JACIII Vol.26 No.5 pp. 824-833
doi: 10.20965/jaciii.2022.p0824


A Review of Smart Battery Management Systems for LiFePO4: Key Issues and Estimation Techniques for Microgrids

Jo-Ann V. Magsumbol*1,†, Marife A. Rosales*1, Maria Gemel B. Palconit*1, Ronnie S. Concepcion II*2,*3, Argel A. Bandala*1,*3, Ryan Rhay P. Vicerra*2,*3, Edwin Sybingco*1,*3, Alvin Culaba*3,*4, and Elmer P. Dadios*2,*3

*1Department of Electronics and Computer Engineering, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

*2Department of Manufacturing Engineering and Management, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

*3Center for Engineering and Sustainable Development Research, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

*4Department of Mechanical Engineering, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

Corresponding author

May 3, 2022
July 15, 2022
September 20, 2022
battery management system, state of charge, state of health, remaining useful life, LiFePO4

Lithium iron phosphate (LiFePO4) has become the top choice battery chemical in photovoltaic (PV) system nowadays due to numerous advantages as compared to lead acid batteries. However, LiFePO4 needs a battery management system to optimize energy utilization. State of charge (SoC), state of health (SoH), cell balancing, remaining useful life are some of its crucial parameters. This review paper discusses overview of battery management system (BMS) functions, LiFePO4 characteristics, key issues, estimation techniques, main features, and drawbacks of using this battery type.

Cite this article as:
J. Magsumbol, M. Rosales, M. Palconit, R. II, A. Bandala, R. Vicerra, E. Sybingco, A. Culaba, and E. Dadios, “A Review of Smart Battery Management Systems for LiFePO4: Key Issues and Estimation Techniques for Microgrids,” J. Adv. Comput. Intell. Intell. Inform., Vol.26, No.5, pp. 824-833, 2022.
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Last updated on Sep. 22, 2022