Development of Dynamic Simulation Model of Fuel Cell for Air Independent Propulsion System

2010 ◽  
Author(s):  
Sangseok Yu ◽  
Sang Min Lee ◽  
Young Duk Lee ◽  
Kook Young Ahn ◽  
Hyunjin Ji
Keyword(s):  
Fuel Cell ◽  
Simulation Model ◽  
Dynamic Simulation ◽  
High Performance ◽  
Cell System ◽  
Propulsion System ◽  
Liquid Oxygen ◽  
Fuel Cell System ◽  
Dynamic Simulation Model ◽  
Stack Model

Conventional air independent system is very difficult to meet the required efficiency target with high performance when it is used for submarine. The fuel cell system with liquid oxygen is applied to the air independent propulsion of submarine which can promise wider tactical range than conventional system. In this study, a dynamic simulation model is developed to evaluate the performance of the fuel cell air independent propulsion system (FCAIP). The simulation model is a cascading fuel cell stack model which can precisely predict the performance of very unique stack design architecture suggested by Siemens AG. The dynamic stack model is used for the evaluation of thermal management of fuel cell system under load follow-up.

Optimization of a PEM Fuel Cell System for Low-Speed Hybrid Electric Vehicles

2006 ◽  
Author(s):  
Jeffrey D. Wishart ◽  
Zuomin Dong ◽  
Marc M. Secanell
Keyword(s):  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Load Cycle ◽  
Cell System ◽  
Operating Conditions ◽  
System Model ◽  
Fuel Cell System ◽  
Vehicle Model ◽  
Low Speed ◽  
Stack Model

Design optimization is performed by presenting a systematic method to obtain the optimal operating conditions of a Proton Exchange Membrane (PEM) fuel cell system targeted towards a vehicular application. The fuel cell stack model is a modified version of the semi-empirical model introduced by researchers at the Royal Military College of Canada and one that is widely used by industry. Empirical data obtained from tests of PEM fuel cell stacks are used to determine the empirical parameters of the fuel cell performance model. Based on this stack model, a fuel cell system model is built in MATLAB. Included in the system model are heat transfer and gas flow considerations and the associated Balance of Plant (BOP) components. The modified ADVISOR vehicle simulation tool is used to integrate the New York City Cycle (NYCC) drive cycle and vehicle model to determine the power requirements and hence the load cycle of the fuel cell system for a low-speed fuel cell hybrid electric vehicle (LSFCHEV). The optimization of the powerplant of this vehicle type is unique. The vehicle model has been developed in the work to describe the characteristics and performance of an electric scooter, a simple low-speed vehicle (LSV). The net output power and system exergetic efficiency of the system are maximized for various system operating conditions using the weighted objective function based on the load cycle requirement. The method is based on the coupling of the fuel cell system model with three optimization algorithms (a) sequential quadratic programming (SQP); (b) simulated annealing (SA); and (c) genetic algorithm (GA). The results of the optimization provide useful information that will be used in future study on control algorithms for LSFCHEVs. This study facilitates research on more complex fuel cell system modeling and optimization, and provides a basis for experimentation to verify the fuel cell system model.

scholarly journals High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1158
Author(s):  
Mohamed Derbeli ◽  
Asma Charaabi ◽  
Oscar Barambones ◽  
Cristian Napole
Keyword(s):  
Fuel Cell ◽  
Model Predictive Control ◽  
Predictive Control ◽  
High Performance ◽  
Proton Exchange Membrane ◽  
Cell System ◽  
Proton Exchange ◽  
Fuel Cell System ◽  
Performance Tracking ◽  
Exchange Membrane

Proton exchange membrane (PEM) fuel cell has recently attracted broad attention from many researchers due to its cleanliness, high efficiency and soundless operation. The obtention of high-performance output characteristics is required to overcome the market restrictions of the PEMFC technologies. Therefore, the main aim of this work is to maintain the system operating point at an adequate and efficient power stage with high-performance tracking. To this end, a model predictive control (MPC) based on a global minimum cost function for a two-step horizon was designed and implemented in a boost converter integrated with a fuel cell system. An experimental comparative study has been investigated between the MPC and a PI controller to reveal the merits of the proposed technique. Comparative results have indicated that a reduction of 15.65% and 86.9%, respectively, in the overshoot and response time could be achieved using the suggested control structure.

scholarly journals Dynamic Modeling of a Solid Oxide Fuel Cell System in Modelica

2010 ◽  
Author(s):  
Daniel Andersson ◽  
Erik A˚berg ◽  
Jinliang Yuan ◽  
Bengt Sunde´n ◽  
Jonas Eborn
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Steam Reforming ◽  
Cell System ◽  
Solid Oxide ◽  
Water Gas Shift ◽  
Oxide Fuel ◽  
Fuel Cell System ◽  
Water Gas ◽  
Stack Model

In this study a dynamic model of a solid oxide fuel cell (SOFC) system has been developed. The work has been conducted in a cooperation between the Department of Energy Sciences, Lund University, and Modelon AB using the Modelica language and the Dymola modeling and simulation tool. Modelica is an equation based, object oriented modeling language, which promotes flexibility and reuse of code. The objective of the study is to investigate the suitability of the Modelica language for dynamic fuel cell system modeling. A cell electrolyte model including ohmic, activation and concentration irreversibilities is implemented and verified against simulations and experimental data presented in the open literature. A 1D solid oxide fuel cell model is created by integrating the electrolyte model and a 1D fuel flow model, which includes dynamic internal steam reforming of methane and water-gas shift reactions. Several cells are then placed with parallel flow paths and connected thermally and electrically in series. By introducing a manifold pressure drop, a stack model is created. The stack model is applied in a complete system including an autothermal reformer, a catalytic after-burner, a steam generator and heat exchangers. Four reactions are modeled in the autothermal reformer; two types of methane steam reforming, the water-gas shift reaction and total combustion of methane. The simulation results have been compared with those in the literature and it can be concluded that the models are accurate and that Dymola and Modelica are tools well suited for simulations of the transient fuel cell system behaviour.

Optimization of PEM Fuel Cell System Using Dynamic Model

2010 ◽  
Vol 26-28 ◽  
pp. 1019-1026
Author(s):  
Dong Ji Xuan ◽  
Zhen Zhe Li ◽  
Tai Hong Cheng ◽  
Yun De Shen
Keyword(s):  
Fuel Cell ◽  
Dynamic Model ◽  
Output Power ◽  
Power Efficiency ◽  
Cell System ◽  
Optimal Operation ◽  
Maximum Output ◽  
Fuel Cell System ◽  
Operation Condition ◽  
Stack Model

The output power efficiency of the fuel cell system depends on the anode pressure, cathode pressure, temperature, demanded current, air and hydrogen humidity. Thus, it is necessary to determine the optimal operation condition for maximum power efficiency. In this paper, we developed a dynamic model of fuel cell system which contains mass flow model, membrane hydration and electro-chemistry model. Experiments have been performed to evaluate the dynamical Polymer Electrolyte Membrane Fuel Cell (PEMFC) stack model. In order to determine the maximum output power and minimum use of hydrogen in a certain condition, response surface methodology optimization based on the proposed PEMFC stack model is presented. The results provide an effective method to optimize the operation condition under varied situations.

scholarly journals Fuel cell system for SUAV using chemical hydride - II. Lightweight fuel cell propulsion system

2013 ◽  
Vol 41 (3) ◽  
pp. 233-239 ◽  
Author(s):  
Ji-Seok Hong ◽  
Jin-Gu Park ◽  
Myeong-Hun Sung ◽  
Chang-Soo Jeon ◽  
Hong-Gye Sung ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Cell System ◽  
Propulsion System ◽  
Fuel Cell System
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