WEBINAR
EVs lightweighting assessment based on AI machine learning and numerical modelling using new materials
April 18th | 10.00h - 12.30h CEST, Online
Fatigue4Light and REVOLUTION organised the webinar “EVs lightweighting assessment based on AI machine learning and numerical modelling using new materials” with the objective to showcase and discuss about the latest innovative solutions to promote a more sustainable mobility sector and reduce the Electric Vehicles’ weight.
The event focused on different topics from experimental to computer analysis, AI Machine Learning and numerical modelling, among others.
The webinar included presentations from experts, professionals and researchers of this field, as well as a round table to discuss about future trends and challenges.
Agenda
10.00 – Welcome & Introduction
SESSION I: Projects presentation
10.05 – The Fatigue4Light project
Sergio Jiménez, CIMNE
10.20 – The REVOLUTION project
Emre Elmas, Farplas
SESSION II: Technical presentation
10.35 – From experimental to computer analysis
Sergio Jiménez, CIMNE
Alejandro Cornejo, Polytechnic University of Catalonia
David Pérez Peralta, IDENER
Lucía Gálvez del Postigo Gallego, IDENER
10.45 – Approach I – AI Machine Learning
David Pérez Peralta, IDENER
Lucía Gálvez del Postigo Gallego, IDENER
11.00 – Approach II – Numerical Modelling
Sergio Jiménez, CIMNE
11.15 – Results & Impact
David Pérez Peralta, IDENER
Lucía Gálvez del Postigo Gallego, IDENER
Sergio Jiménez, CIMNE
Alejandro Cornejo, Polytechnic University of Catalonia
SESSION III: Round table
11.30 – Future trends and Panel discussion
Participants:
Carlos de la Cruz Pérez, IDENER
Fernando Salazar, CIMNE
Álvaro Cabeza Sánchez, IDENER
Gerard Mor, CIMNE
12.30 – Final conclusions and end of the session
Speakers
Sergio Jiménez
Fatigue4Light project’s coordinator, CIMNE
Sergio Jiménez is a Civil Engineer and coordinator of the Fatigue4Light European H2020 project. He is developing his career as researcher at CIMNE and working as Associate Lecturer in Structural Analysis and Mechanics at UPC in Barcelona. He has combined his PhD studies in Structural Analysis developing numerical models for the study of the fatigue phenomenon with his incipient career as researcher collaborating in national and international R+D projects in the analysis of mechanical nonlinearities of metals and composite materials.
Emre Elmas
REVOLUTION project’s coordinator, Farplas
Emre Elmas is the Fundraising and Project Responsible of both Farplas and Fark Labs and the Coordinator of REVOLUTION Project funded by EC Horizon 2020 FP. In Farplas and Fark Labs, he has been responsible for developing, managing, and coordinating mainly international based R&D projects in the scope of urban mobility, electric vehicles, lightweighting technologies, batteries, digital transformation of manufacturing plants and robotics. He is also the Coordinator of EIT UM RIS Hub Türkiye.
Alejandro Cornejo
Civil Engineer, Polytechnic University of Catalonia (UPC)
Alejandro Cornejo is a Civil Engineer from the Polytechnic University of Catalonia (UPC). He holds a BSc and MSc in Civil Engineering (2015 and 2017 respectively) and a PhD in Structural Analysis (2020) by the UPC. Alejandro’s thesis was awarded as one of the best UPC theses in 2020. Currently, he is a Serra Húnter tenure-eligible lecturer in the Environmental and Civil Engineering Department (DECA) of the UPC and an Assistant Research Professor at CIMNE. He has broad experience in numerical methods development implementation in the field of non-linear solid mechanics, fluid dynamics, particle methods like DEM or PFEM, remeshing techniques and FSI inside the open-source FE code Kratos-Multiphysics.
Lucía Gálvez del Postigo Gallego
R&D Engineer, IDENER
Graduated in Robotics, Electronic and Mechatronic Engineering with a specialization in automation. Master’s degree in Intelligent Systems, where her thesis work focused on the use of convolutional neural networks for classifying magnetic resonance imaging (MRI) images. Deeply interested in learning and developing new algorithms and technologies in the field of artificial intelligence, as evidenced by the completion of several certified courses. Constantly seeking out new opportunities to expand her knowledge and skills in this rapidly evolving field.
David Pérez Peralta
R&D Engineer, IDENER
Graduated in the University of Seville in Electronic, Robotic and Mechatronics engineering. Currently doing a master’s degree in Politecnico di Milano in automation and control engineering, with the thesis focused on the European REVOLUTION project. Currently working on several other European projects as a technical developer. Widely interested in discovering and knowing how the world works, with special interest in robotics and artificial intelligences.
Fernando Salazar
Director of CIMNE-Madrid and Project Development Director of CIMNE
Fernando Salazar holds a MSc in Civil Engineering (UPM, 2002). Between 2003 and 2009, he worked as project manager in dam and hydraulic projects. He is working for CIMNE since 2009, where he is the current Director of CIMNE-Madrid and the Project Development Director of CIMNE. He obtained his PhD at the UPC in 2017, on the application of machine learning in dam safety assessment. In this field, he won the International Challenge organized by Verbund, the greatest hydropower company in Austria. He has been PI in several research projects involving the combined application of numerical methods and machine learning techniques in different fields of engineering. He is author of 25 papers in scientific journals.
Gerard Mor
PhD in Data Science and Researcher Engineer, CIMNE
Gerard Mor is a PhD in Data Science for the University of Lleida, MSc in Decision Making for the Rey Juan Carlos University, and Building Engineer for the University of Lleida. Currently, he has more than 17 papers in international peer-reviewed journals and congresses, and participated in 8 European projects during last decade, among others. His main research line is related with energy flows modelling in the building’s sector at multiple geographical scales (from buildings to urban). He is used to work with R and Python, and the implementation of data analysis pipelines within a big data architecture. Nowadays, he is the responsible for data analytics of the Building, Energy and Environment group of CIMNE.
Carlos de la Cruz Pérez
PhD in computational chemistry and theoretical modelling, IDENER
During 2018 through 2022, Carlos de la Cruz Perez completed a PhD at IMDEA Energy in computational chemistry and theoretical modelling. He searched for novel lead design models while working as a computational chemist at IMDEA Energy and the CSIC-CIB laboratories during his TFM. He published numerous studies in high-impact publications. They are all connected to the materials community and emphasize novel numerical procedures. He completed a research project at Denmark Technical University and published more studies. His contributions are consistently connected to quantitative structure activity properties and pattern-finding techniques using numbers. He has a master degree in big data, machine learning, and artificial intelligence. He is currently working on several European projects, both as a technical leader and coordinator for the modelling sections.
Álvaro Cabeza Sánchez
PhD in Chemical and Environmental Engineering, IDENER
R&D Engineer with PhD in chemical and Environmental Engineering, Master in Chemical engineering and master in thermodynamics of fluid for the University of Valladolid. Co-author in more than 9 research articles and collaborator in more than 6 European Research projects, developing tasks related to processing modelling and assessment. Strong background in physicochemical process modelling.
