Evaluation of SOFC Hybrid Systems for Automotive Propulsion Applications

Rajashekara, Kaushik; MacBain, John A.; Grieve, M. James

doi:10.1109/ias.2006.256741

Cited by 6 publications

(6 citation statements)

References 1 publication

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“…10(a1) and (a2). From (10) it is apparent that the higher in Fig. 10(a1) is primarily due to the lower estimate compared to the later scenario [see Fig.…”

Section: Resultsmentioning

confidence: 96%

“…Next we seek an ultimate bound for . From (34), we have (35) From (22) and (20), and using the properties of class and class functions, we have (36) where, from (4) and (10), and considering to be the operating ranges, we have (37) Combining (35) which represents a finite interval of time for finite initial conditions. By virtue of the design of parameter adaptation laws in (15)- (18), the parameter estimates are bounded, i.e., , and .…”

Section: Stability Analysismentioning

confidence: 99%

“…We design the fuel cell to serve as the primary energy source with the ultra-capacitor simply supplying transient demand. Hence the instantaneous fuel cell current demand is governed by (10) in the presence of uncertainties (10) where is the ultracapacitor's SOC defined as in (10), is target SOC, is the ultra-capacitor voltage, is the maximum ultra-capacitor voltage. In (10), is a constant to be chosen appropriately.…”

Section: B Adaptive Controllermentioning

confidence: 99%

“…However, there is an increasing interest of using SOFCs in mobile applications, where responsiveness is of paramount importance. In this regard, there is an intent is to outweigh the deficiencies of SOFC systems by their advantages through hybridization [10], [11], and thereby be competitive to PEM fuel cells which have traditionally been considered for hybrid vehicles.…”

Section: Introductionmentioning

confidence: 97%

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Adaptive Control of a Solid Oxide Fuel Cell Ultra-Capacitor Hybrid System

Das

Snyder

2013

IEEE Trans. Contr. Syst. Technol.

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Solid oxide fuel cells (SOFCs) offer a number of advantages beyond those of most other fuel cells. However, like other fuel cells, rapid load following is difficult, and can lead to fuel starvation and consequently fuel cell damage. Mitigating fuel starvation and improving load following capabilities are conflicting control objectives. However, the issue can be addressed by the hybridization of the system with an energy storage device. In this paper, a steady-state property of the SOFC, combined with a current regulation strategy, is used to manage transient fuel utilization and thereby address fuel starvation. Meanwhile, an overall system strategy is employed to manage energy sharing in the hybrid system for load following as well as for maintaining the state-of-charge of the energy storage device. This work presents an adaptive control algorithm that uses online parameter estimation to update the controller. The control design is validated on a hardware-in-the-loop setup and experimental results are provided.Index Terms-Adaptive control, fuel utilization, hybrid energy, robust control, solid oxide fuel cell (SOFC), transient, ultra-capacitor.

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“…10(a1) and (a2). From (10) it is apparent that the higher in Fig. 10(a1) is primarily due to the lower estimate compared to the later scenario [see Fig.…”

Section: Resultsmentioning

confidence: 96%

Section: Stability Analysismentioning

confidence: 99%

Section: B Adaptive Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

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Adaptive Control of a Solid Oxide Fuel Cell Ultra-Capacitor Hybrid System

Das

Snyder

2013

IEEE Trans. Contr. Syst. Technol.

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“…Where α is the coefficient of charge transfer, usually given to 0.5 in the literature [13]. I 0 is the exchange current at the interface electrolyte / electrode.…”

Section: A) Activation Over Voltagementioning

confidence: 99%

Energetic Macroscopic Representation of a Solid Oxide Fuel Cell for Stirling Engine combined cycle in high-efficient powertrains

Hissel

Lanzetta

Péra

et al. 2010

2010 IEEE Vehicle Power and Propulsion Conference

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An Energetic Macroscopic Representation (EMR) is developed for a Solid Oxide Fuel Cell (SOFC) in this paper inorder to obtain a model well adapted for combined heat and power cycle. Indeed, this study is a first step before coupling this SOFC to a Stirling Engine (SE). Moreover, by using the EMR approach, the possibilities to develop subsequently so-called Maximum Command Structure (MCS) are simplified. Following a first Polymer Electrolyte Membrane Fuel Cell (PEMFC) model established with the EMR formalism, the goal of this study is to adapt this model for SOFC technology and to estimate the heat potential produces by the fuel cell available for the SE hot source. The coupling between the different physical domains encountered in the fuel cell system (fluidic, electrochemical, electrical, and thermal) is represented in a unified manner using the EMR. The final goal of this study is to increase the global electrical efficiency of a coupled SOFC/SE system for automotive applications. Keywords-Solid Oxyde Fuel Cell; Stirling Heat Engine; Combined Heat and Power; Energetic Macroscopic RepresentationNomenclature-C p Mass heat capacity, J.kg -1 .K -1 ΔG Gibbs free enthalpy, J.mol -1 ΔH Reaction enthalpy, J.mol -1 ΔS Reaction entropy, J.mol -1 .K -1 ΔSq Entropy flux, W.K -1 E Electrical potential, V

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Energy and Exergy Analysis of Solid Oxide Fuel Cell Integrated with Gas Turbine Cycle—“A Hybrid Cycle”

Choudhary

Sahu

2018

Renewable Energy and Its Innovative Technologies

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Evaluation of SOFC Hybrid Systems for Automotive Propulsion Applications

Cited by 6 publications

References 1 publication

Adaptive Control of a Solid Oxide Fuel Cell Ultra-Capacitor Hybrid System

Adaptive Control of a Solid Oxide Fuel Cell Ultra-Capacitor Hybrid System

Energetic Macroscopic Representation of a Solid Oxide Fuel Cell for Stirling Engine combined cycle in high-efficient powertrains

Energy and Exergy Analysis of Solid Oxide Fuel Cell Integrated with Gas Turbine Cycle—“A Hybrid Cycle”

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