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.
Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Baliabide elektronikoa Liburu kapitulua |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Karlsruhe
KIT Scientific Publishing
2022
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| Saila: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik
6 |
| Gaiak: | |
| Sarrera elektronikoa: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Etiketak: |
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