|
Preface |
5 |
|
|
Contents |
8 |
|
|
Contributors |
9 |
|
|
1 Kinetic Energy Harvesting |
10 |
|
|
1.1 Introduction |
10 |
|
|
1.2 Principles of Kinetic Energy Harvesting |
11 |
|
|
1.2.1 Transfer Function |
12 |
|
|
1.2.2 Equivalent Circuit |
13 |
|
|
1.2.3 Damping in Kinetic Energy Harvesters |
13 |
|
|
1.2.4 Output Power of Kinetic Energy Harvesters |
14 |
|
|
1.3 Transduction Mechanisms |
17 |
|
|
1.3.1 Electromagnetic (EM) Generators |
17 |
|
|
1.3.2 Piezoelectric (PZ) Generators |
21 |
|
|
1.3.3 Electrostatic (ES) Generators |
23 |
|
|
1.3.4 Other Transduction Mechanisms |
27 |
|
|
1.3.5 Comparisons of Transduction Mechanisms |
28 |
|
|
1.4 Introduction to Adaptive Kinetic Energy Harvesting |
31 |
|
|
1.5 Strategies to Tune Resonant Frequency |
32 |
|
|
1.5.1 Evaluating Tuning Approaches |
32 |
|
|
1.5.2 Mechanical Tuning Methods |
32 |
|
|
1.5.3 Electrical Tuning Methods |
55 |
|
|
1.6 Strategies to Widen Bandwidth |
62 |
|
|
1.6.1 Generator Array |
62 |
|
|
1.6.2 Amplitude Limiter |
68 |
|
|
1.6.3 Coupled Oscillators |
69 |
|
|
1.6.4 Non-linear Generators |
69 |
|
|
1.6.5 Bi-stable Generators |
76 |
|
|
1.7 Comparisons of Different Strategies for Adaptive Kinetic Energy Harvesting |
77 |
|
|
1.8 Summary |
78 |
|
|
References |
82 |
|
|
2 Modelling, Performance Optimisation and Automated Designof Mixed-Technology Energy Harvester Systems |
87 |
|
|
2.1 Introduction |
87 |
|
|
2.2 Energy Harvester Design Flow |
89 |
|
|
2.3 Energy Harvester Modelling |
91 |
|
|
2.3.1 Micro-generator |
91 |
|
|
2.3.2 Voltage Booster |
95 |
|
|
2.3.3 Supercapacitor |
96 |
|
|
2.3.4 Models Comparison |
96 |
|
|
2.4 Automatic Structure Configuration Based on HDL Model Library |
100 |
|
|
2.5 Performance Optimisation |
102 |
|
|
2.5.1 Exhaustive Search |
103 |
|
|
2.5.2 Genetic Optimisation |
105 |
|
|
2.6 Concluding Remarks |
108 |
|
|
References |
108 |
|
|
3 Simulation of Ultra-Low Power Sensor Networks |
110 |
|
|
3.1 Introduction |
110 |
|
|
3.1.1 Scenario Analysis |
113 |
|
|
3.2 Design Space and Design Issues |
114 |
|
|
3.2.1 Issues |
114 |
|
|
3.2.2 Partitioning |
117 |
|
|
3.2.3 How to Solve the Issues |
118 |
|
|
3.2.4 SystemC |
118 |
|
|
3.2.5 SystemC AMS |
120 |
|
|
3.2.6 Network Level Simulation |
123 |
|
|
3.3 Modeling Strategies for Power Simulation |
124 |
|
|
3.3.1 Power Analysis |
125 |
|
|
3.3.2 Example: State Machine |
127 |
|
|
3.3.3 Modelling the Channel (Air) |
127 |
|
|
3.4 TUV Building Block Library |
128 |
|
|
3.4.1 Introduction to Example Implementation of a Transceiver System |
128 |
|
|
3.4.2 Why Simulate Analog Components |
129 |
|
|
3.4.3 What Is OFDM? |
130 |
|
|
3.4.4 Full-Fledged OFDM Transceiver System |
131 |
|
|
3.4.5 OFDM Transceiver with Library Usage |
144 |
|
|
3.4.6 Advantage of High-Level Signal Processing with the BBL |
144 |
|
|
References |
147 |
|
|
4 Remote Sensing of Car Tire Pressure |
148 |
|
|
4.1 Motivation for Tire Pressure Monitoring Systems |
148 |
|
|
4.2 Overview of State-of-the-Art TPMS |
150 |
|
|
4.2.1 Direct Battery-Based (Active) Systems |
150 |
|
|
4.2.2 Direct Battery-Less (Passive) Systems |
151 |
|
|
4.2.3 Indirect (ABS-Based) Systems |
151 |
|
|
4.3 Motivation and Requirements for In-Tire TPMS |
152 |
|
|
4.4 A Self-Sufficient In-Tire TPMS Demonstrator |
153 |
|
|
4.4.1 RF Transceiver |
154 |
|
|
4.4.2 Power Supply Subsystem |
157 |
|
|
4.4.3 Overall System Integration of the In-Tire TPMS Node |
159 |
|
|
4.5 Outlook and Future Work |
163 |
|
|
4.6 Conclusion |
164 |
|
|
References |
165 |
|
|
Index |
167 |
|