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

被引：1
作者：
Magsumbol, Jo-Ann, V [1 ]
Rosales, Marife A. [1 ]
Palconit, Maria Gemel B. [1 ]
Concepcion, Ronnie S., II [2 ,3 ]
Bandala, Argel A. [1 ,3 ]
Vicerra, Ryan Rhay P. [2 ,3 ]
Sybingco, Edwin [1 ,3 ]
Culaba, Alvin [3 ,4 ]
Dadios, Elmer P. [2 ,3 ]
机构：
[1] De La Salle Univ DLSU, Dept Elect & Comp Engn, 2401 Taft Ave, Manila 1004, Philippines
[2] De La Salle Univ DLSU, Dept Mfg Engn & Management, 2401 Taft Ave, Manila 1004, Philippines
[3] De La Salle Univ DLSU, Ctr Engn & Sustainable Dev Res, 2401 Taft Ave, Manila 1004, Philippines
[4] De La Salle Univ DLSU, Dept Mech Engn, 2401 Taft Ave, Manila 1004, Philippines
来源：
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2022年 / 26卷 / 05期
关键词：
battery management system; state of charge; state of health; remaining useful life; LiFePO4; LITHIUM-ION BATTERY; OF-CHARGE ESTIMATION; HEALTH ESTIMATION; STATE; CHALLENGES; IMPEDANCE; VOLTAGE; PACKS;
D O I：
10.20965/jaciii.2022.p0824
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：824 / 833
页数：10
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