Design of a Self-Optimized Electronic Management for Autonomous Electric Vehicles with Fuel Cells as Range Extenders using the Intelligent Guidance Platform doplar

In this paper the design of a self-optimizing, predictive electronic vehicle management (pEVM) for autonomous electric vehicles with fuel cell as range extender is presented. The goal is the time and energy-optimized vehicle operation by the pEVM, which focuses on optimization potentials in route guidance, trajectory planning and energy management. In order to use these optimization potentials, the domain-specific configurable, modular platform for route guidance and trajectory planning of intelligent vehicles (doplar) and the predictive electric energy management system (pEEM) are presented as important components of pEVM.