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    • Comparison between Bernardi’s equation and Heat Flux Sensor measurement as Battery Heat Generation Estimation Method 

      Miguel, Eduardo; Oca, Laura; IRAOLA, UNAI; Gallo, Marlon (2022)
      The heat generation of an energy storage system is an essential topic when designing a battery pack and its cooling system. Heat generation estimation is used together with thermal models to predict battery temperature in ...
    • 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 ...
    • Development and validation of li-ion battery state algorithms capable of adapting to new chemistries 

      Azkue, Markel (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
      Recognized as the bedrock of modern energy storage, lithium-ion batteries (Li-ion) have ascended to become an integral component in a large number of applications, which span from ubiquitous devices like smartphones and ...
    • Dynamic Wireless Power Transfer DWPT Time Domain model: xyz position and speed coupling effect 

      Aizpuru, Iosu; Agirrezabala, Eneko; Mazuela, Mikel; IRAOLA, UNAI (IEEE, 2022)
      The paper presents a DWPT system time domain model which considers speed and position (x, y, z) coupling effects. The speed effect compared to static WPT, presents an active behavior that should be considered during the ...
    • Electro-thermal optimization of an energy storage sytem based on Li-Ion batteries 

      IRAOLA, UNAI (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2014)
      Advances in the field of energy have contributed significantly to the development of our society. The increase of the energy consumption joined to the possible extinction of fossil fuels requires finding the maximum ...
    • 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 ...
    • Impact of silicon carbide devices in 2 MW DFIG based wind energy system 

      Arrizabalaga, Antxon; Idarreta Garate, Aitor; Mazuela, Mikel; Aizpuru, Iosu; IRAOLA, UNAI (IEEE, 2020)
      Renewable energies are going through a major increment, mainly wind and photovoltaic energies, being market competitiveness the main driver for their massive penetration. As power converters are used to interface renewable ...
    • Integración de Carburo de silicio para aumentar el AEP de sistemas de generación eólica basados en DFIG 

      Arrizabalaga, Antxon; Idarreta Garate, Aitor; Mazuela, Mikel; Aizpuru, Iosu; IRAOLA, UNAI (2020)
      Gracias a sus prestaciones superiores en comparación con los semiconductores de silicio actuales, los semiconductores de carburo de silicio suponen una tecnología con potencial para aumentar la producción energética anual ...
    • Integration of Silicon Carbide devices to increase the AEP (Annual Energy Production) in a PM based wind generation system 

      Arrizabalaga, Antxon; Mazuela, Mikel; Idarreta Garate, Aitor; IRAOLA, UNAI; Aizpuru, Iosu (IEEE, 2020)
      A radical energetic change is needed nowadays and enhancing renewable energies should play a main role. For its superior performance and lower losses, SiC devices are identified as a potential technology to improve wind ...
    • Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data 

      Azkue, Markel; Oca, Laura; IRAOLA, UNAI (2022)
      The development of State-of-Charge (SoC) algorithms for Li-ion batteries involves carrying out different laboratory tests with the money and time that this entails. Furthermore, such laboratory labours must typically be ...
    • Lithium-ion Battery Aging Prediction with Electrochemical Models: P2D vs SPMe 

      Lopetegi, Iker; Yeregui, Josu; Oca, Laura; Rojas Garcia, Clara; IRAOLA, UNAI (IEEE, 2023)
      Battery aging models are essential tools when predicting how much a battery will age under certain working conditions, which is key when sizing a battery pack and controlling its operation. Nowadays, mostly empirical battery ...
    • 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)
    • Methodology for thermal modelling of lithium-ion batteries 

      IRAOLA, UNAI; Aizpuru, Iosu; Canales, Jose Maria; Etxeberria Larrazabal, Ander; Gil, Imanol (IEEE, 2013)
      Temperature is a determinant parameter in terms of performance, lifespan and safety working with li-ion batteries. Working above 45°C, in hot climates, has direct influence in the cycle life of the battery and can cause a ...
    • Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models 

      Dorronsoro, Xabier; GARAYALDE, ERIK; IRAOLA, UNAI (IEEE, 2023)
      This paper presents an energy management algorithm for an Electric Vehicle (EV) charging station equipped with solar energy generation and local battery-based storage. For this purpose, a practical electric, thermal, and ...
    • 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 ...
    • Modular Battery Energy Storage Systems for Available Energy Increase 

      Dorronsoro, Xabier; Lopetegi, Iker; GARAYALDE, ERIK; IRAOLA, UNAI; Yeregui, Josu (IEEE, 2022)
      The aim of this work is to dive into the available energy of different configurations of battery packs, a vital factor when it comes to improving the driving range of electric vehicles. To that end, two different storage ...
    • Modular Battery Systems’ Accessible Energy Analysis 

      Dorronsoro, Xabier; GARAYALDE, ERIK; IRAOLA, UNAI; Aizpurua, Manex (2022)
      One of the main concerns regarding traditional battery energy storage systems (BESS) is how to solve issues related to cell inhomogeneities. This problem commonly ends up reducing the accessible energy level, especially ...
    • Modular BESS architecture for enhanced performance and extended lifetime 

      Aizpurua, Manex; GARAYALDE, ERIK; Lopetegi, Iker; Yeregui, Josu; Dorronsoro, Xabier; IRAOLA, UNAI (IEEE, 2024)
      This paper evaluates and compares the performances of non-modular and modular battery systems. The modular architecture consists of several battery modules that are individually controlled by means of their corresponding ...
    • Module-Level Modelling Approach for a Cloudbased Digital Twin Platform for Li-Ion Batteries 

      Miguel, Eduardo; IRAOLA, UNAI (IEEE, 2022)
      The pursue of the new increasingly intelligent, and heavier state estimation algorithms requires a significant amount of data and computing power, which may challenge their deployment in current BMS solutions. To address ...

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