An experimental study of controlling strategies and drive forces for hydrogen fuel cell hybrid vehicles

Lee, Hyun Seok; Jeong, Kwi Seong; Oh, Byeong Soo

doi:10.1016/s0360-3199(02)00038-1

Cited by 37 publications

(15 citation statements)

References 1 publication

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“…Several analysis tools developed to investigate these types of controllers, for example in [22], are MATLAB based analysis tools for real-time control systems. A few other papers [23], [24] present the experimental study of control strategies, which include parameter estimation and diagnostics. Control and stability enhancement of fuel cells systems [25], [26] is considered by several researchers; in particular investigation of the effect of fuel cells on stability of distribution system is a major research topic in these studies.…”

Section: Controller Designmentioning

confidence: 99%

Model Based Controller Design for Hydrogen Fuel Cell Systems

Thanapalan¹,

Premier²,

Guwy³

2024

RE&PQJ

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In this paper, fuel cell system modelling alongside controller development for performance improvements, are investigated. Essentially and in general terms there are two approaches to modelling; black box modelling and detailed dynamic modelling. This work addresses both modelling approaches. These models are then used for hydrogen fuel cell (FC) controller development for improved system performance. A fuzzy-PID hybrid controller has been designed and tested and the results indicate that the fuzzy-PID hybrid control strategy can improve the system's performance significantly.

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Section: Controller Designmentioning

confidence: 99%

Model Based Controller Design for Hydrogen Fuel Cell Systems

Thanapalan¹,

Premier²,

Guwy³

2024

RE&PQJ

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show abstract

“…In this context, Proton Exchange Membrane (PEM) Fuel Cells is a promising technology. Their high power density, low operating temperature, solid electrolyte, fast start-up and low sensitivity to orientation make them appropriate for a wide range of applications (from transport to stationary generation) [3,4]. However, PEM fuel cells have serious operation problems and to take up the challenge it is indispensable a great deal of multidisciplinary efforts, coming from electrochemistry, materials technology, fluid-dynamics, thermodynamics, automatic control and electronics.…”

Section: Introductionmentioning

confidence: 99%

Experimental platform for development and Evaluation of hybrid generation systems based on fuel cells

Talpone

Puleston

Moré

et al. 2012

International Journal of Hydrogen Energy

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“…Most of the major automobile manufacturers now have ambitious programs to develop proton exchange membrane fuel cells as an alternative to the internal combustion engines. Apart from resident applications, many different types of fuel cell systems have been demonstrated for uses in hospitals, boiler plants, surveillance and military purposes, telecommunication facilities, power microgrid etc [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Multimode sensing technique for carbon monoxide plume tracking and forecasting for reliable field deployed air breathing PEM fuel cell operation

Mitra

Ramesh

Bhattacharyya

et al. 2012

2012 1st International Symposium on Physics and Technology of Sensors (ISPTS-1)

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An air breathing proton exchange membrane fuel cell (PEMFC) combines H 2 or reformed hydrocarbon fuel and O 2 from air to produce electrical energy. The efficiency of nano-scale platinum catalysts at the fuel cell cathode is highly susceptible to carbon monoxide (CO) poisoning and results in irreversible damage to the electrode. Higher CO 2 level in air does not induce catalytic poisoning , however it lowers the partial pressure of O 2 at cathode . This results in a drop of fuel cell output power. Our work proposes a combined range sensing and proximate sensing based approach for tracking of smoke plume. Our approach helps to tackle the PEMFC degradation issue by forecasting nature of the plume in vicinity of the fuel cell. The simulation results quantify the dynamic changes in PEMFC electrode resistance with respect to higher levels of CO concentration in air. Drop in fuel cell output power with respect to higher mass fractions of CO 2 and ambient humidity are also quantified in this work. The proposed threat prediction based approach helps to enhance the lifetime of a field deployed air PEMFC by reducing and/or inhibiting the air contaminant based fuel cell degradation mechanisms. Keywords-component; air breathing field deployed PEMFC, range and proximate sensing, plume tracking, enhancing FC life I. INTRODUCTIONA fuel cell is an electrochemical device that combines hydrogen and oxygen to produce electricity with water and heat as the bye product. Hydrogen is the most commonly used fuel, but other hydrocarbons such as methanol, ethanol, CNG, and propane may be also used as fuels. Production of high energy density at comparatively low temperature, high systems efficiency (80%), and pollutant free quieter operation are the salient features of fuel cell technology. For these reasons, fuel cell technology is uniquely suited for use in a wide variety of stationary, vehicular, and portable energy and power applications. Today, demonstration projects have shown fuel cell systems to be feasible for portable power, transportation (including personal vehicles), utility power, and on-site power generation in a variety of building applications. Most of the major automobile manufacturers now have ambitious programs to develop proton exchange membrane fuel cells as an alternative to the internal combustion engines. Apart from resident applications, many different types of fuel cell systems have been demonstrated for uses in hospitals, boiler plants, surveillance and military purposes, telecommunication facilities, power microgrid etc [1][2][3][4][5][6][7].

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An experimental study of controlling strategies and drive forces for hydrogen fuel cell hybrid vehicles

Cited by 37 publications

References 1 publication

Model Based Controller Design for Hydrogen Fuel Cell Systems

Model Based Controller Design for Hydrogen Fuel Cell Systems

Experimental platform for development and Evaluation of hybrid generation systems based on fuel cells

Multimode sensing technique for carbon monoxide plume tracking and forecasting for reliable field deployed air breathing PEM fuel cell operation

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