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