Performance Enhancement of a Switched Reluctance Motor Using Hybrid Excitation Method for Electric Vehicle Applications

Abhijith, Vijina

Performance Enhancement of a Switched Reluctance Motor Using Hybrid Excitation Method for Electric Vehicle Applications

Abhijith, Vijina

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Publication Type:: Thesis
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Abhijith, Vijina
dc.date.accessioned	2023-11-26T22:30:09Z
dc.date.available	2023-11-26T22:30:09Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10453/173566
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	Switched reluctance motors (SRMs) have been a growing interest in industrial and commercial applications because of their simple construction, reliability, and fault tolerance. Moreover, SRMs are rising in applications in electric vehicles (EVs) because of their unique features and the absence of permanent magnets (PMs). Hence, researchers have been trending over these for years to elevate motor performance by incorporating the behavior of rare earth materials. The significant contribution of this research is to enhance the performance of the SRMs by using the hybrid excitation method (HESRM) without the utilization of PMs. Consequently, this is achieved by externally injecting direct current (DC) into the separately excited auxiliary windings. The simulation results are verified through the experimental results and are similar for both topologies, which can produce high torque across all the speeds. Subsequently, finding a new shortest flux path by allocating the auxiliary winding to the alternate poles in the second topology contributes more electromagnetic torque than in the first. The designed motor achieves high torque capability; however, the result shows a high degree of torque ripple. This thesis proposed a method to minimize the ripple through phase advancing to overcome the issue. The turn-on and off-angle would effectively subsidize the delay between the switching on and off currents in the phase excitation. This approach with new topologies aims to enhance the torque performance with a minimal ripple that will lead to acting as a promising candidate for variable speed applications. Furthermore, this research intends to find the maximum torque per ampere for the wide speed ranges. While considering the limitation in motor specifications in EV loads, the analysis of the system models restricted the vehicle parameters. The coupled structure gives the overall idea of the system to analyze the proposed methods that have proven their torque capabilities in EVs. Additionally, this research aims to locate the optimal parameter values for the machines and controllers through system-level optimization. For this purpose, an integrated multi-objective genetic algorithm (MOGA) approach gains to accomplish the maximum potential design for the desired HESRM. Correspondingly, the research significantly improves the torque profile and efficiency within the machine constraints. Consequently, the novel contribution achieved in the design is to deliver higher torque density with minimum ripple. In conclusion, the research compares and discusses the results of the proposed methods of topologies with conventional motors of the same ratings, and the findings are adaptable for EVs.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/173566/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2023 Vijina Abhijith
dc.rights	au.edu.uts.lib/cph
dc.title	Performance Enhancement of a Switched Reluctance Motor Using Hybrid Excitation Method for Electric Vehicle Applications	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Switched reluctance motors (SRMs) have been a growing interest in industrial and commercial applications because of their simple construction, reliability, and fault tolerance. Moreover, SRMs are rising in applications in electric vehicles (EVs) because of their unique features and the absence of permanent magnets (PMs). Hence, researchers have been trending over these for years to elevate motor performance by incorporating the behavior of rare earth materials. The significant contribution of this research is to enhance the performance of the SRMs by using the hybrid excitation method (HESRM) without the utilization of PMs. Consequently, this is achieved by externally injecting direct current (DC) into the separately excited auxiliary windings. The simulation results are verified through the experimental results and are similar for both topologies, which can produce high torque across all the speeds. Subsequently, finding a new shortest flux path by allocating the auxiliary winding to the alternate poles in the second topology contributes more electromagnetic torque than in the first. The designed motor achieves high torque capability; however, the result shows a high degree of torque ripple. This thesis proposed a method to minimize the ripple through phase advancing to overcome the issue. The turn-on and off-angle would effectively subsidize the delay between the switching on and off currents in the phase excitation. This approach with new topologies aims to enhance the torque performance with a minimal ripple that will lead to acting as a promising candidate for variable speed applications. Furthermore, this research intends to find the maximum torque per ampere for the wide speed ranges. While considering the limitation in motor specifications in EV loads, the analysis of the system models restricted the vehicle parameters. The coupled structure gives the overall idea of the system to analyze the proposed methods that have proven their torque capabilities in EVs. Additionally, this research aims to locate the optimal parameter values for the machines and controllers through system-level optimization. For this purpose, an integrated multi-objective genetic algorithm (MOGA) approach gains to accomplish the maximum potential design for the desired HESRM. Correspondingly, the research significantly improves the torque profile and efficiency within the machine constraints. Consequently, the novel contribution achieved in the design is to deliver higher torque density with minimum ripple. In conclusion, the research compares and discusses the results of the proposed methods of topologies with conventional motors of the same ratings, and the findings are adaptable for EVs.

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http://hdl.handle.net/10453/173566