Advances in New and Renewable Energy >
SOH Estimation of Li-ion Batteries by Combining Recovery Rate of Open Circuit Voltage with Impedance
Received date: 2013-12-01
Revised date: 2014-02-18
Online published: 2014-02-28
The estimation of SOH (State-of-health) is based on measuring the recovery rate of open circuit voltage and impedance of the lithium ion battery after discharge. The recovery rate of open circuit voltage is selected as the main factor, while the impedance as the secondary factor for the SOH estimation with considering the effects of temperature, discharge current, cut-off voltage, and various impedances in battery. This estimation is more accurate than the estimation based on a single factor.
HUANG Wei-Zhao , LI Xiao-Ping , ZHANG Dong-sheng , LIU Yan-lin , LIU Zhen , LI Wei-Shan . SOH Estimation of Li-ion Batteries by Combining Recovery Rate of Open Circuit Voltage with Impedance[J]. Advances in New and Renewable Energy, 2014 , 2(1) : 43 -48 . DOI: 10.3969/j.issn.2095-560X.2014.01.008
[1] 徐保伯, 刘务华. 锂离子电池的制造及其市场[J]. 电池, 2002, 32(4): 243-244.
[2] 李伟善. 储能锂离子电池关键材料研究进展[J]. 新能源进展, 2013, 1(1): 95-105.
[3] 廖晓军, 向莉萍, 钟志华, 等. 电池管理系统国内外现状及其未来发展趋势[J]. 汽车工程, 2006, 28(10): 961-964.
[4] 雷晶晶, 李秋红, 陈立宝, 等. 动力锂离子电池管理系统的研究进展[J]. 电源技术, 34(11): 1193-1196.
[5] Gomadam P M, Weidner J W, Dougal R A, et al. Mathematical modeling of lithium-ion and nickel battery systems[J]. Journal of Power Sources, 2002, 110: 267-284.
[6] Remmlinger J, Buchholz M, Meiler M, et al. State-of-health monitoring of lithium-ion batterys in electric vehicles by on-board internal resistance estimation[J]. Journal of Power Source 2001, 1969(12): 5357-5363.
[7] Gould C R, Bingham C M, Stone D A, Bentley P. Battery health determination by subspace parameter estimation and sliding mode control for an all-electric personal rapid transit vehicle-the ultra[C]//Power Electronic Specialists Conference. Rhodes: IEEE, 2008: 4381-4385.
[8] 许参, 李杰, 王超. 一种锂离子电池寿命的预测模型[J]. 应用科学学报, 2006, 34(4): 368-371.
[9] 徐文静. 纯电动汽车锂动力电池健康状态估算方法研究[D]. 长春：吉林大学, 2012. 27-33.
[10] Gu Y L. Study of impedance model of lithium-ion battery[D]. Master Thesis of Harbin University of Science and Technology, 2008.
[11] Cao C N, Zhang J Q. Introduction of EIS[M]. Beijing: Science Press, 2002, 1-146.
[12] Wang H Y, He L, Sun J H. Study on correlation with SOH and EIS model of li-ion battery[J]. The 6th International Forum Strategic Technology, 2011: 261-264.
[13] 徐睿. 锂离子电池恶化程度与阻抗模型相关性研究[D]. 哈尔滨：哈尔滨理工大学, 2010. 11-26.
[14] 曹楚南, 张鉴清. 电化学阻抗谱导论[M]. 北京: 科学出版社, 2002. 1-40.
[15] Mingant R, Bernard J, Sauvant-Moynot V, et al. EIS measurements for determining the SOC and SOH of li-ion batteries[J]. ECS Transcations, 2011, 33(39): 41-53.
[16] Rodrigues S, Munichandraiah N, Shukla A K. A review of state-of-charge indication of battrries by means of a.c. impedance measurements[J]. Journal of Power Sources, 2000, 87: 12-20.
[17] 魏学哲, 徐玮, 沈丹. 锂离子电池内阻辨识及其在寿命估计中的应用[J]. 电源技术, 2009, 33(3): 217-220.
[18] 李伟善, 邱仕洲. 锂离子电池容量衰减的原因分析[J]. 电池工业, 2001, 6(1): 21-24.
[19] 顾帅, 韦莉, 张逸成, 等. 超级电容器老化特征与寿命测试研究展望[J]. 中国电机工程学报, 2013, 33(21): 145-153.
[20] Singh P, Vinjamuri R, Wang X Q, et al. Fuzzy logic modeling of EIS measurements on lithium-ion batteries[J]. Electrochimica Acta, 2006, 51: 1673-1679.
[21] Huet F. A review of impedance measurements for determination of the state-of-charge or state-of-health of secondary batteries[J]. Journal of Power Sources, 1998, 70: 59-69.
/
| 〈 |
|
〉 |