A two-step hybrid approach for modeling the nonlinear dynamic response of piezoelectric energy harvesters

An effective hybrid computational framework is described here in order to assess the nonlinear dynamic response of piezoelectric energy harvesting devices. The proposed strategy basically consists of two steps. First, fully coupled multiphysics finite element (FE) analyses are performed to evaluate the nonlinear static response of the device. An enhanced reduced-order model is then derived, where the global dynamic response is formulated in the state-space using lumped coefficients enriched with the information derived from the FE simulations. The electromechanical response of piezoelectric beams under forced vibrations is studied by means of the proposed approach, which is also validated by comparing numerical predictions with some experimental results. Such numerical and experimental investigations have been carried out with the main aim of studying the influence of material and geometrical parameters on the global nonlinear response. The advantage of the presented approach is that the overall computational and experimental efforts are significantly reduced while preserving a satisfactory accuracy in the assessment of the global behavior

Nonlinear Energy Harvesting Under White Noise

While purposeful introduction of stiffness nonlinearities into the dynamics of energy harvesters is aimed at enhancing performance under non-stationary and random excitations, most of the conclusions reported in the current literature are based on the steady-state response which assumes a harmonic fixed-frequency excitation. As a result, we still do not have a clear understanding of how the nature of the excitation influences the output power, or what role stiffness nonlinearities play in the transduction of energy harvesters under random excitations. To fill this gap in the current knowledge, this thesis investigates the response of nonlinear mono- and bi-stable energy harvesters to environmental excitations that can be approximated via a white noise process. For the mono-stable case, statistical linearization is utilized to analytically approximate the statistical averages of the response. The influence of the nonlinearity and the symmetry of the restoring force on the mean power is investigated under optimal electric loading conditions. It is shown that the nonlinearity has no influence on the output power unless the ratio between the time constant of the harvesting circuit and the period of the mechanical oscillator is small. In such case, a mono-stable harvester with a symmetric nonlinear restoring force can never produce higher mean power levels than an equivalent linear harvester regardless of the magnitude or nature of the nonlinearity. On the other hand, asymmetries in the restoring force are shown to provide performance improvements over an equivalent linear harvester. For energy harvesters with a bi-stable potential function, statistical linearization, direct numerical integration of the stochastic differential equations, and finite element solution of the Fokker-Plank-Kolmogorov equation governing the response probability density function are utilized to understand how the shape and symmetry of the potential energy function influence the mean output power of the harvester. It is observed that, both of the finite element solution and the direct numerical integration provide close predictions for the mean power regardless of the shape of the potential energy function. Statistical linearization, on the other hand, yields non-unique and erroneous predictions unless the potential energy function has shallow potential wells. It is shown that the mean power exhibits a maximum value at an optimal potential shape. This optimal shape is not directly related to the shape that maximizes the mean square displacement even when the time constant ratio, i.e., ratio between the time constants of the mechanical and electrical systems is small. Maximizing the mean square displacement yields a potential shape with a global maximum (unstable potential) for any value of the time constant ratio and any noise intensity, whereas maximizing the average power yields a bi-stable potential which possesses deeper potential wells for larger noise intensities and vise versa. Away from the optimal shape, the mean power drops significantly highlighting the importance of characterizing the noise intensity of the vibration source prior to designing a bi-stable harvester for the purpose of harnessing energy from white noise excitations. Furthermore, it is demonstrated that, the optimal time constant ratio is not necessarily small which challenges previous conceptions that a bi-stable harvester provides better output power when the time constant ratio is small. While maximum variation of the mean power with the nonlinearity occurs for smaller values of the time constant ratio, these values do not necessarily correspond to the optimal performance of the harvester. Finally, it is shown that asymmetries in the potential shape of bi-stable harvesters do not improve the mean power unless the symmetric potential function is designed away from its optimal parameters

Energy Harvesting-Aware Design for Wireless Nanonetworks

Nanotechnology advancement promises to enable a new era of computing and communication devices by shifting micro scale chip design to nano scale chip design. Nanonetworks are envisioned as artifacts of nanotechnology in the domain of networking and communication. These networks will consist of nodes of nanometer to micrometer in size, with a communication range up to 1 meter. These nodes could be used in various biomedical, industrial, and environmental monitoring applications, where a nanoscale level of sensing, monitoring, control and communication is required. The special characteristics of nanonetworks require the revisiting of network design. More specifically, nanoscale limitations, new paradigms of THz communication, and power supply via energy harvesting are the main issues that are not included in traditional network design methods. In this regard, this dissertation investigates and develops some solutions in the realization of nanonetworks. Particularly, the following major solutions are investigated. (I) The energy harvesting and energy consumption processes are modeled and evaluated simultaneously. This model includes the stochastic nature of energy arrival as well as the pulse-based communication model for energy consumption. The model identifies the effect of various parameters in this joint process. (II) Next, an optimization problem is developed to find the best combination of these parameters. Specifically, optimum values for packet size, code weight, and repetition are found in order to minimize the energy consumption while satisfying some application requirements (i.e., delay and reliability). (III) An optimum policy for energy consumption to achieve the maximum utilization of harvested energy is developed. The goal of this scheme is to take advantage of available harvested energy as much as possible while satisfying defined performance metrics. (IV) A communication scheme that tries to maximize the data throughput via a distributed and scalable coordination while avoiding the collision among neighbors is the last problem to be investigated. The goal is to design an energy harvesting-aware and distributed mechanism that could coordinate data transmission among neighbors. (V) Finally, all these solutions are combined together to create a data link layer model for nanonodes. We believe resolving these issues could be the first step towards an energy harvesting-aware network design for wireless nanosensor networks

Exploiting the Principal Parametric Resonance of an RLC Circuit for Vibratory Energy Harvesting

The use of ambient energy sources to independently power small electronic devices, a process commonly known as energy harvesting, has recently become a focus of research due to advances in low-power electronic applications. A particular class of energy harvesting devices, known as vibratory energy harvesters (VEHs), utilizes low-level vibrations present in numerous natural and man-made environments to generate electrical energy for electronic devices. This work investigates the use of a new technique to harvest energy from ambient vibrations by parametrically exciting a resonance condition of the electric current in a nonlinear oscillating circuit. To accomplish this parametric resonance phenomenon, we consider an electromechanical coupling device, an oscillating cantilever beam with a ferromagnetic tip mass, which changes the permeability of an iron-alloy cored inductor coil to produce a harmonically-varying modulation of the inductance. Such a type of harvester possesses the potential to generate large amplitude System response that is not limited by the linear damping of the system, as is the case with directly-excited systems, but rather whose behavior is governed by the nonlinearity of the system. In order to study the ability of such an energy harvesting system to generate electricity when subject to external vibrations, we develop a second-order differential equation to model the theoretical dynamic behavior of a parametrically-driven nonlinear circuit. Due to the complexity of the nonlinear and harmonically-varying components of the governing equation, we use the Method of Multiple Scales to derive an approximate analytical solution for the steady-state current response and output power of the circuit near the principal parametric resonant frequency. We show that the relationship of parameter modulation depth and load resistance characterize the bandwidth of the response and define a critical forcing threshold, below which no energy is harvested. The harvested power is maximized when the load resistance is half of the maximum load resistance at which the critical threshold is still achieved for a given forcing level. We also demonstrate the need for nonlinear damping in the system to attenuate the growth of the response to a physically attainable level. We show the dependence of the natural frequency of the circuit on the parametric forcing parameter, which can lead detuning of the system at different forcing levels. An experimental set up is developed to test the assertions presented by the analytical model. Numerous parameter constraints are balanced in the experimental design in order to be able to achieve the critical forcing threshold necessary for exciting the parametric resonance condition. The frequency response behavior of the electrical current and load power in the circuit is observed by varying the natural frequency of the system, which is compared against the variation of forcing frequency presented in the theoretical section. The beam is excited at its natural frequency of 85.8 Hz across input accelerations ranging from 1:1g – 1:5g. A maximum output power of 28.67 mW across an 8 Ω resistance is achieved at an input acceleration of 1:5g. The behavior of the experimental data is in good agreement with the findings of the theoretical model with respect to the bandwidth, nonlinear behavior, and sensitivity to forcing and damping parameters. The analytical model under predicts the peak power measured experimentally, but the general trend is well modeled. Furthermore, several key observations are noted during the experimental procedures, notably the effects of eddy current damping on the behavior of the response and the development of quasiperiodic solutions near the saddle node bifurcation point

Universal Transceivers: Opportunities and Future Directions for the Internet of Everything (IoE)

The Internet of Everything (IoE) is a recently introduced information and communication technology (ICT) framework promising for extending the human connectivity to the entire universe, which itself can be regarded as a natural IoE, an interconnected network of everything we perceive. The countless number of opportunities that can be enabled by IoE through a blend of heterogeneous ICT technologies across different scales and environments and a seamless interface with the natural IoE impose several fundamental challenges, such as interoperability, ubiquitous connectivity, energy efficiency, and miniaturization. The key to address these challenges is to advance our communication technology to match the multi-scale, multi-modal, and dynamic features of the natural IoE. To this end, we introduce a new communication device concept, namely the universal IoE transceiver, that encompasses transceiver architectures that are characterized by multi-modality in communication (with modalities such as molecular, RF/THz, optical and acoustic) and in energy harvesting (with modalities such as mechanical, solar, biochemical), modularity, tunability, and scalability. Focusing on these fundamental traits, we provide an overview of the opportunities that can be opened up by micro/nanoscale universal transceiver architectures towards realizing the IoE applications. We also discuss the most pressing challenges in implementing such transceivers and briefly review the open research directions. Our discussion is particularly focused on the opportunities and challenges pertaining to the IoE physical layer, which can enable the efficient and effective design of higher-level techniques. We believe that such universal transceivers can pave the way for seamless connection and communication with the universe at a deeper level and pioneer the construction of the forthcoming IoE landscape

Semiconductor Nanowire Based Piezoelectric Energy Harvesters: Modeling, Fabrication, and Characterization

Semiconductor nanowire (NW) arrays’ unique advantages over bulk forms, including enhanced surface area, high mechanical flexibility, high sensitivity to small forces, better charge collection, and enhanced light absorption through trapping, make them ideal templates on which to build other structures. This research on the piezoelectric behavior of NWs used in high-performance energy harvesters is based on device modeling, fabrication, and characterization. These activities optimize the electrical properties of a NW device in response to a compression/release force applied to the NWs. The dissertation first discusses the piezoelectric and semiconductor properties of wurtzite compound nanomaterials, emphasizing III-nitride semiconducting InN and GaN NWs. Static analysis identifies the role of carrier density, temperature, force, length/diameter ratio, and Schottky barrier height. Piezoelectric nanogenerators (NGs) based on vertically aligned InN nanowires (NWs) are fabricated, characterized, and evaluated. In these NGs, arrays of exclusively either p-type or intrinsic InN NWs prepared by plasma-assisted molecular beam epitaxy (MBE) demonstrate similar average piezoelectric properties. The p-type NGs show 160% more output current and 70% more output power product than the intrinsic NGs. The features driving performance enhancement are reduced electrostatic losses due to a higher NW areal density and longer NWs, and improved electromechanical energy conversion efficiency due to smaller NW diameters. These findings highlight the potential of InN based NGs as a power source for self-powered systems and the importance of NW morphology in overall NG performance. The second part is devoted to demonstrate a series of flexible transparent ZnO p-n homojunction nanowire (NW)-based piezoelectric nanogenerators (NGs) with different p-doping concentrations. The lithium-doped segments are grown directly and consecutively on top of intrinsic nanowires (n-type). When characterized under cyclic compressive strains, the overall NG performance is enhanced by up to eleven-fold if the doping concentration is properly controlled. This improvement is attributable to reduction in the mobile charge screening effect and optimization of the NGs’ internal electrical characteristics. Experimental results also show that an interfacial MoO3 barrier layer, at an optimized thickness of 5-10 nm, reduces leakage current and substantially improves piezoelectric NG performance. The third part presents the first cascade-type compact hybrid energy cell (CHEC) that is capable of simultaneously or individually harvesting solar and strain energies. It is made of an n-p junction NW-based piezoelectric nanogenerator to harvest strain energy and an nc/a-Si:H single junction cell to harvest solar energy. The CHECs ability to harvest energy effectively simultaneously, and complementary is demonstrated by deploying six CHECs to power LEDs and a wireless strain gauge sensor node. Under ~10 mW/cm2 illumination and vibrations of 3 m/s2 at 3 Hz frequency, the output current and voltage from a single 1.0 cm2 CHEC are 280 μA and 3.0 V, respectively; enough to drive many low power commercial electronics. This dissertation aims to deepen understanding of the piezoelectric behavior of semiconductor NWs on hard and flexible substrates. Thus, this research in the field of nanopiezoelectrics could have a substantial impact on many areas, ranging from the fundamental study of new nanomaterial properties and mechanical effects in nanostructures to diverse applications like aerospace

Rectification, amplification and switching capabilities for energy harvesting systems: power management circuit for piezoelectric energy harvester

Dissertação de mestrado em Biomedical EngineeringA new energy mechanism needs to be addressed to overcome the battery dependency, and consequently extend Wireless Sensor Nodes (WSN) lifetime effectively. Energy Harvesting is a promising technology that can fulfill that premise. This work consists of the realization of circuit components employable in a management system for a piezoelectric-based energy harvester, with low power consumption and high efficiency. The implementation of energy harvesting systems is necessary to power-up front-end applications without any battery. The input power and voltage levels generated by the piezoelectric transducer are relatively low, especially in small-scale systems, as such extra care has to be taken in power consumption and efficiency of the circuits. The main contribution of this work is a system capable of amplifying, rectifying and switching the unstable signal from an energy harvester source. The circuit components are designed based on 0.13 Complementary Metal-Oxide-Semiconductor (CMOS) technology. An analog switch, capable of driving the harvesting circuit at a frequency between 1 and 1 , with proper temperature behaviour, is designed and verified. An OFF resistance of 520.6 Ω and isolation of −111.24 , grant excellent isolation to the circuit. The designed voltage amplifier is capable of amplifying a minor signal with a gain of 42.56 , while requiring low power consumption. The output signal is satisfactorily amplified with a reduced offset voltage of 8 . A new architecture of a two-stage active rectifier is proposed. The power conversion efficiency is 40.4%, with a voltage efficiency of up to 90%. Low power consumption of 17.7 is achieved by the rectifier, with the embedded comparator consuming 113.9 . The outcomes validate the circuit’s power demands, which can be used for other similar applications in biomedical, industrial, and commercial fields.Para combater a dependência dos dispositivos eletrónicos relativamente ás baterias é necessário um novo sistema energético, que permita prolongar o tempo de vida útil dos mesmos. Energy Harvesting é uma tecnologia promissora utilizada para alimentar dispositivos sem bateria. Este trabalho consiste na realização de componentes empregáveis num circuito global para extrair energia a partir ds vibrações de um piezoelétricos com baixo consumo de energia e alta eficiência. Os níveis de potência e voltagem gerados pelo transdutor piezoelétrico são relativamente baixos, especialmente em sistemas de pequena escala, por isso requerem cuidado extra relativamente ao consumo de energia e eficiência dos circuitos. A principal contribuição deste trabalho é um sistema apropriado para amplificar, retificar e alternar o sinal instável proveniente de uma fonte de energy harvesting. Os componentes do sistema são implementados com base na tecnologia CMOS com 0.13 . Um interruptor analógico capaz de modelar a frequência do sinal entre 1 e 1 e estável perante variações de temperatura, é implementado. O circuito tem um excelente isolamento de −111.24 , devido a uma resistência OFF de 520.6 Ω. O amplificador implementado é apto a amplificar um pequeno sinal com um ganho de 42.56 e baixo consumo. O sinal de saída é satisfatoriamente amplificado com uma voltagem de offset de 8 . Um retificador ativo de dois estágios com uma nova arquitetura é proposto. A eficiência de conversão de energia atinge os 40.4%, com uma eficiência de voltagem até 90%. O retificador consome pouca energia, apenas 17.7 , incorporando um comparador de 113.9 . Os resultados validam as exigências energéticas do circuito, que pode ser usado para outras aplicações similares no campo biomédico, industrial e comercial

Novel Configurations of Ionic Polymer-Metal Composites (IPMCs) As Sensors, Actuators, and Energy Harvesters

This dissertation starts with describing the IPMC and defining its chemical structure and fundamental characteristics in Chapter 1. The application of these materials in the form of actuator, sensor, and energy harvester are reported through a literature review in Chapter 2. The literature review involves some electromechanical modeling approaches toward physics of the IPMC as well as some of the experimental results and test reports. This chapter also includes a short description of the manufacturing process of the IPMC. Chapter 3 presents the mechanical modeling of IPMC in actuation. For modeling, shear deformation expected not to be significant. Hence, the Euler-Bernoulli beam theory considered to be the approach defining the shape and critical points of the proposed IPMC elements. Description of modeling of IPMC in sensing mode is in Chapter 4. Since the material undergoes large deformation, large beam deformation is considered for both actuation and sensing model. Basic configurations of IPMC as sensor and actuator are introduced in Chapter 5. These basic configurations, based on a systematic approach, generate a large number of possible configurations. Based on the presented mechanisms, some parameters can be defined, but the selection of a proper arrangement remained as an unknown parameter. This mater is addressed by introducing a decision-making algorithm. A series of design for slit cylindrical/tubular/helical IPMC actuators and sensors are introduced in chapter 5. A consideration related to twisting of IPMCs in helical formations is reported through some experiments. Combinations of these IPMC actuators and sensors can be made to make biomimetic robotic devices as some of them are discussed in this chapter and the following Chapters 6 and 7. Another set of IPMC actuator/sensor configurations are introduced as a loop sensor and actuator that are presented subsequently in Chapter 6. These configurations may serve as haptic and tactile feedback sensors, particularly for robotic surgery. Both of these configurations (loop and slit cylindrical) of IPMCs are discussed in details, and some experimental measurements and results are also carried out and reported. The model for different inputs is studied, and report of the feedback is presented. Various designs of these configurations of IPMC are also presented in chapter 7, including their extension to mechanical metamaterials and soft robots