考虑不同路面特征的军用履带车辆循环工况构建

A tracked vehicle driving cycle considering road features is established to effectively evaluate the fuel economy of the vehicle powertrain. The operating data of vehicle on paved road, gravel road and undulating dirt road are collected as original data, and the data are filtered by wavelet analysis. Based on the processed vehicle data, the typical driving cycles under the condition of the three road surfaces are constructed by using principal component analysis, K-means clustering and Markov chain, and the similarity analysis of the constructed driving cycle is carried out. The research results show that the proposed method can be used to effectively construct the driving cycle that resembles the operating characteristics of military tracked vehicles, and the characteristics of the driving cycles under the condition of the three road surfaces have high similarity with the original data, the root mean square errors of the joint vehicle speed-acceleration probability distribution with the original data for the three road surfaces are 0. 035 6, 0. 003 9 and 0. 019 6, respectively, so the driving cycle constructed in this paper can effectively reflect the real operation of tracked vehicles.