Zerrendatu Artikuluak-Ingeniaritza honen arabera: egilea "c9ddd451c7b28b8d68004036eb18c745"
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Creating a Robust SoC Estimation Algorithm Based on LSTM Units and Trained with Synthetic Data
Azkue, Markel; Miguel, Eduardo; Oca, Laura; IRAOLA, UNAI (MDPI, 2023)Creating SoC algorithms for Li-ion batteries based on neural networks requires a large amount of training data, since it is necessary to test the batteries under different conditions so that the algorithm learns the ... -
Electrochemical Model and Sigma Point Kalman Filter Based Online Oriented Battery Model
Miguel, Eduardo; Lopetegi, Iker; Oca, Laura; IRAOLA, UNAI (IEEE, 2021)This paper presents a reduced-order electrochemical battery model designed for online implementation of battery control systems. This model is based on porous-electrode and concentratedsolution theory frameworks and is ... -
Lithium-ion Capacitor Safety Assessment under Electrical Abuse Tests based on Ultrasound Characterization and Cell Opening
Oca, Laura; IRAOLA, UNAI (Elsevier, 2019)Safety issues related to lithium-ion batteries are a driving force in the search for new energy storage systems. Lithium-ion capacitors are becoming recognised as promising devices to address the question of safety. These ... -
Medium-Voltage AC Static Switch Solution to Feed Neutral Section in a High-Speed Railway System
Canales, Jose Maria; Aizpuru, Iosu; IRAOLA, UNAI; Barrena, Jon Andoni; Barrenetxea, Manex (MDPI AG, 2018) -
Modular battery energy storage system design factors analysis to improve battery-pack reliability
Dorronsoro, Xabier; GARAYALDE, ERIK; IRAOLA, UNAI (Elsevier, 2022)Traditional battery energy storage systems (BESS) are based on the series/parallel connections of big amounts of cells. However, as the cell to cell imbalances tend to rise over time, the cycle life of the battery-pack is ... -
A New Battery SOC/SOH/eSOH Estimation Method Using a PBM and Interconnected SPKFs: Part I. SOC and Internal Variable Estimation
Lopetegi, Iker; Oca, Laura; IRAOLA, UNAI (IOP Publishing, 2024)Battery management systems (BMSs) are required to estimate many non-measurable values that describe the actual operating condition of batteries; such as the state of charge (SOC) or the state of health (SOH). In order to ... -
A New Battery SOC/SOH/eSOH Estimation Method Using a PBM and Interconnected SPKFs: Part II. SOH and eSOH Estimation
Lopetegi, Iker; Oca, Laura; IRAOLA, UNAI (IOP Publishing, 2024)Battery management systems (BMSs) are required to estimate many non-measurable values that describe the actual operating condition of batteries; such as state of charge (SOC) or state of health (SOH). In order to improve ... -
A new equivalent circuit model parametrization methodology based on current pulse tests for different battery technologies
Arregi, Oier; Agirrezabala, Eneko; IRAOLA, UNAI; Yeregui, Josu (MDPI, 2021)With growing global commitment to renewable energy generation, the role of energy storage systems has become a central issue in traction power applications, such as electric vehicles, trains, and elevators. To achieve the ... -
Physico-chemical parameter measurement and model response evaluation for a pseudo-two-dimensional model of a commercial lithium-ion battery
Oca, Laura; Miguel Garcia de Cortazar, Eduardo; Agirrezabala, Eneko; IRAOLA, UNAI (Elsevier, 2021)To effectively evaluate battery performance by means of electrochemical modelling, a consistent set of parameters is essential. The aim of this work is to provide a complete physico-chemical methodology to measure all the ... -
Review of computational parameter estimation methods for electrochemical models
Miguel, Eduardo; Oca, Laura; IRAOLA, UNAI (Elsevier Ltd, 2021)Electrochemical models are an incipient technique for estimation of battery cells internal variables, useful for cells design or state of function optimization. One of the non-trivial procedures that allow the use of this ... -
State of charge estimation combining physics-based and artificial intelligence models for Lithium-ion batteries
Yeregui, Josu; Oca, Laura; Lopetegi, Iker; GARAYALDE, ERIK; Aizpurua, Manex; IRAOLA, UNAI (Elsevier, 2023)This paper presents a sequential model based on Physic Based Models (PBM) and Artificial Intelligence Models (AI) focused on the estimation of the State of Charge (SoC). The PBM can provide interesting information about ...