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  • About eBiltegia  
    • What is eBiltegia? 
    •   About eBiltegia
    •   Publish your research in open access
    • Open Access at MU 
    •   What is Open Science?
    •   Mondragon Unibertsitatea's Institutional Policy on Open Access to scientific documents and teaching materials
    •   Mondragon Unibertsitatea's Institutional Open Access Policy for Research Data
    •   eBiltegia Digital Preservation Guidelines
    •   The Library compiles and disseminates your publications
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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 ...

Data-based traffic profile generation tool for electric vehicle charging stations 

Yeregui, Josu; Urkizu, June; Aizpuru, Iosu (IEEE, 2023)
This paper presents a tool to generate realistic traffic profiles in Electric Vehicle (EV) charging stations. The tool emulates non-deterministic traffic cases based on data from similar applications. This obtained data ...

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 ...
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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 ...

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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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 ...
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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 ...

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AuthorYeregui, Josu (7)IRAOLA, UNAI (5)Lopetegi, Iker (5)GARAYALDE, ERIK (4)Oca, Laura (3)Aizpurua, Manex (2)Dorronsoro, Xabier (2)Agirrezabala, Eneko (1)Aizpuru, Iosu (1)Arregi, Oier (1)... View MoreSubjectODS 7 Energía asequible y no contaminante (3)Batteries (2)Ageing prediction (1)aging (1)Battery aging (1)Battery energy storage (1)Charging stations (1)Computational efficiency (1)Computational modeling (1)Costs (1)... View MoreDate Issued2023 (3)2024 (2)2021 (1)2022 (1)Has File(s)Yes (7)

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Harvested by:

OpenAIREBASERecolecta

Validated by:

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Contact Us | Send Feedback
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