Original scientific paper
https://doi.org/10.7305/automatika.2015.04.642
A Simple Technique for Optimal Selection of Degree of Hybridization (DOH) in Parallel Passenger Hybrid Cars
Kazem Varesi
; Power Engineering Department, Faculty of Electrical and Computer Engineering, University of Tabriz, 29 Bahman Boulevard, IR-51368, Tabriz, Iran
Ahmad Radan
; Power Electronics Laboratory, Faculty of Electrical and Computer Engineering, K. N. Toosi University of Technology, Seyedkhandan Bridge, IR-07, Tehran, Iran
Seyed Hossein Hosseini
; Power Engineering Department, Faculty of Electrical and Computer Engineering, University of Tabriz, 29 Bahman Boulevard, IR-51368, Tabriz, Iran
Mehran Sabahi
orcid.org/0000-0002-4332-6460
; Power Engineering Department, Faculty of Electrical and Computer Engineering, University of Tabriz, 29 Bahman Boulevard, IR-51368, Tabriz, Iran
Abstract
In this paper, a simple but efficient Non-dominated Sorting Genetic Algorithm (NSGA) II based technique is proposed for optimizing the Degree of Hybridization (DOH) in parallel passenger hybrid cars. The authors' objective is to improve performance, maximize fuel economy and at the same time, minimize mass and emissions as much as possible, by optimal selection of DOH. The NSGA-II, which is a multi-objective optimization algorithm, is applied to optimize this multiple objective problem. The ADvanced VehIcle SimulatOR (ADVISOR) software is used as simulation tool. To validate high efficiency of proposed methodology, necessary simulations have been carried out on a small-size test car. The results indicates that the proposed methodology is very fast and efficient and can be well applied to any other types of Hybrid Electric Vehicles (HEVs).
Keywords
Degree of Hybridization (DOH); Electric motor; Emissions; Fuel economy; Performance
Hrčak ID:
139723
URI
Publication date:
8.6.2015.
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