Hysteresis Compensation in State-of-Charge Estimation with a Nonlinear Double-Capacitor Li-Ion Battery Model

被引:0
作者
Movahedi, Hamidreza [1 ]
Tian, Ning [2 ]
Fang, Huazhen [2 ]
Rajamani, Rajesh [1 ]
机构
[1] Univ Minnesota, Dept Mech Engn, Minneapolis, MN 55455 USA
[2] Univ Kansas, Dept Mech Engn, Lawrence, KS 66045 USA
来源
2021 AMERICAN CONTROL CONFERENCE (ACC) | 2021年
基金
美国国家科学基金会;
关键词
DESIGN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper focuses on hysteresis compensation to improve the accuracy of state-of-charge (SoC) estimation in a lithium-ion battery modeled using a recently developed nonlinear double-capacitor representation. The measurement equation of the model has two nonlinear functions, one of them being significant hysteresis in voltage as a function of the SoC. The hysteresis term is modeled in this paper using a physically intuitive modified Preisach representation consisting of a series of hysterons which get switched on or off to produce the hysteresis phenomenon. The proposed model for the hysteresis term is not differentiable but is Lipschitz bounded. A nonlinear observer suitable for Lipschitz nonlinear systems is utilized to guarantee asymptotic stability. The observer design procedure consists of satisfying an LMI-transformable inequality on a set of vertices of a convex function. Experimental data from charging and discharging tests are used to determine the weights of the hysterons in the modified Preisach model. The developed observer is then evaluated using experimental battery data and shown to perform well.
引用
收藏
页码:3108 / 3113
页数:6
相关论文
共 23 条
  • [1] PcrG protects the two long helical oligomerization domains of PcrV, by an interaction mediated by the intramolecular coiled-coil region of PcrG
    Basu, Abhishek
    Das, Urmisha
    Dey, Supratim
    Datta, Saumen
    [J]. BMC STRUCTURAL BIOLOGY, 2014, 14
  • [2] Lithium-ion battery thermal-electrochemical model-based state estimation using orthogonal collocation and a modified extended Kalman filter
    Bizeray, A. M.
    Zhao, S.
    Duncan, S. R.
    Howey, D. A.
    [J]. JOURNAL OF POWER SOURCES, 2015, 296 : 400 - 412
  • [3] Chung D., 2015, NRELPR6A5063354 CLEA
  • [4] Lithium-Ion Battery State of Charge and Critical Surface Charge Estimation Using an Electrochemical Model-Based Extended Kalman Filter
    Di Domenico, Domenico
    Stefanopoulou, Anna
    Fiengo, Giovanni
    [J]. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2010, 132 (06):
  • [5] A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
    Hannan, M. A.
    Lipu, M. S. H.
    Hussain, A.
    Mohamed, A.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 78 : 834 - 854
  • [6] Condition Monitoring in Advanced Battery Management Systems: Moving Horizon Estimation Using a Reduced Electrochemical Model
    Hu, Xiaosong
    Cao, Dongpu
    Egardt, Bo
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 23 (01) : 167 - 178
  • [7] The novel state of charge estimation method for lithium battery using sliding mode observer
    Kim, Il-Song
    [J]. JOURNAL OF POWER SOURCES, 2006, 163 (01) : 584 - 590
  • [8] Electrochemical Model Based Observer Design for a Lithium-Ion Battery
    Klein, Reinhardt
    Chaturvedi, Nalin A.
    Christensen, Jake
    Ahmed, Jasim
    Findeisen, Rolf
    Kojic, Aleksandar
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (02) : 289 - 301
  • [9] Theoretical Analysis of Battery SOC Estimation Errors Under Sensor Bias and Variance
    Lin, Xinfan
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (09) : 7138 - 7148
  • [10] Lofberg J., 2004, 2004 IEEE INT C ROBO, P284, DOI DOI 10.1109/CACSD.2004.1393890