Title :
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
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;
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
DOI :
10.1109/VPPC.2009.5289624
