운전성향 정량화 알고리즘

Abstract

ECMS is the optimal power distribution method of the HEV and this algorithm calculates equivalence factor that is the average efficiency about the conversion of electric energy into fuel energy or fuel energy into electric energy at the whole of fixed drive cycle. This paper provides the basic study that proposes the novel A-ECMS algorithm focused on the weakness improvement about the existing power distribution and the driver tendency. For this study the quantification of the driver tendency is needed. Thus, the index that represented the driver tendency is defined, and the driver tendency is quantified. In addition, the driver model that mimic various driver is developed, using Matlab/Simulink . Also to classify the different driver tendency, typical driving patterns are defined. The proposed algorithm is verified by simulation that is accomplished HEV model developed by AVL Cruise and HCU algorithm based on ECMS. Using accelerator, decelerator and vehicle speed signal result from application of different driving patterns to the driver model, Index is obtained by developed driver tendency quantification algorithm.