scholarly journals Numerical Stiffness Analysis for Solid Oxide Fuel Cell Real-Time Simulation Applications

2018 ◽  
Vol 33 (4) ◽  
pp. 1917-1928 ◽  
Author(s):  
Rui Ma ◽  
Zhongliang Li ◽  
Elena Breaz ◽  
Briois Pascal ◽  
Fei Gao
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Stiffness Analysis ◽  
Real Time Simulation ◽  
Time Simulation

Numerical stiffness study of multi-physical solid oxide fuel cell model for real-time simulation applications

2018 ◽  
Vol 226 ◽  
pp. 570-581 ◽  
Author(s):  
Rui Ma ◽  
Chen Liu ◽  
Elena Breaz ◽  
Pascal Briois ◽  
Fei Gao
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Cell Model ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Real Time Simulation ◽  
Time Simulation

scholarly journals Experimental real-time optimization of a solid oxide fuel cell stack via constraint adaptation

Energy ◽  
2012 ◽  
Vol 39 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Gene A. Bunin ◽  
Zacharie Wuillemin ◽  
Grégory François ◽  
Arata Nakajo ◽  
Leonidas Tsikonis ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack ◽  
Time Optimization ◽  
Real Time Optimization

Robust Real-Time Optimization of a Solid Oxide Fuel Cell Stack

2011 ◽  
Vol 8 (5) ◽  
Author(s):  
A. Marchetti ◽  
A. Gopalakrishnan ◽  
B. Chachuat ◽  
D. Bonvin ◽  
L. Tsikonis ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Optimization Problem ◽  
Solid Oxide ◽  
Step Response ◽  
Oxide Fuel ◽  
Power Demand ◽  
Time Optimization ◽  
Real Time Optimization

On-line control and optimization can improve the efficiency of fuel cell systems, whilst simultaneously ensuring that the operation remains within a safe region. Also, fuel cells are subject to frequent variations in their power demand. This paper investigates the real-time optimization (RTO) of a solid oxide fuel cell (SOFC) stack. An optimization problem maximizing the efficiency subject to operating constraints is defined. Due to inevitable model inaccuracies, the open-loop implementation of optimal inputs evaluated off-line may be suboptimal, or worse, infeasible. Infeasibility can be avoided by controlling the constrained quantities. However, the constraints that determine optimal operation might switch with varying power demand, thus requiring a change in the regulator structure. In this paper, a control strategy that can handle plant-model mismatch and changing constraints in the face of varying power demand is presented and illustrated. The strategy consists in the integration of RTO and model predictive control (MPC). A lumped model of the SOFC is utilized at the RTO level. The measurements are not used to re-estimate the parameters of the SOFC model at different operating points, but to simply adapt the constraints in the optimization problem. The optimal solution generated by RTO is implemented using MPC that uses a step-response model in this case. Simulation results show that near-optimality can be obtained, and constraints are respected despite model inaccuracies and large variations in the power demand.

Generic Real-Time Modeling of Solid Oxide Fuel Cell Hybrid Systems

2009 ◽  
Vol 6 (2) ◽  
Author(s):  
Francesco Ghigliazza ◽  
Alberto Traverso ◽  
Aristide F. Massardo ◽  
John Wingate ◽  
Mario Ferrari
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Cell Hybrid ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Time Modeling ◽  
Direct Use ◽  
Application Specific ◽  
Fuel Cell Hybrid

Real-time (RT) modeling is a recognized approach to monitor advanced systems and to improve control capabilities. Applications of RT models are commonly used in the automotive and aerospace fields. Starting from existing components and models developed in TRANSEO[REF], a new approach, called the multipurpose RT approach, is developed for the solid oxide fuel cell hybrid system application. Original C-based models have been reprogrammed into embedded MATLAB functions for direct use within MATLAB-SIMULINK. Also, models in TRANSEO have been simplified to improve execution time. Using MATLAB’s Real-Time Workshop application, the system model is able to be translated into an autogenerated C-code, and run as an application specific RT executable.

Development of a Quasi 2-D Modeling of Tubular Solid-Oxide Fuel Cell for Real-Time Control

2014 ◽  
Vol 29 (1) ◽  
pp. 9-19 ◽  
Author(s):  
Fei Gao ◽  
Marcelo Godoy Simoes ◽  
Benjamin Blunier ◽  
Abdellatif Miraoui
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Real Time Control ◽  
Time Control

scholarly journals Two-Layered Real-Time Optimization of a Solid Oxide Fuel Cell Stack

2010 ◽  
Vol 43 (5) ◽  
pp. 847-852 ◽  
Author(s):  
Gene A. Bunin ◽  
Grégory François ◽  
Dominique Bonvin
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack ◽  
Time Optimization ◽  
Real Time Optimization
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