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.
Bewaard in:
| Hoofdauteur: | |
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| Formaat: | Elektronisch Hoofdstuk |
| Taal: | Engels |
| Gepubliceerd in: |
Karlsruhe
KIT Scientific Publishing
2022
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| Reeks: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik
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| Onderwerpen: | |
| Online toegang: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
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Internet
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
| Plaatsingsnummer: |
A1234.567 |
|---|---|
| Kopie 1 | Beschikbaar |