SEAT has contacted inLab FIB and LaCàN to raise the possibility of developing a joint project to scale the use of ARCO and the ePGD library, currently validated for simple models, to solve NVH parametric problems with a realistic car geometry.
SEAT
Projects as a Client
Design of new strategies, based on machine learning algorithms and data analysis, to improve the efficiency and performance of electric vehicle motors and batteries.
It allows SEAT vehicles to communicate with Android and iOS mobile devices, offering access to a catalog of safety and prevention functions.
Projects as a Colaborator
Support a pilot street test on On-Demand Transportation being carried out by a group of CARNET partners.