Research Article
Enhancing Battery Recharge Performance through an Intelligent MPPT for Photovoltaic Solar Panels
@INPROCEEDINGS{10.4108/eai.7-9-2021.2314808, author={Baqer Turki Atiyah and Naeib Faisal and Ali Idham Alzaidi}, title={Enhancing Battery Recharge Performance through an Intelligent MPPT for Photovoltaic Solar Panels }, proceedings={Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey}, publisher={EAI}, proceedings_a={IMDC-IST}, year={2022}, month={1}, keywords={pi-fuzzy control charge control pv panels mppt intelligent systems}, doi={10.4108/eai.7-9-2021.2314808} }- Baqer Turki Atiyah
Naeib Faisal
Ali Idham Alzaidi
Year: 2022
Enhancing Battery Recharge Performance through an Intelligent MPPT for Photovoltaic Solar Panels
IMDC-IST
EAI
DOI: 10.4108/eai.7-9-2021.2314808
Abstract
Fuzzy Logic MPPT (Maximum Power Point Tracking) is one of the most powerful boosting techniques for photovoltaic panels. One of the main challenges of a Photovoltaic Device enhanced with a fuzzy circuit control is the fact that it requires the photovoltaic panels to work at their maximum power point while having a high performance. In this study, an intelligent MPPT system is proposed that aims to enhance the performance of the recharge factor as well as decrease the resource spent to complete the task. To accomplish this, a fuzzy logic technique is proposed that uses a three-step charging factor. MATLAB SIMULINK is used to simulate and validate the results in a numerical experiment. Ultimately the results indicate that a three-step charge enhances the recharge factor and decreases the cost whilst improving the performance.
