Journal
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
Volume 158, Issue 9, Pages A1048-A1054Publisher
ELECTROCHEMICAL SOC INC
DOI: 10.1149/1.3609926
Keywords
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Funding
- National Science Foundation [CBET-0828002, CBET-0828123, CBET-1008692]
- International Center for Advanced Renewable Energy and Sustainability at Washington University in St. Louis (ICARES)
- U.S. government
- Div Of Chem, Bioeng, Env, & Transp Sys [0828123, 1008692] Funding Source: National Science Foundation
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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. (C) 2011 The Electrochemical Society. [DOI: 10.1149/1.3609926] All rights reserved.
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