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2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018(1)
2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings(1)
IEEE Latin America Transactions(1)
Proceedings of the IEEE International Conference on Industrial Technology(1)
Analysis of machine learning techniques for the intelligent diagnosis of Ni-MH battery cells
Conference ObjectAbstract: This paper presents a comparison of different machine learning techniques for classification of thePalabras claves:Classifier, Hybrid electric vehicle, Machine learning, Ni-MHAutores:Cristian L. García, Felipe A. Berrezueta, Gina Pamela Quirola Novillo, Juan Paul Ortiz, Juan ValladolidFuentes:googlescopusContinual Refoircement Learning Using Real-World Data for Intelligent Pbkp_rediction of SOC Consumption in Electric Vehicles
ArticleAbstract: The accelerated migration towards electric vehicles (EV) presents several problems to solve. The maiPalabras claves:Electric vehicles (EV), Meta-experience replay (MER, Neural networks (NN), principal component analysis (PCA), Reinforcementlearning (RL), State of Charge (SOC)Autores:Angel R. Cardenas, Diego R. Cabrera, German P. Ayabaca, Juan Paul Ortiz, Juan ValladolidFuentes:scopusProposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data
Conference ObjectAbstract: This document details the proposals of fuzzy controllers for improving the operating characteristicsPalabras claves:Driving style, electric vehicle, Fuzzy controller, Target trackingAutores:Dario Paladines, Joffre Vidal, Juan Valladolid, Patino D.Fuentes:googlescopusState of charge estimation of lifepo4 battery used in electric vehicles using support vector regression, PCA and DP battery model
Conference ObjectAbstract: This paper presents a new methodology for Stateof- Charge (SoC) estimation based on Support Vector RPalabras claves:Electric vehicle (EV), LiFePO4 Battery, Modeling, principal component analysis (PCA), State of Charge (SOC), Support Vector Regression (SVR)Autores:Gajani G.S., Gruosso G., Juan Valladolid, Patino D., Ruiz F.Fuentes:googlescopus