Flottendatenbasierte physikalische Routenenergiebedarfsprognose
To work towards climate goals with energetic planning functions in electric vehicles, a precise energy demand forecast along planned routes is essential, which separately quantifies relevant influences. For that this work shows a new driving profile prediction, which models energy flows while drivin...
Պահպանված է:
| Հիմնական հեղինակ: | |
|---|---|
| Ձևաչափ: | Online |
| Լեզու: | գերմաներեն |
| Հրապարակվել է: |
KIT Scientific Publishing
2024
|
| Խորագրեր: | |
| Առցանց հասանելիություն: | https://library.oapen.org/handle/20.500.12657/92645 |
| Ցուցիչներ: |
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
|
| _version_ | 1869519977876291584 |
|---|---|
| author | Straub, Tobias Sebastian |
| author_browse | Straub, Tobias Sebastian |
| author_facet | Straub, Tobias Sebastian |
| author_sort | Straub, Tobias Sebastian |
| collection | Directory of Open Access Books |
| description | To work towards climate goals with energetic planning functions in electric vehicles, a precise energy demand forecast along planned routes is essential, which separately quantifies relevant influences. For that this work shows a new driving profile prediction, which models energy flows while driving and recuperating on any link of a route with just 5 parameters. This work shows example applications of the model range forecasting and temporal route optimization. |
| format | Online |
| id | doab-20.500.12854ir-142817 |
| institution | Directory of Open Access Books |
| language | ger |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1428172025-05-27T05:30:38Z Flottendatenbasierte physikalische Routenenergiebedarfsprognose Straub, Tobias Sebastian range; forecast; electric vehicle; energy demand; Reichweite; Vorhersage; Elektrofahrzeug; Energiebedarf thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials To work towards climate goals with energetic planning functions in electric vehicles, a precise energy demand forecast along planned routes is essential, which separately quantifies relevant influences. For that this work shows a new driving profile prediction, which models energy flows while driving and recuperating on any link of a route with just 5 parameters. This work shows example applications of the model range forecasting and temporal route optimization. 2024-08-13T04:02:09Z 2024-08-13T04:02:09Z 2024-08-12T11:57:12Z 2024 book https://library.oapen.org/handle/20.500.12657/92645 9783731513483 https://directory.doabooks.org/handle/20.500.12854/142817 ger Karlsruher Schriftenreihe Fahrzeugsystemtechnik open access image/jpeg image/jpeg image/jpeg image/jpeg Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/92645/1/flottendatenbasierte-physikalische-routenenergiebedarfsprognose.pdf https://library.oapen.org/bitstream/20.500.12657/92645/1/flottendatenbasierte-physikalische-routenenergiebedarfsprognose.pdf https://library.oapen.org/bitstream/20.500.12657/92645/1/flottendatenbasierte-physikalische-routenenergiebedarfsprognose.pdf https://library.oapen.org/bitstream/20.500.12657/92645/1/flottendatenbasierte-physikalische-routenenergiebedarfsprognose.pdf KIT Scientific Publishing 10.5445/KSP/1000168810 10.5445/KSP/1000168810 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731513483 AG Universitätsverlage 210 open access |
| spellingShingle | range; forecast; electric vehicle; energy demand; Reichweite; Vorhersage; Elektrofahrzeug; Energiebedarf thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials Straub, Tobias Sebastian Flottendatenbasierte physikalische Routenenergiebedarfsprognose |
| title | Flottendatenbasierte physikalische Routenenergiebedarfsprognose |
| title_full | Flottendatenbasierte physikalische Routenenergiebedarfsprognose |
| title_fullStr | Flottendatenbasierte physikalische Routenenergiebedarfsprognose |
| title_full_unstemmed | Flottendatenbasierte physikalische Routenenergiebedarfsprognose |
| title_short | Flottendatenbasierte physikalische Routenenergiebedarfsprognose |
| title_sort | flottendatenbasierte physikalische routenenergiebedarfsprognose |
| topic | range; forecast; electric vehicle; energy demand; Reichweite; Vorhersage; Elektrofahrzeug; Energiebedarf thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials |
| topic_facet | range; forecast; electric vehicle; energy demand; Reichweite; Vorhersage; Elektrofahrzeug; Energiebedarf thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials |
| url | https://library.oapen.org/handle/20.500.12657/92645 |
| work_keys_str_mv | AT straubtobiassebastian flottendatenbasiertephysikalischeroutenenergiebedarfsprognose |