101179 20240122154814.0 doi 10.1109/IECON.2019.8926907 sideral 122954 ART-2019-122954 eng Pastor-Flores, P. Universidad de Zaragoza (orcid)0000-0002-7897-3596 Analysis of Li-ion battery degradation using self-organizing maps 2019 Access copy available to the general public Unrestricted This paper proposes a new methodology to identify the different degradation processes of Li-Ion battery cells. The goal of this study is to determine if different degradation factors can be separated by waveform analysis from aged cells with similar remaining capacity. In contrast to other works, the proposed method identifies the past operating conditions in the cell, regardless of the actual State of Health. The methodology is based on a data-driven approach by using a SOM (Self-organizing map), an unsupervised neural network. To verify the hypothesis a SOM has been trained with laboratory data from whole data cycles, to classify cells concerning their degradation path and according to their discharge voltage patterns. Additionally, this new methodology based on the SOM allows discriminating groups of cells with different cycling conditions (based on depth of discharge, ambient temperature and discharge current). This research line is very promising for classification of used cells, not only depending on their current static parameters (capacity, impedance), but also the battery use in their past life. This will allow making predictions of the Remaining Useful Life (RUL) of a battery with greater precision. info:eu-repo/grantAgreement/ES/DGA-FEDER/RIS3-LMP16-18 info:eu-repo/grantAgreement/ES/MINECO/RTC-2015-3358-5 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Bernal-Ruiz, C. Universidad de Zaragoza (orcid)0000-0001-9334-4870 Sanz-Gorrachategui, I. (orcid)0000-0003-0198-5094 Bono-Nuez, A. Universidad de Zaragoza (orcid)0000-0001-5664-7063 Martin-Del-Brio, B. Universidad de Zaragoza (orcid)0000-0002-3643-2847 Artal-Sevil, J.S. Universidad de Zaragoza (orcid)0000-0001-7764-235X Perez-Cebolla, F.J. Universidad de Zaragoza (orcid)0000-0002-3302-7862 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 2019, 10 (2019), 4525-4530 Proc. Annu. Conf. IEEE Ind. Electron. Soc. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society 1553-572X 1111286 http://zaguan.unizar.es/record/101179/files/texto_completo.pdf Postprint 2945313 http://zaguan.unizar.es/record/101179/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:101179 articulos driver 2024-01-22-15:35:11 ARTICLE