Thermal Monitoring and Modelling of Eletrical Machine – A Review
DOI:
https://doi.org/10.15282/mekatronika.v6i1.9898Keywords:
Electrical machines, Thermal monitoring, Thermal modeling, Thermal instrumentation, Finite element modelAbstract
The temperature of an electrical machine can affect its performance and lifespan, as high temperatures can lead to thermal stress, material degradation, and reduced efficiency. Therefore, thermal monitoring and modelling of electrical machines are crucial for ensuring their optimal operation and maintenance. This paper provides overview of the recent studies and developments in these two areas, highlighting their advantages, challenges, and applications. Focuses on two aspects of thermal management in electrical machines: monitoring temperature response and modelling temperature response. The paper also identifies some future research directions and opportunities for improving thermal management in electrical machines.
References
D. Gaona, O. Wallscheid, and J. Bocker, “Fusion of a lumped-parameter thermal network and speed-dependent flux observer for PM temperature estimation in synchronous machines,” in Proceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017, 2018. doi: 10.1109/SPEC.2017.8333640.
Overheating Electric Motors: A Major Cause of Failure. Accessed: Oct. 19, 2023. [Online]. Available: https://www.efficientplantmag.com/2003/04/overheating-electric-motors-a-major-cause-of-failure/
H. Zhao, B. Xiong, and Z. Li, “Three-dimensional Transient Temperature Rise Calculation of Induction Motor under Overload Condition,” in 2022 International Conference on Electrical Machines and Systems, ICEMS 2022, 2022. doi: 10.1109/ICEMS56177.2022.9983124.
Y. Xie, C. Gu, and L. Wang, “There-dimensional temperature estimation of squirrel-cage induction motor using finite element method,” in 2011 International Conference on Electrical Machines and Systems, ICEMS 2011, 2011. doi: 10.1109/ICEMS.2011.6073627.
I. I. Fedosov, “Thermocouple Condition Monitoring Using Thermocouple Resistance. Experimental Study,” in Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020, 2020. doi: 10.1109/USBEREIT48449.2020.9117727.
T. Dong, X. Zhang, C. Zhu, Y. Lu, and M. Li, “Improved hotspot monitoring method for thermal management system of automotive traction motor,” IET Electr Power Appl, vol. 14, no. 11, 2020, doi: 10.1049/iet-epa.2020.0182.
N. Khan, F. Rafiq, F. Abedin, and F. U. Khan, “IoT based health monitoring system for electrical motors,” in 15th International Conference on Emerging Technologies, ICET 2019, 2019. doi: 10.1109/ICET48972.2019.8994398.
E. C. Quispe, X. M. López-Fernández, A. M. S. Mendes, A. J. Marques Cardoso, and J. A. Palacios, “Experimental study of the effect of positive sequence voltage on the derating of induction motors under voltage unbalance,” in 2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011, 2011. doi: 10.1109/IEMDC.2011.5994936.
M. Ganchev, B. Kubicek, and H. Kappeler, “Rotor temperature monitoring system,” in 19th International Conference on Electrical Machines, ICEM 2010, 2010. doi: 10.1109/ICELMACH.2010.5608051.
S. Badoni and R. K. Jarial, “Health Monitoring of three phase induction motor using infrared thermography,” in Proceedings of the 6th International Conference on Communication and Electronics Systems, ICCES 2021, Institute of Electrical and Electronics Engineers Inc., Jul. 2021, pp. 156–160. doi: 10.1109/ICCES51350.2021.9489095.
G. Guglielmo and M. Klincewicz, “The Temperature of Morality: A Behavioral Study concerning the Effect of Moral Decisions on Facial Thermal Variations in Video Games,” in ACM International Conference Proceeding Series, 2021. doi: 10.1145/3472538.3472582.
D. K. Chaturvedi, M. S. Iqbal, and M. Pratap, “Intelligent health monitoring system for three phase induction motor using infrared thermal image,” in International Conference on Energy Economics and Environment - 1st IEEE Uttar Pradesh Section Conference, UPCON-ICEEE 2015, 2015. doi: 10.1109/EnergyEconomics.2015.7235083.
Y. C. Chou and L. Yao, “Automatic diagnosis system of electrical equipment using infrared thermography,” in SoCPaR 2009 - Soft Computing and Pattern Recognition, 2009, pp. 155–160. doi: 10.1109/SoCPaR.2009.41.
N. Khamisan, K. H. Ghazali, A. Almisreb, and A. H. M. Zin, “Histogram-based of healthy and unhealthy bearing monitoring in induction motor by using thermal camera,” Journal of Telecommunication, Electronic and Computer Engineering, vol. 10, no. 1–9, 2018.
A. Ibrahim, F. Anayi, and M. Packianather, “New Machine Learning Model-Based Fault Diagnosis of Induction Motors Using Thermal images,” in 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, 2022. doi: 10.1109/ICACITE53722.2022.9823832.
M. Chaieb, N. Ben Hadj, J. K. Kammoun, and R. Neji, “Thermal modelling of permanent magnet motor with finite element method,” in STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, 2014. doi: 10.1109/STA.2014.7086733.
G. L. Anoop, V. P. Mini, R. Harikumar, and N. Mayadevi, “Thermal analysis of squirrel cage Induction Motor,” in 2020 IEEE International Conference on Power Electronics and Renewable Energy Applications, PEREA 2020, Institute of Electrical and Electronics Engineers Inc., Nov. 2020. doi: 10.1109/PEREA51218.2020.9339772.
X. Wang, G. Li, and C. Qu, “Temperature Field Analysis of Primary Permanent Magnet Linear Motor with Magnetic Barrier Coupling,” in 2021 13th International Symposium on Linear Drives for Industry Applications, LDIA 2021, 2021. doi: 10.1109/LDIA49489.2021.9505893.
D. Liang et al., “Tracking of Winding and Magnet Hotspots in SPMSMs Based on Synergized Lumped-Parameter and Sub-Domain Thermal Models,” IEEE Transactions on Energy Conversion, vol. 37, no. 3, 2022, doi: 10.1109/TEC.2022.3158017.
T. Huber, W. Peters, and J. Böcker, “A low-order thermal model for monitoring critical temperatures in permanent magnet synchronous motors,” in IET Conference Publications, 2014. doi: 10.1049/cp.2014.0273.
G. D. Demetriades, H. Z. De La Parra, E. Andersson, and H. Olsson, “A real-time thermal model of a permanent-magnet synchronous motor,” IEEE Trans Power Electron, vol. 25, no. 2, 2010, doi: 10.1109/TPEL.2009.2027905.
L. Idoughi, X. Mininger, F. Bouillault, L. Bernard, and E. Hoang, “Thermal model with winding homogenization and FIT discretization for stator slot,” IEEE Trans Magn, vol. 47, no. 12, 2011, doi: 10.1109/TMAG.2011.2159013.
F. Qi, M. Schenk, and R. W. De Doncker, “Discussing details of lumped parameter thermal modelling in electrical machines,” in 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014, 2014.
O. Wallscheid and J. Böcker, “Global identification of a low-order lumped-parameter thermal network for permanent magnet synchronous motors,” IEEE Transactions on Energy Conversion, vol. 31, no. 1, 2016, doi: 10.1109/TEC.2015.2473673.
P. N. Phuc, D. Bozalakov, H. Vansompel, K. Stockman, and G. Crevecoeur, “Rotor Temperature Virtual Sensing for Induction Machines Using a Lumped-Parameter Thermal Network and Dual Kalman Filtering,” IEEE Transactions on Energy Conversion, vol. 36, no. 3, 2021, doi: 10.1109/TEC.2021.3060478.
C. Paar and A. Muetze, “Thermal real-time monitoring of a gearbox integrated IPM machine for hybrid-electric traction,” IEEE Transactions on Transportation Electrification, vol. 2, no. 3, 2016, doi: 10.1109/TTE.2016.2566924.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 The Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
