TITLE:
Multi-Criteria Decision Analysis for Usage Based Optimization of Powertrains
AUTHORS:
Tobias Hellberg, Martin Meywerk
KEYWORDS:
Multi-Criteria Decision Analysis, Analytic Hierarchy Process, Powertrain, Hybrid Electric Vehicle, Battery Electric Vehicle, Optimization
JOURNAL NAME:
Engineering,
Vol.8 No.6,
June
22,
2016
ABSTRACT: The electrification of powertrains leads to an increasing diversification of powertrain configurations. Each single configuration has its specific advantages which appear depending on the usage profile. To find the usage based optimal powertrain in consideration of a variety of evaluation criteria, the powertrains have to be optimized for the usage profile and characteristics have to be extracted from the usage profile. The carbon dioxide emissions of the optimized powertrains and usage based criteria are used in a multi-criteria decision analysis to determine the optimal powertrain for a specific usage profile. The description of characteristic maps forms the objective function of a minimization problem. The determined carbon dioxide emissions are one criterion in a multi-criteria decision process. All considered criteria are at least partly objective so that subjective ratings are eliminated as far as possible. The result is an optimized powertrain for a desired usage under the consideration of objective criteria that are extracted from the usage profile.