Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
Name
Braatz_Parameter Estimation.pdf
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1.21 MB
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Adobe PDF
Checksum (MD5)
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Author(s)
Ramadesigan, Venkatasailanathan
Chen, Kejia
Burns, Nancy A.
Boovaragavan, Vijayasekaran
Braatz, Richard D.
Subramanian, Venkat R.
Date Issued
July 2011
Journal
Journal of The Electrochemical Society
Publisher
The Electrochemical Society
Citation
Ramadesigan, Venkatasailanathan et al. “Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models.” Journal of The Electrochemical Society 158.9 (2011): A1048. ©2011 ECS - The Electrochemical Society
Version
Final published version
Abstract
Many researchers have worked to develop methods to analyze and characterize capacity fade in lithium-ion batteries. As a complement to approaches to mathematically model capacity fade that require detailed understanding of each mechanism, capacity fade was accurately and efficiently predicted for future cycles using a discrete approach by extrapolating the change in effective transport and kinetic parameters with cycle number (N) for a battery tested under controlled experimental conditions. The effective parameters and their uncertainties are estimated using a mathematical reformulation of a porous electrode model, whose computational efficiency enables the integration of the proposed approach into an inexpensive microprocessor for estimating the remaining lifetime of a battery based on past charge-discharge curves. The approach may also provide some guidance for designers as to which battery components to focus on for redesign to reduce capacity fade.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1149/1.3609926
