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.
| 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: | Conference Proceeding |
| 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 |
| Note: | 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 |
| Institutes: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |
| collections: | Verlag / Springer |
