Hybridization, Diagnostic and Prognostic of PEM Fuel Cells

Opis

Hydrogen is the most abundant element in the universe. It has a place in the energy mix of the future, especially regarding fuel cells (FCs). This book is an investigation into FCs. Prominence is given to the subject of PEMFCs (proton exchange membrane fuel cells) as they offer interesting perspectives on transport and stationary applications. This being said, a number of technological and scientific obstacles remain to be overcome before an industrial level of development can be reached.

Spis treści

Cover 2
Half-Title Page 4
Title Page 6
Copyright Page 7
Contents 8
Foreword 12
Introduction 14
- I.1. Subject matter 14
- I.2. Chapter breakdown 16
1. Fuel Cells: the Path Towards Hydrogen Revolution 20
- 1.1. Introduction 20
- 1.2. Energy: a global view 21
  - 1.2.1. An obsolete energy model 21
  - 1.2.2. Solutions for the energy mix decarbonization 23

Cover 2
Half-Title Page 4
Title Page 6
Copyright Page 7
Contents 8
Foreword 12
Introduction 14
- I.1. Subject matter 14
- I.2. Chapter breakdown 16
1. Fuel Cells: the Path Towards Hydrogen Revolution 20
- 1.1. Introduction 20
- 1.2. Energy: a global view 21
  - 1.2.1. An obsolete energy model 21
  - 1.2.2. Solutions for the energy mix decarbonization 23
- 1.3. Hydrogen vector 25
  - 1.3.1. Hydrogen production 25
- 1.4. Fuel cell and its applications 31
  - 1.4.1. Brief history 31
  - 1.4.2. Fuel cell and its revival 32
  - 1.4.3. Applications of fuel cells 33
- 1.5. Conclusion 48
2. From FC to System 50
- 2.1. Introduction 50
- 2.2. Fuel cell technologies for transport and stationary applications 51
  - 2.2.1. Presentation of various technologies 51
  - 2.2.2. Operating principle 54
  - 2.2.3. Comparison of technologies 58
- 2.3. System approach 61
  - 2.3.1. Auxiliary circuits 61
  - 2.3.2. System architecture 63
- 2.4. Limits of fuel cell systems 77
- 2.5. Conclusion 80
3. Hybridization of Generators 82
- 3.1. Introduction 82
- 3.2. Hybridization of electric power sources 83
  - 3.2.1. Hybridization for transport-oriented systems 83
  - 3.2.2. Energy management in hybrid systems 86
- 3.3. Hybridization of fuel cell generators 93
  - 3.3.1. Wavelet transform application to energy management 94
  - 3.3.2. Application of ARIMA models for energy management 104
  - 3.3.3. Applications of neural networks for energy management 109
  - 3.3.4. Comparison of adaptive NARNN and ARIMA 112
- 3.4. Hybridization of other generators 115
  - 3.4.1. Topology of the studied system and its modeling 116
  - 3.4.2. Energy management strategy 119
  - 3.4.3. Type-2 fuzzy logic and optimization of the fuzzy controller 122
  - 3.4.4. Simulation results 126
- 3.5. Conclusion 132
4. Diagnostics and Prognostics of Fuel Cell Generators 134
- 4.1. Introduction 134
- 4.2. Degradation phenomena in a fuel cell and its system 135
  - 4.2.2. Degradations of FC components 136
  - 4.2.1. Reversible or irreversible degradations? 136
  - 4.2.3. Degradations depending on origin 138
  - 4.2.4. Failures of the FC system 139
- 4.3. Diagnostics 143
  - 4.3.1. Diagnostic methods applicable to fuel cells 144
  - 4.3.2. Diagnostic methods developed 148
  - 4.3.3. Results obtained with k-NN 153
  - 4.3.4. Results obtained with the wavelet transform 165
  - 4.3.5. Results obtained with other diagnostic methods 169
- 4.4. Prognostics of fuel cells 170
  - 4.4.1. From prognostics to PHM 172
  - 4.4.2. Prognostic methods developed 177
  - 4.4.3. Results obtained with ANFIS 180
  - 4.4.4. Results obtained with ESNs [MOR 15a] 188
- 4.5. Conclusion 202
Summary and Conclusion 206
References 212
Index 234
Other titles from iSTE in Energy 236
EULA 240

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