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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Capítulos de libros >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/55225

Title: Health Monitoring of Automotive Batteries in Fast-Charging Conditions Through a Fuzzy Model of the Incremental Capacity
Author(s): Sánchez Ramos, Luciano
Otero Rodríguez, José
Couso Blanco, Inés
Anseán González, David
Issue date: 2020
Publisher version: http://dx.doi.org/10.1007/978-3-030-34409-2_9
Citation: Sánchez, L., Otero, J., Couso, I., y Anseán, D. (2020). Health Monitoring of Automotive Batteries in Fast-Charging Conditions Through a Fuzzy Model of the Incremental Capacity. En Llanes Santiago, O. et al. (Eds.), Computational Intelligence in Emerging Technologies for Engineering Applications (pp. 155-164). Cham : Springer International Publishing.
Format extent: p. 155-164
URI: http://hdl.handle.net/10651/55225
ISSN: 1860-949X
Sponsored: This work has been funded by the Ministry of Science and Innovation of the Government of Spain, Regional Ministry of the Principado de Asturias and by the FEDER funds of the European Community through projects with codes FC-IDI/2018/000226, TEC2016-80700-R (AEI / FEDER, UE) and TIN2017-84804-R.
Project id.: FC-IDI/2018/000226
AEI/FEDER/TEC2016-80700-R
TIN2017-84804-R
Appears in Collections:Capítulos de libros

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