An Aging Model for Lithium-Ion Cells

 
 
 
 

An Aging Model for Lithium-Ion Cells

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dc.contributor.advisor Hartley, Tom en_US
dc.contributor.author Hartmann, Richard Lee, II en_US
dc.date.accessioned 2009-04-09T20:54:47Z
dc.date.available 2009-04-09T20:54:47Z
dc.date.created 2008 en_US
dc.date.issued 2009-04-09T20:54:47Z
dc.identifier.uri http://rave.ohiolink.edu/etdc/view?acc_num=akron1226887071 en_US
dc.identifier.uri http://hdl.handle.net/2374.OX/103486
dc.description This dissertation presents a methodology for using cycling data collected from several similar electrochemical cells to generate an aging model that predicts how the parameters in a first-principles dynamic model of a cell will change as the cell ages. Nine standard 18650 lithium-ion cells were cycled in three sets. Aging models were applied to the identified parameters of the dynamic models. These aging models were then validated by comparing their predictions with the original cycle data resulting in RMS voltage errors of less than 5% over the entire life of the cells. These aging models provide an accurate means of predicting the parameters for the dynamic cell model based on the life fraction of the cell and the maximum charging voltage. Unlike other aging models presented in the literature, the aging models presented here address the external performance of the cells. The aging model containing first-order temperature correction terms for the charge diffusion and current polarization term produced the smallest errors when compared with the original data. Incorporation of the aging model into a battery management system (BMS) will allow the BMS to better track capacity and remaining life of a cell. The methodology presented here could be applied to other cell chemistries. en_US
dc.format application/pdf en_US
dc.format 238p. en_US
dc.rights unrestricted en_US
dc.rights Copyright and permissions information available at the source archive en_US
dc.subject electrochemical cell en_US
dc.subject lithium-ion en_US
dc.subject aging en_US
dc.subject cycling en_US
dc.title An Aging Model for Lithium-Ion Cells en_US
dc.type Electronic Thesis or Dissertation en_US
dc.degree.name PhD en_US
dc.degree.level doctoral en_US
dc.degree.discipline Electrical Engineering en_US
dc.degree.grantor University of Akron en_US
dc.contributor.publisher University of Akron / OhioLINK en_US

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