Bagci F.SKATHERINE ANN KIM2022-04-252022-04-252021https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114213826&doi=10.1109%2fECCE-Asia49820.2021.9479155&partnerID=40&md5=7b282c00e08189df1520916808b7667chttps://scholars.lib.ntu.edu.tw/handle/123456789/607234For low-power photovoltaic (PV) energy harvesting applications, high tracking efficiency of the maximum power point (MPP) and low losses in the power converter are crucial to maximize output power. A burst-mode maximum power point tracking (MPPT) algorithm is proposed that actively tracks the PV MPP while only switching a fraction of the time. High switching frequency of the dc-dc converter controlling the PV allows for smaller passive components, while burst mode operation reduces overall switching losses. Simulation results of a PV panel and a dc-dc converter implementing the MPPT algorithm indicate 97% tracking efficiency. The simulation of a system with 3 PV panels and 3 converters with realistic irradiance profiles results in an average output power of 3.47 W, with an overall system efficiency of 89%. The viability of burst-mode control with a PV panel as the input source is corroborated through experimentation. ? 2021 IEEE.controlenergy harvestingmaximum power point trackingphotovoltaicswearablesEnergy harvestingMaximum power point trackersPhotovoltaic cellsSwitching frequencyTracking (position)Average output powerBurst-mode operationHigh switching frequenciesMaximum power pointMaximum Power Point TrackingMaximum Power Point Tracking algorithmsPhotovoltaic energyPhotovoltaic energy harvestingDC-DC converters[SDGs]SDG7conference paper10.1109/ECCE-Asia49820.2021.94791552-s2.0-85114213826