Experimental Research on Chaotic Analysis of Electric Vehicle Vibration Signal

Abstract:

In order to research chaotic dynamics of electric vehicles, the vehicle experiment was carried out, and the experimental data were analysed. First, the vehicle experiment in the paving road was carried out, the vertical acceleration signals of wheel center, shock absorber top mount and battery bottom center were measured. Secondly, the noise of signals were reduced by using the wavelet analysis, and compare the effect between global threshold noise reduction and layered threshold noise reduction, then found that the effect of the layered threshold was better. With the denoised signals, the Poincaré sections and phase diagrams of the vertical of left front wheel center, the front left shock absorber top mount and battery bottom center were calculated, and time delay was calculated by using the mutual information method, and also minimum embedding dimension was calculated through the Cao method, the largest Lyapunov exponent was obtained by using the small data sets method. The results show that the presence of chaotic motions in the electric vehicle when traveling on paving road. The results of the study can avoid the generation of chaotic motion in the design and analysis of electric vehicle as much as possible.

Key words:electric vehicles; chaotic motions; experimental research