Derivation of Real Driving Emission Cycles based on Real-world Driving Data - Using Markov Models and Threshold Accepting

Roman Liessner, Robert Fechert, Bernard Bäker

2017

Abstract

The European Union has decided to bring the Real Driving Emissions (RDE) law into force in 2016. From this point onward, the air pollutants a vehicle emits under real driving conditions will be measured by means of a so-called Portable Emissions Measurement System (PEMS) and then used as the basis for licensing. Compared to the emission values presently determined in the New European Driving Cycle (NEDC), a significant rise can be expected. This change is on the one hand caused by a substantially more dynamic driving style prescribed by RDE regulations, and on the other hand by considerably larger variations of ambient conditions. A trend of development resulting from this conversion is the creation of test cycles conforming to RDE regulations, which enable vehicle development to adhere to the new licensing regulations. The validity of a RDE drive is gradually verified based on multiple criteria before respective emission values are determined at the end of the process. The contribution at hand presents a new approach for generating RDE substitute cycles. At first, the criterion of driving dynamics will be focussed upon. To realize this, combinatorics of a large set of real driving data will be used to generate substitute cycles, which will exhibit driving dynamics as high as possible. This specification achieves universal, vehicle independent limitation cycles featuring high emission levels. By using the described limitation cycles, a first vehicle examination concerning the fulfilment of RDE regulations is made possible.

References

  1. Dueck, G. and Scheuer, T. (1990). Threshold accepting: A general purpose optimization algorithm appearing auperior to simulated annealing. Journal of Computational Physics, 90(1):161-175.
  2. European Commission (2016). Comission Regulation (EU) 2016/646. Official Journal of the European Union.
  3. Fotouhi, A. and Montazeri-Gh, M. (2013). Tehran driving cycle development using the -means clustering method. Scientia Iranica, 20(2):286-293.
  4. Fraidl, G., Kapus, P., and Vidmar, K. (2016). The gasoline engine and RDE challenges and prospects. In 16. Internationales Stuttgarter Symposium, Wiesbaden. Springer Fachmedien.
  5. Gerstenberg, J., Hartlief, H., and Tafel, S. (2016). Introducing a method to evaluate RDE demands at the engine test bench. In 16. Internationales Stuttgarter Symposium, Wiesbaden. Springer Fachmedien.
  6. Lee, T.-K. and Filipi, Z. S. (2010). Synthesis and validation of representative real-world driving cycles for plugin hybrid vehicles. In 2010 IEEE Vehicle Power and Propulsion Conference (VPPC), pages 1-6.
  7. Ließner, R., Dietermann, A., Lüpkes, K., and Bäker, B. (2017). Generation of replacement vehicle speed cycles based on extensive customer data by means of markov models and threshold accepting. SIAT - Symposium on International Automotive Technology 2017.
  8. Maschmeyer, H., Beidl, C., Düser, T., and Schick, B. (2016). Real Driving Emissions - Ein Paradigmenwechsel in der Entwicklung. MTZ - Motortechnische Zeitschrift, 76:36-41.
  9. Steinbach, M., Neumann, T., Kutzner, A., Lehmann, V., Kassem, V., and Dreiser, M. (2016). Model supported calibration process for future RDE requirements. In 16. Internationales Stuttgarter Symposium, Wiesbaden. Springer Fachmedien.
  10. Stroock, D. W. (2013). An introduction to Markov processes. Graduate texts in mathematics. Springer, Berlin, 2nd edition.
Download


Paper Citation


in Harvard Style

Liessner R., Fechert R. and Bäker B. (2017). Derivation of Real Driving Emission Cycles based on Real-world Driving Data - Using Markov Models and Threshold Accepting . In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-242-4, pages 188-195. DOI: 10.5220/0006291701880195


in Bibtex Style

@conference{vehits17,
author={Roman Liessner and Robert Fechert and Bernard Bäker},
title={Derivation of Real Driving Emission Cycles based on Real-world Driving Data - Using Markov Models and Threshold Accepting},
booktitle={Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2017},
pages={188-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006291701880195},
isbn={978-989-758-242-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Derivation of Real Driving Emission Cycles based on Real-world Driving Data - Using Markov Models and Threshold Accepting
SN - 978-989-758-242-4
AU - Liessner R.
AU - Fechert R.
AU - Bäker B.
PY - 2017
SP - 188
EP - 195
DO - 10.5220/0006291701880195