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.
Design of a Self-Optimized Electronic Management for Autonomous Electric Vehicles with Fuel Cells as Range Extenders using the Intelligent Guidance Platform doplar
2020-09-10
1174031 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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