Lumped-Parameter Thermal Model for Axial Flux Permanent Magnet Machines

Rostami, Naghi; Feyzi, Mohammad Reza; Pyrhönen, Juha; Parviainen, A.; Niemelä, Markku

doi:10.1109/tmag.2012.2210051

Cited by 89 publications

(57 citation statements)

References 17 publications

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“…where N u is the Nusselt number, 16 λ air is the thermal conductivity, g the length of air gap, r 2 is the outer radius of the copper, and v 1 is the relative speed of the two convection heat transfer surface, γ is the kinematic viscosity of the air. The temperature at each node can be calculated as…”

Section: -6mentioning

confidence: 99%

Eddy current loss calculation and thermal analysis of axial-flux permanent magnet couplers

Zheng

Wang

et al. 2017

AIP Advances

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A three-dimensional magnetic field analytical model of axial-flux permanent magnet couplers is presented to calculate the eddy current loss, and the prediction of the copper plate temperature under various loads is analyzed. The magnetic field distribution is calculated, and then the eddy current loss is obtained, with the magnetic field analytical model established in cylindrical coordinate. The influence of various loads on eddy current loss is analyzed. Furthermore, a thermal model of axial-flux permanent magnet couplers is established by taking the eddy current loss as the heat source, using the electromagnetic-thermal coupled method. With the help of the thermal model, the influence of various loads on copper plate temperature rise is also analyzed. The calculated results are compared with the results of finite element method and measurement. The comparison results confirm the validity of the magnetic field analytical model and thermal model.

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Section: -6mentioning

confidence: 99%

Eddy current loss calculation and thermal analysis of axial-flux permanent magnet couplers

Zheng

Wang

et al. 2017

AIP Advances

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“…For the upper surface of the flat plate (12) Compared with the forced water/air-cooled convection, natural air-cooled convection has little effect on the heat dissipation. However, h 3 needs to be adjusted by FEA temperature results, since it changes greatly with different surface temperature of the stator.…”

Section: A Fea Modelmentioning

confidence: 99%

“…Many studies about thermal analysis have been carried out for rotating motors such as rotating induction motors [8]- [10], rotating reluctance motors [11] and rotating permanent magnet motors [12]- [14]. However, the thermal analysis of PMLMs is more difficult and poorly documented, primarily due to their special open structure, large modeling area (at least half of the entire PMLM), and complex working patterns (reciprocating acceleration/ deceleration running, short-time duty, intermittent duty, etc.).…”

Section: Introductionmentioning

confidence: 99%

Thermal characteristics study of a water-cooled permanent magnet linear motor

Zhang

et al. 2014

2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER)

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For permanent magnet linear motors (PMLMs), large temperature rise can damage their performance and limit their output. Water-cooling system can be designed to reduce temperature rise and to improve thrust density. In order to study the thermal performance of a water-cooled, 14-pole, 12-slot PMLM, the finite element model and the thermal network model are erected. For water-cooled type PMLM, the modeling difficulties are solved. Under continuous duty, the temperature distribution of this PMLM is investigated based on the two models, which is validated by experimental results. The effect of water-cooling system and the impact of its parameters on temperature rise are investigated. And, the influence of temperature rise on motor thrust force, and efficiency is studied. Finally, based on the finite element model, thermal characteristics of this PMLM under shorttime duty and intermittent duty are studied, which find the relationship of running time and the maximum allowed short-time current, and the impact of load sustained rate.

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“…Lumped parameter thermal models are a commonly used approach to analyse and predict electrical machine thermal behaviour [1][2][3][4][5][6][7][8], particularly when considering a transient duty [9], [10]. This is predominantly because of the fast computation time of lumped parameter circuits, which is necessary when evaluating performance over extended duty cycles.…”

Section: Introductionmentioning

confidence: 99%