A method for acquiring and editing load spectrum of drive shaft systems for a all-terrain vehicle

2022-01-0313

03/29/2022

Event
WCX SAE World Congress Experience
Authors Abstract
Content
Durability road test of a vehicle is an important test to verify the reliability of vehicle components. In order to carry out the durability bench test for drive shaft systems of all-terrain vehicles, a method for acquiring time domain signals of articulation angles, input torques and rotation speeds of drive shaft systems is proposed. The acquired load spectrum of drive shaft systems is preprocessed including deleting small amplitudes, de-drifting, deburring, filtering, etc. Peaks and valleys are extracted from the preprocessed load spectrum. Based on the graphic method and the estimator stabilization method, the upper and lower thresholds of the time domain extrapolation of the load spectrum are determined, and then the peaks and valleys excesses that exceed the upper and lower thresholds are extracted. The generalized pareto distribution function is used to fit the distribution of peaks and valleys excesses. Based on the fitted distribution of the extracted peaks and valleys excesses, new peaks and valley excesses with the same number as the original peaks and valleys excesses are randomly generated, and the new peaks and valley excesses replace the original peak and valley excesses, respectively, so as to realize the time domain extrapolation of load spectrum. The extrapolated load spectrum is subjected to level classification processing, and the time at level method is used to determine the distribution of articulation angles and shaft rotation speeds on the basis of different input torque levels. Based on the above analysis methods, a method for editing the program spectrum of durability bench test is proposed.
Meta TagsDetails
Citation
Luo, Q., Li, L., Shangguan, W., Hou, Q. et al., "A method for acquiring and editing load spectrum of drive shaft systems for a all-terrain vehicle," SAE Technical Paper 2022-01-0313, 2022, .
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0313
Content Type
Technical Paper
Language
English