Browsing by Author "Rojas Dueñas, Gabriel"
Now showing items 1-10 of 10
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A deep learning-based modeling of a 270 V -to- 28 V DC-DC converter used in more electric aircrafts
(Institute of Electrical and Electronics Engineers (IEEE), 2021-07-21)
Article
Open AccessThis paper presents a novel approach for black-box modelling of 270 V -to- 28 V DC-DC step-down converters used in more electric aircrafts (MEA). These converters normally feed constant power loads (CPL). The proposed deep ... -
Black-box modeling of DC-DC converters based on wavelet convolutional neural networks
(2021-07-19)
Article
Open AccessThis paper presents an offline deep learning approach focused to model and identify a 270 V-to-28 V DC-DC step-down converter used in on-board distribution systems of more electric aircrafts (MEA). Manufacturers usually ... -
Black-box modelling of a DC-DC buck converter based on a recurrent neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference lecture
Open AccessNeural network; Power converter; Training; Prediction; System identification; Black-box model -
CNN-LSTM-based prognostics of bidirectional converters for electric vehicles’ machine
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-10-26)
Article
Open AccessThis paper proposes an approach to estimate the state of health of DC-DC converters that feed the electrical system of an electric vehicle. They have an important role in providing a smooth and rectified DC voltage to ... -
Modeling and identification of power electronic converters
(Universitat Politècnica de Catalunya, 2022-01-11)
Doctoral thesis
Open AccessNowadays, many industries are moving towards more electrical systems and components. This is done with the purpose of enhancing the efficiency of their systems while being environmentally friendlier and sustainable. ... -
Modeling of a DC-DC bidirectional converter used in mild hybrid electric vehicles from measurements
(2021-10-13)
Article
Open AccessThis paper presents a non-intrusive approach for modeling a bidirectional DC-DC converter used in mild hybrid electric vehicles. A black-box identification methodology is proposed to find a model based on the data acquired ... -
Non-Intrusive parameter identification of a three-phase rectifier based on an optimization approach
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Restricted access - publisher's policySix-pulse diode rectifiers are widely used in many power conversion systems. In this work a non-intrusive approach for parameter identification of such power device is presented and its accuracy and performance is evaluated ... -
Non-linear least squares optimization for parametric identification of DC-DC converters
(Institute of Electrical and Electronics Engineers (IEEE), 2020-06-19)
Article
Open AccessSwitching mode power converters are being extensively applied in different power conversion systems. Parameter identification comprises a set of techniques focused on extracting the relevant parameters of the converters ... -
Optimal power flow analysis of an hybrid AC/DC system that connects large wind farms to the grid
(Universitat Politècnica de Catalunya, 2018-06-21)
Master thesis
Open AccessThe main purpose of this project is to develop a tool able to solve an optimal power flow (OPF) for a grid that connects wind power plants to consumption centers. The grid combines alternating current and direct current ... -
Parameter estimation of a single-phase boost PFC converter with EMI filter based on an optimization algorithm
(2021-05-21)
Article
Open AccessThis paper proposes an approach to estimate the parameters of an AC–DC boost power factor corrector converter that includes an EMI filter. To this end, once the topology was known, the values of the passive elements were ...
