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dc.contributor.authorLopetegi, Iker
dc.contributor.authorOca, Laura
dc.contributor.authorFernandez Gonzalez, Sergio
dc.date.accessioned2025-01-29T10:21:30Z
dc.date.available2025-01-29T10:21:30Z
dc.date.issued2024
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=180097en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6887
dc.description.abstractThe software itself is a tool capable of estimating Li-ion battery degradation modes. Battery degradation modes group different battery degradation mechanism into three main degradation modes: Loss of Active Material (LAM) of both electrodes and Loss of Lithium Inventory (LLI). The core of the tool is a multi-objective optimization algorithm programmed inside MATLAB (any operative system which enables MATLAB’s utilization is valid), thus, using MATLAB’s programming language. Being more specific, MATLAB’s gamultiobj (multi-objective genetic algorithm) is used. The tool can be used in a wide range of applications including lithium-ion batteries. First and foremost, as a degradation diagnosing tool during their operating lifetime. In addition, the tool can be used for electrode balancing purposes, which is applicable in several modelling and characterisation applications. First disclosure of this software was in the 11th Mar 2024 for the ECCE EUROPE 2024 first submission in the article named “Intuitive Degradation Mode Estimation Tool: ModEst”.es
dc.language.isoengen
dc.rights© 2024 The Authorsen
dc.titleModEst: battery degradation mode estimation toolen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
local.contributor.groupAlmacenamiento de energíaes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.48764/pcts-6p24
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_2f33en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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