Predicting energy harvesting performance of a random nonlinear dielectric elastomer pendulum
Peng Fan,
Liangquan Zhu,
Zicai Zhu,
Hualing Chen,
Wei Chen and
Hong Hu
Applied Energy, 2021, vol. 289, issue C, No S030626192100221X
Abstract:
This paper investigates the energy harvesting (EH) performance of a nonlinear dielectric elastomer pendulum (DEP) under the random narrowband excitation. The DEP that can convert the vibration energy into electrical energy consists of a dielectric elastomer membrane with a mass, which is similar to a spring pendulum. A dynamic analysis model of the nonlinear electromechanical coupling behavior of the DEP under the random narrowband excitation is developed. A prototype of the DEP is designed to evaluate the developed dynamic model, which shows the good agreement. On this basis, the stochastic dynamic behavior of the DEP is analyzed by changing the intensity, the power spectrum density, and the upper limiting frequency of the random narrowband excitation. The EH performance of the DEP under the random narrowband excitation is also studied for diverse system parameters, including the length of the dielectric elastomer membrane, the mass of the DEP, and the load resistance. The conclusions can help guide the design of the DEP in the random vibration environment to improve the EH performance.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626192100221X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:289:y:2021:i:c:s030626192100221x
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2021.116696
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().