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Table of Contents
Preface; Acknowledgements; Contents; Acronyms; 1 Introduction; 1.1 EIS as a Tool for Condition Monitoring; 1.2 Book Structure; References; 2 Fast Electrochemical Impedance Spectroscopy; 2.1 Discrete Random Binary Sequence; 2.2 Frequency Analysis; 2.3 Time-Frequency Analysis; 2.3.1 Short-Time Fourier Transform; 2.3.2 Wavelet Transform; 2.3.3 The Morlet Wavelet; 2.3.4 Cone of Influence; 2.3.5 Computationally Efficient CWT with the Morlet Wavelet; 2.3.6 The Lognormal Wavelet; 2.4 Impedance Through Complex Wavelet Coefficients; 2.5 Parameter Selection; 2.5.1 Selection of the DRBS Bandwidth
2.5.2 Influence of the Morlet Wavelet Central Frequency2.6 Accuracy of the Amplitude and Phase Estimates from Wavelet Coefficients; 2.7 Summary; References; 3 Statistical Properties; 3.1 The Concept of Complex Circular Random Variable; 3.1.1 Circularity of Spectral Components; 3.1.2 Circularity of DRBS Spectral Components; 3.2 Statistical Properties of Measured Impedance; 3.2.1 Probability Distribution of the Measured Impedance; 3.2.2 Probability Distribution of Impedance Components; 3.2.3 Probability Distribution of the Impedance Amplitude; 3.2.4 Parameter Estimation; 3.3 Summary
5.4.1 Selection of the Appropriate Frequencies5.4.2 Estimating Copula Parameters; 5.4.3 Copula Output as an Aggregated Condition Indicator; 5.5 Summary; References; 6 Condition Monitoring of PEM Fuel Cells; 6.1 Experimental Setup; 6.2 Experimental Profile; 6.3 Time Evolution of Particular Impedance Components at a Single Frequency; 6.4 Time Evolution of the Condition Indicator at a Single Frequency; 6.5 Time Evolution of the Aggregated Condition Indicator; 6.6 Summary; 7 Hardware Components for Condition Monitoring of PEM Fuel Cells; 7.1 DC-DC Converter; 7.1.1 Microcontroller Circuitry
7.1.2 Power Output Stage7.2 Fuel Cell Voltage Monitor; 7.2.1 Resolving the High Common-Mode Voltage Potential Issue; 7.2.2 FCVM Measurement Modes; 7.2.3 DC-DC Converter and FCVM as a Condition Monitoring System; 7.3 Summary; References; 8 Conclusion; Appendix A Listings
2.5.2 Influence of the Morlet Wavelet Central Frequency2.6 Accuracy of the Amplitude and Phase Estimates from Wavelet Coefficients; 2.7 Summary; References; 3 Statistical Properties; 3.1 The Concept of Complex Circular Random Variable; 3.1.1 Circularity of Spectral Components; 3.1.2 Circularity of DRBS Spectral Components; 3.2 Statistical Properties of Measured Impedance; 3.2.1 Probability Distribution of the Measured Impedance; 3.2.2 Probability Distribution of Impedance Components; 3.2.3 Probability Distribution of the Impedance Amplitude; 3.2.4 Parameter Estimation; 3.3 Summary
5.4.1 Selection of the Appropriate Frequencies5.4.2 Estimating Copula Parameters; 5.4.3 Copula Output as an Aggregated Condition Indicator; 5.5 Summary; References; 6 Condition Monitoring of PEM Fuel Cells; 6.1 Experimental Setup; 6.2 Experimental Profile; 6.3 Time Evolution of Particular Impedance Components at a Single Frequency; 6.4 Time Evolution of the Condition Indicator at a Single Frequency; 6.5 Time Evolution of the Aggregated Condition Indicator; 6.6 Summary; 7 Hardware Components for Condition Monitoring of PEM Fuel Cells; 7.1 DC-DC Converter; 7.1.1 Microcontroller Circuitry
7.1.2 Power Output Stage7.2 Fuel Cell Voltage Monitor; 7.2.1 Resolving the High Common-Mode Voltage Potential Issue; 7.2.2 FCVM Measurement Modes; 7.2.3 DC-DC Converter and FCVM as a Condition Monitoring System; 7.3 Summary; References; 8 Conclusion; Appendix A Listings