The key objectives are:

(1) Integration of the energy management, thermal management, driveability control and vehicle dynamics control into a single supervisory controller, using control allocation and model predictive control techniques between the multiple motors. Also the failsafe control functions will be unified in the supervisory controller.
(2) Demonstration of the compatibility of the integrated control software with the actual computational power of novel multi-core automotive control units. This will include specific analyses concerning the increased performance and safety as well as reduced costs of the developed electronic components.
(3) Integration of the unified controller with cloud-sourced information for the enhanced estimation and prediction of the vehicle states within a cooperative vehicle-road infrastructure, including semi-autonomous driving. This will allow energy management based on predictive control techniques.

The energy efficiency, safety and comfort benefits of these control techniques and cooperative vehicle-infrastructure interfaces will be assessed on existing, highly versatile FEV demonstrators that range from one to four electric drivetrains, and are equipped with dual mode energy storage systems comprising supercapacitors and battery packs.