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Design and Implementation of a Thermoelectric Energy Harvester with MPPT Algorithms and Supercapacitor
IEEE Latin America Transactions ( IF 1.3 ) Pub Date : 2021-05-05 , DOI: 10.1109/tla.2021.9423860
Jean Vega 1 , Jinmi Lezama 1
Affiliation  

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.

中文翻译:

具有MPPT算法和超级电容器的热电能量收集器的设计与实现

当前,传感器节点主要由电池供电,但是电池寿命有限。能量收集旨在延长传感器节点的寿命。该系统利用环境条件来使用或存储由换能器(例如热电发电机)收集的能量。在本文中,实现了一种基于Boost转换器的热电能量采集系统,该系统具有四种不同的最大功率点跟踪(MPPT)算法,可将能量存储在超级电容器中。测试了扰动和观察(PO),增量电导(INC),开路电压(OCV)和短路电流(SCC)算法,以改进设计的电路。最终,OCV算法成为超级电容器充电最快的算法。
更新日期:2021-05-07
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