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    • Análisis de arquitecturas de potencia parcial para aplicaciones de corriente continua 

      Anzola, Jon; Aizpuru, Iosu; GARAYALDE, ERIK; Arrizabalaga, Antxon; Mazuela, Mikel (2019)
      En este documento se analizan arquitecturas avanzadas de convertidores DC-DC que buscan reducir la potencia a manejar por estos mismos. Para ello, en primer lugar, se describen las ventajas y desventajas que presentan este ...
    • Análisis Experimental del Efecto de la Temperatura y la Tensión de Carga para la Optimización Energética de Sistemas de Almacenamiento de Instalaciones Fotovoltaicas Aisladas 

      GARAYALDE, ERIK; Aizpuru, Iosu; Canales, Jose Maria (2017)
      El presente artículo trata de optimizar el uso de las baterías en instalaciones fotovoltaicas aisladas. Por un lado se trata de aprovechar al máximo la energía almacenada a la vez que se estudian los factores que afectan ...
    • Dimensionamiento de Sistemas Fotovoltaicos con Almacenamiento Híbrido 

      GARAYALDE, ERIK; Anzola, Jon; Aizpuru, Iosu (2019)
      Los sistemas fotovoltaicos aislados de la red eléctrica están generalmente compuestos por una agrupación de paneles fotovoltaicos, un elemento de almacenamiento como baterías, un convertidor DC-DC que actúa como cargador ...
    • High Efficiency Converters Based on Modular Partial Power Processing for Fully Electric Maritime Applications 

      Anzola, Jon; GARAYALDE, ERIK; Urkizu, June; Alacano, Argiñe; Lopez Erauskin, Ramon (MDPI, 2023)
      This paper proposes an approach for analyzing the benefits that partial-power-processing-based converters can bring to fully electric maritime applications. With the aim of making the system modular and scalable to different ...
    • Hybrid energy storage systems via power electronic converters 

      GARAYALDE, ERIK (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2019)
      In recent years, many research lines have focused their efforts on improving energy efficiency and developing renewable energy sources. In this context, the use of energy storage systems is on the rise, as they can contribute ...
    • Intuitive Degradation Mode Estimation Tool: ModEst 

      Fernandez Gonzalez, Sergio; Lopetegi, Iker; Oca, Laura; Yeregui, Josu; GARAYALDE, ERIK; Iraola Iriondo, Unai (IEEE, 2024)
      Battery ageing is one of the main concerns in most battery applications. To reduce this degradation rate, it is key to understand how batteries age. However, the diagnosis of battery ageing is very challenging due to the ...
    • 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 ...
    • On-site estimation of battery electrochemical parameters with physics-informed neural networks in dynamic current profiles 

      Yeregui, Josu; Etxeberria, Malen; GARAYALDE, ERIK; IRAOLA, UNAI (2025)
      The accurate on-site estimation of battery electrochemical parameters is crucial for optimal battery management, enabling advanced control strategies and reliable prognostics. However, physics-based methods often suffer ...
    • Partial state-of-charge mitigation in standalone photovoltaic hybrid storage systems 

      GARAYALDE, ERIK; Aizpuru, Iosu; Canales, Jose Maria (MPDI, 2019)
      Energy Storage in photovoltaic installations has increased in popularity in recent years due to the improvement in solar panel technology and energy storage systems. In several places where the grid is not available, in ...
    • Small-Signal Analysis of Digitally Controlled DAB Converter Under Transient Dc-Bias Current Elimination Strategies 

      Aizpurua, Manex; GARAYALDE, ERIK; Spiazzi, Giorgio (IEEE, 2025)
      A discrete-time small-signal modelling strategy is developed for the dual active bridge converter operating under modulation strategies for transient dc-bias inductor current suppression. Most of these techniques consist ...
    • 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 ...

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