State-based power optimization using mixed-criticality filter for automotive networks
Wei Hong, Otto Hucke, Andreas Burger, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel · 2015
In this paper we propose an approach on energy management for optimizing the energy consumption of both electrical and conventional vehicle's board electronic. The pursued idea exploits degrees of freedom resulting from vehicle functions which are not permanently used during operation. The elaborated framework achieves this by a state-based power optimization approach using partial networking. It selectively shuts down Electronic Control Units (ECUs) based on requirement and criticality. Experimental results show up to 29.6% saving of the ECUs energy consumption on several driving cycles, which were created from real measured data provided by an automotive OEM.