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Featured researches published by Jinlin Gong.


IEEE Transactions on Magnetics | 2012

Three-Level Output Space Mapping Strategy for Electromagnetic Design Optimization

Ramzi Ben Ayed; Jinlin Gong; Stéphane Brisset; F. Gillon; Pascal Brochet

Optimal design with finite element model is often expensive in terms of computation time. The output space mapping technique allows benefiting both the rapidity of the analytical model and the accuracy of the finite element model. In this paper, a three-level output space-mapping technique is proposed to reduce the computation time. Three models having a different granularity and describing the same device are used jointly within the optimization process. Proposed strategy is applied for solving the optimal design problems of two electromagnetic devices. Results show that three-level output space mapping strategy allows saving a substantial computation time compared to the classical two-level output space-mapping.


Compel-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering | 2012

Multi‐objective optimization of a linear induction motor using 3D FEM

Jinlin Gong; Alexandru Claudiu Berbecea; F. Gillon; Pascal Brochet

Purpose – The purpose of this paper is to present a low evaluation budget optimization strategy for expensive simulation models, such as 3D finite element models.Design/methodology/approach – A 3D finite element electromagnetic model and a thermal model are developed and coupled in order to simulate the linear induction motor (LIM) to be conceived. Using the 3D finite element coupling model as a simulation model, a multi‐objective optimization with a progressive improvement of a surrogate model is proposed. The proposed surrogate model is progressively improved using an infill set selection strategy which is well‐suited for the parallel evaluation of the 3D finite element coupling model on an eight‐core machine, with a maximum of four models running in parallel.Findings – The proposed strategy allows for a significant gain of optimization time. The 3D Pareto front composed of the finite element model evaluation results is obtained, which provides the designer with a set of optimal trade‐off solutions for ...


vehicle power and propulsion conference | 2010

Magnetic and thermal 3D finite element model of a Linear Induction Motor

Jinlin Gong; F. Gillon; P. Brochet

The end effects are the particular sensitive difficulty to model linear drives. Moreover an electrical machine model which only considers single physical aspect is not sufficiently accurate. In this paper, 3D magnetic and thermal models are achieved taking into account the end effects and the multi-physical aspects. For the first step, the linear motor is studied as a braking system with different displacement velocities. For the second step, the startup thrust force is studied with the coupling between the magnetic and thermal models. The both simulation results are compared to experimental results obtained by a test bench with the reduced scale.


IEEE Transactions on Magnetics | 2017

Proposal of a Kriging Output Space Mapping Technique for Electromagnetic Design Optimization

Jinlin Gong; F. Gillon; J. T. Canh; Yanliang Xu

Using the finite-element model (FEM) to achieve the optimal design of electromagnetic devices is a complex and time-consuming process. Space-mapping techniques reduce computation cost by aligning two models with different granularities, namely, a coarse model and a fine model. In this paper, Kriging output space mapping (OSM), an original space-mapping technique based on adaptive nonlinear corrective projection, is proposed and compared with a conventional OSM technique. The device for optimal sizing is a five-phase linear induction motor, which is represented through two modeling levels: 1) coarse (Kriging model) and 2) fine (2-D FEM). An advantage of this new technique is its ability to provide a sufficiently accurate model for each objective and constraint function and make the coarse model converge effectively toward the fine model.


international conference on electrical machines and systems | 2011

Optimal design of a linear induction motor for subway system

Jinlin Gong; F. Gillon; Pascal Brochet

Optimal design by means of finite element models is complex and time consuming. The Efficient Global Optimization (EGO) based on the progressive construction of a Kriging model used to drive the optimization problem allows for an affordable optimization time. In this paper, a linear induction motor (LIM) with double primaries for the subway system is designed, based on the validated 2D finite element model at reduced scale and the tramways needs. The optimal design problem of LIM is formulated using the rated point design approach and achieved using the EGO algorithm.


Archive | 2016

Optimal Design of a Linear Induction Motor for Traction Application

Jinlin Gong; F. Gillon; H. Zhong

In traction application, the electric motor design methodology is not trivial. This paper presents a design approach using rated point. Based on a 2D finite element model, design optimization of a double-sided linear induction motor is achieved using an efficient global optimization algorithm.


IEEE Transactions on Energy Conversion | 2018

Design Considerations of Five-Phase Machine with Double p/3p Polarity

Jinlin Gong; Hussein Zahr; Eric Semail; Mohamed Trabelsi; Bassel Aslan; Franck Scuiller

In the context of traction drives with required torque transient capabilities and a classically wide flux weakening speed range, this paper gives design considerations of a particular double-polarity (DP) five-phase machine. Beyond its intrinsic fault tolerance due to its five phases, its specificity is the ability to develop torques of comparable values under three kinds of supply: with only first, third or both first, and third sinusoidal currents. This property, due to first


international conference on electrical and information technologies | 2017

Performance and Thermal Analysis of Five-Phase Linear Induction Motor Optimal Control

Tao Tong; Jinlin Gong; Yadong Gao; Nicolas Bracikowski

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international conference on electrical and information technologies | 2017

Thermoelectric Coupling Analysis and Thermal Protection for Busbar Trunking System

Xiaodong Yin; Tao Tong; Yujiang Li; Jinlin Gong; Xiaohui Wang

and third


ieee conference on electromagnetic field computation | 2016

Proposal of a kriging output space mapping technique for electromagnetic design optimization

Jinlin Gong; F. Gillon; Julien Truong Canh; Yanliang Xu

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F. Gillon

École centrale de Lille

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P. Brochet

École centrale de Lille

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Eric Semail

Arts et Métiers ParisTech

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Franck Scuiller

United States Naval Academy

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