Fast Electrochemical Impedance Spectroscopy

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80,24 

As a Statistical Condition Monitoring Tool, SpringerBriefs in Applied Sciences and Technology

ISBN: 3319533894
ISBN 13: 9783319533896
Autor: Boskoski, Pavle/Debenjak, Andrej/Mileva Boshkoska, Biljana
Verlag: Springer Verlag GmbH
Umfang: xiii, 83 S., 32 s/w Illustr., 11 farbige Illustr., 83 p. 43 illus., 11 illus. in color.
Erscheinungsdatum: 18.05.2017
Auflage: 1/2017
Produktform: Kartoniert
Einband: Kartoniert

Is the only book to cover the application of electrochemical impedance spectroscopy (EIS) on electrochemical devicesAppeals to engineers working on Li-ion batteries, Li-S cells, and polymer electrolyte membrane (PEM) fuel cellsProvides practical guidance for implementation and running of EIS on working devicesIncludes supplementary material: sn.pub/extras

Artikelnummer: 1010962 Kategorie:

Beschreibung

This book offers a review of electrochemical impedance spectroscopy (EIS) and its application in online condition monitoring of electrochemical devices, focusing on the practicalities of performing fast and accurate EIS. The first part of the book addresses the theoretical aspects of the fast EIS technique, including stochastic excitation signals, time-frequency signal processing, and statistical analysis of impedance measurements. The second part presents an application of the fast EIS technique for condition monitoring and evaluates the performance of the proposed fast EIS methodology in three different types of electrochemical devices: a Li-ion battery, a Li-S cell, and a polymer electrolyte membrane (PEM) fuel cell. Uniquely, in addition to theoretical aspects the book provides practical guidelines for implementation, commissioning, and exploitation of EIS for condition monitoring of electrochemical devices, making it a valuable resource for practicing engineers as well as researchers.

Autorenporträt

Pavle Boskoski and Andrej Debenjak are researchers at Jozef Stefan Institute. Their main research focusis in the area of electrochemical energy systems. Among them, the authors have more than 10 years ofexperience in the field of signal processing and condition monitoring of mechanical and electrochemicalenergy systems. They are experts in the field of condition monitoring of fuel cells and have authored morethan 60 peer-reviewed publications. Biljana Mileva Boshkoska is an assistant professor in the Faculty of Information Studies in Novo Mesto.Her main research focus are methods for decision support systems and statistical information fusiontechniques. The developed techniques have been readily implemented in the field of maintenance decisionsupport.

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E-Mail: juergen.hartmann@springer.com

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