Flottendatenbasierte physikalische Routenenergiebedarfsprognose
To work towards climate goals with energetic planning functions in electric vehicles, a precise energy demand forecast along planned routes is essential, which separately quantifies relevant influences. For that this work shows a new driving profile prediction, which models energy flows while drivin...
Kaydedildi:
| Yazar: | |
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| Materyal Türü: | Online |
| Dil: | Almanca |
| Baskı/Yayın Bilgisi: |
KIT Scientific Publishing
2024
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| Konular: | |
| Online Erişim: | https://library.oapen.org/handle/20.500.12657/92645 |
| Etiketler: |
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| Özet: | To work towards climate goals with energetic planning functions in electric vehicles, a precise energy demand forecast along planned routes is essential, which separately quantifies relevant influences. For that this work shows a new driving profile prediction, which models energy flows while driving and recuperating on any link of a route with just 5 parameters. This work shows example applications of the model range forecasting and temporal route optimization. |
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