Relevant bibliographies by topics / Self-Powered devices

Academic literature on the topic 'Self-Powered devices'

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Published: 6 September 2023

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Journal articles on the topic "Self-Powered devices"

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Xu, Sheng, Yong Qin, Chen Xu, Yaguang Wei, Rusen Yang, and Zhong Lin Wang. "Self-powered nanowire devices." Nature Nanotechnology 5, no. 5 (March 28, 2010): 366–73. http://dx.doi.org/10.1038/nnano.2010.46.

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Conzuelo, Felipe, Adrian Ruff, and Wolfgang Schuhmann. "Self-powered bioelectrochemical devices." Current Opinion in Electrochemistry 12 (December 2018): 156–63. http://dx.doi.org/10.1016/j.coelec.2018.05.010.

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Amsel, Avigail D., Arkady Rudnitsky, and Zeev Zalevsky. "A Self-Powered Medical Device for Blood Irradiation Therapy." Journal of Atomic, Molecular, and Optical Physics 2012 (June 27, 2012): 1–5. http://dx.doi.org/10.1155/2012/963187.

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Implantable wireless devices may allow localized real-time biomedical treating and monitoring. However, such devices require a power source, which ideally, should be self-powered and not battery dependent. In this paper, we present a novel self-powered light therapeutic device which is designed to implement blood irradiation therapy. This device is self-powered by a miniaturized turbine-based generator which uses hydraulic flow energy as its power source. The research presented in this paper may become the first step towards a new type of biomedical self-operational micromechanical devices deployed for biomedical applications.
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Elahi, Hassan, Khushboo Munir, Marco Eugeni, Sofiane Atek, and Paolo Gaudenzi. "Energy Harvesting towards Self-Powered IoT Devices." Energies 13, no. 21 (October 22, 2020): 5528. http://dx.doi.org/10.3390/en13215528.

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The internet of things (IoT) manages a large infrastructure of web-enabled smart devices, small devices that use embedded systems, such as processors, sensors, and communication hardware to collect, send, and elaborate on data acquired from their environment. Thus, from a practical point of view, such devices are composed of power-efficient storage, scalable, and lightweight nodes needing power and batteries to operate. From the above reason, it appears clear that energy harvesting plays an important role in increasing the efficiency and lifetime of IoT devices. Moreover, from acquiring energy by the surrounding operational environment, energy harvesting is important to make the IoT device network more sustainable from the environmental point of view. Different state-of-the-art energy harvesters based on mechanical, aeroelastic, wind, solar, radiofrequency, and pyroelectric mechanisms are discussed in this review article. To reduce the power consumption of the batteries, a vital role is played by power management integrated circuits (PMICs), which help to enhance the system’s life span. Moreover, PMICs from different manufacturers that provide power management to IoT devices have been discussed in this paper. Furthermore, the energy harvesting networks can expose themselves to prominent security issues putting the secrecy of the system to risk. These possible attacks are also discussed in this review article.
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Yang, Zetian, Zhongtai Zhu, Zixuan Chen, Mingjia Liu, Binbin Zhao, Yansong Liu, Zefei Cheng, Shuo Wang, Weidong Yang, and Tao Yu. "Recent Advances in Self-Powered Piezoelectric and Triboelectric Sensors: From Material and Structure Design to Frontier Applications of Artificial Intelligence." Sensors 21, no. 24 (December 17, 2021): 8422. http://dx.doi.org/10.3390/s21248422.

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The development of artificial intelligence and the Internet of things has motivated extensive research on self-powered flexible sensors. The conventional sensor must be powered by a battery device, while innovative self-powered sensors can provide power for the sensing device. Self-powered flexible sensors can have higher mobility, wider distribution, and even wireless operation, while solving the problem of the limited life of the battery so that it can be continuously operated and widely utilized. In recent years, the studies on piezoelectric nanogenerators (PENGs) and triboelectric nanogenerators (TENGs) have mainly concentrated on self-powered flexible sensors. Self-powered flexible sensors based on PENGs and TENGs have been reported as sensing devices in many application fields, such as human health monitoring, environmental monitoring, wearable devices, electronic skin, human–machine interfaces, robots, and intelligent transportation and cities. This review summarizes the development process of the sensor in terms of material design and structural optimization, as well as introduces its frontier applications in related fields. We also look forward to the development prospects and future of self-powered flexible sensors.
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Ali, Shawkat, Saleem Khan, and Amine Bermak. "All-Printed Human Activity Monitoring and Energy Harvesting Device for Internet of Thing Applications." Sensors 19, no. 5 (March 8, 2019): 1197. http://dx.doi.org/10.3390/s19051197.

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A self-powered device for human activity monitoring and energy harvesting for Internet of Things (IoT) devices is proposed. The self-powered device utilizes flexible Nano-generators (NGs), flexible diodes and off-the-shelf capacitors. During footsteps the NGs generate an AC voltage then it is converted into DC using rectifiers and the DC power is stored in a capacitor for powering the IoT devices. Polydimethylsiloxane (PDMS) and zinc stannate (ZnSnO3) composite is utilized for the NG active layer, indium tin oxide (ITO) and aluminum (Al) are used as the bottom and top electrodes, respectively. Four diodes are fabricated on the bottom electrode of the NG and connected in bridge rectifier configuration. A generated voltage of 18 Vpeak was achieved with a human footstep. The self-powered smart device also showed excellent robustness and stable energy scavenger from human footsteps. As an application we demonstrate human activity detection and energy harvesting for IoT devices.
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Zheng, Qiang, Qizhu Tang, Zhong Lin Wang, and Zhou Li. "Self-powered cardiovascular electronic devices and systems." Nature Reviews Cardiology 18, no. 1 (September 7, 2020): 7–21. http://dx.doi.org/10.1038/s41569-020-0426-4.

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Mainra, Jashan Kumar, Akshpreet Kaur, Gaurav Sapra, and Parul Gaur. "Simulation and Modelling of Triboelectric Nanogenerator for Self-powered Electronic Devices." IOP Conference Series: Materials Science and Engineering 1225, no. 1 (February 1, 2022): 012012. http://dx.doi.org/10.1088/1757-899x/1225/1/012012.

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Abstract Triboelectric Nanogenerators has revolutionised the area of energy harvesting and self-powered sensing. In recent years, variety of small scale applications of triboelectric nanogenerators have been explored extensively particularly in self powered electronics, wearable and implantable devices, self-powered biosensors, human motion monitoring, location evaluation, air quality control etc. This paper discusses simulation and modelling of contact separation mode based triboelectric nanogenerator. In this work, triboelectric nanogenerators are simulated in COMSOL to compare the voltage profile of three different triboelectric materials – Kapton, Teflon and RTV Silicone with respect to Aluminium. Also, the effect of thickness of triboelectric layer on voltage profile is studied to optimize the thickness of the films. The output voltage recorded is 75 V, 60 V and 59 V for RTV Silicone, Teflon and Kapton respectively. It was observed that with increase in thickness of triboelectric layer, output voltage first increases linearly and then starts decreasing. The future research is directed towards fabricating a robust device for realising self – powered electronic devices.
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Xue, Ziao, Li Wu, Junlin Yuan, Guodong Xu, and Yuxiang Wu. "Self-Powered Biosensors for Monitoring Human Physiological Changes." Biosensors 13, no. 2 (February 7, 2023): 236. http://dx.doi.org/10.3390/bios13020236.

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Human physiological signals have an important role in the guidance of human health or exercise training and can usually be divided into physical signals (electrical signals, blood pressure, temperature, etc.) and chemical signals (saliva, blood, tears, sweat). With the development and upgrading of biosensors, many sensors for monitoring human signals have appeared. These sensors are characterized by softness and stretching and are self-powered. This article summarizes the progress in self-powered biosensors in the past five years. Most of these biosensors are used as nanogenerators and biofuel batteries to obtain energy. A nanogenerator is a kind of generator that collects energy at the nanoscale. Due to its characteristics, it is very suitable for bioenergy harvesting and sensing of the human body. With the development of biological sensing devices, the combination of nanogenerators and classical sensors so that they can more accurately monitor the physiological state of the human body and provide energy for biosensor devices has played a great role in long-range medical care and sports health. A biofuel cell has a small volume and good biocompatibility. It is a device in which electrochemical reactions convert chemical energy into electrical energy and is mostly used for monitoring chemical signals. This review analyzes different classifications of human signals and different forms of biosensors (implanted and wearable) and summarizes the sources of self-powered biosensor devices. Self-powered biosensor devices based on nanogenerators and biofuel cells are also summarized and presented. Finally, some representative applications of self-powered biosensors based on nanogenerators are introduced.
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Kim, Minsoo P. "Multilayered Functional Triboelectric Polymers for Self-Powered Wearable Applications: A Review." Micromachines 14, no. 8 (August 20, 2023): 1640. http://dx.doi.org/10.3390/mi14081640.

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Multifunctional wearable devices detect electric signals responsive to various biological stimuli and monitor present body motions or conditions, necessitating flexible materials with high sensitivity and sustainable operation. Although various dielectric polymers have been utilized in self-powered wearable applications in response to multiple external stimuli, their intrinsic limitations hinder further device performance enhancement. Because triboelectric devices comprising dielectric polymers are based on triboelectrification and electrostatic induction, multilayer-stacking structures of dielectric polymers enable significant improvements in device performance owing to enhanced interfacial polarization through dissimilar permittivity and conductivity between each layer, resulting in self-powered high-performance wearable devices. Moreover, novel triboelectric polymers with unique chemical structures or nano-additives can control interfacial polarization, allowing wearable devices to respond to multiple external stimuli. This review summarizes the recent insights into multilayered functional triboelectric polymers, including their fundamental dielectric principles and diverse applications.
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Dissertations / Theses on the topic "Self-Powered devices"

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Nyländen, T. (Teemu). "Application specific programmable processors for reconfigurable self-powered devices." Doctoral thesis, Oulun yliopisto, 2018. http://urn.fi/urn:isbn:9789526218755.

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Abstract The current Internet of Things solutions for simple measurement and monitoring tasks are evolving into ubiquitous sensor networks that are constantly observing both our well being and the conditions of our living environment. The oncoming omnipresent wireless infrastructure is expected to feature artificial intelligence capabilities that can interpret human actions, gestures and even needs. All of this will require processing power on a par with and energy efficiency far beyond that of the current mobile devices. The current Internet of Things devices rely mostly on commercial low power off-the-shelf micro-controllers. Optimized solely for low power, while paying little attention to computing performance, the present solutions are far from achieving the energy efficiency, let alone, the compute capability requirements of the future Internet of Things solutions. Since this domain is application specific by nature, the use of general purpose processors for signal processing tasks is counterintuitive. Instead, dedicated accelerator based solutions are more likely to be able to meet these strict demands. This thesis proposes one potential solution for achieving the necessary low energy, as well as the flexibility and performance requirements of the Internet of Things domain in a cost effective manner using reconfigurable heterogeneous processing solutions. A novel graphics processing unit-style accelerator for the Internet of Things application domain is presented. Since the accelerator can be reconfigured, it can be used for most applications of the Internet of Things domain, as well as other application domains. The solution is assessed using two computer vision applications, and is demonstrated to achieve an excellent combination of performance and energy efficiency. The accelerator is designed using an efficient and rapid co-design flow of software and hardware, featuring ease of development characteristics close to commercial off-the-shelf solutions, which also enables cost-efficient design flow
Tiivistelmä Esineiden internet tulee muuttamaan tulevaisuudessa elinympäristömme täysin. Se tulee mahdollistamaan interaktiiviset ympäristöt nykyisten passiivisten ympäristöjen sijaan. Lisäksi elinympäristömme tulee reagoimaan tekoihimme ja puheeseemme sekä myös tunteisiimme. Tämä kaikkialla läsnä olevan langaton infrastruktuuri tulee vaatimaan ennennäkemätöntä laskentatehokkuutta yhdistettynä äärimmäiseen energiatehokkuuteen. Nykyiset esineiden internet ratkaisut nojaavat lähes täysin kaupallisiin "suoraan hyllyltä" saataviin yleiskäyttöisiin mikrokontrollereihin. Ne ovat kuitenkin optimoituja pelkästään matalan tehonkulutuksen näkökulmasta, eivätkä niinkään energiatehokkuuden, saati tulevaisuuden esineiden internetin vaatiman laskentatehon suhteen. Kuitenkin esineiden internet on lähtökohtaisesti sovelluskohtaista laskentaa vaativa, joten yleiskäyttöisten prosessoreiden käyttö signaalinkäsittelytehtäviin on epäloogista. Sen sijaan sovelluskohtaisten kiihdyttimien käyttö laskentaan, todennäköisesti mahdollistaisi tavoitellun vaatimustason saavuttamisen. Tämä väitöskirja esittelee yhden mahdollisen ratkaisun matalan energian kulutuksen, korkean suorituskyvyn ja joustavuuden yhdenaikaiseen saavuttamiseen kustannustehokkaalla tavalla, käyttäen uudelleenkonfiguroitavia heterogeenisiä prosessoriratkaisuja. Työssä esitellään uusi grafiikkaprosessori-tyylinen uudelleen konfiguroitava kiihdytin esineiden internet sovellusalueelle, jota pystytään hyödyntämään useimpien laskentatehoa vaativien sovellusten kanssa. Ehdotetun kiihdyttimen ominaisuuksia arvioidaan kahta konenäkösovellusta esimerkkinä käyttäen ja osoitetaan sen saavuttavan loistavan yhdistelmän energia tehokkuutta ja suorituskykyä. Kiihdytin suunnitellaan käyttäen tehokasta ja nopeaa ohjelmiston ja laitteiston yhteissuunnitteluketjua, jolla voidaan saavuttaa lähestulkoon kaupallisten "suoraan hyllyltä" saatavien prosessoreiden kehitystyön helppous, joka puolestaan mahdollistaa kustannustehokkaan kehitys- ja suunnittelutyön
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Álvarez-Carulla, Albert. "Energy Harvesting Solutions for Self-Powered Devices: From Structural Health Monitoring to Biomedical Applications." Doctoral thesis, Universitat de Barcelona, 2021. http://hdl.handle.net/10803/670900.

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The thesis reflects the research carried out on the development of truly self-powered devices. The development of devices for the scopes of Structural Health Monitoring (SHM) and Point-of-Care devices (PoC) is shown. New solutions are implemented in the field of energy harvesting to use a single transducer as sensor element and power supply for the system. In this research, the transducers used are piezoelectric generators and galvanic cells, being extrapolated the developments made to other types of transducers or generators.
La tesis recoge la investigación realizada sobre el desarrollo de dispositivos verdaderamente auto- alimentados. Se muestra el desarrollo de dispositivos para el ámbito de la monitorización de la salud de estructuras (SHM) y el ámbito de los dispositivos Point-of-Care (PoC). Para ello, se implementan nuevas soluciones del ámbito de la recolección de energía para utilizar un único transductor como elemento sensor y de fuente de alimentación para el sistema. En esta investigación, los transductores utilizados son generadores piezoeléctricos y celdas galvánicas, siendo extrapolables los desarrollos realizados a otro tipos de transductores o generadores.
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Wu, Wenzhuo. "Piezotronic devices and integrated systems." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/51726.

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Novel technology which can provide new solutions and enable augmented capabilities to CMOS based technology is highly desired. Piezotronic nanodevices and integrated systems exhibit potential in achieving these application goals. By combining laser interference lithography and low temperature hydrothermal method, an effective approach for ordered growth of vertically aligned ZnO NWs array with high-throughput and low-cost at wafer-scale has been developed, without using catalyst and with a superior control over orientation, location/density and morphology of as-synthesized ZnO NWs. Beyond the materials synthesis, by utilizing the gating effect produced by the piezopotential in a ZnO NW under externally applied deformation, strain-gated transistors (SGTs) and universal logic operations such as NAND, NOR, XOR gates have been demonstrated for performing piezotronic logic operations for the first time. In addition, the first piezoelectrically-modulated resistive switching device based on piezotronic ZnO NWs has also been presented, through which the write/read access of the memory cell is programmed via electromechanical modulation and the logic levels of the strain applied on the memory cell can be recorded and read out for the first time. Furthermore, the first and by far the largest 3D array integration of vertical NW piezotronic transistors circuitry as active pixel-addressable pressure-sensor matrix for tactile imaging has been demonstrated, paving innovative routes towards industrial-scale integration of NW piezotronic devices for sensing, micro/nano-systems and human-electronics interfacing. The presented concepts and results in this thesis exhibit the potential for implementing novel nanoelectromechanical devices and integrating with MEMS/NEMS technology to achieve augmented functionalities to state-of-the-art CMOS technology such as active interfacing between machines and human/ambient as well as micro/nano-systems capable of intelligent and self-sufficient multi-dimensional operations.
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Dhayal, Vandana Sultan Singh. "Exploring Simscape™ Modeling for Piezoelectric Sensor Based Energy Harvester." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984261/.

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This work presents an investigation of a piezoelectric sensor based energy harvesting system, which collects energy from the surrounding environment. Increasing costs and scarcity of fossil fuels is a great concern today for supplying power to electronic devices. Furthermore, generating electricity by ordinary methods is a complicated process. Disposal of chemical batteries and cables is polluting the nature every day. Due to these reasons, research on energy harvesting from renewable resources has become mandatory in order to achieve improved methods and strategies of generating and storing electricity. Many low power devices being used in everyday life can be powered by harvesting energy from natural energy resources. Power overhead and power energy efficiency is of prime concern in electronic circuits. In this work, an energy harvester is modeled and simulated in Simscape™ for the functional analysis and comparison of achieved outcomes with previous work. Results demonstrate that the harvester produces power in the 0 μW to 100 μW range, which is an adequate amount to provide supply to low power devices. Power efficiency calculations also demonstrate that the implemented harvester is capable of generating and storing power for low power pervasive applications.
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Pettersson, Ingvor. "Significance of assistive devices in the daily life of persons with stroke and their spouses /." Doctoral thesis, Örebro : Örebro University : Universitetsbiblioteket, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-460.

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Noble, Frazer K. "Wireless vehicle presence detection using self-harvested energy : a thesis in partial fulfilment of the requirements for the degree of Master of Engineering in Mechatronics, Massey University, Albany, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1078.

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Rising from the “excess demand” modern societies and economies place on limited road resources, congestion causes increased vehicle emissions, decreases national efficiency, and wastes time (Downs, 2004). In order to minimise congestion’s impacts, traffic management systems gather traffic data and use it to implement efficient management algorithms (Downs, 2004). This dissertation’s purpose has been the development of a distributable vehicle presence detection sensor, which will wirelessly provide vehicle presence information in real time. To address the sensor’s wireless power requirements, the feasibility of self-powering the device via harvested energy has been investigated. Piezoelectric, electrostatic, and electromagnetic energy harvesting devices’ principles of operation and underlying theory has been investigated in detail and an overview presented alongside a literature review of previous vibration energy harvesting research. An electromagnetic energy harvesting device was designed, which consists of: a nylon reinforced rubber bladder, hydraulic piston, neodymium magnets, and wire-wound coil housing. Preliminary testing demonstrated a harvested energy between 100mJ and 205mJ per axle. This amount is able to be transferred to a 100O load when driven over at speeds between 10km/h and 50km/h. Combined with an embedded circuit, the energy harvester facilitated the development of a passive sensor, which is able to wirelessly transmit a vehicle’s presence signal to a host computer. The vehicle detected event is displayed via a graphical user interface. Energy harvesting’s ability to power the embedded circuit’s wireless transmission, demonstrated the feasibility of developing systems capable of harvesting energy from their environment and using it to power discrete electronic components. The ability to wirelessly transmit a vehicle’s presence facilitates the development of distributable traffic monitoring systems, allowing for remote traffic monitoring and management.
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"Feasibility studies of self-powered piezoelectric sensors." 2004. http://library.cuhk.edu.hk/record=b5892014.

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Ng Tsz Ho.
Thesis (M.Phil.)--Chinese University of Hong Kong, 2004.
Includes bibliographical references (leaves 67-70).
Abstracts in English and Chinese.
ABSTRACT --- p.i
摘要 --- p.ii
ACKNOWLEDGEMENTS --- p.iii
LIST OF FIGURES --- p.iv
LIST OF TABLES --- p.ix
Chapter CHAPTER 1 --- INTRODUCTION --- p.1
Chapter 1.1 --- Background --- p.1
Chapter 1.2 --- Literature Review --- p.3
Chapter 1.3 --- Research Objectives --- p.5
Chapter 1.4 --- Thesis Organization --- p.5
Chapter CHAPTER 2 --- MODELING OF PIEZOELECTRIC SENSOR/GENERATOR --- p.6
Chapter 2.1 --- Constitutive Equations --- p.6
Chapter 2.2 --- Voltage Output of Piezoelectric Materials --- p.9
Chapter 2.2.1 --- Short Circuit --- p.9
Chapter 2.2.2 --- Open Circuit --- p.11
Chapter 2.3 --- Sensitivity and Power Generation --- p.13
Chapter 2.4 --- Modeling and Analysis of Sensor Structure --- p.23
Chapter 2.4.1 --- Damping Ratio Estimation --- p.25
Chapter (a) --- Half-power bandwidth method --- p.25
Chapter (b) --- Linear interpolation method --- p.25
Chapter 2.4.2 --- Trade-off between Resonant Frequency and Output Sensitivity of a Sensor --- p.29
Chapter (a) --- Maximize Sme with constant wn --- p.31
Chapter (b) --- Maximize wn with constant Sme --- p.33
Chapter 2.5 --- Model Accuracy --- p.39
Chapter CHAPTER 3 --- POWER HARVESTING --- p.41
Chapter 3.1 --- Circuit Model --- p.41
Chapter 3.2 --- Energy Storage --- p.47
Chapter 3.3 --- Size Effect on Power Output --- p.49
Chapter 3.4 --- Power Harvesting Circuit --- p.50
Chapter 3.4.1 --- Performance of the Power Harvesting Circuit --- p.51
Chapter (a) --- Power Harvesting Circuit Efficiency --- p.52
Chapter (b) --- Useful Power Output --- p.53
Chapter (c) --- System Efficiency --- p.56
Chapter (d) --- Relationship between Input Excitation and Charge Time --- p.57
Chapter 3.5 --- Harvested Energy for Wireless Transmission --- p.60
Chapter CHAPTER 4 --- CONCLUDING REMARKS --- p.64
Chapter 4.1 --- Sensor/Generator Design --- p.64
Chapter 4.2 --- Potential Applications --- p.64
Chapter 4.3 --- Conclusion --- p.65
Chapter 4.4 --- Future Work --- p.66
REFERENCES --- p.67
APPENDIX --- p.71
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Coelho, Guilherme Miguel Melo. "Wearable Integrated Devices for Sustainable Energy: Self Powered e-Cloths." Master's thesis, 2020. http://hdl.handle.net/10362/112787.

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Nowadays, from lifestyle to sports and health to security, wearable technology is an inevitable trend that, through the human-machine interaction, has the capability of transforming businesses by making them smarter, more informative, and more communicative. In this study, commercial textile fibers have been functionalized with Polypyrrole (PPy) to achieve an electronic system that can convert external mechanical energy into electrical energy. PPy is a biocompatible π-conjugated polymer. The main principle behind the devices’ operation is the charge transfer mechanism that occurs between the π-conjugated polymer and the metal (electrode) layer when the system suffers mechanical stress. Furthermore, the PPy functionalized textile has been weaved to an e-cloth, through a custom-built weaving machine. This e-cloth can generate current under human-motion interaction. The best results achieved in this study, in terms of power density and current density, were 2.29 Wm-2 and 23.9 mA m-2 , respectively. Considering the best device, we were able to light up to 50 LEDs connected in series. With this device, we were also able to charge a 33F capacitor up to 1V, in 225 seconds. All the devices built have kept electrical stability during the six months of the work. The main application explored in this study was the detection of human movements through motion interactive energy harvesting technology.
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Yang, Te-Fu, and 陽德甫. "Battery Powered Self-Cancellation DC-DC Buck Converter with 97% Output Voltage Accuracy for Biomedical Devices in 28nm CMOS Process." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/4fvv94.

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碩士
國立交通大學
電機工程學系
104
This dissertation presents a battery powered self-cancellation DC-DC buck (SC-Buck) converter with 97% output voltage accuracy for biomedical devices in 28nm CMOS process. As the publics are paying more attention on the healthcare services. Advantages of portable biomedical devices become more and more obvious. Due to increasing average lifespan, the convenience healthcare delivery is urgently needed. A remote monitoring service, for example, helps the healthcare practitioners to observe any unusual symptom by monitoring the blood pressure, body temperature, heart beats, etc. These kinds of healthcare services highly depend on the support of portable medical devices. For portable devices, the battery is the key component to deliver power anywhere. Therefore, the battery of a medical device has been developed with lots of efforts. But power management unit (PMU) of medical devices, which directly delivers supplying voltage to systems, should also be carefully designed. Reliability and safety of power sources are important because any failure or malfunction is not a viable option when it comes to human life. On the other hand, IEC60601-1 standard also specifies the stability of supplying DC voltage. Due to above requirements, the proposed SC-Buck converter provides high accuracy and stable output voltage to the loading system. SC-Buck converter overcomes process, voltage and temperature (PVT) variations and increases output voltage accuracy up to 97% without any trimming procedures. The developed technique also overcomes the discontinuity in conventional offset cancellation scheme and reduces large silicon area occupation, which is required to decrease mismatch in conventional operational amplifiers (OPAMPs). Monte Carlo analysis verifies the reduction of mismatch. Furthermore, increasing the functionality of portable medical devices is also expected by clinicians and patients. High performance services require extra power suppling. Thus, Turbo-boost charger developed by Texas Instruments (TI) provides higher power delivery, but restricts the applications. Therefore, this dissertation also presents a new control topology of Turbo-boost charger named as the fully automatic control (FAC) technique, which can support any loading systems. Modeling from basic switching-based charger to the Turbo-boost charger is completely derived and analyzed.
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Yang, Chih-Hsiang, and 楊智翔. "Using Piezoelectric Energy Harvesting Devices in Synchronized Switch Harvesting on Inductor (SSHI) Circuit Driven by Induction Coil and its Application in Self-powered System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/18544649254029144011.

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碩士
國立臺灣大學
工程科學及海洋工程學研究所
100
In recent years, energy depletion and alternative energy issues gradually are taken seriously, the piezoelectric material security, good stability and small size of the advantage, making it an important alternative energy sources. The energy derived from the piezoelectric power harvester could be applied to the circuit of Synchronized Switch Harvesting on Inductor (SSHI) successfully. Moreover, by allocating the energy into two parts, one for SSHI circuit, the other for electric components, the energy is enough to supply the whole circuit, which makes it become a self-powered system with high efficiency. In this paper, the method of electromagnetic induction is used to drive the switches because its produced signals have low noises. This advantage makes it easier to control, decreases the design of filter circuits in the whole system and deduces the energy consumption.
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Books on the topic "Self-Powered devices"

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Alhawari, Mohammad, Baker Mohammad, Hani Saleh, and Mohammed Ismail. Energy Harvesting for Self-Powered Wearable Devices. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62578-2.

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Kottapalli, Ajay Giri Prakash, Kai Tao, Debarun Sengupta, and Michael S. Triantafyllou. Self-Powered and Soft Polymer MEMS/NEMS Devices. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05554-7.

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Dhakar, Lokesh. Triboelectric Devices for Power Generation and Self-Powered Sensing Applications. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3815-0.

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Colomer-Farrarons, Jordi, and Pere Lluís Miribel-Català. A CMOS Self-Powered Front-End Architecture for Subcutaneous Event-Detector Devices. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0686-6.

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Lee, Tae-Ho. Formation of KNbO3 Thin Films for Self-Powered ReRAM Devices and Artificial Synapses. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2535-9.

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Lluís, Miribel-Català Pere, and SpringerLink (Online service), eds. A CMOS Self-Powered Front-End Architecture for Subcutaneous Event-Detector Devices: Three-Electrodes Amperometric Biosensor Approach. Dordrecht: Springer Science+Business Media B.V., 2011.

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Educational Resources Information Center (U.S.), ed. Adaptive driving equipment: Selection and major considerations ; [and], battery powered scooters and 3-wheelers. [West Columbia, S.C: Center for Rehabilitation Technology Services, South Carolina Vocational Rehabilitation Dept., 1996.

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Muli, Apostle Robert. Self Powered Green Energy Devices. Lulu Press, Inc., 2013.

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Yuce, Mehmet, M. A. Parvez Mahmud, and Abbas Kouzani. Self-Powered Wearable and Implantable Devices. Elsevier Science & Technology Books, 2022.

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Mohammad, Baker, Mohammed Ismail, Mohammad Alhawari, and Hani Saleh. Energy Harvesting for Self-Powered Wearable Devices. Springer International Publishing AG, 2017.

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Book chapters on the topic "Self-Powered devices"

1

Misra, Abha. "Self-Powered Supercapacitor." In Micro to Quantum Supercapacitor Devices, 111–14. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003174554-7.

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Álvarez-Carulla, Albert, Jordi Colomer-Farrarons, and Pere Lluís Miribel Català. "Galvanic Cell-Based Self-powered Devices." In Self-powered Energy Harvesting Systems for Health Supervising Applications, 51–80. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5619-5_3.

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Zhang, Xiaosheng, and Danliang Wen. "All-in-One Self-Powered Microsystems." In Flexible and Stretchable Triboelectric Nanogenerator Devices, 305–37. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2019. http://dx.doi.org/10.1002/9783527820153.ch16.

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Leonov, Vladimir. "Energy Harvesting for Self-Powered Wearable Devices." In Wearable Monitoring Systems, 27–49. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7384-9_2.

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Karbari, Sudha R. "Structural Triboelectric Nanogenerators for Self-powered Wearable Devices." In Advances in Intelligent Systems and Computing, 187–97. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1819-1_19.

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Sengupta, Debarun, Ssu-Han Chen, and Ajay Giri Prakash Kottapalli. "Nature-Inspired Self-Powered Sensors and Energy Harvesters." In Self-Powered and Soft Polymer MEMS/NEMS Devices, 61–81. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05554-7_3.

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Tao, Kai, Honglong Chang, Jin Wu, Lihua Tang, and Jianmin Miao. "MEMS/NEMS-Enabled Energy Harvesters as Self-Powered Sensors." In Self-Powered and Soft Polymer MEMS/NEMS Devices, 1–30. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05554-7_1.

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Sengupta, Debarun, and Ajay Giri Prakash Kottapalli. "Flexible and Wearable Piezoelectric Nanogenerators." In Self-Powered and Soft Polymer MEMS/NEMS Devices, 31–60. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05554-7_2.

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Das, Apurba, and Pamu Dobbidi. "Self-Powered Devices: A New Paradigm in Biomedical Engineering." In Bioelectronics, 323–39. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003263265-20.

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Dhakar, Lokesh. "Skin Based Self-powered Wearable Sensors and Nanogenerators." In Triboelectric Devices for Power Generation and Self-Powered Sensing Applications, 67–85. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3815-0_4.

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Conference papers on the topic "Self-Powered devices"

1

Mani, Suresh, Joseph Mullassery, Olive Jesudas, Harshad Dhuri, and Janak Varma. "Self powered ZigBee devices." In ICWET '10: International Conference and Workshop on Emerging Trends in Technology. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/1741906.1742226.

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Gao, Wei. "Self-powered wearable biosensors." In Energy Harvesting and Storage: Materials, Devices, and Applications XI, edited by Achyut K. Dutta, Palani Balaya, and Sheng Xu. SPIE, 2021. http://dx.doi.org/10.1117/12.2588899.

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Lian, Yong, and Xiaodan Zou. "Towards self-powered wireless biomedical sensor devices." In 2008 9th International Conference on Solid-State and Integrated-Circuit Technology (ICSICT). IEEE, 2008. http://dx.doi.org/10.1109/icsict.2008.4734854.

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Buss, Dennis. "Research in self-powered electronic systems." In 2011 IEEE International Electron Devices Meeting (IEDM). IEEE, 2011. http://dx.doi.org/10.1109/iedm.2011.6131528.

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Andrew, Trisha. "Self-powered garment-integrated sensors (Conference Presentation)." In Organic Photonic Materials and Devices XXI, edited by Christopher E. Tabor, François Kajzar, and Toshikuni Kaino. SPIE, 2019. http://dx.doi.org/10.1117/12.2515254.

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Thekkekara, Litty V. "3D laser-printed self-powered textiles." In Nanoengineering: Fabrication, Properties, Optics, Thin Films, and Devices XVII, edited by Wounjhang Park, André-Jean Attias, and Balaji Panchapakesan. SPIE, 2020. http://dx.doi.org/10.1117/12.2564674.

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Gad, A. E., M. W. G. Hoffmann, J. D. Prades, F. Ramirez, R. Fiz, H. Shen, S. Mathur, and A. Waag. "Self-Powered Solar Diode Gas Sensors." In 2014 International Conference on Solid State Devices and Materials. The Japan Society of Applied Physics, 2014. http://dx.doi.org/10.7567/ssdm.2014.d-1-4.

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Wu, Chung-Yu, Po-Han Kuo, Chi-Kuan Tzeng, Chuan-Chin Chiao, Jui-Wen Pan, and Yueh-Chun Tsai. "Self-powered subretinal prosthetic devices using optoelectronic technologies." In 2016 International Conference on Optical MEMS and Nanophotonics (OMN). IEEE, 2016. http://dx.doi.org/10.1109/omn.2016.7565841.

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Reilly, Kyle M., Michael T. Birner, and Nathan G. Johnson. "Measuring air quality using wireless self-powered devices." In 2015 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2015. http://dx.doi.org/10.1109/ghtc.2015.7343983.

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Doumenis, Gregory, Ioannis Masklavanos, and Konstantine Tsiapali. "Lightweight operation scheduling for self-powered IoT devices." In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). IEEE, 2022. http://dx.doi.org/10.1109/seeda-cecnsm57760.2022.9932933.

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