Artificial Intelligence-based Energy Harvesting System for Thermoelectric Generator

Abstract

This article suggests using intelligent control to track the maximum power point of a Thermoelectric Generator (TEG) as the conditions change, with varying temperature and load. This technique uses a Fuzzy Logic Controller (FLC) in conjunction with a SEPIC converter device. The various stages of this controller's design, as well as its simulation, are presented. The obtained results prove the FLC and MPPT can reduce fluctuations in output parameters and have a quick response for electrical load against variations of hot side temperature and load.