Self-sensing for robust automatic charge management of dielectric elastomer generators

Plinio Rodrigues De Oliveira Zanini, Gianluca Rizzello, Stefan Seelecke, Jonathan Rossiter, Martin Homer

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
276 Downloads (Pure)


Among the main issues with the implementation of Dielectric Elastomer Generators (DEGs) is the need for pre-charging to perform mechanical-to-electrical energy conversion. In cases when energy harvesting has to be performed in an environment with unpredictable characteristics (e.g., wind, waves, human walking), defining the best times for charge injection and energy extraction in a cycle is a non-trivial problem. In this paper, we present a novel Self-Sensing with Peak Detection (SSPD) method to control the charges on the material using capacitive self-sensing techniques, which defines an optimal cycle and requires no knowledge of the mechanical excitation amplitude or frequency. The effectiveness of the approach is proved by means of numerical simulations based on an highly accurate model of the DEG device.
Original languageEnglish
Title of host publicationElectroactive Polymer Actuators and Devices (EAPAD) XX
Subtitle of host publicationProceedings of a meeting held 5-8 March 2018, Denver, Colorado, USA. At SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring
PublisherSociety of Photo-Optical Instrumentation Engineers (SPIE)
ISBN (Electronic)9781510616851
ISBN (Print)9781510616844
Publication statusPublished - 27 Mar 2018

Publication series

NameProceedings of SPIE
PublisherSociety of Photo-optical Instrumentation Engineers
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Structured keywords

  • Tactile Action Perception
  • Engineering Mathematics Research Group


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