Statistic Driving Cycle Analysis and application for hybrid electric vehicle parametric design

Abstract

An optimal parametric design is the precondition of an excellent performance of a HEV. A novel approach, Statistic Driving Cycles Analysis (SDCA), is put forward. The SDCA is based on the characteristic statistic of the existing driving cycles. In order to analyze the driving cycles commendably, a novel concept, Cycle Block, is put forward correspondingly. By choosing the characteristic parameters to represent the driving cycles, most of the typical driving cycles are statistically analyzed. As a consequence, taking a midsize HEV designing as an example, the optimal parameters are calculated. To evaluate the feasibility of the SDCA method, some simulations are carried out. A stochastic made up driving cycle is used to evaluate the adaptitude of the SDCA method. Further more, the contrastive simulations are carried out to test the advantage of the SDCA method.