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Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Stefan Scheubner
2022
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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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Keywords
- Algorithmen
- Algorithms
- E-Mobility
- Elektromobilität
- Energiemanagement
- energy management
- Fahrzeugtechnik
- Forecasting
- Mechanical engineering & materials
- Technology, engineering, agriculture
- vehicle technology
- Vorhersagen
Links
DOI: 10.5445/KSP/1000143200Editions