Proton Exchange Membrane Fuel Cell System Model for Automotive
                    Vehicle Simulation and Control

Boettner, Daisie D.; Paganelli, Gino; Guezennec, Yann; Rizzoni, Giorgio; Moran, Michael

doi:10.1115/1.1447927

Cited by 117 publications

(50 citation statements)

References 15 publications

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“…5 Intel is a registered trademark of Intel Corporation, Santa Clara, CA. 6 Windows is a registered trademark of Microsoft Corporation, Seattle, WA. 7 The cputime command in Matlab was used to get an estimate of the computation time.…”

Section: Appendixmentioning

confidence: 99%

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Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach

Vahidi

Stefanopoulou

Peng

2006

IEEE Trans. Contr. Syst. Technol.

243

118

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The problem of oxygen starvation in fuel cells coupled with air compressor saturation limits is addressed in this paper. We propose using a hybrid configuration, in which a bank of ultracapacitors supplements the polymer electrolyte membrane fuel cell during fast current transients. Our objective is to avoid fuel cell oxygen starvation, prevent air compressor surge and choke, and simultaneously match an arbitrary level of current demand. We formulate the distribution of current demand between the fuel cell and the bank of ultracapacitors in a model predictive control framework which can handle multiple constraints of the hybrid system. Simulation results show that reactant deficit during sudden increase in stack current is reduced from 50% in stand-alone architecture to less than 1% in the hybrid configuration. In addition the explicit constraint handling capability of the current management scheme prevents compressor surge and choke and maintains the state-of-charge of the ultracapacitor within feasible bounds.

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Section: Appendixmentioning

confidence: 99%

“…Therefore extra measures need to be taken during step-down in demand to prevent compressor surge and during step-up to prevent choke. It is shown in [6] that control efforts targeting the compressor have a great potential for improving system performance.…”

Section: Introductionmentioning

confidence: 99%

Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach

Vahidi

Stefanopoulou

Peng

2006

IEEE Trans. Contr. Syst. Technol.

243

118

View full text Add to dashboard Cite

show abstract

“…In this study we expand upon state-of-the-art fuel cell vehicle modeling approaches [15][16][17][18][19][20][21] by coupling a system model with a detailed multiphysics single-cell model [22]. We introduce a multimethodology modeling and simulation approach for PEMFC performance and durability over realistic driving cycles and complete cell lifetime.…”

Section: Introductionmentioning

confidence: 99%

A multi-timescale modeling methodology for PEMFC performance and durability in a virtual fuel cell car

Mayur

Strahl

Husar

et al. 2015

International Journal of Hydrogen Energy

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Abstract.The durability of polymer electrolyte membrane fuel cells (PEMFC) is governed by a nonlinear coupling between system demand, component behavior, and physicochemical degradation mechanisms, occurring on timescales from the sub-second to the thousand-hour. We present a simulation methodology for assessing performance and durability of a PEMFC under automotive driving cycles. The simulation framework consists of (a) a fuel cell car model converting velocity to cell power demand, (b) a 2D multiphysics cell model, (c) a flexible degradation library template that can accommodate physically-based component-wise degradation mechanisms, and (d) a time-upscaling methodology for extrapolating degradation during a representative load cycle to multiple cycles. The computational framework describes three different time scales, (1) sub-second timescale of electrochemistry, (2) minute-timescale of driving cycles, and (3) thousand-hour-timescale of cell ageing. We demonstrate an exemplary PEMFC durability analysis due to membrane degradation under a highly transient loading of the New European Driving Cycle (NEDC).

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“…Chosen for their high power density, high efficiency, low noise and environment friendly [1,2], fuel cells is considered as a promising solution for embedded applications (city buses, submarines, tram, or locomotives) [3,4]. Meanwhile, as the development of DG (Distributed Generation), combined heat and power system dominated by fuel cell [5]; complementary power generation system [6] consisting of fuel cell, wind energy and solar energy, and hybrid power system [7] consisting of fuel cell and gas turbine are derived.…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode Control Using SVM for Power Quality Enhancement in StandAlone System Based on Four-Leg Voltage

Djerioui¹,

Ouali²,

Ladjal³

2018

IJIES

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This paper proposes a sliding mode control strategy for hybrid power system (HPS). The hybrid power system consists of four-leg voltage source Inverter Bridge. The HPS ensures full compensation for harmonic phase currents, neutral current, reactive power compensation and unbalanced nonlinear load currents. The Sliding Mode control strategy with a three dimensional space vector modulation deals with power quality enhancement in standalone power-supply systems with the key objective to compensate for AC side load and phase disturbances that result essentially from the presence of nonlinear and unbalanced loads. The four-leg voltage source inverters play an important role by providing both balanced and unbalanced loads with clean power and balanced output voltage. The simulation results show that the performance of the four-leg HPS with the proposed control algorithm.

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Proton Exchange Membrane Fuel Cell System Model for Automotive Vehicle Simulation and Control

Cited by 117 publications

References 15 publications

Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach

Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach

A multi-timescale modeling methodology for PEMFC performance and durability in a virtual fuel cell car

Sliding Mode Control Using SVM for Power Quality Enhancement in StandAlone System Based on Four-Leg Voltage

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