Izvorni znanstveni članak
https://doi.org/10.7305/automatika.2016.07.693
An Efficient Methodology Proposed For Deciding About the Number of Battery Modules In Hybrid Electric Vehicles
Kazem Varesi
orcid.org/0000-0002-9802-1058
; Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Ahmad Radan
; Power Electronics Laboratory, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Seyed Khandan Bridge, 1431714191 Tehran,Iran
Abbas Ghayebloo
; Department of Engineering, Faculty of Electrical Engineering, University of Zanjan, Zanjan, Iran
Mohammad Reza Nikzad
; Energy and Automotive Technology Laboratory, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
Sažetak
Selection of higher values for Degree of Hybridization (DOH) increases the fuel economy and reduces the emissions in the Hybrid Electric Vehicles (HEVs). Previously presented methodologies for deciding about the number of battery modules (as an important factor influencing the vehicle performance), presents poor vehicle performance for higher DOHs. In this paper, a new technique has been proposed for deciding about the number of battery modules in Hybrid Electric Vehicles (HEVs), by which the high performance of the vehicle is guaranteed for higher DOHs. The proposed methodology is based on satisfying two key designing factors: Maximum charge and discharge capability and satisfaction of the PNGV criteria. The proposed methodology, allows us to choose higher DOHs in HEVs, which leads to lower emissions and higher levels of fuel economy. To evaluate efficiency of proposed methodology, it has been applied on model of a test parallel passenger hybrid car available in the ADvanced VehIcle SimulatOR (ADVISOR) software. The obtained results have been compared with that of formerly presented techniques. Simulation results confirm the effectiveness of proposed methodology.
Ključne riječi
Battery Modules; Charge and Discharge Capability; Hybrid Electric Vehicle; PNGV Criteria
Hrčak ID:
165500
URI
Datum izdavanja:
1.9.2016.
Posjeta: 1.284 *