Title :
Modeling and control strategy simulation of extended-range electric vehicle
Author :
Yu, Junwei ; Zhang, Yong ; Liu, Nan ; Wang, Bin
Author_Institution :
Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
Extended-range electric vehicles (E-REVs) have developed to relieve the range anxiety of pure electric vehicles (EVS). E-REVs are clean, efficient, and well suited to meet the needs of city life. The dynamic model and control strategy for E-REV are defined in this paper. The simulation system facilitates components´ parameter selection and optimization of control strategy in E-REV designing. A typical E-REV is designed with the proposed Simulink model.
Keywords :
digital simulation; electric vehicles; E-REV; Simulink model; component parameter selection; control strategy optimization; control strategy simulation; dynamic model; extended-range electric vehicle; Batteries; Engines; Hybrid electric vehicles; Mathematical model; Resistance; System-on-a-chip; E-REV; control strategy; simulation; state of charge;
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
DOI :
10.1109/TMEE.2011.6199330
