FLi-BMS: A Fuzzy Logic-based Intelligent Battery Management System for Smart Farm

• Main Authors: Magsumbol, Jo-Ann V., Rosales, Marife A., Concepcion, Ronnie, Bandala, Argel A., Sybingco, Edwin, Vicerra, Ryan Rhay P., Culaba, Alvin B., Dadios, Elmer P.
• Format: Conference Proceeding
• Language: English
• Subjects: agro-photovoltaic; Battery management systems; fuzzy logic; intelligent battery management system; Iron; Irrigation; lithium iron phosphate (LiFePO4); Machine vision; Power demand; PV systems; Smart agriculture; state of charge; sustainable agriculture; System performance
• ISSN: 2770-0682
• DOI: 10.1109/HNICEM57413.2022.10109388

Intelligent battery management system in a smart farm has a very significant role for energy management. It gives the energy demand status of the entire farm, the available energy produced by the PV system, and the energy stored in the batteries. However, it is important that energy monitoring system to be efficient, most especially in optimizing the distribution of the available harvested energy. Also, since the loads will come from various systems such as aquaponics, vision system, irrigation system and communication systems, efficient system is a necessity. Therefore, it is necessary to have an intelligent monitoring system that will acquire all the possible energy demands of each respective system loads. With the aid of smart farming technology, accurate energy monitoring and distribution is made possible. To properly manage the use of energy harvested for smart farm system loads, this study discusses the design of a fuzzy logic-based intelligent battery management monitoring system (FLi-BMS) to optimize the energy distribution to several loads in the smart farm.