Browsing by Author "a0b98a2281797c1444138ac7d4e24787"
Now showing items 1-10 of 10
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Bridging the Gap between ECMs and PBMs: Electrode-level Extended ECM
Fernandez Gonzalez, Sergio; Lopetegi, 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 ... -
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 ... -
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 ... -
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 ... -
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) ... -
Modular Battery Energy Storage Systems for Available Energy Increase
Dorronsoro, Xabier; Lopetegi, Iker; GARAYALDE, ERIK; IRAOLA, UNAI; Yeregui, Josu (IEEE, 2022)The aim of this work is to dive into the available energy of different configurations of battery packs, a vital factor when it comes to improving the driving range of electric vehicles. To that end, two different storage ... -
Modular BESS architecture for enhanced performance and extended lifetime
Aizpurua, Manex; GARAYALDE, ERIK; Lopetegi, Iker; Yeregui, Josu; Dorronsoro, Xabier; IRAOLA, UNAI (IEEE, 2024)This paper evaluates and compares the performances of non-modular and modular battery systems. The modular architecture consists of several battery modules that are individually controlled by means of their corresponding ... -
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 ... -
State of charge estimation combining physics-based and artificial intelligence models for Lithium-ion batteries
Yeregui, Josu; Oca, Laura; Lopetegi, Iker; GARAYALDE, ERIK; Aizpurua, Manex; IRAOLA, UNAI (Elsevier, 2023)This paper presents a sequential model based on Physic Based Models (PBM) and Artificial Intelligence Models (AI) focused on the estimation of the State of Charge (SoC). The PBM can provide interesting information about ...
