Abstract
This paper proposes a non-invasive method of predicting health monitoring of a three-phase Squirrel Cage Induction Motor (SCIM). A 15 kW SCIM is modelled using Finite Element Analysis (FEA) for performing magnetic analysis to design a restraining coil. Since, torque developed depends on magnitude of flux, an electronic system is designed to display the torque. Health condition of SCIM is predicted based on torque magnitude. A typical implementation of the proposed scheme on 15 kW SCIM revealed a satisfactory correlation between the experimental and simulation results. The proposed approach aids to monitor the SCIM in Electric Vehicles (EVs) without physical intervention.
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References
Goktas T et al (2016) Comprehensive analysis of magnet defect fault monitoring through leakage flux. IEEE Trans Magn 53(4):1–10
Goktas T, Zafarani M, Lee KW, Akin B, Sculley T (2017) Comprehensive analysis of magnet defect fault monitoring through leakage flux. IEEE Trans Magn 53(4):1–10
Ertan HB Keysan O (2009) External search coil as a means of measuring rotor speed of an induction motor. In: International symposium on advanced electromechanical motion systems & electric drives joint symposium, pp. 1–6
Henao H, Capolino GA, Martis G (2003) On the stray flux analysis for the detection of the three-phase induction machine faults. In: IAS annual meeting on conference record of the industry applications conference, pp. 1368–1373
Kong W, Qu R, Kang M, Huang J, Jing L (2017) Air-gap and yoke flux density optimization for multiphase induction motor based on novel harmonic current injection method. IEEE Trans Ind Appl 53(3):2140–2148
Koroglu S, Adam AA, Umurkan N, Gulez K (2009) Leakage magnetic flux density in the vicinity of induction motor during operation. Electr Eng (Archiv fur Elektrotechnik) 91(1):15–21
Elkasabgy NM, Eastham AR, Dawson GE (1992) Detection of broken bars in the cage rotor on an induction machine. IEEE Trans Ind Appl 28(1):165–171
Dehghan H, Haghjoo F, Cruz SM (2018) A flux-based differential technique for turn-to-turn fault detection and defective region identification in line-connected and inverter-fed induction motors. IEEE Trans Energy Convers 33(4):1876–1885
Cheaytani J et al (2015) End-region leakage fluxes and losses analysis of cage induction motors using 3-d finite-element method. IEEE Trans Magn 51(3):1–4
Le Coat G et al (1999) Electromagnetic signature of induction machines. IEEE Trans Energy Conver 14(3):628–632
Lin R, Arkkio A (2009) Calculation and analysis of stator end-winding leakage inductance of an induction machine. IEEE Trans Magn 45(4)
Eastham JF, Balchin MF, Rodger D (1981) Measurement and calculation of rotor-core flux densities in axial flux linear induction motors. IEE Proc 128, Pt. B, No. 6
Sangsefidi Y, Ziaeinejad S, Nabi HP, Shoulaie A (2014) Induction motor control based on approximate stator flux. IET Power Electron 7(11):2765–2777
Farasat M, Trzynadlowski AM, Fadali MS (2014) Efficiency improved sensorless control scheme for electric vehicle induction motors. IET Electr Syst Transp 4(4):122–131
Silva WL, Lima AMN, Oliveira A (2014) A method for measuring torque of squirrel-cage induction motors without any mechanical sensor. IEEE Trans Instrum Measur 64(5):1223–1231
Chen J, Yang S (2011) Application of Proteus software in MCU teaching. In: 2011 second international conference on mechanic automation and control engineering, Hohhot, pp 6359–6362
Acknowledgements
The authors would like to express their profound gratitude to Dr. M. Arulantham, Dean, Faculty of Engineering and Technology, Dr. K.M. Sharath Kumar, Deputy Director, Directorate of sponsor research and the management of M.S. Ramaiah University of Applied Sciences for their continuous encouragement and kind support for providing the facility to carry out the research.
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S Hooli, S., Vadde, A., Manickavasagam, K., Kadambi, G.R. (2021). Measurement of Torque Using Leakage Flux for Induction Motors in Electric Vehicles by Non-invasive Method. In: Favorskaya, M.N., Mekhilef, S., Pandey, R.K., Singh, N. (eds) Innovations in Electrical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 661. Springer, Singapore. https://doi.org/10.1007/978-981-15-4692-1_38
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DOI: https://doi.org/10.1007/978-981-15-4692-1_38
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