NDLI: Adaptive Estimation of the State of Charge for Lithium-Ion Batteries: Nonlinear Geometric Observer Approach

Content Provider	IEEE Xplore Digital Library
Author	Yebin Wang Huazhen Fang Sahinoglu, Z. Wada, T. Hara, S.
Copyright Year	1993
Abstract	This paper considers the state of charge (SoC) and parameter estimation of lithium-ion batteries. Different from various prior arts, where estimation is based on local linearization of a nonlinear battery model, nonlinear geometric observer approach is followed to design adaptive observers for the SoC and parameter estimation based on nonlinear battery models. 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. The proposed adaptive observers are shown to be robust with respect to unmodeled process uncertainties. Analysis also shows the design tradeoff between the convergence rate and the robustness of the estimation error dynamics with respect to the measurement noise. Simulation and experimental results validate the effectiveness and main advantages of the proposed approach. Error analysis is presented and explains the experimental results.
Sponsorship	IEEE Control Systems Society
Starting Page	948
Ending Page	962
Page Count	15
File Size	2624993
File Format	PDF
ISSN	10636536
Volume Number	23
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries Observers System-on-chip Adaptation models Electrodes Mathematical model state of charge (SoC) Adaptive estimation geometric method lithium-ion (Li⁺) batteries nonlinear systems lithium-ion (Li+) batteries
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering

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