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pro vyhledávání: '"Georg Balke"'
Autor:
Maximilian Zähringer, Jakob Schneider, Georg Balke, Kareem Abo Gamra, Niclas Klein, Markus Lienkamp
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100731- (2024)
Battery electric trucks are a well-suited solution for decarbonizing freight transport to achieve the emission reduction targets set by the European Union. Intelligent charging management is crucial to minimize time loss and to synchronize charging t
Externí odkaz:
https://doaj.org/article/b1d5e8888d6546caad6e67f1300befe9
Autor:
Georg Balke, Lennart Adenaw
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109246- (2023)
During a period of 7 months, 54 class N3 trucks from 4 fleets of German fleet operators were equipped with high resolution GPS data loggers. A total of 1.26 million km of driving data has been recorded and constitutes one of the most comprehensive op
Externí odkaz:
https://doaj.org/article/ed1148932eea4fe2857e3f3fbfbcda0f
Publikováno v:
Energies, Vol 17, Iss 4, p 973 (2024)
Battery electric trucks (BETs) represent a well-suited option for decarbonizing road freight transport to achieve climate targets in the European Union. However, lower ranges than the daily distance of up to 700 km make charging stops mandatory. This
Externí odkaz:
https://doaj.org/article/efd7e3526a584243bf1aa8309bf761f3
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 1, p 32 (2024)
The successful introduction of battery electric trucks heavily depends on public charging infrastructure. But even as the first trucks capable of long-haul transportation are being built, no coherent fast-charging networks are yet available. This pap
Externí odkaz:
https://doaj.org/article/e5a4759382804f5e86d32b334547dd18
Publikováno v:
Energies, Vol 15, Iss 19, p 7137 (2022)
The decarbonization of the transport sector, and thus of road-based transport logistics, through electrification, is essential to achieve European climate targets. Battery electric trucks offer the greatest well-to-wheel potential for CO2 saving. At
Externí odkaz:
https://doaj.org/article/1a0276772e934d2bb0edf9c1e58d467f
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2299 (2022)
Computer vision has great potential to accelerate the global scale of photovoltaic potential analysis by extracting detailed roof information from high-resolution aerial images, but the lack of existing deep learning datasets is a major barrier. Ther
Externí odkaz:
https://doaj.org/article/8c37f22034f14dc994696d97e99014c2
Publikováno v:
eTransportation. 17:100253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f8d64036f0cd79af814acf5655bca67
https://doi.org/10.1016/j.etran.2023.100253
https://doi.org/10.1016/j.etran.2023.100253