Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
(Sprache: Englisch)
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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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.
Bibliographische Angaben
- Autor: Stefan Scheubner
- 2022, 192 Seiten, mit Abbildungen, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: KIT Scientific Publishing
- ISBN-10: 3731511665
- ISBN-13: 9783731511663
Sprache:
Englisch
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