Piezoelectric Vibration-Based Energy Harvesting Enhancement Exploiting Nonsmoothness
Autor: | Rodrigo Ai, Paulo Cesar da Camara Monteiro, Pedro Manuel Calas Lopes Pacheco, Luciana Loureiro da Silva Monteiro, Marcelo A. Savi |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
energy harvesting
Control and Optimization Maximum power principle Computer science 02 engineering and technology nonlinear dynamics Narrowband 0203 mechanical engineering Control theory lcsh:TK1001-1841 lcsh:TA401-492 piezoelectricity Bandwidth (signal processing) 021001 nanoscience & nanotechnology nonsmooth systems System dynamics Vibration lcsh:Production of electric energy or power. Powerplants. Central stations Nonlinear system 020303 mechanical engineering & transports Control and Systems Engineering impact lcsh:Materials of engineering and construction. Mechanics of materials vibration 0210 nano-technology Actuator Energy harvesting |
Zdroj: | Actuators, Vol 8, Iss 1, p 25 (2019) Actuators Volume 8 Issue 1 |
ISSN: | 2076-0825 |
Popis: | Piezoelectric vibration-based energy harvesting systems have been used as an interesting alternative power source for actuators and portable devices. These systems have an inherent disadvantage when operating in linear conditions, presenting a maximum power output by matching their resonance frequencies with the ambient source frequencies. Based on that, there is a significant reduction of the output power due to small frequency deviations, resulting in a narrowband harvester system. Nonlinearities have been shown to play an important role in enhancing the harvesting capacity. This work deals with the use of nonsmooth nonlinearities to obtain a broadband harvesting system. A numerical investigation is undertaken considering a single-degree-of-freedom model with a mechanical end-stop. The results show that impacts can strongly modify the system dynamics, resulting in an increased broadband output power harvesting performance and introducing nonlinear effects as dynamical jumps. Nonsmoothness can increase the bandwidth of the harvesting system but, on the other hand, limits the energy capacity due to displacement constraints. A parametric analysis is carried out monitoring the energy capacity, and two main end-stop characteristics are explored: end-stop stiffness and gap. Dynamical analysis using proper nonlinear tools such as Poincaré maps, bifurcation diagrams, and phase spaces is performed together with the analysis of the device output power and efficiency. This offers a deep comprehension of the energy harvesting system, evaluating different possibilities related to complex behaviors such as dynamical jumps, bifurcations, and chaos. |
Databáze: | OpenAIRE |
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