Fuzzy-Based Charging-Discharging Controller for Lithium-Ion Battery in Microgrid Applications

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 saf...

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Bibliographic Details
Published in:IEEE transactions on industry applications 2021-07, Vol.57 (4), p.4187-4195
Main Authors: Faisal, Mohammad, Hannan, M. A., Ker, Pin Jern, Hossain Lipu, Molla S., Uddin, Mohammad Nasir
Format: Article
Language:English
Subjects:
Batteries
Battery chargers
Biomass
Charging
Charging–discharging
Complexity
Controllers
Discharge
Discharges (electric)
Distributed generation
Energy storage
Fuzzy control
Lithium
lithium-ion
Lithium-ion batteries
Load fluctuation
Load modeling
Mathematical models
microgrid (MG)
Microgrids
Real time
Rechargeable batteries
State of charge
state-of-charge (SOC)
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Summary: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.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2021.3072875