to obtain a target howling order value.
5. The method of claim 1, wherein before the step of determining whether the target howling order value is consistent with a standard howling order value, the method further comprises:
acquiring the number of driving teeth and the number of driven teeth according to the vehicle information;
and determining a standard howling order value according to the number of the driving teeth and the number of the driven teeth.
6. The method of claim 1, wherein the step of determining a howling elimination result according to the target howling rank value comprises:
determining a squeal component of the vehicle according to the target squeal order value;
performing noise spectrum checking on the howling component to obtain a spectrum checking result;
and when the frequency spectrum checking result meets a preset condition, taking the frequency spectrum checking result as a howling checking result.
7. An automobile squeaking checking device is characterized by comprising the following components:
the acquisition module is used for acquiring vehicle information under a preset working condition and determining a frequency spectrum characteristic diagram of vehicle noise according to the vehicle information;
the analysis module is used for analyzing the spectrum characteristic diagram to obtain a target howling order value;
the judging module is used for judging whether the target howling order value is consistent with a standard howling order value or not;
the determining module is used for determining a howling checking result according to the target howling order value when the target howling order value is consistent with the standard howling order value;
wherein, the car squeal investigation device still includes: determining a target order graph by a preset order extraction method according to the frequency spectrum characteristic graph; and carrying out filter analysis on the target order graph to obtain a target howling order value, wherein the target howling order value comprises an electric vehicle speed reducer gear pair order value, a motor order value and a switching frequency order value.
8. An automobile squeal troubleshooting apparatus characterized by comprising: a memory, a processor and a car squeal troubleshooting program stored on the memory and operable on the processor, the car squeal troubleshooting program implementing the steps of the car squeal troubleshooting method as recited in any one of claims 1 to 6 when executed by the processor.
9. A storage medium, characterized in that the storage medium stores therein a car squeal troubleshooting program, and the car squeal troubleshooting program when executed by a processor implements the steps of the car squeal troubleshooting method recited in any one of claims 1 to 6.
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| CN113624335B (en) * | 2021-10-09 | 2022-01-25 | 江铃汽车股份有限公司 | Method for testing and evaluating exhaust airflow sound in vehicle rapid acceleration process |
| CN114813110A (en) * | 2022-05-09 | 2022-07-29 | 潍柴动力股份有限公司 | Gear squeal detection method and device, computer equipment and storage medium |
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