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Fuzzy Logic-based Battery Management System for Solar-Powered Li-Ion Battery in Electric Vehicle Applications

P. Justin Raj, V. Vasan Prabhu, K. Premkumar

2020Journal of Circuits Systems and Computers28 citationsDOI

Abstract

This paper presents the solar powered charging control of lithium-ion battery. The flyback converter is used to extract the maximum power from the solar photovoltaic (PV) array and charge the battery. This paper also presents the fuzzy logic-based battery management system to protect the batteries due to overcharging and over-discharging conditions. The proposed method is designed and developed in the MATLAB/Simulink platform. Solar PV powered battery system is tested for step change in irradiance conditions and corresponding results are measured and analyzed. The effectiveness of the fuzzy logic-based battery management system is also presented. The simulation model for BMS technique has overall efficiency of 95.1%. In order to verify the effectiveness of the proposed system, experimental verification of the proposed method is implemented in real time and compared with simulation results.

Topics & Concepts

Photovoltaic systemBattery (electricity)Fuzzy logicMATLABComputer scienceAutomotive engineeringState of chargePower (physics)Electrical engineeringEngineeringQuantum mechanicsOperating systemArtificial intelligencePhysicsAdvanced Battery Technologies ResearchAdvanced DC-DC ConvertersPhotovoltaic System Optimization Techniques
Fuzzy Logic-based Battery Management System for Solar-Powered Li-Ion Battery in Electric Vehicle Applications | Litcius