
Model predictive power distribution in an electric vehicle with a fuel cell
Author(s) -
Soeren Scherler,
Xiaobo Liu-Henke
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/707/1/012011
Subject(s) - christian ministry , electric vehicle , range (aeronautics) , automotive engineering , fuel cells , work (physics) , extender , engineering , electric power , power (physics) , computer science , aerospace engineering , mechanical engineering , political science , physics , materials science , composite material , quantum mechanics , chemical engineering , law , polyurethane
Within the subproject “Intelligent Electric Vehicles with Range Extender in Traffic Systems with Vehicle 4.0” (iREX 4.0), which is part of the joint project “Future Vehicle Technologies in the Open Region Lab” (“Zukünftige Fahrzeugtechnologien im Open Region Lab“, ZuFOR), funded by the Ministry of Science and Culture of Lower Saxony and the Volkswagen Foundation, the research work focuses on cross-linked autonomous electric vehicles with fuel cells serving as range extenders. The aim of the project is the conception of digitized traffic systems that consist of cross-linked autonomous electric vehicles with range extender (RE). This contribution presents an approach for a model predictive power distribution to the energy sources battery and fuel cell considering their specific characteristics.