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
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