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170608 ||| eng |
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|a 9783319533902
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| 100 |
1 |
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|a Boškoski, Pavle
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| 245 |
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|a Fast Electrochemical Impedance Spectroscopy
|h Elektronische Ressource
|b As a Statistical Condition Monitoring Tool
|c by Pavle Boškoski, Andrej Debenjak, Biljana Mileva Boshkoska
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2017, 2017
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| 300 |
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|a XIII, 83 p. 43 illus., 11 illus. in color
|b online resource
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| 505 |
0 |
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|a 1 Introduction -- 2 Fast Electrochemical Impedance Spectroscopy -- 3 Statistical Properties -- 4 Test Cases -- 5 Statistical Condition Monitoring Tool -- 6 Condition Monitoring of PEM Fuel Cells -- 7 Hardware Components for Condition Monitoring of PEM Fuel Cells -- 8 Conclusion -- References -- Listings
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| 653 |
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|a Renewable Energy
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| 653 |
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|a Security Science and Technology
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| 653 |
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|a Mechanical and Thermal Energy Storage
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| 653 |
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|a Statistics
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| 653 |
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|a Energy storage
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| 653 |
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|a Security systems
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| 653 |
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|a Electrochemistry
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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Renewable energy sources
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| 653 |
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|a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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| 653 |
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|a Signal processing
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| 700 |
1 |
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|a Debenjak, Andrej
|e [author]
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| 700 |
1 |
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|a Mileva Boshkoska, Biljana
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a SpringerBriefs in Applied Sciences and Technology
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| 028 |
5 |
0 |
|a 10.1007/978-3-319-53390-2
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-53390-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 621.3126
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| 520 |
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|a 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
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