Connected and Shared X-in-the-loop Environment for EV Development
XILforEV aims to develop a complex experimental environment for designing electric vehicles and their systems, which connects test platforms and setups from different domains and in different geographical locations. XILforEV will include novel techniques for connecting experimental labs and dedicated case studies for designing EV motion control and EV fail-safe control. It will develop hardware and software components for XIL, use machine learning to improve real-time model accuracy and performances, develop high-confidence models, etc.
PANDA has interactions with XILforEV
Framework: Horizon 2020, GV-02-2018, GA # 824333
Coordinator: TU Ilmenau, Germany