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Fuzzy Logic-based Battery Management System for Solar-Powered Li-Ion Battery in Electric Vehicle Applications
Journal of Circuits, Systems and Computers ( IF 0.9 ) Pub Date : 2020-08-08 , DOI: 10.1142/s0218126621500432
P. Justin Raj 1 , V. Vasan Prabhu 2 , K. Premkumar 3
Affiliation  

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.

中文翻译:

用于电动汽车应用中太阳能锂离子电池的基于模糊逻辑的电池管理系统

本文介绍了锂离子电池的太阳能充电控制。反激式转换器用于从太阳能光伏 (PV) 阵列中提取最大功率并为电池充电。本文还提出了基于模糊逻辑的电池管理系统,以保护电池在过度充电和过度放电的情况下。该方法是在 MATLAB/Simulink 平台上设计和开发的。测试太阳能光伏电池系统的辐照度条件的阶跃变化,并测量和分析相应的结果。还介绍了基于模糊逻辑的电池管理系统的有效性。BMS技术的仿真模型总体效率为95.1%。为了验证所提出系统的有效性,
更新日期:2020-08-08
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