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24-tik 1-20 emaitza erakusten

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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 ...
    • A critical look at efficient parameter estimation methodologies of electrochemical models for Lithium-Ion cells 

      Rojas Garcia, Clara; Oca, Laura; Lopetegi, Iker; IRAOLA, UNAI; Carrasco, Javier (Elsevier, 2024)
      Physics-Based Models (PBMs) offer a promising approach to develop advanced battery management systems that rely on information about the internal states of battery cells. The reliability of model predictions heavily depends ...
    • Design and validation of a predictive energy management strategy for self-consumption in tertiary buildings 

      Oca, Laura (IEEE, 2022)
      This work presents a predictive energy management strategy for self-consumption in tertiary buildings. The self-consumption is composed of a photovoltaic generation and a battery. The energy management strategy is composed ...
    • Dielectric Flow and Tab-Based Battery Thermal Management System For EV High Performance Application 

      Oca, Laura (Elsevier, 2023)
      From the perspectives of security, durability, and proper operation, effective temperature control via thermal management systems (TMSs) on lithium-ion batteries is crucial for electric vehicle use. In this regard, a novel ...
    • A direct method to quantify lithium plating on graphite negative electrode of commercial Li-ion cells 

      Oca, Laura (Elsevier B.V., 2023)
      The deposition of metallic lithium is a degradation mechanism, also known as lithium plating, that might occur at the negative electrode surface of Li-ion battery cell, especially during fast charging, low temperature ...
    • 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 ...
    • Elucidating the role of particle radius and active material diffusivity in metal-ion batteries 

      Oca, Laura; Arcelus, O.; Fernandez Gonzalez, Sergio; Lopetegi Tapia, Iker; Gucciardi, E.; Herran, A. (2025)
      The impact of particle size distribution and shape in metal-ion batteries has been widely reported1. For the same active material properties (active material diffusivity, open circuit potential etc.) the use of smaller ...
    • Geruzatzerik gabeko berun-azido bateriak 

      Oca, Laura; Bou-Ali, M. Mounir; Campillo-Robles, Jose Miguel (UEU, 2015)
    • 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 ...
    • 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 ...
    • ModEst: battery degradation mode estimation tool 

      Lopetegi, Iker; Oca, Laura; Fernandez Gonzalez, Sergio (2024)
      The software itself is a tool capable of estimating Li-ion battery degradation modes. Battery degradation modes group different battery degradation mechanism into three main degradation modes: Loss of Active Material (LAM) ...
    • 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 ...
    • Optimising Power Semiconductor Thermal Simulation via Finite Element Modeling 

      Agirrezabala, Eneko; Oca, Laura; Aizpuru, Iosu; Garrido, David; Baraia-Etxaburu Zubiaurre, Igor (IEEE, 2025)
      This article presents a Finite Element Modeling (FEM) framework for thermal analysis of power semiconductor modules, combining simulation accuracy with enhanced computational efficiency. Power losses are calculated using ...
    • Parameter Estimation of Physics-Based Models for Lithium-Ion Battery Accounting for Electrochemical and Thermal Effects 

      Rojas Garcia, Clara (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2024)
      Energy storage systems (EES) play a key role in facing the actual energy transition. To supply the current energy demands with renewable sources and ensure the autonomy of the mobility sector, EES integration will be ...
    • PEM motako erregai-pilen zenbakizko analisia eta balioztatze esperimentala 

      Arotzena Lopez, Aitor; Oca, Laura; Goikoetxea, Ander; Berasategi Arostegi, Joanes (Udako Euskal Unibertsitatea (UEU), 2023)
      Gaur egungo aldaketa klimatikoa dela medio, energia elektrikoa lortzeko alternatiba berri ugari sortzen ari dira. Horien artean erregai-pilek abantaila suposatzen dute hainbat esparrutan. Ikerketa honetan gaur egun garapen ...
    • 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 ...

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