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Distal learning of the incremental capacity curve of a LiFePO4 battery

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Distal learning of the incremental capacity curve of a LiFePO4 battery. / Sánchez, Luciano; Otero, José; González, Manuela et al.
In: Logic Journal of the IGPL, Vol. 30, No. 2, 25.03.2022, p. 301-313.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Sánchez, L, Otero, J, González, M, Anseán, D, Zülke, AA & Couso, I 2022, 'Distal learning of the incremental capacity curve of a LiFePO4 battery', Logic Journal of the IGPL, vol. 30, no. 2, pp. 301-313. https://doi.org/10.1093/jigpal/jzaa063

APA

Sánchez, L., Otero, J., González, M., Anseán, D., Zülke, A. A., & Couso, I. (2022). Distal learning of the incremental capacity curve of a LiFePO4 battery. Logic Journal of the IGPL, 30(2), 301-313. https://doi.org/10.1093/jigpal/jzaa063

Vancouver

Sánchez L, Otero J, González M, Anseán D, Zülke AA, Couso I. Distal learning of the incremental capacity curve of a LiFePO4 battery. Logic Journal of the IGPL. 2022 Mar 25;30(2):301-313. Epub 2020 Nov 2. doi: 10.1093/jigpal/jzaa063

Author

Sánchez, Luciano ; Otero, José ; González, Manuela et al. / Distal learning of the incremental capacity curve of a LiFePO4 battery. In: Logic Journal of the IGPL. 2022 ; Vol. 30, No. 2. pp. 301-313.

Bibtex

@article{a3e35ff5432a4a60bec46b07f357a549,
title = "Distal learning of the incremental capacity curve of a LiFePO4 battery",
abstract = "Abstract An intelligent model of the incremental capacity (IC) curve of an automotive lithium-ferrophosphate battery is presented. The relative heights of the two major peaks of the IC curve can be acquired from high-current discharges, thus enabling the state of health estimation of the battery while the vehicle is being operated and in certain cases, aging mechanisms can be suggested. Our model has been validated using a large dataset (number of batteries) representing different degradation scenarios, obtained from a recently available open-source database.",
keywords = "Logic",
author = "Luciano S{\'a}nchez and Jos{\'e} Otero and Manuela Gonz{\'a}lez and David Anse{\'a}n and Z{\"u}lke, {Alana A} and In{\'e}s Couso",
year = "2022",
month = mar,
day = "25",
doi = "10.1093/jigpal/jzaa063",
language = "English",
volume = "30",
pages = "301--313",
journal = "Logic Journal of the IGPL",
issn = "1367-0751",
publisher = "Oxford University Press (OUP)",
number = "2",

}

RIS

TY - JOUR

T1 - Distal learning of the incremental capacity curve of a LiFePO4 battery

AU - Sánchez, Luciano

AU - Otero, José

AU - González, Manuela

AU - Anseán, David

AU - Zülke, Alana A

AU - Couso, Inés

PY - 2022/3/25

Y1 - 2022/3/25

N2 - Abstract An intelligent model of the incremental capacity (IC) curve of an automotive lithium-ferrophosphate battery is presented. The relative heights of the two major peaks of the IC curve can be acquired from high-current discharges, thus enabling the state of health estimation of the battery while the vehicle is being operated and in certain cases, aging mechanisms can be suggested. Our model has been validated using a large dataset (number of batteries) representing different degradation scenarios, obtained from a recently available open-source database.

AB - Abstract An intelligent model of the incremental capacity (IC) curve of an automotive lithium-ferrophosphate battery is presented. The relative heights of the two major peaks of the IC curve can be acquired from high-current discharges, thus enabling the state of health estimation of the battery while the vehicle is being operated and in certain cases, aging mechanisms can be suggested. Our model has been validated using a large dataset (number of batteries) representing different degradation scenarios, obtained from a recently available open-source database.

KW - Logic

U2 - 10.1093/jigpal/jzaa063

DO - 10.1093/jigpal/jzaa063

M3 - Journal article

VL - 30

SP - 301

EP - 313

JO - Logic Journal of the IGPL

JF - Logic Journal of the IGPL

SN - 1367-0751

IS - 2

ER -