Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Franz Aubeck"'
Publikováno v:
Control Engineering Practice. 120:105002
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
In recent years, all major car manufacturers have started to introduce predictive functionalities based on an electronic horizon for the autonomous on-highway operation of their vehicles. Using the Advanced Driver Assistance Systems (ADAS) for antici
Publikováno v:
ECC
During recent years, commercial vehicle manufacturers have introduced legally required and advanced predictive functionalities into their vehicles. By applying modern supervisory Model Predictive Controllers (MPCs) for vehicle energy management and b
Autor:
Lukas Virnich, Giuseppe Sammito, Markus Schönen, Markus Ehrly, Joschka Schaub, Martin Müther, Stefan Pischinger, Thomas Lüdiger, Marius Walters, Dieter van der Put, Luping Bi, Peter Heuser, Bernd Lindemann, Franz Aubeck
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bddf806473a2a891542352a07fe7656
https://doi.org/10.51202/9783186813121-ii-291
https://doi.org/10.51202/9783186813121-ii-291
Publikováno v:
ITSC
The ongoing electrification of commercial conventional powertrains requires innovative solutions to relax human drivers and to automate non-trivial decision-making. The advanced fitness for propulsion systems are the telemetry, navigation and electro
Publikováno v:
ITSC
During recent years, all commercial vehicle manufacturers have introduced legally required and advanced predictive functionalities for their on-highway fleets. Telemetry, navigation and electronic horizon systems are the key elements for increasing s
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV)
In recent years, all major commercial vehicle OEMs have introduced predictive functionalities based on an electronic horizon for their on-highway fleets. Many studies show that more hybrid and electric vehicle variants in the medium and heavy commerc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::339cec7b6e1dc21d8ccaa392d73e30bf