Predictive energy management strategies for hybrid electric vehicles: Ehorizon for battery management system

This paper presents the development of an Electronic Horizon (or eHorizon) strategy able to increase the electric range of a plug-in hybrid supersport vehicle, thanks to the detailed knowledge of the vehicle mission ahead (traffic lights timings, road profile, road congestion, dangerous events, etc.). Speed and load profiles estimation allows optimizing the thermal management strategies on the high voltage energy storage system, with a model-based approach. Due to the increasing diffusion of Advanced Driver Assistance Systems (ADAS) and Connectivity and Communication technologies (V2X) on vehicles, the reconstruction of the electronic horizon can today be considered feasible. eHorizon represents a detailed information of the mission ahead through the knowledge of traffic conditions and road characteristics. This detailed information along the route can be used by eHorizon function in short terms (0-250m, so-called short eHorizon) medium terms (250-1000m, so-called medium horizon), and long terms (over 1000m, so called long eHorizon). Long eHorizon information are normally used to adapt the powertrain strategies to optimize the energy usage.