Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89134
Title: Capacitive energy harvesting using soft dielectric elastomers : design, testing and impedance matching optimization
Authors: Wang, Yongquan
Zhu, Liangquan
Zhang, Gong
Zhong, Lincheng
Chen, Hualing
Keywords: Dielectrics
Energy Harvesting
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Wang, Y., Zhu, L., Zhang, G., Zhong, L., & Chen, H. (2018). Capacitive energy harvesting using soft dielectric elastomers : design, testing and impedance matching optimization. AIP Advances, 8(8), 085310-. doi:10.1063/1.5041490
Series/Report no.: AIP Advances
Abstract: Energy harvesting based on dielectric elastomeric materials, in nature, embodies a capacitive kinetic energy conversion mechanism where the soft DE generator (DEG) interactively cooperates with conditioning circuits. Based on the principle of passive charge pump, this paper proposes a design concept for a self-cycling energy harvesting circuit driven by DEG cyclic deformation, with its essential behavioral mode laid on the electrical reciprocity between the DEG intrinsic capacitor and another capacitor connected in series. By detailed simulation experiments, the working process and dynamic characteristics of the proposed system, as well as the influence of circuital, operating, and load parameters on system performance are quantitatively investigated, with intensive discussions for the time delay behaviors caused by changes of load resistance, along with the different impacts of its value regions. Then, the theoretical analyses are effectively validated by experimental tests for a specially-designed annular DEG prototype. Under the global optimization framework based on impedance matching, this paper presents some guidelines for circuit design, e.g., the selection criteria of the capacitance and load resistance. In addition, the potential of this emerging technology is also demonstrated by experiments.
URI: https://hdl.handle.net/10356/89134
http://hdl.handle.net/10220/46128
DOI: 10.1063/1.5041490
Rights: © 2018 The Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). https://doi.org/10.1063/1.5041490
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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