Listar por autor "edfb182cb89fc29feb01774a2f2ddfb0"
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Bridging the Gap between ECMs and PBMs: Electrode-level Extended ECM
Fernandez Gonzalez, Sergio; Lopetegi Tapia, Iker; IRAOLA, UNAI (2025)Accurate and efficient Li-ion battery models are essential for control, diagnostics, and system-level integration. While physics-based models (PBMs) offer detailed electrochemical insight, they are often too complex for ... -
Electrode State of Charge and State of Health Estimation with Electrode-Level Equivalent-Circuit Models
Lopetegi Tapia, 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 ... -
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 ... -
Intuitive Degradation Mode Estimation Tool: ModEst
Fernandez Gonzalez, Sergio; Lopetegi Tapia, Iker; Oca, Laura; Yeregui, Josu; GARAYALDE, ERIK; IRAOLA, 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 ... -
ModEst: battery degradation mode estimation tool
Lopetegi Tapia, 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) ...





