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.

Theoretical Analysis on the Autothermal Reforming Process of Ethanol as Fuel for a Proton Exchange Membrane Fuel Cell System

2006 ◽  
Vol 4 (4) ◽  
pp. 468-473 ◽  
Author(s):  
Alessandra Perna
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Autothermal Reforming ◽  
Proton Exchange ◽  
Operating Conditions ◽  
Hydrogen Yield ◽  
Fuel Cell System ◽  
Exchange Membrane

The purpose of this work is to investigate, by a thermodynamic analysis, the effects of the process variables on the performance of an autothermal reforming (ATR)-based fuel processor, operating on ethanol as fuel, integrated into an overall proton exchange membrane (PEM) fuel cell system. This analysis has been carried out finding the better operating conditions to maximize hydrogen yield and to minimize CO carbon monoxide production. In order to evaluate the overall efficiency of the system, PEM fuel cell operations have been analyzed by an available parametric model.

Proton Exchange Membrane (PEM) Fuel Cell System Model for Automotive Vehicle Simulation and Control

2001 ◽  
Author(s):  
Daisie D. Boettner ◽  
Gino Paganelli ◽  
Yann G. Guezennec ◽  
Giorgio Rizzoni ◽  
Michael J. Moran
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Proton Exchange ◽  
System Model ◽  
System Efficiency ◽  
Fuel Cell System ◽  
Air Compressor ◽  
Exchange Membrane

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.

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

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.

Fuzzy Control of Reactant Supply System in PEM Fuel Cell

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.

scholarly journals Effects of Working Fluids on the Performance of a Roots Pump for Hydrogen Recirculation in a PEM Fuel Cell System

2020 ◽  
Vol 10 (22) ◽  
pp. 8069
Author(s):  
Jianmei Feng ◽  
Linfen Xing ◽  
Bingqi Wang ◽  
Huan Wei ◽  
Ziyi Xing
Keyword(s):  
Water Vapor ◽  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Operating Conditions ◽  
Volumetric Efficiency ◽  
Fuel Cell System ◽  
Working Fluids ◽  
Pump Performance ◽  
Isentropic Efficiency

In this paper, the performance of a Roots pump for hydrogen recirculation in proton exchange membrane (PEM) fuel cell system is simulated based on CFD modeling. The Roots pump is in a three-lobe configuration with helical rotors, and it is developed specifically for fuel cell systems between 60 to 110 kW. A three-dimensional model of the Roots pump is established to predict the pump performance, including the flow rate and power consumption under various operating conditions. Extensive simulations were conducted and then verified experimentally by operating with working fluids of air and helium. Based on the validated CFD model, the contents of water vapor and nitrogen in the hydrogen recirculated are taken into account to evaluate the Roots pump performance numerically according to the actual conditions of the recirculating hydrogen at the stack outlet. It is shown that the volumetric efficiency and isentropic efficiency are improved with the increase fraction of water vapor and nitrogen. It is found that the performance of the Roots pump integrated in the PEM fuel cell system is between the performance of the pump working with air and helium. Finally, correlations of volumetric efficiency and isentropic efficiency are given based on the CFD results to show the general pattern of this kind of hydrogen pump. It is believed that these equations are very helpful to the design and operation control of the PEM fuel cell system.

scholarly journals Machine Learning Approach for Modeling and Control of a Commercial Heliocentris FC50 PEM Fuel Cell System

Mathematics ◽  
2021 ◽  
Vol 9 (17) ◽  
pp. 2068
Author(s):  
Mohamed Derbeli ◽  
Cristian Napole ◽  
Oscar Barambones
Keyword(s):  
Machine Learning ◽  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Operating Conditions ◽  
Effect Of Temperature ◽  
Fuel Cell System ◽  
Wide Range ◽  
Temperature And Humidity ◽  
Predicted Model

In recent years, machine learning (ML) has received growing attention and it has been used in a wide range of applications. However, the ML application in renewable energies systems such as fuel cells is still limited. In this paper, a prognostic framework based on artificial neural network (ANN) is designed to predict the performance of proton exchange membrane (PEM) fuel cell system, aiming to investigate the effect of temperature and humidity on the stack characteristics and on tracking control improvements. A large part of the experimental database for various operating conditions has been used in the training operation to achieve an accurate model. Extensive tests with various ANN parameters such as number of neurons, number of hidden layers, selection of training dataset, etc., are performed to obtain the best fit in terms of prediction accuracy. The effect of temperature and humidity based on the predicted model are investigated and compared to the ones obtained from real-time experiments. The control design based on the predicted model is performed to keep the stack operating point at an adequate power stage with high-performance tracking. Experimental results have demonstrated the effectiveness of the proposed model for performance improvements of PEM fuel cell system.

Dynamic Simulation of a Stationary PEM Fuel Cell System

2006 ◽  
Author(s):  
Kyoungdoug Min ◽  
Jack Brouwer ◽  
John Auckland ◽  
Fabian Mueller ◽  
Scott Samuelsen
Keyword(s):  
Fuel Cell ◽  
System Performance ◽  
Processing System ◽  
Temperature Shift ◽  
Pem Fuel Cell ◽  
Cell System ◽  
System Model ◽  
Fuel Cell System ◽  
Fuel Processing ◽  
Control Volumes

A dynamic model of a stationary PEM fuel cell system has been developed in Matlab-Simulink®. The system model accounts for the fuel processing system, PEM stack with coolant, humidifier with anode tail-gas oxidizer (ATO), and an enthalpy wheel for cathode air. For the fuel processing system four reactors were modeled: (1) an auto thermal reactor (ATR) (2) a high temperature shift (HTS) reactor, (3) a low temperature shift (LTS) reactor, and (4) a preferential oxidation (PROX) reactor. Chemical kinetics for ATR that describe steam reformation of methane and partial oxidation of methane were simultaneously solved to accurately predict the reaction dynamics. Chemical equilibrium of CO with H2O was assumed at HTS and LTS reactor exits to calculate CO conversion corresponding to the temperature of each reactor. A quasi-two dimensional unit PEM cell was modeled with five control volumes for solving the dynamic species and mass conservation equations and seven control volumes to solve the dynamic energy balance and to capture the details of MEA behavior, such as water transport, which is critical to accurately determine polarization losses. The dynamic conservation equations, primary heat transfer equations and equations of state are solved in each bulk component and each component is linked together to represent the complete system. A comparison of steady-state model results to experimental data shows that the system model well predicts the actual system power and catalytic partial oxidation (CPO) temperature. Transient simulation of DC power is also well matched with the experimental results to within a few percent. The model predictions well characterized the observed dynamic CPO temperature, voltage, and temperature of stack coolant outlet observations that are representative of a generic PEM stationary fuel cell system performance. The model is shown to be a useful tool for investigating the effects of inlet conditions and for the development of control strategies for enhancing system performance.

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