DocumentCode :
2005475
Title :
Optimization of Series Hybrid Electric Vehicle Operational Parameters By Simulated Annealing Algorithm
Author :
Wang, Zhancheng ; Huang, Bufu ; Xu, Yangsheng ; Li, Weimin
Author_Institution :
Chinese Univ. of Hong Kong, Hong Kong
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
1536
Lastpage :
1541
Abstract :
Aimed at solving the more and more serious problems of energy and pollution, hybrid electric vehicle (HEV) is one of the best practical applications for transportation with high fuel economy and low emission. Since the extent of improvement included with HEV greatly depends on selection of the operational parameters, simulated annealing (SA) algorithm is introduced to optimize the operational parameters for fuel economy and emissions in this paper. Compared with one of the widest used strategies, dividing rectangles (DIRECT), the computation procedure of simulated annealing algorithm are discussed, and simulation study based on the model of series hybrid electric vehicle is given to illustrate the optimization feasibility of the simulated annealing algorithm.
Keywords :
electric vehicles; emission; fuel economy; simulated annealing; DIRECT; dividing rectangles; fuel economy; low emission; operational parameters; series hybrid electric vehicle; simulated annealing algorithm; Automation; Computational modeling; Engines; Fuel economy; Hybrid electric vehicles; Optimal control; Optimization methods; Pollution; Power control; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0817-7
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376618
Filename :
4376618
Link To Document :
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