Wheel speed signal analysis method, device, equipment and storage medium

Abstract

The present invention discloses a wheel speed signal analysis method, device, equipment and storage medium. The present invention determines the wheel speed test frequency according to the working frequency range of the wheel speed sensor; tests the wheel speed sensor according to the mechanical air gap of the sensor and the wheel speed test frequency to obtain multiple groups of single-tooth error data; determines the wheel speed signal jitter value according to the multiple groups of single-tooth error data; and generates the signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value. The present invention tests the wheel speed sensor signal according to the mechanical air gap and the wheel speed test frequency to obtain the single-tooth error data, and then calculates the wheel speed signal jitter value, and analyzes the wheel speed signal jitter value, so that technicians in this field can improve the accuracy and stability of the wheel speed sensor signal according to the wheel speed signal jitter value analysis result.

Description

Technical Field

[0001] The present invention relates to the technical field of tire pressure monitoring, and in particular to a wheel speed signal analysis method, device, equipment and storage medium. Background Art

[0002] The indirect tire pressure monitoring system (iTPMS) can monitor tire pressure using wheel speed signals from the anti-lock brake system or the electronic stability control system of the vehicle. The indirect tire pressure monitoring system processes the wheel speed sensor signal and uses algorithms such as rolling radius analysis and spectrum analysis to determine whether the tire is leaking. When a tire is leaking, the dynamic load rolling radius of the tire will decrease, and the rolling speed of the leaking tire will increase; at the same time, the tire torsional stiffness will decrease, and the resonance frequency will decrease, so all leaks from 1st to 4th wheel can be detected within the detection range. Therefore, the accuracy and stability of the wheel speed sensor signal are very important for the indirect tire pressure monitoring system.

[0003] In the actual automobile manufacturing process, the accuracy and stability of the wheel speed sensor signal cannot be further improved due to the inability to conduct a good analysis and test on the jitter of the wheel speed sensor signal.

[0004] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide a wheel speed signal analysis method, device, equipment and storage medium, aiming to solve the technical problem that the prior art cannot make a good analysis and test of the jitter of the wheel speed sensor signal, resulting in the inability to further improve the accuracy and stability of the wheel speed sensor signal.

[0006] To achieve the above object, the present invention provides a wheel speed signal analysis method, the wheel speed signal analysis method comprising the following steps:

[0007] Determine the wheel speed test frequency according to the working frequency range of the wheel speed sensor;

[0008] Testing the wheel speed sensor according to the mechanical air gap of the sensor and the wheel speed test frequency to obtain multiple groups of single tooth error data;

[0009] determining a wheel speed signal jitter value according to the plurality of sets of single-tooth error data;

[0010] A signal analysis result of the wheel speed sensor is generated based on the wheel speed signal jitter value.

[0011] Optionally, before the step of determining the wheel speed test frequency according to the working frequency range of the wheel speed sensor, the step further includes:

[0012] Obtaining tire rolling radius information and gear ring tooth number information matching the wheel speed sensor;

[0013] Calculate the single tooth distance of the gear ring according to the tire rolling radius information and the gear ring teeth number information;

[0014] The operating frequency range of the wheel speed sensor is calculated based on the single tooth distance of the gear ring and the vehicle speed range.

[0015] Optionally, the step of testing the wheel speed sensor according to the sensor mechanical air gap and the wheel speed test frequency to obtain multiple groups of single tooth error data includes:

[0016] Obtaining a mechanical air gap range of the wheel speed sensor;

[0017] Determining a wheel speed test air gap according to the mechanical air gap range;

[0018] The wheel speed sensor is tested according to the wheel speed test frequency and the wheel speed test air gap to obtain multiple groups of single-tooth error data; wherein the wheel speed test frequency includes multiple test frequencies, the wheel speed test air gap includes multiple test air gap values, one test frequency corresponds to multiple test air gap values, and one test air gap value corresponds to a group of single-tooth error data.

[0019] Optionally, the step of determining the wheel speed signal jitter value according to the multiple sets of single tooth error data includes:

[0020] A plurality of groups of single-tooth error standard deviations are calculated based on 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 deviation by three.

[0021] Optionally, the step of generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value includes:

[0022] detecting a jitter value of the wheel speed signal;

[0023] When there is no jitter value of the wheel speed signal greater than the preset standard jitter value, outputting an analysis result indicating that the wheel speed signal stability is qualified;

[0024] When there is a wheel speed signal jitter value greater than the preset standard jitter value, an analysis result indicating that the wheel speed signal stability is unqualified is output.

[0025] Optionally, after the step of calculating the operating frequency range of the wheel speed sensor according to the single tooth distance of the gear ring and the vehicle speed range, the step further includes:

[0026] Obtaining the operating frequency range of the wheel speed sensor chip;

[0027] Detecting the operating frequency range of the wheel speed sensor based on the operating frequency range of the chip;

[0028] When the operating frequency range of the wheel speed sensor is not within the operating frequency range of the chip, outputting an analysis result indicating that the wheel speed sensor is unqualified;

[0029] When the operating frequency range of the wheel speed sensor is within the operating frequency range of the chip, the step of determining the wheel speed test frequency according to the operating frequency range of the wheel speed sensor is performed.

[0030] Optionally, after the step of calculating the wheel speed signal jitter value according to the multiple sets of single tooth error data, the step further includes:

[0031] 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;

[0032] With the wheel speed test air gap as the horizontal coordinate and the wheel speed signal jitter value as the vertical coordinate, a wheel speed signal stability line graph is generated, wherein there are multiple wheel speed test frequencies, and one wheel speed signal test frequency corresponds to one stability line graph.

[0033] In addition, to achieve the above-mentioned purpose, the present invention further provides a wheel speed signal analysis device, the wheel speed signal analysis device comprising:

[0034] A frequency acquisition module, used to determine the wheel speed test frequency according to the working frequency range of the wheel speed sensor;

[0035] An error testing module, used to test the wheel speed sensor according to the sensor mechanical air gap and the wheel speed test frequency to obtain multiple groups of single tooth error data;

[0036] A data analysis module, used for determining a wheel speed signal jitter value according to the plurality of sets of single-tooth error data;

[0037] A result generating module is used to generate a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value.

[0038] In addition, to achieve the above-mentioned purpose, the present invention also proposes a wheel speed signal analysis device, which includes: a memory, a processor, and a wheel speed signal analysis program stored in the memory and executable on the processor, wherein the wheel speed signal analysis program is configured to implement the steps of the wheel speed signal analysis method described above.

[0039] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a wheel speed signal analysis program is stored, and when the wheel speed signal analysis program is executed by a processor, the steps of the wheel speed signal analysis method described above are implemented.

[0040] The present invention determines the wheel speed test frequency according to the working frequency range of the wheel speed sensor; tests the wheel speed sensor according to the mechanical air gap of the sensor and the wheel speed test frequency to obtain multiple groups of single-tooth error data; determines the wheel speed signal jitter value according to the multiple groups of single-tooth error data; and generates the signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value. The present invention tests the wheel speed sensor signal according to the mechanical air gap and the wheel speed test frequency to obtain the single-tooth error data, and then calculates the wheel speed signal jitter value, and analyzes the wheel speed signal jitter value, so that technicians in this field can improve the accuracy and stability of the wheel speed sensor signal according to the wheel speed signal jitter value analysis result. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a structural schematic diagram of a wheel speed signal analysis device in a hardware operating environment involved in an embodiment of the present invention;

[0042] Figure 2 It is a flowchart of the first embodiment of the wheel speed signal analysis method of the present invention;

[0043] Figure 3 It is a flowchart of a second embodiment of the wheel speed signal analysis method of the present invention;

[0044] Figure 4 It is a flowchart of a third embodiment of the wheel speed signal analysis method of the present invention;

[0045] Figure 5 This is a structural block diagram of the first embodiment of the wheel speed signal analysis device of the present invention.

[0046] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0047] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0048] Reference Figure 1 , Figure 1 The diagram is a structural diagram of a wheel speed signal analysis device in a hardware operating environment according to an embodiment of the present invention.

[0049] like Figure 1As shown, the wheel speed signal analysis device 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. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0050] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the wheel speed signal analysis device, and may include more or less components than those shown in the figure, or combine certain components, or arrange the components differently.

[0051] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a wheel speed signal analysis program.

[0052] exist Figure 1 In the wheel speed signal analysis device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the wheel speed signal analysis device of the present invention can be set in the wheel speed signal analysis device, and the wheel speed signal analysis device calls 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.

[0053] The embodiment of the present invention provides a wheel speed signal analysis method, referring to Figure 2 , Figure 2 FIG. 1 is a flow chart of a first embodiment of a wheel speed signal analysis method according to the present invention.

[0054] In this embodiment, the wheel speed signal analysis method includes the following steps:

[0055] Step S10: determining the wheel speed test frequency according to the operating frequency range of the wheel speed sensor.

[0056] It should be noted that the execution subject of this embodiment may be a computer, and the wheel speed sensor is a sensor used to measure the rotation speed of the vehicle wheel. For modern vehicles, the vehicle dynamic control system (VDC), the vehicle electronic stability program (ESP), the anti-lock braking system (ABS), the automatic transmission control system, etc. all require wheel speed information; in this embodiment, the wheel speed sensor may be a magnetoelectric wheel speed sensor or a Hall wheel speed sensor;

[0057] It can be understood that the operating frequency range of the wheel speed sensor is determined according to the vehicle speed, that is, the speed range of the vehicle is linearly related to the operating frequency range of the wheel speed sensor; the wheel speed test frequency refers to a suitable test frequency selected from the operating frequency of the wheel speed sensor based on actual test experience, that is, the wheel speed sensor performs a wheel speed signal test at the test frequency.

[0058] Step S20: testing the wheel speed sensor according to the sensor mechanical air gap and the wheel speed test frequency to obtain multiple groups of single tooth error data.

[0059] It should be noted that the sensor mechanical air gap refers to the gap between the magnetic core and the ring gear of the wheel speed sensor. In this embodiment, different mechanical air gaps and wheel speed test frequencies are selected to test the wheel speed sensor to obtain single tooth error data of multiple wheel speed sensors at different operating frequencies and mechanical air gaps.

[0060] Step S30: determining the wheel speed signal jitter value according to the multiple sets of single tooth error data;

[0061] It should be noted that the wheel speed signal jitter value is a data used to reflect the accuracy of the wheel speed signal, and can also be used to evaluate the stability of the wheel speed signal; in this embodiment, the wheel speed signal jitter value refers to the error standard deviation of the wheel speed signal, which can be calculated through multiple sets of single tooth error data.

[0062] Step S40: generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value.

[0063] It should be noted that after obtaining the wheel speed signal jitter value, it is necessary to perform accuracy analysis and stability analysis on the wheel speed sensor based on the wheel speed signal jitter value to determine whether it meets the needs of actual applications; due to the interference of hardware factors, environmental factors and other factors, the error cannot be completely eliminated, that is, the wheel speed signal will always have a certain jitter. We need to analyze the wheel speed sensor based on the wheel speed signal jitter value, and then reduce the jitter of the wheel speed sensor signal as much as possible to keep it within a certain range, thereby improving the accuracy and stability of the wheel speed sensor.

[0064] This embodiment determines the wheel speed test frequency according to the working frequency range of the wheel speed sensor; tests 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; determines the wheel speed signal jitter value according to the multiple sets of single-tooth error data; and generates the signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value. This embodiment tests the wheel speed sensor signal according to the mechanical air gap and the wheel speed test frequency to obtain single-tooth error data, and then calculates the wheel speed signal jitter value, and analyzes the wheel speed signal jitter value, so that technicians in this field can improve the accuracy and stability of the wheel speed sensor signal according to the wheel speed signal jitter value analysis results.

[0065] refer to Figure 3 , Figure 3 FIG. 2 is a flow chart of a second embodiment of a wheel speed signal analysis method according to the present invention.

[0066] Based on the first embodiment above, in this embodiment, before step S10, the following steps are further included:

[0067] Step S01: obtaining tire rolling radius information and gear ring tooth number information matched with the wheel speed sensor;

[0068] Step S02: calculating the distance between single teeth of the gear ring according to the tire rolling radius information and the gear ring teeth number information;

[0069] Step S03: Calculate the operating frequency range of the wheel speed sensor according to the single tooth distance of the ring gear and the vehicle speed range.

[0070] It should be noted that, in the present embodiment, the tire rolling radius information refers to the moving radius of the tire when the vehicle is running, and is not the radius of the tire under normal conditions. This is because the tire will be subjected to pressure when the vehicle is moving, causing the radius to become smaller. Therefore, the tire rolling radius needs to be determined based on actual conditions; the number of teeth in the gear ring refers to the number of gears in one circle.

[0071] It can be understood that after knowing the tire rolling radius information, the distance the tire rolls in one circle can be calculated based on the circumference formula, and then divided by the number of teeth to get the distance traveled by a single tooth of the gear ring; by using the maximum vehicle speed and minimum vehicle speed according to the speed formula to calculate the maximum and minimum distances traveled by the vehicle in 1 second, and comparing them with the distance traveled by a single tooth of the gear ring, the maximum and minimum operating frequencies can be obtained.

[0072] In this embodiment, after step S03, the following steps are further included:

[0073] Step S04: obtaining the operating frequency range of the wheel speed sensor chip;

[0074] Step S05: detecting the operating frequency range of the wheel speed sensor based on the operating frequency range of the chip;

[0075] Step S06: when the operating frequency range of the wheel speed sensor is not within the operating frequency range of the chip, outputting an analysis result indicating that the wheel speed sensor is unqualified;

[0076] Step S07: When the operating frequency range of the wheel speed sensor is within the operating frequency range of the chip, execute step S10.

[0077] It is understandable that the chip of the wheel speed sensor has its operating frequency range. When the operating frequency range is exceeded, the chip may not be able to monitor valid data. Therefore, before testing the wheel speed sensor, it is necessary to detect its chip to determine whether the operating frequency range of the wheel speed sensor is within the operating frequency range of the chip. If not, it is necessary to re-select a suitable chip for the wheel speed sensor. If so, the wheel speed signal analysis can be started.

[0078] Based on the above first embodiment, in this embodiment, step S20 specifically includes:

[0079] Step S21: Acquire the mechanical air gap range of the wheel speed sensor.

[0080] 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 ring gear of the wheel speed sensor is adjustable, and the adjustable distance range is the mechanical air gap range of the wheel speed sensor.

[0081] Step S22: determining a wheel speed test air gap according to the mechanical air gap range.

[0082] It can be understood that after knowing the mechanical air gap range, the appropriate wheel speed test air gap can be selected based on the actual situation. The range of the wheel speed test air gap should include the above-mentioned mechanical air gap range, that is, 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.

[0083] Step S23: Testing the wheel speed sensor according to the wheel speed test frequency and the wheel speed test air gap to obtain multiple groups of single-tooth error data; wherein the wheel speed test frequency includes multiple test frequencies, the wheel speed test air gap includes multiple test air gap values, one test frequency corresponds to multiple test air gap values, and one test air gap value corresponds to a group of single-tooth error data.

[0084] It should be noted that, in a specific implementation, the wheel speed signal of the wheel speed sensor is tested multiple times at the same wheel speed test frequency and the same wheel speed test air gap to obtain multiple single-tooth error data, and the multiple single-tooth error data at the same wheel speed test frequency and the same wheel speed test air gap are organized into a group of single-tooth error data. After testing one group, the wheel speed test frequency is kept unchanged, and the wheel speed sensor at different wheel speed test air gaps is tested to obtain multiple groups of single-tooth error data at the same wheel speed test frequency; then the wheel speed test frequency is changed, and the above steps are repeated to obtain more single-tooth error data.

[0085] This embodiment obtains tire radius information, gear ring tooth number information and vehicle speed information to calculate the operating frequency range of the wheel speed sensor, and determines the frequency conditions for testing the wheel speed sensor for wheel speed signal analysis; this embodiment also establishes a variety of different wheel speed sensor test environments through wheel speed test frequency and wheel speed test air gap, so that the final test data is more complete and comprehensive.

[0086] refer to Figure 4 , Figure 4 FIG. 4 is a flow chart of a third embodiment of a wheel speed signal analysis method according to the present invention.

[0087] Based on the above embodiments, in this embodiment, step S30 includes:

[0088] Step S30': Calculate multiple groups of single-tooth error standard deviations according to the multiple groups of single-tooth error data, and multiply the single-tooth error standard deviations by three to determine the wheel speed signal jitter value.

[0089] It can be understood that, based on the 3 sigma criterion, in this embodiment, 3σ is used to represent the wheel speed signal jitter value, and the calculation method of σ is the calculation method of the standard deviation, which can be calculated based on the single tooth error data.

[0090] Based on the above embodiments, in this embodiment, step S40 includes:

[0091] Step S41: detecting the wheel speed signal jitter value;

[0092] Step S42: when there is no jitter value of the wheel speed signal greater than the preset standard jitter value, outputting an analysis result indicating that the wheel speed signal stability is qualified;

[0093] Step S43: When there is a wheel speed signal jitter value greater than the preset standard jitter value, output an analysis result indicating that the wheel speed signal stability is unqualified.

[0094] It is understandable that there is generally a criterion for judging the jitter of wheel speed sensor signals. In the present embodiment, the wheel speed signal is qualified only when its jitter value is lower than 0.5%. The preset standard jitter value, i.e. 0.5%, is set in advance. Therefore, it is necessary to compare all the wheel speed signal jitter values ​​obtained from the test to determine whether there is data that does not meet the preset standard jitter value. If so, it means that the wheel speed sensor is unqualified and needs to be improved.

[0095] In this embodiment, after step S43, the following steps are further included:

[0096] Step 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;

[0097] Step S45: With the wheel speed test air gap as the horizontal coordinate and the wheel speed signal jitter value as the vertical coordinate, a wheel speed signal stability line graph is generated, wherein there are multiple wheel speed test frequencies, and one wheel speed signal test frequency corresponds to one stability line graph.

[0098] It should be noted that the wheel speed signal jitter value is expressed in a line graph so that the technician can clearly see the change of the wheel speed signal jitter value, and thus better evaluate the stability of the wheel speed sensor signal.

[0099] This embodiment uses 3σ to represent the wheel speed signal jitter value, so that technicians in this field can more clearly understand the jitter of the wheel speed sensor signal through the wheel speed signal jitter value, and can better analyze its accuracy and stability.

[0100] In addition, an embodiment of the present invention further provides a storage medium, on which a wheel speed signal analysis program is stored. When the wheel speed signal analysis program is executed by a processor, the steps of the wheel speed signal analysis method described above are implemented.

[0101] Reference Figure 5 , Figure 5 This is a structural block diagram of the first embodiment of the wheel speed signal analysis device of the present invention.

[0102] like Figure 5 As shown, the wheel speed signal analysis device proposed in the embodiment of the present invention includes:

[0103] A frequency acquisition module 501 is used to determine the wheel speed test frequency according to the working frequency range of the wheel speed sensor;

[0104] It should be noted that the execution subject of this embodiment may be a computer, and the wheel speed sensor is a sensor used to measure the rotation speed of the vehicle wheel. For modern vehicles, the vehicle dynamic control system (VDC), the vehicle electronic stability program (ESP), the anti-lock braking system (ABS), the automatic transmission control system, etc. all require wheel speed information; in this embodiment, the wheel speed sensor may be a magnetoelectric wheel speed sensor or a Hall wheel speed sensor;

[0105] It can be understood that the operating frequency range of the wheel speed sensor is determined according to the vehicle speed, that is, the speed range of the vehicle is linearly related to the operating frequency range of the wheel speed sensor; the wheel speed test frequency refers to a suitable test frequency selected from the operating frequency of the wheel speed sensor based on actual test experience, that is, the wheel speed sensor performs a wheel speed signal test at the test frequency.

[0106] An error testing module 502 is used to test the wheel speed sensor according to the sensor mechanical air gap and the wheel speed test frequency to obtain multiple groups of single tooth error data;

[0107] It should be noted that the sensor mechanical air gap refers to the gap between the magnetic core and the ring gear of the wheel speed sensor. In this embodiment, different mechanical air gaps and wheel speed test frequencies are selected to test the wheel speed sensor to obtain single tooth error data of multiple wheel speed sensors at different operating frequencies and mechanical air gaps.

[0108] A data analysis module 503, configured to determine a wheel speed signal jitter value according to the plurality of sets of single tooth error data;

[0109] It should be noted that the wheel speed signal jitter value is a data used to reflect the accuracy of the wheel speed signal, and can also be used to evaluate the stability of the wheel speed signal; in this embodiment, the wheel speed signal jitter value refers to the error standard deviation of the wheel speed signal, which can be calculated through multiple sets of single tooth error data.

[0110] The result generating module 504 is used to generate the signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value.

[0111] It should be noted that after obtaining the wheel speed signal jitter value, it is necessary to perform accuracy analysis and stability analysis on the wheel speed sensor based on the wheel speed signal jitter value to determine whether it meets the needs of actual applications; due to the interference of hardware factors, environmental factors and other factors, the error cannot be completely eliminated, that is, the wheel speed signal will always have a certain jitter. We need to analyze the wheel speed sensor based on the wheel speed signal jitter value, and then reduce the jitter of the wheel speed sensor signal as much as possible to keep it within a certain range, thereby improving the accuracy and stability of the wheel speed sensor.

[0112] This embodiment determines the wheel speed test frequency according to the working frequency range of the wheel speed sensor; tests 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; determines the wheel speed signal jitter value according to the multiple sets of single-tooth error data; and generates the signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value. This embodiment tests the wheel speed sensor signal according to the mechanical air gap and the wheel speed test frequency to obtain single-tooth error data, and then calculates the wheel speed signal jitter value, and analyzes the wheel speed signal jitter value, so that technicians in this field can improve the accuracy and stability of the wheel speed sensor signal according to the wheel speed signal jitter value analysis results.

[0113] Other embodiments or specific implementations of the wheel speed signal analysis device of the present invention may refer to the above-mentioned method embodiments, which will not be described in detail here.

[0114] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0115] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0116] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0117] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A wheel speed signal analysis method, characterized in that: The wheel speed signal analysis method comprises the following steps: Determine the wheel speed test frequency according to the working frequency range of the wheel speed sensor; Testing the wheel speed sensor according to the mechanical air gap of the sensor and the wheel speed test frequency to obtain multiple groups of single tooth error data; determining a wheel speed signal jitter value according to the plurality of sets of single-tooth error data; A signal analysis result of the wheel speed sensor is generated based on the wheel speed signal jitter value.

2. The wheel speed signal analysis method according to claim 1, characterized in that: Before the step of determining the wheel speed test frequency according to the working frequency range of the wheel speed sensor, the method further includes: Obtaining tire rolling radius information and gear ring tooth number information matching the wheel speed sensor; Calculate the single tooth distance of the gear ring according to the tire rolling radius information and the gear ring teeth number information; The operating frequency range of the wheel speed sensor is calculated based on the single tooth distance of the gear ring and the vehicle speed range.

3. The wheel speed signal analysis method according to claim 1, characterized in that: The step of testing the wheel speed sensor according to the sensor mechanical air gap and the wheel speed test frequency to obtain multiple groups of single tooth error data includes: Obtaining a mechanical air gap range of the wheel speed sensor; Determining a wheel speed test air gap according to the mechanical air gap range; The wheel speed sensor is tested according to the wheel speed test frequency and the wheel speed test air gap to obtain multiple groups of single-tooth error data; wherein the wheel speed test frequency includes multiple test frequencies, the wheel speed test air gap includes multiple test air gap values, one test frequency corresponds to multiple test air gap values, and one test air gap value corresponds to a group of single-tooth error data.

4. The wheel speed signal analysis method according to claim 1, characterized in that: The step of determining the wheel speed signal jitter value according to the multiple sets of single tooth error data comprises: A plurality of groups of single-tooth error standard deviations are calculated based on 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 deviation by three.

5. The wheel speed signal analysis method according to claim 1, characterized in that: The step of generating a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value comprises: detecting a jitter value of the wheel speed signal; When there is no jitter value of the wheel speed signal greater than the preset standard jitter value, outputting an analysis result indicating that the wheel speed signal stability is qualified; When there is a wheel speed signal jitter value greater than a preset standard jitter value, an analysis result indicating that the wheel speed signal stability is unqualified is output.

6. The wheel speed signal analysis method according to claim 2, characterized in that: After the step of calculating the operating 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: Obtaining the operating frequency range of the wheel speed sensor chip; Detecting the operating frequency range of the wheel speed sensor based on the operating frequency range of the chip; When the operating frequency range of the wheel speed sensor is not within the operating frequency range of the chip, outputting an analysis result indicating that the wheel speed sensor is unqualified; When the operating frequency range of the wheel speed sensor is within the operating frequency range of the chip, the step of determining the wheel speed test frequency according to the operating frequency range of the wheel speed sensor is performed.

7. The wheel speed signal analysis method according to claim 3, characterized in that: 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; With the wheel speed test air gap as the horizontal coordinate and the wheel speed signal jitter value as the vertical coordinate, a wheel speed signal stability line graph is generated, wherein there are multiple wheel speed test frequencies, and one wheel speed signal test frequency corresponds to one stability line graph.

8. A wheel speed signal analysis device, characterized in that: The wheel speed signal analysis device comprises: A frequency acquisition module, used to determine the wheel speed test frequency according to the working frequency range of the wheel speed sensor; An error testing module, used for testing the wheel speed sensor according to the mechanical air gap of the sensor and the wheel speed test frequency to obtain multiple groups of single tooth error data; A data analysis module, used for determining a wheel speed signal jitter value according to the plurality of sets of single-tooth error data; A result generating module is used to generate a signal analysis result of the wheel speed sensor based on the wheel speed signal jitter value.

9. A wheel speed signal analysis device, characterized in that: The device comprises: a memory, a processor, and a wheel speed signal analysis program stored in the memory and executable on the processor, wherein the wheel speed signal analysis program is configured to implement the steps of the wheel speed signal analysis method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a wheel speed signal analysis program, and when the wheel speed signal analysis program is executed by the processor, the steps of the wheel speed signal analysis method according to any one of claims 1 to 7 are implemented.

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