@inproceedings{RoosenFeyerl2015,
  author    = {Roosen, Petra and Feyerl, G{\"u}nter},
  title     = {Gender-specific perception and utilization of personal use vehicles},
  series = {FISITA World Automotive Congress 2014 : Maastricht, The Netherlands, 2 - 6 June / [organised by the International Federation of Automotive Engineering Societies (FISITA) ...]. Bd. 1},
  booktitle = {FISITA World Automotive Congress 2014 : Maastricht, The Netherlands, 2 - 6 June / [organised by the International Federation of Automotive Engineering Societies (FISITA) ...]. Bd. 1},
  publisher = {Curran},
  address   = {Red Hook, NY},
  isbn      = {978-1-5108-0209-4},
  pages     = {418 -- 425},
  year      = {2015},
  language  = {en}
}
@inproceedings{SchulzeMuehleisenFeyerl2018,
  author    = {Schulze, Sven and M{\"u}hleisen, M. and Feyerl, G{\"u}nter},
  title     = {Adaptive energy management strategy for a heavy-duty truck with a P2-hybrid topology},
  series = {18. Internationales Stuttgarter Symposium. Proceedings},
  booktitle = {18. Internationales Stuttgarter Symposium. Proceedings},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  doi       = {10.1007/978-3-658-21194-3},
  pages     = {75 -- 89},
  year      = {2018},
  language  = {en}
}
@article{MeyerGranrathFeyerletal.2021,
  author    = {Meyer, Max-Arno and Granrath, Christian and Feyerl, G{\"u}nter and Richenhagen, Johannes and Kaths, Jakob and Andert, Jakob},
  title     = {Closed-loop platoon simulation with cooperative intelligent transportation systems based on vehicle-to-X communication},
  series = {Simulation Modelling Practice and Theory},
  volume    = {106},
  journal   = {Simulation Modelling Practice and Theory},
  number    = {Art. 102173},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1569-190X},
  doi       = {10.1016/j.simpat.2020.102173},
  year      = {2021},
  language  = {en}
}
@techreport{HebelMerkensFeyerletal.2021,
  author    = {Hebel, Christoph and Merkens, Torsten and Feyerl, G{\"u}nter and Kemper, Hans and Busse, Daniel},
  title     = {Elektromobilit{\"a}t - Verbundprojekt "COSTARTebus": Comprehensive strategy to accelerate the integration of electric-buses into existing public transport systems - Teilprojekt A : Berichtszeitraum: 01.01.2018-31.10.2020},
  publisher = {Fachhochschule Aachen},
  address   = {Aachen},
  pages     = {219 Seiten},
  year      = {2021},
  language  = {de}
}
@article{SchulzeFeyerlPischinger2023,
  author    = {Schulze, Sven and Feyerl, G{\"u}nter and Pischinger, Stefan},
  title     = {Advanced ECMS for hybrid electric heavy-duty trucks with predictive battery discharge and adaptive operating strategy under real driving conditions},
  series = {Energies},
  volume    = {16},
  journal   = {Energies},
  number    = {13},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1996-1073},
  doi       = {10.3390/en16135171},
  pages     = {29 Seiten, Art. Nr.: 5171},
  year      = {2023},
  abstract  = {To fulfil the CO2 emission reduction targets of the European Union (EU), heavy-duty (HD) trucks need to operate 15\% more efficiently by 2025 and 30\% by 2030. Their electrification is necessary as conventional HD trucks are already optimized for the long-haul application. The resulting hybrid electric vehicle (HEV) truck gains most of the fuel saving potential by the recuperation of potential energy and its consecutive utilization. The key to utilizing the full potential of HEV-HD trucks is to maximize the amount of recuperated energy and ensure its intelligent usage while keeping the operating point of the internal combustion engine as efficient as possible. To achieve this goal, an intelligent energy management strategy (EMS) based on ECMS is developed for a parallel HEV-HD truck which uses predictive discharge of the battery and adaptive operating strategy regarding the height profile and the vehicle mass. The presented EMS can reproduce the global optimal operating strategy over long phases and lead to a fuel saving potential of up to 2\% compared with a heuristic strategy. Furthermore, the fuel saving potential is correlated with the investigated boundary conditions to deepen the understanding of the impact of intelligent EMS for HEV-HD trucks.},
  language  = {en}
}