Bilatu
5-tik 1-5 emaitza erakusten
Aplikazio industrialetarako energiaren biltegiratze-sistema hibridoen analisia
(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 ...
Li-ioi baterien degradazio-ereduen garapena, transferentzia bidezko ikaskuntza-metodoen bidez
(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, ...
Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods
(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) ...
Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data
(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 ...
Creating a Robust SoC Estimation Algorithm Based on LSTM Units and Trained with Synthetic Data
(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 ...