State of health estimation using machine learning for li-ion battery on electric vehicles

dc.contributor.author	Bandara, Thannehene Gedara Thusith
dc.contributor.author	Álvarez Antón, Juan Carlos
dc.contributor.author	González Vega, Manuela
dc.contributor.author	Anseán González, David
dc.contributor.author	Viera Pérez, Juan Carlos
dc.date.accessioned	2022-09-06T07:28:30Z
dc.date.available	2022-09-06T07:28:30Z
dc.date.issued	2021
dc.identifier.isbn	9781665405287
dc.identifier.uri	http://hdl.handle.net/10651/64521
dc.description	IEEE Vehicle Power and Propulsion Conference (VPPC) (18th. 2021. Gijón, Spain)
dc.description.sponsorship	This work was funded by the the Spanish State Research Agency (Ministry of Science and Innovation) under Grant MCI-20-PID2019-110955RB-I00.
dc.language.iso	eng
dc.relation.ispartof	2021 IEEE vehicle power and propulsion conference, vppc 2021 - proceedings
dc.rights	© 2021 IEEE
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126189376&doi=10.1109%2fVPPC53923.2021.9699273&partnerID=40&md5=6b50e20c796bf4c6847851e4495f3986
dc.title	State of health estimation using machine learning for li-ion battery on electric vehicles
dc.type	conference output	spa
dc.identifier.doi	10.1109/VPPC53923.2021.9699273
dc.relation.projectID	MICINN/MCI-20-PID2019-110955RB-I00
dc.relation.publisherversion	http://dx.doi.org/10.1109/VPPC53923.2021.9699273

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