Evaluating Real-Life Performance of Lithium-Ion Battery Packs in Electric Vehicles

被引:23
|
作者
Klass, Verena [1 ]
Behm, Marten [1 ]
Lindbergh, Goran [1 ]
机构
[1] KTH Royal Inst Technol, Dept Chem Engn & Technol, S-10044 Stockholm, Sweden
关键词
MANAGEMENT-SYSTEMS; CHARGE; STATE; CELLS;
D O I
10.1149/2.047211jes
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
In regard to the increasing market launch of plug-in hybrid electric vehicles (PHEVs), understanding battery pack performance under electric vehicle (EV) operating conditions is essential. As lifetime still remains an issue for battery packs, it is a necessity to monitor the battery pack's state-of-health (SOH) on-board. Standard laboratory performance tests for health evaluation do not apply since operation interruptions and additional testing equipment are out of the question during ordinary EV usage. We suggest a novel methodology of performance estimation from real-life battery data. On the basis of battery pack data collected during PHEV operation, a support vector machine model capturing battery behavior characteristics is constructed. By virtually testing this battery model, access to standard performance evaluation figures can be gained. The SOH indicator "10 s discharge resistance" as known from hybrid pulse power characterization (HPPC) tests is chosen to exemplify how performance can be followed over a year. (C) 2012 The Electrochemical Society. [DOI: 10.1149/2.047211jes] All rights reserved.
引用
收藏
页码:A1856 / A1860
页数:5
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