TR2013-109

Nonlinear Adaptive Estimation of the State of Charge for Lithium-ion Batteries

    •  Wang, Y., Fang, H., Sahinoglu, Z., Wada, T., Haa, S., "Nonlinear Adaptive Estimation of the State of Charge for Lithium-ion Batteries", IEEE Conference on Decision and Control (CDC), December 2013.
      BibTeX TR2013-109 PDF
      • @inproceedings{Wang2013dec2,
      • author = {Wang, Y. and Fang, H. and Sahinoglu, Z. and Wada, T. and Haa, S.},
      • title = {Nonlinear Adaptive Estimation of the State of Charge for Lithium-ion Batteries},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2013,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2013-109}
      • }
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  • Research Areas:

    Control, Dynamical Systems, Signal Processing, Electric Systems

Abstract:

This paper considers State of Charge (SoC) estimation of Lithium-ion battery. Different from various prior art, where estimation is performed based on local linearization of a nonlinear battery model, a nonlinear adaptive observer is proposed to estimate the SoC and the parameters of a simplified but nonlinear battery model. A major advantage of the proposed approach is the possibility to establish the exponential stability of the resultant error dynamics of state and parameter estimation. Simulation validates the effectiveness of the proposed approach.