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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| Главный автор: | |
|---|---|
| Формат: | Электронный ресурс Глава книги |
| Язык: | английский |
| Опубликовано: |
Karlsruhe
KIT Scientific Publishing
2022
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| Серии: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik
6 |
| Предметы: | |
| Online-ссылка: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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Internet
OAPEN Library: download the publicationOAPEN Library: description of the publication
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| Шифр: |
A1234.567 |
|---|---|
| Копировать 1 | Доступно |