Battery Modelling For A Photovoltaic System With Battery Management System Using Fuzzy Logic Controller
Shalom Irence L.B1, F.T. Josh2, Mrs. J. Jency Joseph3

1Shalom Irence L.B, IInd M.Tech, RET, KITS, Coimbatore (Tamil Nadu), India.
2Dr. F.T. Josh, Assistant Professor, Department of EEE, KITS, Coimbatore (Tamil Nadu), India.
3Mrs. J. Jency Joseph, Assistant Professor, Department of EEE, KITS, Coimbatore (Tamil Nadu), India.
Manuscript received on 22 May 2019 | Revised Manuscript received on 08 June 2019 | Manuscript Published on 15 June 2019 | PP: 335-339 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00790581S219/2019©BEIESP
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Abstract: The need for energy is increasing day by day. Energy production from conventional fuels reduces due to the lack of availability in fuel. Using fossil fuel and its gases also reduced due to the high occurrence of pollution. This point increased the demand for harvesting energy from non-conventional sources of energy such as solar, wind, etc. The abundant source of solar energy can be harvested to satisfy the growing energy demand on the various applications requirement. This paper focus on how solar energy is been harvested and stored for the continuous supply of energy to the required load demand. Mathematical modeling and design of a stand-alone PV system with maximum power point tracking (MPPT), boost converter and battery storage system with BMS is developed. BMS is a system which manages the battery to operate in its safe limits by continuous measuring of state of charge and the state of health. The fuzzy logic controller is included in the MATLAB Simulation environment for optimistic switching of charging and discharging switches.
Keywords: PV System Designing, Battery Modeling, Maximum Power Point Tracking, Fuzzy Logic Controller, State of Charge(SOC).
Scope of the Article: Fuzzy Logics