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The impact of multiparameter ageing of stator poles of traction motors on diagnostic methods

Douvaras Antonios

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URI: http://purl.tuc.gr/dl/dias/649270A9-BF65-46EA-BB17-2AD0C6E4178C
Year 2024
Type of Item Diploma Work
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Bibliographic Citation Antonios Douvaras, "The impact of multiparameter ageing of stator poles of traction motors on diagnostic methods", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2024 https://doi.org/10.26233/heallink.tuc.99105
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Summary

Fossil fuels are extensively utilized globally due to their high energy density; however, their combustion releases greenhouse gases, contributing to global warming and, as a result, climate change. Consequently, imperative measures to reduce their usage are achievable through transitioning to green energy. As part of this transition, there is widespread adoption of electric vehicles (EVs), with electric motors serving as their core components. Permanent Magnet Synchronous Motors (PMSMs) are increasingly favoured in EVs due to their exceptional characteristics, including high torque density, elevated efficiency, and compact structure. Nevertheless, their lightweight and small size expose them to various stresses depending on application requirements, potentially resulting in progressive degradation and eventual failure. Stator faults, particularly, pose significant concerns in electric motors due to their rapid evolution into catastrophic breakdowns, often associated with insulation system degradation and failure. This master's thesis aims to apply a combination of stresses to the poles of a permanent magnet motor's stator poles with mounted armature coils. The impact of these stresses will be analysed through impedance spectroscopy employing Frequency Response Analysis (FRA), Nyquist diagrams, and the dissipation factor (tanδ). Concurrently, a detailed equivalent circuit of poles has been developed for impedance spectroscopy purposes. This circuit will clarify the impact of applying multiple stresses on the model's parameters, facilitating the identification of the affected parameter in each cycle of the multistress procedure.

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