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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
Author: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
Parent Title (English):Operations Research Proceedings 2019
Publisher:Springer
Place of publication:Cham
Document Type:Part of a Book
Language:English
Year of Completion:2020
Date of the Publication (Server):2021/11/22
Tag:Efficiency optimization; MINLP; Piecewise linearization; Powertrain
First Page:457
Last Page:463
Link:https://doi.org/10.1007/978-3-030-48439-2_55
Zugriffsart:bezahl