Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
| dc.contributor.author | Scheubner, Stefan | |
| dc.date.accessioned | 2022-06-20T19:09:54Z | |
| dc.date.available | 2022-06-20T19:09:54Z | |
| dc.date.issued | 2022 | |
| dc.identifier | ONIX_20220620_9783731511663_74 | |
| dc.identifier.issn | 1869-6058 | |
| dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/56964 | |
| dc.description.abstract | 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. | |
| dc.language | English | |
| dc.relation.ispartofseries | Karlsruher Schriftenreihe Fahrzeugsystemtechnik | |
| dc.subject.other | Elektromobilität | |
| dc.subject.other | Vorhersagen | |
| dc.subject.other | Algorithmen | |
| dc.subject.other | Fahrzeugtechnik | |
| dc.subject.other | Energiemanagement | |
| dc.subject.other | E-Mobility | |
| dc.subject.other | Forecasting | |
| dc.subject.other | Algorithms | |
| dc.subject.other | Vehicle Technology | |
| dc.subject.other | Energy Management | |
| dc.title | Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models | |
| dc.type | book | |
| oapen.identifier.doi | 10.5445/KSP/1000143200 | |
| oapen.relation.isPublishedBy | 44e29711-8d53-496b-85cc-3d10c9469be9 | |
| oapen.relation.isbn | 9783731511663 | |
| oapen.imprint | KIT Scientific Publishing | |
| oapen.series.number | 6 | |
| oapen.pages | 192 | |
| oapen.place.publication | Karlsruhe |
