Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems
Article dans une revue avec comité de lecture
Auteur
Résumé
Efficient and optimal design of radar-based Advanced Driver Assistant Systems (ADAS) needs the evaluation of many different electromagnetic solutions for evaluating the impact of the radome on the electromagnetic wave propagation. Because of the very high frequency at which these devices operate, with the associated extremely small wavelength, very fine meshes are needed to accurately discretize the electromagnetic equations. Thus, the computational cost of each numerical solution for a given choice of the design or operation parameters, is high (CPU time consuming and needing significant computational resources) compromising the efficiency of standard optimization algorithms. In order to alleviate the just referred difficulties the present paper proposes an approach based on the use of reduced order modeling, in particular the construction of a parametric solution by employing a non-intrusive formulation of the Proper Generalized Decomposition, combined with a powerful phase-angle unwrapping strategy for accurately addressing the electric and magnetic fields interpolation, contributing to improve the design, the calibration and the operational use of those systems.
Fichier(s) constituant cette publication
Cette publication figure dans le(s) laboratoire(s) suivant(s)
Documents liés
Visualiser des documents liés par titre, auteur, créateur et sujet.
-
Article dans une revue avec comité de lectureREILLE, Agathe; CHAMPANEY, Victor; DAIM, Fatima; TOURBIER, Yves; HASCOET, Nicolas; GONZALEZ, David; CUETO, Elias; DUVAL, Jean Louis;
CHINESTA SORIA, Francisco (EDP Sciences, 2021)
Solving mechanical problems in large structures with rich localized behaviors remains a challenging issue despite the enormous advances in numerical procedures and computational performance. In particular, these localized ... -
Article dans une revue avec comité de lectureSANCARLOS, Abel; CAMERON, Morgan; ABEL, Andreas; CUETO, Elias; DUVAL, Jean-Louis;
CHINESTA SORIA, Francisco (Springer Science and Business Media LLC, 2020)
Lithium-ion batteries are widely used in the automobile industry (electric vehicles and hybrid electric vehicles) due to their high energy and power density. However, this raises new safety and reliability challenges which ... -
Article dans une revue avec comité de lectureA novel model order reduction (MOR) technique is presented to achieve fast and real-time predictions as well as high-dimensional parametric solutions for the electromagnetic force which will help the design, analysis of ...
-
Article dans une revue avec comité de lectureSANCARLOS, Abel; DUVAL, Jean-Louis; ZERBIB, Nicolas; CUETO, Elias;
GHNATIOS, Chady;
CHINESTA SORIA, Francisco (MDPI AG, 2021)
A novel Model Order Reduction (MOR) technique is developed to compute high-dimensional parametric solutions for electromagnetic fields in synchronous machines. Specifically, the intrusive version of the Proper Generalized ... -
Article dans une revue avec comité de lecture
SANCARLOS, Abel; CHAMPANEY, Victor;
CUETO, Elias;
CHINESTA SORIA, Francisco (Springer Open, 2023-03)
Regressions created from experimental or simulated data enable the construction of metamodels, widely used in a variety of engineering applications. Many engineering problems involve multi-parametric physics whose corresponding ...