A dynamic simulation tool for hydrogen fuel cell vehicles

Moore, Robert M.; Hauer, Karl-Heinz; Friedman, David J.; Cunningham, Joshua; Badrinarayanan, P.; Ramaswamy, Sitaram; Eggert, Anthony

doi:10.1016/j.jpowsour.2004.05.063

Cited by 32 publications

(22 citation statements)

References 6 publications

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“…Fig.11 shows the fuel cell system performance in a DHFC vehicle on the FUDS cycle. The system performance with the original quasi-steady fuel cell model [22] is also shown in Fig.11. It can be seen that the maximum power required during the The fuel economy of fuel cell vehicles on various drive cycles was calculated using the new fuel cell system model.…”

Section: Simulation Results For Fuel Cell Vehiclesmentioning

confidence: 99%

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Optimization of fuel cell system operating conditions for fuel cell vehicles

Zhao

Burke

2009

Journal of Power Sources

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Proton Exchange Membrane fuel cell (PEMFC) technology for use in fuel cell vehicles and other applications has been intensively developed in recent decades. Besides the fuel cell stack, air and fuel control and thermal and water management are major challenges in the development of the fuel cell for vehicle applications. The air supply system can have a major impact on overall system efficiency. In this paper a fuel cell system model for optimizing system operating conditions was developed which includes the transient dynamics of the air system with varying back pressure. Compared to the conventional fixed back pressure operation, the optimal operation discussed in this paper can achieve higher system efficiency over the full load range. Finally, the model is applied as part of a dynamic forward-looking vehicle model of a load-following direct hydrogen fuel cell vehicle to explore the energy economy optimization potential of fuel cell vehicles.

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Section: Simulation Results For Fuel Cell Vehiclesmentioning

confidence: 99%

“…Air supply control strategies and analyses based on dynamic quasi-steady fuel cell operation are described in [15,[18][19][20][21][22][23]. These studies established a good foundation for understanding fuel cell systems and fuel cell vehicles.…”

Section: Page 3 Of 37mentioning

confidence: 99%

Optimization of fuel cell system operating conditions for fuel cell vehicles

Zhao

Burke

2009

Journal of Power Sources

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“…CFD-based models indeed provide insight into detailed phenomena along with high level of predictability and high accuracy; however, they are also characterized by very long computational times inherent to their comprehensive modelling framework. Long computational times are a major disadvantage whenever a large number of simulation results are required to be obtained in reasonable amount of time which is typical for tasks such as: (a) rapid testing of different design options [10,11] including the ultra large scale [9]; (b) modelling of larger systems powered by fuel cells, e.g., the entire fuel cell powered vehicle [12,13]; (c) modelling transient operation of the fuel cell powered systems [14,15] and (d) development of control functionalities [15,16]. Among these, fast computation is of most crucial importance in models for which real time capability is mandatory such as in [12,14,16] or any hardware-in-the-loop model application.…”

Section: Introductionmentioning

confidence: 99%

An Innovative Hybrid 3D Analytic-Numerical Approach for System Level Modelling of PEM Fuel Cells

Tavčar

Katrašnik

2013

Energies

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Abstract:The PEM fuel cell model presented in this paper is based on modelling species transport and coupling electrochemical reactions to species transport in an innovative way. Species transport is modelled by obtaining a 2D analytic solution for species concentration distribution in the plane perpendicular to the gas-flow and coupling consecutive 2D solutions by means of a 1D numerical gas-flow model. The 2D solution is devised on a jigsaw puzzle of multiple coupled domains which enables the modelling of parallel straight channel fuel cells with realistic geometries. Electrochemical and other nonlinear phenomena are coupled to the species transport by a routine that uses derivative approximation with prediction-iteration. A hybrid 3D analytic-numerical fuel cell model of a laboratory test fuel cell is presented and evaluated against a professional 3D computational fluid dynamic (CFD) simulation tool. This comparative evaluation shows very good agreement between results of the presented model and those of the CFD simulation. Furthermore, high accuracy results are achieved at computational times short enough to be suitable for system level simulations. This computational efficiency is owed to the semi-analytic nature of its species transport modelling and to the efficient computational coupling of electrochemical kinetics and species transport.

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“…This is the second paper of a three paper series focused on the simulation and analysis of the direct-hydrogen fuel cell vehicle (DHFCV). The initial paper of this series presented a dynamic simulation tool for a load-following DHFCV [1]. This paper describes the simulation tool for battery-hybrid DHFCV designs, and the final paper of the series (in preparation) analyzes and compares the performance and efficiency of the load-following and hybrid DHFCV alternatives, using the simulation models described in the first two papers of the series.…”

Section: Introductionmentioning

confidence: 99%

“…As with the initial paper in this series [1], the simulation tool that is described uses the architecture of a general dynamic fuel cell vehicle simulation tool (FCVSim) that has been developed specifically for the analysis and evaluation of Fuel Cell Vehicle (FCV) design options. FCVSim has been previously introduced and described in the literature [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Simulation Tool for the Battery‐Hybrid Hydrogen Fuel Cell Vehicle

et al. 2006

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This paper describes a dynamic fuel cell vehicle simulation tool for the battery‐hybrid direct‐hydrogen fuel cell vehicle. The emphasis is on simulation of the hybridized hydrogen fuel cell system within an existing fuel cell vehicle simulation tool. The discussion is focused on the simulation of the sub‐systems that are unique to the hybridized direct‐hydrogen vehicle, and builds on a previous paper that described a simulation tool for the load‐following direct‐hydrogen vehicle. The configuration of the general fuel cell vehicle simulation tool has been previously presented in detail, and is only briefly reviewed in the introduction to this paper. Strictly speaking, the results provided in this paper only serve as an example that is valid for the specific fuel cell vehicle design configuration analyzed. Different design choices may lead to different results, depending strongly on the parameters used and choices taken during the detailed design process required for this highly non‐linear and n‐dimensional system. The primary purpose of this paper is not to provide a dynamic simulation tool that is the “final word” for the “optimal” hybrid fuel cell vehicle design. The primary purpose is to provide an explanation of a simulation method for analyzing the energetic aspects of a hybrid fuel cell vehicle.

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A dynamic simulation tool for hydrogen fuel cell vehicles

Cited by 32 publications

References 6 publications

Optimization of fuel cell system operating conditions for fuel cell vehicles

Optimization of fuel cell system operating conditions for fuel cell vehicles

An Innovative Hybrid 3D Analytic-Numerical Approach for System Level Modelling of PEM Fuel Cells

A Dynamic Simulation Tool for the Battery‐Hybrid Hydrogen Fuel Cell Vehicle

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