David Anseán
Orcid: 0000-0002-7221-5217
According to our database1,
David Anseán authored at least 12 papers
between 2016 and 2025.
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Bibliography
2025
Proceedings of the IEEE International Workshop on Metrology for Automotive, 2025
Adaptive C-rate method for accurate cell-to-cell characterization in rechargeable batteries.
Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025
2023
Learning remaining useful life with incomplete health information: A case study on battery deterioration assessment.
Array, December, 2023
2022
Log. J. IGPL, 2022
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022
2020
Health assessment of LFP automotive batteries using a fractional-order neural network.
Neurocomputing, 2020
2019
Using Fuzzy Preference Orderings in θ-Dominance with Application to Health Monitoring of Li-Ion Batteries.
J. Multiple Valued Log. Soft Comput., 2019
Online Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
2018
Assessing the Health of LiFePO<sub>4</sub> Traction Batteries through Monotonic Echo State Networks.
Sensors, 2018
2017
A Model-Based Virtual Sensor for Condition Monitoring of Li-Ion Batteries in Cyber-Physical Vehicle Systems.
J. Sensors, 2017
Health Assessment of Automotive Batteries Through Computational Intelligence-Based Soft Sensors: An Empirical Study.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
2016
Multiphase resonant converter with output current multiplier for battery charger applications.
Proceedings of the IECON 2016, 2016