Novel self-biasing circuit for dielectric elastomer generator and its parameter optimization

In order to solve the problem that a dielectric elastomer generator (DEG) requires an external high voltage bias supply to improve the autonomy and security of the power generation system so that it could adapt to a changeable environment, and to improve the efficiency of power generation, based on...

Full description

Bibliographic Details
Main Authors: Jian-Bo Cao, Meng Lan, Shi-Ju E, Zhao Gao, Han-Pin Luo, Xiao-Mei Li, Xin Pan
Format: Article
Language:English
Published: AIP Publishing LLC 2019-11-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.5123756
id doaj-265b1e11ad8042b7a6f05dea85c90a3e
record_format Article
spelling doaj-265b1e11ad8042b7a6f05dea85c90a3e2020-11-25T02:16:41ZengAIP Publishing LLCAIP Advances2158-32262019-11-01911115112115112-1010.1063/1.5123756Novel self-biasing circuit for dielectric elastomer generator and its parameter optimizationJian-Bo Cao0Meng Lan1Shi-Ju E2Zhao Gao3Han-Pin Luo4Xiao-Mei Li5Xin Pan6College of Engineering, Zhejiang Normal University, Jinhua, Zhejiang 321004, People’s Republic of ChinaCollege of Engineering, Zhejiang Normal University, Jinhua, Zhejiang 321004, People’s Republic of ChinaCollege of Engineering, Zhejiang Normal University, Jinhua, Zhejiang 321004, People’s Republic of ChinaCollege of Engineering, Zhejiang Normal University, Jinhua, Zhejiang 321004, People’s Republic of ChinaCollege of Engineering, Zhejiang Normal University, Jinhua, Zhejiang 321004, People’s Republic of ChinaXingzhi College, Zhejiang Normal University, Jinhua, Zhejiang 321004, People’s Republic of ChinaLibrary, Zhejiang Normal University, Jinhua, Zhejiang 321004, People’s Republic of ChinaIn order to solve the problem that a dielectric elastomer generator (DEG) requires an external high voltage bias supply to improve the autonomy and security of the power generation system so that it could adapt to a changeable environment, and to improve the efficiency of power generation, based on the simulation research and analysis of three traditional self-biasing circuits, a new self-biasing circuit integrated with a self-supplementary circuit has been proposed in this paper. Under the same input conditions, the maximum output potential of the new self-biasing circuit is 2.23 times that of the traditional circuit. The pumping capability of the self-biasing circuit is greatly improved. At the same time, based on this circuit, in order to explore the factors affecting the energy conversion of the DEG, the overall electromechanical parameters of the circuit are compared and optimized by simulation experiments in this paper. The simulation and experimental results show that the capacitance-to-strain ratio of DEG and the mechanical frequency should be as large as possible within the safe range to obtain larger output potential, and the capacitance of charge pump should be 0.75 times of the capacitance of DEG in the initial state to improve efficiency.http://dx.doi.org/10.1063/1.5123756
collection DOAJ
language English
format Article
sources DOAJ
author Jian-Bo Cao
Meng Lan
Shi-Ju E
Zhao Gao
Han-Pin Luo
Xiao-Mei Li
Xin Pan
spellingShingle Jian-Bo Cao
Meng Lan
Shi-Ju E
Zhao Gao
Han-Pin Luo
Xiao-Mei Li
Xin Pan
Novel self-biasing circuit for dielectric elastomer generator and its parameter optimization
AIP Advances
author_facet Jian-Bo Cao
Meng Lan
Shi-Ju E
Zhao Gao
Han-Pin Luo
Xiao-Mei Li
Xin Pan
author_sort Jian-Bo Cao
title Novel self-biasing circuit for dielectric elastomer generator and its parameter optimization
title_short Novel self-biasing circuit for dielectric elastomer generator and its parameter optimization
title_full Novel self-biasing circuit for dielectric elastomer generator and its parameter optimization
title_fullStr Novel self-biasing circuit for dielectric elastomer generator and its parameter optimization
title_full_unstemmed Novel self-biasing circuit for dielectric elastomer generator and its parameter optimization
title_sort novel self-biasing circuit for dielectric elastomer generator and its parameter optimization
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2019-11-01
description In order to solve the problem that a dielectric elastomer generator (DEG) requires an external high voltage bias supply to improve the autonomy and security of the power generation system so that it could adapt to a changeable environment, and to improve the efficiency of power generation, based on the simulation research and analysis of three traditional self-biasing circuits, a new self-biasing circuit integrated with a self-supplementary circuit has been proposed in this paper. Under the same input conditions, the maximum output potential of the new self-biasing circuit is 2.23 times that of the traditional circuit. The pumping capability of the self-biasing circuit is greatly improved. At the same time, based on this circuit, in order to explore the factors affecting the energy conversion of the DEG, the overall electromechanical parameters of the circuit are compared and optimized by simulation experiments in this paper. The simulation and experimental results show that the capacitance-to-strain ratio of DEG and the mechanical frequency should be as large as possible within the safe range to obtain larger output potential, and the capacitance of charge pump should be 0.75 times of the capacitance of DEG in the initial state to improve efficiency.
url http://dx.doi.org/10.1063/1.5123756
work_keys_str_mv AT jianbocao novelselfbiasingcircuitfordielectricelastomergeneratoranditsparameteroptimization
AT menglan novelselfbiasingcircuitfordielectricelastomergeneratoranditsparameteroptimization
AT shijue novelselfbiasingcircuitfordielectricelastomergeneratoranditsparameteroptimization
AT zhaogao novelselfbiasingcircuitfordielectricelastomergeneratoranditsparameteroptimization
AT hanpinluo novelselfbiasingcircuitfordielectricelastomergeneratoranditsparameteroptimization
AT xiaomeili novelselfbiasingcircuitfordielectricelastomergeneratoranditsparameteroptimization
AT xinpan novelselfbiasingcircuitfordielectricelastomergeneratoranditsparameteroptimization
_version_ 1724889730634481664