CN-122016305-A - Intelligent control system and method for fatigue test of automobile transmission shaft

Abstract

The invention discloses an intelligent control system and method for an automobile transmission shaft fatigue test, which relate to the technical field of transmission shaft fatigue test and comprise the steps of firstly collecting and preprocessing rigidity data in real time, then calculating a rigidity abnormal coefficient, judging whether a transmission shaft is fatigued according to the rigidity abnormal coefficient, if not, further calculating a fatigue trend coefficient to analyze whether the transmission shaft tends to be fatigued, and finally, timely giving out early warning according to a fatigue conclusion obtained by any analysis. The method and the device realize early warning of the fatigue state of the transmission shaft by collecting the rigidity data in real time and calculating the abnormal rigidity coefficient, avoid time and resource waste caused by thoroughly destroying the test piece in the traditional test, enable the fatigue judgment to be more efficient, accurate and quantifiable by utilizing the automatic comparison of the coefficient and the threshold value, and simultaneously obtain the fatigue trend coefficient by analyzing the abnormal rigidity change slope, so that the damage evolution trend can be prejudged, the early warning time is advanced, and the controllability and the overall test efficiency of the test process are remarkably improved.

Inventors

• ZHAO GUOZHU
• ZHAO BIN

Assignees

• 斯捷尔传动机械(杭州)有限公司

Dates

Publication Date

20260512

Application Date

20260211

Claims (10)

1. 1. An intelligent control method for an automobile transmission shaft fatigue test is characterized by comprising the following specific steps: S1, acquiring rigidity data in real time and preprocessing; S2, calculating the preprocessed rigidity data to obtain a rigidity abnormal coefficient, analyzing whether the transmission shaft is tired according to the rigidity abnormal coefficient, and executing S4 if the transmission shaft is tired, and executing S3 if the transmission shaft is not tired; S3, calculating according to the abnormal stiffness coefficient to obtain a fatigue trend coefficient, analyzing whether the transmission shaft tends to be tired according to the fatigue trend coefficient, if so, executing S4, and if so, returning to S1; and S4, sending out an alarm.
2. 2. The intelligent control method for the fatigue test of the automobile transmission shaft according to claim 1, wherein the abnormal stiffness coefficient is obtained by the following steps: Presetting a rigidity abnormal threshold value, and performing difference value calculation on the value of the real-time rigidity data and the rigidity abnormal threshold value to obtain a rigidity abnormal coefficient; Wherein, the method comprises the steps of, Represents the coefficient of stiffness anomaly, A value representing the stiffness data in real-time, Representing an abnormal stiffness threshold.
3. 3. The intelligent control method for the fatigue test of the automobile transmission shaft according to claim 2, wherein the method for analyzing whether the transmission shaft is fatigued according to the abnormal stiffness coefficient is as follows: comparing the abnormal stiffness coefficient with zero, if the abnormal stiffness coefficient is greater than or equal to zero, the fatigue of the transmission shaft is indicated, and if the abnormal stiffness coefficient is less than zero, the fatigue of the transmission shaft is indicated.
4. 4. The intelligent control method for the fatigue test of the automobile transmission shaft according to claim 3, wherein the specific acquisition mode of the fatigue trend coefficient is as follows: And under the time sequence, analyzing the change slope of the abnormal stiffness coefficient to obtain the fatigue trend coefficient.
5. 5. The intelligent control method for the fatigue test of the automobile transmission shaft according to claim 4, wherein the method for analyzing the change slope of the abnormal stiffness coefficient is as follows: Establishing a two-dimensional coordinate system, wherein the horizontal axis of the coordinate system represents a time sequence, the vertical axis of the coordinate system represents a stiffness abnormal coefficient, obtaining coordinate points at different moments, recording the coordinate points as stiffness coordinate points, sequentially carrying out slope calculation on the stiffness coordinate points at the next moment and the stiffness coordinate points at the last moment to obtain stiffness slopes, and analyzing the steep trend of the stiffness slopes.
6. 6. The intelligent control method for the fatigue test of the automobile transmission shaft according to claim 5, wherein the method for acquiring the stiffness slope is as follows: ; Wherein, the Represents the slope of the stiffness and, The ordinate representing the stiffness coordinate point at the next moment, The ordinate representing the stiffness coordinate point at the previous moment, The abscissa representing the stiffness coordinate point at the next moment, The abscissa of the stiffness coordinate point at the previous time is indicated.
7. 7. The intelligent control method for the fatigue test of the automobile transmission shaft according to claim 6, wherein the method for analyzing the steep trend of the stiffness slope is as follows: The method comprises the steps of presetting a detection time window and a fatigue trend coefficient, wherein the fatigue trend coefficient is initially assigned to zero, comparing the next stiffness slope with the previous stiffness slope in the detection time window, calculating the next stiffness slope and the previous stiffness slope in the detection time window if the next stiffness slope is continuously smaller than the previous stiffness slope, assigning the calculation result to the fatigue trend coefficient, and if not, continuing to compare and not assigning the fatigue trend coefficient.
8. 8. The intelligent control method for the fatigue test of the automobile transmission shaft according to claim 7, wherein the method for calculating the next stiffness slope and the previous stiffness slope in the detection time window is as follows: And in the detection time window, sequentially carrying out difference calculation on the next stiffness slope and the previous stiffness slope, and carrying out summation calculation on the result of the difference calculation.
9. 9. The intelligent control method for the fatigue test of the automobile transmission shaft according to claim 8, wherein the method for analyzing whether the transmission shaft tends to be fatigued according to the fatigue trend coefficient is as follows: Comparing the fatigue trend coefficient with zero, if the fatigue trend coefficient is larger than zero, the transmission shaft tends to be tired, and if the fatigue trend coefficient is equal to zero, the transmission shaft does not tend to be tired.
10. 10. An intelligent control system for an automobile transmission shaft fatigue test, which is used for realizing the intelligent control method for the automobile transmission shaft fatigue test according to any one of claims 1-9, and is characterized by comprising a data acquisition module, a transmission shaft fatigue analysis module, a fatigue trend analysis module and an alarm module; the data acquisition module is used for acquiring rigidity data in real time and preprocessing the rigidity data; The transmission shaft fatigue analysis module is used for calculating the preprocessed rigidity data to obtain a rigidity abnormal coefficient, analyzing whether the transmission shaft is tired according to the rigidity abnormal coefficient, and executing the alarm module if the transmission shaft is tired, and executing the fatigue trend analysis module if the transmission shaft is not tired; The fatigue trend analysis module is used for calculating according to the abnormal stiffness coefficient to obtain a fatigue trend coefficient, analyzing whether the transmission shaft tends to be tired according to the fatigue trend coefficient, and executing the alarm module if the transmission shaft tends to be tired; And the alarm module is used for sending out an alarm.

Description

Intelligent control system and method for fatigue test of automobile transmission shaft Technical Field The invention relates to the technical field of fatigue testing of transmission shafts, in particular to an intelligent control system and method for an automobile transmission shaft fatigue test. Background The automobile transmission shaft is used as a core transmission part between the power assembly and the driving axle, is subjected to the rotation torque output by the engine and the alternating load of the road surface for a long time, is extremely easy to generate fatigue damage due to the cyclic stress, and can cause the transmission shaft to be broken due to fatigue failure, and the driving safety and reliability are directly influenced. However, the existing fatigue test cannot early warn the impending fatigue damage, and the fatigue test must be terminated after the transmission shaft is completely broken, and the process cannot stop the worthless test in advance, so that the time and the resources are obviously wasted. Disclosure of Invention Aiming at the defects of the prior art, the invention provides an intelligent control system and method for an automobile transmission shaft fatigue test, which solve the problems of low efficiency and high cost in the test process caused by the fact that the existing fatigue test lacks damage early warning capability and can be finished when the transmission shaft is completely broken. The intelligent control method for the fatigue test of the automobile transmission shaft comprises the following specific steps of S1, collecting rigidity data in real time and preprocessing the rigidity data, S2, calculating the rigidity abnormal coefficient, analyzing whether the transmission shaft is tired according to the rigidity abnormal coefficient, executing S4 if the transmission shaft is tired, executing S3 if the transmission shaft is not tired, S3, calculating according to the rigidity abnormal coefficient, obtaining a fatigue trend coefficient, analyzing whether the transmission shaft is tired according to the fatigue trend coefficient, executing S4 if the transmission shaft is tired, returning to S1 if the transmission shaft is not tired, and S4, sending an alarm. Further, the abnormal stiffness coefficient is obtained by presetting an abnormal stiffness threshold, and calculating the difference between the value of the real-time stiffness data and the abnormal stiffness threshold to obtain the abnormal stiffness coefficient; Wherein, the method comprises the steps of, Represents the coefficient of stiffness anomaly,A value representing the stiffness data in real-time,Representing an abnormal stiffness threshold. Further, the method for analyzing whether the transmission is tired according to the abnormal stiffness coefficient is that the abnormal stiffness coefficient is compared with zero, if the abnormal stiffness coefficient is larger than or equal to zero, the fatigue of the transmission shaft is indicated, and if the abnormal stiffness coefficient is smaller than zero, the fatigue of the transmission shaft is indicated. Further, the specific acquisition mode of the fatigue trend coefficient is as follows, under a time sequence, the change slope of the stiffness abnormal coefficient is analyzed, and the fatigue trend coefficient is obtained. Further, the method for analyzing the change slope of the stiffness abnormal coefficient comprises the steps of establishing a two-dimensional coordinate system, wherein the horizontal axis of the coordinate system represents a time sequence, the vertical axis of the coordinate system represents the stiffness abnormal coefficient, obtaining coordinate points at different moments, recording the coordinate points as stiffness coordinate points, sequentially carrying out slope calculation on the stiffness coordinate points at the next moment and the stiffness coordinate points at the last moment to obtain the stiffness slope, and analyzing the steep trend of the stiffness slope. Further, the method for obtaining the stiffness slope is as follows: Wherein, the method comprises the steps of, Represents the slope of the stiffness and,The ordinate representing the stiffness coordinate point at the next moment,The ordinate representing the stiffness coordinate point at the previous moment,The abscissa representing the stiffness coordinate point at the next moment,The abscissa of the stiffness coordinate point at the previous time is indicated. Further, the method for analyzing the steep trend of the stiffness slope comprises the steps of presetting a detection time window and a fatigue trend coefficient, and initially assigning zero to the fatigue trend coefficient, comparing the next stiffness slope with the previous stiffness slope in the detection time window, calculating the next stiffness slope and the previous stiffness slope in the detection time window if the next stiffness slope is continuously smaller than the prev