Listar por autor "bb71e31d7c19233759e6f53f245ad6e7"

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Aplikazio industrialetarako energiaren biltegiratze-sistema hibridoen analisia

Azkue, Markel (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2018)

Gaur egun, elektromugikortasunaren eta energia berriztagarrien hazkundea dela eta, energia- eta potentzia-eskakizun handiko aplikazio berriak agertu dira. Orain arteko biltegiratze-sistema gehienek zailtasunak dituzte aldi ...
Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods

Azkue, Markel ; Aizpuru, Iosu (MDPI, 2021)

Getting accurate lifetime predictions for a particular cell chemistry remains a challenging process, largely dependent on time and cost-intensive experimental battery testing. This paper proposes a transfer learning (TL) ...
Creating a Robust SoC Estimation Algorithm Based on LSTM Units and Trained with Synthetic Data

Azkue, Markel; Miguel, Eduardo; Oca, Laura; IRAOLA, UNAI (MDPI, 2023)

Creating SoC algorithms for Li-ion batteries based on neural networks requires a large amount of training data, since it is necessary to test the batteries under different conditions so that the algorithm learns the ...
Development and validation of li-ion battery state algorithms capable of adapting to new chemistries

Azkue, Markel (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)

Recognized as the bedrock of modern energy storage, lithium-ion batteries (Li-ion) have ascended to become an integral component in a large number of applications, which span from ubiquitous devices like smartphones and ...
Li-ioi baterien degradazio-ereduen garapena, transferentzia bidezko ikaskuntza-metodoen bidez

Azkue, Markel (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2020)

Li-ioi bateriak garestiak dira eta degradatu egiten dira; hori dela eta, degradazio-eredu bat sortu beharra dago, bateriek xede-aplikazioan zer portaera izango duten eta zenbat iraungo duten simulatzeko. Ereduok sortzeko, ...
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 ...

Listar por autor "bb71e31d7c19233759e6f53f245ad6e7"

Aplikazio industrialetarako energiaren biltegiratze-sistema hibridoen analisia ﻿

Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods ﻿

Creating a Robust SoC Estimation Algorithm Based on LSTM Units and Trained with Synthetic Data ﻿

Development and validation of li-ion battery state algorithms capable of adapting to new chemistries ﻿

Li-ioi baterien degradazio-ereduen garapena, transferentzia bidezko ikaskuntza-metodoen bidez ﻿

Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data ﻿

Aplikazio industrialetarako energiaren biltegiratze-sistema hibridoen analisia

Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods

Creating a Robust SoC Estimation Algorithm Based on LSTM Units and Trained with Synthetic Data

Development and validation of li-ion battery state algorithms capable of adapting to new chemistries

Li-ioi baterien degradazio-ereduen garapena, transferentzia bidezko ikaskuntza-metodoen bidez

Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data