CHARGER+ - Nueva Generación de Puntos de Recarga de Vehículo Eléctrico con Funcionalidades Autónomas y Colaborativas e Impacto Cero
Mondragon Goi Eskola Politeknikoa - MGEP
UPV/EHU - Communication Engineering Department
UPV/EHU - Electric Engineering Department
The general objective of the CHARGER+ project is to generate the necessary knowledge to define a new generation of electric vehicle (EV) charging points, so that the related Basque companies (electricity companies, charging post installation companies and charger manufacturers) will be in an advantageous position when, during the mass deployment of charging points, new functionalities adapted to the decentralised and minimum impact concept of Smart Grids are assessed. Upon completion, the project will have generated autonomous and collaborative decision algorithms, electric vehicle battery and distribution grid models, modelling of emissions generated by power electronics, a communications demonstrator and a methodology for integrating environmental criteria in low LRT developments. This project will improve the scientific-technological and commercial positioning of the Basque Science and Technology Network and Basque companies in the electro-mobility ecosystem and in particular in the area of charging points.
MATH4SPORTS - Modelización matemática para la industria deportiva: salud y rendimiento
MATH4SPORTS seeks to transfer applied mathematics as a driving technology to the field of the sports industry, with a high potential for technology transfer to start-ups, professional clubs, researchers and other agents in the innovative environment of Bizkaia.
M-KONTAK - Investigación de los Fenómenos Asociados al Contacto Metal-Metal en Tecnologías de H2 a Alta Presión
The main objective of the M-KONTAK project is to gain an in-depth understanding of the failure modes and their effect on metallic materials and the surfaces of threaded joints in candidate technologies for high-pressure H2 effect on the metallic materials and surfaces that make up the threaded jo
KAIROS - Digitalización predictiva del comportamiento a largo plazo de materiales poliméricos composites. Empleo de IA, modelización basada en la física y metodologías de aceleración de ensayos
KAIROS was created with the main objective of researching and obtaining a solution that allows multi-scale digitisation combined with ML and accelerated testing methodologies, for the study of the long-term behaviour (creep, fatigue, ageing) of polymeric materials applicable, for example, to the
EGIA - EdGe technologies for Industrial distributed AI applications
EGIA aims to research and develop the technologies necessary to make it practically feasible to run industrial AI applications on the Edge, i.e. on (or near) the cyber-physical devices that generate the data.