@inproceedings{RuppKuperjansSchulze2016,
  author    = {Rupp, Matthias and Kuperjans, Isabel and Schulze, Sven},
  title     = {Energetische und {\"o}kologische Bewertung hybrider Antriebe im st{\"a}dtischen Busverkehr},
  series = {Commercial vehicle technology 2016 : proceedings of the 4th Commercial Vehicle Technology Symposium (CVT 2016), March 8-10, 2016, University of Kaiserslautern, Kaiserslautern, Germany},
  booktitle = {Commercial vehicle technology 2016 : proceedings of the 4th Commercial Vehicle Technology Symposium (CVT 2016), March 8-10, 2016, University of Kaiserslautern, Kaiserslautern, Germany},
  editor    = {Berns, Karsten},
  publisher = {Shaker},
  address   = {Aachen},
  organization    = {Internationales Commercial Vehicle Technology Symposium <4, 2016, Kaiserslautern>},
  pages     = {227 -- 237},
  year      = {2016},
  abstract  = {In Anbetracht weltweit zunehmend strengerer klimapolitischer Ziele steigt auch der Druck f{\"u}r Nutzfahrzeughersteller, effizientere und umweltfreundlichere Technologien zu entwickeln. Den Blick bei der Bewertung dieser ausschließlich auf die Fahrzeugnutzung zu richten, ist l{\"a}ngst nicht mehr zufriedenstellend. Im Rahmen dieser Analyse wird ein gegenw{\"a}rtig auf dem Markt erwerblicher und in deutschen St{\"a}dten bereits seit Jahren betriebener Hybridbus energetisch und {\"o}kologisch mit einem konventionell angetriebenen, nahezu baugleichen Modell entlang des Lebensweges bewertet. Nach Definition von Ziel und Untersuchungsrahmen wird ein {\"U}berblick auf bereits durchgef{\"u}hrte Lebenszyklusanalysen zu Hybridbussen im Stadtverkehr gegeben und Schlussfolgerungen f{\"u}r die anschließende Analyse abgeleitet. Diese wird im Rahmen einer energetischen und {\"o}kologischen Bewertung beider Produktsysteme anhand der Parameter "Prim{\"a}renergieeinsatz" und "CO2{\"a}q Emissionen" praktiziert. Der Fahrzeugrumpf beider Fahrzeuge des gleichen Modells wird dabei als einheitlich angenommen, sodass bei dem Vergleich der Herstellung vereinfacht nur die sich unterscheidenden Komponenten des Antriebstranges ber{\"u}cksichtigt werden. Die Resultate der Wirkungsabsch{\"a}tzung werden als Differenz des Hybridbusses gegen{\"u}ber dem Referenzfahrzeug {\"u}ber die einzelnen Lebenszyklusphasen dargestellt. Schließlich werden Prognosen getroffen, ab welcher Strecke die bei der Herstellung erzeugten h{\"o}heren CO2{\"a}q Emissionen des Hybridantriebstranges gegen{\"u}ber dem Referenzmodell ausgeglichen werden.},
  language  = {de}
}
@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{RuppSchulzeKuperjans2018,
  author    = {Rupp, Matthias and Schulze, Sven and Kuperjans, Isabel},
  title     = {Comparative life cycle analysis of conventional and hybrid heavy-duty trucks},
  series = {World electric vehicle journal},
  volume    = {9},
  journal   = {World electric vehicle journal},
  number    = {2},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2032-6653},
  doi       = {10.3390/wevj9020033},
  pages     = {Article No. 33},
  year      = {2018},
  abstract  = {Heavy-duty trucks are one of the main contributors to greenhouse gas emissions in German traffic. Drivetrain electrification is an option to reduce tailpipe emissions by increasing energy conversion efficiency. To evaluate the vehicle's environmental impacts, it is necessary to consider the entire life cycle. In addition to the daily use, it is also necessary to include the impact of production and disposal. This study presents the comparative life cycle analysis of a parallel hybrid and a conventional heavy-duty truck in long-haul operation. Assuming a uniform vehicle glider, only the differing parts of both drivetrains are taken into account to calculate the environmental burdens of the production. The use phase is modeled by a backward simulation in MATLAB/Simulink considering a characteristic driving cycle. A break-even analysis is conducted to show at what mileage the larger CO2eq emissions due to the production of the electric drivetrain are compensated. The effect of parameter variation on the break-even mileage is investigated by a sensitivity analysis. The results of this analysis show the difference in CO2eq/t km is negative, indicating that the hybrid vehicle releases 4.34 g CO2eq/t km over a lifetime fewer emissions compared to the diesel truck. The break-even analysis also emphasizes the advantages of the electrified drivetrain, compensating the larger emissions generated during production after already a distance of 15,800 km (approx. 1.5 months of operation time). The intersection coordinates, distance, and CO2eq, strongly depend on fuel, emissions for battery production and the driving profile, which lead to nearly all parameter variations showing an increase in break-even distance.},
  language  = {en}
}
@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}
}