Model order reduction for electromagnetic design in power electronics

With the development of Wide Band Gap (WBG) power devices and their application in power electronics system, the evaluation of the key component electromagnetic (EM) behaviour is becoming increasingly important due to the fast switching speed and resulting dV/dt and dI/dt. Issues with WBG (Wide Band...

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Bibliographic Details
Main Author Gao, Xinning
Format Dissertation
LanguageEnglish
Published University of Nottingham 2022
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Summary:With the development of Wide Band Gap (WBG) power devices and their application in power electronics system, the evaluation of the key component electromagnetic (EM) behaviour is becoming increasingly important due to the fast switching speed and resulting dV/dt and dI/dt. Issues with WBG (Wide Band Gap) devices application such as EMI (electromagnetic interference) therefore must be considered at the design stage. Predicting electromagnetic effects using simulation tools is difficult because 3D models of design geometry and accurate semiconductor switching models must be coupled. These simulations require large numbers of time-steps to be applied to large simulation models. This thesis considers electromagnetic modelling in power electronics and potential methods for improvement for its simulation time. An electromagnetic simulation process using a numerical modelling method (Partial Element Equivalent Circuit (PEEC) method) is derived and evaluated in the thesis. The EM (Electromagnetic) modelling method is evaluated on impedance prediction and current density prediction. Model Order Reduction (MOR) techniques are then proposed to accelerate the simulation. Firstly, Standard, single-point MOR (Model Order Reduction) techniques are applied and evaluated through simple examples. The analysis on simulation results and experimental results with conventional MOR method shows the limitation on 3D simulation. A modified multi-point MOR technique is proposed in this thesis to enhance the accuracy with 3D simulation and compared with the conventional MOR method. An eigenvalue analysis method is derived and used to evaluate different MOR techniques explain the limitations of standard single-point MOR methods and the advantages of the multi-point approach. Further analysis on expansion point selection and its effect on simulation results are then given.