Principal component analysis based on drive cycles for hybrid electric vehicle

Author

Fu, Jianfu ; Gao, Wenzhong ; Song, Liwei

Author_Institution

Dept. of Electr. Eng., Tennessee Technol. Univ., Cookeville, TN, USA

fYear

2009

fDate

7-10 Sept. 2009

Firstpage

1613

Lastpage

1618

Abstract

This paper presents the method of principal component analysis (PCA) to study the characteristics of different drive cycles. The vehicular performance of hybrid electric bus is simulated and then the relationship between different hybridization factors and vehicular fuel economy and dynamic performance is analyzed. The simulation results of fuel economy over different cycles have been obtained in ADVISOR. Using principal component analysis, it can be concluded that three most important principal components can be used as inputs to design an intelligent vehicular control strategy.

Keywords

fuel economy; hybrid electric vehicles; intelligent control; principal component analysis; ADVISOR; drive cycles; hybrid electric vehicle; hybridization factors; principal component analysis; vehicular control strategy; vehicular fuel economy; Batteries; Electric motors; Fuel economy; Hybrid electric vehicles; Ice; Intelligent control; Internal combustion engines; Principal component analysis; Vehicle driving; Vehicle dynamics; Characteristics of driving cycles; Hybridization; Principal Component Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE

Conference_Location

Dearborn, MI

Print_ISBN

978-1-4244-2600-3

Electronic_ISBN

978-1-4244-2601-0

Type

conf

DOI

10.1109/VPPC.2009.5289624

Filename

5289624