2026-04-21T19:25:51Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/68872025-02-12T12:34:36Zcom_20.500.11984_1136col_20.500.11984_1141

Lopetegi, Iker Oca, Laura Fernandez Gonzalez, Sergio 2025-01-29T10:21:30Z 2025-01-29T10:21:30Z 2024 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=180097 https://hdl.handle.net/20.500.11984/6887 The 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”. eng © 2024 The Authors ModEst: battery degradation mode estimation tool http://purl.org/coar/resource_type/c_2f33