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Comparison of Piecewise Linearization Techniques to Model Electric Motor Efficiency Maps: A Computational Study

In: Operations Research Proceedings 2019

Author

Listed:
  • Philipp Leise

    (Technische Universität Darmstadt)

  • Nicolai Simon

    (Technische Universität Darmstadt)

  • Lena C. Altherr

    (Münster University of Applied Sciences)

Abstract

To maximize the travel distances of battery electric vehicles such as cars or buses for a given amount of stored energy, their powertrains are optimized energetically. One key part within optimization models for electric powertrains is the efficiency map of the electric motor. The underlying function is usually highly nonlinear and nonconvex and leads to major challenges within a global optimization process. To enable faster solution times, one possibility is the usage of piecewise linearization techniques to approximate the nonlinear efficiency map with linear constraints. Therefore, we evaluate the influence of different piecewise linearization modeling techniques on the overall solution process and compare the solution time and accuracy for methods with and without explicitly used binary variables.

Suggested Citation

  • Philipp Leise & Nicolai Simon & Lena C. Altherr, 2020. "Comparison of Piecewise Linearization Techniques to Model Electric Motor Efficiency Maps: A Computational Study," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 457-463, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-48439-2_55
    DOI: 10.1007/978-3-030-48439-2_55
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