Mostrar el registro sencillo del ítem
Characterizing the degradation process of Lithium-Ion Batteries using a Similarity-Based-Modeling Approach
dc.contributor.author | L. Quintero, Vanessa | |
dc.contributor.author | Perez, Aramis | |
dc.contributor.author | Jaramillo, Francisco | |
dc.contributor.author | Orchard, Marcos | |
dc.date.accessioned | 2019-07-02T17:42:30Z | |
dc.date.available | 2019-07-02T17:42:30Z | |
dc.date.issued | 2018-07-01 | |
dc.date.issued | 2018-07-01 | |
dc.identifier.uri | http://ridda2.utp.ac.pa/handle/123456789/6152 | |
dc.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. | en_US |
dc.description.abstract | 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. | en_US |
dc.language | eng | |
dc.language.iso | eng | en_US |
dc.publisher | Fourth European Conference of the Prognostics and Health Management Society 2018 | en_US |
dc.publisher | Fourth European Conference of the Prognostics and Health Management Society 2018 | |
dc.rights | https://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | Li-ion battery | en_US |
dc.subject | Similarity Based Modeling | en_US |
dc.subject | State of Charge | en_US |
dc.subject | State of Health | en_US |
dc.subject | Battery Lifespan | en_US |
dc.subject | Li-ion battery | |
dc.subject | Similarity Based Modeling | |
dc.subject | State of Charge | |
dc.subject | State of Health | |
dc.subject | Battery Lifespan | |
dc.title | Characterizing the degradation process of Lithium-Ion Batteries using a Similarity-Based-Modeling Approach | en_US |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:eu-repo/semantics/publishedVersion |