Reduction of the prediction horizon of predictive energy management for a plug-in HEV in hilly terrain

Due to the great weight and high costs of electric energy storage systems (ESS), the number of pure electric vehicles (EV) is increasing only slowly. As a compromise between the autonomous hybrid electric vehicle (HEV) and EV, the plug-in HEV (PHEV) allows, like the EV, the recharging of the battery by the grid but brings also a combustion engine so as not to depend on the limited electric range of the vehicle. Next to the sizing of the vehicle components, the energy management strategy has an important influence on the fuel consumption of the vehicle. To minimize fuel consumption, predictive energy management is necessary, as all stored electric energy should be consumed by the end of the trip. In this way it is possible to minimize fuel consumption by substituting as much fuel as possible by the use of electric energy. In order to reach the global optimal result, a prediction horizon of the optimization for the duration of the entire trip is necessary. However, due to model uncertainties and the limited calculation capacities of the control units in a vehicle the global optimum cannot be achieved. Therefore, measures have to be taken to reduce the computation cost on the one hand and achieve results close to the global optimum on the other. One of these measures, next to an adequate optimization algorithm, is the reduction of the prediction horizon. In this study, for a real life cycle including urban and highway parts, a variation of the prediction horizon is carried out and the influence on the fuel consumption is simulated.

• Record URL:
  https://doi.org/10.2495/UT130311
• Availability:
  • Find a library where document is available. Order URL: http://www.witpress.com/978-1-84564-716-2.html
• Supplemental Notes:
  • Abstract reprinted with permission from WIT Press.
• Corporate Authors:

  WIT Press

  Ashurst Lodge
  Ashurst, Southampton  United Kingdom  SO40 7AA
• Authors:
  • Bader, B
  • Torres, O
  • Ortega, J A
  • Lux, G
  • Romeral, J L
• Conference:
  • 19th International Conference on Urban Transport and the Environment
  • Location: Kos , Greece
  • Date: 2013-5-29 to 2013-5-31
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 12p
• Monograph Title: Urban Transport XIX
• Serial:
  • WIT Transactions on the Built Environment
  • Issue Number: 130
  • Publisher: Wessex Institute of Technology
  • ISSN: 1743-3509
  • Serial URL: http://library.witpress.com/pages/listBooks.asp?tID=2

Subject/Index Terms

• TRT Terms: Algorithms; Energy consumption; Fuel consumption; Hills; Mathematical prediction; Optimization; Plug-in hybrid vehicles
• Uncontrolled Terms: Computational efficiency
• Subject Areas: Energy; Highways; Vehicles and Equipment; I96: Vehicle Operating Costs;

Filing Info

• Accession Number: 01494768
• Record Type: Publication
• ISBN: 9781845647162
• Files: TRIS
• Created Date: Sep 30 2013 1:59PM