Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges
Author
dc.contributor.author
Pérez, Aramis
Author
dc.contributor.author
Quintero, Vanessa
Author
dc.contributor.author
Rozas, Heraldo
Author
dc.contributor.author
Jaramillo, Francisco
Author
dc.contributor.author
Moreno Vieyra, Rodrigo
Author
dc.contributor.author
Orchard Concha, Marcos
Admission date
dc.date.accessioned
2019-05-29T13:41:14Z
Available date
dc.date.available
2019-05-29T13:41:14Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017, Volumen 2017-January,
Identifier
dc.identifier.other
10.1109/CoDIT.2017.8102703
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/169096
Abstract
dc.description.abstract
Manufacturers 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.