Critical review of state of health estimation methods of Li-ion batteries for real applications

被引:696
作者
Berecibar, M. [1 ,2 ]
Gandiaga, I. [1 ]
Villarreal, I. [1 ]
Omar, N. [2 ]
Van Mierlo, J. [2 ]
Van den Bossche, P. [2 ]
机构
[1] IK4 Ikerlan, Parcela 10-5,Edificio A3, Hernani 20120, Gipuzkoa, Spain
[2] Vrije Univ Brussel, MOBI Res Grp, Pl Laan 2, B-1050 Elsene, Belgium
关键词
Li-ion technology; State of Health estimation; Real applications; Battery Management System; ATOMIC-FORCE MICROSCOPY; ON-BOARD STATE; OF-HEALTH; CAPACITY FADE; CYCLE LIFE; IMPEDANCE MEASUREMENTS; GRAPHITE-ELECTRODES; MANAGEMENT-SYSTEMS; PHOTOELECTRON-SPECTROSCOPY; CARBONACEOUS MATERIALS;
D O I
10.1016/j.rser.2015.11.042
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Lithium-ion battery packs in hybrid and electric vehicles, as well as in other traction applications, are always equipped with a Battery Management System (BMS). The BMS consists of hardware and software for battery management including, among others, algorithms determining battery states. The accurate and reliable State of Health (SOH) estimation is a challenging issue and it is a core factor of a battery energy storage system. In this paper, battery SOH monitoring methods are reviewed. To this end, different scientific and technical literature is studied and the respective approaches are classified in specific groups. The groups are organized in terms of the way the method is carried out: Experimental Techniques or Adaptive Models. Not only strengths and weaknesses for the use in online BMS applications are reviewed but also their accuracy and precision is studied. At the end of the document a potential, new and promising via in order to develop a methodology to estimate the SOH in real applications is detailed. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:572 / 587
页数:16
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