System model development for a methanol reformed 5 kW high temperature PEM fuel cell system

Abstract This paper describes a Proton Exchange Membrane (PEM) fuel cell system model for automotive applications that includes an air compressor, cooling system, and other auxiliaries. The fuel cell system model has been integrated into a vehicle performance simulator that determines fuel economy and allows consideration of control strategies. Significant fuel cell system efficiency improvements may be possible through control of the air compressor and other auxiliaries. Fuel cell system efficiency results are presented for two limiting air compressor cases: ideal control and no control. Extension of the present analysis to hybrid configurations consisting of a fuel cell system and battery is currently under study.

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An Analysis of Water Management for a PEM Fuel Cell System in Automotive Drive Cycles

1st International Fuel Cell Science, Engineering and Technology Conference ◽

10.1115/fuelcell2003-1737 ◽

2003 ◽

Author(s):

Kristina Haraldsson ◽

Tony Markel ◽

Keith Wipke

Keyword(s):

Water Management ◽

Fuel Cell ◽

Water Balance ◽

Power Output ◽

Pem Fuel Cell ◽

Cell System ◽

System Model ◽

Fuel Cell System ◽

Vehicle System ◽

Aggressive Drive

Low-temperature operation of a Proton Exchange Membrane (PEM) fuel cell system requires humidification of the membrane. The amount of water produced electrochemically within the fuel cell system is directly related to the system power output. In a vehicular application where the power output may vary substantially over time, it is critical that water management be addressed in the fuel cell and vehicle system design. This paper introduces the integration of a detailed fuel cell system model within a hybrid electric vehicle system model. The newly integrated models provide the capability to better understand the impacts of a variety of fuel cell and vehicle design parameters on overall system performance. Ultimately, coupling these models leads to system optimization and increased vehicle efficiency. This paper presents the initial results of a parametric study to quantify the impacts of condenser size and cathode inlet relative humidity on system water balance under realistic drive cycles in a fuel cell hybrid electric sport utility vehicle. The vehicle simulations included operation under both hot and ambient start conditions. The study results demonstrate that ambient start or aggressive drive cycles require larger condensers or water reservoirs to maintain a neutral water balance than either hot start or less aggressive drive cycles.

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Fuzzy Control of Reactant Supply System in PEM Fuel Cell

Solid State Phenomena ◽

10.4028/www.scientific.net/ssp.180.11 ◽

2011 ◽

Vol 180 ◽

pp. 11-19

Author(s):

Stanisław Hożyń ◽

Bogdan Żak

Keyword(s):

Control System ◽

Fuel Cell ◽

Control Systems ◽

Pem Fuel Cell ◽

Cell System ◽

Supply System ◽

System Model ◽

Comparison Analysis ◽

Fuel Cell System ◽

Main Emphasis

Paper presents the attempt to make a synthesis of a fuel cell control system using fuzzy logic. The main emphasis was placed on taking into account the limitations of fuel cell usage onto underwater ships. The fuel cell system model was implemented in MATLAB/SIMULINK as well as proposed control system. For the formulated model there were made the simulation researches and the comparison analysis of the elaborated control systems were performed.

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

Volume 1: 32nd Design Automation Conference, Parts A and B ◽

10.1115/detc2006-99606 ◽

2006 ◽

Cited By ~ 2

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.

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