Litcius/Paper detail

Statistical Deviation of High-Frequency Lumped Model Parameters for Stator Windings in Three-Phase Electrical Machines

Alexander Hoffmann, Bernd Ponick

202018 citationsDOI

Abstract

This paper presents parametric models for high-frequency common- and differential-mode impedance analysis of electrical machines. The models are presented in terms of lumped equivalent circuit diagrams and their corresponding complex impedance equations. In order to parameterize the models, the differential evolution algorithm is used and a minimisation problem is defined. For model validation, the complex model impedance is compared to the measured impedance of eleven electrical machines of the same type. Furthermore, the lumped equivalent circuit parameters are individually identified for every single electrical machine and the resulting data is statistically interpreted. Moreover, detailed geometry and stator winding data as well as insulation material data of the investigated electrical machine are given. The intention is to enable more accurate simulations for EMC and insulation stress investigations as well as for filter and inverter designs.

Topics & Concepts

StatorElectrical impedanceElectromagnetic coilEquivalent circuitElectrical networkParametric statisticsParametric modelElectronic engineeringControl theory (sociology)EngineeringComputer scienceElectrical engineeringMathematicsVoltageArtificial intelligenceStatisticsControl (management)Electromagnetic Compatibility and Noise SuppressionSilicon Carbide Semiconductor TechnologiesElectrostatic Discharge in Electronics