Zerrendatu honen arabera: egilea "bb71e31d7c19233759e6f53f245ad6e7"

6-tik 1-6 emaitza erakusten

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 ...

Zerrendatu honen arabera: egilea "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