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.

Sparad:
Bibliografiska uppgifter
Huvudupphov: Scheubner, Stefan
Materialtyp: Online
Språk:engelska
Utgiven: KIT Scientific Publishing 2022
Ämnen:
Länkar:ONIX_20220620_9783731511663_74
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!
_version_ 1869514444614139904
author Scheubner, Stefan
author_browse Scheubner, Stefan
author_facet Scheubner, Stefan
author_sort Scheubner, Stefan
collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-84371
institution Directory of Open Access Books
language eng
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-843712025-04-08T10:31:20Z Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models Scheubner, Stefan Elektromobilität Vorhersagen Algorithmen Fahrzeugtechnik Energiemanagement E-Mobility Forecasting Algorithms Vehicle Technology Energy Management 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. 2022-06-21T04:02:45Z 2022-06-21T04:02:45Z 2022-06-20T19:09:54Z 2022 book ONIX_20220620_9783731511663_74 OCN: 1348375824 1869-6058 https://library.oapen.org/handle/20.500.12657/56964 9783731511663 https://directory.doabooks.org/handle/20.500.12854/84371 eng Karlsruher Schriftenreihe Fahrzeugsystemtechnik open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/56964/1/9783731511663.pdf https://library.oapen.org/bitstream/20.500.12657/56964/1/9783731511663.pdf https://library.oapen.org/bitstream/20.500.12657/56964/1/9783731511663.pdf https://library.oapen.org/bitstream/20.500.12657/56964/1/9783731511663.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000143200 10.5445/KSP/1000143200 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731511663 AG Universitätsverlage KIT Scientific Publishing 192 Karlsruhe open access
spellingShingle Elektromobilität
Vorhersagen
Algorithmen
Fahrzeugtechnik
Energiemanagement
E-Mobility
Forecasting
Algorithms
Vehicle Technology
Energy Management
Scheubner, Stefan
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
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_short 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
topic Elektromobilität
Vorhersagen
Algorithmen
Fahrzeugtechnik
Energiemanagement
E-Mobility
Forecasting
Algorithms
Vehicle Technology
Energy Management
topic_facet Elektromobilität
Vorhersagen
Algorithmen
Fahrzeugtechnik
Energiemanagement
E-Mobility
Forecasting
Algorithms
Vehicle Technology
Energy Management
url ONIX_20220620_9783731511663_74
work_keys_str_mv AT scheubnerstefan stochasticrangeestimationalgorithmsforelectricvehiclesusingdatadrivenlearningmodels