dc.creatorL. Quintero, Vanessa
dc.creatorPerez, Aramis
dc.creatorJaramillo, Francisco
dc.creatorOrchard, Marcos
dc.date.accessioned2019-07-02T17:42:30Z
dc.date.accessioned2022-10-24T12:15:39Z
dc.date.available2019-07-02T17:42:30Z
dc.date.available2022-10-24T12:15:39Z
dc.date.created2019-07-02T17:42:30Z
dc.date.issued2018-07-01
dc.date.issued2018-07-01
dc.identifierhttp://ridda2.utp.ac.pa/handle/123456789/6152
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4705183
dc.description.abstractThis article proposes a Similarity-Based-Modeling (SBM) approach capable of characterizing the degradation process of a lithium-ion (Li-ion) battery when discharged under different current rates and different State-of-Charge (SOC) ranges. The degradation process can be represented through a biexponential model. In this regard, it is possible to determine the equivalent cycle-by-cycle efficiency which has low values at the beginning of the degradation process until it reaches a higher and steady value. The lifespan of the batteries is analyzed through the use of Monte Carlo simulations which intends to represent a more realistic way of how the batteries are used.
dc.languageeng
dc.publisherFourth European Conference of the Prognostics and Health Management Society 2018
dc.publisherFourth European Conference of the Prognostics and Health Management Society 2018
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectLi-ion battery
dc.subjectSimilarity Based Modeling
dc.subjectState of Charge
dc.subjectState of Health
dc.subjectBattery Lifespan
dc.subjectLi-ion battery
dc.subjectSimilarity Based Modeling
dc.subjectState of Charge
dc.subjectState of Health
dc.subjectBattery Lifespan
dc.titleCharacterizing the degradation process of Lithium-Ion Batteries using a Similarity-Based-Modeling Approach
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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