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Zerrendatu honen arabera: egilea "Plett, Gregory L."

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    • 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 ...
    • Electrode State of Charge and State of Health Estimation with Electrode-Level Equivalent-Circuit Models 

      Lopetegi, Iker; Fernandez Gonzalez, Sergio; Plett, Gregory L.; Trimboli, M. Scott; IRAOLA, UNAI (IOP Publishing, 2025)
      To prolong battery lifetime and maximize performance, battery management systems (BMSs) need to estimate internal variables that are related to battery aging. For that, accurate battery models that can represent internal ...
    • 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 ...
    • 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 ...
    • Review of computational parameter estimation methods for electrochemical models 

      Miguel, Eduardo; Oca, Laura; IRAOLA, UNAI (Elsevier Ltd, 2021)
      Electrochemical models are an incipient technique for estimation of battery cells internal variables, useful for cells design or state of function optimization. One of the non-trivial procedures that allow the use of this ...

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