Project description
New technology for smart e-fabrics without batteries
E-textiles or smart fabrics are a new trend. These fabrics enable digital components such as battery or lights or other electronics to be embedded in them but a key consideration is the need for a power supply. A major difficulty in the production of an e-textile is the fact that power supply units are usually not lightweight and discrete enough. The EU-funded Powering_eTextiles project proposes to research the possibility of engaging new technologies to develop ink-jet printed energy storage devices, based on two-dimensional nanosheets. This will make smart fabrics’ production cheaper and scalable. It will also improve the special effects and final quality of fabrics.
Objective
The aim of this proposal is to determine the economic and technical feasibility of using readily scalable technologies for the
development of inexpensive and high-performance ink-jet printed, energy storage devices based on two- dimensional
nanosheets for smart wearables and textile-electronics. The realization of gesture control through e-textiles requires highly
integrated sensors, which sets higher requirements for the formation of electrode patterns and power supply. In all these
cases, a power supply is needed - which is usually the bottleneck in the development of smart textiles, since common power
supplies are not flexible and often not lightweight, prohibiting their unobtrusive integration in electronic textiles. The
development of such e-textiles is hugely shadowed by its power supply as a traditional battery is a burden for light,
convenient smart-textiles.
We believe that our combination of unique material properties and cost effective, robust and production-scalable process of
ink-jet printing will enable us to compete for significant global market opportunities in the energy-storage space for e-textiles.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Funding Scheme
ERC-POC-LS - ERC Proof of Concept Lump Sum PilotHost institution
D02 CX56 Dublin
Ireland