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@PHDTHESIS{Maiterth:843892,
author = {Maiterth, Johannes Moritz},
othercontributors = {Pischinger, Stefan and Eckstein, Lutz},
title = {{G}esamtkosten- und emissionsoptimierte {S}ystemauslegung
von {N}utzfahrzeug-{H}ybridantriebssträngen},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
reportid = {RWTH-2022-03491},
pages = {XIV, 119 SeitenSeiten : Illustrationen, Diagramme},
year = {2022},
note = {Dissertation, Rheinisch-Westfälische Technische Hochschule
Aachen, 2022},
abstract = {In the thesis „Optimal System Design for Commercial
Vehicle Powertrains based on Total Cost of Ownership and
Emissions“, a methodology for powertrain design is
developed with which the hybrid-electric powertrain of
commercial vehicles can be optimized for the respective
utilization profile. The needs of manufacturers and users
are taken into account. The goals are on the one hand the
reduction of pollutant emissions and CO2 for the
manufacturer and on the other hand the rapid amortization of
the additional costs based on a TCO analysis for the user.
This optimization is applied to two examples of heavy
commercial vehicles in long-distance and distribution
operations as HEVs and two further examples of medium-duty
commercial vehicles in urban and regional distribution
operations as HEVs and PHEVs. Based on a market study, an
introduction to the topic of electrified commercial
vehicles and also into the CO2 legislation is given.
Subsequently, the state of the art is explained in terms of
a total cost of ownership analysis. In addition, the
important topics of exhaust gas after treatment and
powertrain system design will be introduced. By means of a
scenario definition and various commercial vehicle-relevant
requirements, the framework conditions for the simulation
study are defined. As a first step for the system design,
the topology selection is carried out on the basis of a
morphological box and a P2 arrangement was chosen for both
medium and heavy-duty commercial vehicle applications. In
addition, the simulation and component models and scaling
approaches are explained. As an approach for the
optimization, design of experiments with subsequent
minimization of the payback period is used, while keeping
the constraints for emissions. For the system design the
following conclusions can be drawn. The optimization goal
and the weighting of the optimization parts must be clearly
defined in advance. It is possible to simultaneously
evaluate the amortization, the operation strategy and to
optimize emissions. With the introduction of CO2 legislation
in Europe, the focus will be more on vehicle
electrification since all optimized hybrid vehicles save
CO2 . Although depending on the scenario, the end customer
may have to take a longer payback period into account. With
rising fuel costs, hybridization will become more attractive
for end customers due to the savings in operating costs. As
a result of more frequent engine stop phases and thus
repeatedly falling temperatures in the exhaust tract, the
exhaust system must also be considered in the hybrid system
design. Due to the CO2 legislation, the focus for savings
will probably be mainly on heavy trucks for long-distance
transport, although the required CO2 savings of 15 $\%$
cannot only be achieved through hybridization. However,
hybridization can make a contribution, as shown in the case
study „5-LH“ with 9,6 $\%$ (weighted) CO2 savings. In
order for the hybrid systems to be profitable for the end
customer, customer-specific driving cycles must also be
taken into account in the selection process. Due to the high
mileage of the vehicles cycle-stable battery cells should be
used. Depending on the application, very high fuel savings
can be achieved in medium-duty distribution transport.
However, these systems require an increased mileage despite
the high percentage savings for the amortization and were
not profitable in the chosen scenarios. The PHEV system is
profitable if there is enough electrical range implemented
and electrical energy provides cost savings, whereby
increased differential costs compared to a HEV must be
compensated.},
cin = {412310},
ddc = {620},
cid = {$I:(DE-82)412310_20140620$},
typ = {PUB:(DE-HGF)11},
url = {https://publications.rwth-aachen.de/record/843892},
}
Gast ::