Browse > Article
http://dx.doi.org/10.5391/JKIIS.2012.22.3.300

A Nonlinear Observer Design for Estimating State-of-Charge of Lithium Polymer Battery  

Yoo, Seog-Hwan (대구대학교 전자전기공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.22, no.3, 2012 , pp. 300-304 More about this Journal
Abstract
This paper presents a nonlinear observer design method for SOC(state-of-charge) estimation of Lithium polymer battery cell. The dynamic equation of the battery cell is modeled as a simple RC electrical circuit with a nonlinear voltage source and the parameters are obtained via nonlinear optimization. Using the sum of squares decomposition, the observer gain is designed such that the error dynamics is asymptotically stable and the decay rate is below the prescribed value. In order to illustrate the performance of the observer, a computer simulation is performed using the experimental data with the UDDS(urban dynamometer driving schedule) current profile.
Keywords
State of charge; Lithium polymer battery; Nonlinear observer; Sum of squares;
Citations & Related Records
연도 인용수 순위
  • Reference
1 B. Pattipati, K. Pattipati, J. Christopherson, A. Namburu, D. Prokhorov and L. Qiao, "Automotive Battery Management Systems," IEEE Autotestcon, pp. 581-586, Salt Lake city, UT, Sep. 2008.
2 G. Plett, "Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs. Part 1. Background," Journal of power sources, pp. 252-261, Vol. 134, 2004.   DOI   ScienceOn
3 G. Plett, "Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs. Part 2. Modeling and Identification," Journal of power sources, pp. 262-276, Vol. 134, 2004.   DOI   ScienceOn
4 G. Plett, "Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs. Part 3. State and parameter estimation," Journal of power sources, pp. 277-292, Vol. 134, 2004.   DOI   ScienceOn
5 W. Yan, Y. Tian-ming and L. Bao-jie, "Lead-acid Power Battery Management System Basing on Kalman Filtering," IEEE Vehicle Power and Propulsion Conference, Harbin, China, Sep. 2008.
6 B. Bhangu, P. Bentley, D. Stone and C. Bingham, "Nonlinear Observers for Predicting State-of-Charge and State-of-Health of Lead-Acid Batteries for Hybrid Electric Vehicles," IEEE Trans. on Vehicular Technology, Vol. 54, No. 3, pp.783-794, May 2005.   DOI   ScienceOn
7 C. Gould, C. Bingham C. Stone and D. Bentley, "New Battery Model and State-of-Health Determination Through Subspace Parameter Estimation and State Observer Techniques," IEEE Trans. on Vehicular Technology, Vol. 58, No.8, pp.3905-3916, Oct. 2009.   DOI
8 A. Papachristodoulou and S. Prajna, "Analysis of Non-polynomial Systems using the Sum of Squares Decomposition", pp. 1-20, Positive Polynomials in Control, Springer, 2005.
9 K. Tanaka, K. Yamauchi, H. Ohtake and H. O. Wang, "Guaranteed Cost Control of Polynomial Fuzzy Systems via a Sum of Squares Approach", Proceedings of the 46th IEEE Conference on Decision and Control, pp.5954-5959, New Orleans, LA, Dec. 12-14, 2007.
10 K. Tanaka, H. Ohtake, M. Wada, H. O. Wang and Y. Chen, "Polynomial Fuzzy Observer Design: A Sum of Squares Approach", Proceedings of the 48th IEEE Conference on Decision and Control, pp. 7771-7776, Shanghai, P.R.China, Dec. 16-18, 2009.