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

Philipp Leise (), Nicolai Simon () and Lena C. Altherr ()
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Philipp Leise: Technische Universität Darmstadt
Nicolai Simon: Technische Universität Darmstadt
Lena C. Altherr: Münster University of Applied Sciences

A chapter in Operations Research Proceedings 2019, 2020, pp 457-463 from Springer

Abstract: 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.

Keywords: MINLP; Powertrain; Piecewise linearization; Efficiency optimization (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-48439-2_55

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DOI: 10.1007/978-3-030-48439-2_55

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