01739nam 2200445z- 450 991057686850332120231214133046.01000143200(CKB)5860000000051233(oapen)https://directory.doabooks.org/handle/20.500.12854/84371(EXLCZ)99586000000005123320202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierStochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning ModelsKarlsruheKIT Scientific Publishing20221 electronic resource (192 p.)Karlsruher Schriftenreihe Fahrzeugsystemtechnik3-7315-1166-5 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.Mechanical engineering & materialsbicsscElektromobilitätVorhersagenAlgorithmenFahrzeugtechnikEnergiemanagementE-MobilityForecastingAlgorithmsVehicle TechnologyEnergy ManagementMechanical engineering & materialsScheubner Stefanauth1331144BOOK9910576868503321Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models3040263UNINA