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.

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Príomhchruthaitheoir:	Scheubner, Stefan (auth)
Formáid:	Leictreonach Caibidil leabhair
Teanga:	Béarla
Foilsithe / Cruthaithe:	Karlsruhe KIT Scientific Publishing 2022
Sraith:	Karlsruher Schriftenreihe Fahrzeugsystemtechnik 6
Ábhair:	Mechanical engineering & materials Elektromobilität Vorhersagen Algorithmen Fahrzeugtechnik Energiemanagement E-Mobility Forecasting Algorithms Vehicle Technology Energy Management
Rochtain ar líne:	OAPEN Library: download the publication OAPEN Library: description of the publication
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Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models de réir Scheubner, Stefan

Foilsithe / Cruthaithe 2022

DOAB: download the publication
DOAB: description of the publication

Leictreonach Caibidil leabhair

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

Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models de réir Scheubner, Stefan

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