Design and Implementation of a Thermoelectric Energy Harvester with MPPT Algorithms and Supercapacitor

Jean Vega; Jinmi Lezama

doi:10.1109/TLA.2021.9423860

Design and Implementation of a Thermoelectric Energy Harvester with MPPT Algorithms and Supercapacitor

Jean Vega, Jinmi Lezama

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Sensor nodes currently are principally powered by batteries, however batteries life are finite. Energy harvesting aims to increase the lifetime of sensor nodes. This system takes advantage of environmental conditions in order to use or store the energy harvested by transducers, such as thermoelectric generators. In this paper, a thermoelectric energy harvesting system based in a Boost converter with four different maximum power point tracking (MPPT) algorithms that store energy in a supercapacitor is implemented. Perturb and Observe (PO), Incremental Conductance (INC), Open Circuit Voltage (OCV) and Short Circuit Current (SCC) algorithms were tested to improve the designed circuit. Finally, OCV algorithm resulted being the fastest to charge the supercapacitor.

Original language	English
Article number	9423860
Pages (from-to)	163-170
Number of pages	8
Journal	IEEE Latin America Transactions
Volume	19
Issue number	1
DOIs	https://doi.org/10.1109/TLA.2021.9423860
State	Published - Jan 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2003-2012 IEEE.

Keywords

Boost converter
MPPT
Supercapacitor
TEG

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10.1109/TLA.2021.9423860

Cite this

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abstract = "Sensor nodes currently are principally powered by batteries, however batteries life are finite. Energy harvesting aims to increase the lifetime of sensor nodes. This system takes advantage of environmental conditions in order to use or store the energy harvested by transducers, such as thermoelectric generators. In this paper, a thermoelectric energy harvesting system based in a Boost converter with four different maximum power point tracking (MPPT) algorithms that store energy in a supercapacitor is implemented. Perturb and Observe (PO), Incremental Conductance (INC), Open Circuit Voltage (OCV) and Short Circuit Current (SCC) algorithms were tested to improve the designed circuit. Finally, OCV algorithm resulted being the fastest to charge the supercapacitor.",

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AB - Sensor nodes currently are principally powered by batteries, however batteries life are finite. Energy harvesting aims to increase the lifetime of sensor nodes. This system takes advantage of environmental conditions in order to use or store the energy harvested by transducers, such as thermoelectric generators. In this paper, a thermoelectric energy harvesting system based in a Boost converter with four different maximum power point tracking (MPPT) algorithms that store energy in a supercapacitor is implemented. Perturb and Observe (PO), Incremental Conductance (INC), Open Circuit Voltage (OCV) and Short Circuit Current (SCC) algorithms were tested to improve the designed circuit. Finally, OCV algorithm resulted being the fastest to charge the supercapacitor.

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Design and Implementation of a Thermoelectric Energy Harvester with MPPT Algorithms and Supercapacitor

Abstract

Bibliographical note

Keywords

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