Characterizing the degradation process of Lithium-Ion Batteries using a Similarity-Based-Modeling Approach

 

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

This article proposes a Similarity-Based-Modeling (SBM) approach capable of characterizing the degradation process of a lithium-ion (Li-ion) battery when discharged under different current rates and different State-of-Charge (SOC) ranges. The degradation process can be represented through a biexponential model. In this regard, it is possible to determine the equivalent cycle-by-cycle efficiency which has low values at the beginning of the degradation process until it reaches a higher and steady value. The lifespan of the batteries is analyzed through the use of Monte Carlo simulations which intends to represent a more realistic way of how the batteries are used.
This article proposes a Similarity-Based-Modeling (SBM) approach capable of characterizing the degradation process of a lithium-ion (Li-ion) battery when discharged under different current rates and different State-of-Charge (SOC) ranges. The degradation process can be represented through a biexponential model. In this regard, it is possible to determine the equivalent cycle-by-cycle efficiency which has low values at the beginning of the degradation process until it reaches a higher and steady value. The lifespan of the batteries is analyzed through the use of Monte Carlo simulations which intends to represent a more realistic way of how the batteries are used.

Publication Year
2018
Language
eng
Topic
Li-ion battery
Similarity Based Modeling
State of Charge
State of Health
Battery Lifespan
Li-ion battery
Similarity Based Modeling
State of Charge
State of Health
Battery Lifespan
Repository
RI de Documento Digitales de Acceso Abierto de la UTP
Get full text
http://ridda2.utp.ac.pa/handle/123456789/6152
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/