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

  • 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.

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Metadaten
Verfasserangaben:Philipp Leise, Nicolai Simon, Lena Altherr
DOI:https://doi.org/10.1007/978-3-030-48439-2_55
ISBN:978-3-030-48439-2
ISBN:978-3-030-48438-5
Titel des übergeordneten Werkes (Englisch):Operations Research Proceedings 2019
Verlag:Springer
Verlagsort:Cham
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Erscheinungsjahr:2020
Datum der Publikation (Server):22.11.2021
Freies Schlagwort / Tag:Efficiency optimization; MINLP; Piecewise linearization; Powertrain
Erste Seite:457
Letzte Seite:463
Bemerkung:
Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019
Link:https://doi.org/10.1007/978-3-030-48439-2_55
Zugriffsart:campus
Fachbereiche und Einrichtungen:FH Aachen / Fachbereich Elektrotechnik und Informationstechnik
collections:Verlag / Springer