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dc.contributor.authorPerez, Aramis
dc.contributor.authorL. Quintero, Vanessa
dc.contributor.authorRozas, Heraldo
dc.contributor.authorJaramillo, Francisco
dc.contributor.authorMoreno, Rodrigo
dc.contributor.authorOrchard, Marcos
dc.date.accessioned2019-07-02T18:21:51Z
dc.date.available2019-07-02T18:21:51Z
dc.date.issued11/09/2017
dc.date.issued11/09/2017
dc.identifierhttps://ieeexplore.ieee.org/document/8102703/
dc.identifier.issn978-1-5090-6465-6
dc.identifier.other10.1109/CoDIT.2017.8102703
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/6161
dc.descriptionManufacturers of lithium-ion batteries inform capacity degradation for regular, symmetrical charge/discharge cycles, which is clearly problematic in real life applications where charge/discharge cycles are hardly regular. In this context, this paper presents a methodology that can model the degradation of lithium-ion batteries when these are charged and discharged erratically. The proposed methodology can model degradation of a lithium-ion battery type subject to erratic charge/discharge cycles where degradation data under symmetrical charge/discharge cycles (namely, under a standard protocol) has been provided by the manufacturer. To do so we use the concepts of (i) SOC swing, (ii) average swing range and (iii) Coulombic efficiency to model the degradation process in a simple manner through interpolation techniques. We use both deterministic and Monte Carlo simulations to obtain capacity degradation as a function of the number of cycles.en_US
dc.description.abstractManufacturers of lithium-ion batteries inform capacity degradation for regular, symmetrical charge/discharge cycles, which is clearly problematic in real life applications where charge/discharge cycles are hardly regular. In this context, this paper presents a methodology that can model the degradation of lithium-ion batteries when these are charged and discharged erratically. The proposed methodology can model degradation of a lithium-ion battery type subject to erratic charge/discharge cycles where degradation data under symmetrical charge/discharge cycles (namely, under a standard protocol) has been provided by the manufacturer. To do so we use the concepts of (i) SOC swing, (ii) average swing range and (iii) Coulombic efficiency to model the degradation process in a simple manner through interpolation techniques. We use both deterministic and Monte Carlo simulations to obtain capacity degradation as a function of the number of cycles.en_US
dc.formatapplication/pdf
dc.formattext/html
dc.languageeng
dc.publisher2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)en_US
dc.publisher2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectMonte Carlo simulationsen_US
dc.subjectCoulombic efficiencyen_US
dc.subjecterratic charge-discharge cyclesen_US
dc.subjectregular charge-discharge cyclesen_US
dc.subjectcapacity degradationen_US
dc.subjectdegradation processen_US
dc.subjectMonte Carlo simulations
dc.subjectCoulombic efficiency
dc.subjecterratic charge-discharge cycles
dc.subjectregular charge-discharge cycles
dc.subjectcapacity degradation
dc.subjectdegradation process
dc.titleModelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing rangesen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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