A 3D Dynamic Lumped Parameter Thermal Network of Air-Cooled YASA Axial Flux Permanent Magnet Synchronous Machine

Mohamed, Abdalla Hussein; Hemeida, Ahmed; Rashekh, Alireza; Vansompel, Hendrik; Arkkio, Antero; Sergeant, Peter

doi:10.3390/en11040774

Cited by 18 publications

(16 citation statements)

References 26 publications

(51 reference statements)

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“…The outputs are the winding, core, and rotor losses. The thermal models used were presented in [33], [34]. They are based on 3D FE and lumped parameter thermal networks (LPTN) for the machine.…”

Section: B Loss Comparisonmentioning

confidence: 99%

A Simple and Efficient Quasi-3D Magnetic Equivalent Circuit for Surface Axial Flux Permanent Magnet Synchronous Machines

Hemeida

Lehikoinen

Rasilo

et al. 2019

IEEE Trans. Ind. Electron.

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This paper presents a simple and efficient magnetic equivalent circuit (MEC) model for surface axial flux permanent magnet synchronous machines. The MEC model is used to solve all the electromagnetic properties of the machine including the no load, full load voltages, cogging torque, torque ripple and stator iron core losses. Moreover, this approach can be extended for all surface permanent magnet synchronous machines. The main novelty of this approach is the development of a static system, which accounts for the rotation. The model takes into account the rotor rotation via time dependent permanent magnet magnetization sources. The static system matrix facilitates a very fast solving. In addition, to take into account the 3D effect, a multi-slicing of the machine in the radial direction is done. This boosts the simulation time to only 60 seconds for 6 slices and 50 time steps including the non-linear behaviour of the stator elements with a great accuracy. Additionally, the number of elements in the MEC can be adjusted to reduce the computational time. This model is verified by means of 3D and 2D multi slice finite element (FE) models. In addition, experimental validations are also provided at the end. Index Terms-Analytical modeling, Axial flux permanent magnet synchronous machines (AFPMSM), Cogging torque, Magnetic equivalent circuit (MEC), Surface permanent magnet synchronous machines (SPMSM), Torque ripple. Peter Sergeant received the M.Sc. degree in electromechanical engineering and the Ph.D. degree in engineering sciences from

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Section: B Loss Comparisonmentioning

confidence: 99%

A Simple and Efficient Quasi-3D Magnetic Equivalent Circuit for Surface Axial Flux Permanent Magnet Synchronous Machines

Hemeida

Lehikoinen

Rasilo

et al. 2019

IEEE Trans. Ind. Electron.

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“…The geometry of the YASA machine under study is shown in Figure 1, while the material properties are given in Table 1. The details of the LPTN model developed by the authors and adopted for the study in this paper can be found in [16]. In this model, the rotor and the stator are represented by two different networks coupled by the analytical convection heat transfer coefficients in [20,21].…”

Section: Yasa Lptnmentioning

confidence: 99%

“…Refs. [10][11][12][13] are some of the papers presenting the FEM thermal modeling technique for the YASA machine while [14][15][16] studied the LPTN modeling method. The LPTN method has the advantage of being fast enough while, on the other hand, the FEM method provides a more detailed temperature distribution in every part.…”

Section: Introductionmentioning

confidence: 99%

Parametric Studies for Combined Convective and Conductive Heat Transfer for YASA Axial Flux Permanent Magnet Synchronous Machines

et al. 2018

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In this paper, the effect of some geometrical parameters on the steady state average temperature of the stator core, the winding and the permanent magnets of the yokeless and segmented armature (YASA) axial flux permanent magnet synchronous machine (AFPMSM) is studied. The geometrical parameters selected for the study are the air gap length, the inward heat extraction fin thickness and the permanent magnet thickness. These parametric studies make it possible to obtain a better trade-off between power density and efficiency. These investigations are very helpful in correlating the values of the geometrical parameters to some specific desired performance criteria like not going below some desired minimum efficiency, limiting the temperature of specific part to some maximum value for maximization of lifetime and also determination of the allowed speed range to limit the temperatures lower than the critical values. This is important specifically for the synchronous machines due to the fact that the speed value affects both the losses and the heat transfer convection coefficients. The air gap length has a direct effect on the overall machine losses and the air gap convection coefficient and hence on the temperature of the machine. As the fins are between the stator windings, a thicker fin reduces the space for copper windings and hence increases the losses, but at the same time improves heat evacuation. In addition, the effect on the temperature is studied of the speed variation, which influences both the losses and the convection coefficients of the machine. Every study is made based on coupled electromagnetic and thermal models. The results are obtained from analytical electromagnetic and thermal models verified by finite element simulations and validated experimentally on a 4 kW yokeless and segmented armature axial flux machine.

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“…For example, Yabiku et al built a 9-node network for one linear motor, Rostami et al built a 13-node network for one axial flux permanent magnet machine [14][15][16][17], and Aldo Boglietti et al established four different orders of LPTN to study the effect of order on temperature prediction [18]. Moreover, Mohamed et al built a 3D LPTN to describe the thermal behavior of a YASA motor [19]. However, all these studies ignored the difference between the heat source and the non-heat source, and directly applied the traditional LPTN to the heat source.…”

Section: Introductionmentioning

confidence: 99%

An Improved LPTN Method for Determining the Maximum Winding Temperature of a U-Core Motor

Yan

Cao

2020

Energies

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In a traditional lumped-parameter thermal network, no distinction is made between the heat and non-heat sources, resulting in both larger heat flux and temperature drop in the uniform heat source. In this paper, an improved lumped-parameter thermal network is proposed to deal with such problems. The innovative aspect of this proposed method is that it considers the influence of heat flux change in the heat source, and then gives a half-resistance theory for the heat source to achieve the temperature drop balance. In addition, the coupling relationship between the boundary temperature and loading position of the heat generator is also added in the lumped-parameter thermal network, so as to amend the loading position and nodes’ temperature through iterations. This approach breaks the limitation of the traditional lumped-parameter thermal network: that the heat generator can only be loaded at the midpoint, which is critical to determining the maximum temperature in asymmetric heat dissipation. By adjusting the location of heat generator and thermal resistances of each branch, the accuracy of temperature prediction is further improved. A simulation and an experiment on a U-core motor show that the improved lumped-parameter thermal network not only achieves higher accuracy than the traditional one, but also determines the loading position of the heat generator well.

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A 3D Dynamic Lumped Parameter Thermal Network of Air-Cooled YASA Axial Flux Permanent Magnet Synchronous Machine

Cited by 18 publications

References 26 publications

A Simple and Efficient Quasi-3D Magnetic Equivalent Circuit for Surface Axial Flux Permanent Magnet Synchronous Machines

A Simple and Efficient Quasi-3D Magnetic Equivalent Circuit for Surface Axial Flux Permanent Magnet Synchronous Machines

Parametric Studies for Combined Convective and Conductive Heat Transfer for YASA Axial Flux Permanent Magnet Synchronous Machines

An Improved LPTN Method for Determining the Maximum Winding Temperature of a U-Core Motor

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