DocumentCode
51131
Title
State of Charge Imbalance Estimation for Battery Strings Under Reduced Voltage Sensing
Author
Xinfan Lin ; Stefanopoulou, Anna G. ; Yonghua Li ; Anderson, R. Dyche
Author_Institution
Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
Volume
23
Issue
3
fYear
2015
fDate
May-15
Firstpage
1052
Lastpage
1062
Abstract
Reducing voltage sensing in a battery pack is beneficial for cutting the cost of the battery management system. In this paper, a methodology is designed to estimate the states of charge (SOC) of two cells connected in series when only their total voltage is measured. First, the feasibility is analyzed based on the nonlinear observability of the two-cell string under reduced voltage sensing. Furthermore, observability analysis is performed to different battery chemistries to determine their respective observable SOC ranges based on the voltage-SOC relationship. A trajectory-based nonlinear observer, the Newton observer, is then designed for SOC estimation and has been validated by experiments. The limitation of extending the method to strings with more than two cells is also discussed. The methodology is initially designed under the assumption of equal and known capacity and resistance among cells. The robustness of estimation is finally investigated when the above assumptions do not hold.
Keywords
Newton method; battery management systems; electric sensing devices; observability; observers; secondary cells; voltage measurement; Newton observer; SOC; battery management system; battery string; nonlinear observability analysis; reduced voltage sensing; state of charge imbalance estimation; trajectory-based nonlinear observer; two-cell string; voltage measurement; Batteries; Estimation; Observability; Sensors; System-on-chip; Trajectory; Voltage measurement; Battery control; observability; reduced voltage sensing; state estimation; state estimation.;
fLanguage
English
Journal_Title
Control Systems Technology, IEEE Transactions on
Publisher
ieee
ISSN
1063-6536
Type
jour
DOI
10.1109/TCST.2014.2360919
Filename
6963490
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