Ce papier présente différentes techniques de métamodélisation afin d’analyser la variabilité des performances d’un système de transfert de puissance par induction (IPT), en tenant compte des sources d’incertitude (décentrage des bobines, la variation de l’entrefer et la rotation du récepteur). Pour les systèmes IPT, l’une des questions clés est l’efficacité de la transmission, qui est fortement influencée par les nombreuses sources d’incertitude. Il est donc important de déterminer une technique de métamodélisation susceptible d’évaluer rapidement les performances du système. Trois techniques de métamodélisation sont comparées : la régression à vecteurs de support, l’algorithme de programmation génétique multigénique et les développements du chaos polynomial (PCE), il ressort que la technique PCE est recommandée pour une telle analyse en raison du compromis entre le temps de calcul et la précision du métamodèle.
This paper presents some metamodeling techniques to analyze the variability of the performances of an inductive power transfer (IPT) system, considering the sources of uncertainty (misalignment between the coils, the variation in air gap, and the rotation on the receiver). For IPT systems, one of the key issues is transmission efficiency, which is greatly influenced by many sources of uncertainty. So, it is meaningful to find a metamodeling technique to quickly evaluate the system’s performances. According to the comparison of Support Vector Regression, Multigene Genetic Programming Algorithm, and sparse Polynomial Chaos Expansions (PCE), sparse PCE is recommended for the analysis due to the tradeoff between the computational time and the accuracy of the metamodel.
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Mot clés : Transfert d’énergie sans contact, Métamodèles, Développements du chaos polynomial, Régression à vecteurs de support, L’algorithme de programmation génétique multigénique
Yao Pei 1, 2 ; Lionel Pichon 1, 2 ; Mohamed Bensetti 1, 2 ; Yann Le Bihan 1, 2
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@article{CRPHYS_2024__25_S1_A13_0, author = {Yao Pei and Lionel Pichon and Mohamed Bensetti and Yann Le Bihan}, title = {Analysis of inductive power transfer systems by metamodeling techniques}, journal = {Comptes Rendus. Physique}, publisher = {Acad\'emie des sciences, Paris}, year = {2024}, doi = {10.5802/crphys.188}, language = {en}, note = {Online first}, }
TY - JOUR AU - Yao Pei AU - Lionel Pichon AU - Mohamed Bensetti AU - Yann Le Bihan TI - Analysis of inductive power transfer systems by metamodeling techniques JO - Comptes Rendus. Physique PY - 2024 PB - Académie des sciences, Paris N1 - Online first DO - 10.5802/crphys.188 LA - en ID - CRPHYS_2024__25_S1_A13_0 ER -
Yao Pei; Lionel Pichon; Mohamed Bensetti; Yann Le Bihan. Analysis of inductive power transfer systems by metamodeling techniques. Comptes Rendus. Physique, Online first (2024), pp. 1-15. doi : 10.5802/crphys.188.
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