Title :
Application of Particle Swarm Optimization for component sizes in parallel Hybrid Electric Vehicles
Author :
Wu, Xiaolan ; Cao, Binggang ; Wen, Jianping ; Wang, Zhanbin
Author_Institution :
Res. Inst. of Electr. Vehicle & Syst. Control, Xian Jiao Tong Univ., Xian
Abstract :
This paper describes an approach for the optimization of parallel hybrid electric vehicle (HEV) component sizing using particle swarm optimization (PSO) algorithm. In this study, the fitness function is defined to minimize the vehicle engine fuel consumption (FC) and emissions. The driving performance requirements are then considered as constraints. Finally, the optimization process is performed over the test procure TEST CYCLE HYWT, in which a vehicle model named ADVISOR is used as the analysis tool. The results from the computer simulation show the effectiveness of the approach and reduction in FC, emissions while ensuring that the vehicle performance is not sacrificed.
Keywords :
automotive components; hybrid electric vehicles; internal combustion engines; particle swarm optimisation; component sizes; computer simulation; fitness function; parallel hybrid electric vehicles; particle swarm optimization; vehicle engine fuel consumption; vehicle performance; Analytical models; Computational modeling; Evolutionary computation; Genetics; Hybrid electric vehicles; Intelligent vehicles; Libraries; Particle swarm optimization; Search methods; Stochastic processes;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4631183
