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Article Dans Une Revue Science and Technology for Energy Transition Année : 2024

Optimal drive cycle current supply of a wound field automotive electrical machine using surrogate models

Résumé

Surrogate models have become a widely used solution for reducing computation times along design processes. In this work, a Gaussian Process surrogate model is built and used to predict the performance and losses of a wound field electrical machine in a fast manner. This approach is relevant, especially for drive cycle calculations that rapidly generate rising computation costs if they are computed using physical models, especially finite elements analysis. We present in detail the established method and a comparison of the obtained results with finite elements results. In addition, a detailed analysis of the optimized current supply is presented, and the advantages of variable excitation current are highlighted.
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Dates et versions

hal-04387943 , version 1 (11-01-2024)

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Rebecca Mazloum, S Hlioui, Luc Laurent, M’hamed Belhadi, Guillaume Mermaz-Rollet, et al.. Optimal drive cycle current supply of a wound field automotive electrical machine using surrogate models. Science and Technology for Energy Transition, 2024, 79, pp.2. ⟨10.2516/stet/2023041⟩. ⟨hal-04387943⟩
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