Current sensorless state of charge estimation approach for onboard battery systems with an unknown current estimator

被引:2
作者
Kim, Wooyong [1 ]
Choi, Kyunghwan [2 ]
机构
[1] Hoseo Univ, Dept Robot, Dangjin 31702, Chungcheongnam, South Korea
[2] Gwangju Inst Sci & Technol, Sch Mech Engn, Gwangju 61005, South Korea
关键词
Battery management system; Disturbance observer; Fault tolerant system; Lithium-ion battery; State of charge estimation; Unknown current estimation; LITHIUM-ION BATTERIES; OPEN-CIRCUIT-VOLTAGE; OF-CHARGE; SERIES; SELECTION; MODELS; CELLS;
D O I
10.1016/j.est.2022.104726
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Current measurement is essential in a wide variety of lithium-ion battery applications, including electric vehicles and energy storage systems. In onboard battery management systems, regardless of the type of current sensor, it is difficult to ensure the accuracy of the current measurement due to various types of external noise and electrical interference between systems. In extreme cases, a malfunction of the current measurement can occur due to connection loss or sensor fault. Thus, the current measurement is error-prone, which easily decreases the accuracy of the state of charge estimator. This study presents an alternative method to estimate the state of charge of a battery system by estimating the engaged current by using an unknown current estimator instead of relying on erroneous current measurements. There are two main contributions: (1) A nonlinear state space representation of a lithium-ion battery cell is proposed by implicitly transforming the engaged current into internal state variables and equivalent parameters. (2) Based on the disturbance observer for a class of nonlinear systems, the unknown current estimator is established. The effectiveness of the proposed method is verified with a cylindrical battery cell and an experimental investigation with the onboard battery management system.
引用
收藏
页数:10
相关论文
共 34 条
[1]   Speed-sensorless estimation for induction motors using extended Kalman filters [J].
Barut, Murat ;
Bogosyan, Seta ;
Gokasan, Metin .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (01) :272-280
[2]   A Lithium-Ion Battery Current Estimation Technique Using an Unknown Input Observer [J].
Cambron, Daniel C. ;
Cramer, Aaron M. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (08) :6707-6714
[3]  
Christophersen J.P., 2015, Battery Test Manual For Electric Vehicles, Revision 3, DOI DOI 10.2172/1186745
[4]   Implementation of discharging/charging current sensorless state-of-charge estimator reflecting cell-to-cell variations in lithium-ion series battery packs [J].
Chun, C. Y. ;
Cho, B. H. ;
Kim, J. .
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2016, 17 (05) :909-916
[5]   Current sensor-less state-of-charge estimation algorithm for lithium-ion batteries utilizing filtered terminal voltage [J].
Chun, Chang Yoon ;
Baek, Jongbok ;
Seo, Gab-Su ;
Cho, B. H. ;
Kim, Jonghoon ;
Chang, Il Kwon ;
Lee, Sangwoo .
JOURNAL OF POWER SOURCES, 2015, 273 :255-263
[6]  
Dewangga B R, 2018, 2018 4 INT C SCI TEC, P1
[7]  
Dewangga BR, 2018, PROCEEDINGS OF 2018 THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE), P471, DOI 10.1109/ICITEED.2018.8534889
[8]   Comparison, Selection, and Parameterization of Electrical Battery Models for Automotive Applications [J].
Einhorn, Markus ;
Conte, Fiorentino Valerio ;
Kral, Christian ;
Fleig, Juergen .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2013, 28 (03) :1429-1437
[9]   A comparative study of equivalent circuit models for Li-ion batteries [J].
Hu, Xiaosong ;
Li, Shengbo ;
Peng, Huei .
JOURNAL OF POWER SOURCES, 2012, 198 :359-367
[10]  
Jong Hoon Kim, 2007, 2007 7th Internatonal Conference on Power Electronics (ICPE), P1173, DOI 10.1109/ICPE.2007.4692563