DocumentCode :
2839176
Title :
A novel PSO based technique for optimizing the DOH in hybrid electric vehicles to improve both the fuel economy and vehicle performance and reduce the emissions
Author :
Varesi, Kazem ; Radan, Ahmad
Author_Institution :
Fac. of Electr. & Comput. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
fYear :
2011
fDate :
16-17 Feb. 2011
Firstpage :
342
Lastpage :
349
Abstract :
In this paper a novel technique is proposed with which the optimal Degree of Hybridization (DOH) can be found with very little computational effort. This technique combines PSO algorithm and HEV simulation tool and its objective is to optimize both the fuel economy and vehicle performance and minimize the emissions, including HC, CO for a hybrid electric vehicle. Advanced VehIcle SimulatOR (ADVISOR) software is used as the vehicle simulation tool. Needed simulations have been carried out on the Toyota Prius which its model is available in the ADVISOR. The results obtained from simulations, prove the validity and efficiency of the proposed technique.
Keywords :
fuel economy; hybrid electric vehicles; optimisation; HEV simulation; PSO based technique; Toyota Prius; degree of hybridization; fuel economy; hybrid electric vehicle; Acceleration; Batteries; Biological system modeling; Fuel economy; Hybrid electric vehicles; Ice; Degree of Hybridization (DOH); Hybrid Electric Vehicle (HEV); Particle Swarm Optimization (PSO); emissions of CO and HC; fuel economy; vehicle performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, Drive Systems and Technologies Conference (PEDSTC), 2011 2nd
Conference_Location :
Tehran
Print_ISBN :
978-1-61284-422-0
Type :
conf
DOI :
10.1109/PEDSTC.2011.5742444
Filename :
5742444
Link To Document :
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