Lumped parameter thermal model of the rectangular bar in an induction motor rotor

2016 ◽  
Vol 1 (6) ◽  
pp. 108-111
Author(s):  
Dariusz CZERWIŃSKI
Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 37 ◽  
Author(s):  
Pieter Nguyen Phuc ◽  
Hendrik Vansompel ◽  
Dimitar Bozalakov ◽  
Kurt Stockman ◽  
Guillaume Crevecoeur

Accurate temperature estimation inside an electrical motor is key for condition monitoring, fault detection, and enhanced end-of-life duration. Additionally, thermal information can benefit motor control to improve operational performance. Lumped-parameter thermal networks (LPTNs) for electrical machines are both flexible and cost-effective in computation time, which makes them attractive for use in real-time condition monitoring and integration in motor control. However, the accuracy of these thermal networks heavily depends on the accuracy of its system parameters, some of which are difficult to calculate analytically or even empirically and need to be determined experimentally. In this paper, a methodology for the thermal condition monitoring of long-duration transient and steady-state temperatures in an induction motor is presented. To achieve this goal, a computationally efficient second-order LPTN for a 5.5 kW squirrel-cage induction motor is proposed to apprehend the dominant heat paths. A fully thermally instrumented induction motor has been prepared to collect spatial and temporal temperature information. Using the experimental stator and rotor temperature data collected at different motor operating speeds and torques, the key thermal parameter values in the LPTN are identified by means of an inverse methodology that aligns the simulated temperatures of the stator windings and rotor with the corresponding measured temperatures. Validation results show that the absolute average thermal modelling error does not exceed 1.45 °C with maximum absolute error of 2.10 °C when the motor operates at fixed speed and torque. During intermittent motor-loading operation, a mean (maximum) stator temperature error of 0.38 °C (0.92 °C) was achieved and mean (maximum) rotor errors of 2.11 °C (3.40 °C). These results show the validity of the proposed thermal model but also its ability to predict in real time the temperature variations in stator and rotor for condition monitoring and motor control.


2014 ◽  
Vol 257 ◽  
pp. 1-11 ◽  
Author(s):  
Xinfan Lin ◽  
Hector E. Perez ◽  
Shankar Mohan ◽  
Jason B. Siegel ◽  
Anna G. Stefanopoulou ◽  
...  

2021 ◽  
Vol 57 (1) ◽  
pp. 246-258
Author(s):  
Dawei Liang ◽  
Z. Q. Zhu ◽  
Yafeng Zhang ◽  
Jianghua Feng ◽  
Shuying Guo ◽  
...  

2021 ◽  
Vol 23 (2) ◽  
pp. 87-94
Author(s):  
Mahdi Atig ◽  
Mustapha Bouheraoua ◽  
Rabah Khaldi

The aim of this paper is to estimate the induction motor temperature at both steady and transient thermal states under healthy and faulty conditions. The distribution of the temperature in the motor is calculated using thermal models based on the 2D Lumped Parameter Thermal Network (LPTN). The thermal model takes into account the heat sources, convection heat transfer and the thermal resistances in the motor. The heat flow generated by the conduction and convection in a three-phase squirrel cage induction motor is discussed. The developed model is used to study the motor thermal behavior during the opening phase situation. The results obtained by the model developed are validated by experimental tests. The tested machine is a standard three-phase, 4-pole, 2.2 kW, 380 V squirrel cage induction motor of Totally Enclosed Fan Cooled “TEFC” design manufactured in Algeria by Electro-Industries company. The simulated temperatures so obtained are in good agreement with the measured ones, and the 2D Lumped Parameter Thermal Network study seems to be appropriate to characterize the heating of the active parts of the machine under different operating conditions.


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