Scientists from RMIT University in Melbourne, Australia, have developed a cost-efficient and scalable method for rapidly fabricating textiles that are embedded with energy storage devices. The team reports that in just three minutes, the method can produce a 10x10cm smart textile patch that's waterproof, stretchable and readily integrated with energy technologies like graphene supercapacitors, laser printed directly onto the textiles.
As a proof-of-concept, the researchers connected the supercapacitor with a solar cell, delivering an efficient, washable and self-powering smart fabric that overcomes the key drawbacks of existing e-textile energy storage technologies.
Dr. Litty Thekkakara, a researcher in RMIT's School of Science, said smart textiles with built-in sensing, wireless communication or health monitoring technology called for robust and reliable energy solutions. "Current approaches to smart textile energy storage, like stitching batteries into garments or using e-fibres, can be cumbersome and heavy, and can also have capacity issues," Thekkakara said.
"These electronic components can also suffer short-circuits and mechanical failure when they come into contact with sweat or with moisture from the environment... Our graphene-based supercapacitor is not only fully washable, it can store the energy needed to power an intelligent garment - and it can be made in minutes at large scale".
The research analyzed the performance of the proof-of-concept smart textile across a range of mechanical, temperature and washability tests and found it remained stable and efficient.
RMIT Honorary Professor and Distinguished Professor at the University of Shanghai for Science and Technology, Min Gu, said the technology could enable real-time storage of renewable energies for e-textiles. "It also opens the possibility for faster roll-to-roll fabrication, with the use of advanced laser printing based on multifocal fabrication and machine learning techniques," Gu said.
The researchers have applied for a patent for the new technology, which was developed with support from RMIT Seed Fund and Design Hub project grants.