Data based modeling of a PEM fuel cell for control design purposes

M. Lasslberger; E. Gruenbacher; Dina Shona Laila

doi:10.1109/CCA.2008.4629710

Data based modeling of a PEM fuel cell for control design purposes

M. Lasslberger, E. Gruenbacher, Dina Shona Laila

Research output: Contribution to conference › Paper

Abstract

In this paper we consider the problem of data based modeling of Proton Exchange Membrane (PEM) fuel cells for optimal control purposes. Similar to a combustion engine the fuel cell needs some control algorithm for the air path and cooling unit. For an optimal control design a mathematical model of the system is essential. In contrary to a common solution we present a data based method for modeling the PEM fuel cell. Furthermore we discuss the steps in order to achieve a well tuned model. The mathematical model describes the dynamical behavior from the control and the disturbance input to the performance and measurement outputs. All these quantities will be discussed throughout the paper. The model quality is validated using validation data and control strategies are presented.

Original language	English
Pages	347-352
DOIs	https://doi.org/10.1109/CCA.2008.4629710
Publication status	Published - 23 Sept 2008
Event	IEEE International Conference on Control Applications - San Antonio, United States Duration: 3 Sept 2008 → 5 Sept 2008

Conference

Conference	IEEE International Conference on Control Applications
Country/Territory	United States
City	San Antonio
Period	3/09/08 → 5/09/08

Bibliographical note

The full text is not available on the repository.

Keywords

Control systems
USA Councils
Conferences
proton exchange membrane fuel cells
control system synthesis
cooling
optimal control
proton exchange membrane fuel cell
data based model
combustion engine
mathematical model
optimal control design

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10.1109/CCA.2008.4629710

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title = "Data based modeling of a PEM fuel cell for control design purposes",

abstract = "In this paper we consider the problem of data based modeling of Proton Exchange Membrane (PEM) fuel cells for optimal control purposes. Similar to a combustion engine the fuel cell needs some control algorithm for the air path and cooling unit. For an optimal control design a mathematical model of the system is essential. In contrary to a common solution we present a data based method for modeling the PEM fuel cell. Furthermore we discuss the steps in order to achieve a well tuned model. The mathematical model describes the dynamical behavior from the control and the disturbance input to the performance and measurement outputs. All these quantities will be discussed throughout the paper. The model quality is validated using validation data and control strategies are presented.",

keywords = "Control systems, USA Councils, Conferences, proton exchange membrane fuel cells, control system synthesis, cooling, optimal control, proton exchange membrane fuel cell, data based model, combustion engine, mathematical model, optimal control design",

author = "M. Lasslberger and E. Gruenbacher and Laila, {Dina Shona}",

note = "The full text is not available on the repository.; IEEE International Conference on Control Applications ; Conference date: 03-09-2008 Through 05-09-2008",

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doi = "10.1109/CCA.2008.4629710",

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AU - Lasslberger, M.

AU - Gruenbacher, E.

AU - Laila, Dina Shona

N1 - The full text is not available on the repository.

PY - 2008/9/23

Y1 - 2008/9/23

N2 - In this paper we consider the problem of data based modeling of Proton Exchange Membrane (PEM) fuel cells for optimal control purposes. Similar to a combustion engine the fuel cell needs some control algorithm for the air path and cooling unit. For an optimal control design a mathematical model of the system is essential. In contrary to a common solution we present a data based method for modeling the PEM fuel cell. Furthermore we discuss the steps in order to achieve a well tuned model. The mathematical model describes the dynamical behavior from the control and the disturbance input to the performance and measurement outputs. All these quantities will be discussed throughout the paper. The model quality is validated using validation data and control strategies are presented.

AB - In this paper we consider the problem of data based modeling of Proton Exchange Membrane (PEM) fuel cells for optimal control purposes. Similar to a combustion engine the fuel cell needs some control algorithm for the air path and cooling unit. For an optimal control design a mathematical model of the system is essential. In contrary to a common solution we present a data based method for modeling the PEM fuel cell. Furthermore we discuss the steps in order to achieve a well tuned model. The mathematical model describes the dynamical behavior from the control and the disturbance input to the performance and measurement outputs. All these quantities will be discussed throughout the paper. The model quality is validated using validation data and control strategies are presented.

KW - Control systems

KW - USA Councils

KW - Conferences

KW - proton exchange membrane fuel cells

KW - control system synthesis

KW - cooling

KW - optimal control

KW - proton exchange membrane fuel cell

KW - data based model

KW - combustion engine

KW - mathematical model

KW - optimal control design

U2 - 10.1109/CCA.2008.4629710

DO - 10.1109/CCA.2008.4629710

M3 - Paper

SP - 347

EP - 352

T2 - IEEE International Conference on Control Applications

Y2 - 3 September 2008 through 5 September 2008

ER -

Data based modeling of a PEM fuel cell for control design purposes

Abstract

Conference

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Keywords

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