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.
Highlights
In recent decades, Fuel Cell (FC) technologies are expected to become a viable solution for vehicular applications because they use alternative fuel converters and are environment friendly
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
These control strategies are control strategy based on Efficiency Map (CSEM) and control strategy based on Particle Swarm Optimization (CSPSO)
Summary
Fuel Cell (FC) technologies are expected to become a viable solution for vehicular applications because they use alternative fuel converters and are environment friendly. The high cost and slow dynamics of the FC systems are the major challenges for the commercialization of fuel cell electric vehicles (FCEVs). To overcome these challenges, the FC system should be hybridized with single or multiple energy storage systems (ESS) (such as battery and supercapacitor) to meet the total power demand of a hybrid electric vehicle (HEV) and to improve the efficiency [5], [7], [8], [9]. In [6], [7], the power management and the design optimization of FC / battery HEV were obtained by using dynamic programming (DP) This methodology did not consider the variation of the battery parameters in function of the state of charge (SoC)
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