Listar por autor "Trimboli, M. Scott"
Mostrando ítems 1-4 de 4
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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 ... -
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 ...
