Publicaciones en las que colabora con LUCIANO SANCHEZ RAMOS (29)

2023

  1. Learning remaining useful life with incomplete health information: A case study on battery deterioration assessment

    Array, Vol. 20

2022

  1. Distal learning of the incremental capacity curve of a LiFePO4battery

    Logic Journal of the IGPL, Vol. 30, Núm. 2, pp. 301-313

  2. Informed Weak Supervision for Battery Deterioration Level Labeling

    Communications in Computer and Information Science

  3. Li-ion battery degradation modes diagnosis via Convolutional Neural Networks

    Journal of Energy Storage, Vol. 55

2020

  1. Fast charging protocols based on pulse-modulation with varying relaxation for electric vehicle li-ion cells

    2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings

  2. Health Monitoring of Automotive Batteries in Fast-Charging Conditions Through a Fuzzy Model of the Incremental Capacity

    Studies in Computational Intelligence (Springer), pp. 155-164

  3. Health assessment of LFP automotive batteries using a fractional-order neural network

    Neurocomputing, Vol. 391, pp. 345-354

  4. Identification of Li-ion battery models through monotonic echo serial networks for coarse data

    Logic Journal of the IGPL, Vol. 28, Núm. 1, pp. 109-120

  5. Online Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model

    Advances in Intelligent Systems and Computing

2019

  1. Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming

    Engineering Applications of Artificial Intelligence, Vol. 86, pp. 1-10

  2. Lithium-Ion Battery Degradation Indicators Via Incremental Capacity Analysis

    IEEE Transactions on Industry Applications, Vol. 55, Núm. 3, pp. 2992-3002

  3. Using Fuzzy Preference Orderings in θ-Dominance with Application to Health Monitoring of Li-Ion Batteries

    Journal of Multiple-Valued Logic and Soft Computing, Vol. 32, Núm. 3-4, pp. 343-367

2018

  1. Assessing the health of LiFePo4 traction batteries through monotonic echo state networks

    Sensors (Switzerland), Vol. 18, Núm. 1

  2. Health assessment of automotive batteries through computational intelligence-based soft sensors: An empirical study

    Advances in Intelligent Systems and Computing

2017

  1. A Model-Based Virtual Sensor for Condition Monitoring of Li-Ion Batteries in Cyber-Physical Vehicle Systems

    Journal of Sensors, Vol. 2017

  2. A class of Monotone Fuzzy rule-based Wiener systems with an application to Li-ion battery modelling

    Engineering Applications of Artificial Intelligence, Vol. 64, pp. 367-377

2016

  1. Assessment of Multi-Objective Optimization Algorithms for parametric identification of a Li-Ion battery model

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Battery diagnosis for electrical vehicles through semi-physical fuzzy models

    2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

  3. Genetic fuzzy modelling of li-ion batteries through a combination of theta-DEA and knowledge-based preference ordering

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015

  1. A variable effective capacity model for LiFePO4 traction batteries using computational intelligence techniques

    IEEE Transactions on Industrial Electronics, Vol. 62, Núm. 1, pp. 555-563