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Iterative refinement of the discretization of the Dynamic Programming State Grid

  • Andreas Haag
  • Michael Bargende
  • P. Antony
  • F. Panik
Conference paper
Part of the Proceedings book series (PROCEE)

Abstract

The dynamic programming method is well known and widely used for the calculation of the optimal operating strategy of hybrid electric vehicles. In this paper the challenge of large grid sizes due to growing battery capacities and complex powertrain concepts and the need for fine discretization is met by an iterative approach which has the chance to reduce memory usage and computing time by reducing the SOC range with each iteration.

Keywords

Hybrid Electric Vehicle Internal Combustion Engine Driving Cycle Iterative Refinement State Grid 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Fachmedien Wiesbaden 2016

Authors and Affiliations

  • Andreas Haag
    • 1
  • Michael Bargende
    • 2
  • P. Antony
    • 3
  • F. Panik
    • 4
  1. 1.Promotionskolleg HybridHeubachGermany
  2. 2.FKFS Forschungsinstitut für KraftfahrwesenStuttgartGermany
  3. 3.Daimler AGSindelfingenGermany
  4. 4.Hochschule EsslingenEsslingen am NeckarGermany

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