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Journal ArticleDOI

Operational optimization and real-time control of fuel-cell systems

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TLDR
In this article, an integrated optimization and control tool for Proton Exchange Membrane Fuel-Cell (PEMFC) systems using a detailed simulation model is presented, which contains steady-state values of the manipulated and controlled variables over the full operational range of the fuel-cell system.
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This article is published in Journal of Power Sources.The article was published on 2009-08-01. It has received 56 citations till now. The article focuses on the topics: Model predictive control & Real-time Control System.

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Citations
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Journal ArticleDOI

Energy management of fuel cell/solar cell/supercapacitor hybrid power source

TL;DR: In this article, the authors presented an original control algorithm for a hybrid energy system with a renewable energy source, namely, a polymer electrolyte membrane fuel cell (PEMFC) and a photovoltaic (PV) array.
Journal ArticleDOI

Real-time implementation of a sliding mode controller for air supply on a PEM fuel cell

TL;DR: In this article, the authors present a control approach to the air feed of a fuel cell based on a single input single output sliding mode control, which is able to deal with the nonlinearities and uncertainties without the need of heavy computation load for the controller algorithm.
Journal ArticleDOI

Optimal Operational Control for Complex Industrial Processes

TL;DR: In this paper, a data-driven hybrid intelligent optimal operational control for complex industrial processes where process operational models are difficult to obtain is presented to demonstrate the effectiveness of the proposed operational control method.
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Optimal PID plus fuzzy controller design for a PEM fuel cell air feed system using the self-adaptive differential evolution algorithm

TL;DR: Simulation results show that the proposed technique improves the fuel cell system performance and prevents oxygen starvation by fixing the oxygen ratio at a proper setpoint.
Journal ArticleDOI

Modeling and operation optimization of a proton exchange membrane fuel cell system for maximum efficiency

TL;DR: In this article, a constrained optimization problem was formulated to maximize the efficiency of a proton exchange membrane fuel cell system by incorporating practical models derived from actual operations of the system, and the optimization results revealed that the efficiency gaps between the worst and best operation conditions could reach 1.2-5.5% depending on the power output range.
References
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Book

Process Dynamics and Control

TL;DR: This book discusses the development of Empirical Models from Process Data, Dynamic Behavior of First-Order and Second-Order Processes, and Dynamic Response Characteristics of More Complicated Processes.
Journal ArticleDOI

Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach

TL;DR: This paper proposes using a hybrid configuration, in which a bank of ultracapacitors supplements the polymer electrolyte membrane fuel cell during fast current transients, to avoid fuel cell oxygen starvation, prevent air compressor surge and choke, and simultaneously match an arbitrary level of current demand
Journal ArticleDOI

Model-based Control of Fuel Cells: (1) Regulatory Control

TL;DR: In this paper, a model-based controller for the regulation of a proton exchange membrane (PEM) fuel cell was proposed, which accounts for spatial dependencies of voltage, current, material flows, and temperatures in the fuel channel.