A Novel Fuel Cell-Based Power System Modeling Approach

Rizzo, R.; Spina, Ivan; Boscaino, V.; Miceli, R.; Capponi, G.

doi:10.1109/ems.2013.63

Cited by 5 publications

(8 citation statements)

References 18 publications

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“…Dynamic section parameters are listed in Table II. Further details on model definition, measurements and model implementation can be found in [18]- [20]. Notice that a small dead-time is required between two consecutive transitions to prevent cross-conduction and to allow time for Zero Voltage Switching (ZVS) to be achieved.…”

Section: A Fuel Cell Modelmentioning

confidence: 99%

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Fuel Cell power system with LLC resonant DC/DC converter

Boscaino¹,

Miceli²,

Buccella

et al. 2014

2014 IEEE International Electric Vehicle Conference (IEVC)

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Fuel Cells (FC) are widely investigated for their potential use in electric transportation due of their capability to provide significant amounts of energy with low-noise and with almost zero-emission. FC-based power sources are non-linear system with low voltage and high current capabilities and with efficiency close to 50%. Several researches are in progress, aiming at increasing overall efficiency through optimised combination of components, mainly the FC and the DC/DC converter necessary for its interface with the vehicle DC bus or the recharging station. In this paper, a novel and efficient power system architecture suitable for fuel cell powered vehicles and for recharging stations is proposed. The proposed system includes a fuel cell stack and a LLC resonant DC/DC converter with step-up capability. The latter due its to soft switching operations ensures enhanced efficiency over conventional hard switching counterpart. The proposed system has been modeled in a mixed PSIM-MATLAB/Simulink environment; design criteria and procedures are discussed for further applications and simulation results are shown to validate the proposed solution.

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Section: A Fuel Cell Modelmentioning

confidence: 99%

“…Such a model is based on measurements which have been performed by the defined test-bench and by a specific data fitting procedure. On the basis of steady-state and dynamic measurements, an accurate model has been defined [18], [19]. The model has been implemented in PSIM environment and features atś1% which is shown in Fig.…”

Section: A Fuel Cell Modelmentioning

confidence: 99%

Fuel Cell power system with LLC resonant DC/DC converter

Boscaino¹,

Miceli²,

Buccella

et al. 2014

2014 IEEE International Electric Vehicle Conference (IEVC)

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“…Manufacturers' data do not usually include such parameters that are not readily measured in an electronic laboratory. To overcome the drawbacks of analytical approaches, tunable parameters and related identification procedures based on experimental data are introduced by analytical, semi-empirical approaches [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. The complexity and computational cost of analytical models is usually high, and the best-suited environment to simulate is MATLAB/ Simulink.…”

Section: Introductionmentioning

confidence: 99%

“…In previously published work, authors have demonstrated significant expertise in modelling fuel cells [4][5][6][7][8][9][10][11], and they have designed their models using a black-box approach based only on electrical measurements. The key features of their models were low complexity, high accuracy and great generalisation capability for different types of fuel cells and software environments.…”

Section: Introductionmentioning

confidence: 99%

Comparison of models of fuel cells based on experimental data for the design of power electronics systems

Boscaino

Capponi

Miceli

et al. 2015

IET Renewable Power Generation

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Fuel cells have a key role in the potential provision of combined generation of heat and power. Sophisticated power management algorithms have been developed to reduce hydrogen consumption. An accurate analysis of the interaction between the fuel cell system and the front-end power converter is fundamental to achieving high performances. Accurate modelling of the entire system is required, especially the primary energy source, including the auxiliary components. Fuel cell modelling techniques have been presented extensively in the literature. Models are usually oriented to give technical insight concerning the fuel cell systems. The importance of fuel cell modelling in the design and control of front-end power converters seldom has been addressed, and this has led to highly complex model structures and the need to assume the values of several parameters that cannot be measured easily in a power electronics laboratory. Such models are not well suited for designing renewable energy systems. Hence, semiempirical models oriented to the design of power systems are presented and compared. Both white-box and black-box modelling approaches are presented, and both models were tested on a 5-kW commercial fuel cell system provided by Nuvera. Both modelling approaches were validated comparing the simulation and experimental results.

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“…market and the growing concerns about environmental gas emission have been key factors for the diffusion of local distributed energy sources (DES) [1]. Typical DES are photovoltaic arrays [2,4], fuel cells [5,6], variable speed wind turbines [7], and high efficiency cogenerator systems [8,9].…”

Section: Introductionmentioning

confidence: 99%

A single input dual buck-boost output reconfigurable converter for distributed generation

Rizzo

Spina

Tricoli

2015

2015 International Conference on Clean Electrical Power (ICCEP)

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The diffusion of distributed electric generation sources is a growing phenomenon, encouraged by the changes in the electric energy market and the concerns about gas emission. Microgrids are composed by different types of generators, several loads and power converters necessary to interface all the microgrid components and the microgrid itself with the main AC grid. This paper presents a new flexible power converter capable of changing its topology by means of static switches so that it can provide different conversion functions using the same hardware. This proposal aims to reduce the number of components, enhancing compactness and simplicity, and resulting in lower equipment costs. The proposed converter is conceived for domestic microgrids, is connected to the AC grid and a renewable energy source (RES) and is configurable as a single-input dual-output (SIDO) converter, providing two different DC voltage levels. After showing all the possible configurations of this converter, the analysis focuses on SIDO, deriving its mathematical model and discussing a procedure to design its elements. The controllability of the SIDO is tested via numerical simulations showing good performance even during fast transient conditions.

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A Novel Fuel Cell-Based Power System Modeling Approach

Cited by 5 publications

References 18 publications

Fuel Cell power system with LLC resonant DC/DC converter

Fuel Cell power system with LLC resonant DC/DC converter

Comparison of models of fuel cells based on experimental data for the design of power electronics systems

A single input dual buck-boost output reconfigurable converter for distributed generation

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