Authors : Owuamanam Chrysantus .C.; Akpado Kenneth .A.; Ikpo kingsely .U.; Alagbu Ekene .E.; Okafor Chukwunenye .S.

Volume/Issue : Volume 8 - 2023, Issue 7 - July

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/4639f232

DOI : https://doi.org/10.5281/zenodo.8194882

Abstract : This study presented detailed design, implementation and testing of a prototype Fuzzy logic based Maximum Power Point Tracker (MPPT) charge controller embedded in an 8 bit PIC microcontroller to be used in a standalone Photovoltaic (PV) systems, which is able to monitor the power generated by the photovoltaic array and deliver the maximum amount into charging a lead acid battery under varying atmospheric conditions, while simultaneously monitoring the battery state of charge and ensuring efficient solar to battery power transfer. Prototyping methodology was adopted in this work for speedy development. Physical model is implemented and tested to demonstrate the concept of a fuzzy logic based Maximum Power Point Tracking (MPPT) controller for Photovoltaic battery charging system. A 260W photovoltaic (PV) panel and 12V 50AH battery panel is used to carry out testing of the controller. Variations in solar irradiation resulted in a varying output power from the solar panel, hence varying battery charging power.It can be seen that the PV voltage was actively altered by the MPPT charge controller with corresponding changes in PV output current, so as to extract the maximum power available at the persisting solar irradiation. The result obtained showed that the fuzzy logic based MPPT is able to adjust the power point of the solar panel to match the prevailing solar irradiation, and the battery state of charge