Beeby, S., Arumugam, S., Hillier, N., Li, Y., Shi, J., Sun, Y., Wagih, M. and Yong, S. (2022) Power supply sources for smart textiles. In: McCann, J. and Bryson, D. (eds.) Smart Clothes and Wearable Technology. Series: The textile institute book series. Elsevier: Oxford. ISBN 9780128195260
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Abstract
No matter how well electronic circuits and systems can be integrated within a yarn or textile, the options for supplying electrical power are essentially limited to using traditional batteries attached in some manner to the fabric. Such batteries are incompatible with the nature and feel of a textile and must certainly be removed prior to machine washing. This chapter described techniques for harvesting energy and methods for storing energy that can be integrated within or on a textile. The energy harvesting approaches can exploit kinetic energy from movement and forces, thermal energy, solar energy, and wireless power transfer that captures radiated energy. Energy storage techniques include integrating supercapacitors (a device for storing energy electrostatically, suitable for fast charging high power applications) and batteries (devices that store energy electrochemically, slower charge rate but able to store more energy than a supercapacitor) within textiles. For both energy harvesting and energy storage, techniques have been demonstrated that use smart functional materials deposited onto a textile surface, impregnated within the textile, or used to make functional yarns that can be woven into the textile. Energy harvesting powered systems typically involve some form of compromise in their operation due to the constraints on the availability and magnitude of the harvested energy. The system electronics being powered should be designed to minimise unnecessary energy consumption and may employ strategies such as duty cycling (switching on and off depending upon the available energy) to achieve a complete system with a feasible energy supply.
| Item Type: | Book Sections |
|---|---|
| Status: | Published |
| Glasgow Author(s) Enlighten ID: | Wagih, Dr Mahmoud |
| Authors: | Beeby, S., Arumugam, S., Hillier, N., Li, Y., Shi, J., Sun, Y., Wagih, M., and Yong, S. |
| College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
| Publisher: | Elsevier |
| ISBN: | 9780128195260 |
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