RUO Principal

Repositorio Institucional de la Universidad de Oviedo

Ver ítem 
  •   RUO Principal
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • Ver ítem
  •   RUO Principal
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • Ver ítem
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Listar

Todo RUOComunidades y ColeccionesPor fecha de publicaciónAutoresTítulosMateriasxmlui.ArtifactBrowser.Navigation.browse_issnPerfil de autorEsta colecciónPor fecha de publicaciónAutoresTítulosMateriasxmlui.ArtifactBrowser.Navigation.browse_issn

Mi cuenta

AccederRegistro

Estadísticas

Ver Estadísticas de uso

AÑADIDO RECIENTEMENTE

Novedades
Repositorio
Cómo publicar
Recursos
FAQs

Lithium-Ion Battery Degradation Indicators Via Incremental Capacity Analysis

Autor(es) y otros:
Anseán González, DavidAutoridad Uniovi; García Fernández, Víctor ManuelAutoridad Uniovi; González Vega, ManuelaAutoridad Uniovi; Blanco Viejo, Cecilio JoséAutoridad Uniovi; Viera Pérez, Juan CarlosAutoridad Uniovi; Fernández Pulido, YoanaAutoridad Uniovi; Sánchez Ramos, LucianoAutoridad Uniovi
Palabra(s) clave:

Battery degradation modes

Incremental capacity (IC) analysis

Lithium-ion battery (LIB)

Lookup tables

Fecha de publicación:
2019-05
Versión del editor:
http://dx.doi.org/10.1109/TIA.2019.2891213
Citación:
IEEE Transactions on Industry Applications, 55(3) (2019); doi:10.1109/TIA.2019.2891213
Descripción física:
p. 2992-3002
Resumen:

Abstract—Lithium-ion battery (LIB)degradation originates from complex mechanisms, usually interacting simultaneously in various degrees of intensity. Due to its complexity, to date, identifying battery aging mechanisms remains challenging. Recent improvements in battery degradation identification have been developed,including validated, in situ incremental capacity (IC) and peak area (PA) analysis. Due to their in situ and non-destructive nature, IC and PA implementation is feasible in on-board battery management systems (BMSs). Despite their advantages, the understanding and applicability of IC and PA techniques is not straightforward, as it requires both electrochemical and material science backgrounds. However, BMS design teams are mainly integrated by electrical engineers and may not include battery scientists. Aiming to bridge gaps in knowledge between electrical engineering and battery science toward battery degradation identification, here we present a systematic approach consisting in a set of lookup tables generated from IC and PA techniques. The lookup tables provide a simple, yet reliable, tool for the evaluation of LIB degradation modes. Various real-life examples of cell degradation are also presented to illustrate and validate the use of the proposed approach. This study exemplifies the use of lookup tables providing a simple, fast, and accurate automated estimation of LIB degradation modes to be implemented in BMSs.

Abstract—Lithium-ion battery (LIB)degradation originates from complex mechanisms, usually interacting simultaneously in various degrees of intensity. Due to its complexity, to date, identifying battery aging mechanisms remains challenging. Recent improvements in battery degradation identification have been developed,including validated, in situ incremental capacity (IC) and peak area (PA) analysis. Due to their in situ and non-destructive nature, IC and PA implementation is feasible in on-board battery management systems (BMSs). Despite their advantages, the understanding and applicability of IC and PA techniques is not straightforward, as it requires both electrochemical and material science backgrounds. However, BMS design teams are mainly integrated by electrical engineers and may not include battery scientists. Aiming to bridge gaps in knowledge between electrical engineering and battery science toward battery degradation identification, here we present a systematic approach consisting in a set of lookup tables generated from IC and PA techniques. The lookup tables provide a simple, yet reliable, tool for the evaluation of LIB degradation modes. Various real-life examples of cell degradation are also presented to illustrate and validate the use of the proposed approach. This study exemplifies the use of lookup tables providing a simple, fast, and accurate automated estimation of LIB degradation modes to be implemented in BMSs.

URI:
http://hdl.handle.net/10651/56927
ISSN:
0093-9994
DOI:
10.1109/TIA.2019.2891213
Patrocinado por:

This work was supported in part by the Science and Innovation Ministry and in part by FEDER, under Projects DPI2013-046541-R, TIN2014-56967-R, TEC2016-80700-R (AEI/FEDER, UE), and TIN2017-84804-R

Colecciones
  • Artículos [37534]
  • Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas [1086]
  • Investigaciones y Documentos OpenAIRE [8350]
Ficheros en el ítem
Thumbnail
untranslated
Postprint (7.245Mb)
Métricas
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadatos
Mostrar el registro completo del ítem
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
El contenido del Repositorio, a menos que se indique lo contrario, está protegido con una licencia Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Creative Commons Image