The main goal of EP4H2 project is to provide innovative technologies that allow to increase efficiency and flexibility of hidrogen electrolyzers, while reducing their cost, which will utlimately allow to advance towards the production of Green Hydrogen. The Consortium of the project is composed by Tecnalia R&I, Ingeteam, Mondragon Unibertsitatea and the UPV/EHU.

This coordinated project has as the main goal to define an appropriate testing environment and methodologies, which includes intelligent management of data, and a set of tools, techniques and controls, to aid in the development of highly automated functions in  vehicles. The project consortium is composed by UPV/EHU (VISENS Group and GDED Group), Tecnalia, MU, AIC, DEIT, Ikerlan, CAM, VICOMTECH. In the consortium, VISENS participates in work package 3: Research and develoment of highly automated sensors and...

A HardWare Implementation of the PWM inspired encoding/decoding algorithm (IHA-PWM). A new supervised training approach of SNN for regression based on both backpropagation and PWM inspired encoding/decoding algorithm. Define the specification for a neuromorphic HardWare implementation of both IHA-PWM and the new supervised training algorithm.