NDLI: Nonlinear parameter estimation for capacity fade in Lithium-ion cells based on a reduced-order electrochemical model

Content Provider	IEEE Xplore Digital Library
Author	Marcicki, J. Todeschini, F. Onori, S. Canova, M.
Copyright Year	2012
Description	Author affiliation: Center for Automotive Res., Ohio State Univ., Columbus, OH, USA (Marcicki, J.; Onori, S.; Canova, M.) \|\| Dipt. di Elettron. ed Inf., Politec. di Milano, Milan, Italy (Todeschini, F.)
Abstract	Lithium-ion batteries are central to the powertrain transformation taking place in the automotive industry, but the duration, cost, and complexity of experimental work for the characterization of aging mechanisms drive the need for models and model-based estimation approaches. This paper presents a model-based nonlinear parameter estimation method for the characterization of long-term capacity fade of Lithium-ion cells. The proposed approach relies on a reduced-order model of a $LiC_{6}/LiFePO_{4}$ cell, describing the mass and charge transfer in the solid and liquid phase, and the governing electrochemical principles. The model, validated with experimental data from a battery cell at beginning of life, is used to conduct a sensitivity analysis of the capacity to a subset of physicochemical parameters that are hypothesized to evolve throughout the battery's life. After isolating the most significant model parameters characterizing the long-term capacity degradation, experimental data from battery aging studies were used to solve a system identification problem to identify the degradation trend for the aging-related parameters. The developed tool is applicable to model-based diagnostic algorithms for ascertaining battery state-of-health and predicting the remaining useful life for Li-ion cells subjected to relevant usage and environmental conditions for automotive applications.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	572
Ending Page	577
File Size	553231
Page Count	6
File Format	PDF
ISBN	9781457710957
ISSN	07431619
e-ISBN	9781457710964
e-ISBN	9781467321020
DOI	10.1109/ACC.2012.6315257
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Aging Batteries Materials Discharges (electric) Electrodes Degradation System-on-a-chip
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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