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Thomas Henneron - IEEE Xplore Author Profile

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In order to design efficient power converter operating at high switching frequencies, the electromagnetic behavior of the printed circuit board (PCB) must be well known. Then, numerical approaches can be used to study the voltage and current waveforms as well as the current density distribution associated with a PCB. Considering a half-bridge converter connected to a passive electrical load, we pr...Show More
To study a low-frequency electromagnetic device represented by a finite-element (FE) model coupled with a complex electrical circuit, an approach based on the co-simulation principle can be investigated. Then, each component of a system is solved by a dedicated software. To reduce the computation time of a co-simulation, an approach based on the proper generalized decomposition (PGD) method that i...Show More
In an industrial context of electrical device design or expertise, it is common for engineers to use models based on the finite element (FE) method. In the case of nonlinear magneto-quasistatic problems, it can lead to prohibitive computational times. Then, model order reduction (MOR) approaches based on the proper orthogonal decomposition (POD) combined with a hyper-reduction (HR) method can be e...Show More
In order to reduce the computational time induced by solving a finite element (FE) model for a magnetostatic problem with varying geometric parameters, a parametric geometric metamodel is defined using the proper generalized decomposition (PGD) approach. The mesh deformation associated with the geometric variation is implemented using the radial basis functions (RBFs) interpolation method. The pro...Show More
Due to the advancement in the development of semiconductors used in the power converters, the printed circuit boards (PCBs) require an in-depth study of their electromagnetic behavior. To characterize the behavior of the PCBs, the Darwin model is employed, which can take into account all the coupled effects, namely resistive, inductive, and capacitive effects, at the intermediate frequencies. Neve...Show More
Numerical simulation of nonlinear magneto-quasistatic problems based on the Finite Element (FE) method can lead to significant computational times. Then, Model Order Reduction (MOR) approaches based on the Proper Orthogonal Decomposition (POD) alleviates the issue, by projecting the FE model onto a reduced basis. The accuracy of a reduced model depends on the choice of the reduced basis. In this c...Show More
From solutions of finite element (FE) simulations depending on parameters, a surrogate model of the FE solution can be built based on the proper orthogonal decomposition (POD) combined with the radial basis functions (RBFs) interpolation. Then, a fast approximation of an FE solution can be computed for any parameter set. In order to optimize the number of FE solutions required for the construction...Show More
The Cauer ladder network (CLN) method enables to construct a reduced-based circuit model of analytical or numerical models, e.g., finite-element (FE) model, under quasistatic approximation. This article proposes an estimator that provides guaranteed upper bounds of the truncation error due to the CLN method. The error estimator is tested on an analytical model and an FE model to validate the appro...Show More
The Darwin model, which simultaneously incorporates resistive, capacitive, and inductive effects but neglects the radiation one, has recently attracted more and more attention in the research area. For our industrial application needs, the finite-element (FE) system to solve derived from the Darwin model generally has a large size, which is beyond the capabilities of the direct solvers due to the ...Show More
A parametric geometric metamodel is built for a nonlinear magnetostatic problem, using proper orthogonal decomposition (POD) approach combined with radial basis functions (RBFs) interpolation. Furthermore, the geometrical variation of the problem is modeled using an RBF interpolation for smooth mesh deformation. The metamodel is applied for a single-phase EI inductance, and the aim is to create pr...Show More
As in most of the domains in physics, finite element (FE) formulation is a very common method for electromagnetic fields computation. For many years both proper orthogonal decomposition (POD) and empirical interpolation method are also often used in a model order reduction (MOR) context. If these methods are efficient, their application is intrusive because it requires access to the matrices and t...Show More
A method is proposed in this article to place sensors in an electrical machine in order to be able to reconstruct the magnetic field distribution. This method is based on the empirical interpolation method combined with the Maxvol technique. The results applied on a surface-mounted permanent magnet machine at no load show that the field distribution can be accurately reconstructed even when the se...Show More
The proper orthogonal decomposition (POD) approach is applied to a linear finite element (FE) model of a squirrel cage induction machine. In order to obtain a reduced model valid on the whole operating range, snapshots are extracted from the simulation of typical tests, such as at the locked rotor and the synchronous speed. Then, the reduced model of the induction machine is used to simulate diffe...Show More
In this article, a finite element (FE) modeling of the punching effect on the magnetic properties of electrical steel sheet is carried out. For that, the modified anhysteretic Sablik model is applied together with the plastic strain distribution obtained from a punching process simulation performed using the software ABAQUS. First, a synchronous electrical machine is simulated including the effect...Show More
Magnetic forces calculation for the electromagnetic noise and vibration analysis in electrical machines (eNVH) is a key issue for an accurate modelling of magneto-mechanical interactions. An accurate method to compute magnetic forces consists in applying Virtual Work Principle (VWP). However, the magnetic force result depends intrinsically on the electromagnetic mesh which is generally not adapted...Show More
In this article, the anhysteretic Sablik model is identified from measurements and implemented in a finite-element (FE) code. The model takes into account the effect of the plastic deformation through the dislocation density, and thus, enables to account for the degradation of the magnetic properties. A new model for magnetostriction is proposed and implemented in the Sablik model. Experimental da...Show More
This article describes a methodology for modeling a six-phase claw-pole alternator with its electrical environment. Magnetic nonlinearities, eddy currents, and rectifiers are taken into account. To solve magnetodynamic problems, we use the modified magnetic vector potential formulation. The complex structure of the machine requires a 3-D finite-element analysis. To limit the mesh size, we introduc...Show More
Due to fine discretization in space and time, the simulation of transient electromagnetic phenomena results in a large system of equations. To cope with this computational effort, model-order reduction techniques can be employed. To assess the accuracy of the solution of the reduced model, an error estimation is crucial. A commonly used approach consists in the evaluation of the deviation between ...Show More
The proper orthogonal decomposition (POD) is an interesting approach to compress into a reduced basis numerous solutions obtained from a parametrized finite-element (FE) model. In order to obtain a fast approximation of an FE solution, the POD can be combined with an interpolation method based on radial basis functions (RBFs) to interpolate the coordinates of the solution into the reduced basis. I...Show More
The proper generalized decomposition (PGD) is an a priori model-order reduction (MOR) method based on a variable-separated expression of the problem. Two iterative loops are needed in the PGD algorithm, namely, the outer loop for enriching the reduction modes progressively and the inner loop for solving each mode by fixed point iterations. Setting the stopping criterion of these two loops blindly ...Show More
In this article, the proper orthogonal decomposition (POD) is applied for parametric analysis in the gauged potential formulation of the Darwin model, considering both capacitive and inductive effects. Due to the large contrast in material parameters, the resulting system matrix is ill-conditioned. In addition, the condition number of the corresponding snapshot complex matrices is very huge. To im...Show More
Numerical techniques to extract important information from large systems of equations are in focus of research to cope with the computational effort. This paper discusses the feasibility of model order reduction techniques applied to magnetic scalar potential formulation coupled to the electric vector potential, known as T-Ω formulation. This formulation, compared to the magnetic vector potential ...Show More
In order to take into account a modification of the geometry during an optimization process or due to a physical phenomenon, a deformation of the elements of the spatial discretization is preferable to conserve a conformal mesh and to apply the finite element (FE) method. To perform the displacement of nodes, an interpolation method can be investigated in this context. In this paper, the radial ba...Show More
In this paper, a stabilized reduced-order model based on the gappy proper orthogonal decomposition (POD) technique is applied to an eddy-current problem with the non-linear material property. A classical magnetodynamic finite element formulation based on the magnetic vector potential is used as reference and starting point to build up the reduced models. The computational complexity of the non-lin...Show More
This paper presents a methodology that allows taking advantage of the geometrical periodicity of electrical machines together with the modeling of rotor motion. It enables by means of the discrete Fourier transform (DFT) to reduce the large-scale system obtained from the finite-element model to several smaller independent subsystems, allowing a shortening of the computational time. Due to DFT prop...Show More