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Zerrendatu Ikerketa-Kongresuak honen arabera: egilea "15742d8d537a25d07f5b1eb020eb65a7"

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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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...

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