Road surface riding quality identification method based on inverse virtual excitation method

Abstract

The invention discloses a road surface riding quality identification method based on an inverse virtual excitation method. The road surface riding quality identification method comprises the steps ofestablishing a 1 / 2 vehicle 6-DOF system model, obtaining a frequency response function matrix [H(f)] of the system, and based on a matrix inverse transformation method, solving for a generalized inverse matrix [H(f)]+ of the frequency response function matrix of the system; obtaining an unsprung mass and centroid vertical acceleration of a front axle and an unsprung mass and centroid vertical acceleration of a rear axle, obtaining a vehicle body centroid vertical acceleration and a vehicle body pitch acceleration, and constructing a vertical displacement response vector {z-tilde(t)} of the system using a fast Fourier transform method; according to the generalized inverse matrix [H(f)]+ and the virtual displacement response vector {z-tilde(t)}, solving for an effective road surface virtualexcitation vector {qe-tilde(t)}, and according to a time domain transfer function H(f)qe~qr of tire containment characteristics, solving for an actual road surface virtual excitation vector {qr-tilde(t)}; and according to the actual road surface virtual excitation vector {qr-tilde(t)}, solving for an international roughness index (IRI) of the spatial frequency to further obtain the road surface riding quality index (RQI). The method is simple to operate and high in efficiency.

Description

technical field [0001] The invention relates to a road driving quality identification method, and more particularly, the present invention relates to a road driving quality identification method based on an inverse virtual excitation method. Background technique [0002] With the development of economy, great achievements have been made in highway construction and car ownership in my country. At the end of 2016, my country's total highway mileage was 4.6963 million kilometers, and the road maintenance mileage was 4.59 million kilometers, accounting for 97.7% of the total highway mileage. Correspondingly, the national motor vehicle ownership amounted to 290 million, of which 194 million were automobiles. Road driving quality is a road surface characterization index that both road builders and road users are concerned about. [0003] In 2007, the Ministry of Communications issued the "Highway Technical Condition Evaluation Standard (JTG H20-2007)", which uses the Riding Qual...

AI Technical Summary

Problems solved by technology

Although the manual profiler has high measurement accuracy and stable measurement results, it has problems such as low measurement efficiency, long time-consuming and high labor cost; the vehicle-mounted non-contact profiler has the characteristics of high measurement efficiency and short time-consuming, but it is expensive. , complex operation, long personnel training cycle, cumbersome testing procedures, etc.

In addition, manual profilers and vehicle-mounted profilers have strict requirements for measuring road surfaces. Generally, roads such as accumulated water, snow, mud, oil, and sand are not suitable for measurement

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