The proposed energy harvesting system intends to harvest vibrational energy via an electromagnetic generator (EMG). The proposed circuit intends to extract maximum power from the EMG by utilizing the maximum power transfer theorem which states that maximum power is transferred to the load when the source resistance equals the load resistance. The proposed circuit is a synchronous split-capacitor boost converter operating in boundary conduction mode (BCM) to achieve impedance matching and therefore maximum power transferred to the load. The circuit topology combines the rectifier and power stage to reduce power loss of the power management integrated circuit (PMIC).
The proposed circuit is designed and fabricated in 130 nm BiCMOS technology. The circuit is validated through schematic level simulations and post-layout simulations. The results conclude the proposed circuit and control operates in a manner to achieve BCM. / Master of Science / Tracking and monitoring systems and products has become more prevalent in our society. Consumers want to know when a package they ordered will arrive. Grocery stores would like to track a produce from harvest to the shelves, ensuring their produce is safe to eat. Produce should be kept around 0 °C and if it exceeds that anywhere during the supply chain, the store should be alerted.
Wireless sensor nodes (WSNs) are such devices that would be able to monitor the temperature of produce or the location of a package. These devices must be small, reliable, long-life and cost efficient. Using a battery to power WSNs is an inconvenience as the battery must be replaced often.
The proposed circuit enables a self-sufficient WSN that is compact, dependable, long-lasting and economical when deployed at large scale. The proposed circuit has been designed, fabricated and proven through simulations.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/85043 |
| Date | 18 September 2018 |
| Creators | Dancy, Alant'e Jaquan |
| Contributors | Electrical Engineering, Ha, Dong Sam, Li, Qiang, Sable, Daniel M. |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Thesis |
| Format | ETD, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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