David Anseán

According to our database, David Anseán authored at least 11 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Impact of Sensor Positioning on Temperature Measurement Accuracy in Battery Modules.

Filippo Gerbino, Davide Spaggiari, Ane Sainz de la Maza, Edorta Ibarra, David Anseán, Danilo Santoro

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2025

2023

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

Luciano Sánchez, Nahuel Costa, José Otero, David Anseán, Inés Couso

Array, December, 2023

2022

Distal learning of the incremental capacity curve of a LiFePO4 battery.

Luciano Sánchez, José Otero, Manuela González Vega, David Anseán, Alana A. Zülke, Inés Couso

Log. J. IGPL, 2022

Informed Weak Supervision for Battery Deterioration Level Labeling.

Luciano Sánchez, Nahuel Costa, David Anseán, Inés Couso

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.

Luciano Sánchez, José Otero, David Anseán, Inés Couso

Neurocomputing, 2020

2019

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

Yuviny Echevarría, Inés Couso, David Anseán, Cecilio Blanco Viejo, Luciano Sánchez

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.

Luciano Sánchez, José Otero, Manuela González Vega, David Anseán, Inés Couso

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

2018

Assessing the Health of LiFePO₄ Traction Batteries through Monotonic Echo State Networks.

Luciano Sánchez, David Anseán, José Otero, Inés Couso

Sensors, 2018

2017

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

Luciano Sánchez, Inés Couso, José Otero, Yuviny Echevarría, David Anseán

J. Sensors, 2017

Health Assessment of Automotive Batteries Through Computational Intelligence-Based Soft Sensors: An Empirical Study.

Eva Almansa, David Anseán, Inés Couso, Luciano Sánchez

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.

Christian Brañas, Juan C. Viera, Francisco J. Azcondo, Rosario Casanueva, David Anseán

Proceedings of the IECON 2016, 2016