Disclosure of Invention
The invention mainly aims to provide a wheel speed signal analysis method, a device, equipment and a storage medium, and aims to solve the technical problem that the accuracy and stability of a wheel speed sensor signal cannot be further improved because the prior art cannot make better analysis and test on the jitter of the wheel speed sensor signal.
In order to achieve the above object, the present invention provides a wheel speed signal analysis method comprising the steps of:
determining a wheel speed test frequency according to the working frequency range of the wheel speed sensor;
Testing the wheel speed sensor according to a mechanical air gap of the sensor and the wheel speed test frequency to obtain a plurality of groups of single-tooth error data;
determining a wheel speed signal jitter value according to the plurality of groups of single tooth error data;
and generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value.
Optionally, before the step of determining the wheel speed test frequency according to the operating frequency range of the wheel speed sensor, the method further includes:
Acquiring tire rolling radius information and gear ring tooth number information matched with the wheel speed sensor;
Calculating to obtain a single tooth distance of the gear ring according to the rolling radius information of the tire and the tooth number information of the gear ring;
And calculating the working frequency range of the wheel speed sensor according to the single tooth distance of the gear ring and the vehicle speed range.
Optionally, the step of testing the wheel speed sensor according to the mechanical air gap of the sensor and the wheel speed test frequency to obtain multiple sets of single tooth error data includes:
acquiring a mechanical air gap range of the wheel speed sensor;
Determining a wheel speed test air gap according to the mechanical air gap range;
And testing the wheel speed sensor according to the wheel speed test frequency and the wheel speed test air gap to obtain a plurality of groups of single-tooth error data, wherein the wheel speed test frequency comprises a plurality of test frequencies, the wheel speed test air gap comprises a plurality of test air gap values, one test frequency corresponds to the plurality of test air gap values, and one test air gap value corresponds to one group of single-tooth error data.
Optionally, the step of determining the wheel speed signal jitter value according to the multiple sets of single tooth error data includes:
And calculating a plurality of groups of single tooth error standard deviations according to the plurality of groups of single tooth error data, and multiplying the single tooth error standard deviations by three to determine the wheel speed signal jitter value.
Optionally, the step of generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value includes:
detecting the jitter value of the wheel speed signal;
Outputting an analysis result of qualified wheel speed signal stability when the wheel speed signal jitter value which is larger than the preset standard jitter value does not exist;
And outputting an analysis result of disqualification of the stability of the wheel speed signal when the wheel speed signal jitter value larger than the preset standard jitter value exists.
Optionally, after the step of calculating the working frequency range of the wheel speed sensor according to the single tooth distance of the gear ring and the vehicle speed range, the method further includes:
acquiring the working frequency range of the wheel speed sensor chip;
detecting the working frequency range of the wheel speed sensor based on the working frequency range of the chip;
Outputting an unqualified analysis result of the wheel speed sensor when the working frequency range of the wheel speed sensor is not within the working frequency range of the chip;
And when the operating frequency range of the wheel speed sensor is within the operating frequency range of the chip, executing the step of determining the wheel speed test frequency according to the operating frequency range of the wheel speed sensor.
Optionally, after the step of calculating the wheel speed signal jitter value according to the multiple sets of single tooth error data, the method further includes:
screening out a plurality of wheel speed signal jitter values obtained by testing at the same wheel speed test frequency, wherein one wheel speed test air gap corresponds to one wheel speed signal jitter value;
And generating a wheel speed signal stability line graph by taking the wheel speed test air gap as an abscissa and the wheel speed signal jitter value as an ordinate, wherein a plurality of wheel speed test frequencies exist, and one wheel speed signal test frequency corresponds to one stability line graph.
In addition, in order to achieve the above object, the present invention also proposes a wheel speed signal analysis device including:
the frequency acquisition module is used for determining the wheel speed test frequency according to the working frequency range of the wheel speed sensor;
The error testing module is used for testing the wheel speed sensor according to the mechanical air gap of the sensor and the wheel speed testing frequency to obtain a plurality of groups of single-tooth error data;
The data analysis module is used for determining a wheel speed signal jitter value according to the plurality of groups of single tooth error data;
and the result generation module is used for generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value.
In addition, in order to achieve the above object, the present invention also proposes a wheel speed signal analysis apparatus including a memory, a processor, and a wheel speed signal analysis program stored on the memory and operable on the processor, the wheel speed signal analysis program being configured to implement the steps of the wheel speed signal analysis method as described above.
In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon a wheel speed signal analysis program which, when executed by a processor, implements the steps of the wheel speed signal analysis method as described above.
The method comprises the steps of determining a wheel speed test frequency according to a working frequency range of a wheel speed sensor, testing the wheel speed sensor according to a mechanical air gap of the sensor and the wheel speed test frequency to obtain a plurality of groups of single tooth error data, determining a wheel speed signal jitter value according to the plurality of groups of single tooth error data, and generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value. According to the invention, the wheel speed sensor signal is tested according to the mechanical air gap and the wheel speed test frequency to obtain single tooth error data, so that the wheel speed signal jitter value is calculated, and the wheel speed signal jitter value is analyzed, so that the precision and stability of the wheel speed sensor signal can be improved according to the wheel speed signal jitter value analysis result by a person skilled in the art.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a wheel speed signal analysis device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the wheel speed signal analysis device may include a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. 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 high-speed random access Memory (Random Access Memory, RAM) or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Those skilled in the art will appreciate that the structure shown in FIG. 1 is not limiting of the wheel speed signal analysis apparatus and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a wheel speed signal analysis program may be included in the memory 1005 as one type of storage medium.
In the wheel speed signal analysis apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server, the user interface 1003 is mainly used for data interaction with a user, and the processor 1001 and the memory 1005 in the wheel speed signal analysis apparatus of the present invention may be provided in the wheel speed signal analysis apparatus, which invokes the wheel speed signal analysis program stored in the memory 1005 through the processor 1001, and executes the wheel speed signal analysis method provided by the embodiment of the present invention.
The embodiment of the invention provides a wheel speed signal analysis method, referring to fig. 2, fig. 2 is a flow chart of a first embodiment of the wheel speed signal analysis method of the invention.
In this embodiment, the wheel speed signal analysis method includes the steps of:
And S10, determining the wheel speed test frequency according to the working frequency range of the wheel speed sensor.
It should be noted that, the execution body of the embodiment may be a computer, and the wheel speed sensor is a sensor for measuring the rotation speed of a vehicle wheel, and for a modern vehicle, the vehicle dynamic control system (VDC), the vehicle Electronic Stability Program (ESP), the anti-lock brake system (ABS), the control system of an automatic transmission, etc. all need wheel speed information;
It can be understood that the operating frequency range of the wheel speed sensor is determined according to the speed of the automobile, namely, the speed range of the automobile is in linear relation with the operating frequency range of the wheel speed sensor, and the wheel speed test frequency is a proper test frequency selected from the operating frequencies of the wheel speed sensor according to actual test experience, namely, the wheel speed sensor is subjected to the wheel speed signal test at the test frequency.
And step S20, testing the wheel speed sensor according to the mechanical air gap of the sensor and the wheel speed test frequency to obtain a plurality of groups of single-tooth error data.
In this embodiment, different mechanical air gaps and wheel speed test frequencies are selected to test the wheel speed sensor, so as to obtain single tooth error data of a plurality of wheel speed sensors under different working frequencies and mechanical air gaps.
S30, determining a wheel speed signal jitter value according to the plurality of groups of single tooth error data;
It should be noted that the wheel speed signal jitter value is a data for embodying the accuracy of the wheel speed signal, and may also be used to evaluate the stability of the wheel speed signal, and in this embodiment, the wheel speed signal jitter value refers to the error standard deviation of the wheel speed signal, and may be obtained by calculating multiple sets of single tooth error data.
And S40, generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value.
After obtaining the jitter value of the wheel speed signal, the accuracy analysis and the stability analysis are required to be carried out on the wheel speed sensor according to the jitter value of the wheel speed signal to judge whether the jitter value meets the requirements in practical application, and because of the interference of other factors such as hardware factors, environmental factors and the like, errors are not completely eliminated, namely, the wheel speed signal always has certain jitter, the wheel speed sensor is required to be analyzed according to the jitter value of the wheel speed signal, so that the jitter of the wheel speed sensor signal is reduced as much as possible, the jitter of the wheel speed sensor is kept in a certain range, and the accuracy and the stability of the wheel speed sensor are improved.
The embodiment comprises the steps of determining a wheel speed test frequency according to a working frequency range of a wheel speed sensor, testing the wheel speed sensor according to a mechanical air gap of the sensor and the wheel speed test frequency to obtain a plurality of groups of single tooth error data, determining a wheel speed signal jitter value according to the plurality of groups of single tooth error data, and generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value. According to the embodiment, the wheel speed sensor signal is tested according to the mechanical air gap and the wheel speed test frequency to obtain single tooth error data, so that the wheel speed signal jitter value is calculated, and the wheel speed signal jitter value is analyzed, so that the accuracy and stability of the wheel speed sensor signal can be improved according to the wheel speed signal jitter value analysis result by a person skilled in the art.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of a wheel speed signal analysis method according to the present invention.
Based on the first embodiment, in this embodiment, before step S10, the method further includes:
Step S01, obtaining tire rolling radius information and gear ring tooth number information matched with the wheel speed sensor;
step S02, calculating to obtain a single tooth distance of the gear ring according to the rolling radius information of the tire and the tooth number information of the gear ring;
and S03, calculating the working frequency range of the wheel speed sensor according to the single tooth distance of the gear ring and the vehicle speed range.
In this embodiment, the tire rolling radius information refers to a radius of a tire when the vehicle is running, and is not a radius of a tire in a normal state, and the tire rolling radius needs to be determined according to actual conditions because the tire is subjected to pressure when the vehicle is running, and the number of teeth of the gear ring refers to the number of gears of one circle.
It can be understood that the distance of one circle of tire rolling can be calculated according to the circumference formula of a circle after the tire rolling radius information is known, the distance of single tooth of the gear ring can be obtained by dividing the distance by the number of teeth, and the maximum distance and the minimum distance of 1 second of vehicle are calculated according to the speed formula by using the maximum speed and the minimum speed, and the maximum working frequency and the minimum working frequency can be obtained by comparing the maximum distance and the minimum distance with the distance of single tooth of the gear ring.
In this embodiment, after the step S03, the method further includes:
Step S04, acquiring a working frequency range of the wheel speed sensor chip;
S05, detecting the working frequency range of the wheel speed sensor based on the working frequency range of the chip;
Step S06, outputting an unqualified analysis result of the wheel speed sensor when the working frequency range of the wheel speed sensor is not within the working frequency range of the chip;
Step S07, executing the step S10 when the operating frequency range of the wheel speed sensor is within the operating frequency range of the chip.
It can be understood that the chip of the wheel speed sensor has a working frequency range, and when the working frequency range is exceeded, the chip may not monitor the effective data, so before the wheel speed sensor is tested, the chip needs to be tested, and if the working frequency range of the wheel speed sensor is not within the working frequency range of the chip, a proper chip needs to be selected for the wheel speed sensor again, and if the working frequency range of the wheel speed sensor is not within the working frequency range of the chip, the wheel speed signal analysis can be started.
Based on the first embodiment, in this embodiment, the step S20 specifically includes:
and S21, acquiring a mechanical air gap range of the wheel speed sensor.
It should be noted that, the mechanical air gap of the wheel speed sensor has a maximum air gap and a minimum air gap, that is, the distance between the sensor head and the gear ring of the wheel speed sensor is adjustable, and the adjustable distance range is the mechanical air gap range of the wheel speed sensor.
And S22, determining a wheel speed test air gap according to the mechanical air gap range.
It will be appreciated that, knowing the range of mechanical air gaps, a suitable wheel speed test air gap may be chosen based on the actual situation, which should include the range of mechanical air gaps described above, i.e., the minimum value of the wheel speed test air gap should be less than the minimum value of the mechanical air gap, and the maximum value of the wheel speed test air gap should be greater than the maximum value of the mechanical air gap.
And S23, testing the wheel speed sensor according to the wheel speed test frequency and the wheel speed test air gap to obtain a plurality of groups of single tooth error data, wherein the wheel speed test frequency comprises a plurality of test frequencies, the wheel speed test air gap comprises a plurality of test air gap values, one test frequency corresponds to the plurality of test air gap values, and one test air gap value corresponds to one group of single tooth error data.
In specific implementation, the wheel speed signals of the wheel speed sensor are tested for multiple times aiming at the same wheel speed test frequency and the same wheel speed test air gap to obtain multiple single tooth error data, the multiple single tooth error data under the same wheel speed test frequency and the same wheel speed test air gap are arranged into a group of single tooth error data, after the group is tested, the wheel speed test frequency is kept unchanged, the wheel speed sensors under different wheel speed test air gaps are tested to obtain multiple groups of single tooth error data under the same wheel speed test frequency, the wheel speed test frequency is replaced, and the steps are repeated to obtain more single tooth error data.
According to the embodiment, the working frequency range of the wheel speed sensor is calculated by acquiring the tire radius information, the tooth number information of the gear ring and the vehicle speed information, the frequency condition of the wheel speed sensor is determined for the analysis of the wheel speed signal, and various different wheel speed sensor testing environments are established through the wheel speed testing frequency and the wheel speed testing air gap, so that the finally obtained testing data is more complete and comprehensive.
Referring to fig. 4, fig. 4 is a flowchart illustrating a third embodiment of a wheel speed signal analysis method according to the present invention.
Based on the above embodiments, in this embodiment, the step S30 includes:
and step S30', a plurality of groups of single tooth error standard deviations are obtained through calculation according to the plurality of groups of single tooth error data, and the wheel speed signal jitter value can be determined by multiplying the single tooth error standard deviations by three.
It will be appreciated that, based on the 3 sigma criterion, in this embodiment, the wheel speed signal jitter value is represented by 3σ, and the calculation mode of σ is the calculation mode of the standard deviation, and can be calculated according to the single tooth error data.
Based on the above embodiments, in this embodiment, the step S40 includes:
s41, detecting the jitter value of the wheel speed signal;
Step S42, outputting an analysis result of qualified stability of the wheel speed signal when the wheel speed signal jitter value which is larger than the preset standard jitter value does not exist;
and S43, outputting an analysis result of disqualification of the stability of the wheel speed signal when the wheel speed signal jitter value larger than the preset standard jitter value exists.
It will be appreciated that, in this embodiment, only when the jitter value of the wheel speed signal is lower than 0.5%, the standard jitter value is calculated to be acceptable, that is, 0.5% is preset, so that all the wheel speed signal jitter values obtained by the test need to be compared to determine whether there is data that does not meet the standard jitter value, and if so, the wheel speed sensor is not acceptable, the improvement is needed.
In this embodiment, after the step S43, the method further includes:
S44, screening out a plurality of wheel speed signal jitter values obtained by testing at the same wheel speed test frequency, wherein one wheel speed test air gap corresponds to one wheel speed signal jitter value;
S45, generating a wheel speed signal stability line graph by taking the wheel speed test air gap as an abscissa and the wheel speed signal jitter value as an ordinate, wherein a plurality of wheel speed test frequencies exist, and one wheel speed signal test frequency corresponds to one stability line graph
It should be noted that the wheel speed signal jitter value is represented by a line graph, so that a technician can obviously see the variation condition of the wheel speed signal jitter value, and further better evaluate the stability of the wheel speed sensor signal.
The 3 sigma is used for representing the jitter value of the wheel speed signal, so that a person skilled in the art can more clearly know the jitter of the wheel speed sensor signal through the jitter value of the wheel speed signal, and can perform better analysis on the accuracy and stability of the wheel speed sensor signal.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium is stored with a wheel speed signal analysis program, and the wheel speed signal analysis program realizes the steps of the wheel speed signal analysis method when being executed by a processor.
Referring to fig. 5, fig. 5 is a block diagram showing the structure of a first embodiment of a wheel speed signal analyzing apparatus according to the present invention.
As shown in fig. 5, a wheel speed signal analysis device according to an embodiment of the present invention includes:
a frequency acquisition module 501 for determining a wheel speed test frequency according to an operating frequency range of the wheel speed sensor;
It should be noted that, the execution body of the embodiment may be a computer, and the wheel speed sensor is a sensor for measuring the rotation speed of a vehicle wheel, and for a modern vehicle, the vehicle dynamic control system (VDC), the vehicle Electronic Stability Program (ESP), the anti-lock brake system (ABS), the control system of an automatic transmission, etc. all need wheel speed information;
It can be understood that the operating frequency range of the wheel speed sensor is determined according to the speed of the automobile, namely, the speed range of the automobile is in linear relation with the operating frequency range of the wheel speed sensor, and the wheel speed test frequency is a proper test frequency selected from the operating frequencies of the wheel speed sensor according to actual test experience, namely, the wheel speed sensor is subjected to the wheel speed signal test at the test frequency.
The error testing module 502 is configured to test the wheel speed sensor according to a mechanical air gap of the sensor and the wheel speed testing frequency, so as to obtain multiple groups of single-tooth error data;
In this embodiment, different mechanical air gaps and wheel speed test frequencies are selected to test the wheel speed sensor, so as to obtain single tooth error data of a plurality of wheel speed sensors under different working frequencies and mechanical air gaps.
A data analysis module 503, configured to determine a wheel speed signal jitter value according to the multiple sets of single tooth error data;
It should be noted that the wheel speed signal jitter value is a data for embodying the accuracy of the wheel speed signal, and may also be used to evaluate the stability of the wheel speed signal, and in this embodiment, the wheel speed signal jitter value refers to the error standard deviation of the wheel speed signal, and may be obtained by calculating multiple sets of single tooth error data.
A result generation module 504 for generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value.
After obtaining the jitter value of the wheel speed signal, the accuracy analysis and the stability analysis are required to be carried out on the wheel speed sensor according to the jitter value of the wheel speed signal to judge whether the jitter value meets the requirements in practical application, and because of the interference of other factors such as hardware factors, environmental factors and the like, errors are not completely eliminated, namely, the wheel speed signal always has certain jitter, the wheel speed sensor is required to be analyzed according to the jitter value of the wheel speed signal, so that the jitter of the wheel speed sensor signal is reduced as much as possible, the jitter of the wheel speed sensor is kept in a certain range, and the accuracy and the stability of the wheel speed sensor are improved.
The embodiment comprises the steps of determining a wheel speed test frequency according to a working frequency range of a wheel speed sensor, testing the wheel speed sensor according to a mechanical air gap of the sensor and the wheel speed test frequency to obtain a plurality of groups of single tooth error data, determining a wheel speed signal jitter value according to the plurality of groups of single tooth error data, and generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value. According to the embodiment, the wheel speed sensor signal is tested according to the mechanical air gap and the wheel speed test frequency to obtain single tooth error data, so that the wheel speed signal jitter value is calculated, and the wheel speed signal jitter value is analyzed, so that the accuracy and stability of the wheel speed sensor signal can be improved according to the wheel speed signal jitter value analysis result by a person skilled in the art.
Other embodiments or specific implementation manners of the wheel speed signal analysis 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 one does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read-only memory/random-access memory, magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.