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
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
2022
1 Online-Ressource (192 p.)
Book
Electronic Resource
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Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Catalogue medicine | 2022
|Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
TIBKAT | 2022
|Stochastic range estimation algorithms for electric vehicles using data-driven learning models
TIBKAT | 2022
|Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
TIBKAT | 2021
|