Energy Demand Prediction in Hybrid Electrical Vehicles for Speed Optimization

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Authors

  • Daniel Fink
  • Sean Shugar
  • Zygimantas Ziaukas
  • Christoph Schweers
  • Ahmed Trabelsi
  • Hans-Georg Jacob

Research Organisations

External Research Organisations

  • IAV GmbH
View graph of relations

Details

Translated title of the contributionPrädiktion des Energiebedarfs eines hybrid elektrischen Kraftfahrzeugs zur Geschwindigkeitsoptimierung
Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems
EditorsJeroen Ploeg, Jeroen Ploeg, Markus Helfert, Karsten Berns, Oleg Gusikhin
Pages116 - 123
Number of pages8
Volume1
ISBN (electronic)9789897585739
Publication statusPublished - 3 May 2022
EventInternational Conference on Vehicle Technology and Intelligent Transport Systems - Online Streaming
Duration: 27 Apr 2022 → 29 Apr 2022
Conference number: 8
https://vehits.scitevents.org

Publication series

NameInternational Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings
ISSN (electronic)2184-495X

Abstract

Targeting a resource-efficient automotive traffic, modern driver assistance systems include speed optimization algorithms to minimize the vehicle's energy demand, based on predictive route data. Within these algorithms, the required energy for upcoming operation points has to be determined. This paper presents a model-based approach, to predict the energy demand of a parallel hybrid electrical vehicle, which is suitable to be used in speed optimization algorithms. It relies on separate models for the individual power train components, and is identified for a real test vehicle. On route sections of 5 to 7 km the averaged root mean square error for the state of charge prediction results to 0.91% while the required amount of fuel can be predicted with an averaged root mean square error of 0.05 liters.

Keywords

    Systems Modeling, Energy Demand Prediction

ASJC Scopus subject areas

Cite this

Energy Demand Prediction in Hybrid Electrical Vehicles for Speed Optimization. / Fink, Daniel; Shugar, Sean; Ziaukas, Zygimantas et al.
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems. ed. / Jeroen Ploeg; Jeroen Ploeg; Markus Helfert; Karsten Berns; Oleg Gusikhin. Vol. 1 2022. p. 116 - 123 (International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Fink, D, Shugar, S, Ziaukas, Z, Schweers, C, Trabelsi, A & Jacob, H-G 2022, Energy Demand Prediction in Hybrid Electrical Vehicles for Speed Optimization. in J Ploeg, J Ploeg, M Helfert, K Berns & O Gusikhin (eds), Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems. vol. 1, International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings, pp. 116 - 123, International Conference on Vehicle Technology and Intelligent Transport Systems, 27 Apr 2022. https://doi.org/10.5220/0011075600003191
Fink, D., Shugar, S., Ziaukas, Z., Schweers, C., Trabelsi, A., & Jacob, H.-G. (2022). Energy Demand Prediction in Hybrid Electrical Vehicles for Speed Optimization. In J. Ploeg, J. Ploeg, M. Helfert, K. Berns, & O. Gusikhin (Eds.), Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems (Vol. 1, pp. 116 - 123). (International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings). https://doi.org/10.5220/0011075600003191
Fink D, Shugar S, Ziaukas Z, Schweers C, Trabelsi A, Jacob HG. Energy Demand Prediction in Hybrid Electrical Vehicles for Speed Optimization. In Ploeg J, Ploeg J, Helfert M, Berns K, Gusikhin O, editors, Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems. Vol. 1. 2022. p. 116 - 123. (International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings). doi: 10.5220/0011075600003191
Fink, Daniel ; Shugar, Sean ; Ziaukas, Zygimantas et al. / Energy Demand Prediction in Hybrid Electrical Vehicles for Speed Optimization. Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems. editor / Jeroen Ploeg ; Jeroen Ploeg ; Markus Helfert ; Karsten Berns ; Oleg Gusikhin. Vol. 1 2022. pp. 116 - 123 (International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings).
Download
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AU - Schweers, Christoph

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