Boškoski, Pavle. Fast Electrochemical Impedance Spectroscopy : As a Statistical Condition Monitoring Tool / [electronic resource] : / by Pavle Boškoski, Andrej Debenjak, Biljana Mileva Boshkoska.. — 1st ed. 2017.. — XIII, 83 p. 43 illus., 11 illus. in color. : online resource. — (SpringerBriefs in Applied Sciences and Technology,) 2191-530X. - SpringerBriefs in Applied Sciences and Technology, .
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.
Available to subscribing member institutions only. Доступно лише організаціям членам підписки.
Анотація: 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.
9783319533902
10.1007/978-3-319-53390-2 doi
Energy storage. Electrochemistry. Quality control. Reliability. Industrial safety. Signal processing. Image processing. Speech processing systems. Statistics . Renewable energy resources. Energy Storage. Electrochemistry. Quality Control, Reliability, Safety and Risk. Signal, Image and Speech Processing. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Renewable and Green Energy.