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

  • Aramis Pérez
  • , Vanessa Quintero
  • , Heraldo Rozas
  • , Francisco Jaramillo
  • , Rodrigo Moreno
  • , Marcos Orchard

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

21 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas860-865
Número de páginas6
ISBN (versión digital)9781509064656
DOI
EstadoPublicada - 8 nov 2017
Publicado de forma externaSí
Evento4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 - Barcelona, Espana
Duración: 5 abr 2017 → 7 abr 2017

Serie de la publicación

Nombre2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
Volumen2017-January

Conferencia

Conferencia4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
País/TerritorioEspana
CiudadBarcelona
Período5/04/17 → 7/04/17

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante

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