An evaluation study of current and future Fuel Cell Hybrid Electric Vehicles powertrains

Author

Hegazy, O. ; Van Mierlo, J. ; Lataire, P. ; Coosemans, T. ; Smenkens, Jelle ; Monem, Mohamed Abdel ; Omar, Normaliza ; Van den Bossche, P.

Author_Institution

Vrije Univ. Brussel, Brussels, Belgium

fYear

2013

fDate

17-20 Nov. 2013

Firstpage

1

Lastpage

8

Abstract

The powertrain control strategy and component sizing can significantly influence the vehicle performance, cost and fuel economy. This paper presents an evaluation study of the current and future Fuel Cell Hybrid Vehicles (FCHEVs) powertrains from the point of view of the fuel economy, volume, mass and cost. In this research, different FCHEV powertrains (such as Fuel Cell/Supercapacitor (FC/SC), Fuel Cell/Battery (FC/B), and FC/SC/B) and different control strategies are designed and simulated by using Matlab/Simulink. In this paper, two standard driving cycles (NEDC and FTP75) are used to evaluate the fuel consumption. Within this study, two control strategies based on the knowledge of the fuel cell efficiency map are implemented to minimize the hydrogen consumption of the FCHEV powertrains. These control strategies are control strategy based on Efficiency Map (CSEM) and control strategy based on Particle Swarm Optimization (CSPSO). Furthermore, a comparative study of different FCHEV powertrains is provided for adequately selecting of the proper FCHEV powertrain, which could be used in industrial applications.

Keywords

costing; fuel cell vehicles; fuel economy; hybrid electric vehicles; particle swarm optimisation; power control; power system economics; power transmission (mechanical); CSEM; CSPSO; FC-B; FC-SC; FCHEV powertrains; Matlab-simulink; component sizing; control strategy based on efficiency map; control strategy based on particle swarm optimization; evaluation study; fuel cell hybrid electric vehicles powertrains; fuel cell-battery; fuel cell-supercapacitor; fuel consumption; fuel economy; hydrogen consumption minimization; industrial applications; powertrain control strategy; standard driving cycles; vehicle cost; vehicle performance; Batteries; Fuel cells; Hybrid electric vehicles; Hydrogen; Mathematical model; Mechanical power transmission; Control Strategy; Efficiency Map Control; Fuel Economy; Fuel cell Hybrid Electric Vehicle (FCHEV); Particle Swarm Optimization (PSO); Powertrain Modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Vehicle Symposium and Exhibition (EVS27), 2013 World

Conference_Location

Barcelona

Type

conf

DOI

10.1109/EVS.2013.6915042

Filename

6915042