Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. CURVE is the Institutional Repository for Coventry University AbstractThe influence of temperature conditions on electric machine models is not well understood. This paper investigates modelling the temperature dependence of equivalent circuit parameters. Experiments have been performed on an induction machine to characterise its impedance response (up to 10 MHz) over the temperature range (22.4-210) o C. Using these measurements non-linear parameter estimation is performed using the Nelder-Mead method to derive temperature-dependent models, with an average absolute magnitude error of 270 Ω. The accuracy has been evaluated over the frequency range for the different temperatures and highlights where improvements are needed. This work has important applications in electric machine design and condition monitoring. Also it provides a valuable precursor towards developing age-dependent models for traction based applications.

This paper explores performing identifiability analysis on the equivalent circuit model (ECM) parameters of an electric machine (EM) using its impedance response. When modelling the ECM of an EM for room temperature conditions, some of the ECM parameters can be obtained from the manufacturer's data. However, as the temperature of an EM increases this significantly changes the underlying physics (resistivity, capacitance and inductance) of machine parameters, therefore the manufacturers data become inaccurate for equivalent circuit modelling purposes. ECM parameters need to be obtained from the frequency response under the different temperature conditions. To achieve this a nonlinear optimisation scheme with constraints is proposed for the purpose of ECM parameter identification, whereby a temperature-dependent ECM is derived. This work has important applications in EM design and condition monitoring and provides a valuable precursor towards developing age-dependent models.

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