Inhomogeneous Model Predictive Control Horizon Discretization for an Urban Truck Energy Efficient Driving Application

This paper presents a novel approach on Model Predictive Control (MPC) using an inhomogeneously discretized preview horizon for the application of urban energy efficient driving. One solution for model predictive energy efficient driving is a direct solution of the underlying speed profile optimization problem using Quadratic Programming (QP), which allows computationally efficient and robust results. The authors' inhomogeneous horizon discretization allows to have a finer discretization of the typically important near future and a wider discretization of the less decisive far range of an MPC, while keeping a long preview horizon and at the same time limit the number of supporting points, hence limit the problem dimension, computational complexity, and proportional execution time. In extensive simulations of a real-world urban driving scenario, the authors demonstrate a significantly improved control performance in terms of fuel consumption, trip time, or constraint violation for the same computational complexity.

• Record URL:
  • https://doi.org/10.1109/ITSC.2015.78
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781467365956
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Henzler, Michael
  • Buchholz, Michael
  • Dietmeyer, Klaus
• Conference:
  • 18th International IEEE Conference on Intelligent Transportation Systems (ITSC)
  • Location: Canary Islands , Spain
  • Date: 2015-9-15 to 2015-9-18
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 430-436
• Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)

Subject/Index Terms

• TRT Terms: Fuel consumption; Mathematical programming; Optimization; Simulation; Trucks
• Uncontrolled Terms: Computational complexity; Quadratic programming; Speed profiles
• Subject Areas: Data and Information Technology; Freight Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01603019
• Record Type: Publication
• ISBN: 9781467365956
• Files: TRIS
• Created Date: Jun 28 2016 4:16PM