Vehicle Energy Management Optimisation through Digital Maps and Connectivity

There is an opportunity for using digital maps with real-time updates to improve the energy management of vehicles. In this paper the authors present research on how this can be achieved in the particular case of plug-in hybrid electric vehicles. With perfect knowledge of the trip ahead, it is possible to find the optimal control of the vehicle. Digital maps however only provide averaged information about the future itinerary, such as location of stops, intersection type and average speed. First, the authors demonstrate how the authors can generate naturalistic speed profiles for a given itinerary. The authors do so by augmenting the information from digital maps by actual recorded speeds from a travel survey and Markov chains. Secondly, the authors detail how these speed profiles can be used for control optimization. The authors used the Pontryagin minimum principle to optimally tune the vehicle energy management and then evaluated the actual fuel savings using the Autonomie simulation tool.

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  • Supplemental Notes:
    • Abstracts used with permission of ERTICO – ITS Europe.
  • Corporate Authors:

    ERTICO - ITS Europe

    Avenue Louise 326, Blue Tower, 2nd Floor
    Brussels,   Belgium  B-1050
  • Authors:
    • Karbowski, Dominik
    • Sokolov, Vadim
    • Rousseau, Aymeric
  • Conference:
  • Publication Date: 2015

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 10p
  • Monograph Title: 22nd ITS World Congress. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01600381
  • Record Type: Publication
  • Report/Paper Numbers: ITS-1952
  • Files: TRIS
  • Created Date: May 24 2016 10:49AM