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.
Збережено в:
| Автор: | |
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| Формат: | Online |
| Мова: | Англійська |
| Опубліковано: |
KIT Scientific Publishing
2022
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| Предмети: | |
| Онлайн доступ: | ONIX_20220620_9783731511663_74 |
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