Title :
Optimization of Control Strategy for Plug-in Hybrid Electric Vehicle Based on Differential Evolution Algorithm
Author :
Zhang, Lipeng ; Lin, Cheng ; Niu, Xiang
Author_Institution :
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing
Abstract :
In order to improve fuel economy, reduce emission and maintain battery life, the simulation model and control strategy for plug-in hybrid electric vehicle were established by means of PSAT and MATLAB/SIMULINK. Based on differential evolution algorithm, the control parameters were global optimized. The simulation result shows that the optimized control parameters can obviously improve the vehicle economy. It not only proves the necessary of carrying out control parameters optimization, but also reflects the excellent ability of differential evolution algorithm to realize the global optimization.
Keywords :
energy conservation; environmental management; fuel economy; hybrid electric vehicles; secondary cells; MATLAB/SIMULINK; PSAT; differential evolution algorithm; fuel economy; plug-in hybrid electric vehicle; vehicle economy; Automobiles; Automotive engineering; Batteries; Genetic algorithms; Genetic mutations; Hybrid electric vehicles; Maintenance engineering; Optimization methods; Protection; Transportation;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
DOI :
10.1109/APPEEC.2009.4918574
