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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Superior document:Karlsruher Schriftenreihe Fahrzeugsystemtechnik
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Year of Publication:2022
Language:English
Series:Karlsruher Schriftenreihe Fahrzeugsystemtechnik
Physical Description:1 electronic resource (192 p.)
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record_format marc
spelling Scheubner, Stefan auth
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Karlsruhe KIT Scientific Publishing 2022
1 electronic resource (192 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Karlsruher Schriftenreihe Fahrzeugsystemtechnik
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.
English
Mechanical engineering & materials bicssc
Elektromobilität
Vorhersagen
Algorithmen
Fahrzeugtechnik
Energiemanagement
E-Mobility
Forecasting
Algorithms
Vehicle Technology
Energy Management
3-7315-1166-5
language English
format eBook
author Scheubner, Stefan
spellingShingle Scheubner, Stefan
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Karlsruher Schriftenreihe Fahrzeugsystemtechnik
author_facet Scheubner, Stefan
author_variant s s ss
author_sort Scheubner, Stefan
title Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
title_full Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
title_fullStr Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
title_full_unstemmed Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
title_auth Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
title_new Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
title_sort stochastic range estimation algorithms for electric vehicles using data-driven learning models
series Karlsruher Schriftenreihe Fahrzeugsystemtechnik
series2 Karlsruher Schriftenreihe Fahrzeugsystemtechnik
publisher KIT Scientific Publishing
publishDate 2022
physical 1 electronic resource (192 p.)
isbn 1000143200
3-7315-1166-5
illustrated Not Illustrated
work_keys_str_mv AT scheubnerstefan stochasticrangeestimationalgorithmsforelectricvehiclesusingdatadrivenlearningmodels
status_str n
ids_txt_mv (CKB)5860000000051233
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hierarchy_parent_title Karlsruher Schriftenreihe Fahrzeugsystemtechnik
is_hierarchy_title Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
container_title Karlsruher Schriftenreihe Fahrzeugsystemtechnik
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