Battery Management System An Overview of Its Application in the Smart Grid and Electric Vehicles

被引:678
作者
Rahimi-Eichi, Habiballah [3 ]
Ojha, Unnati
Baronti, Federico
Chow, Mo-Yuen [1 ,2 ,3 ]
机构
[1] N Carolina State Univ, Raleigh, NC 27695 USA
[2] Zhejiang Univ, Hangzhou 310003, Zhejiang, Peoples R China
[3] N Carolina State Univ, Adv Diag Automat & Control Lab, Raleigh, NC 27695 USA
基金
美国国家科学基金会;
关键词
LITHIUM-ION BATTERIES; STATE; BEHAVIOR; HEALTH; MODEL; CELL;
D O I
10.1109/MIE.2013.2250351
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the rapidly evolving technology of the smart grid and electric vehicles (EVs), the battery has emerged as the most prominent energy storage device, attracting a significant amount of attention. The very recent discussions about the performance of lithium-ion (Li-ion) batteries in the Boeing 787 have confirmed so far that, while battery technology is growing very quickly, developing cells with higher power and energy densities, it is equally important to improve the performance of the battery management system (BMS) to make the battery a safe, reliable, and cost-efficient solution. The specific characteristics and needs of the smart grid and EVs, such as deep charge/discharge protection and accurate state-of-charge (SOC) and state-of-health (SOH) estimation, intensify the need for a more efficient BMS. The BMS should contain accurate algorithms to measure and estimate the functional status of the battery and, at the same time, be equipped with state-of-the-art mechanisms to protect the battery from hazardous and inefficient operating conditions. © 2007-2011 IEEE.
引用
收藏
页码:4 / 16
页数:13
相关论文
共 45 条
[41]  
Tanaka K., P 2011 33 INT TEL EN, P6
[42]   Ageing mechanisms in lithium-ion batteries [J].
Vetter, J ;
Novák, P ;
Wagner, MR ;
Veit, C ;
Möller, KC ;
Besenhard, JO ;
Winter, M ;
Wohlfahrt-Mehrens, M ;
Vogler, C ;
Hammouche, A .
JOURNAL OF POWER SOURCES, 2005, 147 (1-2) :269-281
[43]  
Wenger M. M., P 2012 IEEE INT S IN, P1342
[44]  
Windarko N. A., P 2010 IEEE EN CONV, P4243
[45]   Convergence Analysis of the Incremental Cost Consensus Algorithm Under Different Communication Network Topologies in a Smart Grid [J].
Zhang, Ziang ;
Chow, Mo-Yuen .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (04) :1761-1768