基于马尔科夫过程的行驶工况构建中数据处理与分析

Data disposal and analysis for driving cycle construction based on Markov process approach

在利用马尔科夫过程构建行驶工况的方法中,将车辆的行驶状况看做一个随机过程,只需求得实验数据的状态转移矩阵,便可得到随机过程的统计性质,通过对实验数据进行状态划分、模型事件分类、模型事件集确定,最终可得到实验数据的转移矩阵。文章简述了马尔科夫构建行驶工况的基本原理及实验数据的处理方法和转移矩阵的求法,并利用VBA语言设计了一种数据分析处理程序。

In the process of driving cycle construction with Markov process approach, vehicular travel is treated as a stochastic process. The statistical character of the stochastic process is determined through the state transition matrix of experimental data. The final transition matrix of experimental data is obtained by analyzing state partition, model event partition, model event bin confirmation. The paper introduces basic principle of Markov process approach, the processing method of experimental data and the resolution method of transition matrix. Finally a data process program is designed with VBA language.