Damage analysis of the electric transmission system for hybrid special vehicles based on condition recognition

To improve the reliability level of key components in the electric transmission system of hybrid special vehicles, this paper studies on its damages under typical operating conditions. Based on practical test data from a test field of a certain hybrid special vehicle, the original data are preprocessed, and characteristic parameters that correlated with the leading loads causing failure of the electric transmission system components are constructed. The principal component analysis method is used to reduce the dimensionality of the multidimensional characteristic parameters, and the K-means clustering algorithm is employed to divide the operating segments of the special vehicle into five typical operating conditions. Furthermore, the damages of the electric transmission system components under different conditions before and after load extrapolation is analyzed using the rainflow counting method and the damage accumulation model. The research results provide insightful reference for the selection of reliability test conditions and the compilation of load spectra for key components of the electric transmission system in hybrid special vehicles.