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Fast Flux Mapping Technique for Synchronous Reluctance Machines: Method Description and Comparison With Full FEA and Measurements

This paper describes a fast approach for synchronous reluctance machine flux linkage mapping considering the cross-saturation effects. The rapid prediction of the flux maps <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">λ<i><sub>d</sub></i></b> ( <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>i</i><i><sub>d</sub></i>,<i>i</i><i><sub>q</sub></i></b> ) and <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">λ<i><sub>q</sub></i></b> ( <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>i</i><i><sub>d</sub></i>,<i>i</i><i><sub>q</sub></i></b> ) only requires the data (from finite element analysis or measurements) along the boundaries of the range to be mapped. To this purpose, two proper functions are defined to predict the effect of cross saturation based on the coenergy variation. The two analytical functions can be computed directly from the data acquired on the boundaries of the ( <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>i</i><i><sub>d</sub></i>,<i>i</i><i><sub>q</sub></i></b> ) current plane depending respectively on <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>i</i><i><sub>d</sub></i></b> and on <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>i</i><i><sub>q</sub></i></b> values. The method is applied to predict the flux linkage maps of a synchronous reluctance machine. The results from the semi-analytical method are compared to the full finite element analysis approach and with measurements. In the last part of the paper, different saturation models, based on a limited set of simulations, are compared, showing the new proposed method's potential, against other simplified approaches for a fast mapping.

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Coupled Electromagnetic–Thermal Modelling of Dynamic Performance for Modular SPM Machines

This paper presents coupled electromagnetic (EM)–thermal modelling of the steady-state dynamic performances, such as torque speed curve and the efficiency map, for surface-mounted permanent magnet machines. One important feature of such a model is that it considers the demagnetization caused by magnet temperature rise at different rotor speeds. EM-only simulations, which often assume that the machines operate under constant temperature, have been widely used in the literature. However, the interaction between EM and thermal performances could lead to very different dynamic performance prediction. This is because the material properties, e.g., magnet remanence, coercivity, and copper resistivity are temperature-dependent. The temperature rise within electrical machines reduces torque/power density, PM eddy current losses, and iron losses but increases copper loss. Therefore, the coupled EM–thermal modelling is essential to determine accurate temperature variation and to obtain accurate EM performances of electrical machines. In this paper, the coupled EM–thermal modelling is implemented for both modular and non-modular machines to reveal the advantages of the modular machine under different operating conditions. The results show that the modular machine generally has better dynamic performance than the non-modular machine because the introduced flux gaps in alternate stator teeth can boost both EM and thermal performance.

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Investigation of Ferrofluid Cooling for High Power Density Permanent Magnet Machines

This article investigates an advanced thermal management method adopting ferrofluid (FF) for improving the end-winding cooling of permanent magnet (PM) machines. An oil-based liquid with nano-sized ferromagnetic particles (which is known as FF) is used to fill in the cavity around the end windings. This is to establish an effective heat flux path between the end winding that is often regarded as hot spot in electrical machines and the external cooling system, i.e., water jacket, to improve the cooling performance of the PM machines. This improvement does not only result from the higher thermal conductivity and thermal expansion of the nanofluid with metal particles but also from strong thermomagnetic convection generated by the magnetic body force of the ferromagnetic particles within the FF. Multiphysics models considering the interaction between the electromagnetic field, the heat transfer, and the fluid dynamics have been built to study the thermal performances of a PM machine under different load conditions. Several factors affecting the thermomagnetic convection, such as the temperature-dependent magnetization curve of the FF, the concentration, and different ferromagnetic materials as well as different current densities, have been investigated to analyze their influences on cooling performance. One major finding is that, compared with other coolant without magnetic body force, the FF can significantly reduce machine peak temperature, e.g., by around <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${36.4}~^{\circ }\text{C}$ </tex-math></inline-formula> when the current density is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\boldsymbol {22.1}~\text {A} / {\text {mm}}^{ \boldsymbol {2}}$ </tex-math></inline-formula> .

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