This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Objectified Drivability Evaluation and Classification of Passenger Vehicles in Automated Longitudinal Vehicle Drive Maneuvers with Engine Load Changes
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 2, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
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 the RWTH Aachen University in cooperation with FEV Europe GmbH. At the beginning of this work, the derived physical criteria for the objectification of longitudinal drivability load change maneuver results are presented and their subjective significance is explained. The calculation and variation of these criteria are discussed against the background of reproducibility and vehicle-spanning sensitivity. In addition, the automated method for determining and recording of the drivability measurements is explained. Furthermore, the results of sensitivity tests, which are based on calibration changes with regard to the longitudinal vehicle drivability behavior, are examined in detail. Individual disturbances and their influence on the results and physical criteria are also discussed. Finally, by presenting and discussing the results of a multitude of driving tests with a variety of vehicles using different characteristic diagrams (e.g. scatter bands), the reliability, maturity and validity of the holistic method is demonstrated.
CitationGuse, D., Heusch, C., Pischinger, S., Tegelkamp, S. et al., "Objectified Drivability Evaluation and Classification of Passenger Vehicles in Automated Longitudinal Vehicle Drive Maneuvers with Engine Load Changes," SAE Technical Paper 2019-01-1286, 2019, https://doi.org/10.4271/2019-01-1286.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
|[Unnamed Dataset 2]|
|[Unnamed Dataset 3]|
|[Unnamed Dataset 4]|
|[Unnamed Dataset 5]|
|[Unnamed Dataset 6]|
|[Unnamed Dataset 7]|
- Venkitachalam, H., von Wissel, D., Richenhagen, J., “Metricbased Evaluation of Software Architecture for an Engine Management System,” SAE Int. J. Engines 9 (3), 1377-13852016, doi:10.4271/2016-01-0037.
- Ulmer, H., Heilig, A., Rühl, M., and Löw, B., “Improving the Calibration Process of Internal Combustion Engines by Using an Innovative Multidimensional Optimization Algorithm,” SAE Technical Paper 2016-01-2153, 2016, doi:10.4271/2016-01-2153.
- Maschmeyer, H., Kluin, M., and Beidl, C., “Real Driving Emissions - Ein Paradigmenwechsel in der Entwicklung,” Motortechnische Zeitschrift, 02.2015, Springer Automotive Media GWV Fachverlag GmbH, Wiesbaden, 2015
- Guse, D., Ueda, N., Trampert, S., Scharf, J., et al., “Powertrain Development Frontloading for RDE Compliance - Robust RDE Compliant PN Emissions Calibration at Engine-in-the-Loop Test Bench,” JSAE Technical Paper 2018-5-158.
- Schoeggl, P. and Ramschak, E., “Vehicle Driveability Assessment using Neural Networks for Development, Calibration and Quality Tests,” SAE Technical Paper 2000-01-0702, 2000, doi:10.4271/2000-01-0702.
- Liu, P., Zhang, T., and Zhao, X., “Vehicle Drivability Evaluation and Pedal-Acceleration Response Analysis,” Advances in Information Sciences and Service Sciences (AISS) 5(10), May 2013, doi:10.4156/AISS.
- Klein, S., Griefnow, P., Guse, D. et al., “Virtual 48 V Mild Hybridization - Efficient Validation by Engine-in-the-Loop,” SAE Technical Paper 2018-01-0410, 2018, doi:10.4271/2018-01-0410.
- Trampert, S., Nijs, M., Huth, T., Guse, D., “Simulation von realen Fahrszenarien am Prüfstand,” Motortechnische Zeitschrift extra, 01.2017, Springer Automotive Media GWV Fachverlag GmbH, Wiesbaden, 2017
- Slaney, T., Nijs, M., Guse, D., et al., “High Efficient Propulsion System Calibration Employing Engine-in-the-Loop Test Facilities,” in Symposium for Combustion Control 2018, RWTH Aachen University, Aachen, 2018
- Bencker, R., Brunner, H., and Freymann, R., “Simulationstechnische und experimentelle Untersuchung von Lastwechselphänomenen an Fahrzeugen mit Standardantrieb,” Innovative Fahrzeugantriebe, VDI Berichte Nr. 1565,2000, VDI-Verlag, Düsseldorf, 2000
- Mitschke, M. and Wallentowitz, H., Dynamik der Kraftfahrzeuge (Wiesbaden: Springer Vieweg, 2014).
- Loos, H. and Laermann, F., “Simulations and Measurements of Car Drivability Phenomena,” Vehicle System Dynamics, doi:10.1080/00423119208969412.
- SAE International Vehicle Dynamics Standards Committee, “Subjective Rating Scale for Vehicle Ride and Handling,” SAE Standard J1441_201609, 2016
- Lakshmanan, S., Palaniappan, A., and Chekuri, V., “Methodology for Evaluation of Drivability Attributes in Commercial Vehicle,” SAE Technical Paper 2015-01-2767, 2015, doi:10.4271/2015-01-2767.
- N.N, “Assessing Vibration: A Technical Guideline,” Department of Environment and Conservation NSW, Sydney, N.S.W, 2006, http://www.dec.nsw.gov.au/resources/vibrationguide0643.pdfRMS
- N.N, “Mechanical Vibration and Shock - Evaluation of Human Exposure to Whole-Body Vibration,” ISO 2631-1, Beuth Verlag, Berlin, July 1997
- Rößler, I. and Ungerer, A., “Statistik für Wirtschaftswissenschaftler,” Gabler Verlag, Wiesbaden, 2014