Literature Database Entry

plum2018influences

Thorsten Plum, Marius Wegener, Markus Eisenbarth, Jakob Andert and Georg Birmes, "Influences of Predictive Driving Algorithms on the Energy Demand of Modern Powertrains," Proceedings of 31st International Electric Vehicle Symposium & Exhibition & International Electric Vehicle Technology Conference (EVS 31), Kobe, Japan, October 2018.

Abstract

The paper illustrates the energy saving potential by automated driving vehicles in an urban test scenario. Since a successive electrification of modern powertrains is expected within the next years, the energy saving potential is investigated for a conventional vehicle, a plug-in hybrid electric vehicle (PHEV), and a battery electric vehicle (BEV). Thereto, the use case is adapted to the introduced simulation environment and the driving functionalities are applied to the three powertrains. The greatest percentage benefit is identified for the PHEV followed by the BEV. The conventional powertrain shows the smallest benefit.

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Thorsten Plum
Marius Wegener
Markus Eisenbarth
Jakob Andert
Georg Birmes

BibTeX reference

@inproceedings{plum2018influences,
    author = {Plum, Thorsten and Wegener, Marius and Eisenbarth, Markus and Andert, Jakob and Birmes, Georg},
    title = {{Influences of Predictive Driving Algorithms on the Energy Demand of Modern Powertrains}},
    address = {Kobe, Japan},
    booktitle = {31st International Electric Vehicle Symposium \& Exhibition \& International Electric Vehicle Technology Conference (EVS 31)},
    month = {10},
    year = {2018},
   }
   
   

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