Algorithm to Determine the Knee Point on Capacity Fade Curves of Lithium-Ion Cells

dc.contributor.authorDiao, Weiping
dc.contributor.authorSaxena, Saurabh
dc.contributor.authorHan, Bongtae
dc.contributor.authorPecht, Michael
dc.date.accessioned2023-11-15T19:19:46Z
dc.date.available2023-11-15T19:19:46Z
dc.date.issued2019-07-29
dc.description.abstractLithium-ion batteries typically exhibit a transition to a more rapid capacity fade trend when subjected to extended charge–discharge cycles and storage conditions. The identification of the knee point can be valuable to identify the more severe degradation trend, and to provide guidance when scheduling battery replacements and planning secondary uses of the battery. However, a concise and repeatable determination of a knee point has not been documented. This paper provides a definition of the knee point which can be used as a degradation metric, and develops an algorithm to identify it. The algorithm is implemented on various data cases, and the results indicate that the approach provides repeatable knee point identification.
dc.description.urihttps://doi.org/10.3390/en12152910
dc.identifierhttps://doi.org/10.13016/dspace/4a6o-wfnx
dc.identifier.citationDiao, W.; Saxena, S.; Han, B.; Pecht, M. Algorithm to Determine the Knee Point on Capacity Fade Curves of Lithium-Ion Cells. Energies 2019, 12, 2910.
dc.identifier.urihttp://hdl.handle.net/1903/31408
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtA. James Clark School of Engineeringen_us
dc.relation.isAvailableAtMechanical Engineeringen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectlithium-ion batteries
dc.subjectcapacity fade
dc.subjectalgorithm
dc.subjectknee point identification
dc.subjectslope-changing ratio
dc.titleAlgorithm to Determine the Knee Point on Capacity Fade Curves of Lithium-Ion Cells
dc.typeArticle
local.equitableAccessSubmissionNo

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