Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges

 

Authors
Perez, Aramis; L. Quintero, Vanessa; Rozas, Heraldo; Jaramillo, Francisco; Moreno, Rodrigo; Orchard, Marcos
Format
Article
Status
publishedVersion
Description

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.
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.

Publication Year
2019
Language
eng
Topic
Monte Carlo simulations
Coulombic efficiency
erratic charge-discharge cycles
regular charge-discharge cycles
capacity degradation
degradation process
Monte Carlo simulations
Coulombic efficiency
erratic charge-discharge cycles
regular charge-discharge cycles
capacity degradation
degradation process
Repository
RI de Documento Digitales de Acceso Abierto de la UTP
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https://ieeexplore.ieee.org/document/8102703/
http://ridda2.utp.ac.pa/handle/123456789/6161
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