Publicaciones (56) Publicaciones de DAVID ANSEAN GONZALEZ

2024

  1. ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection

    Journal of Power Sources, Vol. 592

  2. Modeling current-rate effects in lithium-ion batteries based on a distributed, multi-particle equivalent circuit model

    Applied Energy, Vol. 353

2023

  1. A method for the lifetime sensorless estimation of surface and core temperature in lithium-ion batteries via online updating of electrical parameters

    Journal of Energy Storage, Vol. 58

  2. A physics-based fractional-order equivalent circuit model for time and frequency-domain applications in lithium-ion batteries

    Journal of Energy Storage, Vol. 64

  3. Characterization of a commercial Nickel-Rich/Silicon-Graphite battery, under long term static and dynamic cycling

    Proceedings - 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023

  4. Corrigendum: Best practices for incremental capacity analysis (Frontiers in Energy Research, (2022), 10, (1023555), 10.3389/fenrg.2022.1023555)

    Frontiers in Energy Research

  5. Innovación en la enseñanza de los sistemas digitales programables basados en microcontroladores

    Modalidades de aprendizaje para la innovación educativa

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

    Array, Vol. 20

2022

  1. A novel Dual Fractional-Order Extended Kalman Filter for the improved estimation of battery state of charge

    Journal of Energy Storage, Vol. 56

  2. Best practices for incremental capacity analysis

    Frontiers in Energy Research, Vol. 10

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

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

  4. Informed Weak Supervision for Battery Deterioration Level Labeling

    Communications in Computer and Information Science

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

    Journal of Energy Storage, Vol. 55

  6. Strategies for Minimizing Charging Time in Commercial Nickel-Rich/Silicon-Graphite Lithium-Ion Batteries

    Batteries, Vol. 8, Núm. 12

2021

  1. Cycling study of 18650 Nickel-Rich Silicon-Graphite Lithium-Ion Batteries under different charge currents

    2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS

  2. State of Health Estimation using Machine Learning for Li-ion battery on Electric Vehicles

    2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS

2020

  1. Characterization of lithium-ion silicon-graphite 18650 cells under driving cycles

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

  2. Evaluation of commercial 18650 nickel-rich / silicon-graphite batteries for high energy density applications

    Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020

  3. 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

  4. 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