Auxiliaries’ power and energy demand prediction of battery electric vehicles using system identification and deep learning

Abstract The energy demand of the auxiliaries of battery electric vehicles can account for a significant share of the total energy demand of a trip and must be taken into account for the prediction of the vehicle's remaining driving range or the implementation of predictive driving functions. T...

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Bibliographic Details
Main Authors: Lukas Schäfers, Kai Franke, Rene Savelsberg, Stefan Pischinger
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:IET Intelligent Transport Systems
Subjects:
Online Access:https://doi.org/10.1049/itr2.12467