Optimization Approach to Handle Global CO2 Fleet Emission Standards

Publikation: KonferenzbeitragPaperForschungBegutachtung

Abstract

A worldwide decrease of legal limits for CO2 emissions and fuel
economy led to stronger efforts for achieving the required reductions.
The task is to evaluate technologies for CO2 reduction and to define a
combination of such measures to ensure the targets. The challenge
therefor is to find the optimal combination with respect to minimal
costs. Individual vehicles as well as the whole fleet have to be
considered in the cost analysis - which raises the complexity. Hereby,
the focus of this work is the consideration and improvement of a new
model series against the background of a fleet and the selection of
measures. The ratio between the costs and the effect of the measures
can be different for the each vehicle configuration. Also, the
determination of targets depends whether a fleet or an individual
vehicle is selected and has impact on the selection and optimization
process of those measures. Nevertheless, balancing the boundary
conditions and additional targets like driving performance is crucial.
The effect and the need for the integration of such interactions into
the optimization approach is demonstrated.
Using an integrated model-based approach, the presented research
aims to combine the complexity of a complete vehicle simulation
focusing on CO2 emissions and the challenge of optimizing the
emissions of a vehicle fleet including cost aspects. The optimization
algorithm has to handle the target requirements for the fleet as well as
for the individual vehicle in accordance with boundary conditions for
driving performance, target conflicts and interactions between the
selected measures.
Originalspracheenglisch
DOIs
PublikationsstatusVeröffentlicht - 5 Apr 2016
VeranstaltungSAE World Congress 2016 - Detroit, USA / Vereinigte Staaten
Dauer: 12 Apr 201614 Apr 2016

Konferenz

KonferenzSAE World Congress 2016
LandUSA / Vereinigte Staaten
OrtDetroit
Zeitraum12/04/1614/04/16

ASJC Scopus subject areas

  • Fahrzeugbau
  • !!Discrete Mathematics and Combinatorics

Fields of Expertise

  • Mobility & Production

Treatment code (Nähere Zuordnung)

  • Application

Dies zitieren

Optimization Approach to Handle Global CO2 Fleet Emission Standards. / Martin, Michael; Eichberger, Arno; Dragoti-Cela, Eranda.

2016. Beitrag in SAE World Congress 2016, Detroit, USA / Vereinigte Staaten.

Publikation: KonferenzbeitragPaperForschungBegutachtung

Martin, M, Eichberger, A & Dragoti-Cela, E 2016, 'Optimization Approach to Handle Global CO2 Fleet Emission Standards' Beitrag in SAE World Congress 2016, Detroit, USA / Vereinigte Staaten, 12/04/16 - 14/04/16, . https://doi.org/10.4271/2016-01-0904
Martin M, Eichberger A, Dragoti-Cela E. Optimization Approach to Handle Global CO2 Fleet Emission Standards. 2016. Beitrag in SAE World Congress 2016, Detroit, USA / Vereinigte Staaten. https://doi.org/10.4271/2016-01-0904
Martin, Michael ; Eichberger, Arno ; Dragoti-Cela, Eranda. / Optimization Approach to Handle Global CO2 Fleet Emission Standards. Beitrag in SAE World Congress 2016, Detroit, USA / Vereinigte Staaten.
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abstract = "A worldwide decrease of legal limits for CO2 emissions and fueleconomy led to stronger efforts for achieving the required reductions.The task is to evaluate technologies for CO2 reduction and to define acombination of such measures to ensure the targets. The challengetherefor is to find the optimal combination with respect to minimalcosts. Individual vehicles as well as the whole fleet have to beconsidered in the cost analysis - which raises the complexity. Hereby,the focus of this work is the consideration and improvement of a newmodel series against the background of a fleet and the selection ofmeasures. The ratio between the costs and the effect of the measurescan be different for the each vehicle configuration. Also, thedetermination of targets depends whether a fleet or an individualvehicle is selected and has impact on the selection and optimizationprocess of those measures. Nevertheless, balancing the boundaryconditions and additional targets like driving performance is crucial.The effect and the need for the integration of such interactions intothe optimization approach is demonstrated.Using an integrated model-based approach, the presented researchaims to combine the complexity of a complete vehicle simulationfocusing on CO2 emissions and the challenge of optimizing theemissions of a vehicle fleet including cost aspects. The optimizationalgorithm has to handle the target requirements for the fleet as well asfor the individual vehicle in accordance with boundary conditions fordriving performance, target conflicts and interactions between theselected measures.",
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