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dc.contributor.advisorGuezennec, Yann
dc.creatorSuttman, Alexander
dc.description.abstractAs any battery is charged and recharged through its use, the maximum power and capacity of the battery slowly decrease. This phenomenon, termed 'aging', is of particular concern in fields such as the automotive industry where long battery life is essential. Furthermore, this 'aging' is present with all battery chemistries. While the 'aging' can be traced back to a multiplicity of internal microscopic material degradation processes, the purpose of this project was to identify the macroscopic conditions under which batteries age most rapidly in order to predict or even extend useful battery life by avoiding these conditions. Specifically, this project focuses on advanced Li-ion batteries by identifying simplified electrical models of battery characteristics and tracking the slow evolution of the model parameters through the life of the battery. This analysis was performed for many batteries which underwent different conditions of aging (state of charge and current levels) and leverages several years of experiments at the Center for Automotive Research. The initial results indicate it is feasible to track this aging process by this methodology and that this aging process can be simply modeled by a slow dynamic model which depends on the severity of the operating conditions. Further, this approach could be performed in-situ in the vehicle with simple measurements readily available.en_US
dc.publisherThe Ohio State Universityen_US
dc.relation.ispartofseriesThe Ohio State University. Department of Mechanical Engineering Honors Theses; 2010en_US
dc.titleAnalysis of Aging Severity Factors For Automotive Lithium Ion Batteriesen_US
dc.description.embargoNo embargoen_US
dc.rights.ccAttribution-NoDerivs 3.0 Unporteden_US

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Attribution-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NoDerivs 3.0 Unported