Application of classic and T lumped parameter thermal models for Permanent Magnet Synchronous Machines

Guemo, Gilles Guedia; Chantrenne, Patrice; Jac, Julien

doi:10.1109/iemdc.2013.6556186

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…First, temperatures reached in the permanent magnet machine are quite usual (165.5°C) as it can be found in other studies [16]. This leads to be optimistic about the quality of the simulations, both for losses determination and the thermal study.…”

Section: 3mentioning

confidence: 92%

Comparative study of permanent magnet synchronous machine vs salient pole synchronous machine in high temperature application

Cousseau

Romary

Balavoine

et al. 2022

Eur. Phys. J. Appl. Phys.

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Section: 3mentioning

confidence: 92%

Comparative study of permanent magnet synchronous machine vs salient pole synchronous machine in high temperature application

Cousseau

Romary

Balavoine

et al. 2022

Eur. Phys. J. Appl. Phys.

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“…Of all the thermal parameters, including the thermal resistance, thermal capacitance should be calculated using the component dimensions, material parameters and some thermal coefficients. This method was proposed as a name of the lumped-parameter thermal network (LPTN) for real-time electric machine temperature estimation [10][11][12]. Paper [13] extends the analysis from the 2-dimensional (2-D) model to the 3-D model with good accuracy, and paper [14] further develops this method with a simplified model but persists in a high estimation accuracy.…”

Section: Accurate Thermal Model With Analytical Calculationmentioning

confidence: 99%

Static sensor assisted rotor temperature estimation of permanent magnet machine for the low‐speed servo applications

Sun

Gan

Xiao

2023

IET Electric Power Appl

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A permanent magnet synchronous machine (PMSM) temperature estimation method fusing the classic lumped‐parameter thermal network (LPTN) and the stator sensor temperature information is investigated. With respect to the industrial servo applications, it is important to monitor the rotor magnet temperature to extend the machine thermal utilisation. A simple LPTN is developed and the quadratic programming is applied to identify the model parameters. The research work shows that the rotor temperature is sensitive to the rotor speed even at low speeds, and this simple estimation network can provide an accurate estimation. The winding sensor information can further improve the performance. A compound mechanism is built, by which the winding temperature estimation error is used as feedback to suppress the model‐based temperature estimation error accumulation. The estimation performance is compared with a regular constant LPTN‐based method. Experimental results based on a PMSM are presented to validate the proposed method.

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“…02008-p. 4 teeth of stator, which is equal to 15.875 mm. The rotor moves to the right, and the speed is 2mm per second.…”

Section: Web Of Conferences Matecmentioning

confidence: 99%

Electromagnetic Modeling of a Linear Synchronous Machine by Lumped Approach

Cui

Xie

2015

MATEC Web of Conferences

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Application of classic and T lumped parameter thermal models for Permanent Magnet Synchronous Machines

Cited by 5 publications

References 3 publications

Comparative study of permanent magnet synchronous machine vs salient pole synchronous machine in high temperature application

Comparative study of permanent magnet synchronous machine vs salient pole synchronous machine in high temperature application

Static sensor assisted rotor temperature estimation of permanent magnet machine for the low‐speed servo applications

Electromagnetic Modeling of a Linear Synchronous Machine by Lumped Approach

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