Abstract
This paper presents three different techniques for efficiently powering an energy-autonomous wireless sensor (EAWS) through both energy harvesting (EH) and RF wireless power transfer (WPT). The aim of the paper is to provide effective strategies and techniques to reduce, as far as possible, the cost of wiring of the automotive production process due to the continuous and constant increase in the use of sensors. The techniques employ a highly integrated state-of-the-art, ultra-low power 2.5 µW system-on-chip (SoC) system, designed for multi-source RF wireless energy harvesting and power transfer and are designed with the goal of minimizing and, where possible, eliminating the costly maintenance required by conventional wireless sensors. Specific examples are reported that define both the aspects of convenience and the limits of use.
| Original language | English |
|---|---|
| Title of host publication | 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9788887237498 |
| Publication status | Published - 18 Nov 2020 |
| Externally published | Yes |
| Event | 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2020 - Torino, Italy Duration: 18 Nov 2020 → 20 Nov 2020 |
Publication series
| Name | 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2020 |
|---|
Conference
| Conference | 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2020 |
|---|---|
| Country/Territory | Italy |
| City | Torino |
| Period | 18/11/20 → 20/11/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Automotive
- Energy harvesting
- Lithium ion battery
- Radio frequency
- Wireless battery charger
- Wireless power transfer
- Wireless sensor networks
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