Publication: Fuzzy-Based Charging-Discharging Controller for Lithium-Ion Battery in Microgrid Applications
Date
2021
Authors
Faisal M.
Hannan M.A.
Ker P.J.
Hossain Lipu M.S.
Uddin M.N.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
This article presents the fuzzy-based charging-discharging control technique of lithium-ion battery storage in microgrid application. Considering available power, load demand, and battery state-of-charge (SOC), the proposed fuzzy-based scheme enables the storage to charge or discharge within the safe operating region. Various controlling techniques have been implemented to evaluate and control the battery performance, which has the limitation of controlling overcharging or overdischarging, complexity in control, and longer charging time. Besides, a fuzzy controller is less complex and faster, as it obviates the extra sensing components, requires no additional deep discharging and overcharging protection, and easy to implement due to the absence of mathematical calculation. The numerical simulations with the load demand and the generations demonstrate the effectiveness of the proposed charging-discharging controller strategy. The efficacy of the proposed controller is tested under certain load variations for real-time application. The obtained experimental result shows that the developed model can control the battery charging-discharging efficiently. Moreover, it is also seen from the output that the battery SOC does not go beyond the limit of the respective safe battery operating region (20%-80%). Thus, the main contribution of this research is to develop an improved fuzzy model and, thus, implement the system for real-time application to control the charging-discharging of the battery. � 1972-2012 IEEE.
Description
Charging time; Controllers; Lithium-ion batteries; Microgrids; Battery performance; Battery state of charge; Control techniques; Improved fuzzy models; Mathematical calculations; Overcharging protection; Real-time application; Sensing components; Battery management systems