In this paper an extensive literature review on an optimization of fuzzy logic maximum power point tracking (MPPT) method applied PV systems and PI control as charge controllers. The fuzzy logic MPPT techniques have gained recognition as a promising solution due to its simple design, high accuracy, adaptability and robustness under varying operating condition. The objective of this review is to enhance efficiency, reduce charging time, ensure the provision of appropriate current and voltage for battery charging. The problem discusses in a row first a formed PV panel which produces more energy under varying environmental condition, second a pre-eminent controller which is enough to charge the battery in bringing down time, third a leading converter for achieving efficient voltage regulation, safe and reliable battery charging. This examination suggested a highly efficient solar power generation using a fuzzy PI controller and SEPIC converter for charging a battery in a lesser time as compared to the existing system which gives validation for an improved performance of existing system. This provides higher power generation and durability and uses the fuzzy PI controller which provides a wide range of operating conditions and using the SEPIC converter, this shows no polarity reversal at output voltage due as the efficiency is also increased. Particularly, this occurs when integrated with the hybrid energy storage system involving batteries and supercapacitors. Optimization of fuzzy logic-based approaches is achieved by integrating them with a more advanced charging control. It brings forth hybrid approaches like combining metaheuristic algorithms with fuzzy logic to improve precision and adaptability of the proposed system. This review focuses on the development of more a responsive and adaptable MPPT methodology that optimizes the overall solar PV system charging performance.