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.
Highlights
The fulfillment of current and future legal requirements regarding the emissions of passenger cars has led to a progressive electrification of the powertrain
To support the decision making process, a multi-criteria decision analysis based on objective criteria is proposed that uses the Analytic Hierarchy Process (AHP) [1]
The proposed method in this paper focuses on the individual user and utilizes real driving cycles for the optimization of powertrain components and the weighting of the AHP criteria
Summary
The fulfillment of current and future legal requirements regarding the emissions of passenger cars has led to a progressive electrification of the powertrain. Mehrkish et al [4] uses the AHP for the rating of different powertrain configurations for an existing vehicle under consideration of fuel consumption, costs and performance. The torque and speed range of the electric machine are scaled according to the requirements of the generated cycle and the gearbox is adapted to the cycle This approach represents an optimized powertrain for a class of users. The proposed method in this paper focuses on the individual user and utilizes real driving cycles for the optimization of powertrain components and the weighting of the AHP criteria. The present paper focuses on the structure of the decision making process and the extraction of characteristics from the usage profile. The results of the AHP are presented and the optimal powertrain for a specific usage profile is provided
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