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Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models

Av: Medverkande: Materialtyp: ArtikelSerie: Utgivningsinformation: Karlsruhe KIT Scientific Publishing KIT Scientific Publishing [Imprint] 2022Beskrivning: 1 electronic resource (192 p.)Innehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783731511663
Ämnen: Onlineresurser: Sammanfattning: 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.

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eng

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