Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models

This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awdur: Scheubner, Stefan (auth)
Fformat: Electronig Pennod Llyfr
Iaith:Saesneg
Cyhoeddwyd: Karlsruhe KIT Scientific Publishing 2022
Cyfres:Karlsruher Schriftenreihe Fahrzeugsystemtechnik
Pynciau:
Mynediad Ar-lein:DOAB: download the publication
DOAB: description of the publication
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