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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| Superior document: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik |
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| Year of Publication: | 2022 |
| Language: | English |
| Series: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik
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| Physical Description: | 1 electronic resource (192 p.) |
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