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Objectified Drivability Evaluation and Classification of Passenger Vehicles in Automated Longitudinal Vehicle Drive Maneuvers with Engine Load Changes

FEV Europe GmbH-Stefan Tegelkamp, Christopher Schmidt, Henning Roehrich, Martin Nijs, Johannes Scharf
RWTH Aachen University-Daniel Guse, Christian Heusch, Stefan Pischinger
Published 2019-04-02 by SAE International in United States
To achieve global market and brand specific drivability characteristics as unique selling proposition for the increasing number of passenger car derivatives, an objectified evaluation approach for the drivability capabilities of the various cars is required. Thereto, it is necessary to evaluate the influence of different engine concepts in various complex and interlinked powertrain topologies during engine load change maneuvers based on physical criteria. Such an objectification approach enables frontloading of drivability related engineering tasks by the execution of drivability development and calibration work within vehicle subcomponent-specific closed-loop real-time co-simulation environments in early phases of a vehicle development program. So far, drivability functionalities could be developed and calibrated only towards the end of a vehicle development program, when test vehicles with a sufficient level of product maturity became available. The resulting compaction and parallelization of the calibration work to meet the emissions, on-board diagnostics as well as the drivability requirements drastically reduces development costs and time.This article presents an objectified drivability evaluation and classification approach for passenger cars, which is based on physical criteria, developed at…
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Influence of Vehicle Operators and Fuel Grades on Particulate Emissions of an SI Engine in Dynamic Cycles

RWTH Aachen University-Daniel Guse, Henning Roehrich, Martin Lenz, Stefan Pischinger
Published 2018-04-03 by SAE International in United States
With the implementation of the “Worldwide harmonized Light duty Test Procedure” (WLTP) and the highly dynamic “Real Driving Emissions” (RDE) tests in Europe, different engineering methodologies from virtual calibration approaches to Engine-in-the-loop (EiL) methods have to be considered to define and calibrate efficient exhaust gas aftertreatment technologies without the availability of prototype vehicles in early project phases. Since different types of testing facilities can be used, the effects of test benches as well as real and virtual vehicle operators have to be determined. Moreover, in order to effectively reduce harmful emissions, the reproducibility of test cycles is essential for an accurate and efficient application of exhaust gas aftertreatment systems and the calibration of internal combustion engines.In this paper, the influence of different human drivers on the particle count of a passenger car with a small turbocharged three-inline-cylinder gasoline engine with intake-manifold fuel injection is presented. Furthermore, the effects of one human driver in comparison to a virtual driver regarding the reproducibility of the test results are shown. In this setup several particulate measurement systems with…
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