Zerrendatu Kongresuak-Ingeniaritza honen arabera: egilea "c9ddd451c7b28b8d68004036eb18c745"
-
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 ... -
Dynamic Wireless Power Transfer DWPT Time Domain model: xyz position and speed coupling effect
Aizpuru, Iosu; Agirrezabala, Eneko; Mazuela, Mikel; IRAOLA, UNAI (IEEE, 2022)The paper presents a DWPT system time domain model which considers speed and position (x, y, z) coupling effects. The speed effect compared to static WPT, presents an active behavior that should be considered during the ... -
Impact of silicon carbide devices in 2 MW DFIG based wind energy system
Arrizabalaga, Antxon; Idarreta Garate, Aitor; Mazuela, Mikel; Aizpuru, Iosu; IRAOLA, UNAI (IEEE, 2020)Renewable energies are going through a major increment, mainly wind and photovoltaic energies, being market competitiveness the main driver for their massive penetration. As power converters are used to interface renewable ... -
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 ... -
Methodology for thermal modelling of lithium-ion batteries
IRAOLA, UNAI; Aizpuru, Iosu; Canales, Jose Maria; Etxeberria Larrazabal, Ander; Gil, Imanol (IEEE, 2013)Temperature is a determinant parameter in terms of performance, lifespan and safety working with li-ion batteries. Working above 45°C, in hot climates, has direct influence in the cycle life of the battery and can cause a ... -
Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models
Dorronsoro, Xabier; GARAYALDE, ERIK; IRAOLA, UNAI (IEEE, 2023)This paper presents an energy management algorithm for an Electric Vehicle (EV) charging station equipped with solar energy generation and local battery-based storage. For this purpose, a practical electric, thermal, and ... -
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 Battery Systems’ Accessible Energy Analysis
Dorronsoro, Xabier; GARAYALDE, ERIK; IRAOLA, UNAI; Aizpurua, Manex (2022)One of the main concerns regarding traditional battery energy storage systems (BESS) is how to solve issues related to cell inhomogeneities. This problem commonly ends up reducing the accessible energy level, especially ... -
Module-Level Modelling Approach for a Cloudbased Digital Twin Platform for Li-Ion Batteries
Miguel, Eduardo; IRAOLA, UNAI (IEEE, 2022)The pursue of the new increasingly intelligent, and heavier state estimation algorithms requires a significant amount of data and computing power, which may challenge their deployment in current BMS solutions. To address ... -
System Level Optimization of 5 MW Wind Converter using 3L-NPC Topology in Medium Voltage with 1 . 7 kV IGBT
Arrizabalaga, Antxon; Mazuela, Mikel; Idarreta Garate, Aitor; IRAOLA, UNAI; Aizpuru, Iosu (IEEE, 2020)Market competitiveness is the main driver in the massive adoption of wind energy, and the optimization of the power converter is crucial for this purpose. Because it has higher efficiency than the two level Voltage Source ...